Format

Send to

Choose Destination
Nucleic Acids Res. 2017 Jul 27;45(13):e122. doi: 10.1093/nar/gkx338.

MiSTIC, an integrated platform for the analysis of heterogeneity in large tumour transcriptome datasets.

Author information

1
The Leucegene project, Université de Montréal, Montréal, QC H3C 3J7, Canada.
2
Institute for Research in Immunology and Cancer (IRIC), Université de Montréal, Montréal, QC H3C 3J7, Canada.
3
Computer science and operation research, Université de Montréal, Montréal, QC H3C 3J7, Canada.
4
Division of Molecular Medicine, The Walter and Eliza Hall Institute of Medical Research, Melbourne, Victoria 3050, Australia.
5
Department of Medical Biology, The University of Melbourne, Parkville, Victoria 3010, Australia.
6
Division of Hematology, Maisonneuve-Rosemont Hospital, Montréal, QC H1T 2M4, Canada.
7
Leukemia Cell Bank of Quebec, Maisonneuve-Rosemont Hospital, Montréal, QC H1T 2M4, Canada.
8
Department of Medicine, Faculty of Medicine, Université de Montréal, Montréal, QC H3C 3J7, Canada.
9
Department of Biochemistry, Université de Montréal, Montréal, QC H3C 3J7, Canada, and Centre de Recherche du Centre Hospitalier Universitaire de l'Université de Montréal, Montréal, QC H2X 0A9, Canada.

Abstract

Genome-wide transcriptome profiling has enabled non-supervised classification of tumours, revealing different sub-groups characterized by specific gene expression features. However, the biological significance of these subtypes remains for the most part unclear. We describe herein an interactive platform, Minimum Spanning Trees Inferred Clustering (MiSTIC), that integrates the direct visualization and comparison of the gene correlation structure between datasets, the analysis of the molecular causes underlying co-variations in gene expression in cancer samples, and the clinical annotation of tumour sets defined by the combined expression of selected biomarkers. We have used MiSTIC to highlight the roles of specific transcription factors in breast cancer subtype specification, to compare the aspects of tumour heterogeneity targeted by different prognostic signatures, and to highlight biomarker interactions in AML. A version of MiSTIC preloaded with datasets described herein can be accessed through a public web server (http://mistic.iric.ca); in addition, the MiSTIC software package can be obtained (github.com/iric-soft/MiSTIC) for local use with personalized datasets.

PMID:
28472340
PMCID:
PMC5570030
DOI:
10.1093/nar/gkx338
[Indexed for MEDLINE]
Free PMC Article

Supplemental Content

Full text links

Icon for Silverchair Information Systems Icon for PubMed Central
Loading ...
Support Center