TRANSCRIPTOMIC ANALYSIS OF HIPPOCAMPAL SUBFIELD CA1 IN ALZHEIMER’S DISEASE
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Title |
TRANSCRIPTOMIC ANALYSIS OF HIPPOCAMPAL SUBFIELD CA1 IN ALZHEIMER’S DISEASE
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Identifier |
https://doi.org/10.7910/DVN/PEFKRI
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Creator |
Ghosh, Animikha
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Publisher |
Harvard Dataverse
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Description |
Abstract: Introduction:Alzheimer's disease (hereafter, AD) is a neurodegenerative disorder affecting mainly elder population (age 60 and above). While it could be observed in the younger population as well it's prevalence is more among the older generation. AD accounts for the majority of the dementia, therefore our focus is on the hippocampus, in particular the CA1 subfield.For the purpose of the study, we used the GSE184942 dataset. We performed Quantile Normalization, Principal Component Analysis, Gene set enrichment analysis. We are able to find significantly differentially expressed genes and pathways.Methods: We downloaded both the series matrix file and supplementary file.There are five healthy controls (X157,X158,X159,X164,X166) and five AD patients (X119,X142,X150,X161,X167).However, Deseq2 is a widely used algorithm for differential gene expression analysis of unnormalized data.Followed by Deseq2 we ran Enrichment Analysis & Gene Set Enrichment Analysis.Table S4 contains GO enrichment analysis of total and differential expressed proteins of the study, Table S5 contains differential expressed proteins. Conclusion: In our study, we conducted both GO analysis and KEGG analysis. Hippocampus is known for it's role in learning and memory. These activated GOs with respect to subfield CA1 could give us new directions for future research. The limitations of the study include a lack of validation dataset. |
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Subject |
Medicine, Health and Life Sciences
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Contributor |
Ghosh, Animikha
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