Literature DB >> 11269645

Tissue microarray: a new technology for amplification of tissue resources.

D L Rimm1, R L Camp, L A Charette, J Costa, D A Olsen, M Reiss.   

Abstract

Tissue microarrays are a method of harvesting small disks of tissue from a range of standard histologic sections and placing them in an array on a recipient paraffin block such that hundreds of cases can be analyzed simultaneously. This technique allows maximization of tissue resources by analysis of small-core biop sies of blocks, rather than complete sections. Using this technology, a carefully planned array can be constructed with cases from pathology tissue block archives, such that a 20-year survival analysis can be performed on a cohort of 600 or more patients by use of only a few microliters of antibody in a single experiment. The reflex criticism of this technique is that the tissue analyzed is not representative, especially in antigens with heterogeneous staining patterns. This review addresses this issue, as well as the issue of antigen preservation or durability, which validates construction of arrays from archives. Strategies and methods of construction and analysis of the arrays are discussed, as well as some other unusual array applications. This technique can provide a highly efficient, high-throughput mechanism for evaluation of protein expression in large cohorts. It has the potential to allow validation of new genes at a speed comparable to the rapid rate of gene discovery afforded by DNA microarrays.

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Year:  2001        PMID: 11269645

Source DB:  PubMed          Journal:  Cancer J        ISSN: 1528-9117            Impact factor:   3.360


  67 in total

1.  Unsupervised imaging, registration and archiving of tissue microarrays.

Authors:  Wenjin Chen; David J Foran; Michael Reiss
Journal:  Proc AMIA Symp       Date:  2002

2.  Robust segmentation of overlapping cells in histopathology specimens using parallel seed detection and repulsive level set.

Authors:  Xin Qi; Fuyong Xing; David J Foran; Lin Yang
Journal:  IEEE Trans Biomed Eng       Date:  2011-12-09       Impact factor: 4.538

3.  A novel method for preparation of tissue microarray.

Authors:  Han-Lei Dan; Ya-Li Zhang; Yan Zhang; Ya-Dong Wang; Zuo-Sheng Lai; Yu-Jie Yang; Hai-Hong Cui; Yan-Ting Jian; Jian Geng; Yan-Qing Ding; Chun-Hai Guo; Dian-Yuan Zhou
Journal:  World J Gastroenterol       Date:  2004-02-15       Impact factor: 5.742

4.  Expression of vascular endothelial growth factor receptor 2 (VEGFR-2), inducible nitric oxide synthase (iNOS), and Ki-M1P in skull base chordoma: a series of 145 tumors.

Authors:  R Akhavan-Sigari; M R Gaab; V Rohde; A Brandis; H Tezval; M Abili; K von Eckardstein; H Ostertag
Journal:  Neurosurg Rev       Date:  2013-09-03       Impact factor: 3.042

5.  Detection of human polyomavirus proteins, T-antigen and agnoprotein, in human tumor tissue arrays.

Authors:  Luis Del Valle; Kamel Khalili
Journal:  J Med Virol       Date:  2010-05       Impact factor: 2.327

6.  Ontology-based annotation and query of tissue microarray data.

Authors:  Nigam H Shah; Daniel L Rubin; Kaustubh S Supekar; Mark A Musen
Journal:  AMIA Annu Symp Proc       Date:  2006

7.  Analysis of protein expression in cell microarrays: a tool for antibody-based proteomics.

Authors:  Ann-Catrin Andersson; Sara Strömberg; Helena Bäckvall; Caroline Kampf; Mathias Uhlen; Kenneth Wester; Fredrik Pontén
Journal:  J Histochem Cytochem       Date:  2006-09-06       Impact factor: 2.479

8.  Pyruvate Kinase Muscle Isoenzyme 2 (PKM2) Expression Is Associated with Overall Survival in Pancreatic Ductal Adenocarcinoma.

Authors:  Natalie A Lockney; Manchao Zhang; Yanzhen Lu; Sabrina C Sopha; M Kay Washington; Nipun Merchant; Zhiguo Zhao; Yu Shyr; A Bapsi Chakravarthy; Fen Xia
Journal:  J Gastrointest Cancer       Date:  2015-12

9.  Renalase Expression by Melanoma and Tumor-Associated Macrophages Promotes Tumor Growth through a STAT3-Mediated Mechanism.

Authors:  Lindsay Hollander; Xiaojia Guo; Heino Velazquez; John Chang; Robert Safirstein; Harriet Kluger; Charles Cha; Gary V Desir
Journal:  Cancer Res       Date:  2016-05-09       Impact factor: 12.701

10.  Prognostic value of ki-67 in breast carcinoma: tissue microarray method versus whole section analysis- potentials and pitfalls.

Authors:  Natalija Dedić Plavetić; Jasminka Jakić-Razumović; Ana Kulić; Maja Sirotković-Skerlev; Marina Barić; Damir Vrbanec
Journal:  Pathol Oncol Res       Date:  2014-08-06       Impact factor: 3.201

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