| Literature DB >> 12598909 |
Michele Fiscella1, James W Perry, Baiqin Teng, Michael Bloom, Chen Zhang, Kam Leung, Laurie Pukac, Kimberly Florence, Alice Concepcion, Binjun Liu, Ying Meng, Cecil Chen, Erika Cochrane Elgin, Palanisamy Kanakaraj, Thomas E Kaufmann, Joelle Porter, Ricardo Cibotti, Yun Mei, Joe Zhou, Guoxian Chen, Viktor Roschke, George Komatsoulis, Brian Mansfield, Steve Ruben, Indra Sanyal, Thi-Sau Migone.
Abstract
A coordinated effort combining bioinformatic tools with high-throughput cell-based screening assays was implemented to identify novel factors involved in T-cell biology. We generated a unique library of cDNAs encoding predicted secreted and transmembrane domain-containing proteins generated by analyzing the Human Genome Sciences cDNA database with a combination of two algorithms that predict signal peptides. Supernatants from mammalian cells transiently transfected with this library were incubated with primary T cells and T-cell lines in several high-throughput assays. Here we describe the discovery of a T cell factor, TIP (T cell immunomodulatory protein), which does not show any homology to proteins with known function. Treatment of primary human and murine T cells with TIP in vitro resulted in the secretion of IFN-gamma, TNF-alpha, and IL-10, whereas in vivo TIP had a protective effect in a mouse acute graft-versus-host disease (GVHD) model. Therefore, combining functional genomics with high-throughput cell-based screening is a valuable and efficient approach to identifying immunomodulatory activities for novel proteins.Entities:
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Year: 2003 PMID: 12598909 DOI: 10.1038/nbt797
Source DB: PubMed Journal: Nat Biotechnol ISSN: 1087-0156 Impact factor: 54.908