Evidence map›Paper›PMID 33973408›Full record

ArticleMolecular systems biology2021

hu.MAP 2.0: integration of over 15,000 proteomic experiments builds a global compendium of human multiprotein assemblies.

Kevin Drew, John B Wallingford, Edward M Marcotte

Abstract read
In one paragraph

Article in Molecular systems biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
81citing papers in PubMed, 2 pooled it
–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

81 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  13. Proteome-wide AlphaFold pool party.Molecular systems biology · 2026
    Article
  14. Article
  15. Article
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  18. Artificially intelligent modeling of macromolecular assemblies.Frontiers in molecular biosciences · 2026
    Review
  19. Identification of Virus-Host Interactions.Advances in experimental medicine and biology · 2026
    Review
  20. Article

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

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

3 authors.

Kevin DrewDepartment of Molecular Biosciences, Center for Systems and Synthetic Biology, University of Texas, Austin, TX, USA.ORCID 0000-0002-1260-4413
John B WallingfordDepartment of Molecular Biosciences, Center for Systems and Synthetic Biology, University of Texas, Austin, TX, USA.
Edward M MarcotteDepartment of Molecular Biosciences, Center for Systems and Synthetic Biology, University of Texas, Austin, TX, USA.ORCID 0000-0001-8808-180X

Funding

Mapping the CPLANE interactome, an extensive protein interaction network underlying human ciliopathiesR01HD085901 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI EDWARD M MARCOTTE, John B Wallingford · 2016 to 2026
$6.2M
Proteomics and model organism humanization to decode human geneticsR35GM122480 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI EDWARD M MARCOTTE · 2017 to 2026
$5.4M
Development and function in mucociliary epitheliaR01HL117164 · NHLBI · UNIVERSITY OF TEXAS AT AUSTIN · PI John B Wallingford · 2013 to 2026
$4.7M
Molecular and cell biological basis of convergent extensionR01HD099191 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI John B Wallingford · 2020 to 2026
$2.7M
Discovery and characterization of novel ciliopathy protein complexesR00HD092613 · NICHD · UNIVERSITY OF ILLINOIS AT CHICAGO · PI DREW, KEVIN · 2021 to 2023
$732k
Mapping the blood cell protein complexosomeR01DK110520 · NIDDK · UNIVERSITY OF TEXAS AT AUSTIN · PI EMILI, ANDREW, MARCOTTE, EDWARD M · 2016 to 2018
$727k
Tissue-specific protein interactome mapping in a vertebrate embryoR21HD103882 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI MARCOTTE, EDWARD M, WALLINGFORD, JOHN B · 2020 to 2021
$429k
Discovery and characterization of novel ciliopathy protein complexesK99HD092613 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI DREW, KEVIN · 2017 to 2018
$200k
NHLBI NIH HHS R01 HL117164NICHD NIH HHS K99 HD092613NICHD NIH HHS L40 HD096554NICHD NIH HHS R00 HD092613NICHD NIH HHS R01 HD085901NICHD NIH HHS R01 HD099191NICHD NIH HHS R21 HD103882NIDDK NIH HHS R01 DK110520NIGMS NIH HHS R35 GM122480
6 · The paper itself

Abstract

A general principle of biology is the self-assembly of proteins into functional complexes. Characterizing their composition is, therefore, required for our understanding of cellular functions. Unfortunately, we lack knowledge of the comprehensive set of identities of protein complexes in human cells. To address this gap, we developed a machine learning framework to identify protein complexes in over 15,000 mass spectrometry experiments which resulted in the identification of nearly 7,000 physical assemblies. We show our resource, hu.MAP 2.0, is more accurate and comprehensive than previous state of the art high-throughput protein complex resources and gives rise to many new hypotheses, including for 274 completely uncharacterized proteins. Further, we identify 253 promiscuous proteins that participate in multiple complexes pointing to possible moonlighting roles. We have made hu.MAP 2.0 easily searchable in a web interface (http://humap2.proteincomplexes.org/), which will be a valuable resource for researchers across a broad range of interests including systems biology, structural biology, and molecular explanations of disease.

Indexed as

HumansMachine LearningMolecular Sequence AnnotationMultiprotein ComplexesProteomicsSystems BiologyMultiprotein Complexesdata integrationhuman protein complexesmass spectrometrymoonlighting proteins

Identifiers

PMID33973408
PMCPMC8111494

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.