All three paralogs (CSRNP1, CSRNP2, and CSRNP3) bind an AGAGTG consensus based on SELEX experiments (PMID: 17726538)
Description
Description:
cysteine and serine rich nuclear protein 2 [Source:HGNC Symbol;Acc:HGNC:16006]
Entrez Summary
The protein encoded by this gene belongs to the CSRNP family of
nuclear proteins that share conserved regions, including cysteine- and
serine- rich regions, a basic domain, a transcriptional activation domain,
and bind the sequence 'AGAGTG', thus have the hallmark of transcription
factors. Studies in mice suggest that these genes may have redundant
functions. Alternatively spliced transcript variants have been found for this
gene. [provided by RefSeq, Aug 2011]
Vaquerizas 2009 TF classification
"a" Has direct evidence of TF function;
"b" Has evidence for an orthologous TF;
"c" contains likely DBDs, but has no functional evidence;
"x" is an unlikely TF such as predicted gene, genes with likely non-specific DBDs or that have function outside transcription;
"other" category contains proteins without clear DBDs they curated from external sources.
No
CisBP considers it as a TF?
No
TFclass considers it as a TF?
Yes
Has GO:0003700 "transcription factor activity, sequence-specific DNA binding"
Yes
GO-Info
GO:0001228 RNA polymerase II transcription regulatory region sequence-specific DNA binding transcription factor IEA - GO_REF:0000019 GO:0003700 sequence-specific DNA binding transcription factor activity ISS - PMID:17726538
Initial Assessment 1a1 Protein has a high confidence PWM (HT-SELEX, PBM or B1H model) or there is a crystal structure that supports sequence specific DNA binding;
1a2 There is high confidence data for a close ortholog (as defined in CisBP);
2a1 There is lower confidence direct evidence, such as a Jaspar, Hocomoco or Transfac model;
2a2 There is lower confidence evidence for an close ortholog;
3a There is decent circumstantial evidence for its role as a TF or not;
4a Two or more datasets predict it as a TF;
5a One of the source datasets predicts is as a TF
5a, one of the source datasets predicts is as a TF