How discrimination gets under the skin: Biological dysregulation of the brain-gut-microbiome-immune system in diverse racial groups at #DDW2022! 🌟Tien Dong MD, PhD 🔹Translational Symposium, 3:15 pm, Room 11 🔹 🖊️on twitter: @emeranamayer Hiram BeltránSánchez Vishvak Subramanyam @AGuptaCNS

Many of our undergraduates presented for the UCLA Undergraduate Research Week. Congratulations to Hedi, Gwen, Chloe, Rui, Lorena, Sean, Alex, Vishvak, Jackson, Abe, and Dian!

how does discrimination effect our biology and make us sick 👉doi.org/10.1016/j.biop… Health Disparities Director, National Institute of Mental Health Tien Dong MD, PhD Gilbert Gee UCLA Gastroenterology and Hepatology UCLA DOM EDI UCLA Health News DGSoM Weekly Digest

New research in Biological Psychiatry shows how discrimination affects the brain-gut microbiome-immune system. Suggests discrimination contributes to health inequalities & psychological symptoms:spkl.io/60184k45I @AGuptaCNS Tien Dong MD, PhD Vishvak Subramanyam @emeranamayer

We have open positions for Jr Specialists in our group, both wet and dry. Anyone who is interested, feel free to reach out. aprecruit.ucsf.edu/JPF04397 aprecruit.ucsf.edu/JPF04398

Thanks to Vishvak Subramanyam we are also releasing an RNA binding protein (RBP) browser for dynamic visualization of RBP-RBP interactions in our preprint (1/7) goodarzilab.shinyapps.io/RBP-Browser/

Check out this shiny new shiny app Vishvak Subramanyam and Matvei Khoroshkin have put together... go check out your favorite RBPs!

Check out our latest paper in Nature Cell Biology exploring the link between alternative polyadenylation, translation efficiency, and metastasis. nature.com/articles/s4155…

congratulations Michelle Guan on your work highlighting #resilience and #braingutmicrobiome alterations with Physical Activity nature.com/articles/s4159… UCLA Health UCLA Fielding School of Public Health UCLA Gastroenterology and Hepatology Tien Dong MD, PhD Department of Medicine at UCLA Health UCLA Internal Medicine Chief Residents

We’re thrilled to welcome Hani Goodarzi Hani Goodarzi, Associate Professor of Biochemistry & Biophysics UC San Francisco, as our newest Core Investigator His groundbreaking research uses machine learning models and experimental frameworks to dig into cancer progression and metastasis.

Folks about to graduate with bioinformatics/data science backgrounds who are interested in research, please apply: aprecruit.ucsf.edu/JPF04398

The final version of is now published: nature.com/articles/s4146… Congratulations Matvei Khoroshkin and our team across 3 groups, ours, Faraz K Mardakheh, and Vanja (Ivan Kulakovskiy)!

Our latest from the indefatigable Johnny Yu in collaboration with Jonathan Weissman's Lab and Kevan Shokat. 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: biorxiv.org/content/10.110…

We are excited to share our new work out today in Nature Cell Biology 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. 👉 rdcu.be/d8xLT 🎉

Thanks Levi Gadye, for the wonderful and insightful highlight of our last publication! UC San Francisco ucsf.edu/news/2025/02/4…

☕️Joanna Kovalski, Davide Ruggero & 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. 👉🏼rdcu.be/ecb4e bit.ly/41rGfGb

Happy to share our new work with Hao Nguyen on targeting mRNA translation of oncogenes by RNA structure remodeling with a small molecule zotatifin. Congrats to ⁦Duygu Kuzuoglu Ozturk⁩ an amazing postdoc and all the authors and collaborators! cell.com/cancer-cell/fu…

I'm excited to release what I've been cooking up the past few months at Arc Institute 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

Introducing Arc Institute’s first virtual cell model: STATE

Preprint drop from our team at Arc Institute! 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.