Evidence map›Paper›PMID 38480694›Full record

ArticleNature communications2024

Structure-based prediction and characterization of photo-crosslinking in native protein-RNA complexes.

Huijuan Feng, Xiang-Jun Lu, Suvrajit Maji, Linxi Liu, Dmytro Ustianenko, Noam D Rudnick, Chaolin Zhang

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  3. Review
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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.

Huijuan FengDepartment of Biostatistics and Computational Biology, School of Life Sciences, Fudan University, Shanghai, 200438, China.ORCID 0000-0002-4005-560X
Xiang-Jun LuDepartment of Biological Sciences, Columbia University, New York, NY, 10027, USA.
Suvrajit MajiDepartment of Systems Biology, Columbia University, New York, NY, 10032, USA.ORCID 0000-0001-5547-1975
Linxi LiuDepartment of Statistics, Columbia University, New York, NY, 10027, USA.
Dmytro UstianenkoDepartment of Systems Biology, Columbia University, New York, NY, 10032, USA.
Noam D RudnickDepartment of Biochemistry and Molecular Biophysics, Columbia University, New York, NY, 10032, USA.
Chaolin ZhangDepartment of Systems Biology, Columbia University, New York, NY, 10032, USA. cz2294@columbia.edu.ORCID 0000-0002-8310-7537

Funding

Complexity and evolution of splicing-regulatory networksR35GM145279 · NIGMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Chaolin Zhang · 2022 to 2026
$4.6M
Continued Development and Maintenance of the 3DNA Suite of ProgramsR01GM096889 · NIGMS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI LU, XIANG-JUN · 2011 to 2019
$2.2M
High-performance compute cluster for biomedical computingS10OD012351 · OD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CALIFANO, ANDREA · 2012 to 2012
$2.0M
Storage System for High Performance ComputingS10OD021764 · OD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CALIFANO, ANDREA · 2016 to 2016
$600k
CLIP Tool Kit (CTK): pipeline, user interface and tutorials for CLIP data analysisR03HG009528 · NHGRI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ZHANG, CHAOLIN · 2017 to 2018
$160k
NHGRI NIH HHS R03 HG009528NIGMS NIH HHS R01 GM096889NIGMS NIH HHS R35 GM145279NIH HHS S10 OD012351NIH HHS S10 OD021764
6 · The paper itself

Abstract

UV-crosslinking of protein and RNA in direct contacts has been widely used to study protein-RNA complexes while our understanding of the photo-crosslinking mechanisms remains poor. This knowledge gap is due to the challenge of precisely mapping the crosslink sites in protein and RNA simultaneously in their native sequence and structural contexts. Here we systematically analyze protein-RNA interactions and photo-crosslinking by bridging crosslinked nucleotides and amino acids mapped using different assays with protein-RNA complex structures. We developed a computational method PxR3D-map which reliably predicts crosslink sites using structural information characterizing protein-RNA interaction interfaces. Analysis of the informative features revealed that photo-crosslinking is facilitated by base stacking with not only aromatic residues, but also dipeptide bonds that involve glycine, and distinct mechanisms are utilized by different RNA-binding domains. Our work suggests protein-RNA photo-crosslinking is highly selective in the cellular environment, which can guide data interpretation and further technology development for UV-crosslinking-based assays.

Indexed as

ProteinsRNAAmino AcidsCross-Linking ReagentsNucleotidesAmino AcidsCross-Linking ReagentsNucleotidesProteinsRNA

Identifiers

PMID38480694
PMCPMC10937933

What OpenQuestion holds

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Registered trials

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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.