Literature DB >> 16899763

An agarose matrix facilitates sectioning of tissue microarray blocks.

Pu Yan1, Walter Seelentag, Astrid Bachmann, Fred T Bosman.   

Abstract

Tissue microarray (TMA) is a powerful, high-throughput technique for in situ investigation of biomarkers in many tissue samples in a paraffin block by immunohistochemistry or fluorescence in situ hybridization (FISH), and has rapidly become the standard in marker studies. One of the difficult steps in the procedure is the sectioning of array blocks and mounting of sections using special slides and/or adhesive-coated tape, which demands specific experience and is time-consuming. We report an arraying method that allows melting of the receiving paraffin block and subsequent sectioning like any ordinary paraffin-embedded tissue block. The major difference from the standard microarray technique is the use of an agarose matrix in the recipient block. The agarose matrix allows melting of the paraffin without disturbing the array, resulting in perfect integration of the tissue cores. The agarose-paraffin TMA blocks limit tissue core loss during cutting, mounting, or immunohistochemical or FISH staining and better maintains the array.

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Year:  2006        PMID: 16899763     DOI: 10.1369/jhc.6A6987.2006

Source DB:  PubMed          Journal:  J Histochem Cytochem        ISSN: 0022-1554            Impact factor:   2.479


  12 in total

1.  Optimization of Tissue Microarrays from Banked Human Formalin-Fixed Paraffin Embedded Tissues in the Cancer Research Setting.

Authors:  Tammy Sexton; Gregory L Kucera; Edward A Levine; Kounosuke Watabe; Stacey S O'Neill
Journal:  Biopreserv Biobank       Date:  2019-06-13       Impact factor: 2.300

2.  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

3.  Protein Analysis of Glioblastoma Primary and Posttreatment Pairs Suggests a Mesenchymal Shift at Recurrence.

Authors:  Matthew D Wood; Gerald F Reis; David E Reuss; Joanna J Phillips
Journal:  J Neuropathol Exp Neurol       Date:  2016-08-18       Impact factor: 3.685

4.  Coplanar embedding of multiple 3D cell models in hydrogel towards high-throughput micro-histology.

Authors:  Sarah Heub; Fatemeh Navaee; Daniel Migliozzi; Diane Ledroit; Stéphanie Boder-Pasche; Jonas Goldowsky; Emilie Vuille-Dit-Bille; Joëlle Hofer; Carine Gaiser; Vincent Revol; Laura Suter-Dick; Gilles Weder
Journal:  Sci Rep       Date:  2022-06-15       Impact factor: 4.996

5.  Altered expression of CD44 and DKK1 in the progression of Barrett's esophagus to esophageal adenocarcinoma.

Authors:  T Darlavoix; W Seelentag; P Yan; A Bachmann; F T Bosman
Journal:  Virchows Arch       Date:  2009-04-25       Impact factor: 4.064

6.  Simple method for constructing and repairing tissue microarrays using simple equipment.

Authors:  Wei Zhang; Fuman Qiu; Qingping Jiang; Shaoyan Liu; Zhongtang Xiong
Journal:  J Int Med Res       Date:  2021-03       Impact factor: 1.671

7.  Tissue matrix arrays for high-throughput screening and systems analysis of cell function.

Authors:  Vince Z Beachley; Matthew T Wolf; Kaitlyn Sadtler; Srikanth S Manda; Heather Jacobs; Michael R Blatchley; Joel S Bader; Akhilesh Pandey; Drew Pardoll; Jennifer H Elisseeff
Journal:  Nat Methods       Date:  2015-10-19       Impact factor: 28.547

Review 8.  Overview on Techniques to Construct Tissue Arrays with Special Emphasis on Tissue Microarrays.

Authors:  Ulrich Vogel
Journal:  Microarrays (Basel)       Date:  2014-04-17

9.  Identification of proteomic biomarkers predicting prostate cancer aggressiveness and lethality despite biopsy-sampling error.

Authors:  M Shipitsin; C Small; S Choudhury; E Giladi; S Friedlander; J Nardone; S Hussain; A D Hurley; C Ernst; Y E Huang; H Chang; T P Nifong; D L Rimm; J Dunyak; M Loda; D M Berman; P Blume-Jensen
Journal:  Br J Cancer       Date:  2014-07-17       Impact factor: 7.640

10.  Automated quantitative multiplex immunofluorescence in situ imaging identifies phospho-S6 and phospho-PRAS40 as predictive protein biomarkers for prostate cancer lethality.

Authors:  Michail Shipitsin; Clayton Small; Eldar Giladi; Summar Siddiqui; Sibgat Choudhury; Sadiq Hussain; Yi E Huang; Hua Chang; David L Rimm; David M Berman; Thomas P Nifong; Peter Blume-Jensen
Journal:  Proteome Sci       Date:  2014-07-12       Impact factor: 2.480

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