The Stanford Tissue Microarray Database

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.

[1]  Daniel L. Rubin,et al.  Ontology-based Annotation and Query of Tissue Microarray Data , 2006, AMIA.

[2]  Alberto Riva,et al.  Internet-based profiler system as integrative framework to support translational research , 2005, BMC Bioinformatics.

[3]  Yasodha Natkunam,et al.  Expression of the human germinal center-associated lymphoma (HGAL) protein, a new marker of germinal center B-cell derivation. , 2004, Blood.

[4]  Mark S. Tuttle,et al.  NCI Thesaurus: Using Science-Based Terminology to Integrate Cancer Research Results , 2004, MedInfo.

[5]  Robert J. Marinelli,et al.  The gene expression profile of extraskeletal myxoid chondrosarcoma , 2005, The Journal of pathology.

[6]  David R. Westhead,et al.  TmaDB: a repository for tissue microarray data , 2005, BMC Bioinformatics.

[7]  P. Furmanski,et al.  A rapid and efficient method for testing immunohistochemical reactivity of monoclonal antibodies against multiple tissue samples simultaneously. , 1987, Journal of immunological methods.

[8]  Caroline Kampf,et al.  Antibody-based proteomics for human tissue profiling; the Swedish Human Proteome Resource project (HPR) , 2005 .

[9]  J. Kononen,et al.  Tissue microarrays for high-throughput molecular profiling of tumor specimens , 1998, Nature Medicine.

[10]  Yu Rang Park,et al.  The tissue microarray object model: a data model for storage, analysis, and exchange of tissue microarray experimental data. , 2006, Archives of pathology & laboratory medicine.

[11]  Robert J. Marinelli,et al.  A landscape effect in tenosynovial giant-cell tumor from activation of CSF1 expression by a translocation in a minority of tumor cells. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[12]  G. Sherlock Analysis of large-scale gene expression data. , 2000, Current opinion in immunology.

[13]  Daniel G. O'Shea,et al.  The development and validation of the Virtual Tissue Matrix, a software application that facilitates the review of tissue microarrays on line , 2006, BMC Bioinformatics.

[14]  I. Lossos,et al.  The oncoprotein LMO2 is expressed in normal germinal-center B cells and in human B-cell lymphomas. , 2007, Blood.

[15]  D. Botstein,et al.  Cluster analysis and display of genome-wide expression patterns. , 1998, Proceedings of the National Academy of Sciences of the United States of America.

[16]  Ash A. Alizadeh,et al.  Software tools for high-throughput analysis and archiving of immunohistochemistry staining data obtained with tissue microarrays. , 2002, The American journal of pathology.

[17]  Yasodha Natkunam,et al.  Expression of the RNA-binding protein VICKZ in normal hematopoietic tissues and neoplasms. , 2007, Haematologica.

[18]  Erik K. Malm,et al.  A Human Protein Atlas for Normal and Cancer Tissues Based on Antibody Proteomics* , 2005, Molecular & Cellular Proteomics.

[19]  Ashok Patel,et al.  The tissue microarray data exchange specification: implementation by the Cooperative Prostate Cancer Tissue Resource , 2004, BMC Bioinformatics.

[20]  Hans Vrolijk,et al.  Automated acquisition of stained tissue microarrays for high-throughput evaluation of molecular targets. , 2003, The Journal of molecular diagnostics : JMD.

[21]  Amy V Kapp,et al.  Microvessel density and expression of vascular endothelial growth factor and its receptors in diffuse large B-cell lymphoma subtypes. , 2007, The American journal of pathology.

[22]  Michael Peacock,et al.  Hierarchical Clustering Analysis of Tissue Microarray Immunostaining Data Identifies Prognostically Significant Groups of Breast Carcinoma , 2004, Clinical Cancer Research.

[23]  Mattia Barbareschi,et al.  TMABoost: an integrated system for comprehensive management of tissue microarray data , 2006, IEEE Transactions on Information Technology in Biomedicine.

[24]  Robert J. Marinelli,et al.  Placental S100 (S100P) and GATA3: Markers for Transitional Epithelium and Urothelial Carcinoma Discovered by Complementary DNA Microarray , 2007, The American journal of surgical pathology.

[25]  C. M. Sperberg-McQueen,et al.  Extensible Markup Language (XML) , 1997, World Wide Web J..

[26]  F. Pontén,et al.  Antibody-based Proteomics for Human Tissue Profiling , 2005, Molecular & Cellular Proteomics.

[27]  Alok J. Saldanha,et al.  Java Treeview - extensible visualization of microarray data , 2004, Bioinform..

[28]  Heikki Helin,et al.  Nordic immunohistochemical quality control. , 2005, Croatian medical journal.

[29]  M. Rubin,et al.  Relational database structure to manage high-density tissue microarray data and images for pathology studies focusing on clinical outcome: the prostate specialized program of research excellence model. , 2001, The American journal of pathology.

[30]  Yasodha Natkunam,et al.  TMA-Combiner, a simple software tool to permit analysis of replicate cores on tissue microarrays , 2005, Modern Pathology.

[31]  Jules J. Berman,et al.  The tissue microarray data exchange specification: A community-based, open source tool for sharing tissue microarray data , 2003, BMC Medical Informatics Decis. Mak..

[32]  Martina Uray,et al.  TAMEE: data management and analysis for tissue microarrays , 2007, BMC Bioinformatics.