Combining High-Content Imaging and Phenotypic Classification Analysis of Senescence-Associated Beta-Galactosidase Staining to Identify Regulators of Oncogene-Induced Senescence

Keefe T Chan; Lassi Paavolainen; Katherine M Hannan; Amee J George; Ross D Hannan; Kaylene J Simpson; Peter Horvath; Richard B Pearson

Journal article

Combining High-Content Imaging and Phenotypic Classification Analysis of Senescence-Associated Beta-Galactosidase Staining to Identify Regulators of Oncogene-Induced Senescence

Keefe T Chan, Lassi Paavolainen, Katherine M Hannan, Amee J George, Ross D Hannan, Kaylene J Simpson, Peter Horvath, Richard B Pearson

ASSAY and Drug Development Technologies | MARY ANN LIEBERT, INC | Published : 2016

DOI: 10.1089/adt.2016.739

University of Melbourne Researchers

Kaylene Simpson Author Clinical Pathology

Richard Pearson Author The Sir Peter MacCallum Department of Oncology

Amee Jane George Author Clinical Pathology

Keefe Chan Author The Sir Peter MacCallum Department of Oncology

Katherine Hannan Author Biochemistry and Molecular Biology

Related Projects (2)

Oncogenic Signaling And Cancer Therapy

Central to improving the management of patients with cancer is an understanding of the molecular drivers of cancer. Based on our fundamental..

Utilising Pi3k/Akt-Dependent Senescence To Treat Cancer

Grants

Awarded by National Health and Medical Research Council (NHMRC) of Australia program grant

Awarded by Cancer Council Victoria

Awarded by TEKES FiDiPro Fellow Grant

Funding Acknowledgements

This work was supported by a National Health and Medical Research Council (NHMRC) of Australia program grant (1053792) and a Cancer Council Victoria Grant-in-Aid (1065118). The Victorian Centre for Functional Genomics (VCFG) is funded by the Australian Cancer Research Foundation (ACRF); the Victorian Department of Industry, Innovation and Region Development (DIIRD); the Australian Phenomics Network (APN) and supported by funding from the Australian Government Education Investment Fund through the Super Science Initiative; the Australasian Genomics Technologies Association (AGTA); the Brockhoff Foundation; and the Peter MacCallum Cancer Centre Foundation. L.P. and P.H. are supported by a TEKES FiDiPro Fellow Grant 40294/13. R.D.H and R.B.P are funded by NHMRC Fellowships. P.H. acknowledges the Hungarian National Brain Research Program (MTA-SE-NAP B-BIOMAG). The authors thank Daniel Thomas and Jennii Luu (VCFG) for their expert technical assistance.