TIP, a T-cell factor identified using high-throughput screening increases survival in a graft-versus-host disease model-Reference-Cited by-同舟云学术

TIP, a T-cell factor identified using high-throughput screening increases survival in a graft-versus-host disease model

Published:2003-02-24 Issue:3 Volume:21 Page:302-307
ISSN:1087-0156
Container-title:Nature Biotechnology
language:en
Short-container-title:Nat Biotechnol

Author:

Fiscella Michele,Perry James W.,Teng Baiqin,Bloom Michael,Zhang Chen,Leung Kam,Pukac Laurie,Florence Kimberly,Concepcion Alice,Liu Binjun,Meng Ying,Chen Cecil,Cochrane Elgin Erika,Kanakaraj Palanisamy,Kaufmann Thomas E.,Porter Joelle,Cibotti Ricardo,Mei Yun,Zhou Joe,Chen Guoxian,Roschke Viktor,Komatsoulis George,Mansfield Brian,Ruben Steve,Sanyal Indra,Migone Thi-Sau

Publisher

Springer Science and Business Media LLC

Subject

Biomedical Engineering,Molecular Medicine,Applied Microbiology and Biotechnology,Bioengineering,Biotechnology

Link

http://www.nature.com/articles/nbt797.pdf

Reference19 articles.

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3. Eddy, S.R. Profile hidden Markov models. Bioinformatics 14, 755–763 (1998).

4. Nielsen, H., Engelbrecht, J., Brunak, S. & von Heijne, G. Identification of prokaryotic and eukaryotic signal peptides and prediction of their cleavage sites. Protein Eng. 10, 1–6 (1997).

5. Barash, S., Wei, W., & Shi, Y. Human secretory signal peptide description by hidden Markov model and generation of a strong artificial signal peptide for secreted protein expression. Biochem. Biophys. Res. Commun. 224, 835–842 (2002).

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