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Auguste Genovesio

Computational Bioimaging
and Bioinformatics

The research project of our team is the study of cellular morphology and dynamics at large scale. We are interested in characterizing the morphological heterogeneity of cellular responses to perturbations. We thus work to identify mechanical or molecular factors of cell morphology, organization and activity in different contexts. In this perspective, we contribute to generate large data sets of images or gene expression. On the other hand, we interpret these large data sets to produce and validate predictive models. As the scale of the data produced this way constrains us to full automation and quantitative approaches, we develop algorithms and tools for the analysis of large image data. The members of our team bring together a wide range of expertise such as computer science, applied mathematics, biophysics and genomic analysis. We apply our approaches to scientific questions we raise such as understanding the action of small compounds with the support of our collaborators from the Curie Institute next door and the pharmaceutical industry. We also develop approaches dedicated to fundamental biology research through a strong interaction with our colleagues at IBENS, Collège de France and ESPCI in various subfields such as functional genomics, developmental biology and neuroscience.

Recent selected publications

Compound Functional Prediction Using Multiple Unrelated Morphological Profiling Assays
F Rose*, S Basu*, E Rexhepaj, A Chauchereau, E Del Nery, A Genovesio
2017, SLAS Technology

Smooth 2D manifold extraction from 3D image stack
A Shihavuddin*, S Basu*, E Rexhepaj, F Delestro, N Menezes, SM Sigoillot, E Del Nery, F Selimi, N Spassky, A Genovesio
2017, Nature Communications

An RNAi Screen in a Novel Model of Oriented Divisions Identifies the Actin-Capping Protein Z β as an Essential Regulator of Spindle Orientation
F di Pietro, L Valon, Y Li, R Goïame, A Genovesio, X Morin
2017, Current Biology

mTORC1 signaling and primary cilia are required for brain ventricle morphogenesis
P Foerster, M Daclin, A Shihavuddin, M Faucourt, A Boletta, A Genovesio, N Spassky
2017, Development

Detection and tracking of overlapping cell nuclei for large scale mitosis analyses
Y Li*, F Rose*, F di Pietro, X Morin, A Genovesio
2016, BMC bioinformatics

From cell images to information
From cell images to information