Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Carles Foguet"'
Autor:
Adrián Povo-Retana, Marco Fariñas, Rodrigo Landauro-Vera, Marina Mojena, Carlota Alvarez-Lucena, Miguel A. Fernández-Moreno, Antonio Castrillo, Juan Vladimir de la Rosa Medina, Sergio Sánchez-García, Carles Foguet, Francesc Mas, Silvia Marin, Marta Cascante, Lisardo Boscá
Publikováno v:
Frontiers in Immunology, Vol 14 (2023)
In recent years, the central role of cell bioenergetics in regulating immune cell function and fate has been recognized, giving rise to the interest in immunometabolism, an area of research focused on the interaction between metabolic regulation and
Externí odkaz:
https://doaj.org/article/8c93cd93dcf841ecb1190e4b14b667a4
Autor:
Carles Foguet, Yu Xu, Scott C. Ritchie, Samuel A. Lambert, Elodie Persyn, Artika P. Nath, Emma E. Davenport, David J. Roberts, Dirk S. Paul, Emanuele Di Angelantonio, John Danesh, Adam S. Butterworth, Christopher Yau, Michael Inouye
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-15 (2022)
Here, the authors present a method to build genetically personalised metabolic models across tissues to estimate individualised reaction fluxes. A fluxome-wide association study in UK Biobank identifies fluxes associated with metabolites and coronary
Externí odkaz:
https://doaj.org/article/23538818abb444f69d502c15c55eb6de
Autor:
Leire Pedrosa, Carles Foguet, Helena Oliveres, Iván Archilla, Marta García de Herreros, Adela Rodríguez, Antonio Postigo, Daniel Benítez-Ribas, Jordi Camps, Miriam Cuatrecasas, Antoni Castells, Aleix Prat, Timothy M. Thomson, Joan Maurel, Marta Cascante
Publikováno v:
Frontiers in Immunology, Vol 13 (2022)
Existing immune signatures and tumor mutational burden have only modest predictive capacity for the efficacy of immune check point inhibitors. In this study, we developed an immune-metabolic signature suitable for personalized ICI therapies. A classi
Externí odkaz:
https://doaj.org/article/cc714daff1e1497f851797bec7a612cf
Autor:
Effrosyni Karakitsou, Carles Foguet, Miriam G. Contreras Mostazo, Nina Kurrle, Frank Schnütgen, Martin Michaelis, Jindrich Cinatl, Silvia Marin, Marta Cascante
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 19, Iss , Pp 4059-4066 (2021)
The development of resistance to chemotherapeutic agents, such as Doxorubicin (DOX) and cytarabine (AraC), is one of the greatest challenges to the successful treatment of Acute Myeloid Leukemia (AML). Such acquisition is often underlined by a metabo
Externí odkaz:
https://doaj.org/article/83a4b20897b144cfa36a752f3903e5b0
Autor:
Pedro de Atauri, Míriam Tarrado-Castellarnau, Josep Tarragó-Celada, Carles Foguet, Effrosyni Karakitsou, Josep Joan Centelles, Marta Cascante
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 7, p e1009234 (2021)
Metabolic adaptations to complex perturbations, like the response to pharmacological treatments in multifactorial diseases such as cancer, can be described through measurements of part of the fluxes and concentrations at the systemic level and indivi
Externí odkaz:
https://doaj.org/article/8f4e2159d42e41bf8158d242fb172797
Genome Scale Modeling to Study the Metabolic Competition between Cells in the Tumor Microenvironment
Publikováno v:
Cancers, Vol 13, Iss 18, p 4609 (2021)
The tumor’s physiology emerges from the dynamic interplay of numerous cell types, such as cancer cells, immune cells and stromal cells, within the tumor microenvironment. Immune and cancer cells compete for nutrients within the tumor microenvironme
Externí odkaz:
https://doaj.org/article/57368942ba4f4382a7359accea77e7d3
Autor:
Carles Foguet, Anusha Jayaraman, Silvia Marin, Vitaly A Selivanov, Pablo Moreno, Ramon Messeguer, Pedro de Atauri, Marta Cascante
Publikováno v:
PLoS Computational Biology, Vol 15, Iss 9, p e1007310 (2019)
Deciphering the mechanisms of regulation of metabolic networks subjected to perturbations, including disease states and drug-induced stress, relies on tracing metabolic fluxes. One of the most informative data to predict metabolic fluxes are 13C base
Externí odkaz:
https://doaj.org/article/38ccba5ca8b544d3a07053b25f40e4fd
Autor:
Josep Tarragó-Celada, Carles Foguet, Míriam Tarrado-Castellarnau, Silvia Marin, Xavier Hernández-Alias, Jordi Perarnau, Fionnuala Morrish, David Hockenbery, Roger R. Gomis, Eytan Ruppin, Mariia Yuneva, Pedro de Atauri, Marta Cascante
Publikováno v:
Cancers, Vol 13, Iss 3, p 425 (2021)
With most cancer-related deaths resulting from metastasis, the development of new therapeutic approaches against metastatic colorectal cancer (mCRC) is essential to increasing patient survival. The metabolic adaptations that support mCRC remain undef
Externí odkaz:
https://doaj.org/article/31dfe6e567b7432b9e6962b72a68148e
Autor:
Carles Foguet, Silvia Marin, Vitaly A Selivanov, Eric Fanchon, Wai-Nang Paul Lee, Joan J Guinovart, Pedro de Atauri, Marta Cascante
Publikováno v:
PLoS Computational Biology, Vol 12, Iss 4, p e1004899 (2016)
The liver performs many essential metabolic functions, which can be studied using computational models of hepatocytes. Here we present HepatoDyn, a highly detailed dynamic model of hepatocyte metabolism. HepatoDyn includes a large metabolic network,
Externí odkaz:
https://doaj.org/article/590fe85107d54419aa985020ca776596
Autor:
Yu Xu, Scott C. Ritchie, Yujian Liang, Paul R. H. J. Timmers, Maik Pietzner, Loïc Lannelongue, Samuel A. Lambert, Usman A. Tahir, Sebastian May-Wilson, Carles Foguet, Åsa Johansson, Praveen Surendran, Artika P. Nath, Elodie Persyn, James E. Peters, Clare Oliver-Williams, Shuliang Deng, Bram Prins, Jian’an Luan, Lorenzo Bomba, Nicole Soranzo, Emanuele Di Angelantonio, Nicola Pirastu, E. Shyong Tai, Rob M. van Dam, Helen Parkinson, Emma E. Davenport, Dirk S. Paul, Christopher Yau, Robert E. Gerszten, Anders Mälarstig, John Danesh, Xueling Sim, Claudia Langenberg, James F. Wilson, Adam S. Butterworth, Michael Inouye
Publikováno v:
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, Johansson, Å, Surendran, P, Nath, A P, Persyn, E, Peters, J E, Oliver-Williams, C, Deng, S, Prins, B, Luan, J, Bomba, L, Soranzo, N, Di Angelantonio, E, Pirastu, N, Tai, E S, van Dam, R M, Parkinson, H, Davenport, E E, Paul, D S, Yau, C, Gerszten, R E, Mälarstig, A, Danesh, J, Sim, X, Langenberg, C, Wilson, J F, Butterworth, A S & Inouye, M 2023, ' An atlas of genetic scores to predict multi-omic traits ', Nature, vol. 616, no. 7955, pp. 123-131 . https://doi.org/10.1038/s41586-023-05844-9
The use of omic modalities to dissect the molecular underpinnings of common diseases and traits is becoming increasingly common. But multi-omic traits can be genetically predicted, which enables highly cost-effective and powerful analyses for studies
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4ad66d3a872bd064ddfd33b2ad4f8b7
https://www.pure.ed.ac.uk/ws/files/337957796/An_atlas_of_genetic_scores_to_predict_multi_omic_traits_s41586_023_05844_9.pdf
https://www.pure.ed.ac.uk/ws/files/337957796/An_atlas_of_genetic_scores_to_predict_multi_omic_traits_s41586_023_05844_9.pdf