Evidence map›Paper›PMID 32094787›Full record

ArticleNature protocols2020

Identification, quantification and bioinformatic analysis of RNA-dependent proteins by RNase treatment and density gradient ultracentrifugation using R-DeeP.

Maiwen Caudron-Herger, Elsa Wassmer, Isha Nasa, Astrid-Solveig Schultz, Jeanette Seiler, Arminja N Kettenbach, Sven Diederichs

Abstract read
In one paragraph

Article in Nature protocols, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

21 citing papers in PubMed, 31 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

7 authors at 3 institutions in 2 countries.

Maiwen Caudron-HergerDivision of RNA Biology & Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany. m.caudron@dkfz.de.ORCID http://orcid.org/0000-0002-7030-8153
Elsa WassmerDivision of RNA Biology & Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Isha NasaDepartment of Biochemistry and Cell Biology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA.
Astrid-Solveig SchultzDivision of Cancer Research, Department of Thoracic Surgery, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, German Cancer Consortium (DKTK)-Partner Site Freiburg, Freiburg, Germany.
Jeanette SeilerDivision of RNA Biology & Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Arminja N KettenbachDepartment of Biochemistry and Cell Biology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA.ORCID http://orcid.org/0000-0003-3979-4576
Sven DiederichsDivision of RNA Biology & Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany. s.diederichs@dkfz.de.ORCID http://orcid.org/0000-0001-7901-4752
German Cancer Research Center · DEDartmouth College · USUniversity of Freiburg · DE

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Steven D Leach · 1985 to 2026
$91.3M
Understanding the role of RNA-binding protein mutations in cancerP20GM113132 · NIGMS · DARTMOUTH COLLEGE · PI MADDEN, DEAN R · 2016 to 2025
$25.9M
Phosphorylation Signaling by Phosphoprotein PhosphatasesR35GM119455 · NIGMS · DARTMOUTH COLLEGE · PI Arminja Nadine Kettenbach · 2016 to 2026
$5.1M
NCI NIH HHS P30 CA023108NIGMS NIH HHS P20 GM113132NIGMS NIH HHS R35 GM119455U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) P20GM113132U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) R35GM119455
6 · The paper itself

Abstract

Analysis of RNA-protein complexes is central to understanding the molecular circuitry governing cellular processes. In recent years, several proteome-wide studies have been dedicated to the identification of RNA-binding proteins. Here, we describe in detail R-DeeP, an approach built on RNA dependence, defined as the ability of a protein to engage in protein complexes only in the presence of RNA, involving direct or indirect interaction with RNA. This approach provides-for the first time, to our knowledge-quantitative information on the fraction of a protein associated with RNA-protein complexes. R-DeeP is independent of any potentially biased purification procedures. It is based on cellular lysate fractionation by density gradient ultracentrifugation and subsequent analysis by proteome-wide mass spectrometry (MS) or individual western blotting. The comparison of lysates with and without previous RNase treatment enables the identification of differences in the apparent molecular weight and, hence, the size of the complexes. In combination with information from databases of protein-protein complexes, R-DeeP facilitates the computational reconstruction of protein complexes from proteins migrating in the same fraction. In addition, we developed a pipeline for the statistical analysis of the MS dataset to automatically identify RNA-dependent proteins (proteins whose interactome depends on RNA). With this protocol, the individual analysis of proteins of interest by western blotting can be completed within 1-2 weeks. For proteome-wide studies, additional time is needed for the integration of the proteomic and statistical analyses. In the future, R-DeeP can be extended to other fractionation techniques, such as chromatography.

Indexed as

RNA-Binding ProteinsA549 CellsCentrifugation, Density GradientHeLa CellsHumansProteomeProteomicsRibonucleasesRNAProteomeRibonucleasesRNARNA-Binding Proteins

Identifiers

PMID32094787
PMCPMC7212772
OpenAlexW3006890195

What OpenQuestion holds

Textmetadata
LicenceTDM
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.