Evidence map›Paper›PMID 25531890›Full record

ArticleNature chemical biology2015

miR-CLIP capture of a miRNA targetome uncovers a lincRNA H19-miR-106a interaction.

Jochen Imig, Andreas Brunschweiger, Anneke Brümmer, Boris Guennewig, Nitish Mittal, Shivendra Kishore, Panagiota Tsikrika, André P Gerber, Mihaela Zavolan, Jonathan Hall

Abstract read
PubMed Publisher
In one paragraph

Article in Nature chemical biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers.

0numbers the graph read from it
0cells of the map it votes in
103citing papers in PubMed
7.8field-weighted citation impact, top 2% 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

103 citing papers in PubMed, 183 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Emerging Roles of Long Non-Coding RNAs in Cardiovascular Diseases.Journal of cellular and molecular medicine · 2025
    Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. LncRNAEpigenetics · 2023
    Article
  11. Article
  12. Noncoding RNAs as Key Regulators for Cardiac Development and Cardiovascular Diseases.Journal of cardiovascular development and disease · 2023
    Review
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

43 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 2 countries.

Jochen ImigInstitute of Pharmaceutical Sciences, ETH Zurich, Zurich, Switzerland.ORCID 0000000163752240
Andreas BrunschweigerInstitute of Pharmaceutical Sciences, ETH Zurich, Zurich, Switzerland.ORCID 0000000244011495
Anneke BrümmerComputational and Systems Biology, Biozentrum, University of Basel, Basel, Switzerland.
Boris GuennewigInstitute of Pharmaceutical Sciences, ETH Zurich, Zurich, Switzerland.
Nitish MittalComputational and Systems Biology, Biozentrum, University of Basel, Basel, Switzerland.
Shivendra KishoreComputational and Systems Biology, Biozentrum, University of Basel, Basel, Switzerland.
Panagiota TsikrikaInstitute of Pharmaceutical Sciences, ETH Zurich, Zurich, Switzerland.
André P GerberDepartment of Microbial and Cellular Sciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford, Surrey, UK.
Mihaela ZavolanComputational and Systems Biology, Biozentrum, University of Basel, Basel, Switzerland.
Jonathan HallInstitute of Pharmaceutical Sciences, ETH Zurich, Zurich, Switzerland.
ETH Zurich · CHUniversity of Basel · CHUniversity of Surrey · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identifying the interaction partners of noncoding RNAs is essential for elucidating their functions. We have developed an approach, termed microRNA crosslinking and immunoprecipitation (miR-CLIP), using pre-miRNAs modified with psoralen and biotin to capture their targets in cells. Photo-crosslinking and Argonaute 2 immunopurification followed by streptavidin affinity purification of probe-linked RNAs provided selectivity in the capture of targets, which were identified by deep sequencing. miR-CLIP with pre-miR-106a, a miR-17-5p family member, identified hundreds of putative targets in HeLa cells, many carrying conserved sequences complementary to the miRNA seed but also many that were not predicted computationally. miR-106a overexpression experiments confirmed that miR-CLIP captured functional targets, including H19, a long noncoding RNA that is expressed during skeletal muscle cell differentiation. We showed that miR-17-5p family members bind H19 in HeLa cells and myoblasts. During myoblast differentiation, levels of H19, miR-17-5p family members and mRNA targets changed in a manner suggesting that H19 acts as a 'sponge' for these miRNAs.

Indexed as

MicroRNAsRNA, Long NoncodingTranscriptomeBase SequenceBiotinCell Culture TechniquesCell DifferentiationComputational BiologyFicusinHeLa CellsHumansImmunoprecipitationMolecular Sequence DataMuscle CellsMyoblastsReal-Time Polymerase Chain ReactionBiotinFicusinH19 long non-coding RNAMicroRNAsMIRN106 microRNA, humanRNA, Long NoncodingRNA, Messenger

Identifiers

PMID25531890
OpenAlexW1977279728

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.