Genome-scale identification of membrane-associated human mRNAs

被引:68
作者
Diehn, Maximilian
Bhattacharya, Ramona
Botstein, David
Brown, Patrick O. [1 ]
机构
[1] Stanford Univ, Sch Med, Dept Biochem, Stanford, CA 94305 USA
[2] Stanford Univ, Sch Med, Dept Radiat Oncol, Stanford, CA 94305 USA
[3] Stanford Univ, Sch Med, Dept Genet, Stanford, CA 94305 USA
[4] Princeton Univ, Lewis Sigler Inst Integrat Genom, Princeton, NJ 08544 USA
[5] Stanford Univ, Sch Med, Howard Hughes Med Inst, Stanford, CA 94305 USA
来源
PLOS GENETICS | 2006年 / 2卷 / 01期
关键词
D O I
10.1371/journal.pgen.0020011
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
The subcellular localization of proteins is critical to their biological roles. Moreover, whether a protein is membrane-bound, secreted, or intracellular affects the usefulness of, and the strategies for, using a protein as a diagnostic marker or a target for therapy. We employed a rapid and efficient experimental approach to classify thousands of human gene products as either "membrane-associated/secreted'' ( MS) or "cytosolic/nuclear'' (CN). Using subcellular fractionation methods, we separated mRNAs associated with membranes from those associated with the soluble cytosolic fraction and analyzed these two pools by comparative hybridization to DNA microarrays. Analysis of 11 different human cell lines, representing lymphoid, myeloid, breast, ovarian, hepatic, colon, and prostate tissues, identified more than 5,000 previously uncharacterized MS and more than 6,400 putative CN genes at high confidence levels. The experimentally determined localizations correlated well with in silico predictions of signal peptides and transmembrane domains, but also significantly increased the number of human genes that could be cataloged as encoding either MS or CN proteins. Using gene expression data from a variety of primary human malignancies and normal tissues, we rationally identified hundreds of MS gene products that are significantly overexpressed in tumors compared to normal tissues and thus represent candidates for serum diagnostic tests or monoclonal antibody-based therapies. Finally, we used the catalog of CN gene products to generate sets of candidate markers of organ-specific tissue injury. The large- scale annotation of subcellular localization reported here will serve as a reference database and will aid in the rational design of diagnostic tests and molecular therapies for diverse diseases.
引用
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页码:39 / 50
页数:12
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