Evidence map›Paper›PMID 18326499›Full record

ArticleThe Journal of biological chemistry2008

Determination and functional analysis of the consensus binding site for TFII-I family member BEN, implicated in Williams-Beuren syndrome.

Maria B Lazebnik, Maria Isabel Tussie-Luna, Ananda L Roy

Open access · hybridAbstract read
In one paragraph

Article in The Journal of biological chemistry, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

13 citing papers in PubMed, 18 citations in OpenAlex.

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  8. Evolution of general transcription factors.Journal of molecular evolution · 2013
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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 at 2 institutions in 1 country.

Maria B LazebnikPrograms in Genetics, Tufts University School of Medicine, Boston, Massachusetts 02111, USA.
Maria Isabel Tussie-Luna
Ananda L Roy
Tufts University · USPediatrics and Genetics · US

Funding

NICHD NIH HHS HD04603
6 · The paper itself

Abstract

The ubiquitously expressed TFII-I family of multifunctional transcription factors is involved in gene regulation as well as signaling. Despite the fact that they share significant sequence homology, these factors exhibit varied and distinct functions. The lack of knowledge about its binding sites and physiological target genes makes it more difficult to assign a definitive function for the TFII-I-related protein, BEN. We set out to determine its optimal binding site with the notion of predicting its physiological target genes. Here we report the identification of an optimal binding sequence for BEN by SELEX (systematic evolution of ligands by exponential enrichment) and confirm the relevance of this sequence by functional assays. We further performed a data base search to assign genes that have this consensus site(s) and validate several candidate genes by quantitative PCR upon stable silencing of BEN and by chromatin immunoprecipitation assay upon stable expression of BEN. Given that haploinsufficiency in BEN is causative to Williams-Beuren syndrome, these results may further lead to the identification of a set of physiologically relevant target genes for BEN and may help identify molecular determinants of Williams-Beuren syndrome.

Indexed as

Gene Expression RegulationAnimalsBinding SitesChlorocebus aethiopsComputational BiologyCOS CellsHumansLigandsMiceModels, BiologicalMuscle ProteinsNuclear ProteinsProtein BindingTrans-ActivatorsTranscription FactorsWilliams SyndromeGTF2IRD1 protein, humanGtf2ird1 protein, mouseLigandsMuscle ProteinsNuclear ProteinsTrans-ActivatorsTranscription Factors

Identifiers

PMID18326499
PMCPMC2431064
OpenAlexW2079881052

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.