Evidence map›Paper›PMID 36254161›Full record

ArticleAlzheimer's & dementia (New York, N. Y.)2022

The Alzheimer's Cell Atlas (TACA): A single-cell molecular map for translational therapeutics accelerator in Alzheimer's disease.

Yadi Zhou, Jielin Xu, Yuan Hou, Lynn Bekris, James B Leverenz, Andrew A Pieper, Jeffrey Cummings, Feixiong Cheng

Open access · goldAbstract read
In one paragraph

Article in Alzheimer's & dementia (New York, N. Y.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 2 pooled it
3.1field-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

34 citing papers in PubMed, 2 syntheses or guidelines pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. BDCD: a comprehensive Brain Disease Cell-cell communication Database.Database : the journal of biological databases and curation · 2026
    Article
  9. Review
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Utilization of precision medicine digital twins for drug discovery in Alzheimer's disease.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2025
    Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. Review
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

8 authors at 4 institutions in 1 country.

Yadi ZhouGenomic Medicine Institute Lerner Research Institute Cleveland Clinic Cleveland Ohio USA.
Jielin XuGenomic Medicine Institute Lerner Research Institute Cleveland Clinic Cleveland Ohio USA.
Yuan HouGenomic Medicine Institute Lerner Research Institute Cleveland Clinic Cleveland Ohio USA.
Lynn BekrisGenomic Medicine Institute Lerner Research Institute Cleveland Clinic Cleveland Ohio USA.
James B LeverenzDepartment of Molecular Medicine Cleveland Clinic Lerner College of Medicine Case Western Reserve University Cleveland Ohio USA.
Andrew A PieperHarrington Discovery Institute University Hospitals Cleveland Medical Center Cleveland Ohio USA.
Jeffrey CummingsChambers-Grundy Center for Transformative Neuroscience Pam Quirk Brain Health and Biomarker Laboratory Department of Brain Health School of Integrated Health Sciences University of Nevada Las Vegas Las Vegas Nevada USA.
Feixiong ChengGenomic Medicine Institute Lerner Research Institute Cleveland Clinic Cleveland Ohio USA.
Case Western Reserve University · USCleveland Clinic Lerner College of Medicine · USLou Ruvo Brain Institute · USUniversity of Nevada, Las Vegas · US

Funding

Trial-Ready Cohort for Preclinical/Prodromal Alzheimer's DiseaseR01AG053798 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI AISEN, PAUL S., CUMMINGS, JEFFREY L. · 2017 to 2022
$39.4M
Research Education ComponentP30AG072980 · NIA · BANNER HEALTH · PI HEATHER Allyson BIMONTE-NELSON · 2021 to 2026
$24.9M
Translational and Therapeutics CoreP30AG072959 · NIA · CLEVELAND CLINIC LERNER COM-CWRU · PI JAGAN AYYAPPAN PILLAI · 2021 to 2026
$23.9M
Renewal of Centers of Biomedical Research Excellence (COBRE) (Phase 2) CNTN - ResubmissionP20GM109025 · NIGMS · CLEVELAND CLINIC FOUNDATION · PI JESSICA KIRKLAND CALDWELL · 2015 to 2026
$22.8M
Chronic Traumatic Encephalopathy: Detection, Diagnosis, Course, and Risk FactorsU01NS093334 · NINDS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI CUMMINGS, JEFFREY L., REIMAN, ERIC MICHAEL · 2016 to 2022
$17.0M
Endophenotype Network-based Approaches to Prediction and Population-based Validation of In Silico Drug Repurposing for Alzheimer's DiseaseR01AG066707 · NIA · CLEVELAND CLINIC LERNER COM-CWRU · PI Feixiong Cheng · 2020 to 2026
$4.9M
TREM2 Genotype-Informed Drug Repurposing and Combination Therapy Design for Alzheimer’s DiseaseR01AG076448 · NIA · CLEVELAND CLINIC LERNER COM-CWRU · PI Feixiong Cheng, Li Gan · 2022 to 2026
$4.0M
Alzheimer's MultiOme Data Repurposing: Artificial Intelligence, Network Medicine, and Therapeutics DiscoveryU01AG073323 · NIA · CLEVELAND CLINIC LERNER COM-CWRU · PI BEKRIS, LYNN, CHENG, FEIXIONG · 2021 to 2025
$4.0M
Alzheimer's Clinical Trial InnOvatioN (ACTION) InitiativeR35AG071476 · NIA · UNIVERSITY OF NEVADA LAS VEGAS · PI CUMMINGS, JEFFREY L. · 2021 to 2025
$2.9M
Multimodal single-cell genomic and epigenomic analyses elucidate Alzheimer’s sexual dimorphism in human immune systems agingR56AG074001 · NIA · CLEVELAND CLINIC LERNER COM-CWRU · PI BEKRIS, LYNN, CHENG, FEIXIONG · 2021 to 2021
$1.2M
NIA NIH HHS P30 AG072959NIA NIH HHS P30 AG072980NIA NIH HHS R01 AG053798NIA NIH HHS R01 AG066707NIA NIH HHS R01 AG076448NIA NIH HHS R35 AG071476NIA NIH HHS R56 AG074001NIA NIH HHS U01 AG073323NIGMS NIH HHS P20 GM109025NINDS NIH HHS U01 NS093334
6 · The paper itself

Abstract

Introduction: Recent advances in generating massive single-cell/nucleus transcriptomic data have shown great potential for facilitating the identification of cell type-specific Alzheimer's disease (AD) pathobiology and drug-target discovery for therapeutic development. Methods: We developed The Alzheimer's Cell Atlas (TACA) by compiling an AD brain cell atlas consisting of over 1.1 million cells/nuclei across 26 data sets, covering major brain regions (hippocampus, cerebellum, prefrontal cortex, and so on) and cell types (astrocyte, microglia, neuron, oligodendrocytes, and so on). We conducted nearly 1400 differential expression comparisons to identify cell type-specific molecular alterations (e.g., case vs healthy control, sex-specific, apolipoprotein E ( Results: All results are integrated into TACA (https://taca.lerner.ccf.org/), a new web portal with cell type-specific, abundant transcriptomic information, and 12 interactive visualization tools for AD. Discussion: We envision that TACA will be a highly valuable resource for both basic and translational research in AD, as it provides abundant information for AD pathobiology and actionable systems biology tools for drug discovery. Highlights: We compiled an Alzheimer's disease (AD) brain cell atlas consisting of more than 1.1 million cells/nuclei transcriptomes from 26 data sets, covering major brain regions (cortex, hippocampus, cerebellum) and cell types (e.g., neuron, oligodendrocyte, astrocyte, and microglia).We conducted over 1400 differential expression (DE) comparisons to identify cell type-specific gene expression alterations. Major comparison types are (1) AD versus healthy control; (2) sex-specific DE, (3) genotype-driven DE (i.e., apolipoprotein E [

Indexed as

Alzheimer's diseasedatabasedrug repurposingnetwork pathobiologysingle‐cellsingle‐nucleustarget identificationtranscriptomics

Identifiers

PMID36254161
PMCPMC9558163
OpenAlexW4306729472

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.