Protein DEPP
Protein DEPP also known as decidual protein induced by progesterone (DEPP) and fasting-induced gene protein (FIG) is a protein that in humans is encoded by the DEPP gene.[1]
Function
The expression of this gene is induced by fasting as well as by progesterone. The protein encoded by this gene contains a t-synaptosome-associated protein receptor (SNARE) coiled-coil homology domain and a peroxisomal targeting signal. Production of the encoded protein leads to phosphorylation and activation of the transcription factor ELK1.[1]
References
Further reading
- Hartley JL, Temple GF, Brasch MA (2001). “DNA cloning using in vitro site-specific recombination”. Genome Res. 10 (11): 1788–95. doi:10.1101/gr.143000. PMC 310948. PMID 11076863.
- Wiemann S, Arlt D, Huber W, et al. (2004). “From ORFeome to biology: a functional genomics pipeline”. Genome Res. 14 (10B): 2136–44. doi:10.1101/gr.2576704. PMC 528930. PMID 15489336.
- Shin D, Anderson DJ (2005). “Isolation of arterial-specific genes by subtractive hybridization reveals molecular heterogeneity among arterial endothelial cells”. Dev. Dyn. 233 (4): 1589–604. doi:10.1002/dvdy.20479. PMID 15977181.
- Watanabe H, Nonoguchi K, Sakurai T, et al. (2005). “A novel protein Depp, which is induced by progesterone in human endometrial stromal cells activates Elk-1 transcription factor”. Mol. Hum. Reprod. 11 (7): 471–6. doi:10.1093/molehr/gah186. PMID 16123073.
- Rual JF, Venkatesan K, Hao T, et al. (2005). “Towards a proteome-scale map of the human protein-protein interaction network”. Nature. 437 (7062): 1173–8. doi:10.1038/nature04209. PMID 16189514.
- Mehrle A, Rosenfelder H, Schupp I, et al. (2006). “The LIFEdb database in 2006”. Nucleic Acids Res. 34 (Database issue): D415–8. doi:10.1093/nar/gkj139. PMC 1347501. PMID 16381901.
- Lim J, Hao T, Shaw C, et al. (2006). “A protein-protein interaction network for human inherited ataxias and disorders of Purkinje cell degeneration”. Cell. 125 (4): 801–14. doi:10.1016/j.cell.2006.03.032. PMID 16713569.
This article incorporates text from the United States National Library of Medicine, which is in the public domain.
© 2026 MyEClinic – IFTM Institut für Telematik in der Medizin GmbH