ATGCCGGAATTGGCACATAACAAGTACTGCCTCGGTCCTTAAGCTGTATTGCACCATATGACGGATGCCGGAATTGGCACATAACAAGTAC
TGCCTCGGTCCTTAAGCTGTATTGCACCATATGACGGATGCCGGAATTGGCACATAACAACGGTCCTTAAGCTGTATTGCACCATATGACG
GATGCCGGAATTGGCACATAACAAGTACTGCCTCGGTCCTTAAGCTGTATTTCGGTCCTTAAGCTGTATTCCTTAACAACGGTCCTTAAGG
ATGCCGGAATTGGCACATAACAAGTACTGCCTCGGTCCTTAAGCTGTATTGCACCATATGACGGATGCCGGAATTGGCACATAACAAGTAC
TGCCTCGGTCCTTAAGCTGTATTGCACCATATGACGGATGCCGGAATTGGCACATAACAACGGTCCTTAAGCTGTATTGCACCATATGACG
GATGCCGGAATTGGCACATAACAAGTACTGCCTCGGTCCTTAAGCTGTATTTCGGTCCTTAAGCTGTATTCCTTAACAACGGTCCTTAAGG
The Cancer Systems Immunology lab focuses on understanding how the immune system responds to cancer. We aim to define cancer-associated immune cell states, to identify the genetic programs that drive their differentiation, to reveal how immune cells are impacted by cancer immunotherapies and what is their role in immunotherapies resistance. Our vision is that improved cancer immunotherapies will derive from innovative systems biology approaches that can exploit the vast amounts of single-cell omics data that are being generated. We develop novel computational methods, conduct meta-analyses of public data and generate hypotheses that are tested by our experimental collaborators.
Read "Fast and automated interpretation of single-cell RNA-seq data” - an interview with Santiago Carmona about his in silico talk