Lily Blair (@blairlilym) 's Twitter Profile
Lily Blair

@blairlilym

ID: 1193999786946392064

calendar_today11-11-2019 21:11:56

46 Tweet

29 Followers

31 Following

Gautam Kollu (@gautamkollu) 's Twitter Profile Photo

Learned something new today about cancer genetics from this paper. Counter-intuitive findings from a high throughput perturbation system - an oncogene doesn't always behave like an oncogene (and nor do tumor suppressors). Context matters!👇🏾

Galym Imanbayev (@galymimanbayev) 's Twitter Profile Photo

Truly seminal piece of work - in both implications on our understanding of cancer biology and the interdisciplinary methods by which we can interrogate it. Great job D2G Oncology team on advancing this work! #oncology #biotech

Ian Winters (@ianwinters90) 's Twitter Profile Photo

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.

Astrid Spain (@astridrspain) 's Twitter Profile Photo

Exceptionally smart insights into cancer genetics courtesy of D2G Oncology's multiplexed, immunocompetent, autochthonous genetically engineered mouse platform.

Dmitri Petrov (@petrovadmitri) 's Twitter Profile Photo

Very proud of this work! I am going to write a longer thread but for now, check out the paper (biorxiv.org/content/10.110…) and the thread below. The fitness landscape of tumor suppression is complex and cannot be gleaned from simple linear idea of EGFR->KRAS->BRAF signaling 1/n

Alyna Katti (@alynakatti) 's Twitter Profile Photo

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

Charles Swanton (@charlesswanton) 's Twitter Profile Photo

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

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 ⁦<a href="/CRUKLungCentre/">CRUK Lung Centre</a>⁩ meeting 2022
Jackie Carozza (@jacarozza) 's Twitter Profile Photo

A blog post I contributed exploring how researchers are currently using bioRxiv to post non-traditional articles and opportunities for the future. Thanks ASAPbio for the support and for championing preprints!

Dmitri Petrov (@petrovadmitri) 's Twitter Profile Photo

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

Gautam Kollu (@gautamkollu) 's Twitter Profile Photo

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!

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 <a href="/LizzyLaw_/">Lizzy Lawrence</a> for moderating!
Alyna Katti (@alynakatti) 's Twitter Profile Photo

Excited to share this labor of love from my grad work and our team Dow Lab Adrián Vega, PhD. I remember when I first targeted the mESCs and now it is a generalizable tool for programming point mutations in vivo and in organoids to engineer complex tumor models!

Jamie Blundell (@jrblundell) 's Twitter Profile Photo

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! 👇