Evidence map›Paper›PMID 31076284›Full record

ArticleMolecular cell2019

R-DeeP: Proteome-wide and Quantitative Identification of RNA-Dependent Proteins by Density Gradient Ultracentrifugation.

Maiwen Caudron-Herger, Scott F Rusin, Mark E Adamo, Jeanette Seiler, Vera K Schmid, Elsa Barreau, Arminja N Kettenbach, Sven Diederichs

Open access · bronzeAbstract read
In one paragraph

Article in Molecular cell, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed
5.3field-weighted citation impact, top 3% 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

74 citing papers in PubMed, 117 citations in OpenAlex.

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  11. Pseudouridine selects RNAs for extracellular transport.bioRxiv : the preprint server for biology · 2025
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  19. NEAT1 promotes genome stability via mGenes & development · 2024
    Article
  20. Article

14 more citing papers are in PubMed but not listed here.

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 at 3 institutions in 2 countries.

Maiwen Caudron-HergerDivision of RNA Biology and Cancer, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany. Electronic address: m.caudron@dkfz.de.
Scott F RusinDepartment of Biochemistry and Cell Biology, Geisel School of Medicine at Dartmouth, Hanover, NH 03755, USA.
Mark E AdamoNorris Cotton Cancer Center, Geisel School of Medicine at Dartmouth, Lebanon, NH 03756, USA.
Jeanette SeilerDivision of RNA Biology and Cancer, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.
Vera K SchmidDivision of RNA Biology and Cancer, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.
Elsa BarreauDivision of RNA Biology and Cancer, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.
Arminja N KettenbachDepartment of Biochemistry and Cell Biology, Geisel School of Medicine at Dartmouth, Hanover, NH 03755, USA; Norris Cotton Cancer Center, Geisel School of Medicine at Dartmouth, Lebanon, NH 03756, USA.
Sven DiederichsDivision of RNA Biology and Cancer, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; Division 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, 79106 Freiburg, Germany; National Center for Tumor Diseases (NCT), Partner Site Heidelberg, Heidelberg, Germany. Electronic address: s.diederichs@dkfz.de.
German Cancer Research Center · DEDartmouth College · USUniversity of Freiburg · DE

Funding

Molecular and Cellular Biology at DartmouthT32GM008704 · NIGMS · DARTMOUTH COLLEGE · PI COMPTON, DUANE A. · 1998 to 2018
$6.8M
Phosphorylation Signaling by Phosphoprotein PhosphatasesR35GM119455 · NIGMS · DARTMOUTH COLLEGE · PI Arminja Nadine Kettenbach · 2016 to 2026
$5.1M
LC-Orbitrap MS/MS System for shotgun Proteomics at DartmouthS10OD016212 · OD · DARTMOUTH COLLEGE · PI GERBER, SCOTT A. · 2013 to 2013
$600k
NIGMS NIH HHS R35 GM119455NIGMS NIH HHS T32 GM008704NIH HHS S10 OD016212
6 · The paper itself

Abstract

The comprehensive but specific identification of RNA-binding proteins as well as the discovery of RNA-associated protein functions remain major challenges in RNA biology. Here we adapt the concept of RNA dependence, defining a protein as RNA dependent when its interactome depends on RNA. We converted this concept into a proteome-wide, unbiased, and enrichment-free screen called R-DeeP (RNA-dependent proteins), based on density gradient ultracentrifugation. Quantitative mass spectrometry identified 1,784 RNA-dependent proteins, including 537 lacking known links to RNA. Exploiting the quantitative nature of R-DeeP, proteins were classified as not, partially, or completely RNA dependent. R-DeeP identified the transcription factor CTCF as completely RNA dependent, and we uncovered that RNA is required for the CTCF-chromatin association. Additionally, R-DeeP allows reconstruction of protein complexes based on co-segregation. The whole dataset is available at http://R-DeeP.dkfz.de, providing proteome-wide, specific, and quantitative identification of proteins with RNA-dependent interactions and aiming at future functional discovery of RNA-protein complexes.

Indexed as

Protein Interaction MapsCentrifugation, Density GradientChromatinGene Expression RegulationGene OntologyHeLa CellsHumansInformation DisseminationInternetMolecular Sequence AnnotationProtein BindingProteomeProteomicsRNARNA-Binding ProteinsTranscription FactorsChromatinProteomeRNARNA-Binding ProteinsTranscription FactorsCTCFdensity gradientmass spectrometryproteome-wideproteomicsR-DeePRNARNA-binding proteinRNA dependenceRNase

Identifiers

PMID31076284
PMCPMC6625853
OpenAlexW2943855616

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.