Literatura académica sobre el tema "Phenotype Microarry"
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Artículos de revistas sobre el tema "Phenotype Microarry"
Wang, Mengyu, Jingfang Ju, Stein Saeboe-Larssen, Svein-Ole Mikalsen, Elena Olsen, Jahn M. Nesland, Oystein Fodstad, Gunhild Maelandsmo y Gunnar Kvalheim. "Characterization of a Bone Marrow Derived Mesenchymal Cell Line from Nude Rat Assembling Tumor Stem/Progenitor Cell Properties In Vitro and In Vivo." Blood 108, n.º 11 (16 de noviembre de 2006): 4256. http://dx.doi.org/10.1182/blood.v108.11.4256.4256.
Texto completoDe, Supriyo, Yongqing Zhang, John R. Garner, S. Alex Wang y Kevin G. Becker. "Disease and phenotype gene set analysis of disease-based gene expression in mouse and human". Physiological Genomics 42A, n.º 2 (octubre de 2010): 162–67. http://dx.doi.org/10.1152/physiolgenomics.00008.2010.
Texto completoAmeen, Sirwan Muhsin Muhammed Ameen. "High throughput Phenotypic Microarray profiling of Mycobacterium abscessus". Journal of Zankoy Sulaimani - Part A 20, n.º 2 (20 de junio de 2018): 9–20. http://dx.doi.org/10.17656/jzs.10720.
Texto completovon Eiff, Christof, Peter McNamara, Karsten Becker, Donna Bates, Xiang-He Lei, Michael Ziman, Barry R. Bochner, Georg Peters y Richard A. Proctor. "Phenotype Microarray Profiling of Staphylococcus aureus menD and hemB Mutants with the Small-Colony-Variant Phenotype". Journal of Bacteriology 188, n.º 2 (15 de enero de 2006): 687–93. http://dx.doi.org/10.1128/jb.188.2.687-693.2006.
Texto completoBochner, B. R. "Phenotype MicroArrays for High-Throughput Phenotypic Testing and Assay of Gene Function". Genome Research 11, n.º 7 (1 de julio de 2001): 1246–55. http://dx.doi.org/10.1101/gr.186501.
Texto completoCard, Roderick, Jiancheng Zhang, Priya Das, Charlotte Cook, Neil Woodford y Muna F. Anjum. "Evaluation of an Expanded Microarray for Detecting Antibiotic Resistance Genes in a Broad Range of Gram-Negative Bacterial Pathogens". Antimicrobial Agents and Chemotherapy 57, n.º 1 (5 de noviembre de 2012): 458–65. http://dx.doi.org/10.1128/aac.01223-12.
Texto completoPaschoalini, Rafael Bispo, Rozany Mucha Dufloth, Francisco Alves Moraes Neto y Fernando C. Schmitt. "Cytological Criteria for Predicting the Luminal Phenotype of Breast Carcinoma". Acta Cytologica 60, n.º 5 (2016): 406–12. http://dx.doi.org/10.1159/000448835.
Texto completoÇebi, Alper Han y Şule Altıner. "Application of Chromosome Microarray Analysis in the Investigation of Developmental Disabilities and Congenital Anomalies: Single Center Experience and Review of NRXN3 and NEDD4L Deletions". Molecular Syndromology 11, n.º 4 (2020): 197–206. http://dx.doi.org/10.1159/000509645.
Texto completoBiyani, Manish, Y. Hosoi, T. Ichiki y N. Nemoto. "3P075 Genotype-phenotype linked Microarray Evolution Reactor: Construction and screening a new fluorescent protein from random-sequence space". Seibutsu Butsuri 45, supplement (2005): S222. http://dx.doi.org/10.2142/biophys.45.s222_3.
Texto completoZhou, Lu, Xiang-He Lei, Barry R. Bochner y Barry L. Wanner. "Phenotype MicroArray Analysis of Escherichia coli K-12 Mutants with Deletions of All Two-Component Systems". Journal of Bacteriology 185, n.º 16 (15 de agosto de 2003): 4956–72. http://dx.doi.org/10.1128/jb.185.16.4956-4972.2003.
Texto completoTesis sobre el tema "Phenotype Microarry"
Wennmalm, Kristian. "Analytical strategies for identifying relevant phenotypes in microarray data /". Stockholm, 2007. http://diss.kib.ki.se/2007/978-91-7357-401-3/.
Texto completoSjödin, Andreas. "Populus transcriptomics : from noise to biology /". Umeå : Department of Plant Physiology, Umeå University, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-1423.
Texto completoTurton, Nicola. "Association of gene expression and genomic change, analysed using microarrays, with phenotype in breast carcinoma". Thesis, University of Leicester, 2003. http://hdl.handle.net/2381/30770.
Texto completoYahaya, Badrul H. "Analysis of time-dependent transcriptomic and phenotypic changes associated with repair and regeneration in the airway epithelium". Thesis, University of Edinburgh, 2010. http://hdl.handle.net/1842/4800.
Texto completoShaffer, Justin P., Jana M. U'Ren, Rachel E. Gallery, David A. Baltrus y A. Elizabeth Arnold. "An Endohyphal Bacterium (Chitinophaga, Bacteroidetes) Alters Carbon Source Use by Fusarium keratoplasticum (F. solani Species Complex, Nectriaceae)". FRONTIERS MEDIA SA, 2017. http://hdl.handle.net/10150/623193.
Texto completoGhadiali, Alifiya H. "Studies on Mycobacterium avium subsp. paratuberculosis genotypic and phenotypic variations /". Connect to this title online, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1110229469.
Texto completoDocument formatted into pages; contains xxi, 216 p. Includes bibliographical references. Abstract available online via OhioLINK's ETD Center; full text release delayed at author's request until 2006 March 9.
Roberge, Christopher (Christopher M. ). "Design, manufacture, and application of DNA microarrays to study gene expression phenotypes of lysine-producing Corynebacterium glutamicum". Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/32322.
Texto completoIncludes bibliographical references (leaves 197-213).
Corynebacterium glutamicum partial genome DNA microarrays were constructed that were capable of assaying the transcriptional profile of the genes of pathways involved in central carbon metabolism and lysine biosynthesis. It was found that to ensure arrays of high quality, protocols applying the arrays should include DNase treatment of RNA samples. additional RNA filtration purification steps, and the use of gene specific primers in the formation of labeled cDNA through reverse transcription. After implementing these procedures, the accuracy and reproducibility of the array data were validated. The microarrays were used to explore the effects of the over-expression of the key anaplerotic enzyme pyruvate carboxylase and the use of different medium carbon source compositions, both of which have been shown to influence the yields of biomass on carbon and of lysine on biomass. Three different strains of C. glutamicum that were grown on six different minimal medium formulations that varied in their balance of glucose and lactate were assayed by isolating total mRNA samples from cultures in three different phases of growth and lysine production. Genes associated with glycolysis and the pentose phosphate pathway showed decreased transcript concentrations as the available carbon source was shifted from glucose to lactate, while those associated with the TCA cycle and the glyoxylate bypass demonstrated increased transcription. As the cultures stopped generating biomass and began generating lysine, mRNA of genes associated with lysine synthesis and export was measured at elevated concentrations.
(cont.) Reduced gene expression trends seen for aspartokinase and aspartate semialdehyde dehydrogenase suggest that the enzymes are bottlenecks to lysine production, particularly when pyruvate carboxylase is over-expressed and lactate is the available carbon source. This over-expressing strain also had higher transcription levels of the genes of biotin synthesis. and lower transcription levels of the acyl-coA carboxylases dtsRl, dtsR2, accC, and accD. Other results implied that malic enzyme is co-expressed with pyruvate carboxylase to better allow cultures grown on lactate to produce NADPH in the absence of significant pentose phosphate pathway flux. Also, the transcriptional and flux profiles of a pair of C. glutamicum strains grown on two different medium compositions of isotopically labeled glucose and lactate were determined simultaneously from the same set of actively growing and lysine-producing cultures. Flux maps for each of the four combinations of strain and medium were constructed using calculations derived from metabolite balances and GC-MS measurements of the isotopic distributions within biomass hydrolysates of the pseudo-steady-state cultures. Comparisons of the two sets of data showed that 19 of 28 pairs of flux and transcription measurements had trends with good agreement with one another. Different pathways of the metabolic network were found to be controlled via transcription in varying degrees. On average, the Embden- Meyerhof-Parnas pathway was shown to be less likely to be regulated though transcription than the pathways of the tricarboxylic acid cycle and central carbon anaplerosis.
(cont.) In the split pathway available to the cells for producing lysine, the succinylation branch showed an increase in flux for only the case of a pyruvate carboxylase over-expressing strain that was grown on lactate, while the alternate dehydrogenation branch showed a complementary decrease in flux. These flux changes were matched by changes in transcription that only occurred for the same culture and growth medium. Through these findings we have demonstrated the application of C. glutamicum DNA microarrays to the determination of how the cells regulate their responses at the transcriptional level to changes in both gene over-expression and medium composition.
by Christopher Roberge.
Ph.D.
Wong, Chieh Lee. "Identification of unique genetic and epigenetic signatures in myeloproliferative neoplasms using microarray and next generation sequencing : association with MPN-related mutations and clinical phenotypes". Thesis, Imperial College London, 2016. http://hdl.handle.net/10044/1/52714.
Texto completoMok, Bobo. "Genomic and transcriptomic variation in blood stage Plasmodium falciparum /". Stockholm : Karolinska institutet, 2007. http://diss.kib.ki.se/2007/978-91-7357-291-0/.
Texto completoMartínez, Enguita David. "Identification of personalized multi-omic disease modules in asthma". Thesis, Högskolan i Skövde, Institutionen för biovetenskap, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-15987.
Texto completoCapítulos de libros sobre el tema "Phenotype Microarry"
Shea, April, Mark Wolcott, Simon Daefler y David A. Rozak. "Biolog Phenotype Microarrays". En Microbial Systems Biology, 331–73. Totowa, NJ: Humana Press, 2012. http://dx.doi.org/10.1007/978-1-61779-827-6_12.
Texto completoMackie, Amanda M., Karl A. Hassan, Ian T. Paulsen y Sasha G. Tetu. "Biolog Phenotype MicroArrays for Phenotypic Characterization of Microbial Cells". En Methods in Molecular Biology, 123–30. Totowa, NJ: Humana Press, 2014. http://dx.doi.org/10.1007/978-1-62703-712-9_10.
Texto completoBochner, Barry R. "Phenomics and Phenotype Microarrays: Applications Complementing Metagenomics". En Handbook of Molecular Microbial Ecology I, 533–40. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118010518.ch59.
Texto completoGawand, Pratish, Laurence Yang, William R. Cluett y Radhakrishnan Mahadevan. "Metabolic Model Refinement Using Phenotypic Microarray Data". En Methods in Molecular Biology, 47–59. Totowa, NJ: Humana Press, 2013. http://dx.doi.org/10.1007/978-1-62703-299-5_3.
Texto completoThorn, Christopher C., Deborah Williams y Thomas C. Freeman. "Oligonucleotide Microarray Expression Profiling of Contrasting Invasive Phenotypes in Colorectal Cancer". En Methods in Molecular Biology, 203–21. Totowa, NJ: Humana Press, 2011. http://dx.doi.org/10.1007/978-1-61779-163-5_17.
Texto completoPerez, Dragana Veljkovic y Kay A. Robbins. "Detection of Phenotypes in Microarray Data Using Force- Directed Placement Transformss". En Machine Learning and Data Mining in Pattern Recognition, 320–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23199-5_24.
Texto completoBaarda, Benjamin I. y Aleksandra E. Sikora. "Phenotypic MicroArray Screening of Neisseria gonorrhoeae in Chemically Defined Liquid Medium". En Neisseria gonorrhoeae, 207–16. New York, NY: Springer New York, 2019. http://dx.doi.org/10.1007/978-1-4939-9496-0_13.
Texto completoFox, Edward M. y Kieran Jordan. "High-Throughput Characterization of Listeria monocytogenes Using the OmniLog Phenotypic Microarray". En Methods in Molecular Biology, 103–8. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-0703-8_9.
Texto completoLuque-Sastre, Laura, Kieran Jordan, Séamus Fanning y Edward M. Fox. "High-Throughput Characterization of Listeria monocytogenes Using the OmniLog Phenotypic Microarray". En Listeria Monocytogenes, 107–13. New York, NY: Springer US, 2020. http://dx.doi.org/10.1007/978-1-0716-0982-8_8.
Texto completoChua, Gordon. "Identification of Transcription Factor Targets by Phenotypic Activation and Microarray Expression Profiling in Yeast". En Methods in Molecular Biology, 19–35. Totowa, NJ: Humana Press, 2009. http://dx.doi.org/10.1007/978-1-59745-540-4_2.
Texto completoActas de conferencias sobre el tema "Phenotype Microarry"
Chen, Argon. "Analysis of microarray data with multiple phenotypes". En Industrial Engineering (CIE39). IEEE, 2009. http://dx.doi.org/10.1109/iccie.2009.5223511.
Texto completoJacobsen, Janet S., Dominique C. Joyner y Sharon E. Borglin. "Visualization of Growth Curve Data from Phenotype Microarray Experiments". En 2007 11th International Conference Information Visualization (IV '07). IEEE, 2007. http://dx.doi.org/10.1109/iv.2007.131.
Texto completoZhao, Yuhai, Ying Yin y Guoren Wang. "Unsupervised Identifying Diagnostic Genes and Specific Phenotypes from Microarray Data". En 2006 International Conference on Computational Intelligence and Security. IEEE, 2006. http://dx.doi.org/10.1109/iccias.2006.294239.
Texto completoTohsato, Yukako, Tadahiro Taniguchi, Hirotada Mori y Masahiro Ito. "Analyzing Phenotype Microarray Data for Escherichia coli Using an Infinite Relational Model". En 2021 IEEE 9th International Conference on Bioinformatics and Computational Biology (ICBCB). IEEE, 2021. http://dx.doi.org/10.1109/icbcb52223.2021.9459236.
Texto completoHsun-Hsien Chang y M. McGeachie. "Phenotype prediction by integrative network analysis of SNP and gene expression microarrays". En 2011 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2011. http://dx.doi.org/10.1109/iembs.2011.6091689.
Texto completoDymacek, Julian y Nancy Lan Guo. "Systems Approach to Identifying Relevant Pathways from Phenotype Information in Dose-Dependent Time Series Microarray Data". En 2011 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2011. http://dx.doi.org/10.1109/bibm.2011.76.
Texto completoMisman, M. F., S. Deris, S. Z. M. Hashim, R. Jumali y M. S. Mohamad. "Pathway-Based Microarray Analysis for Defining Statistical Significant Phenotype-Related Pathways: A Review of Common Approaches". En 2009 International Conference on Information Management and Engineering. IEEE, 2009. http://dx.doi.org/10.1109/icime.2009.103.
Texto completoYeh, Hsiang-Yuan, Yi-Yu Liu, Cheng-Yu Yeh y Von-Wun Soo. "Identifying Prostate Cancer-Related Networks from Microarray Data Based on Genotype-Phenotype Networks Using Markov Blanket Search". En 2010 IEEE International Conference on BioInformatics and BioEngineering. IEEE, 2010. http://dx.doi.org/10.1109/bibe.2010.64.
Texto completoBolger, Kenneth. "LSC Abstract – The use of microarray analysis of gene signalling to determine heterogeneity of COPD exacerbation phenotypes". En ERS International Congress 2016 abstracts. European Respiratory Society, 2016. http://dx.doi.org/10.1183/13993003.congress-2016.yi5.
Texto completoHuang, Alice H. y Robert L. Mauck. "Repeated Dynamic Loading Modulates Cartilage Gene Expression but Does Not Improve Mechanical Properties of MSC-Laden Hydrogels". En ASME 2009 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2009. http://dx.doi.org/10.1115/sbc2009-204339.
Texto completoInformes sobre el tema "Phenotype Microarry"
Marchionni, Enrica, Daniele Guadagnolo, Gioia Mastromoro y Antonio Pizzuti. Diagnostic yield of prenatal Exome Sequencing in fetal Central Nervous System Anomalies: systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, mayo de 2023. http://dx.doi.org/10.37766/inplasy2023.5.0003.
Texto completoTucker, Mark L., Shimon Meir, Amnon Lers, Sonia Philosoph-Hadas y Cai-Zhong Jiang. Elucidation of signaling pathways that regulate ethylene-induced leaf and flower abscission of agriculturally important plants. United States Department of Agriculture, enero de 2012. http://dx.doi.org/10.32747/2012.7597929.bard.
Texto completoMeir, Shimon, Michael S. Reid, Cai-Zhong Jiang, Amnon Lers y Sonia Philosoph-Hadas. Molecular Studies of Postharvest Leaf and Flower Senescence. United States Department of Agriculture, enero de 2011. http://dx.doi.org/10.32747/2011.7592657.bard.
Texto completoLers, Amnon y Gan Susheng. Study of the regulatory mechanism involved in dark-induced Postharvest leaf senescence. United States Department of Agriculture, enero de 2009. http://dx.doi.org/10.32747/2009.7591734.bard.
Texto completoBarg, Rivka, Erich Grotewold y Yechiam Salts. Regulation of Tomato Fruit Development by Interacting MYB Proteins. United States Department of Agriculture, enero de 2012. http://dx.doi.org/10.32747/2012.7592647.bard.
Texto completo