Identification of Common genes and proteins in Alzheimer's Disease, Multiple Sclerosis and Duchenne Muscular Dystrophy using in-silico methods

Alzheimer's is a type of dementia symptom that slowly worsens over some time. In its early stages, memory loss is mild, but with late-stage Alzheimer's, the patient loses the ability to carry on a conversation and respond to their environment. Multiple sclerosis (MS) is an autoimmune disea...

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Bibliographic Details
Published inbioRxiv
Main Authors Singh, Subhankar Kumar, Maiti, Tarasankar, Chakraborty, Souvik, Chakraborty, Anuska
Format Paper
LanguageEnglish
Published Cold Spring Harbor Cold Spring Harbor Laboratory Press 27.09.2021
Subjects
Alzheimer's disease
Autoimmune diseases
Central nervous system
Dementia disorders
Demyelination
Duchenne's muscular dystrophy
Gene expression
Gliosis
Minority & ethnic groups
Multiple sclerosis
Muscular dystrophy
Neurodegenerative diseases
Neuromuscular diseases
Protein interaction
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Summary:Alzheimer's is a type of dementia symptom that slowly worsens over some time. In its early stages, memory loss is mild, but with late-stage Alzheimer's, the patient loses the ability to carry on a conversation and respond to their environment. Multiple sclerosis (MS) is an autoimmune disease of the central nervous system (CNS) characterized by chronic inflammation, demyelination, gliosis, and neuronal loss. Duchenne muscular dystrophy (DMD) is one of the most severe forms of inherited muscular dystrophies. It is the most common hereditary neuromuscular disease and does not exhibit a predilection for any race or ethnic group. In this study, several gene expression study data were analyzed and there were 557 Differentially Expressed Genes (DEGs) in all three chosen Datasets. A protein-protein interaction network was created using STRING and CytoHubba plug-in was used to identify the top ten genes which are POLR2A, SETD2, EFTUD2, RBM25, PRPF40A, CDK13, BPTF, THOC2, SNRNP70, and SCAF11. Online software Enrichr was used for Gene Ontology and KEGG pathway enrichment analysis to find out the biological process, molecular function, cellular component, and the pathways that are commonly affected in these diseases. Competing Interest Statement The authors have declared no competing interest. Footnotes * https://docs.google.com/spreadsheets/d/1P1dUIqNxeDYjACaUVLEELZEXFRF06PXnTZImGivt--c/edit?usp=sharing * https://docs.google.com/spreadsheets/d/15z1O0nO5PNT7Ax4T3H0DDV0ewz7YL2MOz_FmMIL_xHg/edit?usp=sharing * https://docs.google.com/spreadsheets/d/1bqNYYrXUiAYlkNyWbtGAcIvGWxmZJPW1ZptmXxsggxY/edit?usp=sharing * https://drive.google.com/drive/folders/1nxUfIdUz7ZQu9UIZNHxggo2o4mvMm7Yu?usp=sharing
DOI:10.1101/2021.09.24.461706