Delighted to share preprint of our new work, where we look at the clinical and molecular landscape of acquired resistance in lung cancer patients.
https://t.co/ogEyj3yJSu
Immune checkpoint inhibitors have been transformative for many patients with #lungcancer, but acquired resistance remains a challenge. A study by @danishm20, @AdamJSchoenfeld, & team found molecular features that may guide the development of new therapies. https://t.co/yfVVIEBoCz
Excited to share our article in @Cancer_Cell on clinical and molecular features of acquired resistance to #immunotherapy in #lungcancer.
We identify acquired resistance occurs in over >60% of initial responders and investigate underlying mechanisms.
https://t.co/bpauTmr7Ez
Cancer is more than its DNA. Now in published form, our study of predicted kinase/TF activities from multi-omics data, with a striking result being a lack of expected associations between mutations and activities
@abelfsousa with @DugourdAjf@saezlab@e_petsalaki@danishm20
During the course of this pandemic, multiple variants of concern have been identified for #SARSCoV2.
New research in @Nature investigates the evolution of the Alpha variant as a result of immune evasion. @UCSF@uclnews@pedrobeltrao
https://t.co/5Y9oFAT8uB
Jointly with @arneelof's group we applied Alphafold to predict complex structures for 65,000 human protein-protein interactions. Here is what we learned in trying to generate a structurally resolved human interaction network https://t.co/Zh5GSWW4D6
75% of the human #proteome is phosphorylated but only 5% of these #phosphosites have a known function. Find out how @EMBL scientists are screening thousands of yeast colonies to uncover the function of some of these phosphosites.
https://t.co/i6b84yiaEn
We joined a large community effort to assess diverse applications of AlphaFold 2 in the context of novel structural elements; missense variants; function and ligand binding sites; modelling of interactions and experimental structural data. Some highlights below:
Read this News&Views by @EmboMolMed & @pedrobeltrao about our study on serum proteome trajectories of COVID-19. They highlight our use of detailed time course data in diagnosing this and other diseases by plasma proteome profiling. https://t.co/5jUq3xpsUj
https://t.co/BBR1dJv0HL
Delighted to share preprint of our new work, where we look at the clinical and molecular landscape of acquired resistance in lung cancer patients.
https://t.co/ogEyj3yJSu
generous biotech collaborators (Taylor Schreiber and George Fromm @ShattuckLabs) with valuable inputs from other collaborators (Ben Greenbaum, Marta Łuksza, Andy Minn, Nicholas McGrahanan and others). Finally, this work would not be possible without the support of @pedrobeltrao.
The inflammatory phenotypes have implications for future rational development of new immunotherapy strategies. As indicated, this work was a fantastic collaboration across the pond with clinical experts (Matt, Hira, Adam and others from MSKCC),