Author

Lucía Trilla‐Fuertes

Hospital Universitario La PazORCID 0000-0002-4452-3474Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:differential expression· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:gene regulatory network inference· 1 Assay:metabolomics· 1 Assay:proteomics· 1 Approach:simulation· 1

Frequent Co-Authors

Andrea Zapater‐MorosiD· 2 shared Angelo Gámez‐PozoiD· 2 shared Enrique EspinosaiD· 2 shared Guillermo Prado-Vázquez· 2 shared Hilario NavarroiD· 2 shared Jorge M. ArevalilloiD· 2 shared Juan Ángel Fresno VaraiD· 2 shared Mariana Díaz‐AlmiróniD· 2 shared

Activity by Year

2018-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersSystems Biology

Andrea Zapater‐MorosORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Computational metabolomics hints at the relevance of glutamine metabolism in breast cancer

Lucía Trilla‐Fuertes, Angelo Gámez‐Pozo, Elena López‐Camacho, Guillermo Prado-Vázquez, Andrea Zapater‐Moros, Rocío López‐Vacas, Jorge M. Arevalillo, Mariana Díaz‐Almirón, Hilario Navarro, Paloma Maı́n, Enrique Espinosa, Pilar M. Zamora, Juan Ángel Fresno Vara

The paper uses metabolomics and gene expression data to identify glutamine metabolism as important in breast cancer and shows drug targeting affects cell viability.

bioRxiv · Jul 11, 2019 · PreprintSystems Biology

Molecular characterization of breast cancer cell response to metabolic drugs

Lucía Trilla‐Fuertes, Angelo Gámez‐Pozo, Jorge M. Arevalillo, Mariana Díaz‐Almirón, Guillermo Prado-Vázquez, Andrea Zapater‐Moros, Hilario Navarro, Rosa Aras‐López, Irene Dapía, Rocío López‐Vacas, Paolo Nanni, Sara Llorente-Armijo, Pedro Arias, Alberto Manuel Borobia, Paloma Maı́n, , Juan Ángel Fresno Vara

The paper characterizes breast cancer cell responses to metabolic drugs using proteomics and computational models, showing heterogeneous effects and pathway-level flux changes.

Oncotarget · Jan 8, 2018Peer-reviewedSystems Biology