Literature DB >> 12482497

Tissue microarrays for miniaturized high-throughput molecular profiling of tumors.

Ronald Simon1, Guido Sauter.   

Abstract

New high-throughput screening technologies such as complementary (cDNA) microarrays allow identification of hundreds of candidate genes in one experiment. To prioritize the leads obtained in such studies, it is necessary to analyze a large number of tissues for candidate gene expression. Tissue microarray (TMA) technology greatly facilitates such analyses. In this method, hundreds of minute tissue samples (0.6-mm diameter) can be placed on one microscope glass slide. The TMA approach allows simultaneous analysis of all tissues with in situ methods (immunohistochemistry, fluorescence in situ hybridization, RNA in situ hybridization) of all tumors in one experiment under highly standardized conditions. TMAs are not restricted to solid tumors but can be manufactured from a variety of other sources, including cell lines, xenografts, and hematologic tissues. In addition to tumor type-specific applications that comprise large numbers of one particular tumor type with extensive histopathologic and clinical data, TMAs are well suited for large-scale molecular epidemiologic studies. For example, genes of interest can be analyzed in multitissue TMAs containing a variety of different human normal tissues and tumor entities. Once tumor types are identified, where a given molecular alteration plays a role, the clinical significance of this molecular alteration can be investigated on tumor-specific TMAs. Thus, TMA technology allows miniaturized high-throughput molecular epidemiologic studies. The TMA technique will markedly accelerate the transition from basic research to clinical applications.

Entities:  

Mesh:

Year:  2002        PMID: 12482497     DOI: 10.1016/s0301-472x(02)00965-7

Source DB:  PubMed          Journal:  Exp Hematol        ISSN: 0301-472X            Impact factor:   3.084


  22 in total

Review 1.  [Tissue microarrays. High-throughput procedures to verify potential biomarkers].

Authors:  R Kuefer; M D Hofer; J E Gschwend; M A Rubin
Journal:  Urologe A       Date:  2004-06       Impact factor: 0.639

Review 2.  Tissue microarrays in clinical oncology.

Authors:  David Voduc; Challayne Kenney; Torsten O Nielsen
Journal:  Semin Radiat Oncol       Date:  2008-04       Impact factor: 5.934

3.  RAD52 polymorphisms contribute to the development of papillary thyroid cancer susceptibility in Middle Eastern population.

Authors:  A K Siraj; M Al-Rasheed; M Ibrahim; K Siddiqui; F Al-Dayel; O Al-Sanea; S Uddin; K Al-Kuraya
Journal:  J Endocrinol Invest       Date:  2008-10       Impact factor: 4.256

Review 4.  Virtual microscopy as an enabler of automated/quantitative assessment of protein expression in TMAs.

Authors:  Catherine Conway; Lynne Dobson; Anthony O'Grady; Elaine Kay; Sean Costello; Daniel O'Shea
Journal:  Histochem Cell Biol       Date:  2008-08-05       Impact factor: 4.304

Review 5.  Advancement of mass spectrometry-based proteomics technologies to explore triple negative breast cancer.

Authors:  Sayem Miah; Charles A S Banks; Mark K Adams; Laurence Florens; Kiven E Lukong; Michael P Washburn
Journal:  Mol Biosyst       Date:  2016-12-20

6.  Application of new tissue microarrayer-ZM-1 without recipient paraffin block.

Authors:  Pan-Qing Meng; Gang Hou; Gui-Ying Zhou; Jia-Ping Peng; Qi Dong; Shu Zheng
Journal:  J Zhejiang Univ Sci B       Date:  2005-09       Impact factor: 3.066

7.  Prognostic significance of CD44 expression in diffuse large B cell lymphoma of activated and germinal centre B cell-like types: a tissue microarray analysis of 90 cases.

Authors:  A Tzankov; A-C Pehrs; A Zimpfer; S Ascani; A Lugli; S Pileri; S Dirnhofer
Journal:  J Clin Pathol       Date:  2003-10       Impact factor: 3.411

8.  Expression of K19 and K7 in dysplastic nodules and hepatocellular carcinoma.

Authors:  Jun Sang Bae; Ha Na Choi; Sang Jae Noh; Byung Hyun Park; Kyu Yun Jang; Cheol Keun Park; Woo Sung Moon
Journal:  Oncol Lett       Date:  2012-05-25       Impact factor: 2.967

9.  Dual roles of the transcription factor grainyhead-like 2 (GRHL2) in breast cancer.

Authors:  Stefan Werner; Sabrina Frey; Sabine Riethdorf; Christian Schulze; Malik Alawi; Lea Kling; Vida Vafaizadeh; Guido Sauter; Luigi Terracciano; Udo Schumacher; Klaus Pantel; Volker Assmann
Journal:  J Biol Chem       Date:  2013-06-29       Impact factor: 5.157

10.  Resolving Interobserver Discrepancies in Lung Cancer Diagnoses by Spectral Histopathology.

Authors:  Ali Akalin; Ayşegül Ergin; Stanley Remiszewski; Xinying Mu; Dan Raz; Max Diem
Journal:  Arch Pathol Lab Med       Date:  2018-08-24       Impact factor: 5.534

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.