Prof. Dr. Rodrigo Mora

Profil

Derzeitige StellungProfessor W-3 und Äquivalente
FachgebietZellbiologie,Virologie
KeywordsSystems Biology, microglia/macrophages, Brain cancer, Glutamate response, miRNA

Aktuelle Kontaktadresse

LandCosta Rica
OrtSan Jose
Universität/InstitutionUniversidad de Costa Rica
Institut/AbteilungCentro de Investigación en Cirugía y Cáncer (CICICA)

Gastgeber*innen während der Förderung

Dr. Anne Regnier-VigourouxFachbereich Biologie, Johannes Gutenberg-Universität Mainz, Mainz
Prof. Dr. Rodrigo Mora, San Jose
Beginn der ersten Förderung01.07.2020

Programm(e)

2018Georg Forster-Forschungsstipendien-Programm für erfahrene Forschende

Publikationen (Auswahl)

2023Bravo-Estupiñan DM, Aguilar-Guerrero K, Quirós S, Acón MS, Marín-Müller C, Ibáñez-Hernández M, Mora-Rodríguez RA.: Gene dosage compensation: Origins, criteria to identify compensated genes, and mechanisms including sensor loops as an emerging systems-level property in cancer.. In: Cancer Med., 10.1002/cam4.6719, 2023,
2023Mesén-Porras, S.; Rojas-Céspedes, A.; Molina-Mora, J.A.; Vega-Baudrit, J.; Siles, F.; Quiros, S.; Mora-Rodríguez, R.: Sphingolipid-Based Synergistic Interactions to Enhance Chemosensitivity in Lung Cancer Cells.. In: Cells, 12, 2023, 2588
2022Carsten Geiß, Elvira Salas, Jose Guevara-Coto, Anne Régnier-Vigouroux and Rodrigo A. Mora-Rodríguez: Multistability in Macrophage Activation Pathways and Metabolic Implications. In: Cells, 2022,
2022Molina-Mora, J., Mesen-Porras, S., Quiros-Fernandez, I., Kop-Montero, M., Rojas-Cespedes, A., Quiros, S., Siles, F., & Mora, R.: Sphingolipid pathway as a biosensor of cancer chemosensitivity: a proof of principle.. In: Uniciencia, 36, 2022, 1-15
2021Jorge L. Arias-Arias. Rodrigo Mora-Rodríguez.: Fluorescence imaging approaches in flavivirus research.. Springer International Publishing, 2021
2021Arias-Arias, J. L. and Mora-Rodríguez, R.: Generation and Implementation of Reporter BHK-21 Cells for Live Imaging of Flavivirus Infection.. In: Bio-protocol 11, 2021, e3942.
2021Patterson, B. Guevara-Coto, J. Yogendra, R. Francisco, E. Long, E. Pise, A. Rodrigues, A. Parikh, P. Mora, J. Mora-Rodríguez RA.: Immune-Based Prediction of COVID-19 Severity and Chronicity Decoded Using Machine Learning.. In: Front. Immunol., 2021,
2021ManSai Acón, CarstenGeiß, JorgeTorres-Calvo, DianaBravo-Estupiñan, GuillermoOviedo, Jorge L.Arias-Arias, Luis A.Rojas-Matey, BaezEdwin, GlorianaVásquez-Vargas, YendryOses-Vargas, JoséGuevara-Coto, AndrésSegura-Castillo, FranciscoSiles-Canales, SteveQuirós-Barrantes, AnneRégnier-Vigouroux, PedroMendes, RodrigoMora-Rodríguez: MYC dosage compensation is mediated by miRNA-transcription factor interactions in aneuploid cancer. In: iScience, 2021, 103407
2021Quiros-Fernandez, I.; Figueroa-Protti, L.; Arias-Arias, J.L.; Brenes-Cordero, N.; Siles, F.; Mora, J.; Mora-Rodríguez, R.A.: Perturbation-Based Modeling Unveils the Autophagic Modulation of Chemosensitivity and Immunogenicity in Breast Cancer Cells.. In: Metabolites, 11, 2021, 637
2020Jorge L. Arias-Arias, Derek J. MacPherson, Maureen E. Hill2, Jeanne A. Hardy, and Rodrigo Mora-Rodríguez.: A fluorescence activatable reporter of flavivirus NS2B-NS3 protease activity enables live imaging of infection in single cells and viral plaques.. In: Journal of Biological Chemistry, 2020,
2020Alanee SR, Roumayah Z, Deebajah M, Peabody JO, Mora R, Guevara J, Francisco B & Patterson BK: Adaptive genetic algorithms combined with high sensitivity single cell-based technology derived urine-based score to differentiate between high-grade and low-grade transitional cell carcinoma of the bladder.. In: Journal of Clinical Oncology, 38, 2020, 572-572.
2020Molina-Mora, J.A., Chinchilla-Montero, D., Chavarría-Azofeifa, M. Ulloa-Morales, A., Campos Sánchez, R., Mora-Rodríguez, R Shi, L. García, F.: Transcriptomic determinants of the response of ST-111 Pseudomonas aeruginosa AG1 to ciprofloxacin identified by a top-down systems biology approach. . In: Sci Rep 10, 2020, 13717
2019Shaheen Alanee, Musatafa Deebajah, Craig Rogers, Pin-I Chen BS, Rodrigo Mora, Jose Guevara, Brian Francisco, Bruce K. Patterson.: Using Adaptive Genetic Algorithms Combined with High Sensitivity Single Cell-Based Technology to Detect Bladder Cancer in Urine and Provide a Potential Noninvasive Marker for Response to Anti-PD1 Immunotherapy.. In: Urologic Oncology: Seminars and Original Investigations, 2019,