Evidence map›Paper›PMID 18615256›Full record

ArticleMolecular genetics and genomics : MGG2008

Computational identification of transcription frameworks of early committed spermatogenic cells.

Claudia Lalancette, Adrian E Platts, Yi Lu, Shiyong Lu, Stephen A Krawetz

Abstract read
In one paragraph

Article in Molecular genetics and genomics : MGG, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
0.6field-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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. 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

5 authors at 3 institutions in 1 country.

Claudia LalancetteCenter for Molecular Medicine and Genetics, Wayne State University School of Medicine, 275 East Hancock, Detroit, MI 48201, USA. claudia@compbio.med.wayne.edu
Adrian E Platts
Yi Lu
Shiyong Lu
Stephen A Krawetz
Detroit Medical Center · USWayne State University · USPrairie View A&M University · US

Funding

GENETIC MECHANISMS THAT POTENTIATE HUMAN SPERMATOGENESISR01HD036512 · NICHD · WAYNE STATE UNIVERSITY · PI KRAWETZ, STEPHEN A · 1999 to 2009
$2.1M
NICHD NIH HHS HD 36512NICHD NIH HHS R01 HD036512
6 · The paper itself

Abstract

It is known that transcription factors (TFs) work in cooperation with each other to govern gene expression and thus single TF studies may not always reflect the underlying biology. Using microarray data obtained from two independent studies of the first wave of spermatogenesis, we tested the hypothesis that co-expressed spermatogenic genes in cells committed to differentiation are regulated by a set of distinct combinations of TF modules. A computational approach was designed to identify over-represented module combinations in the promoter regions of genes associated with transcripts that either increase or decrease in abundance between the first two major spermatogenic cell types: spermatogonia and spermatocytes. We identified five TFs constituting four module combinations that were correlated with expression and repression of similarly regulated genes. These modules were biologically assessed in the context that they represent the key transcriptional mediators in the developmental transition from the spermatogonia to spermatocyte.

Indexed as

Cell LineageComputational BiologyTranscription, GeneticAnimalsCell NucleusMaleMiceMice, Inbred C57BLRNA, MessengerSpermatocytesSpermatogoniaSTAT1 Transcription FactorSTAT3 Transcription FactorRNA, MessengerSTAT1 Transcription FactorSTAT3 Transcription Factor

Identifiers

PMID18615256
PMCPMC3837529
OpenAlexW2027337505

What OpenQuestion holds

Textmetadata
LicenceTDM
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.