TISSUES

Tissue expression database

JensenLab
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TRIM8 tissues

TRIM8 [ENSP00000496301]

E3 ubiquitin-protein ligase TRIM8; E3 ubiquitin-protein ligase which plays different roles in immune pathways. Participates in the activation of interferon-gamma signaling by promoting proteasomal degradation of the repressor SOCS1 . Plays a positive role in the TNFalpha and IL-1beta signaling pathways. Mechanistically, induces the 'lys-63' polyubiquitination of MAP3K7/TAK1 component leading to the activation of NF-kappa-B . Modulates also STAT3 activity through negative regulation of PIAS3, either by degradation of PIAS3 through the ubiquitin-proteasome pathway or exclusion of PIAS3 from the nucleus . ECO:0000269|PubMed:20516148, ECO:0000269|PubMed:22084099,

Synonyms:  TRIM8,  TRIM8p,  hTRIM8,  A0A2R8Y500,  A0A2R8Y580 ...

Linkouts:  STRING  Pharos  UniProt

0 1 2 3 4 5 Confidence

The tissue associations are derived from manually curated knowledge in UniProtKB and via automatic text mining of the biomedical literature, which has not been manually verified. The confidence of each association is signified by stars, where ★★★★★ is the highest confidence and ★☆☆☆☆ is the lowest. Download files from earlier versions are archived on figshare.

Each tissue–gene association is based on a text-mining score, which is proportional to 1) the absolute number of comentionings and 2) the ratio of observed to expected comentionings (i.e. the enrichment). These scores are normalized to z-scores by comparing them to a random background. This is represented by stars, each star corresponding to two standard deviations above the mean of the background distribution.

Developed by Alberto Santos, Oana Palasca, Christian Stolte, Kalliopi Tsafou, Sune Frankild, Janos Binder, Sean O'Donoghue, Jan Gorodkin, and Lars Juhl Jensen from the Novo Nordisk Foundation Center for Protein Research, Center for non-coding RNA in Technology and Health, and the Commonwealth Scientific and Industrial Research Organisation (CSIRO).

Currently maintained by Qingyao Huang at Swiss Institute of Bioinformatics, University of Zurich. Licensed under CC BY 4.0.