TMA-combiner, a simple software tool to permit analysis of replicate cores on tissue microarrays

被引：31

作者：

Liu, CL

Montgomery, KD

Natkunam, Y

West, RB

Nielsen, TO

Cheang, MCU

Turbin, DA

Marinelli, RJ

van de Rijn, M

Higgins, JPT

机构：

[1] Harvard Univ, Sch Med, Div Med Sci, Biol & Biomed Sci Program, Cambridge, MA USA

[2] Stanford Univ, Sch Med, Dept Pathol, Stanford, CA USA

[3] Univ British Columbia, Vancouver Hosp, Genet Pathol Evaluat Ctr, Vancouver, BC, Canada

[4] British Columbia Canc Agcy, Vancouver, BC V5Z 4E6, Canada

[5] Stanford Univ, Sch Med, Dept Biochem, Stanford, CA USA

来源：

MODERN PATHOLOGY | 2005年 / 18卷 / 12期

基金：

美国国家科学基金会;

关键词：

immunohistochemistry; replicate; duplicate; bioinformatics;

D O I：

10.1038/modpathol.3800491

中图分类号：

R36 [病理学];

学科分类号：

100104 ;

摘要：

We have previously published a suite of software tools that facilitates the reformulation of tissue microarray ( TMA) data so that it may be analyzed using techniques originally devised for analysis of cDNA microarray data. However, current microarray data often feature multiple scores for a given tissue sample and antibody combination. Furthermore, an efficient and systematic method for combining scores that takes into account the differing staining properties of tissue epitopes has not been described. We thus present the TMA-Combiner, a new Microsoft Excel-based macro that permits analysis of data for which tissues may have two or more scores per antibody, and permits combination of data from multiple different tissue microarrays. It accomplishes this by rendering one score per tissue per antibody from two or more scores, using one of multiple user-selectable combination rules developed to account for the differing staining properties of tissue epitopes. This greatly facilitates analysis of tissue microarrays, particularly for users with large repositories of data, and may facilitate discovery of biological trends and help refine diagnostic accuracy of tissue markers in clinical samples.

引用

页码：1641 / 1648

页数：8

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