Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Studying the differential co-expression of microRNAs reveals significant role of white matter in early Alzheimer's progression.

Molecular bioSystems - 1 Mar 2013

Bhattacharyya Malay, Bandyopadhyay Sanghamitra

Abstract excerpt

MicroRNAs (miRNAs) are a class of short non-coding RNAs, which show tissue-specific regulatory activity on genes. Expression profiling of miRNAs is an important step for understanding the pathology of Alzheimer's disease (AD), a neurodegenerative disorder originating in the brain. Recent studies...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Algorithms
Share to Alzheimer Disease
Share to Cerebral Cortex

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Disease Progression

Share to Gene Regulatory Networks

Share to Metabolic Networks and Pathways

Share to MicroRNAs

Share to Transcriptome

Source

Identifiers

PMID: 23344858
DOI: 10.1039/c2mb25434d

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026. Prepared record publication-23344858-2026-09-04.2. Manifest publication-graph-cohort-2026-09-04.2.

Source receipt: PubMed via Helena Literature Corpus, retrieved 4 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Studying the differential co-expression of microRNAs reveals significant role of white matter in early Alzheimer's progression.PMID 23344858Read ↗

Weighted Gene Co-expression Network Analysis Reveals Functionally Coherent Gene Networks Associated with Alzheimer’s Disease PathologySemantic proximity Read ↗

Weighted Gene Co-expression Network Analysis Identifies Specific Modules and Hub Genes Related to Alzheimer's DiseaseSemantic proximity Read ↗

A comprehensive analysis on preservation patterns of gene co-expression networks during Alzheimer’s disease progressionSemantic proximity Read ↗

Transcriptional dysregulation study reveals a core network involving the genesis for Alzheimer’s diseaseSemantic proximity Read ↗

Transcriptional Dysregulation Study Reveals a Core Network Involving the Progression of Alzheimer's DiseaseSemantic proximity Read ↗

Integrative Gene Co-expression Network Analysis Reveals Protein-Coding and lncRNA Genes Associated with Alzheimer’s Disease PathologySemantic proximity Read ↗

Evolutionary conservation and divergence of human brain co-expression networksSemantic proximity Read ↗

A composite network of conserved and tissue specific gene interactions reveals possible genetic interactions in glioma.Semantic proximity Read ↗

Modeling multifunctionality of genes with secondary gene co-expression networks in human brain provides novel disease insightsSemantic proximity Read ↗

Analysis of Alzheimer's disease severity across brain regions by topological analysis of gene co-expression networksSemantic proximity Read ↗

Variations in the transcriptome of Alzheimer's disease reveal molecular networks involved in cardiovascular diseases.Semantic proximity Read ↗

Whole transcriptomic network analysis using Co-expression Differential Network Analysis (CoDiNA).Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.