Author

C. Llorens

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Microbiology· 4 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Approach:experimental assay· 2 Approach:statistical model· 2 Research Focus:variant calling· 2 Research Focus:cell signaling & trafficking· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

R. Ramos-Ruiz· 3 shared A. Gamez-Pozo· 2 shared A. Moya· 2 shared E. Lopez-Camacho· 2 shared F. Baquero· 2 shared J. A. Fresno· 2 shared J.-M. Sempere· 2 shared L. Trilla-Fuertes· 2 shared

Activity by Year

2018-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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3 shared papersMicrobiology

R. Ramos-Ruiz

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

SARS-CoV-2 Point Mutation and Deletion Spectra, and Their Association with Different Disease Outcome

B. Martinez-Gonzalez, M. E. Soria, L. Vazquez-Sirvent, C. Ferrer-Orta, R. Lobo-Vega, P. Minguez, L. De la Fuente, C. Llorens, B. Soriano, R. Ramos-Ruiz, M. Corton, R. Lopez-Rodriguez, C. Garcia-Crespo, I. Gallego, A. I. de Avila, , C. Perales

The paper analyzes SARS-CoV-2 mutant spectra from diagnostic samples and finds higher point mutation complexity in isolates from patients with mild disease compared to moderate or severe disease.

bioRxiv · Jan 10, 2022Microbiology

Functional characterization of SARS-CoV-2 infection suggests a complex inflammatory response and metabolic alterations

L. Trilla-Fuertes, R. Ramos-Ruiz, N. Blanca-Lopez, E. Lopez-Camacho, L. Martin-Pedraza, P. Ryan Murua, M. Diaz-Almiron, C. Llorens, T. Gabaldon, A. Moya, J. A. Fresno, A. Gamez-Pozo

This study analyzes RNAseq data from COVID-19 patients and healthy controls to identify inflammatory and metabolic changes associated with SARS-CoV-2 infection.

bioRxiv · Jun 22, 2020 · PreprintMicrobiology

Simulating the Influence of Conjugative Plasmids Kinetic Values on the Multilevel Dynamics of Antimicrobial Resistance in a Membrane Computing Model

M. Campos, A. San-Milan, J.-M. Sempere, V. Fernandez-Lanza, T. M. Coque, C. Llorens, F. Baquero

This paper simulates how plasmid kinetic values affect antimicrobial resistance dynamics in a membrane computing model, finding that conjugation rates and plasmid loss rates influence plasmid dominance and resistance gene spread.

bioRxiv · Mar 27, 2020Microbiology

Comprehensive characterization of the mutational landscape in localized anal squamous cell carcinoma

L. Trilla-Fuertes, I. Ghanem, J. Maurel, L. G-Pastrian, M. Mendiola, C. Pena, R. Lopez-Vacas, G. Prado-Vazquez, E. Lopez-Camacho, A. Zapater-Moros, V. Heredia, M. Cuatrecasas, P. Garcia-Alfonso, J. Capdevila, C. Conill, , J. A. Fresno

This study identifies high-impact genetic variants in anal squamous cell carcinoma and links some to poor prognosis.

bioRxiv · Oct 7, 2019Cancer Biology

Simulating multi-level dynamics of antimicrobial resistance in a membrane computing model

M. Campos, R. Capilla, C. Llorens, R. Canton, A. Moya, J.-M. Sempere, T. Coque, V. Fernandez-Lanza, F. Naya, R. Futami, F. Baquero

The paper uses a membrane computing model to simulate and analyze the multi-level dynamics of antimicrobial resistance across genes, clones, species, hosts, and environments.

bioRxiv · Nov 16, 2018 · PreprintMicrobiology