The Stanford Tissue Microarray Database

被引：65

作者：

Marinelli, Robert J. ^{[1
,2
]}

Montgomery, Kelli ^{[3
]}

Liu, Chih Long ^{[4
]}

Shah, Nigam H. ^{[4
]}

Prapong, Wijan ^{[4
]}

Nitzberg, Michael ^{[1
]}

Zachariah, Zachariah K. ^{[1
]}

Sherlock, Gavin J. ^{[5
]}

Natkunam, Yasodha ^{[3
]}

West, Robert B. ^{[3
]}

van de Rijn, Matt ^{[3
]}

Brown, Patrick O. ^{[1
,2
]}

Ball, Catherine A. ^{[1
]}

机构：

[1] Stanford Univ, Sch Med, Dept Biochem, Stanford, CA 94305 USA

[2] Stanford Univ, Sch Med, Howard Hughes Med Inst, Stanford, CA 94305 USA

[3] Stanford Univ, Sch Med, Dept Pathol, Stanford, CA 94305 USA

[4] Stanford Univ, Dept Med, Stanford, CA 94305 USA

[5] Stanford Univ, Sch Med, Dept Genet, Stanford, CA 94305 USA

来源：

NUCLEIC ACIDS RESEARCH | 2008年 / 36卷

关键词：

D O I：

10.1093/nar/gkm861

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

The Stanford Tissue Microarray Database (TMAD; http://tma.stanford.edu) is a public resource for disseminating annotated tissue images and associated expression data. Stanford University pathologists, researchers and their collaborators worldwide use TMAD for designing, viewing, scoring and analyzing their tissue microarrays. The use of tissue microarrays allows hundreds of human tissue cores to be simultaneously probed by antibodies to detect protein abundance (Immunohistochemistry; IHC), or by labeled nucleic acids (in situ hybridization; ISH) to detect transcript abundance. TMAD archives multi-wavelength fluorescence and bright-field images of tissue microarrays for scoring and analysis. As of July 2007, TMAD contained 205 161 images archiving 349 distinct probes on 1488 tissue microarray slides. Of these, 31 306 images for 68 probes on 125 slides have been released to the public. To date, 12 publications have been based on these raw public data. TMAD incorporates the NCI Thesaurus ontology for searching tissues in the cancer domain. Image processing researchers can extract images and scores for training and testing classification algorithms. The production server uses the Apache HTTP Server, Oracle Database and Perl application code. Source code is available to interested researchers under a no-cost license.

引用

页码：D871 / D877

页数：7

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