Littérature scientifique sur le sujet « Phenotype Microarray »
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Articles de revues sur le sujet "Phenotype Microarray"
De, Supriyo, Yongqing Zhang, John R. Garner, S. Alex Wang et Kevin G. Becker. « Disease and phenotype gene set analysis of disease-based gene expression in mouse and human ». Physiological Genomics 42A, no 2 (octobre 2010) : 162–67. http://dx.doi.org/10.1152/physiolgenomics.00008.2010.
Texte intégralXuan, Jianhua. « Cross phenotype normalization of microarray data ». Frontiers in Bioscience E2, no 1 (2010) : 171–86. http://dx.doi.org/10.2741/e80.
Texte intégralBochner, Barry, Vanessa Gomez, Michael Ziman, Shihui Yang et Steven D. Brown. « Phenotype MicroArray Profiling of Zymomonas mobilis ZM4 ». Applied Biochemistry and Biotechnology 161, no 1-8 (12 décembre 2009) : 116–23. http://dx.doi.org/10.1007/s12010-009-8842-2.
Texte intégralvon Eiff, Christof, Peter McNamara, Karsten Becker, Donna Bates, Xiang-He Lei, Michael Ziman, Barry R. Bochner, Georg Peters et Richard A. Proctor. « Phenotype Microarray Profiling of Staphylococcus aureus menD and hemB Mutants with the Small-Colony-Variant Phenotype ». Journal of Bacteriology 188, no 2 (15 janvier 2006) : 687–93. http://dx.doi.org/10.1128/jb.188.2.687-693.2006.
Texte intégralCard, Roderick, Jiancheng Zhang, Priya Das, Charlotte Cook, Neil Woodford et 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, no 1 (5 novembre 2012) : 458–65. http://dx.doi.org/10.1128/aac.01223-12.
Texte intégralViti, Carlo, Enrico Tatti et Luciana Giovannetti. « Phenotype MicroArray analysis of cells : fulfilling the promise ». Research in Microbiology 167, no 9-10 (novembre 2016) : 707–9. http://dx.doi.org/10.1016/j.resmic.2016.08.003.
Texte intégralTOHSATO, YUKAKO, TOMOYA BABA, YUSAKU MAZAKI, MASAHIRO ITO, BARRY L. WANNER et HIROTADA MORI. « ENVIRONMENTAL DEPENDENCY OF GENE KNOCKOUTS ON PHENOTYPE MICROARRAY ANALYSIS IN ESCHERICHIA COLI ». Journal of Bioinformatics and Computational Biology 08, supp01 (décembre 2010) : 83–99. http://dx.doi.org/10.1142/s021972001000521x.
Texte intégralÇebi, Alper Han, et 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, no 4 (2020) : 197–206. http://dx.doi.org/10.1159/000509645.
Texte intégralGerstgrasser, Matthias, Sarah Nicholls, Michael Stout, Katherine Smart, Chris Powell, Theodore Kypraios et Dov Stekel. « A Bayesian approach to analyzing phenotype microarray data enables estimation of microbial growth parameters ». Journal of Bioinformatics and Computational Biology 14, no 03 (juin 2016) : 1650007. http://dx.doi.org/10.1142/s0219720016500074.
Texte intégralHolt, S., et E. Sweeney. « Using microarray to diagnose Noonan Syndrome and predict phenotype ». Archives of Disease in Childhood 97, Suppl 1 (mai 2012) : A15.3—A16. http://dx.doi.org/10.1136/archdischild-2012-301885.38.
Texte intégralThèses sur le sujet "Phenotype Microarray"
Wennmalm, Kristian. « Analytical strategies for identifying relevant phenotypes in microarray data / ». Stockholm, 2007. http://diss.kib.ki.se/2007/978-91-7357-401-3/.
Texte intégralSjödin, 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.
Texte intégralMok, 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/.
Texte intégralMartínez, 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.
Texte intégralRösel, Anja [Verfasser], et Frank [Akademischer Betreuer] Pessler. « Application of the Biolog Phenotype MicroArray TM to study changes in host cell metabolism during influenza A virus infection / Anja Rösel ; Akademischer Betreuer : Frank Peßler ; Institut für Experimentelle Infektionsforschung des Twincore Zentrum für Experimentelle und Klinische Infektionsforschung ». Hannover : Bibliothek der Medizinischen Hochschule Hannover, 2017. http://nbn-resolving.de/urn:nbn:de:gbv:354-2017061613.
Texte intégralRösel, Anja [Verfasser], et Frank [Akademischer Betreuer] Peßler. « Application of the Biolog Phenotype MicroArray TM to study changes in host cell metabolism during influenza A virus infection / Anja Rösel ; Akademischer Betreuer : Frank Peßler ; Institut für Experimentelle Infektionsforschung des Twincore Zentrum für Experimentelle und Klinische Infektionsforschung ». Hannover : Bibliothek der Medizinischen Hochschule Hannover, 2017. http://d-nb.info/1135490783/34.
Texte intégralTurton, 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.
Texte intégralYahaya, 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.
Texte intégralShaffer, Justin P., Jana M. U'Ren, Rachel E. Gallery, David A. Baltrus et 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.
Texte intégralRoberge, 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.
Texte intégralIncludes 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.
Chapitres de livres sur le sujet "Phenotype Microarray"
Shea, April, Mark Wolcott, Simon Daefler et David A. Rozak. « Biolog Phenotype Microarrays ». Dans Microbial Systems Biology, 331–73. Totowa, NJ : Humana Press, 2012. http://dx.doi.org/10.1007/978-1-61779-827-6_12.
Texte intégralMackie, Amanda M., Karl A. Hassan, Ian T. Paulsen et Sasha G. Tetu. « Biolog Phenotype MicroArrays for Phenotypic Characterization of Microbial Cells ». Dans Methods in Molecular Biology, 123–30. Totowa, NJ : Humana Press, 2014. http://dx.doi.org/10.1007/978-1-62703-712-9_10.
Texte intégralBochner, Barry R. « Phenomics and Phenotype Microarrays : Applications Complementing Metagenomics ». Dans Handbook of Molecular Microbial Ecology I, 533–40. Hoboken, NJ, USA : John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118010518.ch59.
Texte intégralGawand, Pratish, Laurence Yang, William R. Cluett et Radhakrishnan Mahadevan. « Metabolic Model Refinement Using Phenotypic Microarray Data ». Dans Methods in Molecular Biology, 47–59. Totowa, NJ : Humana Press, 2013. http://dx.doi.org/10.1007/978-1-62703-299-5_3.
Texte intégralThorn, Christopher C., Deborah Williams et Thomas C. Freeman. « Oligonucleotide Microarray Expression Profiling of Contrasting Invasive Phenotypes in Colorectal Cancer ». Dans Methods in Molecular Biology, 203–21. Totowa, NJ : Humana Press, 2011. http://dx.doi.org/10.1007/978-1-61779-163-5_17.
Texte intégralPerez, Dragana Veljkovic, et Kay A. Robbins. « Detection of Phenotypes in Microarray Data Using Force- Directed Placement Transformss ». Dans 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.
Texte intégralBaarda, Benjamin I., et Aleksandra E. Sikora. « Phenotypic MicroArray Screening of Neisseria gonorrhoeae in Chemically Defined Liquid Medium ». Dans Neisseria gonorrhoeae, 207–16. New York, NY : Springer New York, 2019. http://dx.doi.org/10.1007/978-1-4939-9496-0_13.
Texte intégralFox, Edward M., et Kieran Jordan. « High-Throughput Characterization of Listeria monocytogenes Using the OmniLog Phenotypic Microarray ». Dans 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.
Texte intégralLuque-Sastre, Laura, Kieran Jordan, Séamus Fanning et Edward M. Fox. « High-Throughput Characterization of Listeria monocytogenes Using the OmniLog Phenotypic Microarray ». Dans Listeria Monocytogenes, 107–13. New York, NY : Springer US, 2020. http://dx.doi.org/10.1007/978-1-0716-0982-8_8.
Texte intégralChua, Gordon. « Identification of Transcription Factor Targets by Phenotypic Activation and Microarray Expression Profiling in Yeast ». Dans Methods in Molecular Biology, 19–35. Totowa, NJ : Humana Press, 2009. http://dx.doi.org/10.1007/978-1-59745-540-4_2.
Texte intégralActes de conférences sur le sujet "Phenotype Microarray"
Jacobsen, Janet S., Dominique C. Joyner et Sharon E. Borglin. « Visualization of Growth Curve Data from Phenotype Microarray Experiments ». Dans 2007 11th International Conference Information Visualization (IV '07). IEEE, 2007. http://dx.doi.org/10.1109/iv.2007.131.
Texte intégralTohsato, Yukako, Tadahiro Taniguchi, Hirotada Mori et Masahiro Ito. « Analyzing Phenotype Microarray Data for Escherichia coli Using an Infinite Relational Model ». Dans 2021 IEEE 9th International Conference on Bioinformatics and Computational Biology (ICBCB). IEEE, 2021. http://dx.doi.org/10.1109/icbcb52223.2021.9459236.
Texte intégralDymacek, Julian, et Nancy Lan Guo. « Systems Approach to Identifying Relevant Pathways from Phenotype Information in Dose-Dependent Time Series Microarray Data ». Dans 2011 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2011. http://dx.doi.org/10.1109/bibm.2011.76.
Texte intégralMisman, M. F., S. Deris, S. Z. M. Hashim, R. Jumali et M. S. Mohamad. « Pathway-Based Microarray Analysis for Defining Statistical Significant Phenotype-Related Pathways : A Review of Common Approaches ». Dans 2009 International Conference on Information Management and Engineering. IEEE, 2009. http://dx.doi.org/10.1109/icime.2009.103.
Texte intégralYeh, Hsiang-Yuan, Yi-Yu Liu, Cheng-Yu Yeh et Von-Wun Soo. « Identifying Prostate Cancer-Related Networks from Microarray Data Based on Genotype-Phenotype Networks Using Markov Blanket Search ». Dans 2010 IEEE International Conference on BioInformatics and BioEngineering. IEEE, 2010. http://dx.doi.org/10.1109/bibe.2010.64.
Texte intégralChen, Argon. « Analysis of microarray data with multiple phenotypes ». Dans Industrial Engineering (CIE39). IEEE, 2009. http://dx.doi.org/10.1109/iccie.2009.5223511.
Texte intégralZhao, Yuhai, Ying Yin et Guoren Wang. « Unsupervised Identifying Diagnostic Genes and Specific Phenotypes from Microarray Data ». Dans 2006 International Conference on Computational Intelligence and Security. IEEE, 2006. http://dx.doi.org/10.1109/iccias.2006.294239.
Texte intégralHsun-Hsien Chang et M. McGeachie. « Phenotype prediction by integrative network analysis of SNP and gene expression microarrays ». Dans 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.
Texte intégralBolger, Kenneth. « LSC Abstract – The use of microarray analysis of gene signalling to determine heterogeneity of COPD exacerbation phenotypes ». Dans ERS International Congress 2016 abstracts. European Respiratory Society, 2016. http://dx.doi.org/10.1183/13993003.congress-2016.yi5.
Texte intégralHuang, Alice H., et Robert L. Mauck. « Repeated Dynamic Loading Modulates Cartilage Gene Expression but Does Not Improve Mechanical Properties of MSC-Laden Hydrogels ». Dans ASME 2009 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2009. http://dx.doi.org/10.1115/sbc2009-204339.
Texte intégralRapports d'organisations sur le sujet "Phenotype Microarray"
Tucker, Mark L., Shimon Meir, Amnon Lers, Sonia Philosoph-Hadas et Cai-Zhong Jiang. Elucidation of signaling pathways that regulate ethylene-induced leaf and flower abscission of agriculturally important plants. United States Department of Agriculture, janvier 2012. http://dx.doi.org/10.32747/2012.7597929.bard.
Texte intégralJoyner, Dominique, Julian Fortney, Romy Chakraborty et Terry Hazen. Adaptation of the Biolog Phenotype MicroArrayTM Technology to Profile the Obligate Anaerobe Geobacter metallireducens. Office of Scientific and Technical Information (OSTI), mai 2010. http://dx.doi.org/10.2172/985923.
Texte intégralMeir, Shimon, Michael S. Reid, Cai-Zhong Jiang, Amnon Lers et Sonia Philosoph-Hadas. Molecular Studies of Postharvest Leaf and Flower Senescence. United States Department of Agriculture, janvier 2011. http://dx.doi.org/10.32747/2011.7592657.bard.
Texte intégralLers, Amnon, et Gan Susheng. Study of the regulatory mechanism involved in dark-induced Postharvest leaf senescence. United States Department of Agriculture, janvier 2009. http://dx.doi.org/10.32747/2009.7591734.bard.
Texte intégralBarg, Rivka, Erich Grotewold et Yechiam Salts. Regulation of Tomato Fruit Development by Interacting MYB Proteins. United States Department of Agriculture, janvier 2012. http://dx.doi.org/10.32747/2012.7592647.bard.
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