Age-related accumulation of de novo mitochondrial mutations in mammalian oocytes and somatic tissues

publication
Barbara Arbeithuber
Authors
Postdoctoral scholar
In Prof. Makova’s lab Barbara was interested in the accurate measurement of rare mutations. Her project was focused on the inheritance of mitochondrial DNA; particularly, analysis of de novo mutations in the germ line, as well as the inheritance of low-level variants.
Marzia Cremona
Authors
Visiting Research Professor
Marzia develops statistical techniques for the analysis of large, high-dimensional and complex data – in particular functional data. An important aspect of her research is its collaborative and multidisciplinary nature. Indeed, much of her work is at the interface between statistics and computational biology, and her main application area is in the “Omics” sciences.
Nick Stoler
Authors
Ph.D. student
My focus is on variation in mitochondrial DNA. I develop methods and software tools to analyze mitochondrial sequencing data, as well as data from other non-diploid systems like viral populations, cancer, and somatic variation.
Kate Anthony
Authors
Research Technician
Francesca Chiaromonte
Authors
Francesca is a statistician developing methods for the analysis of large, high-dimensional and complex data, and applying such methods in contemporary “Omics” sciences and other scientific fields – including Meteorology and Economics.
Francisco J. Diaz
Authors
Francisco’s research focuses on understanding the molecular and functional interactions between oocytes and granulosa cells that promote production of a fertile oocyte. This knowledge can then be used to (1) develop better therapeutic interventions for infertility or species preservation and (2) develop better reproductive management tools for animal agriculture.
Kateryna Makova, Ph.D.
Authors
Professor
Kateryna is interested in genomics, evolution, and human genetics. Her lab studies mutations using both computational and experimental approaches. Additional topics of interest include sex chromosome evolution and genomics of childhood obesity.