Biography
Dr. Foguet received his bachelor's degree in Biochemistry from the University of Barcelona, where he developed an interest in Systems Biology. To pursue this interest, he enrolled in the Biohealth Computing Erasmus Mundus master program, enabling him to take courses in bioinformatics at the University of Turin and to develop new modelling tools at the TIMC laboratory of Joseph Fourier University. Next, he pursued a Ph.D. in Biotechnology at the University of Barcelona. During his Ph.D., he worked on new approaches to model metabolism at a genome-scale by integrating multiple layers of omics data and contributed to the PhenoMeNal project, an e-infrastructure for analysing medical metabolic data. He joined the CEU in April 2021, where he works on the analysis of genomic and multi-omic datasets as a member of the Cambridge node of the Inouye Lab.
Research
Dr. Foguet’s current research interest is using genome-scale metabolic models as platforms to integrate multiple layers of omics data to gain new insights into cardiovascular disease biology and unveil novel therapeutic targets.
Publications
1.López-Ayllón, B.D.; Marin, S.; Fernández, M.F.; García-García, T.; Fernández-Rodríguez, R.; de Lucas-Rius, A.; Redondo, N.; Mendoza-García, L.; Foguet, C.; Grigas, J.; et al. Metabolic and mitochondria alterations induced by SARS-CoV-2 accessory proteins ORF3a, ORF9b, ORF9c and ORF10. J. Med. Virol. 2024, 96, e29752, doi:10.1002/jmv.29752.
2.Xu, Y.; Ritchie, S.C.; Liang, Y.; Timmers, P.R.H.J.; Pietzner, M.; Lannelongue, L.; Lambert, S.A.; Tahir, U.A.; May-Wilson, S.; Foguet, C.; et al. An atlas of genetic scores to predict multi-omic traits. Nature 2023, 616, 123–131, doi:10.1038/s41586-023-05844-9.
3.de Atauri, P.; Foguet, C.; Cascante, M. Control Analysis in the Identification of Key Enzymes Driving Metabolic Adaptations: Towards Drug Target Discovery. Biosystems 2023, 104984, doi:10.1016/j.biosystems.2023.104984
4.Foguet, C.; Xu, Y.; Ritchie, S.C.; Lambert, S.A.; Persyn, E.; Nath, A.P.; Davenport, E.E.; Roberts, D.J.; Paul, D.S.; Di Angelantonio, E.; et al. Genetically personalised organ-specific metabolic models in health and disease. Nat. Commun. 2022, 13, 7356, doi:10.1038/s41467-022-35017-7.
5.Pedrosa, L.*; Foguet, C.*; Oliveres, H.; Archilla, I.; de Herreros, M.G.; Rodríguez, A.; Postigo, A.; Benítez-Ribas, D.; Camps, J.; Cuatrecasas, M.; et al. A novel gene signature unveils three distinct immune-metabolic rewiring patterns conserved across diverse tumor types and associated with outcomes. Front. Immunol. 2022, 13, doi:10.3389/fimmu.2022.926304.
6.Karakitsou, E.*; Foguet, C.*; Contreras Mostazo, M.G.; Kurrle, N.; Schnütgen, F.; Michaelis, M.; Cinatl, J.; Marin, S.; Cascante, M. Genome-scale integration of transcriptome and metabolome unveils squalene synthase and dihydrofolate reductase as targets against AML cells resistant to chemotherapy. Comput. Struct. Biotechnol. J. 2021, 19, 4059–4066, doi:10.1016/j.csbj.2021.06.049.
7.Tarragó-Celada, J.*; Foguet, C.*; Tarrado-Castellarnau, M.; Marin, S.; Hernández-Alias, X.; Perarnau, J.; Morrish, F.; Hockenbery, D.; Gomis, R.R.; Ruppin, E.; et al. Cysteine and Folate Metabolism Are Targetable Vulnerabilities of Metastatic Colorectal Cancer. Cancers (Basel). 2021, 13, 425, doi:10.3390/cancers13030425.
8.Foguet, C.; Jayaraman, A.; Marin, S.; Selivanov, V.A.; Moreno, P.; Messeguer, R.; de Atauri, P.; Cascante, M. p13CMFA: Parsimonious 13C metabolic flux analysis. PLOS Comput. Biol. 2019, 15, e1007310, doi:10.1371/journal.pcbi.1007310.
9.Peters, K.; Bradbury, J.; Bergmann, S.; Capuccini, M.; Cascante, M.; de Atauri, P.; Ebbels, T.M.D.; Foguet, C.; Glen, R.; Gonzalez-Beltran, A.; et al. PhenoMeNal: processing and analysis of metabolomics data in the cloud. Gigascience 2019, 8, doi:10.1093/gigascience/giy149.
10.Foguet, C.; Marin, S.; Selivanov, V.A.; Fanchon, E.; Lee, W.N.P.; Guinovart, J.J.; de Atauri, P.; Cascante, M. HepatoDyn: A Dynamic Model of Hepatocyte Metabolism That Integrates13C Isotopomer Data. PLoS Comput. Biol. 2016, 12, e1004899, doi:10.1371/journal.pcbi.1004899. *authors listed as having contributed equally to the publication
