Evidence map›Paper›PMID 33113149›Full record

ArticleFEBS letters2021

Ligation of 2', 3'-cyclic phosphate RNAs for the identification of microRNA binding sites.

Christian Berk, Yuluan Wang, Artur Laski, Stylianos Tsagkris, Jonathan Hall

Open access · hybridAbstract read
In one paragraph

Article in FEBS letters, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 90% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 1 institution in 1 country.

Christian BerkInstitute of Pharmaceutical Sciences, Department of Chemistry and Applied Biosciences, ETH Zurich, Switzerland.
Yuluan WangInstitute of Pharmaceutical Sciences, Department of Chemistry and Applied Biosciences, ETH Zurich, Switzerland.
Artur LaskiInstitute of Pharmaceutical Sciences, Department of Chemistry and Applied Biosciences, ETH Zurich, Switzerland.
Stylianos TsagkrisInstitute of Pharmaceutical Sciences, Department of Chemistry and Applied Biosciences, ETH Zurich, Switzerland.
Jonathan HallInstitute of Pharmaceutical Sciences, Department of Chemistry and Applied Biosciences, ETH Zurich, Switzerland.ORCID 0000-0003-4160-7135
ETH Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identifying the targetome of a microRNA is key for understanding its functions. Cross-linking and immunoprecipitation (CLIP) methods capture native miRNA-mRNA interactions in cells. Some of these methods yield small amounts of chimeric miRNA-mRNA sequences via ligation of 5'-phosphorylated RNAs produced during the protocol. Here, we introduce chemically synthesized microRNAs (miRNAs) bearing 2'-, 3'-cyclic phosphate groups, as part of a new CLIP method that does not require 5'-phosphorylation for ligation. We show in a system that models miRNAs bound to their targets, that addition of recombinant bacterial ligase RtcB increases ligation efficiency, and that the transformation proceeds via a 3'-phosphate intermediate. By optimizing the chemistry underlying ligation, we provide the basis for an improved method to identify miRNA targetomes.

Indexed as

Bacterial ProteinsBinding SitesCross-Linking ReagentsHEK293 CellsHeLa CellsHumansImmunoprecipitationLigasesMicroRNAsPhosphorylationRecombinant ProteinsRNA, MessengerBacterial ProteinsCross-Linking ReagentsLigasesMicroRNAsRecombinant ProteinsRNA, Messenger2′,3′-cyclic phosphateCLIPligationmicroRNARtcB

Identifiers

PMID33113149
PMCPMC7894349
OpenAlexW3096311028

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.