Publications

In this work in collaboration with the Thomas Julou and Bruce Morgan lab, we investigated the mechanistic interplay between resistance and tolerance strategies in Saccharomyces cerevisiae subjected to hydrogen peroxide (H₂O₂). Employing microfluidic cultivation and time-lapse fluorescence microscopy, we could quantitatively distinguish two discrete cellular responses: resistance, defined by the capacity to maintain proliferative growth via efficient detoxification of reactive oxygen species, and tolerance, characterized by a reversible proliferation arrest that prioritizes viability under excessive oxidative burden.

Through targeted deletion of ZWF1, the gene encoding the glucose-6-phosphate dehydrogenase of the pentose phosphate pathway responsible for NADPH production, we observed a pronounced decrease in H₂O₂ resistance concomitant with a paradoxical enhancement of tolerance. By combining additional genetic perturbations and varying extracellular nutrient conditions, we demonstrated that, upon overwhelming of the canonical redox homeostatic machinery, redox-dependent inhibition of protein kinase A (PKA) operates as a molecular switch. This inhibition redirects cells into a nutrient-dependent tolerant state, wherein proliferation is transiently suspended, thereby mitigating lethal oxidative damage.

Extending our analysis to Escherichia coli, our work revealed that the resistance–tolerance trade-off is conserved across phylogeny. These results established a unified framework in which redox signaling dynamically allocates cellular resources between detoxification and survival modes. By elucidating the regulatory logic governing this balance, our study provides a conceptual foundation for the development of combination therapies that concurrently target pathogen or tumor resistance mechanisms and tolerance defenses, with the objective of preventing treatment escape and disease relapse.

A Trade-Off between Stress Resistance and Tolerance Underlies the Adaptive Response to Hydrogen Peroxide. Basile Jacquel, Bor Kavčič, Audrey Matifas, Thomas Julou, Gilles Charvin Cell Systems 16, 101320 doi: 10.1016/j.cels.2025.101320

High-Throughput Measurement of Single-Fission Yeast Cell Volume Using Fluorescence Exclusion. Venkova L, García-Ruano D, Jain A, Charvin G, Coudreuse D. Methods Mol Biol. 2025;2862:7-32. doi: 10.1007/978-1-0716-4168-2_2. PMID: 39527190

Left-right asymmetry in oxidative stress sensing neurons in C. elegans. Quintin S, Charvin G. MicroPubl Biol. (2022) - DOI: 10.17912/micropub.biology.000652. eCollection 2022.

Distinct mechanisms underlie H₂O₂ sensing in C. elegans head and tail Quintin Sophie, Aspert Théo, Charvin Gilles PLOS One, (2022) - DOI: 10.1371/journal.pone.0274226

DetecDiv, a deep-learning platform for automated cell division tracking and replicative lifespan analysis Théo Aspert, Didier Hentsch, Gilles Charvin eLife, (2022) - DOI: 10.7554/eLife.79519

A Microfluidic Platform for Tracking Individual Cell Dynamics during an Unperturbed Nutrients Exhaustion Théo Aspert, Basile Jacquel, Gilles Charvin Bio Protoc (2022) - DOI: 10.21769/BioProtoc.4470

Nuclear Pore Complex Acetylation Regulates mRNA Export and Cell Cycle Commitment in Budding Yeast Mercè Gomar-Alba, Vasilisa Pozharskaia, Celia Schaal, Arun Kumar, Basile Jacquel, Gilles Charvin, J. Carlos Igual, Manuel Mendoza EMBO J, (2022) - DOI: 10.15252/embj.2021110271

DNA circles promote yeast ageing in part through stimulating the reorganization of nuclear pore complexes Anne C. Meinema*, Anna Marzelliusardottir*, Mihailo Mirkovic*, Théo Aspert, Sung Sik Lee, Gilles Charvin, Yves Barral eLife, 11:e71196, (2022) - DOI: 10.7554/eLife.71196

Monitoring single-cell dynamics of entry into quiescence during an unperturbed lifecycle Jacquel Basile, Aspert Théo, Laporte Damien, Sagot Isabelle, Charvin Gilles eLife, 10:e73186, (2021) - DOI: 10.7554/eLife.73186

Increased levels of mitochondrial import factor Mia40 prevent the aggregation of polyQ proteins in the cytosol Anna M Schlagowski, Katharina Knöringer, Sandrine Morlot, Ana Sánchez Vicente, Tamara Flohr, Lena Krämer, Felix Boos, Nabeel Khalid, Sheraz Ahmed, Jana Schramm, Lena M Murschall, Per Haberkant, Frank Stein, Jan Riemer, Benedikt Westermann, Ralf J Braun, Konstanze F Winklhofer, Gilles Charvin, Johannes M Herrmann EMBO J, (2021) - DOI: 10.15252/embj.2021107913

A trade-off between stress resistance and tolerance underlies the adaptive response to hydrogen peroxide Jacquel Basile, Matifas Audrey, Charvin Gilles bioRxiv, (2021) - DOI: 10.1101/2021.04.23.440814

Single-Cell Tracing Dissects Regulation of Maintenance and Inheritance of Transcriptional Reinduction Memory Poonam Bheda, Diana Aguilar-Gómez, Nils B Becker, Johannes Becker, Emmanouil Stavrou, Igor Kukhtevich, Thomas Höfer, Sebastian Maerkl, Gilles Charvin, Carsten Marr, Antonis Kirmizis, Robert Schneider Mol. Cell, (78)5:915-925, (2020) - DOI: 10.1016/j.molcel.2020.04.016

Proteostasis collapse halts G1 progression and delimits replicative lifespan Moreno D F, Jenkins K, Morlot S, Charvin G, Csikász-Nagy A, Aldea M eLife, 8:e48240, (2019) - DOI: 10.7554/eLife.48240

Excessive rDNA transcription drives the disruption in nuclear homeostasis during entry into senescence in budding yeast  Morlot S, Song J, Léger I, Matifas A, Gadal O, Charvin G  Cell Rep, (28)2:408-422, (2019) - DOI: 10.1016/j.celrep.2019.06.032

COSPLAY: An expandable toolbox for combinatorial and swift generation of expression plasmids in yeast  Goulev Y, Matifas A, Heyer V, Reina-San-Martin B, Charvin G PLoS ONE, 14(8): e0220694, (2019) - DOI: 10.1371/journal.pone.0220694

Self-Learning Microfluidic Platform for Single-Cell Imaging and Classification in Flow Constantinou I, Jendrusch M, Aspert T, Görlitz F, Schulze A, Charvin G, Knop M. Micromachines, 10: 311, (2019) - DOI: 10.3390/mi10050311

Adaptation to DNA damage checkpoint in senescent telomerase-negative cells promotes genome instability  Coutelier H, Xu Z, Morisse MC, Lhuillier-Akakpo M, Pelet S, Charvin G, Dubrana K, Teixeira MT. Genes Dev., 1;32(23-24):1499-1513, (2018) - DOI: 10.1101/gad.318485.118

Multiple inputs ensure yeast cell size homeostasis during cell cycle progression   Garmendia-Torres, C., Tassy, O., Matifas, A., Molina, N., Charvin, G. eLife, 7:e34025, (2018) - DOI: 10.7554/eLife.34025

Controllable stress patterns in microfluidic devices Goulev, Y., Matifas, A. , Charvin, G. Methods Cell Biol., 147:29-40, (2018) - DOI: 10.1016/bs.mcb.2018.07.003

Nonlinear feedback drives homeostatic plasticity in H2O2 stress response Goulev, Y., Morlot, S., Matifas, A., Huang, B., Molin, M., Toledano, M. B., Charvin, G.  eLife, 6:e23971, (2017) - DOI: 10.7554/eLife.23971

Kinetics of Formation and Asymmetrical Distribution of Hsp104-Bound Protein Aggregates in Yeast Paoletti C, Quintin S, Matifas A, Charvin G.  Biophys J., 110(7):1605-14, (2016) - DOI: 10.1016/j.bpj.2016.02.034

Two routes to senescence revealed by real-time analysis of telomerase-negative single lineages Xu Z, Fallet E, Paoletti C, Fehrmann S, Charvin G, Teixeira MT Nature Comm., 6:7680, (2015) - DOI: 10.1038/ncomms8680

Oscillatory Flow Modulates Mechanosensitive klf2a Expression through trpv4 and trpp2 during Heart Valve Development Heckel E, Boselli F, Roth S, Krudewig A, Belting HG, Charvin G, Vermot J.  Curr Biol., 25(10):1354-61, (2015) - DOI: 10.1016/j.cub.2015.03.038

A quantitative approach to study endothelial cilia bending stiffness during blood flow mechanodetection in vivo Boselli F, Goetz JG, Charvin G, Vermot J.  Methods Cell Biol., 127:161-7, (2015) - DOI: 10.1016/bs.mcb.2015.01.006

In silico control of biomolecular processes Uhlendorf J, Miermont A, Delaveau T, Charvin G, Fages F, Bottani S, Hersen P, Batt G.  Methods Mol Biol., 1244:277-85, (2015) - DOI: 10.1007/978-1-4939-1878-2_13

A memory system of negative polarity cues prevents replicative aging   Meitinger F, Khmelinskii A, Morlot S, Kurtulmus B, Palani S, Andres-Pons A, Hub B, Knop M, Charvin G, Pereira G  Cell, 159(5):1056-69, (2014) - DOI: 10.1016/j.cell.2014.10.014

Endothelial Cilia Mediate Low Flow Sensing during Zebrafish Vascular Development Goetz JG, Steed E, Ferreira RR, Roth S, Ramspacher C, Boselli F, Charvin G, Liebling M, Wyart C, Schwab Y, Vermot J.  Cell Rep, 6(5):799-808, (2014) - DOI: 10.1016/j.celrep.2014.01.032

Aging yeast cells undergo a sharp entry into senescence unrelated to the loss of mitochondrial membrane potential Fehrmann S, Paoletti C, Goulev Y, Ungureanu A, Aguilaniu H, Charvin G.  Cell Rep, 5(6):1589-99, (2013) - DOI: 10.1016/j.celrep.2013.11.013

Pulse propagation by a capacitive mechanism drives embryonic blood flow Anton H, Harlepp S, Ramspacher C, Wu D, Monduc F, Bhat S, Liebling M, Paoletti C, Charvin G, Freund JB, Vermot J.  Development, 140(21):4426-34, (2013) - DOI: 10.1242/dev.096768

Comparison of DNA decatenation by Escherichia coli topoisomerase IV and topoisomerase III: implications for non-equilibrium topology simplification.  Seol Y, Hardin AH, Strub MP, Charvin G, Neuman KC.  Nucleic Acids Res., 41(8):4640-9, (2013) - DOI: 10.1093/nar/gkt136

Long-term model predictive control of gene expression at the population and single-cell levels Uhlendorf J, Miermont A, Delaveau T, Charvin G, Fages F, Bottani S, Batt G, Hersen P. PNAS,  109(35):14271-6, (2012) - DOI: 10.1073/pnas.1206810109

Ultrasensitivity and positive feedback to promote sharp mitotic entry. Goulev Y, Charvin G. Mol Cell.,  41(3):243-4, (2011) - DOI: 10.1016/j.molcel.2011.01.016