Prior knowledge about DNA-binding transcription factors (dbTFs), transcription co-regulators (coTFs) and general transcriptional factors (GTFs) is crucial for the study and understanding of the regulation of transcription. This is reflected by the many publications and database resources describing knowledge about TFs. We previously launched the TFCheckpoint database, an integrated resource focused on human, mouse and rat dbTFs, providing users access to a comprehensive overview of these proteins. Here, we describe TFCheckpoint 2.0 (https://www.tfcheckpoint.org/index.php), comprising 13 collections of dbTFs, coTFs and GTFs. TFCheckpoint 2.0 provides an easy and versatile cross-referencing system for users to view and download collections that may otherwise be cumbersome to find, compare and retrieve.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10767992PMC
http://dx.doi.org/10.1093/nar/gkad1030DOI Listing

Publication Analysis

Top Keywords

tfcheckpoint database
8
cross-referencing system
8
transcription factors
8
human mouse
8
mouse rat
8
tfcheckpoint
4
database update
4
update cross-referencing
4
transcription
4
system transcription
4

Similar Publications

Prior knowledge about DNA-binding transcription factors (dbTFs), transcription co-regulators (coTFs) and general transcriptional factors (GTFs) is crucial for the study and understanding of the regulation of transcription. This is reflected by the many publications and database resources describing knowledge about TFs. We previously launched the TFCheckpoint database, an integrated resource focused on human, mouse and rat dbTFs, providing users access to a comprehensive overview of these proteins.

View Article and Find Full Text PDF
Article Synopsis
  • The CXCL family, important growth factors linked to tumor development, show abnormal expression levels in Epstein-Barr virus-associated gastric cancer (EBVaGC), making their study crucial for understanding prognosis.
  • Researchers analyzed CXCL mRNA expression levels in cancer data, used statistical methods to evaluate prognostic significance, and identified related transcription factors and miRNAs.
  • Findings revealed significant differences in CXCL expression between EBVaGC and normal gastric tissues, with higher levels of certain CXCLs associated with better overall survival in patients.
View Article and Find Full Text PDF

A large gap remains between the amount of knowledge in scientific literature and the fraction that gets curated into standardized databases, despite many curation initiatives. Yet the availability of comprehensive knowledge in databases is crucial for exploiting existing background knowledge, both for designing follow-up experiments and for interpreting new experimental data. Structured resources also underpin the computational integration and modeling of regulatory pathways, which further aids our understanding of regulatory dynamics.

View Article and Find Full Text PDF

Transcription factors control which information in a genome becomes transcribed to produce RNAs that function in the biological systems of cells and organisms. Reliable and comprehensive information about transcription factors is invaluable for large-scale network-based studies. However, existing transcription factor knowledge bases are still lacking in well-documented functional information.

View Article and Find Full Text PDF

TFcheckpoint: a curated compendium of specific DNA-binding RNA polymerase II transcription factors.

Bioinformatics

October 2013

Department of Biology, Norwegian University of Science and Technology (NTNU), N-7491 Trondheim, Norway, Department of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology (NTNU), N-7489 Trondheim, Norway and Department of Technology, Sør-Trøndelag, University College, N-7004 Trondheim, Norway.

Summary: Gene regulatory network assembly and analysis requires high-quality knowledge sources that cover functional aspects of the various components of the gene regulatory machinery. A multiplicity of resources exists with information about mammalian transcription factors (TFs); yet, only few of these provide sufficiently accurate classifications of the functional roles of individual TFs, or standardized evidence that would justify the information on which these functional classifications are based. We compiled the list of all putative TFs from nine different resources, ignored factors such as general TFs, mediator complexes and chromatin modifiers, and for the remaining factors checked the available literature for references that support their function as a true sequence-specific DNA-binding RNA polymerase II TF (DbTF).

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!