Evidence map›Paper›PMID 32603655›Full record

ArticleNeuron2020

Selective Neuronal Vulnerability in Alzheimer's Disease: A Network-Based Analysis.

Jean-Pierre Roussarie, Vicky Yao, Patricia Rodriguez-Rodriguez, Rose Oughtred, Jennifer Rust, Zakary Plautz, Shirin Kasturia, Christian Albornoz, Wei Wang, Eric F Schmidt and 11 more

Open access · hybridAbstract read
In one paragraph

Article in Neuron, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 107 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
107citing papers in PubMed, 1 pooled it
8.6field-weighted citation impact, top 1% 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

107 citing papers in PubMed, 1 synthesis or guideline pooled it, 187 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Review
  6. Review
  7. Mapping cross-domain drivers of Alzheimer's disease risk through integrated network analysis.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
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  16. APOE-Targeted Therapeutics for Alzheimer's Disease.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Review
  17. Article
  18. Article
  19. Article
  20. Article

47 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors at 5 institutions in 2 countries.

Jean-Pierre RoussarieLaboratory of Molecular and Cellular Neuroscience, The Rockefeller University, New York, NY 10065, USA. Electronic address: jroussarie@rockefeller.edu.
Vicky YaoDepartment of Computer Science, Rice University, Houston, TX 77005, USA; Department of Computer Science, Princeton University, Princeton, NJ 08544, USA; Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA.
Patricia Rodriguez-RodriguezLaboratory of Molecular and Cellular Neuroscience, The Rockefeller University, New York, NY 10065, USA; Department of Neurobiology, Care Sciences and Society, Division of Neurogeriatrics, Karolinska Institutet, 171 77 Solna, Sweden.
Rose OughtredLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA.
Jennifer RustLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA.
Zakary PlautzLaboratory of Molecular and Cellular Neuroscience, The Rockefeller University, New York, NY 10065, USA.
Shirin KasturiaLaboratory of Molecular and Cellular Neuroscience, The Rockefeller University, New York, NY 10065, USA.
Christian AlbornozLaboratory of Molecular and Cellular Neuroscience, The Rockefeller University, New York, NY 10065, USA.
Wei WangLaboratory of Molecular and Cellular Neuroscience, The Rockefeller University, New York, NY 10065, USA.
Eric F SchmidtLaboratory of Molecular Biology, The Rockefeller University, New York, NY 10065, USA.
Ruth DannenfelserDepartment of Computer Science, Princeton University, Princeton, NJ 08544, USA; Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA.
Alicja TadychLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA.
Lars BrichtaLaboratory of Molecular and Cellular Neuroscience, The Rockefeller University, New York, NY 10065, USA.
Alona Barnea-CramerLaboratory of Molecular and Cellular Neuroscience, The Rockefeller University, New York, NY 10065, USA.
Nathaniel HeintzLaboratory of Molecular Biology, The Rockefeller University, New York, NY 10065, USA.
Patrick R HofNash Family Department of Neuroscience, Ronald M. Loeb Center for Alzheimer's Disease, and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Myriam HeimanDepartment of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, USA; Picower Institute for Learning and Memory, Cambridge, MA 02139, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Kara DolinskiLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA.
Marc FlajoletLaboratory of Molecular and Cellular Neuroscience, The Rockefeller University, New York, NY 10065, USA.
Olga G TroyanskayaDepartment of Computer Science, Princeton University, Princeton, NJ 08544, USA; Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA; Flatiron Institute, Simons Foundation, New York, NY 10010, USA. Electronic address: ogt@cs.princeton.edu.
Paul GreengardLaboratory of Molecular and Cellular Neuroscience, The Rockefeller University, New York, NY 10065, USA.
Rockefeller University · USPrinceton University · USAllen Institute for Brain Science · USBroad Institute · USKarolinska Institutet · SE

Funding

VESICULAR LOCALIZATION AND FUNCTION OF PRESENILIN 1 FRAGMENTP50AG005138 · NIA · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI GROSSMAN, HILLEL · 1985 to 2019
$37.9M
BioGRID: An open resource for biological interactions and network analysisR01OD010929 · OD · SINAI HEALTH SYSTEM · PI KARA DOLINSKI, Mike Tyers · 2012 to 2026
$13.9M
Quantitavie and Computational Biology Graduate ProgramT32HG003284 · NHGRI · PRINCETON UNIVERSITY · PI Joshua Michael Akey, Stanislav Y. Shvartsman · 2004 to 2026
$9.9M
lntegration and Visualization of Diverse Biological DataR01GM071966 · NIGMS · PRINCETON UNIVERSITY · PI TROYANSKAYA, OLGA G · 2005 to 2022
$6.4M
Generation of Human iPSC-derived Entorhinal Cortex Neurons for Probing Selective Neuronal Vulnerability in Alzheimer's DiseaseRF1AG054564 · NIA · ROCKEFELLER UNIVERSITY · PI ROUSSARIE, JEAN-PIERRE · 2017 to 2019
$4.1M
SELECTIVE CELL VULNERABILITY IN ALZHEIMERS DISEASE (AG09464-21A1 PROJ4)RF1AG047779 · NIA · ROCKEFELLER UNIVERSITY · PI ROUSSARIE, JEAN-PIERRE · 2014 to 2014
$2.0M
Molecular phenotyping of cortical cell types in multiple rodent models of ALSR01NS091722 · NINDS · ROCKEFELLER UNIVERSITY · PI SCHMIDT, ERIC F · 2016 to 2020
$1.9M
Howard Hughes Medical InstituteNHGRI NIH HHS T32 HG003284NIA NIH HHS P50 AG005138NIA NIH HHS RF1 AG047779NIA NIH HHS RF1 AG054564NIGMS NIH HHS R01 GM071966NIH HHS R01 OD010929NINDS NIH HHS R01 NS091722
6 · The paper itself

Abstract

A major obstacle to treating Alzheimer's disease (AD) is our lack of understanding of the molecular mechanisms underlying selective neuronal vulnerability, a key characteristic of the disease. Here, we present a framework integrating high-quality neuron-type-specific molecular profiles across the lifetime of the healthy mouse, which we generated using bacTRAP, with postmortem human functional genomics and quantitative genetics data. We demonstrate human-mouse conservation of cellular taxonomy at the molecular level for neurons vulnerable and resistant in AD, identify specific genes and pathways associated with AD neuropathology, and pinpoint a specific functional gene module underlying selective vulnerability, enriched in processes associated with axonal remodeling, and affected by amyloid accumulation and aging. We have made all cell-type-specific profiles and functional networks available at http://alz.princeton.edu. Overall, our study provides a molecular framework for understanding the complex interplay between Aβ, aging, and neurodegeneration within the most vulnerable neurons in AD.

Indexed as

Machine LearningTranscriptomeAgingAlzheimer DiseaseAnimalsGene Expression ProfilingGene Regulatory NetworksHumansMiceNeuronsAlzheimer's diseasebacTRAPmachine learningnetworkPTBP1selective neuronal vulnerability

Identifiers

PMID32603655
PMCPMC7580783
OpenAlexW3037608718

What OpenQuestion holds

Textmetadata
LicenceTDM
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.