Evidence map›Paper›PMID 37080200›Full record

ArticleCell2023

The proteomic landscape of genome-wide genetic perturbations.

Christoph B Messner, Vadim Demichev, Julia Muenzner, Simran K Aulakh, Natalie Barthel, Annika Röhl, Lucía Herrera-Domínguez, Anna-Sophia Egger, Stephan Kamrad, Jing Hou and 9 more

Open access · hybridAbstract read
In one paragraph

Article in Cell, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
12.0field-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

40 citing papers in PubMed, 82 citations in OpenAlex.

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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

19 authors at 7 institutions in 5 countries.

Christoph B MessnerThe Francis Crick Institute, Molecular Biology of Metabolism Laboratory, London NW1 1AT, UK; Precision Proteomics Center, Swiss Institute of Allergy and Asthma Research (SIAF), University of Zurich, 7265 Davos, Switzerland.
Vadim DemichevThe Francis Crick Institute, Molecular Biology of Metabolism Laboratory, London NW1 1AT, UK; Charité Universitätsmedizin Berlin, Department of Biochemistry, 10117 Berlin, Germany; Department of Biochemistry, Cambridge Centre for Proteomics, University of Cambridge, Cambridge CB2 1QW, UK.
Julia MuenznerCharité Universitätsmedizin Berlin, Department of Biochemistry, 10117 Berlin, Germany.
Simran K AulakhThe Francis Crick Institute, Molecular Biology of Metabolism Laboratory, London NW1 1AT, UK.
Natalie BarthelCharité Universitätsmedizin Berlin, Department of Biochemistry, 10117 Berlin, Germany.
Annika RöhlCharité Universitätsmedizin Berlin, Department of Biochemistry, 10117 Berlin, Germany.
Lucía Herrera-DomínguezCharité Universitätsmedizin Berlin, Department of Biochemistry, 10117 Berlin, Germany.
Anna-Sophia EggerThe Francis Crick Institute, Molecular Biology of Metabolism Laboratory, London NW1 1AT, UK.
Stephan KamradThe Francis Crick Institute, Molecular Biology of Metabolism Laboratory, London NW1 1AT, UK.
Jing HouThe Donnelly Centre, University of Toronto, Toronto, ON M5S3E1, Canada.
Guihong TanThe Donnelly Centre, University of Toronto, Toronto, ON M5S3E1, Canada.
Oliver LemkeCharité Universitätsmedizin Berlin, Department of Biochemistry, 10117 Berlin, Germany.
Enrica CalvaniThe Francis Crick Institute, Molecular Biology of Metabolism Laboratory, London NW1 1AT, UK.
Lukasz SzyrwielThe Francis Crick Institute, Molecular Biology of Metabolism Laboratory, London NW1 1AT, UK; Charité Universitätsmedizin Berlin, Department of Biochemistry, 10117 Berlin, Germany.
Michael MüllederCharité Universitätsmedizin, Core Facility - High Throughput Mass Spectrometry, 10117 Berlin, Germany.
Kathryn S LilleyDepartment of Biochemistry, Cambridge Centre for Proteomics, University of Cambridge, Cambridge CB2 1QW, UK.
Charles BooneDepartment of Molecular Genetics, University of Toronto, Toronto, ON M5S3E1, Canada; The Donnelly Centre, University of Toronto, Toronto, ON M5S3E1, Canada; RIKEN Center for Sustainable Resource Science, Wako, 351-0198 Saitama, Japan.
Georg KustatscherWellcome Centre for Cell Biology, University of Edinburgh, Max Born Crescent, Edinburgh EH9 3BF, Scotland, UK. Electronic address: georg.kustatscher@ed.ac.uk.
Markus RalserThe Francis Crick Institute, Molecular Biology of Metabolism Laboratory, London NW1 1AT, UK; Charité Universitätsmedizin Berlin, Department of Biochemistry, 10117 Berlin, Germany; The Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford OX3 7BN, UK; Max Planck Institute for Molecular Genetics, 14195 Berlin, Germany. Electronic address: markus.ralser@charite.de.
Charité - Universitätsmedizin Berlin · DEThe Francis Crick Institute · GBUniversity of Toronto · CAUniversity of Cambridge · GBCentre for Human Genetics · GBUniversity of Zurich · CHWellcome Centre for Cell Biology · GB

Funding

Biotechnology and Biological Sciences Research Council BB/N015215/1Biotechnology and Biological Sciences Research Council BB/N015282/1Medical Research Council FC001134Medical Research Council MR/T03050X/1Wellcome Trust FC001134Wellcome Trust IA 200829/Z/16/Z
6 · The paper itself

Abstract

Functional genomic strategies have become fundamental for annotating gene function and regulatory networks. Here, we combined functional genomics with proteomics by quantifying protein abundances in a genome-scale knockout library in Saccharomyces cerevisiae, using data-independent acquisition mass spectrometry. We find that global protein expression is driven by a complex interplay of (1) general biological properties, including translation rate, protein turnover, the formation of protein complexes, growth rate, and genome architecture, followed by (2) functional properties, such as the connectivity of a protein in genetic, metabolic, and physical interaction networks. Moreover, we show that functional proteomics complements current gene annotation strategies through the assessment of proteome profile similarity, protein covariation, and reverse proteome profiling. Thus, our study reveals principles that govern protein expression and provides a genome-spanning resource for functional annotation.

Indexed as

ProteomeProteomicsGenomeGenomicsSaccharomyces cerevisiaeProteomedata-independent acquisitiondeletionfunctional genomicsfunctional proteomicsgene annotationhigh throughputknockoutquantitative proteomicsSaccharomyces cerevisiaesystems biology

Identifiers

PMID37080200
PMCPMC7615649
OpenAlexW4366442044

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.