Evidence map›Paper›PMID 39453897›Full record

ArticleJournal of proteome research2024

Combining Quantitative Proteomics and Interactomics for a Deeper Insight into Molecular Differences between Human Cell Lines.

Anna A Bakhtina, Helisa H Wippel, Juan D Chavez, James E Bruce

Abstract read
In one paragraph

Article in Journal of proteome research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. State-of-the-Art and Future Directions in Structural Proteomics.Molecular & cellular proteomics : MCP · 2025
    Review
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Anna A BakhtinaDepartment of Genome Sciences, University of Washington, Seattle, Washington 98195, United States.ORCID 0000-0003-4550-1135
Helisa H WippelDepartment of Genome Sciences, University of Washington, Seattle, Washington 98195, United States.
Juan D ChavezDepartment of Genome Sciences, University of Washington, Seattle, Washington 98195, United States.
James E BruceDepartment of Genome Sciences, University of Washington, Seattle, Washington 98195, United States.ORCID 0000-0001-6441-6089

Funding

Quantitation of protein interactions in cancer cellsR01GM086688 · NIGMS · UNIVERSITY OF WASHINGTON · PI BRUCE, JAMES EDWARD · 2009 to 2019
$4.2M
Dynamics of the cellular interactomeR35GM136255 · NIGMS · UNIVERSITY OF WASHINGTON · PI James Edward Bruce · 2020 to 2026
$4.0M
The heart failure interactomeR01HL144778 · NHLBI · UNIVERSITY OF WASHINGTON · PI BRUCE, JAMES EDWARD · 2019 to 2022
$2.7M
Aging Mitochondrial InteractomeR01AG078279 · NIA · UNIVERSITY OF WASHINGTON · PI James Edward Bruce, David J. Marcinek · 2023 to 2026
$2.2M
NHLBI NIH HHS R01 HL144778NIA NIH HHS R01 AG078279NIGMS NIH HHS R01 GM086688NIGMS NIH HHS R35 GM136255
6 · The paper itself

Abstract

In modern biomedical research, cultivable cell lines are an indispensable tool, and the selection of cell lines that exhibit specific functional profiles is often critical to success. Cellular functional pathways have evolved through the selection of protein intra- and intermolecular interactions collectively referred to as the interactome. In the present work, quantitative in vivo protein cross-linking and mass spectrometry were used to probe large-scale protein interactome differences among three commonly employed human cell lines, namely, HEK293, MCF-7, and HeLa cells. These data illustrated highly reproducible quantitative interactome levels with

Indexed as

ProteomeProteomicsHEK293 CellsHeLa CellsHumansMass SpectrometryMCF-7 CellsProtein Interaction MappingProtein Interaction MapsReproducibility of ResultsProteomecellular quantitative interactomehuman cell linemass spectrometryquantitative cross-linking

Identifiers

PMID39453897
PMCPMC11867029

What Socratic holds

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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 Socratic graph.