Evidence map›Paper›PMID 32514175›Full record

ArticleNature structural & molecular biology2020

Chemical RNA digestion enables robust RNA-binding site mapping at single amino acid resolution.

Jong Woo Bae, S Chul Kwon, Yongwoo Na, V Narry Kim, Jong-Seo Kim

Abstract read
PubMed Publisher
In one paragraph

Article in Nature structural & molecular biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Journal of proteome research · 2023
    Article
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

5 authors.

Jong Woo BaeCenter for RNA Research, Institute for Basic Science, Seoul, Korea.ORCID http://orcid.org/0000-0002-3185-897X
S Chul KwonCenter for RNA Research, Institute for Basic Science, Seoul, Korea.
Yongwoo NaCenter for RNA Research, Institute for Basic Science, Seoul, Korea.
V Narry KimCenter for RNA Research, Institute for Basic Science, Seoul, Korea. narrykim@snu.ac.kr.ORCID http://orcid.org/0000-0002-3213-4965
Jong-Seo KimCenter for RNA Research, Institute for Basic Science, Seoul, Korea. jongseokim@snu.ac.kr.ORCID http://orcid.org/0000-0002-8909-8440

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA-binding sites (RBSs) can be identified by liquid chromatography and tandem mass spectrometry analyses of the protein-RNA conjugates created by crosslinking, but RBS mapping remains highly challenging due to the complexity of the formed RNA adducts. Here, we introduce RBS-ID, a method that uses hydrofluoride to fully cleave RNA into mono-nucleosides, thereby minimizing the search space to drastically enhance coverage and to reach single amino acid resolution. Moreover, the simple mono-nucleoside adducts offer a confident and quantitative measure of direct RNA-protein interaction. Using RBS-ID, we profiled ~2,000 human RBSs and probed Streptococcus pyogenes Cas9 to discover residues important for genome editing.

Indexed as

Amino AcidsBinding SitesChromatography, LiquidCRISPR-Associated Protein 9Cross-Linking ReagentsHeLa CellsHumansHydrofluoric AcidMolecular BiologyProteomeRibonucleoproteinsRNATandem Mass SpectrometryAmino AcidsCas9 endonuclease Streptococcus pyogenesCRISPR-Associated Protein 9Cross-Linking ReagentsHydrofluoric AcidProteomeRibonucleoproteinsRNA

Identifiers

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.