Evidence map›Paper›PMID 36447241›Full record

ReviewGenome medicine2022

Cell type-specific changes identified by single-cell transcriptomics in Alzheimer's disease.

Tain Luquez, Pallavi Gaur, Ivy M Kosater, Matti Lam, Dylan I Lee, Jason Mares, Fahad Paryani, Archana Yadav, Vilas Menon

Abstract readReview
In one paragraph

Review in Genome medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Article
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  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Cerebrospinal fluid proteomics for predictive assessment of Alzheimer's Disease risk.medRxiv : the preprint server for health sciences · 2025
    Article
  13. Article
  14. Review
  15. Review
  16. Astrocyte and oligodendrocyte pathology in Alzheimer's disease.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2025
    Review
  17. Article
  18. Review
  19. Article
  20. Spatial Transcriptomic Analysis Identifies abioRxiv : the preprint server for biology · 2024
    Article
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.

Tain LuquezCenter for Translational & Computational Immunology, Department of Neurology and Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA.
Pallavi GaurCenter for Translational & Computational Immunology, Department of Neurology and Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA.
Ivy M KosaterCenter for Translational & Computational Immunology, Department of Neurology and Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA.
Matti LamCenter for Translational & Computational Immunology, Department of Neurology and Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA.
Dylan I LeeCenter for Translational & Computational Immunology, Department of Neurology and Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA.
Jason MaresCenter for Translational & Computational Immunology, Department of Neurology and Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA.
Fahad ParyaniCenter for Translational & Computational Immunology, Department of Neurology and Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA.
Archana YadavCenter for Translational & Computational Immunology, Department of Neurology and Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA.
Vilas MenonCenter for Translational & Computational Immunology, Department of Neurology and Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA. vm2545@cumc.columbia.edu.ORCID 0000-0002-4096-8601

Funding

Data Analysis CoreU54AG076040 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI OWENS, DAVID MICHAEL · 2021 to 2025
$13.1M
Elucidating changes in astrocyte subpopulations associated with resistance to Alzheimers Disease pathology in multi-ethnic cohortsR01AG066831 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MENON, VILAS · 2020 to 2024
$3.3M
Identifying shared and distinct cell type vulnerability across neurological diseases.R21AG075754 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI AL DALAHMAH, OSAMA, GOLDMAN, JAMES · 2022 to 2022
$446k
NIA NIH HHS R01 AG066831NIA NIH HHS R21 AG075754NIA NIH HHS U54 AG076040
6 · The paper itself

Abstract

The rapid advancement of single-cell transcriptomics in neurology has allowed for profiling of post-mortem human brain tissue across multiple diseases. Over the past 3 years, several studies have examined tissue from donors with and without diagnoses of Alzheimer's disease, highlighting key changes in cell type composition and molecular signatures associated with pathology and, in some cases, cognitive decline. Although all of these studies have generated single-cell/nucleus RNA-seq or ATAC-seq data from the full array of major cell classes in the brain, they have each focused on changes in specific cell types. Here, we synthesize the main findings from these studies and contextualize them in the overall space of large-scale omics studies of Alzheimer's disease. Finally, we touch upon new horizons in the field, in particular advancements in high-resolution spatial interrogation of tissue and multi-modal efforts-and how they are likely to further advance mechanistic and target-selection studies on Alzheimer's disease.

Indexed as

Alzheimer DiseaseCognitive DysfunctionAutopsyBrainHumansTranscriptome

Identifiers

PMID36447241
PMCPMC9710120

What OpenQuestion holds

Textmetadata
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.