{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["74(3)"],"submitter":["Sen S"],"funding":["Saha Institute of Nuclear Physics"],"pubmed_abstract":["Recent studies on the regulatory networks implicated in Alzheimer's disease (AD) evince long non-coding RNAs (lncRNAs) as crucial regulatory players, albeit a poor understanding of the mechanism. Analyzing differential gene expression in the RNA-seq data from the post-mortem AD brain hippocampus, we categorized a list of AD-dysregulated lncRNA transcripts into functionally similar communities based on their k-mer profiles. Using machine-learning-based algorithms, their subcellular localizations were mapped. We further explored the functional relevance of each community through AD-dysregulated miRNA, RNA-binding protein (RBP) interactors, and pathway enrichment analyses. Further investigation of the miRNA-lncRNA and RBP-lncRNA networks from each community revealed the top RBPs, miRNAs, and "],"journal":["Journal of molecular neuroscience : MN"],"pagination":["77"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11324768"],"repository":["biostudies-literature"],"pubmed_title":["A Holistic Analysis of Alzheimer's Disease-Associated lncRNA Communities Reveals Enhanced lncRNA-miRNA-RBP Regulatory Triad Formation Within Functionally Segregated Clusters."],"pmcid":["PMC11324768"],"pubmed_authors":["Sen S","Mukhopadhyay D"],"additional_accession":[]},"is_claimable":false,"name":"A Holistic Analysis of Alzheimer's Disease-Associated lncRNA Communities Reveals Enhanced lncRNA-miRNA-RBP Regulatory Triad Formation Within Functionally Segregated Clusters.","description":"Recent studies on the regulatory networks implicated in Alzheimer's disease (AD) evince long non-coding RNAs (lncRNAs) as crucial regulatory players, albeit a poor understanding of the mechanism. Analyzing differential gene expression in the RNA-seq data from the post-mortem AD brain hippocampus, we categorized a list of AD-dysregulated lncRNA transcripts into functionally similar communities based on their k-mer profiles. Using machine-learning-based algorithms, their subcellular localizations were mapped. We further explored the functional relevance of each community through AD-dysregulated miRNA, RNA-binding protein (RBP) interactors, and pathway enrichment analyses. Further investigation of the miRNA-lncRNA and RBP-lncRNA networks from each community revealed the top RBPs, miRNAs, and ","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Aug","modification":"2026-06-02T09:15:19.926Z","creation":"2024-12-03T19:35:33.622Z"},"accession":"S-EPMC11324768","cross_references":{"pubmed":["39143264"],"doi":["10.1007/s12031-024-02244-0"]}}