Literature DB >> 18480540

Tissue microarray: a simple technology that has revolutionized research in pathology.

S Avninder1, K Ylaya, S M Hewitt.   

Abstract

Tissue microarray (TMA) technology is a high-throughput research tool, which has greatly facilitated and accelerated tissue analyses by in-situ technologies. TMAs are amenable to every research method that can be applied on the standard whole sections at enhanced speed. It plays a central role in target verification of results from cDNA arrays, expression profiling of tumors and tissues, and is proving to be a powerful platform for proteomic research. In this review article, primarily meant for students of pathology and oncology, we briefly discuss its basic methodology, applications and merits and limitations.

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Year:  2008        PMID: 18480540     DOI: 10.4103/0022-3859.40790

Source DB:  PubMed          Journal:  J Postgrad Med        ISSN: 0022-3859            Impact factor:   1.476


  18 in total

1.  A benchmark for comparing precision medicine methods in thyroid cancer diagnosis using tissue microarrays.

Authors:  Ching-Wei Wang; Yu-Ching Lee; Evelyne Calista; Fan Zhou; Hongtu Zhu; Ryohei Suzuki; Daisuke Komura; Shumpei Ishikawa; Shih-Ping Cheng
Journal:  Bioinformatics       Date:  2018-05-15       Impact factor: 6.937

2.  Prognostic significance of claudin expression changes in breast cancer with regional lymph node metastasis.

Authors:  A M Szasz; A M Tokes; M Micsinai; T Krenacs; Cs Jakab; L Lukacs; Zs Nemeth; Zs Baranyai; K Dede; L Madaras; J Kulka
Journal:  Clin Exp Metastasis       Date:  2010-10-21       Impact factor: 5.150

3.  In-house Manual Construction of High-Density and High-Quality Tissue Microarrays by Using Homemade Recipient Agarose-Paraffin Blocks.

Authors:  Kyu Ho Kim; Suk Jin Choi; Yeon Il Choi; Lucia Kim; In Suh Park; Jee Young Han; Joon Mee Kim; Young Chae Chu
Journal:  Korean J Pathol       Date:  2013-06-25

4.  Detection of glyco-mucin profiles improves specificity of MUC16 and MUC1 biomarkers in ovarian serous tumours.

Authors:  Sara Ricardo; Lara Marcos-Silva; Daniela Pereira; Rita Pinto; Raquel Almeida; Ola Söderberg; Ulla Mandel; Henrik Clausen; Ana Felix; Nuno Lunet; Leonor David
Journal:  Mol Oncol       Date:  2014-10-22       Impact factor: 6.603

5.  Wilms tumor-1, claudin-1 and ezrin are useful immunohistochemical markers that help to distinguish schwannoma from fibroblastic meningioma.

Authors:  Avninder Singh; Ashwani Kumar Mishra; Kris Ylaya; Stephen M Hewitt; Karam Chand Sharma; Sunita Saxena
Journal:  Pathol Oncol Res       Date:  2011-09-10       Impact factor: 3.201

6.  Evaluation of cytokeratin-19 in breast cancer tissue samples: a comparison of automatic and manual evaluations of scanned tissue microarray cylinders.

Authors:  Cristina Callau; Marylène Lejeune; Anna Korzynska; Marcial García; Gloria Bueno; Ramon Bosch; Joaquín Jaén; Guifré Orero; Teresa Salvadó; Carlos López
Journal:  Biomed Eng Online       Date:  2015-08-13       Impact factor: 2.819

7.  Mucins MUC16 and MUC1 are major carriers of SLe(a) and SLe(x) in borderline and malignant serous ovarian tumors.

Authors:  Sara Ricardo; Lara Marcos-Silva; Cristina Valente; Ricardo Coelho; Rosa Gomes; Leonor David
Journal:  Virchows Arch       Date:  2016-03-22       Impact factor: 4.064

8.  Image microarrays derived from tissue microarrays (IMA-TMA): New resource for computer-aided diagnostic algorithm development.

Authors:  Jennifer A Hipp; Jason D Hipp; Megan Lim; Gaurav Sharma; Lauren B Smith; Stephen M Hewitt; Ulysses G J Balis
Journal:  J Pathol Inform       Date:  2012-07-12

9.  Robust automated tumour segmentation on histological and immunohistochemical tissue images.

Authors:  Ching-Wei Wang; Dean Fennell; Ian Paul; Kienan Savage; Peter Hamilton
Journal:  PLoS One       Date:  2011-02-28       Impact factor: 3.240

10.  An alternative high output tissue microarray technique.

Authors:  Yuan Shi; Deming He; Yingyong Hou; Qin Hu; Chen Xu; Yalan Liu; Dongxian Jiang; Jieakesu Su; Haiying Zeng; Yunshan Tan
Journal:  Diagn Pathol       Date:  2013-01-21       Impact factor: 2.644

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