Evidence map›Paper›PMID 24257445›Full record

ArticleMethods (San Diego, Calif.)2014

Profiling post-transcriptionally networked mRNA subsets using RIP-Chip and RIP-Seq.

Sabarinath Jayaseelan, Francis Doyle, Scott A Tenenbaum

Open access · greenAbstract read
In one paragraph

Article in Methods (San Diego, Calif.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

18 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
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  6. Review
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  12. Use of RNA Immunoprecipitation Method for DeterminingBiological procedures online · 2018
    Article
  13. Article
  14. Rules of RNA specificity of hnRNP A1 revealed by global and quantitative analysis of its affinity distribution.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  15. RNA-Seq methods for transcriptome analysis.Wiley interdisciplinary reviews. RNA · 2017
    Review
  16. Review
  17. Article
  18. Review
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.

Sabarinath JayaseelanSUNY-College of Nanoscale Science and Engineering, Nanobioscience Constellation, State University of New York, Albany, NY 12203, USA.
Francis DoyleSUNY-College of Nanoscale Science and Engineering, Nanobioscience Constellation, State University of New York, Albany, NY 12203, USA.
Scott A TenenbaumSUNY-College of Nanoscale Science and Engineering, Nanobioscience Constellation, State University of New York, Albany, NY 12203, USA. Electronic address: stenenbaum@albany.edu.
SUNY Polytechnic Institute · US

Funding

Comprehensive Identification of ENCODE RNA based Cis-Regulatory ElementsU01HG004571 · NHGRI · STATE UNIVERSITY OF NEW YORK AT ALBANY · PI TENENBAUM, SCOTT A · 2007 to 2011
$2.6M
Identifying functional regulatory elements in RNAR21HG003679 · NHGRI · STATE UNIVERSITY OF NEW YORK AT ALBANY · PI TENENBAUM, SCOTT A · 2004 to 2005
$413k
In-vivo miRNA Detection Using Structurally Interacting RNA (sxRNA)R41GM097811 · NIGMS · HOCUSLOCUS, INC. · PI TENENBAUM, SCOTT A · 2011 to 2011
$294k
NHGRI NIH HHS R21 HG003679NHGRI NIH HHS U01 HG004571NIGMS NIH HHS R41 GM097811PHS HHS U01 FHG004571
6 · The paper itself

Abstract

Post-transcriptional regulation of messenger RNA contributes to numerous aspects of gene expression. The key component to this level of regulation is the interaction of RNA-binding proteins (RBPs) and their associated target mRNA. Splicing, stability, localization, translational efficiency, and alternate codon use are just some of the post-transcriptional processes regulated by RBPs. Central to our understanding of these processes is the need to characterize the network of RBP-mRNA associations and create a map of this functional post-transcriptional regulatory system. Here we provide a detailed methodology for mRNA isolation using RBP immunoprecipitation (RIP) as a primary partitioning approach followed by microarray (Chip) or next generation sequencing (NGS) analysis. We do this by using specific antibodies to target RBPs for the capture of associated RNA cargo. RIP-Chip/Seq has proven to be is a versatile, genomic technique that has been widely used to study endogenous RBP-RNA associations.

Indexed as

Gene Expression ProfilingRNA InterferenceAnimalsAntibodies, ImmobilizedBinding SitesChromatin ImmunoprecipitationChromosome MappingGene LibraryGene Regulatory NetworksHeLa CellsHumansOligonucleotide Array Sequence AnalysisPrincipal Component AnalysisProtein BindingReverse Transcriptase Polymerase Chain ReactionRNA-Binding ProteinsAntibodies, ImmobilizedRNA-Binding ProteinsRNA, MessengerMicroarray expression profilingmRNA localizationPost-TranscriptionRibonomicsRIP-ChipRIP-SeqRNA-binding proteins (RBPs)

Identifiers

PMID24257445
PMCPMC4004666
OpenAlexW2093104083

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.