title: Large-Scale Transcriptome Analysis.
abstract: Genomic variants identified to be linked with complex traits such as blood pressure are fewer in coding sequences compared to noncoding sequences. This being the case, there is an increasing need to query the expression of genes at a genome scale to then correlate the cause of alteration in expression to the function of variants regardless of where they are located. To do so, quering transcriptomes using microarray technology serves as a good experimental tool. This Chapter presents the basic methods needed to conduct a microarray experiment and points to resources avaiable online to complete the analysis and generate data regarding the transcriptomic status of a tissue sample relevant to hypertension.
authors.affiliation: Center for Hypertension and Personalized Medicine, Bioinformatics, Proteomics and Genomics Program, Department of Surgery, University of Toledo College of Medicine, Toledo, OH, USA.|Center for Hypertension and Personalized Medicine, Department of Physiology and Pharmacology, University of Toledo College of Medicine, Toledo, OH, USA.
authors.forename: David
authors.initials: D
authors.lastname: Weaver
authors.affiliation: Center for Hypertension and Personalized Medicine, Department of Physiology and Pharmacology, University of Toledo College of Medicine, Toledo, OH, USA.|Program in Physiological Genomics, Center for Hypertension and Personalized Medicine, Department of Physiology and Pharmacology, University of Toledo College of Medicine and Life Sciences, 3000 Arlington Avenue, Toledo, OH, 43614-2598, USA.
authors.forename: Kathirvel
authors.initials: K
authors.lastname: Gopalakrishnan
authors.affiliation: Center for Hypertension and Personalized Medicine, Bioinformatics, Proteomics and Genomics Program, Department of Surgery, University of Toledo College of Medicine, Toledo, OH, USA. bina.joe@utoledo.edu.|Center for Hypertension and Personalized Medicine, Department of Physiology and Pharmacology, University of Toledo College of Medicine, Toledo, OH, USA. bina.joe@utoledo.edu.|Program in Physiological Genomics, Center for Hypertension and Personalized Medicine, Department of Physiology and Pharmacology, University of Toledo College of Medicine and Life Sciences, 3000 Arlington Avenue, Toledo, OH, 43614-2598, USA. bina.joe@utoledo.edu.
authors.forename: Bina
authors.initials: B
authors.lastname: Joe
mesh_terms: D000818:Animals; D001794:Blood Pressure / Q000235:genetics / Q000502:physiology*; D047369:Chromatin Immunoprecipitation; D006801:Humans; D062085:RNA, Long Noncoding / Q000235:genetics; D012333:RNA, Messenger / Q000235:genetics; D059467:Transcriptome / Q000235:genetics*
chemical_list: D062085:RNA, Long Noncoding; D012333:RNA, Messenger
keywords: Chip; Microarray; array; blood pressure; lncRNA; mRNA