Xiaokun Shu

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

[Brandon Luu, MD @BrandonLuuMD]

If you don’t exercise, just do 3x1 minute bursts of intense movement daily (rush up the stairs, walk briskly, bike hard, etc)

In a UK Biobank study, this was associated with a 40% reduction in mortality

[Christoph Burch @ChristophBurch]

Exercise Delays Brain Ageing Through Muscle-Brain Crosstalk
https://t.co/9BLoll6sED

[VraserX e/acc @VraserX]

Scientists boosted a single protein in aging mice and the results were wild.

Stronger muscles. Denser bones. Sharper cognition.
All linked to Klotho, often called the “longevity protein.”

It is only mice, and humans are more complex. But if Klotho proves out in people, we may not just add years to life.
We may add youth to age.

The frontier of longevity is shifting from vitamins to gene therapy.

[nature @Nature]

Nature research paper: Isothermal solidification for high-entropy alloy synthesis

https://t.co/WFzdGMyyqg

[Cancer Discovery @CD_AACR]

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 https://t.co/YkjE6tSum8
By @RanjiniBhattac2 and colleagues

[Xiaokun Shu @ShuLab2010]

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

[Niko McCarty. @NikoMcCarty]

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.

[Jack Scannell @JackScannell13]

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. @DShaywitz

[David Sinclair @davidasinclair]

Here’s a list of all major sources of DNA damage in our daily lives & how to avoid them.. 🧵

[Elliot Hershberg @ElliotHershberg]

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 chemistry + enzyme engineering to design modified NTPs and create polymers of them.

It's been very interesting to see Roche move into the NGS market, and time will tell how this stacks up with the growing set of totally orthogonal approaches people are cooking up for sequencing tech.

It feels like we are entering another renaissance for biological measurement infrastructure—which is super important.

“Progress depends on the interplay of techniques, discoveries, and ideas, probably in that order." - Sydney Brenner

(These animations of sequencing tech will never get old to me. What a time to be a biologist!)

[Elliot Hershberg @ElliotHershberg]

Preprint from Roche: https://t.co/XfOutlhgRF

[Hekstra Lab @HekstraLab]

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

[Shruti @heyshrutimishra]

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 elite.

[Shruti @heyshrutimishra]

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) 👇

[Wonder of Science @wonderofscience]

These two photographs are separated by only 66 years.

[Xu Zhou (周旭) @XuZhouLab]

Beyond troubling racial implications @MIT @NeurIPSConf, 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

[Bo Wang @BoWang87]

Most MIT profs who I know are extremely honest and morally upright. I hope this is an exception.

[梁Charlie @xjpssbgcdkt]

@sunjiao123sun_ @NeurIPSConf 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.

[Jiao Sun @sunjiao123sun_]

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

Can’t believe this happened at the best AI conference @NeurIPSConf

We have ethical reviews for authors, but missed it for invited speakers? 😡

[Xiaokun Shu @ShuLab2010]

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]