TY  - JOUR
A1  - Clark, Hilary F.
A1  - Gurney, Austin L.
A1  - Abaya, Evangeline
A1  - Baker, Kevin
A1  - Baldwin, Daryl
A1  - Brush, Jennifer
A1  - Chen, Jian
A1  - Chow, Bernard
A1  - Chui, Clarissa
A1  - Crowley, Craig
A1  - Currell, Bridget
A1  - Deuel, Bethanne
A1  - Dowd, Patrick
A1  - Eaton, Dan
A1  - Foster, Jessica
A1  - Grimaldi, Christopher
A1  - Gu, Qimin
A1  - Hass, Philip E.
A1  - Heldens, Sherry
A1  - Huang, Arthur
A1  - Kim, Hok Seon
A1  - Klimowski, Laura
A1  - Jin, Yisheng
A1  - Johnson, Stephanie
A1  - Lee, James
A1  - Lewis, Lhney
A1  - Liao, Dongzhou
A1  - Mark, Melanie
A1  - Robbie, Edward
A1  - Sanchez, Celina
A1  - Schoenfeld, Jill
A1  - Seshagiri, Somasekar
A1  - Simmons, Laura
A1  - Singh, Jennifer
A1  - Smith, Victoria
A1  - Stinson, Jeremy
A1  - Vagts, Alicia
A1  - Vandlen, Richard
A1  - Watanabe, Colin
A1  - Wieand, David
A1  - Woods, Kathryn
A1  - Xie, Ming-Hong
A1  - Yansura, Daniel
A1  - Yi, Sothy
A1  - Yu, Guoying
A1  - Yuan, Jean
A1  - Zhang, Min
A1  - Zhang, Zemin
A1  - Goddard, Audrey
A1  - Wood, William I.
A1  - Godowski, Paul
T1  - The Secreted Protein Discovery Initiative (SPDI), a Large-Scale Effort to Identify Novel Human Secreted and Transmembrane Proteins: A Bioinformatics Assessment
Y1  - 2003/10/01 
JF  - Genome Research 
JO  - Genome Research 
SP  - 2265 
EP  - 2270 
DO  - 10.1101/gr.1293003 
VL  - 13 
IS  - 10 
UR  - http://genome.cshlp.org/content/13/10/2265.abstract 
N2  - A large-scale effort, termed the Secreted Protein Discovery Initiative (SPDI), was undertaken to identify novel secreted and transmembrane proteins. In the first of several approaches, a biological signal sequence trap in yeast cells was utilized to identify cDNA clones encoding putative secreted proteins. A second strategy utilized various algorithms that recognize features such as the hydrophobic properties of signal sequences to identify putative proteins encoded by expressed sequence tags (ESTs) from human cDNA libraries. A third approach surveyed ESTs for protein sequence similarity to a set of known receptors and their ligands with the BLAST algorithm. Finally, both signal-sequence prediction algorithms and BLAST were used to identify single exons of potential genes from within human genomic sequence. The isolation of full-length cDNA clones for each of these candidate genes resulted in the identification of >1000 novel proteins. A total of 256 of these cDNAs are still novel, including variants and novel genes, per the most recent GenBank release version. The success of this large-scale effort was assessed by a bioinformatics analysis of the proteins through predictions of protein domains, subcellular localizations, and possible functional roles. The SPDI collection should facilitate efforts to better understand intercellular communication, may lead to new understandings of human diseases, and provides potential opportunities for the development of therapeutics. 
ER  -