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Title: Understanding the differences in preliminary stages of gene expression regulation in healthy and unhealthy mammalian tissues and identification of potential markers
Researcher: Neelima Ch
Guide(s): Abhijit Mitra and Kshitish Acharya
Keywords: Affymetrix
Alternative Splicing
Gene expression
RNA sequencing
University: International Institute of Information Technology, Hyderabad
Completed Date: 10/11/2016
Abstract: Determining gene and transcript expression patterns is crucial for understanding cellular and molecular biology concepts Currently available resources have many limitations Need to develop a new resource help in establishing expression patterns newlineGene expression patterns can also assist in the identification of biomarkers, which in turn is an important step for identification of better diagnostics and prognostics Microarray experiments have been extensively used to identify genes associated with various physiological conditions Establishing expression of the transcript isoforms in various physiological and disease conditions is important, as most of the human genes undergo alternative splicing and produce an enormous number of transcript isoforms, and these isoforms are also associated with diseases newlineNon obstructive azoospermia is a common male infertility disorder that can be considered as a case for reanalyzing the gene expression data corresponding to it Microarray studies have enabled identification of genes differentially regulated in this disease But, no meta analysis attempts have been made to identify genes strongly associated with the disease, which can be further used as potential biomarkers It should be possible to identify transcript isoforms as potential biomarkers for non obstructive azoospermia newlineThe majority of the existing gene expression data was compiled for the mammalian testis tissue via a laborious biocuration process newlineThe new gene expression database developed using such curated data was found to be superior to other available databases in many aspects The expression pattern predicted by the tool was validated experimentally and the results were convincing newlineThe transcriptome for non obstructive azoospermia was established for the first time using RNA sequencing, and a few potential biomarkers were also identified Novel insights were obtained towards the factors that promote alternative splicing in the mammalian testis tissue
Pagination: xxi, 329
Appears in Departments:Bioinformatics

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01_title.pdfAttached File156 kBAdobe PDFView/Open
02_certificates.pdf295.73 kBAdobe PDFView/Open
03_aknowledgements.pdf142.32 kBAdobe PDFView/Open
04_contents.pdf345.4 kBAdobe PDFView/Open
05_preface.pdf142.52 kBAdobe PDFView/Open
06_list of tables figues.pdf382.72 kBAdobe PDFView/Open
07_chapter 1.pdf1.73 MBAdobe PDFView/Open
08_chapter 2.pdf2.72 MBAdobe PDFView/Open
09_chapter 3.pdf3.18 MBAdobe PDFView/Open
10_chapter 4.pdf4.89 MBAdobe PDFView/Open
11_chapter 5.pdf1.98 MBAdobe PDFView/Open
12_chapter 6.pdf1.62 MBAdobe PDFView/Open
13_chapter 7.pdf708.89 kBAdobe PDFView/Open
14_references.pdf535.72 kBAdobe PDFView/Open

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