Professor in Biological Sciences @unccharlotte Group leader, Charlotte Group for Proteostasis Research Interested in the role of Hsp70 PTMs (Chaperone Code)
Super excited to share our latest work on the Hsp70 chaperone code "Mechanosensor-mediated Hsp70 phosphorylation orchestrates the landscape of the heat shock response" out now in @NatureComms :https://t.co/eNk3iHrq2h. @UNCCBiology@unccharlotte#hsp70
If you’re letting AI do a review of a manuscript for you, just know that (A) it’s super obvious to anyone reading it, (B) it’s dishonest - as you’re explicitly instructed not to do so, and (C) it’s careless - because you’re uploading someone’s confidential material to an AI app.
Today in @NatureBiotech we report OptiPrime, a mechanism-based machine learning model for predicting prime editing (PE) efficiencies and suggesting pegRNAs to achieve a user-specified edit. OptiPrime incorporates biochemical knowledge about PE into its mathematical structure, enabling training on ~300,000 PE efficiencies collected using 40 experimental conditions in multiple labs, and outcome predictions of PE variants such as twin prime editing not used in its training. OptiPrime enabled the rapid identification of efficient PE strategies across a variety of applications in vitro and in vivo, and could outperform months or years of manual experimental optimization.
Try out OptiPrime here: https://t.co/ahQPQ9MjYW
PDF: https://t.co/0xHQa5og0f
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UNC Charlotte ranks No. 17 in the nation and No. 1 in NC on SmartAsset’s 2026 list of America’s Best Value Public Universities. The ranking reflects what matters most: affordability, graduation and strong career outcomes.
https://t.co/sNiEP7hp96
We are looking for motivated postdocs to join our lab starting Spring 2027 to study the Hsp70 Chaperone Code and Proteostasis, see here for more details:
https://t.co/YeyuxJZXgU
@arjunrajlab@AdamRochussen Past productivity demonstrates the feasibility of carrying out the good ideas proposed, especially for major grants like an R01. For pilot studies/seed grants then less so.
Our paper in @Nature today 🥳 We tracked 6,438 mice from puberty to death and mapped the genetics of *when* you die, not just whether a gene associates with lifespan.
https://t.co/EoeexqJoHk
59 loci. Two decades of data. Thread 👇
#Longevity#Aging#Genetics#Healthspan