Dena Goldblatt

@denagoldblatt.bsky.social

Postdoc at NINDS. Interests in spinal circuit assembly & function, neuro-evo-devo. 🐟—>🐭. Prev. Brandeis, NYU Neuro, DSPAN fellow

Bsky hivemind: what are we liking for Xenium cell type classifiers these days? Have tried RCTD, tangram, and label transfer. 50% of the dataset is easy to classify, but wildly different results across classifiers for the other 50%. +1 if anyone’s specifically fought with spinal cord data. Thx!

Neuronal circuits are assembled using a repertoire of different chemical and electrical synapses, with the latter connecting the cytoplasm between two neurons. Anne Martin asks how this complex process develops, finding proteins that bridge both synapse types. #2026SDB Preprint⤵️

Electrical synapse molecular diversity revealed by proximity-based proteomic discovery

Neuronal circuits are composed of synapses that are either chemical, where signals are transmitted via neurotransmitter release and reception, or electrical, where signals pass directly through intern...

biorxiv.org

Want to hear something freaky? If a deer gets a cut on its antlers while it's still in velvet, the next year when the deer grows a completely NEW rack, it will often grow an extra branch in the exact spot of the cut. Let's talk about TROPHIC MEMORY, the weird way cells (may) remember each other.

Majestic Deer with Huge Velvet Antlers

Alt: Majestic Deer with Huge Velvet Antlers. To be clear, this is probably a genetic event or even a breeding decision, but it illustrates the strange ways that antlers can grow. This poor buck, I'm assuming probably a white tailed deer, looks a bit overwhelmed to have a monstrous rack.

static.klipy.com

Mammals have hundreds of joints and muscles. Controlling them individually would be nearly impossible. How does the nervous system organize such complexity into coherent actions? Our new study explores this question through a natural behavior: jumping.

Check out the newest work from our, from Fabricio Nicola @fabricionicola.bsky.social on mouse jumping and spinal cell types. Excellent collab with @vulcnethologist.bsky.social www.biorxiv.org/content/10.6...

A spinal substrate for modular control of natural behavior

Natural behavior unfolds as coordinated sequences of body movements. This organization suggests that behavior may be built from discrete motor patterns, yet how such arrangements are implemented by neural circuits remains unknown. Here, we combined kinematic analysis, muscle recordings, genetically identified cell types, and closed-loop optogenetic perturbations to examine the organizational logic of natural gap-crossing jumps in mice. Jumping was characterized by a series of precisely defined phases and their associated modular motor patterns. The core phases, propulsion and flight, exhibited distinct signatures of neural control, including unique bursts of coordinated hindlimb muscle activity, differential tuning strategies for jump distance, and active requirements for spinal neural drive. Mapping activity across lumbar interneuron populations and functionally screening candidate cell types for their ability to drive coordinated movement revealed that a population of dorsal excitatory dILB6 neurons can autonomously evoke coordinated multi-joint hindlimb flexion characteristic of the jumping flight phase, across behavioral contexts. These findings provide a specific cellular substrate for the long-standing concept of spinal modular motor control: a flexible, preconfigured motor template that the mammalian CNS can recruit and modulate to meet the demands of natural behavior. ### Competing Interest Statement The authors have declared no competing interest. Intramural Research Program of the National Institutes of Health (NIH)

biorxiv.org

Fabricio Nicola@fabricionicola.bsky.social · 7mo ago

Mammals have hundreds of joints and muscles. Controlling them individually would be nearly impossible. How does the nervous system organize such complexity into coherent actions? Our new study explores this question through a natural behavior: jumping.