Evidence map›Paper›PMID 17224917›Full record

ArticleMolecular systems biology2007

Tissue-specific regulatory elements in mammalian promoters.

Andrew D Smith, Pavel Sumazin, Michael Q Zhang

Open access · goldAbstract readComparative Study
In one paragraph

Article in Molecular systems biology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 4% 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

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 64 citations in OpenAlex.

  1. Pooled it
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  3. TSProm: Deciphering the Genomic Context of Tissue Specificity.bioRxiv : the preprint server for biology · 2025
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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.

Andrew D SmithCold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA.
Pavel Sumazin
Michael Q Zhang
Cold Spring Harbor Laboratory · USPortland State University · US

Funding

PROTEIN CODING GENES IN THE HUMAN GENOMER01HG001696 · NHGRI · UNIVERSITY OF TEXAS DALLAS · PI ZHANG, MICHAEL Q · 1997 to 2010
$5.1M
NHGRI NIH HHS HG001696NHGRI NIH HHS R01 HG001696
6 · The paper itself

Abstract

Transcription factor-binding sites and the cis-regulatory modules they compose are central determinants of gene expression. We previously showed that binding site motifs and modules in proximal promoters can be used to predict a significant portion of mammalian tissue-specific transcription. Here, we report on a systematic analysis of promoters controlling tissue-specific expression in heart, kidney, liver, pancreas, skeletal muscle, testis and CD4 T cells, for both human and mouse. We integrated multiple sources of expression data to compile sets of transcripts with strong evidence for tissue-specific regulation. The analysis of the promoters corresponding to these sets produced a catalog of predicted tissue-specific motifs and modules, and cis-regulatory elements. Predicted regulatory interactions are supported by statistical evidence, and provide a foundation for targeted experiments that will improve our understanding of tissue-specific regulatory networks. In a broader context, methods used to construct the catalog provide a model for the analysis of genomic regions that regulate differentially expressed genes.

Indexed as

Transcription, GeneticAlgorithmsAnimalsCD4-Positive T-LymphocytesComputational BiologyDatabases, GeneticGene Expression ProfilingHumansLiverMaleMiceMuscle, SkeletalMyocardiumOligonucleotide Array Sequence AnalysisPancreasPromoter Regions, GeneticRNA, Messenger

Identifiers

PMID17224917
PMCPMC1800356
OpenAlexW2061123083

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.