Evidence map›Paper›PMID 37749212›Full record

ArticleNature methods2023

A computational framework for the inference of protein complex remodeling from whole-proteome measurements.

Marija Buljan, Amir Banaei-Esfahani, Peter Blattmann, Fabienne Meier-Abt, Wenguang Shao, Olga Vitek, Hua Tang, Ruedi Aebersold

Abstract read
In one paragraph

Article in Nature methods, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
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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

8 authors.

Marija Buljan *Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland. marija.buljan@empa.ch.ORCID http://orcid.org/0000-0003-3615-6691
Amir Banaei-Esfahani *Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-9533-7647
Peter BlattmannDepartment of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0001-9105-6381
Fabienne Meier-AbtDepartment of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.
Wenguang ShaoDepartment of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0003-0905-0728
Olga VitekKhoury College of Computer Sciences, Northeastern University, Boston, MA, USA.ORCID http://orcid.org/0000-0003-1728-1104
Hua TangDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-0177-8864
Ruedi AebersoldDepartment of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland. aebersold@imsb.biol.ethz.ch.ORCID http://orcid.org/0000-0002-9576-3267

Funding

Technology CoreU19AI106761 · NIAID · SEATTLE BIOMEDICAL RESEARCH INSTITUTE · PI SHERMAN, DAVID R, ZAK, DANIEL E · 2013 to 2017
$18.9M
Machine Learning for Decoding the Genetic Architecture of Complex Traits and Diseases Across PopulationsR35GM127063 · NIGMS · STANFORD UNIVERSITY · PI Hua Tang · 2018 to 2026
$2.2M
NIAID NIH HHS U19 AI106761NIGMS NIH HHS R35 GM127063
6 · The paper itself

Abstract

Protein complexes are responsible for the enactment of most cellular functions. For the protein complex to form and function, its subunits often need to be present at defined quantitative ratios. Typically, global changes in protein complex composition are assessed with experimental approaches that tend to be time consuming. Here, we have developed a computational algorithm for the detection of altered protein complexes based on the systematic assessment of subunit ratios from quantitative proteomic measurements. We applied it to measurements from breast cancer cell lines and patient biopsies and were able to identify strong remodeling of HDAC2 epigenetic complexes in more aggressive forms of cancer. The presented algorithm is available as an R package and enables the inference of changes in protein complex states by extracting functionally relevant information from bottom-up proteomic datasets.

Indexed as

ProteomeProteomicsAlgorithmsComputational BiologyHumansMCF-7 CellsProteome

Identifiers

PMID37749212
PMCPMC10555833

What Socratic 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 Socratic graph.