Evidence map›Paper›PMID 22813890›Full record

ArticleMethods (San Diego, Calif.)2012

MS2-TRAP (MS2-tagged RNA affinity purification): tagging RNA to identify associated miRNAs.

Je-Hyun Yoon, Subramanya Srikantan, Myriam Gorospe

Abstract read
In one paragraph

Article in Methods (San Diego, Calif.), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed
3.1field-weighted citation impact, top 9% 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

88 citing papers in PubMed, 137 citations in OpenAlex.

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  16. General Strategies for RNA X-ray Crystallography.Molecules (Basel, Switzerland) · 2023
    Review
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28 more citing papers are in PubMed but not listed here.

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

3 authors at 1 institution in 1 country.

Je-Hyun YoonLaboratory of Molecular Biology and Immunology, National Institute on Aging-Intramural Research Program, NIH, Baltimore, MD 21224, USA.
Subramanya Srikantan
Myriam Gorospe
National Institute on Aging · US

Funding

Post-transcriptional Regulation Of Proliferative and Stress Response GenesZIAAG000511 · NIA · NATIONAL INSTITUTE ON AGING · PI GOROSPE, MYRIAM · 2009 to 2025
$25.4M
Influence of Post-transcriptional Gene Regulation on Cell Senescence and AgingZIAAG000393 · NIA · NATIONAL INSTITUTE ON AGING · PI GOROSPE, MYRIAM · 2009 to 2025
$24.1M
Post-transcriptional regulation of energy usage: glucose and lipid metabolismZIAAG000394 · NIA · NATIONAL INSTITUTE ON AGING · PI GOROSPE, MYRIAM · 2009 to 2025
$18.7M
Intramural NIH HHS ZIA AG000511
6 · The paper itself

Abstract

Cellular transcripts of all types, including coding messenger (m)RNAs and noncoding (nc)RNAs, are subject to extensive post-transcriptional regulation. Among the factors that elicit post-transcriptional control, microRNAs (miRNAs) have emerged as a major class of small regulatory RNAs. Since RNA-RNA interactions can be modeled computationally, several excellent programs have been developed to predict the interaction of miRNAs with target transcripts. However, many such predictions are not realized for different reasons, including absent or low-abundance expression of the miRNA in the cell, the existence of competing factors or conformational changes masking the microRNA site, and the possibility that target transcripts are not present in the prediction databases, as is the case for long ncRNAs. Here, we provide a systematic approach termed MS2-TRAP (tagged RNA affinity purification) for identifying miRNAs associated with a target transcript in the cellular context. We illustrate the use of this methodology by identifying microRNAs that associate with a long intergenic (li)ncRNA, based on the expression of the lincRNA tagged with MS2 RNA hairpins (lincRNA-p21-MS2) and the concomitant expression of a fusion protein recognizing the MS2 RNA hairpins, MS2-GST. After affinity pulldown of the ribonucleoprotein (RNP) complex comprising [MS2-GST/lincRNA-p21-MS2], the RNA in the pulldown material was isolated and reverse transcribed (RT). Subsequent assessment of the microRNAs present in the pulldown complex by using real-time quantitative (q)PCR analysis led to the identification of bona fide miRNAs that interact with and control the abundance of lincRNA-p21. We describe alternative designs and applications of this approach, and discuss its implications in deciphering post-transcriptional gene regulatory schemes.

Indexed as

MicroRNAsRNARNA, Long NoncodingRNA, MessengerChromatography, AffinityComputational BiologyGene Expression RegulationGene Regulatory NetworksHumansMicroRNAsRNARNA, Long NoncodingRNA, Messenger

Identifiers

PMID22813890
PMCPMC3493847
OpenAlexW2058303505

What OpenQuestion holds

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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.