Evidence map›Paper›PMID 36257942›Full record

ArticleNature communications2022

Proteome effects of genome-wide single gene perturbations.

Merve Öztürk, Anja Freiwald, Jasmin Cartano, Ramona Schmitt, Mario Dejung, Katja Luck, Bassem Al-Sady, Sigurd Braun, Michal Levin, Falk Butter

Open access · goldAbstract 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 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

14 citing papers in PubMed, 16 citations in OpenAlex.

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  14. Advances in the Clinical Application of High-throughput Proteomics.Exploratory research and hypothesis in medicine
    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

10 authors at 3 institutions in 2 countries.

Merve ÖztürkInstitute of Molecular Biology (IMB), Mainz, Germany.
Anja FreiwaldInstitute of Molecular Biology (IMB), Mainz, Germany.
Jasmin CartanoInstitute of Molecular Biology (IMB), Mainz, Germany.
Ramona SchmittInstitute of Molecular Biology (IMB), Mainz, Germany.
Mario DejungInstitute of Molecular Biology (IMB), Mainz, Germany.
Katja LuckInstitute of Molecular Biology (IMB), Mainz, Germany.
Bassem Al-SadyDepartment of Microbiology & Immunology, George Williams Hooper Foundation, University of California San Francisco, San Francisco, CA, USA.ORCID 0000-0002-8996-7941
Sigurd BraunDepartment of Physiological Chemistry, Biomedical Center, Ludwig-Maximilians University of Munich, Planegg-Martinsried, Germany.
Michal LevinInstitute of Molecular Biology (IMB), Mainz, Germany.
Falk ButterInstitute of Molecular Biology (IMB), Mainz, Germany. f.butter@imb.de.ORCID 0000-0002-7197-7279
Institute of Molecular Biology · DEJustus-Liebig-Universität Gießen · DEUniversity of California, San Francisco · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein abundance is controlled at the transcriptional, translational and post-translational levels, and its regulatory principles are starting to emerge. Investigating these principles requires large-scale proteomics data and cannot just be done with transcriptional outcomes that are commonly used as a proxy for protein abundance. Here, we determine proteome changes resulting from the individual knockout of 3308 nonessential genes in the yeast Schizosaccharomyces pombe. We use similarity clustering of global proteome changes to infer gene functionality that can be extended to other species, such as humans or baker's yeast. Furthermore, we analyze a selected set of deletion mutants by paired transcriptome and proteome measurements and show that upregulation of proteins under stable transcript expression utilizes optimal codons.

Indexed as

SchizosaccharomycesSchizosaccharomyces pombe ProteinsHumansProteomeProteomicsSaccharomyces cerevisiaeProteomeSchizosaccharomyces pombe Proteins

Identifiers

PMID36257942
PMCPMC9579165
OpenAlexW4306672746

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.