RT Journal
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
JF Genome Research 
JO Genome Research 
YR 2003 
FD October 01 
VO 13 
IS 10 
SP 2265 
OP 2270 
DO 10.1101/gr.1293003 
UL http://genome.cshlp.org/content/13/10/2265.abstract 
AB 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.