Lily Blair
@blairlilym
ID: 1193999786946392064
11-11-2019 21:11:56
46 Tweet
29 Followers
31 Following
Woo! So proud of my D2G family, amazing to have this pre-print out on bioRxiv. Huge thanks to Lily Blair and the rest of our phenomenal team and collaborators for getting this across the finish line! A big step forward in our understanding of genetic interactions in lung cancer.
Very exciting to see such an elegant and informative study from D2G Oncology, where I recently joined the team, that employs a mouse model engineered by my graduate lab team Brian Dowland Maria Paz Zafra! Doesn't get better than that! Congrats to all involved 🥳 Lily Blair Ian Winters
Monte Winslow keynote #CRUKlung22 presenting his extraordinary insights into modelling lung cancers complexity and quantifying tumour initiation and growth w genetically engineered models and barcode sequencing CRUK Lung Centre meeting 2022
My fearless and great collaborator Monte Winslow's Lab is hitting it out of the park!
Well, would you look at that! Another round of congrats to Alyna Katti Bianca Diaz and @cmcaragine on a fantastic review. Thanks to Nature Reviews Cancer and Anna Dart for the invitation to Neville Sanjana and I 😊
Completely agree especially with #1. We are at the very beginning though. Most people are treated with drugs given to all comers with low chance of success. We must find a way to do better and it is one of my life’s goals to help find a way to do much better. Monte Winslow's Lab #tubaseq
NEW review out today published with Springer Nature in Nature Reviews Cancer by our very own Jess Hebert American Cancer Society !! rdcu.be/dbfSR #Metastasis #MouseModels #Methods
Had a great time at #STATBreakthrough discussing current and future state of liquid biopsy tests with the companies at the forefront of a still nascent market. Thanks to Lizzy Lawrence for moderating!
So proud of this work and Caroline Watson’s relentless hard work getting it together! Lots of mysteries we still don’t understand but amazing to me how well a simple model works in capturing the VAF distributions and the mutation rate and fitness insights that follow! 👇