Relevant bibliographies by topics / Gene expression

Academic literature on the topic 'Gene expression'

Author: Grafiati
Published: 4 June 2021
Last updated: 22 June 2024

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Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Journal articles on the topic "Gene expression":

1

Ashwin, S. S., and Masaki Sasai. "2P132 Dynamics of transcriptional apparatus in eukaryotic gene expression(08. Molecular genetics & Gene expression,Poster)." Seibutsu Butsuri 53, supplement1-2 (2013): S180. http://dx.doi.org/10.2142/biophys.53.s180_6.

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Muthukalathi, Selvamani, Ravanan Ramanujam, and Anbupalam Thalamuthu. "Consensus Clustering for Microarray Gene Expression Data." Bonfring International Journal of Data Mining 4, no. 4 (November 15, 2014): 26–33. http://dx.doi.org/10.9756/bijdm.6140.

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Nesvadbová, M., and A. Knoll. "Evaluation of reference genes for gene expression studies in pig muscle tissue by real-time PCR." Czech Journal of Animal Science 56, No. 5 (May 30, 2011): 213–16. http://dx.doi.org/10.17221/1428-cjas.

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The selection of reference genes is essential for gene expression studies when using a real-time quantitative polymerase chain reaction (PCR). Reference gene selection should be performed for each experiment because the gene expression level may be changed in different experimental conditions. In this study, the stability of mRNA expression was determined for seven genes: HPRT1, RPS18, NACA, TBP, TAF4B, RPL32 and OAZ1. The stability of these reference genes was investigated in the skeletal muscle tissue of pig foetuses, piglets and adult pigs using real-time quantitative PCR and SYBR green chemistry. The expression of stability of the used reference genes was calculated using the geNorm application. Different gene expression profiles among the age categories of pigs were found out. RPS18 has been identified as the gene with the most stable expression in the muscle tissue of all pig age categories. HPRT1 and RPL32 were found to have the highest stability in piglets and adult pigs, and in foetuses and adults pigs, respectively. The newly used reference gene, TAF4B, reached the highest expression stability in piglets.
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Prima, V. I. "Proposals for the ISS: «Expression» Experiment Gene expression in plants in microgravity." Kosmìčna nauka ì tehnologìâ 6, no. 4 (July 30, 2000): 100. http://dx.doi.org/10.15407/knit2000.04.101.

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Liu, Junjie, Peng Li, Liuyang Lu, Lanfen Xie, Xiling Chen, and Baizhong Zhang. "Selection and evaluation of potential reference genes for gene expression analysis in Avena fatua Linn." Plant Protection Science 55, No. 1 (November 20, 2018): 61–71. http://dx.doi.org/10.17221/20/2018-pps.

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Eight commonly used candidate reference genes, 18S ribosomal RNA (rRNA) (18S), 28S rRNA (28S), actin (ACT), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), elongation factor 1 alpha (EF1α), ribosomal protein L7 (RPL7), Alpha-tubulin (α-TUB), and TATA box binding protein-associated factor (TBP), were evaluated under various experimental conditions to assess their suitability in different developmental stages, tissues and herbicide treatments in Avena fatua. The results indicated the most suitable reference genes for the different experimental conditions. For developmental stages, 28S and EF1α were the optimal reference genes, both EF1α and 28S were suitable for experiments of different tissues, whereas for herbicide treatments, GAPDH and ACT were suitable for normalizations of expression data. In addition, GAPDH and EF1α were the suitable reference genes.
6

Li, M., X. Wu, X. Guo, P. Bao, X. Ding, M. Chu, C. Liang, and P. Yan. "Identification of optimal reference genes for examination of gene expression in different tissues of fetal yaks." Czech Journal of Animal Science 62, No. 10 (September 11, 2017): 426–34. http://dx.doi.org/10.17221/75/2016-cjas.

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Reverse transcription quantitative real-time PCR (RT-qPCR) is widely used to study the relative abundance of mRNA transcripts because of its sensitivity and reliable quantification. However, the reliability of the interpretation of expression data is influenced by several complex factors, including RNA quality, transcription activity, and PCR efficiency, among others. To avoid experimental errors arising from potential variation, the selection of appropriate reference genes to normalize gene expression is essential. In this study, 10 commonly used reference genes – ACTB, B2M, HPRT1, GAPDH, 18SrRNA, 28SrRNA, PPIA, UBE2D2, SDHA, and TBP – were selected as candidate reference genes for six fetal tissues (heart, liver, spleen, lung, kidney, and forehead skin) of yak (Bos grunniens). The transcription stability of the candidate reference genes was evaluated using geNorm, NormFinder, and BestKeeper. The results showed that the combination of TBP and ACTB provided high-quality data for further study. In contrast, the commonly used reference genes 28SrRNA, SDHA, GAPDH, and B2M should not be used for endogenous controls because of their unstable expression in this study. The reference genes that could be used in future gene expression studies in yaks were indentified.
7

R, Dr Prema. "Feature Selection for Gene Expression Data Analysis – A Review." International Journal of Psychosocial Rehabilitation 24, no. 5 (May 25, 2020): 6955–64. http://dx.doi.org/10.37200/ijpr/v24i5/pr2020695.

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Antonín, Stratil, Horák Pavel, Nesvadbová Michaela, Poucke Mario Van, Dvořáková Věra, Stupka Roman, Čítek Jaroslav, Zadinová Kateřina, Peelman Luc J, and Knoll Aleš. "Genomic structure and expression of the porcine ACTC1 gene." Czech Journal of Animal Science 63, No. 9 (August 31, 2018): 371–78. http://dx.doi.org/10.17221/34/2018-cjas.

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A partial cDNA (~1200 bp) of the porcine ACTC1 gene was identified in the subtracted foetal hind limb muscle cDNA library (44 days of gestation; using m. biceps femoris cDNA as the driver). Using specific polymerase chain reaction (PCR) primers, a bacterial artificial chromosome (BAC) clone containing the genomic ACTC1 gene was identified and the gene was sequenced. Specific PCR primers designed from the BAC and cDNA sequences were used for amplification and comparative sequencing of ACTC1 of Pietrain and Meishan pigs. The gene is approximately 5.4 kb in length, is composed of 7 exons, and has a coding sequence containing 1134 bp. The gene was mapped using the INRA-Minnesota porcine radiation hybrid (IMpRH) panel to chromosome 1, with SW65 as the closest marker (41 cR; LOD = 7.73). Differences were observed in tissue-specific expression of ACTC1 that was studied by transcription profiling in 28 porcine tissues. Developmental differences in muscle and heart were analysed by real-time quantitative PCR (RT-qPCR). Two single nucleotide polymorphisms (SNPs) were found in intron 1. One adequately informative SNP (FM212567.1:g.901C>G) was genotyped by PCR-restriction fragment length polymorphism, and allele frequencies in eight pig breeds were calculated.
9

M, Aminafshar, Bahrampour V, Bagizadeh A, Emam Jomeh Kashan N, and Mohamad Abadi M.R. "Expression of CD44 Gene in Goat’s Oocytes and Embryos." Greener Journal of Biological Sciences 4, no. 5 (June 16, 2014): 139–45. http://dx.doi.org/10.15580/gjbs.2014.5.050614223.

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Mora-Avilés, M. A. "EXPRESIÓN DE GENES RELACIONADOS CON LA PATOGENICIDAD EN PLANTAS DE BRÓCOLI EXPRESANDO EL GEN ENDOQUITINASA DE Trichoderma harzianum." Revista Chapingo Serie Horticultura X, no. 2 (December 2004): 141–46. http://dx.doi.org/10.5154/r.rchsh.2003.04.028.

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You might also be interested in the extended bibliographies on the topic 'Gene expression' for particular source types:
Journal articles Dissertations / Theses Books

Dissertations / Theses on the topic "Gene expression":

1

Knight, Deborah. "Novel schizophrenia risk genes and gene expression." Thesis, Cardiff University, 2012. http://orca.cf.ac.uk/47378/.

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ZNF804A was (at the time this work started) one of only a few robustly implicated schizophrenia susceptibility genes, due to replicated genome-wide significant evidence for association between a polymorphism in the gene and schizophrenia. Determining the function of the ZNF804A protein, which is currently unknown, may provide a way of elucidating the pathophysiology of this relatively common, complex disorder. Based on the hypothesis that the ZNF804A protein regulates gene expression or splicing, the aim of this thesis was to identify genes that exhibit altered expression or splicing in brain tissue from mice in which the orthologue Zfp804a carries a nonsense mutation. No robust evidence was obtained that showed the effects of the mutation on differential expression in individual genes. Although this finding does not support the hypothesis that ZNF804A acts directly to regulate gene expression, the results may reflect the possibility that effects on gene expression may be too subtle to be detected using the methods applied. Evidence was obtained to show the mutation affected the alternative splicing of a number of individual genes, which could suggest a role for ZNF804A in the direct or indirect regulation of alternative splicing. Through RNA sequencing, I identified a novel transcript in Zfp804a with an alternative exon upstream of the Refseq exon 1. I also showed that a proportion of the significant splicing differences identified in mutants were artefacts of strain differences in gene sequences that are likely to affect the efficiency of hybridisation on the exon array. Genes identified as differentially spliced between mutants and wildtypes were enriched in axon guidance and cell adhesion pathways, both thought to be important during development. The findings of this thesis suggest the novel hypothesis that ZNF804A effects risk for schizophrenia via aberrant splicing in the above pathways that are critical to normal brain development. Further studies with increased power are required to understand the effects on gene expression.
2

Preuten, Tobias. "Organellar gene expression." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät I, 2010. http://dx.doi.org/10.18452/16142.

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Zusätzlich zu der eubakteriellen RNA-Polymerase (RNAP) der Plastiden sind im Zellkern von Arabidopsis thaliana drei weitere, phagentypische RNAP kodiert, die jeweils aus nur einer Einheit aufgebaut sind. Die Enzyme RpoTp und RpoTm werden in die Plastiden, bzw. die Mitochondrien transportiert, während RpoTmp in beiden Organellen zu finden ist. Um die Lichtabhängigkeit der RpoT-Gene zu untersuchen, wurde die lichtinduzierte Akkumulation ihrer Transkripte in 7-Tage alten Keimlingen, sowie 3- bzw. 9-Wochen alten Rosettenblättern mittels quantitativer real-time PCR ermittelt. Die entwicklungsabhängige Regulation der RpoT-Transkript-Akkumulation wurde außerdem während der Blattentwicklung analysiert. Zusätzlich wurde der Einfluss des circadianen Rhythmus untersucht. Es stellte sich heraus, dass die Transkriptakkumulation aller drei RpoT-Gene stark lichtinduziert war und nur marginalen circadianen Schwankungen unterlag. In weiteren Versuchen mit verschiedenen Lichtrezeptor-Mutanten und unterschiedlichen Lichtqualitäten wurde der Einfluss multipler Rezeptoren auf den Prozess der Lichtinduktion gezeigt. In den Zellen höherer Pflanzen finden sich drei Genome. Die Biogenese von Chloroplasten und Mitochondrien, sowie lebenswichtige Prozesse, wie Atmung und Photosynthese setzen oftmals die Aktivität von Genen auf mindestens zwei dieser Genome voraus. Eine intrazelluläre Kommunikation zwischen den verschiedenen Genomen ist daher unumgänglich für einen funktionierenden Stoffwechsel der Pflanze. In dieser Arbeit wurde herausgestellt, dass die Zahl mitochondrialer Genkopien in photosynthetisch inaktiven Arabidopsis-Keimlingen drastisch erhöht ist. Bei der Untersuchung des DNA-Gehaltes in Proben, die Altersstufen von 2-Tage alten Keimblättern bis hin zu 37-Tage alten, seneszenten Rosettenblättern umfassten, fand sich ein deutlicher Anstieg der Kopienzahlen in älteren Rosettenblättern. Außerdem unterschieden sich die Kopienzahlen der untersuchten Gene zum Teil erheblich voneinander.
In addition to eubacterial-like multi-subunit RNA polymerases (RNAP) localized in plastids and the nucleus, Arabidopsis thaliana contains three phage-like single-unit, nuclear-encoded, organellar RNAPs. The enzymes RpoTp and RpoTm are imported into plastids and mitochondria, respectively, whereas RpoTmp shows dual targeting properties into both organelles. To investigate if expression of the RpoT genes is light-dependent, light-induced transcript accumulation of RpoTm, RpoTp and RpoTmp was analyzed using quantitative real-time-PCR in 7-day-old seedlings as well as in 3- and 9-week-old rosette leaves. To address the question whether RpoT transcript accumulation is regulated differentially during plant development transcript abundance was measured during leaf development. Additionally, effects of the plants circadian rhythm on RpoT transcript accumulation were analyzed. Transcripts of all three RpoT genes were found to be strongly light-induced even in senescent leaves and only marginally influenced by the circadian clock. Further analyses employing different photoreceptor mutants and light qualities revealed the involvement of multiple receptors in the light-induction process. The biogenesis of mitochondria and chloroplasts as well as processes like respiration and photosynthesis require the activity of genes residing in at least two distinct genomes. There have to be ways of intracellular communication between different genomes to control gene activities in response to developmental and metabolic needs of the plant. In this study, it was shown that gene copy numbers drastically increased in photosynthetically inactive Arabidopsis seedlings. Mitochondrial DNA contents in cotyledons and leaves ranging in age from 2-day-old cotyledons to 37-day-old senescent rosette leaves were examined. A common increase in senescing rosette leaves and drastic differences between individual genes were found, revealing the importance of an integrative chondriome in higher plant cells.
3

Jia, Yizhen, and 贾亦真. "Bioinformatics study of the lineage and tissue specificity of genes and gene expression." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2010. http://hub.hku.hk/bib/B45540652.

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Berggren, Bremdal Karin. "Evolution of MHC Genes and MHC Gene Expression." Doctoral thesis, Uppsala universitet, Evolutionsbiologi, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-122011.

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Polymorphism in coding regions and regions controlling gene expression is the major determinant of adaptive differences in natural populations. Genes of the major histocompatibility complex (MHC) possess a high level of genetic variation, which is maintained by selection over long coalescence times. MHC genes encode antigen-presenting molecules in the adaptive immune system, which protects the host from infectious diseases. However, MHC molecules may also present self-peptides and for most autoimmune diseases there is a genetic factor associated with the MHC. MHC genes have been used to learn about the interplay of selection and historical population events. In domestic dogs and their progenitor, the wolf, I explored factors associated with domestication and breed formation and their influence not only on MHC coding regions but also on the haplotypic structure of the class II region. Polymorphism and strong selection was demonstrated in the proximal promoters of MHC genes in dogs and wolves. Hence, genetic variation associated with MHC gene expression may have at least equal importance for a well functioning immune system. Associations between promoter sequences and particular coding alleles suggested allele-specific expression patterns. SNP haplotypes of the MHC class II region revealed ancestral as well as convergent haplotypes, in which combinations of alleles are kept by selection. Interestingly, weaker allelic associations were found between different genes and between coding regions and promoters in dogs compared to wolves. Potentially, this could cause insufficient defense against infections and predispose dogs to autoimmune diseases. For example, I identified a site in the promoter region that showed a consistent difference between haplotypes conferring susceptibility and protection to diabetes in dogs, which should be investigated further. Furthermore, I investigated how selection and demographic changes associated with glacial and inter-glacial periods have affected MHC variation in European hedgehogs and extended the prevailing knowledge concerning their population history.
5

Bashiardes, Evy. "Gene polymorphisms, gene expression and atherosclerotic plaques." Thesis, Imperial College London, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.420882.

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Smith, Erin N. "Gene-environment interaction in yeast gene expression /." Thesis, Connect to this title online; UW restricted, 2008. http://hdl.handle.net/1773/5025.

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Lemons, Derek Scott. "Gene expression and evolution." Diss., [La Jolla] : University of California, San Diego, 2010. http://wwwlib.umi.com/cr/ucsd/fullcit?p3397172.

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Thesis (Ph. D.)--University of California, San Diego, 2010.
Title from first page of PDF file (viewed March 23, 2010). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 98-111).
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Humphries, Clare Ruth. "Gene expression in schizophrenia." Thesis, Imperial College London, 1997. http://hdl.handle.net/10044/1/7770.

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Fischer, Heléne. "Gene expression in carcinogenesis /." Stockholm, 2001. http://diss.kib.ki.se/2001/91-628-4961-1/.

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Hornan, Daniel Mark. "Human macular gene expression." Thesis, University College London (University of London), 2005. http://discovery.ucl.ac.uk/1444745/.

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The human macula is essential for precise vision. It contains many more cone photoreceptors than the peripheral retina, especially in the fovea. Cones are known to express specific opsins and other proteins that form part of the phototransduction cascade. However, relatively little is known about retinal macular gene expression compared with the rod-rich peripheral retina. I obtained human donor eyes and used foveo-macular and macular punches and sections of peripheral retina to study differential gene expression. I combined multiple microarray experiments with quantitative PCR, statistical, and bioinformatic analyses. I identified several known and previously unidentified retinal genes that are more abundant in the macula. I went on to characterize proteins encoded by histone deacetylase 9 and the morpheus gene family. Both were expressed in the human macula, especially in the photoreceptors. Several other genes also provided insight into the mechanisms of precise vision and its maintenance. Genes identified by this approach are excellent candidates for macular disease.
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Books on the topic "Gene expression":

1

Hawkins, John D. Gene structure and expression. 3rd ed. Cambridge: Cambridge University Press, 1996.

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Hawkins, John D. Gene structure and expression. Cambridge [Cambridgeshire]: Cambridge University Press, 1985.

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Hawkins, John D. Gene structure and expression. 2nd ed. Cambridge [England]: Cambridge University Press, 1991.

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Karin, Michael, ed. Gene Expression. Boston, MA: Birkhäuser Boston, 1993. http://dx.doi.org/10.1007/978-1-4684-6811-3.

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Shimkets, Richard A. Gene Expression Profiling. New Jersey: Humana Press, 2004. http://dx.doi.org/10.1385/1592597513.

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Balbas, Paulina, and Argelia Lorence. Recombinant Gene Expression. New Jersey: Humana Press, 2004. http://dx.doi.org/10.1385/1592597742.

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Jun, Zhang, and Rokosh Gregg. Cardiac Gene Expression. New Jersey: Humana Press, 2007. http://dx.doi.org/10.1385/1597450308.

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Shav-Tal, Yaron, ed. Imaging Gene Expression. Totowa, NJ: Humana Press, 2013. http://dx.doi.org/10.1007/978-1-62703-526-2.

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Zhang, Jun, and Gregg Rokosh, eds. Cardiac Gene Expression. Totowa, NJ: Humana Press, 2007. http://dx.doi.org/10.1007/978-1-59745-030-0.

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Shav-Tal, Yaron, ed. Imaging Gene Expression. New York, NY: Springer New York, 2019. http://dx.doi.org/10.1007/978-1-4939-9674-2.

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Book chapters on the topic "Gene expression":

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Roberts, Stefan G. E., and Michael R. Green. "The Basic Transcriptional Machinery." In Gene Expression, 1–24. Boston, MA: Birkhäuser Boston, 1993. http://dx.doi.org/10.1007/978-1-4684-6811-3_1.

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Blau, Helen M. "Plasticity of the Differentiated State." In Gene Expression, 25–42. Boston, MA: Birkhäuser Boston, 1993. http://dx.doi.org/10.1007/978-1-4684-6811-3_2.

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Beato, Miguel. "Gene Regulation by Steroid Hormones." In Gene Expression, 43–75. Boston, MA: Birkhäuser Boston, 1993. http://dx.doi.org/10.1007/978-1-4684-6811-3_3.

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Montminy, Marc R. "Control of Transcription and Cellular Proliferation by cAMP." In Gene Expression, 76–92. Boston, MA: Birkhäuser Boston, 1993. http://dx.doi.org/10.1007/978-1-4684-6811-3_4.

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Schwarz, John J., James F. Martin, and Eric N. Olson. "Transcription Factors Controlling Muscle-Specific Gene Expression." In Gene Expression, 93–115. Boston, MA: Birkhäuser Boston, 1993. http://dx.doi.org/10.1007/978-1-4684-6811-3_5.

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Emerson, Beverly M. "Gene Expression in Hematopoietic Cells: The β-Globin Gene." In Gene Expression, 116–61. Boston, MA: Birkhäuser Boston, 1993. http://dx.doi.org/10.1007/978-1-4684-6811-3_6.

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Ciliberto, Gennaro, Vittorio Colantuoni, Raffaele De Francesco, Vincenzo De Simone, Paolo Monaci, Alfredo Nicosia, Dipak P. Ramji, Carlo Toniatti, and Riccardo Cortese. "Transcriptional Control of Gene Expression in Hepatic Cells." In Gene Expression, 162–242. Boston, MA: Birkhäuser Boston, 1993. http://dx.doi.org/10.1007/978-1-4684-6811-3_7.

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Theill, Lars Eyde. "Transcriptional Control of Pituitary Gene Expression." In Gene Expression, 243–95. Boston, MA: Birkhäuser Boston, 1993. http://dx.doi.org/10.1007/978-1-4684-6811-3_8.

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Pournourmohammadi, Shirin, and Mohammad Abdollahi. "Gene Expression." In Anticholinesterase Pesticides, 175–88. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9780470640500.ch14.

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Tree, Julia, Angela Essex-Lopresti, Stefan Wild, Ute Bissels, Barbara Schaffrath, Andreas Bosio, and Michael Elmore. "Gene Expression." In Nijkamp and Parnham's Principles of Immunopharmacology, 271–90. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-10811-3_17.

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Conference papers on the topic "Gene expression":

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MURALI, T. M., and SIMON KASIF. "EXTRACTING CONSERVED GENE EXPRESSION MOTIFS FROM GENE EXPRESSION DATA." In Proceedings of the Pacific Symposium. WORLD SCIENTIFIC, 2002. http://dx.doi.org/10.1142/9789812776303_0008.

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Coorey, H., R. Jayatillaka, N. Jayathilaka, and N. Ambanpola. "Determining Differentially Expressed Genes in Dengue Patients during Disease Progression." In SLIIT International Conference on Advancements in Sciences and Humanities 2023. Faculty of Humanities and Sciences, SLIIT, 2023. http://dx.doi.org/10.54389/ajrm6708.

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Gene expression studies on gene transcription to synthesize functional gene products have been used extensively to understand the biological differences between different disease conditions. Thus, this study determines differentially expressed genes in dengue infection during disease progression following the three phases: Febrile, Defervescence and Convalescent. Integrative data analysis of two publicly available longitudinal datasets in the Gene Expression Omnibus (GEO) database has been employed to accomplish the prime objective of exploring temporal gene expression patterns. The Friedman test was given more emphasis due to the non-normality distributions of data. Since previous studies on gene expression have not primarily relied on normality assumption, repeated measures analysis of variance and linear mixed models were implemented to examine the potential of detecting differentially expressed genes despite non-normality. The Friedman test indicated that gene expression levels differentiate with different phases in dengue disease over time, resulting in a high number of significant differentially expressed genes compared to the other two techniques. The pathway analysis approach consists of significant differentially expressed genes derived from the Friedman test. The results identified 27 and 26 upregulated pathways for the “Febrile and Convalescent” and “Defervescence and Convalescent” groups respectively. Moreover, genes available in pathways were not identified by the two parametric tests for non-normal data implying that the parametric approaches resulted in the least significance for data with non-normal distributions.
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Zinovieva, S. V., Z. V. Udalova, and F. K. Khasanov. "EXPRESSION OF IMMUNE SYSTEM GENES IN TOMATO PLANTS INFECTED BY MELOIDOGYNE INCOGNITA." In THEORY AND PRACTICE OF PARASITIC DISEASE CONTROL. VNIIP – FSC VIEV, 2024. http://dx.doi.org/10.31016/978-5-6050437-8-2.2024.25.135-139.

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Data were presented from a study on expression of resistance gene Mi-1.2 of protective genes of the PR gene family (PR-2, PR-3) and genes of serine and cysteine proteinase (PIser PIcys) inhibitors in tissues of tomato plants of resistant and susceptible hybrids infected by gall nematodes and an assessment of their role in parasite resistance was given. Differences were detected in the expression of the studied genes at all stages of nematode development in the roots of resistant and susceptible plants. The studies showed that the infection of resistant plants caused an increase in the study gene transcripts as early as in the initial period of infection, which indicated the response time to nematode larvae penetration and the speed of adequate protective response. Changes in the defense response-related gene expression in infected susceptible plants were insignificant and appeared after the larvae penetrated the roots, which may be one of the reasons for disease progress. The increased expression of the studied genes that encode protective proteins in infected roots of resistant plants found at all parasite development stages indicates the importance of protective proteins in tomato plant resistance to gall nematode.
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Lai, Yinglei. "The analysis of ordered changes of gene expression and gene-gene co-expression patterns." In 2011 IEEE 1st International Conference on Computational Advances in Bio and Medical Sciences (ICCABS). IEEE, 2011. http://dx.doi.org/10.1109/iccabs.2011.5729863.

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Polstein, Lauren R., and Charles A. Gersbach. "Photoregulated Gene Expression in Human Cells With Light-Inducible Engineered Transcription Factors." In ASME 2012 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/sbc2012-80573.

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Systems for controlling gene expression in mammalian cells have a wide range of applications in medicine, biotechnology and basic science. An ideal gene regulatory system would allow for precise and specific control over the magnitude and kinetics of gene expression in space and time, while also exerting minimal influence on other genes and cellular components. Several gene regulatory systems have been developed in which orthogonal transcription machinery from prokaryotes or insects has been imported into mammalian cells and used to control the expression of a specific gene. Despite the transformative impact of these systems in biomedical and biological research, several limitations of these technologies restrict the scope of possible applications. For example, gene expression in these systems is controlled by a freely diffusible small molecule, such as an antibiotic or steroid. Consequently, it is not possible to achieve spatial control over gene expression within cell culture, tissues, or whole organisms. This is in contrast to natural mechanisms of biological regulation in which spatial control is critical, such as developmental patterning and tissue morphogenesis. Second, dynamic gene regulation requires the removal of these small molecules, which may be slow, laborious, and/or impractical for a particular application. To overcome these limitations, we have engineered an optogenetic system in which the magnitude of gene expression in human cells can be finely tuned by photoregulated synthetic transcription factors.
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Perez, Matheus Moreira, David Feder, Beatriz da Costa Aguiar Alves, Fernando Luiz Affonso Fonseca, and Alzira Alves de Siqueira Carvalho. "myoMIR and gene expression in myofibrillar myopathy." In XIII Congresso Paulista de Neurologia. Zeppelini Editorial e Comunicação, 2021. http://dx.doi.org/10.5327/1516-3180.662.

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Background: Myofibrillar myopathies (MFM) represent a heterogeneous group of muscle disorders caused by mutations in different genes. It has been identified a group of microRNAs present in muscles named myoMIR. Objective: Evaluate the diagnostic value of these myoMIRs and mRNA expression in skeletal tissue from muscle biopsy of patients with MFM. Design and Setting: Muscle biopsies from 16 MFM patients with mutations in Desmin (DES), Myotilin (MYOT), ZASP, or Filamin C (FLNC) genes, and 18 donors (patients with minimal non- specific changes in muscle biopsy) were included. Study were conducted at FMABC. Methods: mRNA and myoMIR expression from both groups were assessed. The target myoMIRs were MIR1, MIR133a, MIR133b, MIR206, MIR208a, MIR208b, MIR486, and MIR499. Anova and Student’s t-test were performed. Results: Six patients presented mutations in DES, five in ZASP, three in FLNC, and two in MYOT. MIR133b (p=0.05), MIR499 (p=0.027), and mRNA expression was up-regulated in patients with MFM. MIR208a (p=0.042) was higher in the control group. We found an association between MIR133a and the presence of mutations in all genes studied (p=0.006). A relation between MIR486 and mutations in ZASP and DES (p=0.035) was also noted. Conclusions: • MIR208a seems to have a protective function in the muscle fiber; • Heterogeneity could be related to the concentration of gene expression in each patient; • Expression of myoMIRs influences several aspects in the muscle function through genes modulation which are important to myogenesis control;
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Li, Ling. "CRISPR/Cas9-based editing of OsNF-YC4/GmNF-YC4 promoter yields high-protein crops." In 2022 AOCS Annual Meeting & Expo. American Oil Chemists' Society (AOCS), 2022. http://dx.doi.org/10.21748/qsgt8379.

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Genome editing is a new breeding technology widely touted for transgene-free crop improvement; however, to date, the majority of derived traits are created through gene knockout. We describe a novel approach using gene editing to upregulate gene expression by removing negative repressor binding motifs. Our previous work demonstrated that ectopic expression of NF-YC4 increases protein content of leaves and seeds at the expense of carbohydrates. We detected several conserved motifs predicted to be bound by repressors in the promoter of rice and soybean NF-YC4 genes. Using CRISPR/Cas9 to edit the promoters of rice and soybean NF-YC4 genes, we deleted promoter fragments harboring repressor binding motifs. Those deletions resulted in decreased repressor binding, increased NF-YC4 expression, increased protein and decreased carbohydrates. Gene-edited plants showed up to 48% higher leaf protein and 15% increased seed protein. Moreover, we exemplify a general approach for upregulating gene expression through targeted genomic deletions.
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Ben-Dor, Amir, and Zohar Yakhini. "Clustering gene expression patterns." In the third annual international conference. New York, New York, USA: ACM Press, 1999. http://dx.doi.org/10.1145/299432.299448.

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Mishra, Debahuti, Kailash Shaw, Sashikala Mishra, Amiya Kumar Rath, and Milu Acharya. "Gene expression network discovery." In the 2011 International Conference. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/1947940.1948005.

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Zhang, Jianwei, Zhijian Wu, Zongyue Wang, Jinglei Guo, and Zhangcan Huang. "Unconstrained gene expression programming." In 2009 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2009. http://dx.doi.org/10.1109/cec.2009.4983192.

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Reports on the topic "Gene expression":

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Geballe, Adam. Translational Regulation of HER2 Gene Expression. Fort Belvoir, VA: Defense Technical Information Center, December 1997. http://dx.doi.org/10.21236/ada339298.

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Hrushesy, William, Phillip Bulkhaults, and Shaojin You. Sage Gene Expression Profiles Characterizing Cure. Fort Belvoir, VA: Defense Technical Information Center, October 2006. http://dx.doi.org/10.21236/ada462344.

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Gerald, William L. Gene Expression Analysis of Breast Cancer Progression. Fort Belvoir, VA: Defense Technical Information Center, July 2005. http://dx.doi.org/10.21236/ada437751.

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Wang, Xuefel, Huining Kang, Chris Fields, Jim R. Cowie, George S. Davidson, David Michael Haaland, Valeriy Sibirtsev, et al. Application of multidisciplinary analysis to gene expression. Office of Scientific and Technical Information (OSTI), January 2004. http://dx.doi.org/10.2172/918393.

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Peterson, Blake R. Anticar Inhibitors of AR-Mediated Gene Expression. Fort Belvoir, VA: Defense Technical Information Center, November 2005. http://dx.doi.org/10.21236/ada446982.

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Synold, Timothy W. In Vivo Imaging of MDR1A Gene Expression. Fort Belvoir, VA: Defense Technical Information Center, December 2004. http://dx.doi.org/10.21236/ada433034.

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Shields, Janiel M. Aberrant Gene Expression in NF1-Mediated Oncogenesis. Fort Belvoir, VA: Defense Technical Information Center, September 2002. http://dx.doi.org/10.21236/ada411494.

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Gudas, Lorraine J. Aberrant Homeobox Gene Expression in Mammary Tumorigenesis. Fort Belvoir, VA: Defense Technical Information Center, October 2002. http://dx.doi.org/10.21236/ada413156.

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Woloschak, G. E., T. Paunesku, C. M. Chang-Liu, L. Loberg, J. Gauger, and D. McCormick. Changes in gene expression following EMF exposure. Office of Scientific and Technical Information (OSTI), October 1997. http://dx.doi.org/10.2172/563249.

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Shields, Janiel M. Aberrant Gene Expression in NF1-Mediated Oncogenisis. Fort Belvoir, VA: Defense Technical Information Center, September 2003. http://dx.doi.org/10.21236/ada421873.

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