Literature DB >> 31853536

Spatially multiplexed RNA in situ hybridization to reveal tumor heterogeneity.

Lena Voith von Voithenberg1, Anna Fomitcheva Khartchenko1, Deborah Huber1, Peter Schraml2, Govind V Kaigala1.   

Abstract

Multiplexed RNA in situ hybridization for the analysis of gene expression patterns plays an important role in investigating development and disease. Here, we present a method for multiplexed RNA-ISH to detect spatial tumor heterogeneity in tissue sections. We made use of a microfluidic chip to deliver ISH-probes locally to regions of a few hundred micrometers over time periods of tens of minutes. This spatial multiplexing method can be combined with ISH-approaches based on signal amplification, with bright field detection and with the commonly used format of formalin-fixed paraffin-embedded tissue sections. By using this method, we analyzed the expression of HER2 with internal positive and negative controls (ActB, dapB) as well as predictive biomarker panels (ER, PgR, HER2) in a spatially multiplexed manner on single mammary carcinoma sections. We further demonstrated the applicability of the technique for subtype differentiation in breast cancer. Local analysis of HER2 revealed medium to high spatial heterogeneity of gene expression (Cohen effect size r = 0.4) in equivocally tested tumor tissues. Thereby, we exemplify the importance of using such a complementary approach for the analysis of spatial heterogeneity, in particular for equivocally tested tumor samples. As the method is compatible with a range of ISH approaches and tissue samples, it has the potential to find broad applicability in the context of molecular analysis of human diseases.
© The Author(s) 2019. Published by Oxford University Press on behalf of Nucleic Acids Research.

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Year:  2020        PMID: 31853536      PMCID: PMC7026647          DOI: 10.1093/nar/gkz1151

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  101 in total

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5.  Highly multiplexed single-cell analysis of formalin-fixed, paraffin-embedded cancer tissue.

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Journal:  Proc Natl Acad Sci U S A       Date:  2013-07-01       Impact factor: 11.205

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Authors:  Zhen Wang; Bryce P Portier; Aaron M Gruver; Son Bui; Hongwei Wang; Nan Su; Hong-Thuy Vo; Xiao-Jun Ma; Yuling Luo; G Thomas Budd; Raymond R Tubbs
Journal:  J Mol Diagn       Date:  2013-01-08       Impact factor: 5.568

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Journal:  J Clin Pathol       Date:  2015-08-18       Impact factor: 3.411

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