Evidence map›Paper›PMID 19865592›Full record

ArticleAdvances in bioinformatics2008

Genomic promoter analysis predicts functional transcription factor binding.

J Sunil Rao, Suresh Karanam, Colleen D McCabe, Carlos S Moreno

Abstract read
In one paragraph

Article in Advances in bioinformatics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

4 authors.

J Sunil RaoDepartment of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH 44106, USA.
Suresh Karanam
Colleen D McCabe
Carlos S Moreno

Funding

Developmental Transcription Factors in Prostate CancerR01CA106826 · NCI · EMORY UNIVERSITY · PI MORENO, CARLOS SANCHEZ · 2005 to 2013
$2.6M
BREAST CANCER/BONE MARROW STROMAL INTERACTIONSR01CA089868 · NCI · UNIV OF MED/DENT OF NJ-NJ MEDICAL SCHOOL · PI RAMESHWAR, PRANELA · 2000 to 2003
$873k
Quality Threshold Analysis of Prostate CancersK22CA096560 · NCI · EMORY UNIVERSITY · PI MORENO, CARLOS S · 2002 to 2004
$453k
NCI NIH HHS K22 CA096560NCI NIH HHS R01 CA089868NCI NIH HHS R01 CA106826
6 · The paper itself

Abstract

Background. The computational identification of functional transcription factor binding sites (TFBSs) remains a major challenge of computational biology. Results. We have analyzed the conserved promoter sequences for the complete set of human RefSeq genes using our conserved transcription factor binding site (CONFAC) software. CONFAC identified 16296 human-mouse ortholog gene pairs, and of those pairs, 9107 genes contained conserved TFBS in the 3 kb proximal promoter and first intron. To attempt to predict in vivo occupancy of transcription factor binding sites, we developed a novel marginal effect isolator algorithm that builds upon Bayesian methods for multigroup TFBS filtering and predicted the in vivo occupancy of two transcription factors with an overall accuracy of 84%. Conclusion. Our analyses show that integration of chromatin immunoprecipitation data with conserved TFBS analysis can be used to generate accurate predictions of functional TFBS. They also show that TFBS cooccurrence can be used to predict transcription factor binding to promoters in vivo.

Identifiers

PMID19865592
PMCPMC2768302

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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.