Mechanobiology of the cytoskeleton PI: Núria Gavara Casas

Presentation

We are interested in mechanobiology in general, and in the mechanical behaviour of cells and tissues in particular. The lab currently has several running projects focused on the lung, ranging from the mechanical characterization of the lung’s extracellular matrix to the use of biophysical biomarkers for the identification of potential drugs against lung cancer.

We use an inter-disciplinary approach combining state-of-the art microscopy techniques such as atomic force microscopy, confocal microscopy, traction force microscopy, advanced image analysis, machine learning, molecular biology and biomaterials science.

Most of our projects involve implementing novel technical approaches based on those methods, either by costumizing its hardware components or by developing new pipelines for data acquisition and analysis.

KEYWORDS: Mechanobiology, Atomic force microscopy, Image analysis, Biophysical biomarkers

Núria Gavara Casas
Assistant professor Serra Húnter
ngavara@ub.edu
web: https://gavaralab.wordpress.com/

 

 

Constança Júnior
Predoctoral researcher (Phys2Biomed ITN)
cjunior@ibecbarcelona.eu
web: https://www.phys2biomed.eu/index.php?sezione=esr&id=12

 

África Martínez Blanco
Predoctoral researcher (projecte finançat Plan Nacional)
africa.martinez@ub.edu

 

Maria Leonor Narciso
Predoctoral researcher (Phys2Biomed ITN)
mnarciso@ibecbarcelona.eu
web: https://www.phys2biomed.eu/index.php?sezione=esr&id=13

 

Sergio Noé Pérez
Predoctoral researcher
sergio.noe@ub.edu

  • Image-based diagnostics and drug screening using the cell’s cytoskeleton. We are particularly interested in Cancer Associated Fibroblast (CAF) in the lung and finding drugs that can reduce their activation levels.

  • Assessing how the cytoskeleton can be used as a biomarker for health and disease, especially in slow-evolving cellular events such as differentiation and aging.

  • Developing new data analysis tools for image quantification and AFM cell mechanics. We are specially interested in integrating these tools with machine learning algorithms for diagnostic and screening in biomedical sciences.

  • The mechanical interaction between the cytoskeleton and the nucleus, especially focusing on the role of intermediate filaments in chromatin State.

  • Characterizing the elements of the cytoskeleton that are involved in age-related impaired cell migration and wound healing.

  • Biomarcadores biofisicos y machine learning para una prueba de concepto en un panel de drogas para inhibir la activacion de fibroblastos tumorales en cancer de pulmon (BB-MLRforTAFs)

Project reference: PID2020-116808RB-I00 AEI-Retos
Principal Researcher: Núria Gavara Casas
Affiliation entity: Universitat de Barcelona
Funding entity: Ministerio de Economia y Competividad
Period: 01/10/2021-30/09/2024
Amount: 181.500,00 €+ 1 FPI

For more information on the group's IP posts you can visit the following links:

ORCID: 0000-0002-7666-110X
Researcher ID: AAI-2448-2020
Scopus Author ID: . 8926063500

  • Offers from the University of Barcelona:

Work UB

  • Offers from the Research Group:

At the moment, there are no job offers from this Research Group

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