Journal articles: 'Transcriptome comparison'

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Ochsner, Scott A., Christopher M. Watkins, Apollo McOwiti, Xueping Xu, Yolanda F. Darlington, Michael D. Dehart, Austin J. Cooney, David L. Steffen, Lauren B. Becnel, and Neil J. McKenna. "Transcriptomine, a web resource for nuclear receptor signaling transcriptomes." Physiological Genomics 44, no. 17 (September 1, 2012): 853–63. http://dx.doi.org/10.1152/physiolgenomics.00033.2012.

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The nuclear receptor (NR) superfamily of ligand-regulated transcription factors directs ligand- and tissue-specific transcriptomes in myriad developmental, metabolic, immunological, and reproductive processes. The NR signaling field has generated a wealth of genome-wide expression data points, but due to deficits in their accessibility, annotation, and integration, the full potential of these studies has not yet been realized. We searched public gene expression databases and MEDLINE for global transcriptomic datasets relevant to NRs, their ligands, and coregulators. We carried out extensive, deep reannotation of the datasets using controlled vocabularies for RNA Source and regulating molecule and resolved disparate gene identifiers to official gene symbols to facilitate comparison of fold changes and their significance across multiple datasets. We assembled these data points into a database, Transcriptomine ( http://www.nursa.org/transcriptomine ), that allows for multiple, menu-driven querying strategies of this transcriptomic “superdataset,” including single and multiple genes, Gene Ontology terms, disease terms, and uploaded custom gene lists. Experimental variables such as regulating molecule, RNA Source, as well as fold-change and P value cutoff values can be modified, and full data records can be either browsed or downloaded for downstream analysis. We demonstrate the utility of Transcriptomine as a hypothesis generation and validation tool using in silico and experimental use cases. Our resource empowers users to instantly and routinely mine the collective biology of millions of previously disparate transcriptomic data points. By incorporating future transcriptome-wide datasets in the NR signaling field, we anticipate Transcriptomine developing into a powerful resource for the NR- and other signal transduction research communities.

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Gonzalez-Ibeas, Daniel, Pedro J. Martinez-Garcia, Randi A. Famula, Annette Delfino-Mix, Kristian A. Stevens, Carol A. Loopstra, Charles H. Langley, David B. Neale, and Jill L. Wegrzyn. "Assessing the Gene Content of the Megagenome: Sugar Pine (Pinus lambertiana)." G3 Genes|Genomes|Genetics 6, no. 12 (December 1, 2016): 3787–802. http://dx.doi.org/10.1534/g3.116.032805.

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Abstract Sugar pine (Pinus lambertiana Douglas) is within the subgenus Strobus with an estimated genome size of 31 Gbp. Transcriptomic resources are of particular interest in conifers due to the challenges presented in their megagenomes for gene identification. In this study, we present the first comprehensive survey of the P. lambertiana transcriptome through deep sequencing of a variety of tissue types to generate more than 2.5 billion short reads. Third generation, long reads generated through PacBio Iso-Seq have been included for the first time in conifers to combat the challenges associated with de novo transcriptome assembly. A technology comparison is provided here to contribute to the otherwise scarce comparisons of second and third generation transcriptome sequencing approaches in plant species. In addition, the transcriptome reference was essential for gene model identification and quality assessment in the parallel project responsible for sequencing and assembly of the entire genome. In this study, the transcriptomic data were also used to address questions surrounding lineage-specific Dicer-like proteins in conifers. These proteins play a role in the control of transposable element proliferation and the related genome expansion in conifers.

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Reznikov, Leah R., David K. Meyerholz, Mahmoud Abou Alaiwa, Shin-Ping Kuan, Yan-Shin J. Liao, Nicholas L. Bormann, Thomas B. Bair, Margaret Price, David A. Stoltz, and Michael J. Welsh. "The vagal ganglia transcriptome identifies candidate therapeutics for airway hyperreactivity." American Journal of Physiology-Lung Cellular and Molecular Physiology 315, no. 2 (August 1, 2018): L133—L148. http://dx.doi.org/10.1152/ajplung.00557.2017.

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Mainstay therapeutics are ineffective in some people with asthma, suggesting a need for additional agents. In the current study, we used vagal ganglia transcriptome profiling and connectivity mapping to identify compounds beneficial for alleviating airway hyperreactivity (AHR). As a comparison, we also used previously published transcriptome data from sensitized mouse lungs and human asthmatic endobronchial biopsies. All transcriptomes revealed agents beneficial for mitigating AHR; however, only the vagal ganglia transcriptome identified agents used clinically to treat asthma (flunisolide, isoetarine). We also tested one compound identified by vagal ganglia transcriptome profiling that had not previously been linked to asthma and found that it had bronchodilator effects in both mouse and pig airways. These data suggest that transcriptome profiling of the vagal ganglia might be a novel strategy to identify potential asthma therapeutics.

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Quan, Qing, Lu Zhu, Qi Zheng, Hao Wu, Jing Jing, Qing Chen, Ya Liu, et al. "Comparison of the pituitary gland transcriptome in pregnant and non-pregnant goats (Capra hircus)." Czech Journal of Animal Science 64, No. 10 (October 14, 2019): 420–30. http://dx.doi.org/10.17221/141/2019-cjas.

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Pregnancy is strictly regulated by neuronal and hormonal factors with an essential role being played by the pituitary gland. We screened for differentially expressed genes (DEGs) in the pituitary that function in goat gestational development. Pregnant (AWGp) and non-pregnant Anhui white goats (AWGn) were analysed by deep-sequencing technology. A total of 12 774 092 and 13 872 327 clear reads were obtained in the AWGp and AWGn libraries, respectively. A total of 2593 genes were labelled as significantly differentially expressed in AWGp compared to AWGn, including 2158 upregulated genes and 435 downregulated genes. These genes included follicle stimulating hormone beta (FSHB) and luteinizing hormone beta (LHB), which showed an involvement in reproductive regulation and downregulation (AWGp vs AWGn). Quantitative real-time PCR (qPCR) results validated the DEG data. Subsequent gene ontology analysis indicated that a large number of these DEGs function in cellular processes, cell structures, and cell binding. The DEGs were also found by Kyoto Gene and Genomic Encyclopaedia analysis to be significantly enriched in 54 pathways, including the GnRH and TGF-beta signalling pathways that affect cell proliferation and hormone secretion. These data also identify genes that may play a role in pregnancy and reproduction in the goat and thus provide avenues for future research.

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Londin, Eric R., Eleftheria Hatzimichael, Phillipe Loher, Leonard C. Edelstein, Chad Shaw, Kathleen Delgrosso, Paolo M. Fortina, Paul F. Bray, Steven E. McKenzie, and Isidore Rigoutsos. "Towards a Reference Human Platelet Transcriptome: Evaluation Of Inter-Individual Correlations and Its Relationship With a Platelet Proteome." Blood 122, no. 21 (November 15, 2013): 2297. http://dx.doi.org/10.1182/blood.v122.21.2297.2297.

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Abstract Next generation sequencing of RNA (RNA-seq) is an emerging technology that has so far been used successfully to profile the transcriptomes of several cell types and cell states. For the platelet transcriptome, RNA-seq descriptions exist for only a few subjects. Additionally, there have been no studies of the same individual’s transcriptome using two different technologies. As such, it has been unclear how well platelet transcriptomes correlate among different donors or across different RNA platforms, and what the transcriptomes’ relationship is with the platelet proteome. We generated RNA-seq profiles of the long RNA transcriptomes from the platelets of 10 healthy young males (5 white and 5 black). In addition to RNA-seq, we profiled the platelet messenger RNAs of the same 10 individuals using the Affymetrix GeneChip System. We observed that the abundance of platelet mRNA transcripts was highly correlated across the 10 individuals, a finding that was independent of race and of the employed technology. Additionally, our RNA-seq data showed that these high inter-individual correlations extend beyond mRNAs to several categories of non-coding RNAs. However, there was a notable exception: the category of pseudogenes exhibited a clear difference in expression by race. Comparison of our mRNA signatures with the only publicly available quantitative platelet proteome data showed that most (87.5%) identified platelet proteins had a detectable corresponding mRNA. Interestingly, there was also a high number of mRNAs that were present in the transcriptomes of all 10 individuals but had no representation in the proteome. Spearman correlation of the relative abundances for those platelet genes that were represented by both an mRNA and a protein, revealed an unexpectedly weak correlation between the transcriptome and the proteome. Further analysis of the overlapping and non-overlapping platelet mRNAs and proteins identified groups of genes with very distinct characteristics. Gene Ontology analysis of the respective gene identifiers revealed that the gene groups corresponded to distinct cellular processes, an interesting finding that provides novel insights for platelet biology. The very high inter-individual correlations of the transcriptome signatures across 10 different subjects representing two races together with the results of our analyses indicate that it is feasible to assemble a platelet mRNA-ome that can serve as a reference for future platelet transcriptomic studies of human health and disease. Disclosures: No relevant conflicts of interest to declare.

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Zahavi, Tamar, Gil Stelzer, Lior Strauss, Asher Y. Salmon, and Mali Salmon-Divon. "VennBLAST—Whole transcriptome comparison and visualization tool." Genomics 105, no. 3 (March 2015): 131–36. http://dx.doi.org/10.1016/j.ygeno.2014.12.004.

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Liu, Dandan, Zhengxi Li, and Maolin Hou. "Comparison of Transcriptome Responses between Sogatella furcifera Females That Acquired Southern Rice Black-Streaked Dwarf Virus and Not." Insects 13, no. 2 (February 9, 2022): 182. http://dx.doi.org/10.3390/insects13020182.

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The southern rice black-streaked dwarf virus (SRBSDV) is transmitted horizontally by Sogatella furcifera in a persistent, propagative manner. Exposure of S. furcifera females to SRBSDV-infected rice plants may trigger transcriptomic changes in the insects, the transcriptomes of females that acquired SRBSDV and those that failed to, as well as females fed on healthy rice plants as control, were sequenced and compared. Nine transcriptomic libraries were constructed, from which a total of 53,084 genes were assembled. Among the genes, 1043 and 2932 were differentially expressed genes (DEGs) in S. furcifera females that acquired SRBSDV and that failed to, in comparison with the control, respectively. Functional enrichment analysis showed that DEGs identified in S. furcifera females exposed to SRBSDV are primarily involved in diverse signaling pathways related to primary metabolism and innate immunity. The DEGs in the S. furcifera females that failed to acquire the virus significantly outnumbered that in the insects that acquired the virus, and the virus exposure activated the humoral and cellular immune responses of the vectors, especially the apoptosis. The key gene in apoptosis encoding caspase 1 was upregulated by SRBSDV exposure, especially in S. furcifera females that failed to acquire the virus. Analysis of caspase 1 activity validated that SRBSDV exposure induced caspase 1 accumulation. Surprisingly, the expression of six female-specific genes was also upregulated by SRBSDV exposure, which was confirmed by RT-qPCR analysis. This study provides evidence to explain the differential virus acquisition at the transcriptome level.

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Baranwal, Vinay Kumar, Nisha Negi, and Paramjit Khurana. "Comparative transcriptomics of leaves of five mulberry accessions and cataloguing structural and expression variants for future prospects." PLOS ONE 16, no. 7 (July 14, 2021): e0252246. http://dx.doi.org/10.1371/journal.pone.0252246.

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Bombyx mori, a monophagous insect, prefers leaves of the certain species of Morus more than others. The preference has been attributed to morphological and anatomical features and biochemical compounds. In the present manuscript a comparison has been made among the transcriptome of leaves of the two preferred cultivated varieties and three wild types species. While assembling, high quality transcriptomes of five genotypes were constructed with a total of 100930, 151245, 89724, 181761 and 102908 transcripts from ML, MN, MS, K2 and V1 samples respectively. Further, to compare them, orthologs were identified from these assembled transcriptome. A total of 22462, 23413, 23685, 24371, 18362, 22326, 20058, 18049, 17567 and 20518 clusters of orthologs were found in one to one comparison in KvsN, KvsL, KvsS, KvsV, LvsN, LvsS, LvsV, NvsS, NvsV, and SvsV respectively. 4236 orthologs with algebraic connectivity of 1.0 were then used to compare and to find out differentially expressed transcripts from all the genotypes. A total of 1037 transcripts expressed that include some of the important morphology, anatomy and biochemical pathways regulating transcription factors (AP2/ERFs and C2H2 Zinc fingers) and signalling components were identified to express differentially. Further, these transcriptomes were used find out markers (SSR) and variants and a total of 1101013, 537245, 970877, 310437, 675772, 338400, 581189, 751477, 514999 and 257107 variants including SNP, MNP, Insertions and deletions were found in one to one comparisons. Taken together, our data could be highly useful for mulberry community worldwide as it could be utilized in mulberry breeding programs.

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Sseruwagi, Peter, James Wainaina, Joseph Ndunguru, Robooni Tumuhimbise, Fred Tairo, Jian-Yang Guo, Alice Vrielink, et al. "The first transcriptomes from field-collected individual whiteflies (Bemisia tabaci, Hemiptera: Aleyrodidae)." Gates Open Research 1 (December 28, 2017): 16. http://dx.doi.org/10.12688/gatesopenres.12783.1.

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Background: Bemisia tabaci species (B. tabaci), or whiteflies, are the world’s most devastating insect pests. They cause billions of dollars (US) of damage each year, and are leaving farmers in the developing world food insecure. Currently, all publically available transcriptome data for B. tabaci are generated from pooled samples, which can lead to high heterozygosity and skewed representation of the genetic diversity. The ability to extract enough RNA from a single whitefly has remained elusive due to their small size and technological limitations. Methods: In this study, we optimised the single whitefly RNA extraction procedure, and sequenced the transcriptome of four individual adult Sub-Saharan Africa (SSA1) B. tabaci. Transcriptome sequencing resulted in 39-42 million raw reads. De novo assembly of trimmed reads yielded between 65,000-162,000 transcripts across B. tabaci transcriptomes. Results: Bayesian phylogenetic analysis of mitochondrion cytochrome I oxidase (mtCOI) grouped the four whiteflies within the SSA1 clade. BLASTn searches on the four transcriptomes identified five endosymbionts; the primary endosymbiont Portiera aleyrodidarum and four secondary endosymbionts: Arsenophonus, Wolbachia, Rickettsia, and Cardinium spp. that were predominant across all four SSA1 B. tabaci samples with prevalence levels between 54.1-75%. Amino acid alignments of the NusG gene of P. aleyrodidarum for the SSA1 B. tabaci transcriptomes of samples WF2 and WF2b revealed an eleven amino acid residue deletion that was absent in samples WF1 and WF2a. Comparison of the protein structure of the NusG protein from P. aleyrodidarum in SSA1 with known NusG structures showed the deletion resulted in a shorter D loop. Conclusions: The use of field-collected specimens means time and money will be saved in future studies using single whitefly transcriptomes in monitoring vector and viral interactions. Our method is applicable to any small organism where RNA quantity has limited transcriptome studies.

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Sseruwagi, Peter, James Wainaina, Joseph Ndunguru, Robooni Tumuhimbise, Fred Tairo, Jian-Yang Guo, Alice Vrielink, et al. "The first transcriptomes from field-collected individual whiteflies (Bemisia tabaci, Hemiptera: Aleyrodidae)." Gates Open Research 1 (February 13, 2018): 16. http://dx.doi.org/10.12688/gatesopenres.12783.2.

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Background: Bemisia tabaci species (B. tabaci), or whiteflies, are the world’s most devastating insect pests. They cause billions of dollars (US) of damage each year, and are leaving farmers in the developing world food insecure. Currently, all publically available transcriptome data for B. tabaci are generated from pooled samples, which can lead to high heterozygosity and skewed representation of the genetic diversity. The ability to extract enough RNA from a single whitefly has remained elusive due to their small size and technological limitations. Methods: In this study, we optimised a single whitefly RNA extraction procedure, and sequenced the transcriptome of four individual adult Sub-Saharan Africa 1 (SSA1) B. tabaci. Transcriptome sequencing resulted in 39-42 million raw reads. De novo assembly of trimmed reads yielded between 65,000-162,000 Contigs across B. tabaci transcriptomes. Results: Bayesian phylogenetic analysis of mitochondrion cytochrome I oxidase (mtCOI) grouped the four whiteflies within the SSA1 clade. BLASTn searches on the four transcriptomes identified five endosymbionts; the primary endosymbiont Portiera aleyrodidarum and four secondary endosymbionts: Arsenophonus, Wolbachia, Rickettsia, and Cardinium spp. that were predominant across all four SSA1 B. tabaci samples with prevalence levels of between 54.1 to 75%. Amino acid alignments of the NusG gene of P. aleyrodidarum for the SSA1 B. tabaci transcriptomes of samples WF2 and WF2b revealed an eleven amino acid residue deletion that was absent in samples WF1 and WF2a. Comparison of the protein structure of the NusG protein from P. aleyrodidarum in SSA1 with known NusG structures showed the deletion resulted in a shorter D loop. Conclusions: The use of field-collected specimens means time and money will be saved in future studies using single whitefly transcriptomes in monitoring vector and viral interactions. Our method is applicable to any small organism where RNA quantity has limited transcriptome studies.

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Sseruwagi, Peter, James Wainaina, Joseph Ndunguru, Robooni Tumuhimbise, Fred Tairo, Jian-Yang Guo, Alice Vrielink, et al. "The first transcriptomes from field-collected individual whiteflies (Bemisia tabaci, Hemiptera: Aleyrodidae): a case study of the endosymbiont composition." Gates Open Research 1 (March 8, 2018): 16. http://dx.doi.org/10.12688/gatesopenres.12783.3.

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Background: Bemisia tabaci species (B. tabaci), or whiteflies, are the world’s most devastating insect pests. They cause billions of dollars (US) of damage each year, and are leaving farmers in the developing world food insecure. Currently, all publically available transcriptome data for B. tabaci are generated from pooled samples, which can lead to high heterozygosity and skewed representation of the genetic diversity. The ability to extract enough RNA from a single whitefly has remained elusive due to their small size and technological limitations. Methods: In this study, we optimised a single whitefly RNA extraction procedure, and sequenced the transcriptome of four individual adult Sub-Saharan Africa 1 (SSA1) B. tabaci. Transcriptome sequencing resulted in 39-42 million raw reads. De novo assembly of trimmed reads yielded between 65,000-162,000 Contigs across B. tabaci transcriptomes. Results: Bayesian phylogenetic analysis of mitochondrion cytochrome I oxidase (mtCOI) grouped the four whiteflies within the SSA1 clade. BLASTn searches on the four transcriptomes identified five endosymbionts; the primary endosymbiont Portiera aleyrodidarum and four secondary endosymbionts: Arsenophonus, Wolbachia, Rickettsia, and Cardinium spp. that were predominant across all four SSA1 B. tabaci samples with prevalence levels of between 54.1 to 75%. Amino acid alignments of the NusG gene of P. aleyrodidarum for the SSA1 B. tabaci transcriptomes of samples WF2 and WF2b revealed an eleven amino acid residue deletion that was absent in samples WF1 and WF2a. Comparison of the protein structure of the NusG protein from P. aleyrodidarum in SSA1 with known NusG structures showed the deletion resulted in a shorter D loop. Conclusions: The use of field-collected specimens means time and money will be saved in future studies using single whitefly transcriptomes in monitoring vector and viral interactions. Our method is applicable to any small organism where RNA quantity has limited transcriptome studies.

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Gutierrez-Gonzalez, Juan J., Pedro García, Carlos Polanco, Ana Isabel González, Francisca Vaquero, Francisco Javier Vences, Marcelino Pérez de la Vega, and Luis E. Sáenz de Miera. "Multi-Species Transcriptome Assemblies of Cultivated and Wild Lentils (Lens sp.) Provide a First Glimpse at the Lentil Pangenome." Agronomy 12, no. 7 (July 5, 2022): 1619. http://dx.doi.org/10.3390/agronomy12071619.

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Lentils (Lens sp.) are one of the main sources of protein for humans in many regions, in part because their rusticity allows them to withstand semi-dry climates and tolerate a wide spectrum of pests. Both are also highly sought-after attributes to face climate change. Wild accessions, rather than cultivated varieties, are typically the holders of most influential alleles for rusticity traits. However, most genomic and transcriptomic research conducted in lentils has been carried out on commercial accessions (L. culinaris), while wild relatives have been largely neglected. Herein, we assembled, annotated, and evaluated the transcriptomes of eight lentil accessions, including the cultivated Lens culinaris and the wild relatives: L. orientalis, L. tomentosus, L. ervoides, L. lamottei, L. nigricans, and two L. odemensis. The assemblies allowed, for the first time, a comparison among different lentil taxa at the coding sequence level, providing further insights into the evolutionary relationships between cultivated and wild germplasm and suggesting a grouping of the seven accessions into at least three conceivable gene pools. Moreover, orthologous clustering allowed a first estimation of the lentil pan-transcriptome. It is composed of 15,910 core genes, encoded in all accessions, and 24,226 accessory genes. The different pan-transcriptome clusters were also screened for Pfam-domain enrichment. The present study has a high novelty, as it is the first pan-transcriptome analysis using six wild species in addition to cultivated species. Because of the amount of transcript sequences provided, our findings will greatly boost lentil research and assist breeding efforts.

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Chen, L., J. Luo, J. X. Li, J. J. Li, D. Q. Wang, Y. Tian, and L. Z. Lu. "Transcriptome analysis of adiposity in domestic ducks by transcriptomic comparison with their wild counterparts." Animal Genetics 46, no. 3 (April 27, 2015): 299–307. http://dx.doi.org/10.1111/age.12294.

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Morcillo, Rafael, Juan Vílchez, Song Zhang, Richa Kaushal, Danxia He, Hailing Zi, Renyi Liu, Karsten Niehaus, Avtar Handa, and Huiming Zhang. "Plant Transcriptome Reprograming and Bacterial Extracellular Metabolites Underlying Tomato Drought Resistance Triggered by a Beneficial Soil Bacteria." Metabolites 11, no. 6 (June 9, 2021): 369. http://dx.doi.org/10.3390/metabo11060369.

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Water deficit is one of the major constraints to crop production and food security worldwide. Some plant growth-promoting rhizobacteria (PGPR) strains are capable of increasing plant drought resistance. Knowledge about the mechanisms underlying bacteria-induced plant drought resistance is important for PGPR applications in agriculture. In this study, we show the drought stress-mitigating effects on tomato plants by the Bacillus megaterium strain TG1-E1, followed by the profiling of plant transcriptomic responses to TG1-E1 and the profiling of bacterial extracellular metabolites. Comparison between the transcriptomes of drought-stressed plants with and without TG1-E1 inoculation revealed bacteria-induced transcriptome reprograming, with highlights on differentially expressed genes belonging to the functional categories including transcription factors, signal transduction, and cell wall biogenesis and organization. Mass spectrometry-based analysis identified over 40 bacterial extracellular metabolites, including several important regulators or osmoprotectant precursors for increasing plant drought resistance. These results demonstrate the importance of plant transcriptional regulation and bacterial metabolites in PGPR-induced plant drought resistance.

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Cordoba, Javier, Emilie Perez, Mick Van Vlierberghe, Amandine R. Bertrand, Valérian Lupo, Pierre Cardol, and Denis Baurain. "De Novo Transcriptome Meta-Assembly of the Mixotrophic Freshwater Microalga Euglena gracilis." Genes 12, no. 6 (May 29, 2021): 842. http://dx.doi.org/10.3390/genes12060842.

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Euglena gracilis is a well-known photosynthetic microeukaryote considered as the product of a secondary endosymbiosis between a green alga and a phagotrophic unicellular belonging to the same eukaryotic phylum as the parasitic trypanosomatids. As its nuclear genome has proven difficult to sequence, reliable transcriptomes are important for functional studies. In this work, we assembled a new consensus transcriptome by combining sequencing reads from five independent studies. Based on a detailed comparison with two previously released transcriptomes, our consensus transcriptome appears to be the most complete so far. Remapping the reads on it allowed us to compare the expression of the transcripts across multiple culture conditions at once and to infer a functionally annotated network of co-expressed genes. Although the emergence of meaningful gene clusters indicates that some biological signal lies in gene expression levels, our analyses confirm that gene regulation in euglenozoans is not primarily controlled at the transcriptional level. Regarding the origin of E. gracilis, we observe a heavily mixed gene ancestry, as previously reported, and rule out sequence contamination as a possible explanation for these observations. Instead, they indicate that this complex alga has evolved through a convoluted process involving much more than two partners.

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Weirather, Jason L., Mariateresa de Cesare, Yunhao Wang, Paolo Piazza, Vittorio Sebastiano, Xiu-Jie Wang, David Buck, and Kin Fai Au. "Comprehensive comparison of Pacific Biosciences and Oxford Nanopore Technologies and their applications to transcriptome analysis." F1000Research 6 (February 3, 2017): 100. http://dx.doi.org/10.12688/f1000research.10571.1.

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Background: Given the demonstrated utility of Third Generation Sequencing [Pacific Biosciences (PacBio) and Oxford Nanopore Technologies (ONT)] long reads in many studies, a comprehensive analysis and comparison of their data quality and applications is in high demand. Methods: Based on the transcriptome sequencing data from human embryonic stem cells, we analyzed multiple data features of PacBio and ONT, including error pattern, length, mappability and technical improvements over previous platforms. We also evaluated their application to transcriptome analyses, such as isoform identification and quantification and characterization of transcriptome complexity, by comparing the performance of PacBio, ONT and their corresponding Hybrid-Seq strategies (PacBio+Illumina and ONT+Illumina). Results: PacBio shows overall better data quality, while ONT provides a higher yield. As with data quality, PacBio performs marginally better than ONT in most aspects for both long reads only and Hybrid-Seq strategies in transcriptome analysis. In addition, Hybrid-Seq shows superior performance over long reads only in most transcriptome analyses. Conclusions: Both PacBio and ONT sequencing are suitable for full-length single-molecule transcriptome analysis. As this first use of ONT reads in a Hybrid-Seq analysis has shown, both PacBio and ONT can benefit from a combined Illumina strategy. The tools and analytical methods developed here provide a resource for future applications and evaluations of these rapidly-changing technologies.

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Weirather, Jason L., Mariateresa de Cesare, Yunhao Wang, Paolo Piazza, Vittorio Sebastiano, Xiu-Jie Wang, David Buck, and Kin Fai Au. "Comprehensive comparison of Pacific Biosciences and Oxford Nanopore Technologies and their applications to transcriptome analysis." F1000Research 6 (June 19, 2017): 100. http://dx.doi.org/10.12688/f1000research.10571.2.

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Background: Given the demonstrated utility of Third Generation Sequencing [Pacific Biosciences (PacBio) and Oxford Nanopore Technologies (ONT)] long reads in many studies, a comprehensive analysis and comparison of their data quality and applications is in high demand. Methods: Based on the transcriptome sequencing data from human embryonic stem cells, we analyzed multiple data features of PacBio and ONT, including error pattern, length, mappability and technical improvements over previous platforms. We also evaluated their application to transcriptome analyses, such as isoform identification and quantification and characterization of transcriptome complexity, by comparing the performance of size-selected PacBio, non-size-selected ONT and their corresponding Hybrid-Seq strategies (PacBio+Illumina and ONT+Illumina). Results: PacBio shows overall better data quality, while ONT provides a higher yield. As with data quality, PacBio performs marginally better than ONT in most aspects for both long reads only and Hybrid-Seq strategies in transcriptome analysis. In addition, Hybrid-Seq shows superior performance over long reads only in most transcriptome analyses. Conclusions: Both PacBio and ONT sequencing are suitable for full-length single-molecule transcriptome analysis. As this first use of ONT reads in a Hybrid-Seq analysis has shown, both PacBio and ONT can benefit from a combined Illumina strategy. The tools and analytical methods developed here provide a resource for future applications and evaluations of these rapidly-changing technologies.

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Penin, Aleksey A., Anna V. Klepikova, Artem S. Kasianov, Evgeny S. Gerasimov, and Maria D. Logacheva. "Comparative Analysis of Developmental Transcriptome Maps of Arabidopsis thaliana and Solanum lycopersicum." Genes 10, no. 1 (January 15, 2019): 50. http://dx.doi.org/10.3390/genes10010050.

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The knowledge of gene functions in model organisms is the starting point for the analysis of gene function in non-model species, including economically important ones. Usually, the assignment of gene functions is based on sequence similarity. In plants, due to a highly intricate gene landscape, this approach has some limitations. It is often impossible to directly match gene sets from one plant species to another species based only on their sequences. Thus, it is necessary to use additional information to identify functionally similar genes. Expression patterns have great potential to serve as a source of such information. An important prerequisite for the comparative analysis of transcriptomes is the existence of high-resolution expression maps consisting of comparable samples. Here, we present a transcriptome atlas of tomato (Solanum lycopersicum) consisting of 30 samples of different organs and developmental stages. The samples were selected in a way that allowed for side-by-side comparison with the Arabidopsis thaliana transcriptome map. Newly obtained data are integrated in the TraVA database and are available online, together with tools for their analysis. In this paper, we demonstrate the potential of comparing transcriptome maps for inferring shifts in the expression of paralogous genes.

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Wall, P. Kerr, Jim Leebens-Mack, André S. Chanderbali, Abdelali Barakat, Erik Wolcott, Haiying Liang, Lena Landherr, et al. "Comparison of next generation sequencing technologies for transcriptome characterization." BMC Genomics 10, no. 1 (2009): 347. http://dx.doi.org/10.1186/1471-2164-10-347.

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LAUN, P., L. RAMACHANDRAN, S. JAROLIM, E. HERKER, P. LIANG, J. WANG, M. WEINBERGER, D. BURHANS, B. SUTER, and F. MADEO. "A comparison of the aging and apoptotic transcriptome of." FEMS Yeast Research 5, no. 12 (December 2005): 1261–72. http://dx.doi.org/10.1016/j.femsyr.2005.07.006.

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Beisser, Daniela, Nadine Graupner, Christina Bock, Sabina Wodniok, Lars Grossmann, Matthijs Vos, Bernd Sures, Sven Rahmann, and Jens Boenigk. "Comprehensive transcriptome analysis provides new insights into nutritional strategies and phylogenetic relationships of chrysophytes." PeerJ 5 (January 10, 2017): e2832. http://dx.doi.org/10.7717/peerj.2832.

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BackgroundChrysophytes are protist model species in ecology and ecophysiology and important grazers of bacteria-sized microorganisms and primary producers. However, they have not yet been investigated in detail at the molecular level, and no genomic and only little transcriptomic information is available. Chrysophytes exhibit different trophic modes: while phototrophic chrysophytes perform only photosynthesis, mixotrophs can gain carbon from bacterial food as well as from photosynthesis, and heterotrophs solely feed on bacteria-sized microorganisms. Recent phylogenies and megasystematics demonstrate an immense complexity of eukaryotic diversity with numerous transitions between phototrophic and heterotrophic organisms. The question we aim to answer is how the diverse nutritional strategies, accompanied or brought about by a reduction of the plasmid and size reduction in heterotrophic strains, affect physiology and molecular processes.ResultsWe sequenced the mRNA of 18 chrysophyte strains on the Illumina HiSeq platform and analysed the transcriptomes to determine relations between the trophic mode (mixotrophic vs. heterotrophic) and gene expression. We observed an enrichment of genes for photosynthesis, porphyrin and chlorophyll metabolism for phototrophic and mixotrophic strains that can perform photosynthesis. Genes involved in nutrient absorption, environmental information processing and various transporters (e.g., monosaccharide, peptide, lipid transporters) were present or highly expressed only in heterotrophic strains that have to sense, digest and absorb bacterial food. We furthermore present a transcriptome-based alignment-free phylogeny construction approach using transcripts assembled from short reads to determine the evolutionary relationships between the strains and the possible influence of nutritional strategies on the reconstructed phylogeny. We discuss the resulting phylogenies in comparison to those from established approaches based on ribosomal RNA and orthologous genes. Finally, we make functionally annotated reference transcriptomes of each strain available to the community, significantly enhancing publicly available data on Chrysophyceae.ConclusionsOur study is the first comprehensive transcriptomic characterisation of a diverse set of Chrysophyceaen strains. In addition, we showcase the possibility of inferring phylogenies from assembled transcriptomes using an alignment-free approach. The raw and functionally annotated data we provide will prove beneficial for further examination of the diversity within this taxon. Our molecular characterisation of different trophic modes presents a first such example.

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Alamri, Ahmad M., Keunsoo Kang, Svenja Groeneveld, Weisheng Wang, Xiaogang Zhong, Bhaskar Kallakury, Lothar Hennighausen, Xuefeng Liu, and Priscilla A. Furth. "Primary cancer cell culture: mammary-optimized vs conditional reprogramming." Endocrine-Related Cancer 23, no. 7 (July 2016): 535–54. http://dx.doi.org/10.1530/erc-16-0071.

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The impact of different culture conditions on biology of primary cancer cells is not always addressed. Here, conditional reprogramming (CRC) was compared with mammary-optimized EpiCult-B (EpiC) for primary mammary epithelial cell isolation and propagation, allograft generation, and genome-wide transcriptional consequences using cancer and non-cancer mammary tissue from mice with different dosages of Brca1 and p53. Selective comparison to DMEM was included. Primary cultures were established with all three media, but CRC was most efficient for initial isolation (P<0.05). Allograft development was faster using cells grown in EpiC compared with CRC (P<0.05). Transcriptome comparison of paired CRC and EpiC cultures revealed 1700 differentially expressed genes by passage 20. CRC promoted Trp53 gene family upregulation and increased expression of epithelial differentiation genes, whereas EpiC elevated expression of epithelial–mesenchymal transition genes. Differences did not persist in allografts where both methods yielded allografts with relatively similar transcriptomes. Restricting passage (<7) reduced numbers of differentially expressed genes below 50. In conclusion, CRC was most efficient for initial cell isolation but EpiC was quicker for allograft generation. The extensive culture-specific gene expression patterns that emerged with longer passage could be limited by reducing passage number when both culture transcriptomes were equally similar to that of the primary tissue. Defining impact of culture condition and passage on the transcriptome of primary cells could assist experimental design and interpretation. For example, differences that appear with passage and culture condition are potentially exploitable for comparative studies targeting specific biological networks in different transcriptional environments.

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Kim, Tae Kyoo, Sangjoon Lee, and Heh-In Im. "Quantitative Sequencing Analysis of the Striatal Transcriptome in a Mouse Model of Alzheimer Disease." International Neurourology Journal 26, Suppl 2 (November 30, 2022): S117–125. http://dx.doi.org/10.5213/inj.2244256.128.

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Purpose: The purpose of this study was to analyze the transcriptomic changes in the striatum of amyloid precursor protein/presenilin 1 (APP/PS1) transgenic mice and uncover its association with the methyl-CpG binding protein 2 (MeCP2) mediated-changes in striatal epigenetic signature during Alzheimer disease (AD) pathological progression.Methods: To observe transcriptomic alterations in the striatum before the onset of cognitive impairment in APP/PS1 mice, quantitative 3’mRNA sequencing was performed with RNA extracted from the striatum of 6-month-old and 12-month-old wildtype and APP/PS1 mice. In addition, chromatin immunoprecipitation sequencing was conducted with the DNA from wildtype and APP/PS1 mice of the same age as aforementioned. For transcriptomic analysis, comparison terms were constructed based on aging and transgene expression—normal-aging (12-month-old wildtype/6-month-old wildtype), early-AD (6-month-old APP/PS1/6-month-old wildtype), and late-AD (12-month-old APP/PS1/6-month-old wildtype). To compare the changes in biological pathways and networks, we analyzed gene lists from each comparison term via bioinformatics tools including DAVID (Database for Annotation, Visualization, and Integrated Discovery), STRING (Search Tool for the Retrieval of Interacting Genes/Proteins), and SynGO (Synaptic Gene Ontologies). Furthermore, to assume the effect MeCP2 in AD pathological conditions may have on the transcriptome regulation, analysis of the common genes from Quant-Seq and MeCP2-ChIP-Seq was performed.Results: Enriched pathways including immune system and inflammatory response were confirmed in normal- aging and lateAD, respectively. In particular, enriched pathways of gene expression regulation, transcriptional regulation, and protein catabolic pathways were found to be significantly altered in early-AD. MeCP2-bound genes that were significantly altered in the transcriptome were suggested to be target genes that have a role in the striatum of the early-stage AD model.Conclusions: This study confirmed that the alteration of the striatal transcriptomic profile in APP/PS1 mice was involved with several biological pathways. Additionally, comparative analysis of the transcriptomic changes and the MeCP2 bound regions found that a group of differentially expressed genes may be regulated under the epigenetic control of MeCP2.

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Zheng, Yi, and Fangqing Zhao. "Visualization of circular RNAs and their internal splicing events from transcriptomic data." Bioinformatics 36, no. 9 (January 17, 2020): 2934–35. http://dx.doi.org/10.1093/bioinformatics/btaa033.

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Abstract Summary Circular RNAs (circRNAs) are proved to have unique compositions and splicing events distinct from canonical mRNAs. However, there is no visualization tool designed for the exploration of complex splicing patterns in circRNA transcriptomes. Here, we present CIRI-vis, a Java command-line tool for quantifying and visualizing circRNAs by integrating the alignments and junctions of circular transcripts. CIRI-vis can be applied to visualize the internal structure and isoform abundance of circRNAs and perform circRNA transcriptome comparison across multiple samples. Availability and implementation https://sourceforge.net/projects/ciri/files/CIRI-vis. Supplementary information Supplementary data are available at Bioinformatics online.

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Arakelyan, Arsen, Lilit Nersisyan, Maria Nikoghosyan, Siras Hakobyan, Arman Simonyan, Lydia Hopp, Henry Loeffler-Wirth, and Hans Binder. "Transcriptome-Guided Drug Repositioning." Pharmaceutics 11, no. 12 (December 12, 2019): 677. http://dx.doi.org/10.3390/pharmaceutics11120677.

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Drug repositioning can save considerable time and resources and significantly speed up the drug development process. The increasing availability of drug action and disease-associated transcriptome data makes it an attractive source for repositioning studies. Here, we have developed a transcriptome-guided approach for drug/biologics repositioning based on multi-layer self-organizing maps (ml-SOM). It allows for analyzing multiple transcriptome datasets by segmenting them into layers of drug action- and disease-associated transcriptome data. A comparison of expression changes in clusters of functionally related genes across the layers identifies “drug target” spots in disease layers and evaluates the repositioning possibility of a drug. The repositioning potential for two approved biologics drugs (infliximab and brodalumab) confirmed the drugs’ action for approved diseases (ulcerative colitis and Crohn’s disease for infliximab and psoriasis for brodalumab). We showed the potential efficacy of infliximab for the treatment of sarcoidosis, but not chronic obstructive pulmonary disease (COPD). Brodalumab failed to affect dysregulated functional gene clusters in Crohn’s disease (CD) and systemic juvenile idiopathic arthritis (SJIA), clearly indicating that it may not be effective in the treatment of these diseases. In conclusion, ml-SOM offers a novel approach for transcriptome-guided drug repositioning that could be particularly useful for biologics drugs.

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McGettigan, P. A., J. A. Browne, S. D. Carrington, M. A. Crowe, T. Fair, N. Forde, B. J. Loftus, et al. "Fertility and genomics: comparison of gene expression in contrasting reproductive tissues of female cattle." Reproduction, Fertility and Development 28, no. 2 (2016): 11. http://dx.doi.org/10.1071/rd15354.

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To compare gene expression among bovine tissues, large bovine RNA-seq datasets were used, comprising 280 samples from 10 different bovine tissues (uterine endometrium, granulosa cells, theca cells, cervix, embryos, leucocytes, liver, hypothalamus, pituitary, muscle) and generating 260 Gbases of data. Twin approaches were used: an information–theoretic analysis of the existing annotated transcriptome to identify the most tissue-specific genes and a de-novo transcriptome annotation to evaluate general features of the transcription landscape. Expression was detected for 97% of the Ensembl transcriptome with at least one read in one sample and between 28% and 66% at a level of 10 tags per million (TPM) or greater in individual tissues. Over 95% of genes exhibited some level of tissue-specific gene expression. This was mostly due to different levels of expression in different tissues rather than exclusive expression in a single tissue. Less than 1% of annotated genes exhibited a highly restricted tissue-specific expression profile and approximately 2% exhibited classic housekeeping profiles. In conclusion, it is the combined effects of the variable expression of large numbers of genes (73%–93% of the genome) and the specific expression of a small number of genes (<1% of the transcriptome) that contribute to determining the outcome of the function of individual tissues.

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Nührenberg, Thomas G., Jasmin Stöckle, Federico Marini, Mark Zurek, Björn A. Grüning, Vladimir Benes, Lutz Hein, et al. "Impact of high platelet turnover on the platelet transcriptome: Results from platelet RNA-sequencing in patients with sepsis." PLOS ONE 17, no. 1 (January 27, 2022): e0260222. http://dx.doi.org/10.1371/journal.pone.0260222.

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Background Sepsis is associated with high platelet turnover and elevated levels of immature platelets. Changes in the platelet transcriptome and the specific impact of immature platelets on the platelet transcriptome remain unclear. Thus, this study sought to address whether and how elevated levels of immature platelets affect the platelet transcriptome in patients with sepsis. Methods Blood samples were obtained from patients with sepsis requiring vasopressor therapy (n = 8) and from a control group of patients with stable coronary artery disease and otherwise similar demographic characteristics (n = 8). Immature platelet fraction (IPF) was determined on a Sysmex XE 2100 analyser and platelet function was tested by impedance aggregometry. RNA from leukocyte-depleted platelets was used for transcriptome analysis by Next Generation Sequencing integrating the use of unique molecular identifiers. Results IPF (median [interquartile range]) was significantly elevated in sepsis patients (6.4 [5.3–8.7] % vs. 3.6 [2.6–4.6] %, p = 0.005). Platelet function testing revealed no differences in adenosine diphosphate- or thrombin receptor activating peptide-induced platelet aggregation between control and sepsis patients. Putative circular RNA transcripts were decreased in platelets from septic patients. Leukocyte contamination defined by CD45 abundance levels in RNA-sequencing was absent in both groups. Principal component analysis of transcripts showed only partial overlap of clustering with IPF levels. RNA sequencing showed up-regulation of 524 and down-regulation of 118 genes in platelets from sepsis patients compared to controls. Upregulated genes were mostly related to catabolic processes and protein translation. Comparison to published platelet transcriptomes showed a large overlap of changes observed in sepsis and COVID-19 but not with reticulated platelets from healthy donors. Conclusions Patients with sepsis appear to have a less degraded platelet transcriptome as indicated by increased levels of immature platelets and decreased levels of putative circular RNA transcripts. The present data suggests that increased protein translation is a characteristic mechanism of systemic inflammation.

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Huang, Xiaohua, Zhongshi Huang, Zhongheng Wei, Yun Feng, Xuebin Li, Anding Xu, and Chongdong Jian. "Transcriptome Comparison of Brain and Kidney Endothelial Cells in Homeostasis." BioMed Research International 2022 (January 28, 2022): 1–10. http://dx.doi.org/10.1155/2022/5239255.

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Endothelial cells are heterogeneous, stemming from multiple organs, but there is still little known about the connection between the brain and kidney endothelial cells, especially in homeostasis. In this study, scRNA-seq results were obtained to compare genetic profiles and biological features of tissue-specific endothelial cells. On this basis, seven endothelial cell subpopulations were identified, two of which were upregulated genes in pathways related to stroke and/or depression, as characterized by neuroinflammation. This study revealed the similarities and distinctions between brain and kidney endothelial cells, providing baseline information needed to fully understand the relationship between renal diseases and neuroinflammation, such as stroke and depression.

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Liu, Yanan, Baoju Wang, Lu Wang, Vikash Vikash, Qin Wang, Michael Roggendorf, Mengji Lu, Dongliang Yang, and Jia Liu. "Transcriptome Analysis and Comparison of Marmota monax and Marmota himalayana." PLOS ONE 11, no. 11 (November 2, 2016): e0165875. http://dx.doi.org/10.1371/journal.pone.0165875.

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Brophy, R. H., B. Zhang, L. Cai, R. W. Wright, L. J. Sandell, and M. F. Rai. "Transcriptome comparison of meniscus from patients with and without osteoarthritis." Osteoarthritis and Cartilage 26, no. 3 (March 2018): 422–32. http://dx.doi.org/10.1016/j.joca.2017.12.004.

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Na, Hye-Won, Kyu Han Kim, Changjo Jung, Tae Ryong Lee, and Hyoung-June Kim. "Transcriptome comparison of air pollutants-induced effects on human keratinocytes." Toxicology Letters 280 (October 2017): S159. http://dx.doi.org/10.1016/j.toxlet.2017.07.446.

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Chen, Xuan, Yang Hu, Huoqing Zheng, Lianfei Cao, Defang Niu, Dongliang Yu, Yongqiao Sun, Songnian Hu, and Fuliang Hu. "Transcriptome comparison between honey bee queen- and worker-destined larvae." Insect Biochemistry and Molecular Biology 42, no. 9 (September 2012): 665–73. http://dx.doi.org/10.1016/j.ibmb.2012.05.004.

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Liu, Sian, Hanyue Zhang, and Yingdan Yuan. "A Comparison of the Flavonoid Biosynthesis Mechanisms of Dendrobium Species by Analyzing the Transcriptome and Metabolome." International Journal of Molecular Sciences 23, no. 19 (October 9, 2022): 11980. http://dx.doi.org/10.3390/ijms231911980.

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Dendrobium huoshanense, Dendrobium officinale, and Dendrobium moniliforme, as precious Chinese medicinal materials, have a variety of medicinal properties. Flavonoids are important medicinal components of Dendrobium, but their accumulation rules and biosynthesis mechanisms remain unclear. To explore the similarities and differences of flavonoid accumulation and biosynthesis in these three Dendrobium species, we performed flavonoid content determination, widely-targeted metabolomics and transcriptome sequencing on 1–4 years old Dendrobium species. The results showed that in different growth years, D. huoshanense stems had the highest flavonoid content in the second year of growth, while D. officinale and D. moniliforme stems had the highest flavonoid content in the third year of growth. A total of 644 differentially accumulated metabolites (DAMs) and 10,426 differentially expressed genes (DEGs) were identified by metabolomic and transcriptomic analysis. It was found that DAMs and DEGs were not only enriched in the general pathway of “flavonoid biosynthesis”, but also in multiple sub-pathways such as “Flavone biosynthesis”, and “Flavonol biosynthesis” and “Isoflavonoid biosynthesis”. According to a combined transcriptome and metabolome analysis, the expression levels of the F3′H gene (LOC110096779) and two F3′5′H genes (LOC110101765 and LOC110103762) may be the main genes responsible for the differences in flavonoid accumulation. As a result of this study, we have not only determined the optimal harvesting period for three Dendrobium plants, but also identified the key genes involved in flavonoid biosynthesis and provided a basis for further study of the molecular mechanism of flavonoid synthesis.

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Ambrosino, Luca, and Maria Luisa Chiusano. "Transcriptologs: A Transcriptome-Based Approach to Predict Orthology Relationships." Bioinformatics and Biology Insights 11 (January 1, 2017): 117793221769013. http://dx.doi.org/10.1177/1177932217690136.

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The detection of orthologs is a key approach in genomics, useful to understand gene evolution and phylogenetic relationships and essential for gene function prediction. However, a reliable annotation of the encoded protein regions is still a limiting aspect in genomics, mainly due to the lack of confirmatory experimental evidence at proteome level. Nevertheless, the current ortholog collections are generally based on protein sequence comparisons, in addition to the availability of large transcriptome sequence collections. We developed Transcriptologs, a method for the prediction of orthologs based on similarities of translated fragments from messenger RNAs of 2 species. We implemented a procedure to extend BLAST-based alignments and to define orthologs based on the Bidirectional Best Hit approach. Results from a test case on Arabidopsis thaliana and Sorghum bicolor transcript collections revealed in some cases outperformance of Transcriptologs in comparison with a classical protein-based analysis in terms of alignment quality, revealing similarities otherwise not detectable.

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Master, Adam, Apostolos Kontzias, Liqun Huang, Wei Huang, Anna Tsioulias, Samaneh Zarabi, Michael Wolek, Brian M. Wollocko, Robert Honkanen, and Basil Rigas. "The transcriptome of rabbit conjunctiva in dry eye disease: Large-scale changes and similarity to the human dry eye." PLOS ONE 16, no. 7 (July 29, 2021): e0254036. http://dx.doi.org/10.1371/journal.pone.0254036.

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The pathophysiology of dry eye disease (DED) remains largely unknown, accounting in part for the lack of successful treatments. We explored the pathophysiology of DED using a rabbit model of chronic DED induced with 3 weekly injections of Concanavalin A into the periorbital lacrimal glands. The transcriptome of full-thickness’s conjunctival tissue from rabbits with DED and from normal controls was determined using microarrays and, as needed, confirmatory real-time polymerase chain reactions. Results were subjected to bioinformatic analysis. DED induced large-scale changes in gene transcription involving 5,184 genes (22% of the total). Differentially expressed genes could be segregated into: functional modules and clusters; altered pathways; functionally linked genes; and groups of individual genes of known or suspected pathophysiological relevance to DED. A common feature of these subgroups is the breadth and magnitude of the changes that encompass ocular immunology and essentially all aspects of cell biology. Prominent changes concerned innate and adaptive immune responses; ocular surface inflammation; at least 25 significantly altered signaling pathways; a large number of chemokines; cell cycle; and apoptosis. Comparison of our findings to the limited extant transcriptomic data from DED patients associated with either Sjogren’s syndrome or non-Sjogren’s etiologies revealed a significant correlation between human and rabbit DED transcriptomes. Our data, establishing the large-scale transcriptomic changes of DED and their potential similarity to the human, underscore the enormous complexity of DED; establish a robust animal model of DED; will help expand our understanding of its pathophysiology; and could guide the development of successful therapeutic strategies.

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Šķipars, Vilnis, and Dainis Ruņģis. "Transcript Dynamics in Wounded and Inoculated Scots Pine." International Journal of Molecular Sciences 22, no. 4 (February 3, 2021): 1505. http://dx.doi.org/10.3390/ijms22041505.

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Comparative transcriptome analysis provides a useful tool for the exploration of plant–pathogen interaction by allowing in-depth comparison of gene expression between unaffected, inoculated and wounded organisms. Here we present the results of comparative transcriptome analysis in genetically identical one-year-old Scots pine ramets after wounding and inoculation with Heterobasidion annosum. We identified 230 genes that were more than 2-fold upregulated in inoculated samples (compared to controls) and 116 downregulated genes. Comparison of inoculated samp les with wounded samples identified 32 differentially expressed genes (30 were upregulated after inoculation). Several of the genes upregulated after inoculation are involved in protection from oxidative stress, while genes involved in photosynthesis, water transport and drought stress tolerance were downregulated. An NRT3 family protein was the most upregulated transcript in response to both inoculation and wounding, while a U-box domain-containing protein gene was the most upregulated gene comparing inoculation to wounding. The observed transcriptome dynamics suggest involvement of auxin, ethylene, jasmonate, gibberellin and reactive oxygen species pathways and cell wall modification regulation in response to H. annosum infection. The results are compared to methyl jasmonate induced transcriptome dynamics.

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Huang, Lan, Yaodong Hu, Qixin Guo, Guobin Chang, and Hao Bai. "Time-Course Transcriptome Landscape of Bursa of Fabricius Development and Degeneration in Chickens." Agriculture 12, no. 8 (August 10, 2022): 1194. http://dx.doi.org/10.3390/agriculture12081194.

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The bursa of Fabricius (BF) is a target organ for various pathogenic microorganisms; however, the genes that regulate BF development and decline have not been fully characterized. Therefore, in this study, histological sections of the BF were obtained from black-boned chickens at 7 (N7), 42 (N42), 90 (N90) and 120 days (N120) of age, and the differential expression and expression trends of the BF at different stages were analyzed by transcriptome analysis. The results showed that the growth of the BF progressively matured with age, followed by gradual shrinkage and disappearance. Transcriptome differential analysis revealed 5914, 5513, 4575, 577, 530 and 66 differentially expressed genes (DEG) in six different comparison groups: N7 vs. N42, N7 vs. N90, N7 vs. N120, N42 vs. N90, N42 vs. N120 and N90 vs. N120, respectively. Moreover, we performed transcriptomic analysis of the time series of BF development and identified the corresponding stages of biological process enrichment. Finally, quantitative real-time polymerase chain reaction (qRT-PCR) was used to validate the expression of the 16 DEGs during bursal growth and development. These results were consistent with the transcriptome results, indicating that they reflect the expression of the BF during growth and development and that these genes reflect the characteristics of the BF at different times of development and decline. These findings reflect the characteristics of the BF at different time intervals.

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Zhang, Yin, Khor Waiho, Mhd Ikhwanuddin, and Hongyu Ma. "Identification of Sex-Related Genes from the Three-Spot Swimming Crab Portunus sanguinolentus and Comparative Analysis with the Crucifix Crab Charybdis feriatus." Animals 11, no. 7 (June 29, 2021): 1946. http://dx.doi.org/10.3390/ani11071946.

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Crabs within the family Portunidae are important marine species in both aquaculture and fishery sectors. The current aquaculture status of most portunids, however, still relies on wild-caught fisheries due to the lack of essential knowledge regarding their reproductive biology and underlying governing mechanism. With the advancement of sequencing technology, transcriptome sequencing has been progressively used to understand various physiological processes, especially on non-model organisms. In the present study, we compared the differentially expressed genes (DEGs) between sexes of Portunus sanguinolentus based on their gonadal transcriptome profiles and subsequently contrasted them with the gonadal DEGs of Charybdis feriatus, the other member of Family Portunidae. In total, 40,964 DEGs between ovaries and testes were uncovered, with 27,578 up- and 13,386 down-regulated in females. Among those, some sex-related DEGs were identified, including a dmrt-like (DMRT) gene which was specifically expressed in males. C. feriatus has approximately 63.5% of genes common with P. sanguinolentus, with 62.6% showing similar expression patterns. Interestingly, the DMRT gene was specifically expressed in male P. sanguinolentus while its homologous gene—doublesex (DSX)—was specifically expressed in male C. feriatus. The DEGs obtained from the gonadal transcriptome of P. sanguinolentus are a beneficial resource for future genetic and genomic research in P. sanguinolentus and its close species. The transcriptomic comparison analysis might provide references for better understanding the sex determination and differentiation mechanisms among portunids.

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Takami, Hirokazu, Asmaa Elzawahry, Yasin Mamatjan, Mamoru Kato, Natsuko Hama, Tatsuhiro Shibata, Yoichi Nakazato, Ryo Nishikawa, Masao Matsutani, and Koichi Ichimura. "GCT-09. Transcriptome and methylome profiles of CNS germ cell tumors and their comparison with testicular counterpart." Neuro-Oncology 24, Supplement_1 (June 1, 2022): i56. http://dx.doi.org/10.1093/neuonc/noac079.203.

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Abstract BACKGROUND: The pathophysiology of CNS germ cell tumors (GCTs) has yet to be fully unraveled, resulting in the paucity of treatment options. The biological comparison with its testicular counterpart has not been interrogated. METHODS: In total, 84 cases of CNS GCT were investigated for methylation and transcriptome analyses, and an integrative analysis of the normal cells undergoing embryogenesis and testicular GCTs was conducted. RESULTS: Transcriptome analysis revealed germinoma and non-germinomatous GCTs (NGGCTs) were clearly separated. On transcriptome, germinoma was characterized by primitive cell state, closely related to primordial germ cell (PGC) with meiosis/mitosis potentials. NGGCT had a feature of more differentiated cell state directed toward organogenesis. Germinoma was subdivided into two clusters on integrated transcriptome and methylation analysis, and they are different in the age distribution and tumor cell content. CNS and testicular GCTs were divided based on histology, either germinoma/seminoma or NGGCT/non-seminomatous GCTs on methylation. Expression analysis mainly clustered them depending on the site of origin and histology. CONCLUSIONS: Expression profiles of CNS GCTs distinctly reflect the histological variabilities. Germinoma may be clustered into two groups, with possible differentiation in treatment intensity in the future. GCTs at CNS and gonads seem to have a mutual cell-of-origin and similar genomic backgrounds, which potentiates site-agnostic treatment development.

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Hou, Chen, Richard M. K. Saunders, Nan Deng, Tao Wan, and Yingjuan Su. "Pollination Drop Proteome and Reproductive Organ Transcriptome Comparison in Gnetum Reveals Entomophilous Adaptation." Genes 10, no. 10 (October 12, 2019): 800. http://dx.doi.org/10.3390/genes10100800.

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Gnetum possesses morphologically bisexual but functionally unisexual reproductive structures that exude sugary pollination drops to attract insects. Previous studies have revealed that the arborescent species (G. gnemon L.) and the lianoid species (G. luofuense C.Y.Cheng) possess different pollination syndromes. This study compared the proteome in the pollination drops of these two species using label-free quantitative techniques. The transcriptomes of fertile reproductive units (FRUs) and sterile reproductive units (SRUs) for each species were furthermore compared using Illumina Hiseq sequencing, and integrated proteomic and transcriptomic analyses were subsequently performed. Our results show that the differentially expressed proteins between FRUs and SRUs were involved in carbohydrate metabolism, the biosynthesis of amino acids and ovule defense. In addition, the differentially expressed genes between the FRUs and SRUs (e.g., MADS-box genes) were engaged in reproductive development and the formation of pollination drops. The integrated protein-transcript analyses revealed that FRUs and their exudates were relatively conservative while the SRUs and their exudates were more diverse, probably functioning as pollinator attractants. The evolution of reproductive organs appears to be synchronized with changes in the pollination drop proteome of Gnetum, suggesting that insect-pollinated adaptations are not restricted to angiosperms but also occur in gymnosperms.

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Belenchia, Anthony M., Madhavi P. Gavini, Ryan G. Toedebusch, Vincent G. DeMarco, and Lakshmi Pulakat. "Comparison of Cardiac miRNA Transcriptomes Induced by Diabetes and Rapamycin Treatment and Identification of a Rapamycin-Associated Cardiac MicroRNA Signature." Oxidative Medicine and Cellular Longevity 2018 (December 17, 2018): 1–18. http://dx.doi.org/10.1155/2018/8364608.

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Rapamycin (Rap), an inhibitor of mTORC1, reduces obesity and improves lifespan in mice. However, hyperglycemia and lipid disorders are adverse side effects in patients receiving Rap treatment. We previously reported that diabetes induces pansuppression of cardiac cytokines in Zucker obese rats (ZO-C). Rap treatment (750 μg/kg/day for 12 weeks) reduced their obesity and cardiac fibrosis significantly; however, it increased their hyperglycemia and did not improve their cardiac diastolic parameters. Moreover, Rap treatment of healthy Zucker lean rats (ZL-C) induced cardiac fibrosis. Rap-induced changes in ZL-C’s cardiac cytokine profile shared similarities with that of diabetes-induced ZO-C. Therefore, we hypothesized that the cardiac microRNA transcriptome induced by diabetes and Rap treatment could share similarities. Here, we compared the cardiac miRNA transcriptome of ZL-C to ZO-C, Rap-treated ZL (ZL-Rap), and ZO (ZO-Rap). We report that 80% of diabetes-induced miRNA transcriptome (40 differentially expressed miRNAs by minimum 1.5-fold in ZO-C versus ZL-C; p≤0.05) is similar to 47% of Rap-induced miRNA transcriptome in ZL (68 differentially expressed miRNAs by minimum 1.5-fold in ZL-Rap versus ZL-C; p≤0.05). This remarkable similarity between diabetes-induced and Rap-induced cardiac microRNA transcriptome underscores the role of miRNAs in Rap-induced insulin resistance. We also show that Rap treatment altered the expression of the same 17 miRNAs in ZL and ZO hearts indicating that these 17 miRNAs comprise a unique Rap-induced cardiac miRNA signature. Interestingly, only four miRNAs were significantly differentially expressed between ZO-C and ZO-Rap, indicating that, unlike the nondiabetic heart, Rap did not substantially change the miRNA transcriptome in the diabetic heart. In silico analyses showed that (a) mRNA-miRNA interactions exist between differentially expressed cardiac cytokines and miRNAs, (b) human orthologs of rat miRNAs that are strongly correlated with cardiac fibrosis may modulate profibrotic TGF-β signaling, and (c) changes in miRNA transcriptome caused by diabetes or Rap treatment include cardioprotective miRNAs indicating a concurrent activation of an adaptive mechanism to protect the heart in conditions that exacerbate diabetes.

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Alloisio, Nicole, Clothilde Queiroux, Pascale Fournier, Petar Pujic, Philippe Normand, David Vallenet, Claudine Médigue, Masatoshi Yamaura, Kentaro Kakoi, and Ken-ichi Kucho. "The Frankia alni Symbiotic Transcriptome." Molecular Plant-Microbe Interactions® 23, no. 5 (May 2010): 593–607. http://dx.doi.org/10.1094/mpmi-23-5-0593.

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The actinobacteria Frankia spp. are able to induce the formation of nodules on the roots of a large spectrum of actinorhizal plants, where they convert dinitrogen to ammonia in exchange for plant photosynthates. In the present study, transcriptional analyses were performed on nitrogen-replete free-living Frankia alni cells and on Alnus glutinosa nodule bacteria, using whole-genome microarrays. Distribution of nodule-induced genes on the genome was found to be mostly over regions with high synteny between three Frankia spp. genomes, while nodule-repressed genes, which were mostly hypothetical and not conserved, were spread around the genome. Genes known to be related to nitrogen fixation were highly induced, nif (nitrogenase), hup2 (hydrogenase uptake), suf (sulfur-iron cluster), and shc (hopanoids synthesis). The expression of genes involved in ammonium assimilation and transport was strongly modified, suggesting that bacteria ammonium assimilation was limited. Genes involved in particular in transcriptional regulation, signaling processes, protein drug export, protein secretion, lipopolysaccharide, and peptidoglycan biosynthesis that may play a role in symbiosis were also identified. We also showed that this Frankia symbiotic transcriptome was highly similar among phylogenetically distant plant families Betulaceae and Myricaceae. Finally, comparison with rhizobia transcriptome suggested that F. alni is metabolically more active in symbiosis than rhizobia.

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Yang, Yong, Chunfang Zheng, Cairong Zhong, Tianxi Lu, Juma Gul, Xiang Jin, Ying Zhang, and Qiang Liu. "Transcriptome analysis of Sonneratia caseolaris seedlings under chilling stress." PeerJ 9 (June 3, 2021): e11506. http://dx.doi.org/10.7717/peerj.11506.

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Sonneratia caseolaris is a native mangrove species found in China. It is fast growing and highly adaptable for mangrove afforestation, but suffered great damage by chilling event once introduced to high latitude area. To understand the response mechanisms under chilling stress, physiological and transcriptomic analyses were conducted. The relative electrolyte conductivity, malondialdehyde (MDA) content, soluble sugar content and soluble protein content increased significantly under chilling stress. This indicated that S. caseolaris suffered great damage and increased the levels of osmoprotectants in response to the chilling stress. Gene expression comparison analysis of S. caseolaris leaves after 6 h of chilling stress was performed at the transcriptional scale using RNA-Seq. A total of 168,473 unigenes and 3,706 differentially expressed genes (DEGs) were identified. GO and KEGG enrichment analyses showed that the DEGs were mainly involved in carbohydrate metabolism, antioxidant enzyme, plant hormone signal transduction, and transcription factors (TFs). Sixteen genes associated with carbohydrate metabolism, antioxidant enzyme, phytohormones and TFs were selected for qRT-PCR verification, and they indicated that the transcriptome data were reliable. Our work provided a comprehensive review of the chilling response of S. caseolaris at both physiological and transcriptomic levels, which will prove useful for further studies on stress-responses in mangrove plants.

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WU, M., S. FU, W. JIN, W. Z. XIANG, W. C. ZHANG, and L. CHEN. "Transcriptome comparison of physiological divergence between two ecotypes of Portulaca oleracea." Biologia plantarum 65 (July 29, 2021): 212–20. http://dx.doi.org/10.32615/bp.2021.012.

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Singleton, Sarah A., Gessica Franco-Johannsen, Gabriela Dalmaso, M. Sofia Ortega, and Ky G. Pohler. "27 Transcriptome Comparison of Parthenogenetic vs. Biparental Embryos in Beef Cattle." Journal of Animal Science 100, Supplement_1 (March 8, 2022): 9. http://dx.doi.org/10.1093/jas/skac028.016.

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Abstract This experiment aimed to determine differences in circulating pregnancy-associated glycoprotein (PAG) concentrations, differentially expressed genes (DEGs), and comparative gene ontology profiles between parthenogenetic embryos (PA; absence of paternal genetics) and biparental control embryos (CON). PA embryos were produced in vitro using a validated chemical activation method, and CON embryos were produced in vitro using industry standard techniques. A blood sample was collected on day 31, and PAG concentrations were determined by an in-house ELISA. Transrectal ultrasonography was performed daily to monitor conceptus development. Cows (n = 30) were synchronized, underwent embryo transfer [ET; 7 days after onset of estrus (day 0)] and were euthanized at approximately day 31 of gestation. Tissues from endometrium (EM), trophectoderm (TE), and corpus luteum (CL) were collected and sequenced from both groups (3 PA; 3 CON). Average PAG concentrations between PA and CON on day 31 were 0.81±0.44 ng/mL and 5.23±0.44 ng/mL (P = 0.01), respectively. When comparing PA to CON, there were 969 DEG in the EM (599 genes upregulated; 269 genes downregulated; 101 nonannotated genes) and 250 DEG in the TE (163 genes upregulated; 47 downregulated; 40 nonannotated genes). Comparative gene ontology profiles between DEGs showed an upregulation in immune system-associated activities and extracellular matrix interactions and a downregulation in redox reactions and proteolytic activities involving PAGs for PA as compared to CON. Similarly, the TE comparisons showed an upregulation in prolactin (PRL) inhibiting pathways and a downregulation in structural molecule activity and signaling for PA as compared to CON. The DEGs observed in PAs show significant decreases in conceptus-derived products and gene ontology profiles associated with pregnancy. Overall, these findings demonstrate that uniparental embryos can be a useful model to better understand pregnancy development and loss in cattle.

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Gulick, Patrick J., Simon Drouin, Zhihua Yu, Jean Danyluk, Guylaine Poisson, Antonio F. Monroy, and Fathey Sarhan. "Transcriptome comparison of winter and spring wheat responding to low temperature." Genome 48, no. 5 (October 1, 2005): 913–23. http://dx.doi.org/10.1139/g05-039.

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Freezing tolerance in plants is a complex trait that occurs in many plant species during growth at low, nonfreezing temperatures, a process known as cold acclimation. This process is regulated by a multigenic system expressing broad variation in the degree of freezing tolerance among wheat cultivars. Microarray analysis is a powerful and rapid approach to gene discovery. In species such as wheat, for which large scale mutant screening and transgenic studies are not currently practical, genotype comparison by this methodology represents an essential approach to identifying key genes in the acquisition of freezing tolerance. A microarray was constructed with PCR amplified cDNA inserts from 1184 wheat expressed sequence tags (ESTs) that represent 947 genes. Gene expression during cold acclimation was compared in 2 cultivars with marked differences in freezing tolerance. Transcript levels of more than 300 genes were altered by cold. Among these, 65 genes were regulated differently between the 2 cultivars for at least 1 time point. These include genes that encode potential regulatory proteins and proteins that act in plant metabolism, including protein kinases, putative transcription factors, Ca2+ binding proteins, a Golgi localized protein, an inorganic pyrophosphatase, a cell wall associated hydrolase, and proteins involved in photosynthesis.Key words: wheat microarray, expression profile, plant transcription, cold-regulated genes, freezing tolerance, cold acclimation, winter hardiness, stress genes, gene regulation, wheat transcriptome.

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Mao, B., X. Xu, G. Sheng, W. Qian, and H. Q. Li. "Transcriptome comparison among patients, PDX, PDO, PDXO, PDXC and cell lines." European Journal of Cancer 138 (October 2020): S31. http://dx.doi.org/10.1016/s0959-8049(20)31151-5.

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Jeong, Jaesik, Robert Audet, Jenny Chang, Helen Wong, Scooter Willis, Brandon Young, Susan Edgerton, et al. "A comparison between DASL and Affymetrix on probing the whole-transcriptome." Journal of the Korean Statistical Society 45, no. 1 (March 2016): 149–55. http://dx.doi.org/10.1016/j.jkss.2015.09.001.

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Vinogradov, Alexander E., and Olga V. Anatskaya. "Cell‐cycle dependence of transcriptome gene modules: comparison of regression lines." FEBS Journal 287, no. 20 (March 5, 2020): 4427–39. http://dx.doi.org/10.1111/febs.15257.

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Bell, Achim H., Franco DeMonte, Shaan M. Raza, Laurence D. Rhines, Claudio E. Tatsui, Victor G. Prieto, Gregory N. Fuller, and Diana Bell. "Transcriptome comparison identifies potential biomarkers of spine and skull base chordomas." Virchows Archiv 472, no. 3 (August 27, 2017): 489–97. http://dx.doi.org/10.1007/s00428-017-2224-x.

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Journal articles on the topic 'Transcriptome comparison'

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