Journal Articles
Guan, Y., Griffiths, L., Gunasingh, G., Kumar, J., Spoerri, L. and Haass, N.K. (2023). 1255 Modulating phenotypic melanoma heterogeneity and immune cell infiltration. Journal of Investigative Dermatology, 143 (5), S215. doi: 10.1016/j.jid.2023.03.1269
Gunasingh, Gency, Browning, Alexander P. and Haass, Nikolas K. (2022). Rapid Optical Clearing for Semi-High-Throughput Analysis of Tumor Spheroids. Journal of Visualized Experiments, 2022 (186) e64103. doi: 10.3791/64103
Klowss, Jonah J., Browning, Alexander P., Murphy, Ryan J., Carr, Elliot J., Plank, Michael J., Gunasingh, Gency, Haass, Nikolas K. and Simpson, Matthew J. (2022). A stochastic mathematical model of 4D tumour spheroids with real-time fluorescent cell cycle labelling. Journal of the Royal Society. Interface, 19 (189) 20210903, 20210903. doi: 10.1098/rsif.2021.0903
Murphy, Ryan J., Browning, Alexander P., Gunasingh, Gency, Haass, Nikolas K. and Simpson, Matthew J. (2022). Designing and interpreting 4D tumour spheroid experiments. Communications Biology, 5 (1) 91, 91. doi: 10.1038/s42003-022-03018-3
Browning, Alexander P., Sharp, Jesse A., Murphy, Ryan J., Gunasingh, Gency, Lawson, Brodie, Burrage, Kevin, Haass, Nikolas K. and Simpson, Matthew (2021). Quantitative analysis of tumour spheroid structure. eLife, 10 e73020. doi: 10.7554/elife.73020
Spoerri, Loredana, Gunasingh, Gency and Haass, Nikolas K. (2021). Fluorescence-based quantitative and spatial analysis of tumour spheroids: a proposed tool to predict patient-specific therapy response. Frontiers in Digital Health, 3 668390, 1-19. doi: 10.3389/fdgth.2021.668390
Vittadello, Sean T., McCue, Scott W., Gunasingh, Gency, Haass, Nikolas K. and Simpson, Matthew J. (2020). Examining go-or-grow using fluorescent cell-cycle indicators and cell-cycle-inhibiting drugs. Biophysical journal, 118 (6), 1243-1247. doi: 10.1016/j.bpj.2020.01.036
Vittadello, Sean T., McCue, Scott W., Gunasingh, Gency, Haass, Nikolas K. and Simpson, Matthew J. (2019). Mathematical models incorporating a multi-stage cell cycle replicate normally-hidden inherent synchronization in cell proliferation. Journal of The Royal Society Interface, 16 (157) 20190382, 20190382. doi: 10.1098/rsif.2019.0382
Lee, Erinna F., Harris, Tiffany J., Tran, Sharon, Evangelista, Marco, Arulananda, Surein, John, Thomas, Ramnac, Celeste, Hobbs, Chloe, Zhu, Haoran, Gunasingh, Gency, Segal, David, Behren, Andreas, Cebon, Jonathan, Dobrovic, Alexander, Mariadason, John M., Strasser, Andreas, Rohrbeck, Leona, Haass, Nikolas K., Herold, Marco J. and Fairlie, W. Douglas (2019). BCL-XL and MCL-1 are the key BCL-2 family proteins in melanoma cell survival. Cell Death & Disease, 10 (5) 342, 342. doi: 10.1038/s41419-019-1568-3
Simpson, Matthew J., Jin, Wang, Vittadello, Sean T., Tambyah, Tamara A., Ryan, Jacob M., Gunasingh, Gency, Haass, Nikolas K. and McCue, Scott W. (2018). Stochastic models of cell invasion with fluorescent cell cycle indicators. Physica A: Statistical Mechanics and its Applications, 510, 375-386. doi: 10.1016/j.physa.2018.06.128
Vittadello, Sean T., McCue, Scott W., Gunasingh, Gency, Haass, Nikolas K and Simpson, Matthew J (2018). Mathematical models for cell migration with real-time cell cycle dynamics. Biophysical Journal, 114 (5), 1241-1253. doi: 10.1016/j.bpj.2017.12.041
Brooks, Kelly, Ranall, Max, Spoerri, Loredana, Stevenson, Alex, Gunasingh, Gency, Pavey, Sandra, Meunier, Fred, Gonda, Thomas J. and Gabrielli, Brian (2014). Decatenation checkpoint defective melanomas are dependent on PI3K for survival. Pigment Cell and Melanoma Research, 27 (5), 813-821. doi: 10.1111/pcmr.12268
Conference Paper
Spoerri, L., Tonnessen, C., Beaumont, K., Hill, D., Jurek, R., Gunasingh, G., Daignault, S. M., Vanwalleghem, G., Weninger, W., Scott, E. and Haass, N. K. (2019). MITF-mediated extracellular matrix changes control intratumour heterogeneity in melanoma. 49th Annual ESDR Meeting, Bordeaux, France, 18-21 September 2019. Oxford, United Kingdom: Elsevier. doi: 10.1016/j.jid.2019.07.709
Data Collection
Guan, Yimeng, Gunasingh, Gency and Haass, Nikolas (2023). Specific T cells infiltration assay. The University of Queensland. (Dataset) doi: 10.48610/ede5871