Multi-omics, Transcriptomics & System Biology

Belen Rabaglino

Research Group

Belen Rabaglino
I am a veterinarian scientist who turned into a bioinformatician, as this area combines my passions: animal physiology, system biology and data science. Our research explores and exploits the robust data derived from omics technologies to understand embryo competence and fetal development in the cow or other species.
Group name: ReprOmics
Research field: Multi-omics, Transcriptomics & System Biology
Biomarker, Data Integration, Functional Genomics, Machine Learning, Transcriptomics

Contact

Yalelaan 7
3584 CL
Utrecht
Department / Institute: Population Health Science / Utrecht Universitya
Office: 0.030
Building: Martinus G. de Bruinge
m.b.rabaglino@uu.nl
31302533209
https://www.uu.nl/staff/MBRabaglino

Our Research

Pregnancy in mammals is a highly complex process that requires a precise dialogue between the developing embryo/conceptus and the maternal environment. Our approach involves the application of molecular data science tools, such as transcriptomics, multi-omics data integration and Machine Learning algorithms, to understand the regulation of pregnancy establishment and healthy foetal development in animals. The cow is a species of major interest, given its critical role in achieving sustainable food production. One of our main objectives is to characterise the bidirectional responses between the molecular profiles of the embryo and the endometrium (the inner layer of the uterus in contact with the embryo), leading to a successful pregnancy and the development of healthy offspring. Another broad objective is to test the hypothesis that maternal influences on foetal growth and, thus, on the physiology of the postnatal offspring can be quantified through the molecular signature in maternal blood at different stages of gestation, which in turn can be harnessed to construct predictive models of offspring characteristics.