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Featured researches published by Sean McElwain.


PeerJ | 2017

Quantitative comparison of the spreading and invasion of radial growth phase and metastatic melanoma cells in a three-dimensional human skin equivalent model

Parvathi Haridas; Jacqui A. McGovern; Sean McElwain; Matthew J. Simpson

Background Standard two-dimensional (2D) cell migration assays do not provide information about vertical invasion processes, which are critical for melanoma progression. We provide information about three-dimensional (3D) melanoma cell migration, proliferation and invasion in a 3D melanoma skin equivalent (MSE) model. In particular, we pay careful attention to compare the structure of the tissues in the MSE with similarly-prepared 3D human skin equivalent (HSE) models. The HSE model is identically prepared to the MSE model except that melanoma cells are omitted. Using the MSE model, we examine melanoma migration, proliferation and invasion from two different human melanoma cell lines. One cell line, WM35, is associated with the early phase of the disease where spreading is thought to be confined to the epidermis. The other cell line, SK-MEL-28, is associated with the later phase of the disease where spreading into the dermis is expected. Methods 3D MSE and HSE models are constructed using human de-epidermised dermis (DED) prepared from skin tissue. Primary fibroblasts and primary keratinocytes are used in the MSE and HSE models to ensure the formation of a stratified epidermis, with a well-defined basement membrane. Radial spreading of cells across the surface of the HSE and MSE models is observed. Vertical invasion of melanoma cells downward through the skin is observed and measured using immunohistochemistry. All measurements of invasion are made at day 0, 9, 15 and 20, providing detailed time course data. Results Both HSE and MSE models are similar to native skin in vivo, with a well-defined stratification of the epidermis that is separated from the dermis by a basement membrane. In the HSE and MSE we find fibroblast cells confined to the dermis, and differentiated keratinocytes in the epidermis. In the MSE, melanoma cells form colonies in the epidermis during the early part of the experiment. In the later stage of the experiment, the melanoma cells in the MSE invade deeper into the tissues. Interestingly, both the WM35 and SK-MEL-28 melanoma cells lead to a breakdown of the basement membrane and eventually enter the dermis. However, these two cell lines invade at different rates, with the SK-MEL-28 melanoma cells invading faster than the WM35 cells. Discussion The MSE and HSE models are a reliable platform for studying melanoma invasion in a 3D tissue that is similar to native human skin. Interestingly, we find that the WM35 cell line, that is thought to be associated with radial spreading only, is able to invade into the dermis. The vertical invasion of melanoma cells into the dermal region appears to be associated with a localised disruption of the basement membrane. Presenting our results in terms of time course data, along with images and quantitative measurements of the depth of invasion extends previous 3D work that has often been reported without these details.


Asia-pacific Biotech News | 2005

QUT eyes scarless healing

David I. Leavesley; Damien G. Harkin; Sean McElwain; Graeme A. George; Zee Upton

The article is about the research done in Queensland University of Technology. The tissue bioregeneration research there is focused on developing innovative and improved technologies for the management of tissues damaged through trauma, fatigue, aging, disease and surgery.


Journal of Quality in Clinical Practice | 2001

The Application of Statistical Process Control Charts to the Detection and Monitoring of Hospital-Acquired Infections

Anthony Morton; Michael Whitby; Mary-Louise McLaws; Annette Dobson; Sean McElwain; David Looke; Jenny Stackelroth; Anna Sartor


Institute of Health and Biomedical Innovation; Science & Engineering Faculty | 2017

Quantifying rates of cell migration and cell proliferation in co-culture barrier assays reveals how skin and melanoma cells interact during melanoma spreading and invasion

Parvathi Haridas; Catherine J. Penington; Jacqui A. McGovern; Sean McElwain; Matthew J. Simpson


Faculty of Health; Institute of Health and Biomedical Innovation; Science & Engineering Faculty | 2015

Estimating cell diffusivity and cell proliferation rate by interpreting IncuCyte ZOOM™ assay data using the Fisher-Kolmogorov model

Stuart T. Johnston; Esha T. Shah; Lisa K. Chopin; Sean McElwain; Matthew J. Simpson


Institute of Health and Biomedical Innovation; Science & Engineering Faculty | 2014

Assessing the role of spatial correlations during collective cell spreading

Katrina K. Treloar; Matthew J. Simpson; Benjamin J. Binder; Sean McElwain; Ruth E. Baker


Institute of Health and Biomedical Innovation; Science & Engineering Faculty | 2014

Are in vitro estimates of cell diffusivity and cell proliferation rate sensitive to assay geometry

Katrina K. Treloar; Matthew J. Simpson; Sean McElwain; Ruth E. Baker


Institute of Health and Biomedical Innovation; Science & Engineering Faculty | 2014

Do pioneer cells exist

Matthew J. Simpson; Parvathi Haridas; Sean McElwain


Institute of Health and Biomedical Innovation; Science & Engineering Faculty | 2014

How much information can be obtained from tracking theposition of the leading edge in a scratch assay

Stuart T. Johnston; Matthew J. Simpson; Sean McElwain


Institute of Health and Biomedical Innovation; Science & Engineering Faculty | 2014

Interpreting scratch assays using pair density dynamics and approximate Bayesian computation

Stuart T. Johnston; Matthew J. Simpson; Sean McElwain; Benjamin J. Binder; Joshua V. Ross

Collaboration


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Matthew J. Simpson

Queensland University of Technology

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David I. Leavesley

Queensland University of Technology

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Parvathi Haridas

Queensland University of Technology

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Zee Upton

Queensland University of Technology

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Katrina K. Treloar

Queensland University of Technology

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Scott W. McCue

Queensland University of Technology

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Stuart T. Johnston

Queensland University of Technology

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