Kidney tranplantation - Transcriptiomic analysis and comparisons between donor groups full length analysis tables.docx
datasetposted on 30.04.2021, 09:58 by Megan Elizabeth Payne
Supplementary file of full length analysis tables for the dissertation titled 'Kidney transplantation: Transcriptomic analysis and comparisons between donor groups', written as part of the MSci in Biomedical Sciences 2020-2021. Supervisors: Professor Simi Ali, Translational and clinal research institute.
Full length analysis tables of microarray kidney transplant biopsy data identified from the gene expression profile GSE43974 via GEO. Differentially expressed genes (DEGs) were identified using GEO2R software. Pathway analysis of DEGs was performed utilising The Database for Annotation, Visualization, and Integrated Discovery (DAVID), to gain understanding of functional terms and pathways associated with DEGs. Pathway analysis used the Kyoto Encyclopaedia of Genes and Genomes (KEGG), which are based on a collection of databases used to create KEGG pathway maps, using the functional annotation tool. DAVID was used to perform REACTOME enrichment analysis also using the functional annotation tool, based on a manually curated and peer-reviewed database. Biological process and cellular component key terms were elucidated by gene ontology (GO) utilising DAVID. Tables include the category of analysis, the identified DAVID term, the number of times the term appears as a count, the percentage of times the term appears in the DEGs analysed, and p-value, by which the tables are ranked.