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

Combinatorial analyses reveal cellular composition changes have different impacts on transcriptomic changes of cell type specific genes in Alzheimer’s Disease

11 Jan 2021

Abstract excerpt

Alzheimer's disease (AD) brains are characterized by progressive neuron loss and gliosis. Previous studies of gene expression using bulk tissue samples often fail to consider changes in cell-type composition when comparing AD versus control, which can lead to differences in expression levels that are not due to transcriptional regulation. We mined five large transcriptomic AD datasets for conserved gene...

Read the complete abstract on PubMed

Topics

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

Share to Alzheimer's disease research and treatments
Share to Bioinformatics and Genomic Networks
Share to Neuroinflammation and Neurodegeneration Mechanisms

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 33432017
DOI: 10.1038/s41598-020-79740-x

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 3 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Combinatorial analyses reveal cellular composition changes have different impacts on transcriptomic changes of cell type specific genes in Alzheimer’s DiseasePMID 33432017Read ↗

Combinatorial analyses reveal cellular composition changes have different impacts on transcriptomic changes of cell type specific genes in Alzheimer’s DiseaseSemantic proximity Read ↗

Combinatorial analyses reveal cellular composition changes have different impacts on transcriptomic changes of cell type specific genes in Alzheimer’s DiseaseSemantic proximity Read ↗

Integrative genomics approach identifies conserved transcriptomic networks in Alzheimer’s diseaseSemantic proximity Read ↗

Systematic Analysis of Biological Processes Reveals Gene Co-expression Modules Driving Pathway Dysregulation in Alzheimer’s DiseaseSemantic proximity Read ↗

Single-cell multiomics reveals disrupted glial gene regulatory programs in Alzheimer’s disease via interpretable machine learningSemantic proximity Read ↗

A single cell brain atlas in human Alzheimer’s diseaseSemantic proximity Read ↗

Genes and pathways underlying regional and cell type changes in Alzheimer's diseaseSemantic proximity Read ↗

Gene module-trait network analysis uncovers cell type specific systems and genes relevant to Alzheimer’s DiseaseSemantic proximity Read ↗

Integrative genomics approach identifies conserved transcriptomic networks in Alzheimer’s diseaseSemantic proximity Read ↗

Systematic assessment of the biological impact of cellular deconvolution on downstream analyses of disease transcriptomesSemantic proximity Read ↗

Single-cell network biology characterizes cell type gene regulation for drug repurposing and phenotype prediction in Alzheimer’s diseaseSemantic proximity Read ↗

Single-cell network biology characterizes cell type gene regulation for drug repurposing and phenotype prediction in Alzheimer's disease.Semantic proximity Read ↗

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