Expression and Mutation Analyses of Candidate Cancer Genes In Situ

作者: Sara Kiflemariam

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摘要: Tissue localization of gene expression is increasingly important for accurate interpretation large scale datasets from and mutational analyses. To this end, we have (1) developed a robust scalable procedure generation mRNA hybridization probes, providing >95% first-pass success rate in probe to any human target (2) adopted an automated staining analyses formalin-fixed paraffin-embedded tissues tissue microarrays. The situ protein patterns genes with known as well unknown were analyzed normal malignant assess specificity whether can be used validating novel antibodies. We demonstrate concordance between transcript the well-known pathology biomarkers KRT17, CHGA, MKI67, PECAM1 VIL1, provide independent validation antibodies BRD1, EZH2, JUP SATB2. present study provides foundation comprehensive set or transcriptome tumor tissues.

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