In:
Scientific Reports, Springer Science and Business Media LLC, Vol. 6, No. 1 ( 2016-04-07)
Kurzfassung:
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 heterogeneity (cellular, inter- and intra-tumour heterogeneity), and objective quantification of heterogeneous genetic deletions ( PTEN ) and amplifications (19q12, HER2 ) in diverse human tumours (prostate, endometrial, ovarian and gastric), using various tissue sizes and different scanners, with unprecedented throughput and reproducibility.
Materialart:
Online-Ressource
ISSN:
2045-2322
Sprache:
Englisch
Verlag:
Springer Science and Business Media LLC
Publikationsdatum:
2016
ZDB Id:
2615211-3