Evidence map›Paper›PMID 35831314›Full record

ArticleNature communications2022

Scalable multiplex co-fractionation/mass spectrometry platform for accelerated protein interactome discovery.

Pierre C Havugimana, Raghuveera Kumar Goel, Sadhna Phanse, Ahmed Youssef, Dzmitry Padhorny, Sergei Kotelnikov, Dima Kozakov, Andrew Emili

Abstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 1 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

54 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Dynamic expression of lamin B1 during adult neurogenesis in the vertebrate brain.Developmental dynamics : an official publication of the American Association of Anatomists · 2026
    Article
  14. Article
  15. Article
  16. Article
  17. Identification of Virus-Host Interactions.Advances in experimental medicine and biology · 2026
    Review
  18. Article
  19. Review
  20. Article
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.

Pierre C Havugimana *Center for Network Systems Biology, Boston University, Boston, MA, USA.
Raghuveera Kumar Goel *Center for Network Systems Biology, Boston University, Boston, MA, USA.
Sadhna PhanseCenter for Network Systems Biology, Boston University, Boston, MA, USA.
Ahmed YoussefCenter for Network Systems Biology, Boston University, Boston, MA, USA.
Dzmitry PadhornyLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY, USA.
Sergei KotelnikovDepartment of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY, USA.ORCID 0000-0001-9400-101X
Dima KozakovLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY, USA.
Andrew EmiliCenter for Network Systems Biology, Boston University, Boston, MA, USA. aemili@bu.edu.ORCID 0000-0001-8995-246X

Funding

Mapping Protein Interaction Networks Essential for Gonococcal PathogenesisR01AI146941 · NIAID · OREGON HEALTH & SCIENCE UNIVERSITY · PI EMILI, ANDREW, GRAY-OWEN, SCOTT D · 2021 to 2025
$3.0M
Multiscale analysis of metabolic inflammation as a driver of breast cancerU01CA243004 · NCI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI DENIS, GERALD V, EMILI, ANDREW · 2020 to 2024
$2.8M
Simulation of Multi-Protein systemsR01GM140098 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI KOZAKOV, DMYTRO · 2021 to 2024
$1.4M
NCI NIH HHS U01 CA243004NIAID NIH HHS R01 AI146941NIGMS NIH HHS R01 GM140098
6 · The paper itself

Abstract

Co-fractionation/mass spectrometry (CF/MS) enables the mapping of endogenous macromolecular networks on a proteome scale, but current methods are experimentally laborious, resource intensive and afford lesser quantitative accuracy. Here, we present a technically efficient, cost-effective and reproducible multiplex CF/MS (mCF/MS) platform for measuring and comparing, simultaneously, multi-protein assemblies across different experimental samples at a rate that is up to an order of magnitude faster than previous approaches. We apply mCF/MS to map the protein interaction landscape of non-transformed mammary epithelia versus breast cancer cells in parallel, revealing large-scale differences in protein-protein interactions and the relative abundance of associated macromolecules connected with cancer-related pathways and altered cellular processes. The integration of multiplexing capability within an optimized workflow renders mCF/MS as a powerful tool for systematically exploring physical interaction networks in a comparative manner.

Indexed as

ProteomeProteomicsChemical FractionationMass SpectrometryWorkflowProteome

Identifiers

PMID35831314
PMCPMC9279285

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.