Evidence map›Paper›PMID 33654721›Full record

ArticleBio-protocol2020

Ribonucleoprotein Immunoprecipitation (RIP) Analysis.

Jennifer L Martindale, Myriam Gorospe, Maria L Idda

Abstract read
In one paragraph

Article in Bio-protocol, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

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  12. Recruitment of the mGenome biology · 2024
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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.

Jennifer L MartindaleLaboratory of Genetics and Genomics, Biomedical Research Center, National Institute on Aging Intramural Research Program, National Institutes of Health, Baltimore, USA.
Myriam GorospeLaboratory of Genetics and Genomics, Biomedical Research Center, National Institute on Aging Intramural Research Program, National Institutes of Health, Baltimore, USA.
Maria L IddaLaboratory of Genetics and Genomics, Biomedical Research Center, National Institute on Aging Intramural Research Program, National Institutes of Health, Baltimore, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNAs and RNA-binding proteins (RBPs) can interact dynamically in ribonucleoprotein (RNP) complexes that play important roles in controlling gene expression programs. One of the powerful ways to investigate changes in the association of RNAs with an RBP of interest is by immunoprecipitation (IP) analysis of native RNPs. RIP (RNP immunoprecipitation) analysis enables the rapid identification of endogenous RNAs bound to an RBP and to monitor time-dependent changes in this association, as well as changes in response to different metabolic and stress conditions. The protocol is based on the use of an antibody, typically an anti-RBP antibody, to immunoprecipitate the RNP complex. The RNA within the immunoprecipitated complex can then be isolated and further studied using different approaches such as PCR, microarray, Northern blot, and sequencing analyses. Among other advantages, RIP analysis (i) measures RNP associations in many samples relatively quickly, (ii) can be adapted easily to different endogenous RBPs, and (iii) provides extensive information at low cost. Among its limitations, RIP analysis does not inform on the specific sites of interaction of an RBP with a given target RNAs, although recent adaptations of RIP have been developed to overcome this problem. Here we provide an optimized protocol for RIP analysis that can be used to study RNA-protein interactions relevant to many areas of biology.

Indexed as

Gene expressionPost-transcriptional regulationRibonucleoprotein complexRNA-binding proteinsRNA target

Identifiers

PMID33654721
PMCPMC7842778

What OpenQuestion holds

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Registered trials

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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.