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高通量研究项目中组织微阵列的人工评估:印度外科病理学对人类蛋白质图谱(HPA)项目的贡献。

Manual evaluation of tissue microarrays in a high-throughput research project: The contribution of Indian surgical pathology to the Human Protein Atlas (HPA) project.

作者信息

Navani Sanjay

机构信息

Lab Surgpath, Mumbai, India.

出版信息

Proteomics. 2016 Apr;16(8):1266-70. doi: 10.1002/pmic.201500409. Epub 2016 Mar 29.

DOI:10.1002/pmic.201500409
PMID:26748468
Abstract

The Human Protein Atlas (HPA) program (www.proteinatlas.org) is an international program that has been set up to allow for a systematic exploration of the human proteome using antibody-based proteomics. This is accomplished by combining high-throughput generation of affinity-purified (mono-specific) antibodies with protein profiling in a multitude of tissues/cell types assembled in tissue microarrays. Twenty-six surgical pathologists over a seven-and-half year period have annotated and curated approximately sixteen million tissue images derived from immunostaining of normal and cancer tissues by approximately 23 000 antibodies. Web-based annotation software that allows for a basic and rapid evaluation of immunoreactivity in tissues has been utilized. Intensity, fraction of immunoreactive cells and subcellular localization were recorded for each given cell population. A text comment summarizing the characteristics for each antibody was added. The methods used and the challenges encountered for this exercise, the largest effort ever by a single group of surgical pathologists, are discussed. Manual annotation of digital images is an important tool that may be successfully utilized in high-throughput research projects. This is the first time an Indian private pathology laboratory has been associated with cutting-edge research internationally providing a classic example of developed and emerging nation collaboration.

摘要

人类蛋白质图谱(HPA)计划(www.proteinatlas.org)是一项国际计划,旨在利用基于抗体的蛋白质组学对人类蛋白质组进行系统探索。这是通过将亲和纯化(单特异性)抗体的高通量生成与在组织微阵列中组装的多种组织/细胞类型中的蛋白质分析相结合来实现的。26名外科病理学家在七年半的时间里对约23000种抗体对正常组织和癌组织进行免疫染色得到的约1600万张组织图像进行了注释和整理。利用了基于网络的注释软件,该软件可以对组织中的免疫反应性进行基本和快速的评估。记录每个给定细胞群体的强度、免疫反应性细胞比例和亚细胞定位。添加了总结每种抗体特征的文本注释。讨论了此次由一组外科病理学家所做的最大规模工作所使用的方法和遇到的挑战。数字图像的手动注释是一种可在高通量研究项目中成功应用的重要工具。这是印度一家私立病理实验室首次参与国际前沿研究,为发达国家与新兴国家的合作提供了一个典型例子。

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