Evidence map›Paper›PMID 37059743›Full record

ArticleScientific data2023

A peptide-centric quantitative proteomics dataset for the phenotypic assessment of Alzheimer's disease.

Gennifer E Merrihew, Jea Park, Deanna Plubell, Brian C Searle, C Dirk Keene, Eric B Larson, Randall Bateman, Richard J Perrin, Jasmeer P Chhatwal, Martin R Farlow and 6 more

Abstract readDataset
In one paragraph

Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
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  10. AUGMENTED DOUBLY ROBUST POST-IMPUTATION INFERENCE FOR PROTEOMIC DATA.bioRxiv : the preprint server for biology · 2025
    Article
  11. Article
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  15. A framework for quality control in quantitative proteomics.bioRxiv : the preprint server for biology · 2024
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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

16 authors.

Gennifer E MerrihewDepartment of Genome Sciences, University of Washington, Seattle, Washington, 98195, USA.ORCID 0000-0003-4903-0318
Jea ParkDepartment of Genome Sciences, University of Washington, Seattle, Washington, 98195, USA.
Deanna PlubellDepartment of Genome Sciences, University of Washington, Seattle, Washington, 98195, USA.
Brian C SearleDepartment of Biomedical Informatics, The Ohio State University, Columbus, Ohio, 43210, USA.
C Dirk KeeneDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, 98195, USA.ORCID 0000-0002-5291-1469
Eric B LarsonDepartment of Medicine, University of Washington, Seattle, Washington, 98195, USA.
Randall BatemanDepartment of Neurology, Washington University School of Medicine, 660 South Euclid Avenue, Box 8111, St. Louis, Missouri, 63110, USA.ORCID 0000-0002-7729-1702
Richard J PerrinDepartment of Pathology, Washington University School of Medicine, 660 South Euclid Avenue, Box 8111, St. Louis, Missouri, 63110, USA.
Jasmeer P ChhatwalMassachusetts General Hospital, Department of Neurology, Harvard Medical School, 15 Parkman St, Suite 835, Boston, Massachusetts, 02114, USA.
Martin R FarlowDepartment of Neurology, Indiana University School of Medicine, Indianapolis, Indiana, 46202, USA.
Catriona A McLeanDepartment of Anatomical Pathology, Alfred Health, Melbourne, VIC, 3004, Australia.
Bernardino GhettiDepartment of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, Indiana, 46202, USA.
Kathy L NewellDepartment of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, Indiana, 46202, USA.
Matthew P FroschC.S. Kubik Laboratory for Neuropathology, and Massachusetts Alzheimer Disease Research Center, Massachusetts General Hospital, Boston, Massachusetts, 02114, USA.
Thomas J MontineDepartment of Pathology, Stanford University, Stanford, CA, 94305, USA. tmontine@stanford.edu.
Michael J MacCossDepartment of Genome Sciences, University of Washington, Seattle, Washington, 98195, USA. maccoss@uw.edu.ORCID 0000-0003-1853-0256

Funding

Translational pharmacoepidemiology: neuroprotection and neurotoxicity of antihypertensives and strong anticholinergicsU19AG066567 · NIA · KAISER FOUNDATION RESEARCH INSTITUTE · PI Christine L MacDonald · 2021 to 2026
$80.4M
Imaging CoreU19AG032438 · NIA · WASHINGTON UNIVERSITY · PI BATEMAN, RANDALL J · 2010 to 2025
$53.9M
Research Education ComponentP30AG062421 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI Sudeshna Das · 2019 to 2026
$36.5M
University of Washington Alzheimer's Disease Research CenterP30AG066509 · NIA · UNIVERSITY OF WASHINGTON · PI Amanda D. Boyd · 2020 to 2026
$29.0M
Dominantly Inherited Alzheimer NetworkUF1AG032438 · NIA · WASHINGTON UNIVERSITY · PI BATEMAN, RANDALL J · 2014 to 2017
$21.6M
Project 4: Novel reagent development to enable molecular characterizationU19AG065156 · NIA · UNIVERSITY OF WASHINGTON · PI TIAN, LU · 2020 to 2024
$15.9M
Investigating regional and cellular vulnerabilities to tau pathology in young-onset Alzheimer's diseaseR01AG075802 · NIA · MAYO CLINIC JACKSONVILLE · PI BERNARDINO Francesco GHETTI, Lea Tenenholz Grinberg · 2022 to 2026
$15.5M
Molecular Phenotyping in Alzheimer's DiseaseRF1AG053959 · NIA · STANFORD UNIVERSITY · PI LARSON, ERIC B, MACCOSS, MICHAEL · 2016 to 2017
$4.1M
Proteolytic activity profiling of Alzheimer's dementiaF31AG069420 · NIA · UNIVERSITY OF WASHINGTON · PI PLUBELL, DEANNA LISA · 2020 to 2021
$81k
NIA NIH HHS F31 AG069420NIA NIH HHS P30 AG062421NIA NIH HHS P30 AG066509NIA NIH HHS R01 AG075802NIA NIH HHS RF1 AG053959NIA NIH HHS U19 AG032438NIA NIH HHS U19 AG065156NIA NIH HHS U19 AG066567NIA NIH HHS UF1 AG032438
6 · The paper itself

Abstract

Alzheimer's disease (AD) is a looming public health disaster with limited interventions. Alzheimer's is a complex disease that can present with or without causative mutations and can be accompanied by a range of age-related comorbidities. This diverse presentation makes it difficult to study molecular changes specific to AD. To better understand the molecular signatures of disease we constructed a unique human brain sample cohort inclusive of autosomal dominant AD dementia (ADD), sporadic ADD, and those without dementia but with high AD histopathologic burden, and cognitively normal individuals with no/minimal AD histopathologic burden. All samples are clinically well characterized, and brain tissue was preserved postmortem by rapid autopsy. Samples from four brain regions were processed and analyzed by data-independent acquisition LC-MS/MS. Here we present a high-quality quantitative dataset at the peptide and protein level for each brain region. Multiple internal and external control strategies were included in this experiment to ensure data quality. All data are deposited in the ProteomeXchange repositories and available from each step of our processing.

Indexed as

Alzheimer DiseaseProteomicsBrainChromatography, LiquidHumansPeptidesTandem Mass SpectrometryPeptides

Identifiers

PMID37059743
PMCPMC10104800

What OpenQuestion holds

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Registered trials

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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.