Evidence map›Paper›PMID 25958398›Full record

ReviewNucleic acids research2015

Design and bioinformatics analysis of genome-wide CLIP experiments.

Tao Wang, Guanghua Xiao, Yongjun Chu, Michael Q Zhang, David R Corey, Yang Xie

Abstract readReview
In one paragraph

Review in Nucleic acids research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing 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

45 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Review
  12. MicroRNA Targeting.Methods in molecular biology (Clifton, N.J.) · 2022
    Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. 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

6 authors.

Tao WangQuantitative Biomedical Research Center, University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, TX 75390, USA.
Guanghua XiaoQuantitative Biomedical Research Center, University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, TX 75390, USA.
Yongjun ChuDepartments of Pharmacology and Biochemistry, University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, TX 75390, USA.
Michael Q ZhangDepartment of Biological Sciences, Center for Systems Biology, The University of Texas at Dallas, Richardson, TX 75080, USA Bioinformatics Division, Center for Synthetic and System Biology, TNLIST, Tsinghua University, Beijing 100084, China.
David R CoreyDepartments of Pharmacology and Biochemistry, University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, TX 75390, USA.
Yang XieQuantitative Biomedical Research Center, University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, TX 75390, USA Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, TX 75390, USA yang.xie@utsouthwestern.edu.

Funding

Cell-based genomic analysis of molecular pathology in Mouse Models of Rett SyndromeR01MH102616 · NIMH · COLD SPRING HARBOR LABORATORY · PI HUANG, Z JOSH · 2014 to 2018
$3.8M
Integrative Analysis to Identify Therapeutic Targets for Lung CancerR01CA172211 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI XIAO, GUANGHUA · 2013 to 2017
$1.6M
Predicting Adjuvant Chemotherapy Response in Lung CancerR01CA152301 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI XIE, YANG · 2010 to 2014
$1.5M
Mechanism of RNA-Mediated Control of Transcription or SplicingR01GM106151 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI COREY, DAVID R · 2014 to 2016
$859k
NCI NIH HHS 1R01CA172211NCI NIH HHS 5R01CA152301NCI NIH HHS R01 CA172211NIGMS NIH HHS GM106151NIGMS NIH HHS R01 GM106151NIMH NIH HHS MH102616
6 · The paper itself

Abstract

The past decades have witnessed a surge of discoveries revealing RNA regulation as a central player in cellular processes. RNAs are regulated by RNA-binding proteins (RBPs) at all post-transcriptional stages, including splicing, transportation, stabilization and translation. Defects in the functions of these RBPs underlie a broad spectrum of human pathologies. Systematic identification of RBP functional targets is among the key biomedical research questions and provides a new direction for drug discovery. The advent of cross-linking immunoprecipitation coupled with high-throughput sequencing (genome-wide CLIP) technology has recently enabled the investigation of genome-wide RBP-RNA binding at single base-pair resolution. This technology has evolved through the development of three distinct versions: HITS-CLIP, PAR-CLIP and iCLIP. Meanwhile, numerous bioinformatics pipelines for handling the genome-wide CLIP data have also been developed. In this review, we discuss the genome-wide CLIP technology and focus on bioinformatics analysis. Specifically, we compare the strengths and weaknesses, as well as the scopes, of various bioinformatics tools. To assist readers in choosing optimal procedures for their analysis, we also review experimental design and procedures that affect bioinformatics analyses.

Indexed as

Databases, Nucleic AcidGenomicsHigh-Throughput Nucleotide SequencingImmunoprecipitationNucleotide MotifsRNARNA-Binding ProteinsSequence Analysis, RNASoftwareRNARNA-Binding Proteins

Identifiers

PMID25958398
PMCPMC4477666

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.