In vitro cell migration quantification method for scratch assays

Author:

Bobadilla Ana Victoria Ponce12ORCID,Arévalo Jazmine3ORCID,Sarró Eduard3ORCID,Byrne Helen M.4ORCID,Maini Philip K.4ORCID,Carraro Thomas12ORCID,Balocco Simone56ORCID,Meseguer Anna378,Alarcón Tomás9101112ORCID

Affiliation:

1. Institute for Applied Mathematics, Heidelberg University, 69120 Heidelberg, Germany

2. Interdisciplinary Center for Scientific Computing (IWR), Heidelberg University, 69120 Heidelberg, Germany

3. Renal Physiopathology Group, CIBBIM-Nanomedicine, Vall d’Hebron Research Institute, Barcelona, Spain

4. Wolfson Centre for Mathematical Biology, Mathematical Institute, University of Oxford, Oxford OX2 6GG, UK

5. Department of Mathematics and Informatics, University of Barcelona, Gran Via 585, 08007 Barcelona, Spain

6. Computer Vision Center, 08193 Bellaterra, Spain

7. Departament de Bioquímica i Biologia Molecular, Unitat de Bioquímica de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Spain

8. Red de Investigación Renal (REDINREN), Instituto Carlos III-FEDER, Madrid, Spain

9. ICREA, Pg. Lluís Companys 23, 08010 Barcelona, Spain

10. Centre de Recerca Matemàtica, Edifici C, Campus de Bellaterra, 08193 Bellaterra (Barcelona), Spain

11. Departament de Matemàtiques, Universitat Autònoma de Barcelona, 08193 Bellaterra (Barcelona), Spain

12. Barcelona Graduate School of Mathematics (BGSMath), Barcelona, Spain

Abstract

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.

Funder

Ministerio de Ciencia e Innovación

CERCA Programme of the Generalitat de Catalunya

Mathematics for Industry Network

Heidelberg Graduate School of Mathematical and Computational Methods for the Sciences

Consejo Nacional de Ciencia y Tecnología

Agència de Gestió de Ajuts Universitaris i Recerca

Ministerio de Economía y Competitividad

Red de Investigación Renal REDinREN

Publisher

The Royal Society

Subject

Biomedical Engineering,Biochemistry,Biomaterials,Bioengineering,Biophysics,Biotechnology

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