Evidence map›Paper›PMID 33434350›Full record

ReviewMolecular systems biology2021

Mass spectrometry-based protein-protein interaction networks for the study of human diseases.

Alicia L Richards, Manon Eckhardt, Nevan J Krogan

Open access · goldAbstract readReview
In one paragraph

Review 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 113 papers.

0numbers the graph read from it
0cells of the map it votes in
113citing papers in PubMed
16.6field-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

113 citing papers in PubMed, 198 citations in OpenAlex.

  1. Article
  2. Review
  3. Proteomics-Driven Strategies for Proximity-Inducing Drug Discovery.Angewandte Chemie (International ed. in English) · 2026
    Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Genetic landscape of cancer: mechanisms, key genes, and therapeutic implications.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
  11. Article
  12. Using Biological Networks to Guide Biomedical Prediction.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Review
  18. Review
  19. Article
  20. Article

53 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 at 1 institution in 1 country.

Alicia L RichardsQuantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.ORCID 0000-0002-4869-2945
Manon EckhardtQuantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.ORCID 0000-0001-8143-6129
Nevan J KroganQuantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.ORCID 0000-0003-4902-337X
Gladstone Institutes · US

Funding

SARS-CoV adaptations through a Systems Biology Lens (SYBIL)U19AI135972 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Adolfo Garcia-Sastre · 2018 to 2026
$27.2M
RESEARCH PROJECT 2U19AI135990 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Melanie Maria Ott · 2018 to 2026
$21.4M
The Psychiatric Cell Map Initiative: Connecting Genomics, Subcellular Networks, and Higher Order PhenotypesU01MH115747 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KAMPMANN, MARTIN, KROGAN, NEVAN J · 2018 to 2022
$19.6M
X-ray Screening and Rapid Structure DeterminationP50AI150476 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI EMERMAN, MICHAEL · 2019 to 2021
$14.4M
Project 3: Control of cardiac transcription by MEF2 and myocardinP01HL146366 · NHLBI · J. DAVID GLADSTONE INSTITUTES · PI BLACK, BRIAN L · 2019 to 2023
$13.7M
Using Networks to Seed Hierarchical Whole-cell Models of CancerU54CA209891 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI IDEKER, TREY · 2017 to 2021
$10.9M
Project 3: Autophagy dysfunction and neuronal activity in FTDU54NS100717 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI KOSIK, KENNETH STEPHEN · 2016 to 2020
$10.8M
Proteomic and Genetic Approaches Defining Apolipoprotein E4 Neuropathologic MechanismsRF1AG059751 · NIA · J. DAVID GLADSTONE INSTITUTES · PI KROGAN, NEVAN J, MAHLEY, ROBERT W. · 2019 to 2019
$4.7M
Novel VP30-host Interactions that Negatively Regulate Ebola Virus InfectionR01AI143292 · NIAID · WASHINGTON UNIVERSITY · PI AMARASINGHE, GAYA K., BASLER, CHRISTOPHER F · 2019 to 2023
$4.0M
NCI NIH HHS U54 CA209891NHLBI NIH HHS P01 HL146366NIAID NIH HHS P50 AI150476NIAID NIH HHS R01 AI143292NIAID NIH HHS U19 AI135972NIAID NIH HHS U19 AI135990NIA NIH HHS RF1 AG059751NIMH NIH HHS U01 MH115747NINDS NIH HHS U54 NS100717
6 · The paper itself

Abstract

A better understanding of the molecular mechanisms underlying disease is key for expediting the development of novel therapeutic interventions. Disease mechanisms are often mediated by interactions between proteins. Insights into the physical rewiring of protein-protein interactions in response to mutations, pathological conditions, or pathogen infection can advance our understanding of disease etiology, progression, and pathogenesis and can lead to the identification of potential druggable targets. Advances in quantitative mass spectrometry (MS)-based approaches have allowed unbiased mapping of these disease-mediated changes in protein-protein interactions on a global scale. Here, we review MS techniques that have been instrumental for the identification of protein-protein interactions at a system-level, and we discuss the challenges associated with these methodologies as well as novel MS advancements that aim to address these challenges. An overview of examples from diverse disease contexts illustrates the potential of MS-based protein-protein interaction mapping approaches for revealing disease mechanisms, pinpointing new therapeutic targets, and eventually moving toward personalized applications.

Indexed as

Gene Regulatory NetworksDiseaseHumansMass SpectrometryProtein Interaction Mappingaffinity purificationmass spectrometrynetworksprotein-protein interactionsproximity labeling

Identifiers

PMID33434350
PMCPMC7803364
OpenAlexW3119506213

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.