Evidence map›Paper›PMID 29636419›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2018

Transcriptome-wide discovery of coding and noncoding RNA-binding proteins.

Rongbing Huang, Mengting Han, Liying Meng, Xing Chen

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 95 papers.

0numbers the graph read from it
0cells of the map it votes in
95citing papers in PubMed
9.7field-weighted citation impact, top 1% 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

95 citing papers in PubMed, 181 citations in OpenAlex.

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  10. RNA-binding proteins orchestrating immunity in plants.The Plant journal : for cell and molecular biology · 2025
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35 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Rongbing HuangCollege of Chemistry and Molecular Engineering, Peking University, 100871 Beijing, China.
Mengting HanCollege of Chemistry and Molecular Engineering, Peking University, 100871 Beijing, China.
Liying MengCollege of Chemistry and Molecular Engineering, Peking University, 100871 Beijing, China.
Xing ChenCollege of Chemistry and Molecular Engineering, Peking University, 100871 Beijing, China; xingchen@pku.edu.cn.ORCID 0000-0002-3058-7370
Peking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcriptome-wide identification of RNA-binding proteins (RBPs) is a prerequisite for understanding the posttranscriptional gene regulation networks. However, proteomic profiling of RBPs has been mostly limited to polyadenylated mRNA-binding proteins, leaving RBPs on nonpoly(A) RNAs, including most noncoding RNAs (ncRNAs) and pre-mRNAs, largely undiscovered. Here we present a click chemistry-assisted RNA interactome capture (CARIC) strategy, which enables unbiased identification of RBPs, independent of the polyadenylation state of RNAs. CARIC combines metabolic labeling of RNAs with an alkynyl uridine analog and in vivo RNA-protein photocross-linking, followed by click reaction with azide-biotin, affinity enrichment, and proteomic analysis. Applying CARIC, we identified 597 RBPs in HeLa cells, including 130 previously unknown RBPs. These newly discovered RBPs can likely bind ncRNAs, thus uncovering potential involvement of ncRNAs in processes previously unknown to be ncRNA-related, such as proteasome function and intermediary metabolism. The CARIC strategy should be broadly applicable across various organisms to complete the census of RBPs.

Indexed as

Gene Expression ProfilingHEK293 CellsHeLa CellsHumansRNA-Binding ProteinsTranscriptomeRNA-Binding Proteinsbioorthogonal chemistrynoncoding RNAproteomicsRNARNA–protein interactions

Identifiers

PMID29636419
PMCPMC5924899
OpenAlexW2797140845

What OpenQuestion holds

Textmetadata
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.