Evidence map›Paper›PMID 18981268›Full record

ArticleGenome research2008

Multigenome DNA sequence conservation identifies Hox cis-regulatory elements.

Steven G Kuntz, Erich M Schwarz, John A DeModena, Tristan De Buysscher, Diane Trout, Hiroaki Shizuya, Paul W Sternberg, Barbara J Wold

Open access · hybridAbstract read
In one paragraph

Article in Genome research, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed, 29 citations in OpenAlex.

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  14. Systems biology of embryogenesis.Reproduction, fertility, and development · 2010
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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

8 authors at 1 institution in 1 country.

Steven G KuntzDivision of Biology, California Institute of Technology, Pasadena, California 91125, USA.
Erich M Schwarz
John A DeModena
Tristan De Buysscher
Diane Trout
Hiroaki Shizuya
Paul W Sternberg
Barbara J Wold
California Institute of Technology · US

Funding

Howard Hughes Medical Institute
6 · The paper itself

Abstract

To learn how well ungapped sequence comparisons of multiple species can predict cis-regulatory elements in Caenorhabditis elegans, we made such predictions across the large, complex ceh-13/lin-39 locus and tested them transgenically. We also examined how prediction quality varied with different genomes and parameters in our comparisons. Specifically, we sequenced approximately 0.5% of the C. brenneri and C. sp. 3 PS1010 genomes, and compared five Caenorhabditis genomes (C. elegans, C. briggsae, C. brenneri, C. remanei, and C. sp. 3 PS1010) to find regulatory elements in 22.8 kb of noncoding sequence from the ceh-13/lin-39 Hox subcluster. We developed the MUSSA program to find ungapped DNA sequences with N-way transitive conservation, applied it to the ceh-13/lin-39 locus, and transgenically assayed 21 regions with both high and low degrees of conservation. This identified 10 functional regulatory elements whose activities matched known ceh-13/lin-39 expression, with 100% specificity and a 77% recovery rate. One element was so well conserved that a similar mouse Hox cluster sequence recapitulated the native nematode expression pattern when tested in worms. Our findings suggest that ungapped sequence comparisons can predict regulatory elements genome-wide.

Indexed as

Genes, HelminthGenes, HomeoboxAnimalsAnimals, Genetically ModifiedBase SequenceCaenorhabditis elegansConserved SequenceDNA, HelminthHomeodomain ProteinsMolecular Sequence DataPhylogenyRegulatory Sequences, Nucleic AcidSequence Analysis, DNATransgenesDNA, HelminthHomeodomain Proteins

Identifiers

PMID18981268
PMCPMC2593573
OpenAlexW2108248536

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.