Evidence map›Paper›PMID 39294270›Full record

ArticleCommunications biology2024

Transcriptional profiling in microglia across physiological and pathological states identifies a transcriptional module associated with neurodegeneration.

Aysegul Guvenek, Neelroop Parikshak, Daria Zamolodchikov, Sahar Gelfman, Arden Moscati, Lee Dobbyn, Eli Stahl, Alan Shuldiner, Giovanni Coppola

Abstract read
In one paragraph

Article in Communications biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Aysegul GuvenekRegeneron Genetics Center, Tarrytown, NY, USA.
Neelroop ParikshakRegeneron Genetics Center, Tarrytown, NY, USA.ORCID 0000-0003-2027-1871
Daria ZamolodchikovRegeneron Pharmaceuticals Inc., Tarrytown, NY, USA.
Sahar GelfmanRegeneron Genetics Center, Tarrytown, NY, USA.
Arden MoscatiRegeneron Genetics Center, Tarrytown, NY, USA.
Lee DobbynRegeneron Genetics Center, Tarrytown, NY, USA.
Eli StahlRegeneron Genetics Center, Tarrytown, NY, USA.ORCID 0000-0002-1192-0561
Alan ShuldinerRegeneron Genetics Center, Tarrytown, NY, USA.ORCID 0000-0001-9921-4305
Giovanni CoppolaRegeneron Genetics Center, Tarrytown, NY, USA. giovanni.coppola@regeneron.com.ORCID 0000-0003-2105-1061

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microglia are the resident immune cells of the central nervous system and are involved in brain development, homeostasis, and disease. New imaging and genomics technologies are revealing microglial complexity across developmental and functional states, brain regions, and diseases. We curated a set of publicly available gene expression datasets from human microglia spanning disease and health to identify sets of genes reflecting physiological and pathological microglial states. We also integrated multiple human microglial single-cell RNA-seq datasets in Alzheimer's disease (AD), multiple sclerosis (MS), and Parkinson's disease, and identified a distinct microglial transcriptional signature shared across diseases. Analysis of germ-line DNA identified genes with variants associated with AD and MS that are overrepresented in microglial gene sets, including the disease-associated transcriptional signature. This work points to genes that are dysregulated in disease states and provides a resource for the analysis of diseases in which microglia are implicated by genetic evidence.

Indexed as

Gene Expression ProfilingMicrogliaAlzheimer DiseaseGene Regulatory NetworksHumansMultiple SclerosisNeurodegenerative DiseasesParkinson DiseaseSingle-Cell AnalysisTranscriptome

Identifiers

PMID39294270
PMCPMC11411103

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.