Evidence map›Paper›PMID 37735163›Full record

ArticleNature communications2023

Signal-noise metrics for RNA binding protein identification reveal broad spectrum protein-RNA interaction frequencies and dynamics.

JohnCarlo Kristofich, Christopher V Nicchitta

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Mapping the future of oxidative RNA damage in neurodegeneration: Rethinking the status quo with new tools.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  3. Article
  4. Article
  5. Review
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

2 authors.

JohnCarlo KristofichDepartment of Cell Biology, Duke University School of Medicine, Durham, NC, 27710, USA.
Christopher V NicchittaDepartment of Cell Biology, Duke University School of Medicine, Durham, NC, 27710, USA. christopher.nicchitta@duke.edu.ORCID http://orcid.org/0000-0001-7889-1155

Funding

Research Supplements to Promote Diversity in Health-Related ResearchR35GM139480 · NIGMS · DUKE UNIVERSITY · PI Christopher V. Nicchitta · 2021 to 2026
$4.1M
Thermo Lumos Tribrid High-Resolution Accurate-Mass Tandem Mass SpectrometerS10OD024999 · OD · DUKE UNIVERSITY · PI MOSELEY, MARTIN ARTHUR · 2018 to 2018
$600k
NIGMS NIH HHS R35 GM139480NIH HHS S10 OD024999
6 · The paper itself

Abstract

Recent efforts towards the comprehensive identification of RNA-bound proteomes have revealed a large, surprisingly diverse family of candidate RNA-binding proteins (RBPs). Quantitative metrics for characterization and validation of protein-RNA interactions and their dynamic interactions have, however, proven analytically challenging and prone to error. Here we report a method termed LEAP-RBP (Liquid-Emulsion-Assisted-Purification of RNA-Bound Protein) for the selective, quantitative recovery of UV-crosslinked RNA-protein complexes. By virtue of its high specificity and yield, LEAP-RBP distinguishes RNA-bound and RNA-free protein levels and reveals common sources of experimental noise in RNA-centric RBP enrichment methods. We introduce strategies for accurate RBP identification and signal-based metrics for quantifying protein-RNA complex enrichment, relative RNA occupancy, and method specificity. In this work, the utility of our approach is validated by comprehensive identification of RBPs whose association with mRNA is modulated in response to global mRNA translation state changes and through in-depth benchmark comparisons with current methodologies.

Indexed as

RNAProtein BiosynthesisRNA-Binding ProteinsRNA, MessengerRNARNA-Binding ProteinsRNA, Messenger

Identifiers

PMID37735163
PMCPMC10514315

What Socratic holds

Textmetadata
LicenceCC BY
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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.