Article

A meta-analysis of bulk RNA-seq datasets identifies potential biomarkers and repurposable therapeutics against Alzheimer’s disease

2023-09-19

Abstract excerpt

Alzheimer’s disease (AD) poses a major challenge due to its impact on the elderly population and the lack of effective early diagnosis and treatment options. In an effort to address this issue, a study focused on identifying potential biomarkers and therapeutic agents for AD was carried out. Using RNA-Seq data from AD patients and healthy individuals, 12 differentially expressed genes (DEGs) were identified, with...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 7cc9e219-d1c6-5a37-b48e-05c6ffef2bf5
DOI: 10.1101/2023.09.17.558173

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A meta-analysis of bulk RNA-seq datasets identifies potential biomarkers and repurposable therapeutics against Alzheimer’s diseaseDOI 10.1101/2023.09.17.558173Read

Systematic Analysis and Biomarker Study for Alzheimer’s DiseaseSemantic proximity Read

Identification of novel risk genes for Alzheimer's disease by integrating genetics from hippocampus.Semantic proximity Read

Integrative Transcriptomic Analysis Identifies Conserved Molecular Signatures and Drug Repurposing Candidates in Alzheimer’s DiseaseSemantic proximity Read

Systematic review and meta-analysis of bulk RNAseq studies in human Alzheimer’s disease brain tissueSemantic proximity Read

Exploratory Single-Cell RNA Sequencing of Peripheral Blood Identifies Candidate Signatures Associated with Alzheimer’s DiseaseSemantic proximity Read

Identification of biomarkers and pathways to identify novel therapeutic targets in Alzheimer’s disease: Insights from a systems biomedicine perspectiveSemantic proximity Read

AITeQ: A machine learning framework for Alzheimer’s prediction using a distinctive 5-gene signatureSemantic proximity Read

A Blood-Based Transcriptomic Algorithm and Scoring System for Alzheimer’s Disease DetectionSemantic proximity Read

Transcriptomics-Guided Multi-Cohort Machine Learning for Alzheimer’s Disease DiagnosisSemantic proximity Read

Identification of disulfidptosis-related genes and subgroups in Alzheimer’s diseaseSemantic proximity Read

Integrative single-cell RNA sequencing and mendelian randomization analysis reveal the potential role of synaptic vesicle cycling-related genes in Alzheimer's diseaseSemantic proximity Read

Analysis and experimental validation of necroptosis-related molecular classification, immune signature and feature genes in Alzheimer’s diseaseSemantic proximity Read