Journal
JOURNAL OF THE ROYAL SOCIETY INTERFACE
Volume 16, Issue 151, Pages -Publisher
ROYAL SOC
DOI: 10.1098/rsif.2018.0709
Keywords
scratch assays; migration quantification methods; migration rates
Categories
Funding
- Heidelberg Graduate School of Mathematical and Computational Methods for the Sciences [DFG] in the German Universities Excellence Initiative [GSC 220]
- Mathematics for Industry Network [COST Action] [TD1409]
- Consejo Nacional de Ciencia y Tecnologia [411678]
- Ministerio de Ciencia e Innovacion [TIN2015-66951-C2-1-R, SGR 1742, SAF2017-89989-R, SAF2014-59945-R]
- Red de Investigacion Renal REDinREN [12/0021/0013]
- CERCA Programme of the Generalitat de Catalunya
- Ministerio de Economia y Competitividad [MTM2015-71509-C2-1-R, MDM-2014-0445]
- Agencia de Gestio de Ajuts Universitaris i Recerca [2014SGR1307]
Ask authors/readers for more resources
The scratch assay is an in vitro technique used to assess the contribution of molecular and cellular mechanisms to cell migration. The assay can also be used to evaluate therapeutic compounds before clinical use. Current quantification methods of scratch assays deal poorly with irregular cell-free areas and crooked leading edges which are features typically present in the experimental data. We introduce a new migration quantification method, called 'monolayer edge velocimetry', that permits analysis of low-quality experimental data and better statistical classification of migration rates than standard quantification methods. The new method relies on quantifying the horizontal component of the cell monolayer velocity across the leading edge. By performing a classification test on in silico data, we show that the method exhibits significantly lower statistical errors than standard methods. When applied to in vitro data, our method outperforms standard methods by detecting differences in the migration rates between different cell groups that the other methods could not detect. Application of this new method will enable quantification of migration rates from in vitro scratch assay data that cannot be analysed using existing methods.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available