Identifying the function of methylated genes in Alzheimer's disease to determine epigenetic signatures: A comprehensive bioinformatics analysis

Md Rezanur Rahman, Tania Islam, Esra Gov, Julian M.W. Quinn, Mohammad Ali Moni

Research output: Contribution to journalArticlepeer-review

8 Downloads (Pure)

Abstract

Gene methylation is one means of controlling tissue gene expression, but it is unknown what pathways influencing Alzheimer's disease (AD) are controlled this way. We compared normal and AD brain tissue data for gene expression (mRNAs) and gene methylation profiling. We identified methylated differentially expressed genes (MDEGs). Protein-protein interaction (PPI) of the MDEGs showed 18 hypermethylated low-expressed genes (Hyper-LGs) involved in cell signaling and metabolism; also 10 hypomethylated highly expressed (Hypo-HGs) were involved in regulation of transcription and development. Molecular pathways enriched in Hyper-LGs included neuroactive ligand-receptor interaction pathways. Hypo-HGs were notably enriched in pathways including hippo signaling. PPI analysis also identified both Hyper-LGs and Hypo-HGs, as hub proteins. Our analysis of AD datasets identified Hyper-LGs, Hypo-HGs, and transcription factors linked to these genes. These pathways, which may participate in Alzheimer's disease development, may be affected by treatments that influence gene methylation patterns.

Original languageEnglish
Article numbere9
Pages (from-to)1-13
Number of pages13
JournalExperimental Results
Volume2
DOIs
Publication statusPublished - 02 Feb 2021

Fingerprint

Dive into the research topics of 'Identifying the function of methylated genes in Alzheimer's disease to determine epigenetic signatures: A comprehensive bioinformatics analysis'. Together they form a unique fingerprint.

Cite this