Referències

Articles

1. Gladyshev VN, Hatfield DL, Lobanov AV. Eukaryotic selenoproteins and selenoproteomes. Biochim Biophys Acta. 2009; 1790: 1424-1428.

2. Kryukov G.V., Castellano S., Novoselov S.V., Lobanov A.V., Zehtab O., Guigo R., Gladyshev V.N. Characterization of mammalian selenoproteomes. Science. 2003; 300:1439-1443.

3. Horibata Y., Hirabayashi Y. Identification and characterization of human ethanolaminephosphotransferase1. J. Lipid Res. 2007; 48:503-508

4. Castets P, Maugenre S, Gartioux C, Rederstorff M, Krol A, Lescure A, et al. Selenoprotein N is dynamically expressed during mouse development and detected early in muscle precursos. BMC Developmental Biology. 2009; 9:46.

5. Arbogast S, Ferreiro A. Selenoprotein N and Oxidative Stress: Characterisation of the role of a novel selenoprotein. Antioxidants & Redox Signaling. 2010; 12: 893-904.

6. Lescure A, Gautheret D, Carbon P, Krol A. Novel selenoproteins identified in silico and in vivo by using a conserved RNA structural motif. J. Biol. Chem. 1999; 274:38147-38154.

7. Petit N, Lescure A, Rederstorff M, Krol A, Moghadaszadeh B, Wewer U. M, Guicheney P. Selenoprotein N: an endoplasmic reticulum glycoprotein with an early developmental expression pattern. Hum. Molec. Genet. 2003; 12:1045-1053.

8. Stadtman TC. Selenocysteine. Annu REv Biochem 2006; 65: 83-100.

9. Arnér ES. What unique properties can arise with selenocysteine in place of cysteine?. Exp Cell Res. 2010 Mar 2

10. Burk RF. Molecular biology of selenium with implications for its metabolism. FASEB J. 1991 Jun;5(9):2274-2279.

11. Zhang Y, Romero H, Salinas G, Gladyshev VN.Dynamic evolution of selenocysteine utilization in bacteria: a balance between selenoprotein loss and evolution of selenocysteine from redox active cysteine residues. Genome Biol. 2006;7(10):R94.

12. Shchedrina V.A., Novoselov S.V., Malinouski M.Y.,Gladyshev V.N.Identification and characterization of a selenoprotein family containing a diselenide bond in a redox motif. PNAS.2007;104:13919-13924.

13. Chapple C.E., Guigó R., Krol A. SECISaln, a web-based tool for the creation of structure-based alignments of eukaryotic SECIS elements. Bioinformatics. 2009; 25: 674-675.

14. Castellano S., Gladyshev N.V., Guigó R., Berry M.J. SelenoDB 1.0: a database of selenoprotein genes, proteins and SECIS elements. Nucleic Acids Research. 2008; 36: 332-338.

Softwares

1. BLAST (tBLASTn)

2. T-Coffee

3. GeneWise

4. SECISearch

5. Exonerate


Bases de dades

1. Ensembl

2. NCBI

3. SelenoDB