Literature DB >> 12966355

Simple, inexpensive method for automating tissue microarray production provides enhanced microarray reproducibility.

Brian E Matysiak1, Tracy Brodzeller, Sarah Buck, Anthony French, Cristin Counts, Brian Boorsma, Milton W Datta, Andre A Kajdacsy-Balla.   

Abstract

Tissue microarrays are a novel technology with the potential to impact cancer research by reducing the time, materials, and costs related to specimen-based marker validation. The process uses small cores of specimen tissue for molecular studies, maximizing the quantity of specimens that can be analyzed on a single slide and the results that can be obtained from a single antibody study. However, this process can be tedious and requires a significant time commitment for array production, particularly for the hand-produced tissue array blocks. In addition, this process has significant repetitive motions, risking repetitive stress injury for technical personnel. For these reasons, we have sought a simple, inexpensive system for automation of the existing microarray technologies. Using this system, slides containing as many as 400 specimens can be constructed in a simple and reproducible manner. Automation of the tissue microarray apparatus is accomplished by attaching two stepper motors to the micrometers of the apparatus that control array movement, and it has the advantages of standardizing the spacing between each specimen and eliminating repetitive motions by the user. A computer program is used to run the motors, allowing the user to input commands based on the desired moving distance. After assimilation of the motors, motor control boards, and corresponding program, the final product was tested and demonstrated to provide consistent, reproducible operation. Tissue microarrays were generated with specimen tissue diameters of 1.5 mm, 1.0 mm, and 0.6 mm with core densities upwards of 300 samples per slide.

Entities:  

Mesh:

Year:  2003        PMID: 12966355     DOI: 10.1097/00129039-200309000-00011

Source DB:  PubMed          Journal:  Appl Immunohistochem Mol Morphol        ISSN: 1533-4058


  10 in total

1.  Advances in cancer tissue microarray technology: Towards improved understanding and diagnostics.

Authors:  Wenjin Chen; David J Foran
Journal:  Anal Chim Acta       Date:  2006-01-23       Impact factor: 6.558

2.  ImageMiner: a software system for comparative analysis of tissue microarrays using content-based image retrieval, high-performance computing, and grid technology.

Authors:  David J Foran; Lin Yang; Wenjin Chen; Jun Hu; Lauri A Goodell; Michael Reiss; Fusheng Wang; Tahsin Kurc; Tony Pan; Ashish Sharma; Joel H Saltz
Journal:  J Am Med Inform Assoc       Date:  2011-05-23       Impact factor: 4.497

3.  Paxillin mediates extranuclear and intranuclear signaling in prostate cancer proliferation.

Authors:  Aritro Sen; Ismary De Castro; Donald B Defranco; Fang-Ming Deng; Jonathan Melamed; Payel Kapur; Ganesh V Raj; Randall Rossi; Stephen R Hammes
Journal:  J Clin Invest       Date:  2012-06-11       Impact factor: 14.808

4.  Tumor cell plasticity in uveal melanoma: microenvironment directed dampening of the invasive and metastatic genotype and phenotype accompanies the generation of vasculogenic mimicry patterns.

Authors:  Robert Folberg; Zarema Arbieva; Jonas Moses; Amin Hayee; Tone Sandal; Shrihari Kadkol; Amy Y Lin; Klara Valyi-Nagy; Suman Setty; Lu Leach; Patricia Chévez-Barrios; Peter Larsen; Dibyen Majumdar; Jacob Pe'er; Andrew J Maniotis
Journal:  Am J Pathol       Date:  2006-10       Impact factor: 4.307

5.  Estrogen-Induced Stromal FGF18 Promotes Proliferation and Invasion of Endometrial Carcinoma Cells Through ERK and Akt Signaling.

Authors:  Jian Wu; Xiang Tao; Hong Zhang; Xiang-Hua Yi; Yin-Hua Yu
Journal:  Cancer Manag Res       Date:  2020-08-04       Impact factor: 3.989

6.  Inhibition of prostate cancer proliferation by interference with SONIC HEDGEHOG-GLI1 signaling.

Authors:  Pilar Sanchez; Ana Maria Hernández; Barbara Stecca; Andrea J Kahler; Amy M DeGueme; Andrea Barrett; Mercedes Beyna; Milton W Datta; Sumana Datta; Ariel Ruiz i Altaba
Journal:  Proc Natl Acad Sci U S A       Date:  2004-08-16       Impact factor: 11.205

Review 7.  Practical aspects of planning, building, and interpreting tissue microarrays: the Cooperative Prostate Cancer Tissue Resource experience.

Authors:  A Kajdacsy-Balla; J M Geynisman; V Macias; S Setty; N M Nanaji; J J Berman; K Dobbin; J Melamed; X Kong; M Bosland; J Orenstein; J Bayerl; M J Becich; R Dhir; M W Datta
Journal:  J Mol Histol       Date:  2007-02-21       Impact factor: 3.156

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.  Decentralized data sharing of tissue microarrays for investigative research in oncology.

Authors:  Wenjin Chen; Cristina Schmidt; Manish Parashar; Michael Reiss; David J Foran
Journal:  Cancer Inform       Date:  2007-06-06

Review 10.  Tissue Microarray: A rapidly evolving diagnostic and research tool.

Authors:  Nazar M T Jawhar
Journal:  Ann Saudi Med       Date:  2009 Mar-Apr       Impact factor: 1.526

  10 in total

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