Evidence map›Paper›PMID 37500587›Full record

ArticleChembiochem : a European journal of chemical biology2023

RNA-TAG Mediated Protein-RNA Conjugation.

Ember M Tota, Neal K Devaraj

Open access · greenAbstract read
In one paragraph

Article in Chembiochem : a European journal of chemical biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Directed evolution of a sequence-specific covalent protein tag for RNA labeling.Proceedings of the National Academy of Sciences of the United States of America · 2025
    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

2 authors at 1 institution in 1 country.

Ember M TotaDepartment of Chemistry and Biochemistry, University of California, San Diego, 9500 Gilman Drive, Natural Sciences Building 3328, La Jolla, CA 92093, USA.
Neal K DevarajDepartment of Chemistry and Biochemistry, University of California, San Diego, 9500 Gilman Drive, Natural Sciences Building 3328, La Jolla, CA 92093, USA.ORCID 0000-0002-8033-9973
University of California San Diego · US

Funding

Illuminating cellular dark matter through the development of novel chemical toolsR35GM141939 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DEVARAJ, NEAL KRISHNA · 2021 to 2025
$2.2M
NIGMS NIH HHS R35 GM141939NIH HHS R35 GM141939
6 · The paper itself

Abstract

Combinations of biological macromolecules can provide researchers with precise control and unique methods for regulating, studying, and manipulating cellular processes. For instance, combining the unmatched encodability afforded by nucleic acids with the diverse functionality of proteins has transformed our approach to solving several problems in chemical biology. Despite these benefits, there remains a need for new methods to site-specifically generate conjugates between different classes of biomolecules. Here we present a fully enzymatic strategy for combining nucleic acids and proteins using SNAP-tag and RNA-TAG (transglycosylation at guanosine) technologies via a bifunctional preQ1-benzylguanine small molecule probe. We demonstrate the robust ability of this technology to assemble site-specific SNAP-tag - RNA conjugates with RNAs of varying length and use our conjugation strategy to recruit an endonuclease to an RNA of interest for targeted degradation. We foresee that combining SNAP-tag and RNA-TAG will facilitate researchers to predictably engineer novel macromolecular complexes.

Indexed as

ProteinsRNAChemical PhenomenaProteinsRNAconjugationRNARNA degradationRNA modificationSNAP-tag

Identifiers

PMID37500587
PMCPMC11182364
OpenAlexW4385326195

What OpenQuestion holds

Textmetadata
LicenceTDM
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.