Image-based computational quantification and visualization of genetic alterations and tumour heterogeneity.

ABSTRACT: Recent large-scale genome analyses of human tissue samples have uncovered a high degree of genetic alterations and tumour heterogeneity in most tumour entities, independent of morphological phenotypes and histopathological characteristics. Assessment of genetic copy-number variation (CNV) and tumour heterogeneity by fluorescence in situ hybridization (ISH) provides additional tissue morphology at single-cell resolution, but it is labour intensive with limited throughput and high inter-observer variability. We present an integrative method combining bright-field dual-colour chromogenic and silver ISH assays with an image-based computational workflow (ISHProfiler), for accurate detection of molecular signals, high-throughput evaluation of CNV, expressive visualization of multi-level heteroge

SUBMITTER: Zhong Q 

PROVIDER: S-EPMC4823793 | biostudies-literature | 2016 Apr

REPOSITORIES: biostudies-literature