Imperial College London
Portrait Picture

ProfessorIainMcNeish

Faculty of Medicine, Department of Surgery & Cancer

Chair in Oncology
 
 
 
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Contact

 

+44 (0)20 7594 2185i.mcneish Website

 
 
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Assistant

 

Ms Sophie Lions +44 (0)20 7594 2792

 
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Location

 

G036Institute of Reproductive and Developmental BiologyHammersmith Campus

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Summary

 

Publications

Citation

BibTex format

@unpublished{Macintyre:2018:10.1101/487926,
author = {Macintyre, G and Piskorz, A and Ross, E and Morse, D and Yuan, K and Ennis, D and Pike, J and Goranova, T and McNeish, I and Brenton, J and Markowetz, F},
doi = {10.1101/487926},
title = {frenchFISH: Poisson models for quantifying DNA copy-number from fluorescence in situ hybridisation of tissue sections},
url = {http://dx.doi.org/10.1101/487926},
year = {2018}
}
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RIS format (EndNote, RefMan)

TY  - UNPB
AB  - Chromosomal aberration and DNA copy number change are robust hallmarks of cancer. Imaging of spots generated using fluorescence in situ hybridisation (FISH) of locus specific probes is routinely used to detect copy number changes in tumour nuclei. However, it often does not perform well on solid tumour tissue sections, where partially represented or overlapping nuclei are common. To overcome these challenges, we have developed a computational approach called FrenchFISH, which comprises a nuclear volume correction method coupled with two types of Poisson models: either a Poisson model for improved manual spot counting without the need for control probes; or a homogenous Poisson Point Process model for automated spot counting. We benchmarked the performance of FrenchFISH against previous approaches in a controlled simulation scenario and exemplify its use in 12 ovarian cancer FFPE-tissue sections, for which we assess copy number alterations in three loci (c-Myc, hTERC and SE7). We show that FrenchFISH outperforms standard spot counting approaches and that the automated spot counting is significantly faster than manual without loss of performance. FrenchFISH is a general approach that can be used to enhance clinical diagnosis on sections of any tissue.
AU  - Macintyre,G
AU  - Piskorz,A
AU  - Ross,E
AU  - Morse,D
AU  - Yuan,K
AU  - Ennis,D
AU  - Pike,J
AU  - Goranova,T
AU  - McNeish,I
AU  - Brenton,J
AU  - Markowetz,F
DO  - 10.1101/487926
PY  - 2018///
TI  - frenchFISH: Poisson models for quantifying DNA copy-number from fluorescence in situ hybridisation of tissue sections
UR  - http://dx.doi.org/10.1101/487926
ER  -
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