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Integration and Validation of RNA ISH Multispectral Imaging and Analysis Protocols into a Core Environment

机译:将RNA ISH多光谱成像和分析协议集成和验证到核心环境中

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摘要

Identification of biomarkers is a major goal of personalized medicine. Large transcriptome screens have identified new targets and molecular signatures for disease sub-types. However, tissue spatial information, which fundamentally alters in vivo cell behavior and gene expression, is lost. To understand spatial context and validate bulk tissue screens, most researchers rely exclusively on antibodies and immunostaining assays. Unfortunately, this is either not the appropriate choice for some targets, such as long non-coding RNAs, or it is not feasible because no reliable antibodies exist. To address these issues, we have established an alternative work-flow incorporating RNA in situ hybridization (CISH and FISH), whole slide and/or multispectral scanning and image analysis.
机译:生物标志物的鉴定是个性化医学的主要目标。大型转录组筛选已确定疾病亚型的新靶标和分子标记。但是,从根本上改变体内细胞行为和基因表达的组织空间信息丢失了。为了了解空间背景并验证大块组织筛查,大多数研究人员仅依靠抗体和免疫染色测定法。不幸的是,这对于某些目标(例如长的非编码RNA)不是适当的选择,或者由于不存在可靠的抗体而不可行。为了解决这些问题,我们建立了一个替代性的工作流程,其中包含RNA原位杂交(CISH和FISH),全玻片和/或多光谱扫描和图像分析。

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