Evidence map›Paper›PMID 38423626›Full record

ArticleRNA (New York, N.Y.)2024

High-throughput quantitation of protein-RNA UV-crosslinking efficiencies as a predictive tool for high-confidence identification of RNA-binding proteins.

JohnCarlo Kristofich, Christopher V Nicchitta

Abstract read
In one paragraph

Article in RNA (New York, N.Y.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Regulation of RNA-binding proteins by small biomolecules.Nature reviews. Molecular cell biology · 2026
    Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. 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, North Carolina 27710, USA.ORCID 0000-0001-6815-8750
Christopher V NicchittaDepartment of Cell Biology, Duke University School of Medicine, Durham, North Carolina 27710, USA christopher.nicchitta@duke.edu.ORCID 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
NIGMS NIH HHS R35 GM139480
6 · The paper itself

Abstract

UV-crosslinking has proven to be an invaluable tool for the identification of RNA-protein interactomes. The paucity of methods for distinguishing background from bona fide RNA-protein interactions, however, makes attribution of RNA-binding function on UV-crosslinking alone challenging. To address this need, we previously reported an RNA-binding protein (RBP) confidence scoring metric (RCS), incorporating both signal-to-noise (

Indexed as

RNARNA-Binding ProteinsUltraviolet RaysCross-Linking ReagentsHeLa CellsHumansProtein BindingCross-Linking ReagentsRNARNA-Binding ProteinsRNA-binding proteinRNA interactomeRNPUV-crosslinkingUV-crosslinking efficiency

Identifiers

PMID38423626
PMCPMC11098464

What OpenQuestion holds

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LicenceCC BY-NC
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.