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DTSTAMP:20220812T074334Z
LOCATION:Rio Room
DTSTART;TZID=Europe/Stockholm:20220627T163000
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UID:submissions.pasc-conference.org_PASC22_sess134_msa174@linklings.com
SUMMARY:Cell Cluster Modelling for Computational Analysis of Cluster Metas
 tatic Potential
DESCRIPTION:Minisymposium\n\nCell Cluster Modelling for Computational Anal
 ysis of Cluster Metastatic Potential\n\nCimrak, Bohinikova, Jancigova, Mul
 ik\n\nNumerous studies suggest that clusters of circulating tumour cells h
 ave higher metastatic potential than that of single cells. Common agreemen
 t was that this is ballanced by their short life time due to their disinte
 gration after passing microcapillaries. Recent study (M.R.King et al., doi
 : 10.1152/ajpcell.00346.2014) however showed the ability of clusters to re
 group after passing a microcapillary which further emphasised the importan
 ce of CTC clusters in metastizing.<br /><br />We present a model of cell c
 lusters based on an established spring network model of single cells. Indi
 vidual cells are linked together by adhesive potentials. The strength of t
 he adhesion modulates the ability of cells to slide over each other: From 
 clusters with fixed adhesion sites to weak adhesion clusters where the cel
 ls may slide over each other and where adhesion sites regularly change the
 ir location and size on the cells. We tune the adhesion strength according
  to biological experiments, e.g. by those in King's work.<br /><br />We em
 ploy this model to study the behaviour of different clusters containing 2-
 5 cells in a shear flow. We study the near-wall behaviour to understand th
 e increased metastatic potential in terms of cell-wall contacts and the co
 ntact time.\n\nDomain: Engineering, Life Sciences
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