Evidence map›Paper›PMID 17038566›Full record

ArticleGenome research2006

Experimental validation of predicted mammalian erythroid cis-regulatory modules.

Hao Wang, Ying Zhang, Yong Cheng, Yuepin Zhou, David C King, James Taylor, Francesca Chiaromonte, Jyotsna Kasturi, Hanna Petrykowska, Brian Gibb and 6 more

Abstract read
In one paragraph

Article in Genome research, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Insight into GATA1 transcriptional activity through interrogation of cis elements disrupted in human erythroid disorders.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
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  17. Article
  18. Article
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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

16 authors.

Hao WangCenter for Comparative Genomics and Bioinformatics of the Huck Institutes of Life Sciences, The Pennsylvania State University, University Park, Pennsylvania 16802, USA.
Ying Zhang
Yong Cheng
Yuepin Zhou
David C King
James Taylor
Francesca Chiaromonte
Jyotsna Kasturi
Hanna Petrykowska
Brian Gibb
Christine Dorman
Webb Miller
Louis C Dore
John Welch
Mitchell J Weiss
Ross C Hardison

Funding

SOFTWARE FOR ANALYZING BIOSEQUENCE DATAR01HG002238 · NHGRI · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI MILLER, WEBB COLBY · 2000 to 2010
$7.8M
Trim58 and the Ubiquitin Proteasome System in Erythro-megakaryopoiesisR01DK061692 · NIDDK · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI WEISS, MITCHELL J · 2002 to 2018
$5.6M
Global Predictions and Tests of Erythroid RegulationR01DK065806 · NIDDK · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI BLOBEL, GERD A, CHIAROMONTE, FRANCESCA · 2004 to 2013
$5.3M
Global Predictions and Tests of Hematopoietic RegulationR56DK065806 · NIDDK · PENNSYLVANIA STATE UNIVERSITY, THE · PI BLOBEL, GERD A, BODINE, DAVID M. · 2014 to 2014
$224k
NHGRI NIH HHS HG02238NHGRI NIH HHS R01 HG002238NIDDK NIH HHS DK65806NIDDK NIH HHS R01 DK065806NIDDK NIH HHS R56 DK065806
6 · The paper itself

Abstract

Multiple alignments of genome sequences are helpful guides to functional analysis, but predicting cis-regulatory modules (CRMs) accurately from such alignments remains an elusive goal. We predict CRMs for mammalian genes expressed in red blood cells by combining two properties gleaned from aligned, noncoding genome sequences: a positive regulatory potential (RP) score, which detects similarity to patterns in alignments distinctive for regulatory regions, and conservation of a binding site motif for the essential erythroid transcription factor GATA-1. Within eight target loci, we tested 75 noncoding segments by reporter gene assays in transiently transfected human K562 cells and/or after site-directed integration into murine erythroleukemia cells. Segments with a high RP score and a conserved exact match to the binding site consensus are validated at a good rate (50%-100%, with rates increasing at higher RP), whereas segments with lower RP scores or nonconsensus binding motifs tend to be inactive. Active DNA segments were shown to be occupied by GATA-1 protein by chromatin immunoprecipitation, whereas sites predicted to be inactive were not occupied. We verify four previously known erythroid CRMs and identify 28 novel ones. Thus, high RP in combination with another feature of a CRM, such as a conserved transcription factor binding site, is a good predictor of functional CRMs. Genome-wide predictions based on RP and a large set of well-defined transcription factor binding sites are available through servers at http://www.bx.psu.edu/.

Indexed as

Amino Acid MotifsAmino Acid SequenceAnimalsBinding SitesChromatin ImmunoprecipitationConserved SequenceGATA1 Transcription FactorGene Expression ProfilingGenes, ReporterGenomeHumansK562 CellsLeukemia, Erythroblastic, AcuteMammalsMiceRegulatory Sequences, Nucleic AcidGATA1 Transcription Factor

Identifiers

PMID17038566
PMCPMC1665632

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.