Dhir Rajiv
Department of Pathology, UPMC Shadyside-Presbyterian Hospital, Pittsburgh, PA, USA.
Methods Mol Biol. 2008;441:91-103. doi: 10.1007/978-1-60327-047-2_6.
Traditionally, screening for new markers involves using a slide from each of several different patients. A more efficient way is to have one slide that contains several minute specimens, one from each patient. These slides are prepared by transferring paraffin tissue cores from many "donor" blocks to one "recipient" block. Each slide cut from this recipient block is called a tissue microarray (TMA) slide. It can have various histological types of disease that need to be compared or can have the same histological type but different behavior (e.g., responders versus non-responders, etc.). TMAs are ideal for efficient screening of prospective biomarkers by a variety of different mechanisms including immunohistochemistry, fluorescence in situ hybridization of nucleic acids (FISH) and RNA in situ hybridization. Selection and number of cases from patient subsets in a given microarray slide is amenable to statistical modeling to enhance analysis of results. In addition, different microarrays can be constructed to answer different scientific questions. The microarrays can also be produced from retrospective paraffin blocks of well-characterized cases, with clinical follow-up. The TMA slides can be "whole-slide" imaged. This provides a mechanism to share results of experiments with other investigators. There are also ongoing efforts to generate software tools for automated analysis of TMA localization data. There has also been a significant body of work done to standardize data capture, thus facilitating subsequent exchange of information. The preferred current mechanism is to use an "XLM"-based data capture and transfer. There have also been efforts to create "frozen" TMAs. This has been attempted using "donor" frozen tissues embedded in OCT compound. These samples are then arrayed into a recipient OCT block. The presence of OCT can sporadically interfere with certain assays. However, it does provide a novel mechanism for high-throughput evaluation of frozen tissue, with corresponding visualization of tissue morphology.
传统上,筛选新标志物需要使用来自几个不同患者的载玻片。一种更有效的方法是使用一张载玻片,其中包含几个微小样本,每个样本来自一个患者。这些载玻片是通过将石蜡组织芯从许多“供体”块转移到一个“受体”块来制备的。从这个受体块切下的每张载玻片都称为组织微阵列(TMA)载玻片。它可以包含需要比较的各种组织学类型的疾病,也可以具有相同的组织学类型但行为不同(例如,反应者与无反应者等)。TMA非常适合通过多种不同机制高效筛选潜在生物标志物,包括免疫组织化学、核酸荧光原位杂交(FISH)和RNA原位杂交。给定微阵列载玻片中患者亚组的病例选择和数量适合进行统计建模,以增强结果分析。此外,可以构建不同的微阵列来回答不同的科学问题。微阵列也可以从具有明确特征且有临床随访的回顾性石蜡块中制备。TMA载玻片可以进行“全玻片”成像。这提供了一种与其他研究人员共享实验结果的机制。目前也在努力开发用于自动分析TMA定位数据的软件工具。为了标准化数据捕获也进行了大量工作,从而促进后续信息交换。目前首选的机制是使用基于“XLM”的数据捕获和传输。也有人努力创建“冷冻”TMA。这已尝试使用嵌入OCT化合物中的“供体”冷冻组织来进行。然后将这些样本排列到一个受体OCT块中。OCT的存在偶尔会干扰某些检测。然而,它确实为冷冻组织的高通量评估提供了一种新机制,并能相应地可视化组织形态。