Tai Chaiamarit retweeted
Who knew amyloid (yes, as in Alzheimer's disease) makes deliveries of RNA to sperm for translation in the embryo?!
@MolecularCell
sciencedirect.com/science/ar…
How does the mitotic spindle adapt to genomes that differ in size by more than 10,000-fold? Our new paper in @NatureCellBio reveals a simple scaling law and the physics behind it: chromosome crowding! 🧵
nature.com/articles/s41556-0…
Tai Chaiamarit retweeted
An open model you can chat with about raw DNA sequences. 🤖 Great for access. But sequence is only half the story: biology happens in 3D, in whole bodies. Next wave of bio-AI must learn from where cells and molecules actually are.
huggingface.co/HuggingFaceBi…
Hugging face just released an AI model that lets you chat with DNA
it’s called carbon-x. it lets you paste raw DNA into a chat and ask questions about it in plain english
it’s 14.8 billion parameters, fully open source, apache 2.0, and it can run on a laptop. built on qwen3-14b with DNA tokens added to the vocabulary
the use case is real. researchers can ask whether a mutation might be linked to a disease, explore gene therapy options, or investigate small regions of a genome, all without writing a single line of code or having access to a big lab’s compute
regular chatbots like chatgpt and claude sometimes refuse to answer legitimate biology questions from researchers because they mistake them for bioweapon requests. carbon-x is built specifically for this, and viruses were deliberately excluded from its training data to avoid misuse
the accuracy on five DNA benchmarks is 66.7%, close to gpt-6.1 sol’s 67.5%. that’s a 14 billion parameter open model running on your laptop keeping pace with a frontier closed model on a specialised task
it hasn’t been validated in actual lab experiments yet, so predictions still need testing
but the idea that a researcher anywhere in the world can now paste DNA into a chat window and get a meaningful answer on their own laptop, without a subscription or a lab budget, is a genuinely different kind of story
Tai Chaiamarit retweeted
Glia derives from the greek word for glue, but they are so much than that.
In this video by our #ElectronMicroscopy team, shows a pyramidal neuron (PyC) surrounded by 8 glia brain cells – 5 microglia (MG) and 3 oligodendrocyte progenitor cells (OPC).
🔗 microns-explorer.org
Tai Chaiamarit retweeted
This video inspired an awe that has remained with me since my freshman year. A well deserved prize!
BREAKING NEWS
The 2026 #NobelPrize in Physiology or Medicine has been awarded to Karl Deisseroth, Peter Hegemann and Georg Nagel “for their discoveries concerning light-gated ion channels and optogenetics.”
Tai Chaiamarit retweeted
A human-induced pluripotent stem cell-derived spheroid model to investigate myelin injury and repair
nature.com/articles/s41593-0…
Tai Chaiamarit retweeted
Prion-like transmission of human tau strains in the mouse brain: nature.com/articles/s41586-0…
Tai Chaiamarit retweeted
Gan-Or traces the history of GBA1 research from the first description of Gaucher disease to current understanding of how GBA1 drives Parkinson’s disease risk, while examining emerging targeted therapies and future research directions. shorturl.at/JWpRQ
Tai Chaiamarit retweeted
Sexual dimorphism in the complete Drosophila male central nervous system connectome.
Learn more in Cell: cell.com/cell/fulltext/S0092…
Gregory S.X.E. Jefferis & colleagues
@cellcellpress
Tai Chaiamarit retweeted
New issue is out👉cell.com/cell/current
On the cover: the complete connectome of the male adult D. melanogaster central nervous system. The cover depicts a single representative cell from each of the 11,710 neuron types in the dataset, which contains 166,700 neurons in total.
Tai Chaiamarit retweeted
🌱 2025 was the 1st year of the Seeding Neuroscience Grants program. The response from emerging #neuroscience societies & thematic networks was incredibly positive!
📖 The 2026 call opens in 3 days. Find out more: ibro.org/grant/seeding-neuro…
@ElfarrashSara @Kavita_Babu_ @FZolessi
Tai Chaiamarit retweeted
Researchers used a technique that produced a detailed protein map of the human retina. Fluorescent antibodies highlight specific structures in this image captured with #microscopy from Leica Microsystems. Read more: fcld.ly/9bcm200
@BPoD_s @BiochemOxford
Tai Chaiamarit retweeted
This 'important' Tools and Resources paper establishes a robust live-imaging toolkit to characterize excitatory and inhibitory synaptic dynamics during neuronal development. The methodology and quantitative data are 'convincing' and well validated.
elifesciences.org/articles/1…
Tai Chaiamarit retweeted
How does white matter recover after #stroke?
A team shows how microglial A-2A receptor repairs white matter by stimulating #efferocytosis and oligondendrocyte differentiation—and can be targeted with micelles to promote recovery in mice. @FudanUniversity scim.ag/4gcv6le
Tai Chaiamarit retweeted
Video of myosin proteins "walking" along actin. Insane that we can image this!
It was made by Toshio Ando's group using atomic force microscopy. All of their papers are a goldmine; they've also recorded a Cas9 protein cutting DNA and ATP synthase spinning.
Tai Chaiamarit retweeted
Dendritic translation and neuroproteasome-mediated degradation of endogenous tau revealed by STARFISH: nature.com/articles/s41593-0…
Tai Chaiamarit retweeted
Our paper "Highly attenuated dendritic propagation of isolated synaptic potentials in vivo", demonstrating that individual synaptic potentials in vivo do not reach the soma, is published in Science Advances: science.org/doi/epdf/10.1126…
































