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Mitochondrial and Cardiovascular Physiopathology | UMR Inserm U1083 - CNRS 6015

Separated by coma

Medical Data & Technologies

Marc Ferre, Lecturer


marc.ferre @


Keywords : Bioinformatics, Molecular biology, Mitochondria, Databases, direct DNA sequencing


State of the art and objectives

Marc Ferré graduated in 2002 from a French Grande Ecole of Engineering (ESEO, and got his PhD in Bioinformatics in December 2009. Until August 2014, he was employed by the University Hospital of Angers (France) as bioinformatician through the formation of a national network coordinated by the French Department of Health (genetic study of neuromuscular and sensory pathologies, and mental retardation). He is currently Associate Professor in Molecular Biology and Bioinformatics at the Angers Medical School.

Main results from the last 5 years

  • He began his career by studying in silico the human mitochondrial proteome and developing a bioinformatics research strategy to identify new mitochondrial proteins on the basis of their prokaryotic origin. In parallel to this overall strategy of screening, he focused on the study of the OPA1 protein, one of the proteins associated with dominant optic atrophy, which is involved in mitochondrial fusion. He developed an international database listing the variations of OPA1 and its mutational spectrum. This tool was used as a complement to a multicentric clinical molecular diagnosis service involving thousands of patients with optic neuropathy. His work has led to the development of novel bioinformatic tools that contribute to a better understanding of mitochondrial pathophysiology.


  • He is currently focused on three axes: (1) designing and curating clinico-biological databases of genes involved in neuro-ophthalmological diseases (ACO2, DNM1L, MFN2, OPA1, RTN4IP1, SPG7), as a member of the Human Variome Project since 2012; (2) exceeding the current reading limits of the human mitochondrial genome sequence, via an innovative technique in which the complete double-stranded mitochondrial DNA is read directly without DNA amplification or incorporation of nucleotides; (3) analyzing the big data generated by the two previous axes, by , bioinformatics and biostatistical methods, and artificial intelligence.


 People involved

  • Angélique Caignard, MD (axis 1)
  • Bastien Le Roux, MD (axis 1)
  • Delphine Prunier-Mirebeau, MD, PhD (axes 1, 2, 3)
  • Floris Chabrun, MD (axes 1, 3)
  • Juan Manuel Chao de la Barca, MD, PhD (axes 1, 3)
  • Julien Cassereau, MD, PhD (axis 1)
  • Khadidja Boutellis, MD student (axis 1)
  • Pascal Reynier, MD, PhD (axes 1, 2, 3)
  • Patrizia Amati-Bonneau, MD (axis 1)
  • Thomas Foulonneau, MD student (axis 1)
  • Valérie Desquiret-Dumas, PhD (axis 2, equal contribution)
  • Xavier Dieu, MD (axes 1, 3)

 Main publications and patents from the 5 last years


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Acknowledgements for the financial supports

  • Kjer France
  • Ouvrir les Yeux
  • Retina France
  • Union nationale des Aveugles et Déficients visuels
  • Association contre les Maladies mitochondriales