Evidence map›Paper›PMID 34669146›Full record

ArticleMolecular neurobiology2022

Sex-Stratified Single-Cell RNA-Seq Analysis Identifies Sex-Specific and Cell Type-Specific Transcriptional Responses in Alzheimer's Disease Across Two Brain Regions.

Stella A Belonwu, Yaqiao Li, Daniel Bunis, Arjun Arkal Rao, Caroline Warly Solsberg, Alice Tang, Gabriela K Fragiadakis, Dena B Dubal, Tomiko Oskotsky, Marina Sirota

Open access · hybridAbstract read
In one paragraph

Article in Molecular neurobiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
3.2field-weighted citation impact, top 7% of its field
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

37 citing papers in PubMed, 52 citations in OpenAlex.

  1. Article
  2. Article
  3. Single-cell transcriptomic analysis reveals APOE genotype-dependent sex differences in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  4. Review
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  6. Article
  7. Single-cell landscape of sex-specific drivers of Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
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  10. Review
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  13. Observational
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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

10 authors at 1 institution in 1 country.

Stella A Belonwu *Bakar Computational Health Sciences Institute, University of California San Francisco, 490 Illinois St, San Francisco, CA, 94143, USA.
Yaqiao Li *Bakar Computational Health Sciences Institute, University of California San Francisco, 490 Illinois St, San Francisco, CA, 94143, USA.
Daniel BunisBakar Computational Health Sciences Institute, University of California San Francisco, 490 Illinois St, San Francisco, CA, 94143, USA.
Arjun Arkal RaoCoLabs, University of California, San Francisco, San Francisco, CA, USA.
Caroline Warly SolsbergBakar Computational Health Sciences Institute, University of California San Francisco, 490 Illinois St, San Francisco, CA, 94143, USA.
Alice TangBakar Computational Health Sciences Institute, University of California San Francisco, 490 Illinois St, San Francisco, CA, 94143, USA.
Gabriela K FragiadakisCoLabs, University of California, San Francisco, San Francisco, CA, USA.
Dena B DubalBiomedical Sciences Graduate Program, University of California, San Francisco, San Francisco, CA, USA.
Tomiko OskotskyBakar Computational Health Sciences Institute, University of California San Francisco, 490 Illinois St, San Francisco, CA, 94143, USA.
Marina SirotaBakar Computational Health Sciences Institute, University of California San Francisco, 490 Illinois St, San Francisco, CA, 94143, USA. marina.sirota@ucsf.edu.ORCID http://orcid.org/0000-0002-7246-6083
University of California, San Francisco · US

Funding

MOLECULAR AND CELLULAR IMMUNOLOGYT32AI007334 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CYSTER, JASON G · 1988 to 2023
$11.0M
ApoE Genotype-Directed Drug Repositioning and Combination Therapy for Alzheimer's DiseaseR01AG057683 · NIA · J. DAVID GLADSTONE INSTITUTES · PI HUANG, YADONG, SIROTA, MARINA · 2017 to 2021
$4.3M
An Integrative Multi-Omics Approach to Elucidate Sex-Specific Differences in Alzheimers DiseaseR01AG060393 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SIROTA, MARINA · 2018 to 2022
$4.1M
NIAID NIH HHS T32 AI007334NIA NIH HHS R01 AG057683NIA NIH HHS R01 AG060393
6 · The paper itself

Abstract

Alzheimer's disease (AD) is a pervasive neurodegenerative disorder that disproportionately affects women. Since neural anatomy and disease pathophysiology differ by sex, investigating sex-specific mechanisms in AD pathophysiology can inform new therapeutic approaches for both sexes. Previous bulk human brain RNA sequencing studies have revealed sex differences in dysregulated molecular pathways related to energy production, neuronal function, and immune response; however, the sex differences in disease mechanisms are yet to be examined comprehensively on a single-cell level. We leveraged nearly 74,000 cells from human prefrontal and entorhinal cortex samples from the first two publicly available single-cell RNA sequencing AD datasets to perform a case versus control sex-stratified differential gene expression analysis and pathway network enrichment in a cell type-specific manner for each brain region. Our examination at the single-cell level revealed sex differences in AD prominently in glial cells of the prefrontal cortex. In the entorhinal cortex, we observed the same genes and networks to be perturbed in opposing directions between sexes in AD relative to healthy state. Our findings contribute to growing evidence of sex differences in AD-related transcriptomic changes, which can fuel the development of therapies that may prove more effective at reversing AD pathophysiology.

Indexed as

AgedAged, 80 and overAlzheimer DiseaseEntorhinal CortexFemaleHumansMaleNeuronsPrefrontal CortexSequence Analysis, RNASex FactorsSingle-Cell AnalysisTranscription, GeneticTranscriptomeAlzheimer’s diseaseRNA sequencingSex differencesSingle-cell

Identifiers

PMID34669146
PMCPMC8786804
OpenAlexW3158101566

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.