Journal
SCIENTIFIC REPORTS
Volume 7, Issue -, Pages -Publisher
NATURE PUBLISHING GROUP
DOI: 10.1038/s41598-017-13070-3
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Funding
- Ligue contre le Cancer Comite de Charente-Maritime
- Agence National de la Recherche (ANR)
- ANR under the frame of E-Rare-2
- ERA-Net for Research on Rare Diseases
- Association pour la recherche sur le cancer (ARC)
- Canceropole Ile-de-France
- Institut National du Cancer (INCa)
- Institut Universitaire de France
- Fondation pour la Recherche Medicale (FRM)
- European Commission (ArtForce)
- European Research Council (ERC)
- LeDucq Foundation
- LabEx Immuno-Oncology
- RHU Torino Lumiere
- SIRIC Stratified Oncology Cell DNA Repair and Tumor Immune Elimination (SOCRATE)
- SIRIC Cancer Research and Personalized Medicine (CARPEM)
- Paris Alliance of Cancer Research Institutes (PACRI)
- DFG fellowship through the Graduate School of Quantitative Biosciences Munich (QBM)
- GNFM-INdAM (through Progetto Giovani Agliari)
- Universita del Salento
- Italian Ministry of Health [RF-2011-02347120]
- Italian Ministry of Education, University and Research (project MIUR-PRIN) [20125NMMLA]
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In this paper we discuss the applicability of numerical descriptors and statistical physics concepts to characterize complex biological systems observed at microscopic level through organ on chip approach. To this end, we employ data collected on a microfluidic platform in which leukocytes can move through suitably built channels toward their target. Leukocyte behavior is recorded by standard time lapse imaging. In particular, we analyze three groups of human peripheral blood mononuclear cells (PBMC): heterozygous mutants (in which only one copy of the FPR1 gene is normal), homozygous mutants (in which both alleles encoding FPR1 are loss-of-function variants) and cells from 'wild type' donors (with normal expression of FPR1). We characterize the migration of these cells providing a quantitative confirmation of the essential role of FPR1 in cancer chemotherapy response. Indeed wild type PBMC perform biased random walks toward chemotherapy-treated cancer cells establishing persistent interactions with them. Conversely, heterozygous mutants present a weaker bias in their motion and homozygous mutants perform rather uncorrelated random walks, both failing to engage with their targets. We next focus on wild type cells and study the interactions of leukocytes with cancerous cells developing a novel heuristic procedure, inspired by Lyapunov stability in dynamical systems.
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