Molecular Chaperones in Cancer and Protein Quality Control Frontiers in Immunomodulation and Cancer Therapy (2nd edition)

Home | Events | Seminars | Page 3

For these events, a scientist of international standing is invited to conduct a seminar or otherwise interact with the CNIO’s team of researchers. Several of these are scheduled over the course of the year and are open to the public. Participants come from different fields, literature and technology included. The aim is to create a stimulating environment that helps to clear minds of stale thoughts and replace them with new ideas.

Ad Hoc Seminar 30/11/2023
Iban Ubarretxena Belandia
Cryo-EM studies on DNA polymerases and Protein Chaperonins
Women in Science Office Seminar 20/11/2023
Ana Maiques
Revolutionizing brain therapies from Barcelona to Boston – a story of entrepreneurship in the healthcare sector (this seminar will be held in English)
Distinguished Seminar 17/11/2023
Joseph Takahashi
Role of Circadian Clocks in Healthspan and Lifespan in Mice
Ad Hoc Seminar 13/11/2023
David Vilchez
Cold temperature delays aging and proteostasis collapse
Doctoral Thesis 13/11/2023
Javier Lanillos
NGS data-driven pharmacogenomics: preemptive germline testing and renal cell carcinoma predictive response biomarkers
Doctoral Thesis 03/11/2023
Pablo Valledor
Ubiquitin and SUMO in DNA replication: from molecular studies to age-related pathologies
Distinguished Seminar 03/11/2023
Walid Khaled
Tumour Initiation Through Aberrant Differentiation: Lessons from Single Cell Genomics
Distinguished Seminar 27/10/2023
Marta María Alonso Roldán
Locking TIM3 as a therapeutic strategy for pediatric diffuse midline Glioma
Distinguished Seminar 20/10/2023
Luis A. Diaz
Immunotherapy and mismatch repair deficiency
Ad Hoc Seminar 10/10/2023
Faiyaz Notta
Phenotypes of pancreatic cancer
Doctoral Thesis 10/10/2023
Raúl Sánchez
Functional study of mutations in TRF1 and POT1 and their impact on telomere biology and tumorigenesis
Ad Hoc Seminar 09/10/2023
Julio Sáez-Rodríguez
Knowledge-based machine learning on multi-omics to dissect cancer mechanisms

Up