Xiaokun Shu (@shulab2010) 's Twitter Profile
Xiaokun Shu

@shulab2010

Professor@UCSF: Applying laws of Physics & Chemistry to design tools for Biology; Visualizing dynamic cell signaling in vivo, and expecting unexpected fun🤪.

ID: 2936666084

linkhttps://shulab.ucsf.edu calendar_today20-12-2014 04:12:08

1,1K Tweet

1,1K Followers

811 Following

Charles Swanton (@charlesswanton) 's Twitter Profile Photo

ecDNA are rogue genetic material that amplify genes, contribute to treatment resistance and drive genomic heterogeneity. We report on the Origins and impact of extrachromosomal DNA today in nature nature.com/articles/s4158…

Carolyn Bertozzi (@carolynbertozzi) 's Twitter Profile Photo

WOW! Sarafan ChEM-H Institute Scholar Mischel Lab and Institute Fellow Howard Chang and coworkers drop three (!) nature papers on the origins, maintenance and consequences of #ecDNA in cancer, with therapeutic targeting via CHK1 inhibition. med.stanford.edu/news/all-news/…

nature (@nature) 's Twitter Profile Photo

A scientist who successfully treated her own breast cancer by injecting the tumour with lab-grown viruses has sparked discussion about the ethics of self-experimentation go.nature.com/3NXqzEq

Xiaokun Shu (@shulab2010) 's Twitter Profile Photo

Looking for long-term collaborators to demo & apply new ultrasensitive protease, kinase, PPI reporters/tools (unpublished) in model organisms e.g. worm, fly, zebrafish, mice, plants, who are open to share the resources to the community. It will be fun! Email: [email protected]

Jiao Sun (@sunjiao123sun_) 's Twitter Profile Photo

Mitigating racial bias from LLMs is a lot easier than removing it from humans! Can’t believe this happened at the best AI conference NeurIPS Conference We have ethical reviews for authors, but missed it for invited speakers? 😡

Mitigating racial bias from LLMs is a lot easier than removing it from humans! 

Can’t believe this happened at the best AI conference <a href="/NeurIPSConf/">NeurIPS Conference</a> 

We have ethical reviews for authors, but missed it for invited speakers? 😡
Xu Zhou (周旭) (@xuzhoulab) 's Twitter Profile Photo

Beyond troubling racial implications Massachusetts Institute of Technology (MIT) NeurIPS Conference, the quote do NOT represent Chinese education or culture, which emphasize morality, virtue and doing the right thing. rely on hearsay and broadly paint Chinese or Chinese students in a negative category is simply unacceptable

梁Charlie (@xjpssbgcdkt) 's Twitter Profile Photo

Jiao Sun NeurIPS Conference It's like when a journalist asks Ted Bundy why he's a serial killer, and he says it's because American society didn't teach him morals and values, so the journalist concludes that American society won't teach morals and values.

EarthScope Consortium (@earthscope_sci) 's Twitter Profile Photo

Top Movers and Shakers of 2024 2024 saw over 1,500 earthquakes magnitude 5 and above (shown in animation) and 10 earthquakes of magnitude 7 or above.

Shruti (@heyshrutimishra) 's Twitter Profile Photo

He is Liang Wenfeng, CEO of DeepSeek AI. 🚀 5 years ago, he walked away from Wall Street to chase a dream. His insane journey will blow your mind. (Read below) 👇

He is Liang Wenfeng, CEO of DeepSeek AI. 🚀

5 years ago, he walked away from Wall Street to chase a dream.

His insane journey will blow your mind. (Read below) 👇
Shruti (@heyshrutimishra) 's Twitter Profile Photo

1. Before DeepSeek, Liang was the genius behind Huanfang Quantitative, an AI-powered hedge fund that crushed Wall Street. His algorithms predicted market trends with scary accuracy. But Liang wasn’t satisfied. He saw a bigger problem to solve: AI for everyone, not just the

1. Before DeepSeek, Liang was the genius behind Huanfang Quantitative, an AI-powered hedge fund that crushed Wall Street.

His algorithms predicted market trends with scary accuracy.

But Liang wasn’t satisfied.

He saw a bigger problem to solve: AI for everyone, not just the
Hekstra Lab (@hekstralab) 's Twitter Profile Photo

Crystal structures are *not* God-given truth. They approximate, w/ flaws & errors, X-ray diffraction data. AlphaFold etc. have been trained on structures, not data. SFCalculator now differentiably connects structures to diffraction data. What does this enable? 🧵 1/4

Crystal structures are *not* God-given truth. They approximate, w/ flaws &amp; errors, X-ray diffraction data. AlphaFold etc. have been trained on structures, not data. SFCalculator now differentiably connects structures to diffraction data. What does this enable? 🧵 1/4
Elliot Hershberg (@elliothershberg) 's Twitter Profile Photo

Extremely clever new NGS tech from Roche 🧬 If it's hard to discriminate between nucleic acids accurately with a nanopore, why not synthesize a new polymer off a DNA template that is easier to sequence? It's an intuitively simple idea, but took *a ton* of creative nucleic acid

Jack Scannell (@jackscannell13) 's Twitter Profile Photo

AI can't "solve" all diseases for the simple reason that all diseases were solved by computational chemistry in 1985, by high throughput screening in 1995, by genomics in 2000, by RNAi in 2004, by stem cells and nanotechnology in 2005, before being solved by CRISPR in 2015.

Niko McCarty 🧫 (@nikomccarty) 's Twitter Profile Photo

Beautiful paper. Scientists solved the structure of myosin—the protein that forms contractile filaments in muscle cells—in multiple configurations using Cryo-EM. They captured the entire power stroke action (where myosin pulls on actin to shorten the muscle) at4.4 Å resolution.

Xiaokun Shu (@shulab2010) 's Twitter Profile Photo

AACR, Chicago. New Physical Biology of Oncoprotein Condensates: Differential regulation of the transcriptome by phase separation.

AACR, Chicago. New Physical Biology of Oncoprotein Condensates: Differential regulation of the transcriptome by phase separation.
Cancer Discovery (@cd_aacr) 's Twitter Profile Photo

For those attending the #AACR25 Cancer Evolution Working Group Town Hall, don't miss the review in this month's issue: The Hallmarks of Cancer as Eco-Evolutionary Processes brnw.ch/21wShlV By Ranjini Bhattacharya and colleagues

For those attending the #AACR25 Cancer Evolution Working Group Town Hall, don't miss the review in this month's issue: The Hallmarks of Cancer as Eco-Evolutionary Processes brnw.ch/21wShlV
By <a href="/RanjiniBhattac2/">Ranjini Bhattacharya</a> and colleagues