1/3 Our Tahoe-100M paper is out in Cell today, in a special edition dedicated to modeling human cell. We released Tahoe-100M last year. It has been downloaded 600K+ times and it has become the basis for most serious efforts in building cell state models. We are proud of that. @tahoe_ai
Just posted a preprint on a huge new single-cell study of Parkinson’s and its application to understanding noncoding variation. 🧵below. Led by Shreya Menon and Adam Turner and in collab w/ GP2 (@ASAP_Research), @BelloyMichael, @ZihHuaFang and others. https://t.co/tBKZgq5bQ7
Preprint drop from our team at @arcinstitute! Introducing STATE: a model that learns and predicts transcriptomic responses to chemical or genetic perturbations. This is the first model to beat simple linear baselines and our first step toward building a virtual cell model.
I'm excited to release what I've been cooking up the past few months at @arcinstitute
BINSEQ is a family of binary file formats for sequencing data built with paired records and parallel processing in mind with big performance gains (2x-40x) over gzip-fastq with similar storage
Happy to share our new work with @haognguyen on targeting mRNA translation of oncogenes by RNA structure remodeling with a small molecule zotatifin. Congrats to @DuyguKuzuoglu an amazing postdoc and all the authors and collaborators!
https://t.co/RGH6wZqkLl
☕️@ScientistJoanna, @RuggeroDavide & co perform a genome-wide CRISPRi screen and identify RBM42 as a ribosome-associated protein that modulates MYC translation and an #oncogenic mRNA program required for #PancreaticCancer growth.
👉🏼https://t.co/SWt5DxRqpF
https://t.co/IHcOfFPdDn
We are excited to share our new work out today in @NatureCellBio uncovering a new Achilles heel of pancreatic cancer. Myc is a key driver of PDAC and predicts poor survival. Thus, we asked the question of how Myc protein levels are regulated in PDAC.
👉 https://t.co/EMqDE5hX9M 🎉
Our latest from the indefatigable @iamjohnnyyu in collaboration with @JswLab and @kevansf. Meet GENEVA, which enables simultaneous phenotyping and profiling of cancer cell drug responses at scale; both in vitro and in vivo across a variety of models: https://t.co/KswU7qtIRE
The final version of is now published: https://t.co/CW0xH4MqYo
Congratulations @khorms57 and our team across 3 groups, ours, @FKHM, and @halfacrocodile!
We’re thrilled to welcome Hani Goodarzi @genophoria, Associate Professor of Biochemistry & Biophysics @UCSF, as our newest Core Investigator
His groundbreaking research uses machine learning models and experimental frameworks to dig into cancer progression and metastasis.
Check out our latest paper in @NatureCellBio exploring the link between alternative polyadenylation, translation efficiency, and metastasis. https://t.co/0tmJUj4KwG
Thanks to @vishvak2000 we are also releasing an RNA binding protein (RBP) browser for dynamic visualization of RBP-RBP interactions in our preprint (1/7) https://t.co/BMlAeZ9jIQ
We have open positions for Jr Specialists in our group, both wet and dry. Anyone who is interested, feel free to reach out.
https://t.co/UgnLjqJ3Hx
https://t.co/CljPxtyjee
New research in @BiologicalPsyc1 shows how discrimination affects the brain-gut microbiome-immune system. Suggests discrimination contributes to health inequalities & psychological symptoms:https://t.co/TCKIfjAGmh
@AGuptaCNS
@TienDongMD@vishvak2000
@emeranamayer