Caroline Mauvezin
Ramon y Cajal Group Leader
Research Interests
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Recent Grants
Grant: Close
Study of novel biomarkers for CIN-targeted breast cancer therapy (CALIBRATE)
Open Date: 2022-12-01
Close Date: 2025-11-01
Grant: Close
SGR Cell biology
Open Date: 2022-01-01
Close Date: 2024-12-01
Grant: Close
Study of the function of autophagy and lysosomes in mitosis and its implication to preserve from chromosomal instability to develop novel cancer combination therapy (AUTOLYS-CIN)
Open Date: 2021-11-01
Close Date: 2024-10-01
Grant: Close
Marie Skłodowska-Curie actions MSCA-IF-RI
Open Date: 2019-01-01
Close Date: 2020-12-01
Grant: Close
Juan de la Cierva - Reincorporacion
Open Date: 2016-01-01
Close Date: 2018-12-01
Articles (5)
QATS: an ImageJ plugin for the quantification of toroidal nuclei in biological images
Motivation The toroidal nucleus is a novel chromosomal instability (CIN) biomarker which complements the micronucleus. Understanding the specific biological stresses leading to the formation of each CIN-associated phenotype requires the evaluation of large panels of biological images collected from different genetic backgrounds and environmental conditions. However, the quantification of toroidal nuclei is currently a manual process which is unviable on a large scale. Results Here, we present QATS (QuAntification of Toroidal nuclei in biological imageS), a tool that automates the identification of toroidal nuclei, minimizing false positives while highly agreeing with the manual quantifications. Additionally, QATS identifies micronuclei for a convenient comparison of both CIN biomarkers. QATS is an open-source ImageJ plugin with a user-friendly interface that enables a wide scientific community to easily assess the frequency of CIN biomarkers for the determination of CIN levels in cellular models. Availability and implementation QATS is an ImageJ plugin freely available at http://www.toroidalnucleus.org/qats. The user manual and the images used for the evaluation of QATS are included in the website. Supplementary data are available at Bioinformatics online.
Year:
2024
Collaborators (4)
Jaime Rubio-Martinez
Full Professor
University of Barcelona
Neus Agell
Full Professor
University of Barcelona
Charles A Day
University of Minnesota
Albert Tauler
Full Professor
University of Barcelona

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