重新冲压组织微阵列是可能的:为什么这是有用的,以及如何做到这一点。

Aurélien Lacombe, Vincenza Carafa, Sandra Schneider, Melanie Sticker-Jantscheff, Luigi Tornillo, Serenella Eppenberger-Castori
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引用次数: 1

摘要

组织微阵列(TMA)方法允许同时分析以相同方式排列在受体块上的数百个组织标本。随后,所有样品都可以在相同的条件下处理,例如抗原提取程序、试剂浓度、抗体/探针的孵育时间,以及避免测定间的可变性。因此,TMA的使用彻底改变了组织病理学转化研究项目,并已成为一种经常用于假定生物标志物研究的工具。tma对于特定疾病实体的大规模分析尤为重要。在这些探索性研究的过程中,可以发现或确定罕见的亚群。这可以指低发病率的具有更特定表型或基因型疾病的患者亚群或接受特定治疗的患者。应该在以后的时间收集这些罕见的群体,以便进行更具体的调查,届时可能会有更多罕见身份的样本,并从伴随的调查中获得更多的知识,例如遗传调查。在本文中,我们首次分析了利用旧的可用阵列和补充供体块构建新的TMA块的限制和机会。总之,我们描述了构建罕见病实体数组的原因和技术细节。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Re-Punching Tissue Microarrays Is Possible: Why Can This Be Useful and How to Do It.

Tissue microarray (TMA) methodology allows the concomitant analysis of hundreds of tissue specimens arrayed in the same manner on a recipient block. Subsequently, all samples can be processed under identical conditions, such as antigen retrieval procedure, reagent concentrations, incubation times with antibodies/probes, and escaping the inter-assays variability. Therefore, the use of TMA has revolutionized histopathology translational research projects and has become a tool very often used for putative biomarker investigations. TMAs are particularly relevant for large scale analysis of a defined disease entity. In the course of these exploratory studies, rare subpopulations can be discovered or identified. This can refer to subsets of patients with more particular phenotypic or genotypic disease with low incidence or to patients receiving a particular treatment. Such rare cohorts should be collected for more specific investigations at a later time, when, possibly, more samples of a rare identity will be available as well as more knowledge derived from concomitant, e.g., genetic, investigations will have been acquired. In this article we analyze for the first time the limits and opportunities to construct new TMA blocks using tissues from older available arrays and supplementary donor blocks. In summary, we describe the reasons and technical details for the construction of rare disease entities arrays.

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来源期刊
自引率
0.00%
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0
审稿时长
11 weeks
期刊介绍: High-Throughput (formerly Microarrays, ISSN 2076-3905) is a multidisciplinary peer-reviewed scientific journal that provides an advanced forum for the publication of studies reporting high-dimensional approaches and developments in Life Sciences, Chemistry and related fields. Our aim is to encourage scientists to publish their experimental and theoretical results based on high-throughput techniques as well as computational and statistical tools for data analysis and interpretation. The full experimental or methodological details must be provided so that the results can be reproduced. There is no restriction on the length of the papers. High-Throughput invites submissions covering several topics, including, but not limited to: Microarrays, DNA Sequencing, RNA Sequencing, Protein Identification and Quantification, Cell-based Approaches, Omics Technologies, Imaging, Bioinformatics, Computational Biology/Chemistry, Statistics, Integrative Omics, Drug Discovery and Development, Microfluidics, Lab-on-a-chip, Data Mining, Databases, Multiplex Assays.
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