| ID | Sequence | Length | GC content |
|---|---|---|---|
| AGUGACCCAGGAGCUGACACACUAUGGCGCACGUCCGAGGCUUGCAGCU… | 1990 nt | 0.5829 |
This gene encodes the prothrombin protein (also known as coagulation factor II ). This protein is proteolytically cleaved in multiple steps to form the activated serine protease thrombin. The activated thrombin enzyme plays an important role in thrombosis and hemostasis by converting fibrinogen to fibrin during blood clot formation, by stimulating platelet aggregation, and by activating additional coagulation factor s. Thrombin also plays a role in cell proliferation, tissue repair, and angiogenesis as well as maintaining vascular integrity during development and postnatal life. Peptides derived from the C-terminus of this protein have antimicrobial activity against E. coli and P. aeruginosa. Mutations in this gene lead to various forms of thrombosis and dysprothrombinemia. Rapid increases in cytokine levels following coronavirus infections can dysregulate the coagulation cascade and produce thrombosis, compromised blood supply, and organ failure. [provided by RefSeq, May 2020]
A study in human cadavers demonstrated that the F2 gene, used as one of eight liver-specific biomarkers in a targeted RNA massively parallel sequencing assay, showed expression that ceased after approximately four days postmortem, with the assay successfully identifying liver tissue in all 27 analyzed samples with 98–100% of reads mapping to the liver biomarkers [Javan et al. DOI:10.1038/s41598-020-63727-9]. In a separate study in rats, the F2 gene was identified as significantly altered in expression on day 1 following a 20% total body surface area burn injury, indicating its involvement in the hepatic inflammatory response [Jayaraman et al. DOI:10.1016/j.jss.2007.05.025]. A study in human blood plasma demonstrated that the F2 (prothrombin) was significantly downregulated with age and was used as part of a 21-protein panel to build chronological age-predictive models [Salignon et al. DOI:10.18632/aging.204787]. The protein-based model achieved an R² of 0.59 ± 0.02, and combining this proteomic data with miRNA data significantly improved prediction accuracy to an R² of 0.70 ± 0.01, capturing a broader range of age-related physiological changes.