Gaurav Chattree

Instructor - Stanford Neurology Movement Disorders Division

[Gaurav Chattree @GChattree]

@ShreyaLouis @Stanford_Neuro Thank you Shreya!

[Gaurav Chattree @GChattree]

@tpatriarchi Thank you!

[Gaurav Chattree @GChattree]

Long-term, this could help move us toward cell-type-specific therapeutics for neurologic and psychiatric disease; from enriched receptor targets to cell-type-specific viral strategies.

I’m excited to apply this to parkinsonian and other neurodegenerative models. Stay tuned!

[Gaurav Chattree @GChattree]

Excited that our TRU-FACT preprint is now live!

TRU-FACT links what individual neurons do in vivo, with who they are molecularly, and who they connect to.

As a neurologist, I’m excited by its potential for understanding and treating circuit disorders.

https://t.co/zFSvbwzq2y

[Gaurav Chattree @GChattree]

By aligning large-scale neuronal activity with spatial molecular biology, we can ask which cell types are affeced in disease, what molecular programs become altered, and which targets might allow selective intervention.

[Xiqian Jiang @jxqjim]

Check our TRU-FACT videos!
Now you can reliably match hundreds to thousands of neurons from in vivo to ex vivo, and perform spatial transcriptomics on the exact same cells throughout its journey!
BioRxiv: https://t.co/XcnebwUHkb

[Xiqian Jiang @jxqjim]

You record beautiful in vivo data…
then spend weeks trying to find the same cells again in tissue.
It’s tedious, fragile, and often unreliable.

We built TRU-FACT to fix this — a scalable way to align cells from in vivo to ex vivo, linking activity with identity.

From tens to hundreds–thousands of cells, with minimal operator dependency.

Now on bioRxiv: https://t.co/fXISEU0LYV

[Yuxi Ke @Yuxi_Ke]

TRU-FACT is finally out on bioRxiv! Aligning in vivo imaging and spatial biology data at cellular resolution has long felt like a “wish list” capacity, so it’s exciting to see it come together. 🧠
https://t.co/BwRlwIQRTf

[Nicole Mercer Lindsay @7867Mercer]

Such an amazing technique developed by my friends @LunWangm, @Xiaochen_Sun_ , @GChattree, and others from the Schnitzer lab! I watched the struggle to optimize this over the years and am genuinely so impressed with the results.

[Xiaochen Sun @Xiaochen_Sun_]

Excited to share my co-first-authored work on registering in vivo Ca2+ imaging data to ex vivo transcriptomic and projection datasets, enabling the mapping of each cell’s functional coding to its genetic cell type: https://t.co/OfV3HCWOza.

[Fatih Dinc @fatihdin4en]

For decades, two revolutions in neuroscience ran in parallel:

- 🧠 In vivo imaging — watch neurons fire in living animals

- 🧬 Spatial transcriptomics — read cell's molecular identity

Meet TRU-FACT - a graph-based method that matches cells between these datasets at scale 🧵

[Kevin Sun @A_KwanSun]

Breakthrough in multimodal neuroscience from Mark Schnitzer's team! By bridging in vivo dynamics and molecular profiles, TRU-FACT sets a new bar for cellular resolution. Our TRANSVISTA SN100 was proud to facilitate the free-behavioral recordings in this study. Congrats to Lun!

[Gaurav Chattree @GChattree]

@adamimos @foresightinst Thats awesome man congrats

[Gaurav Chattree @GChattree]

@ASSFNeurosurg I’m having trouble with the link, do you have another way to register?

[Gaurav Chattree @GChattree]

@manorlaboratory This is horrible. I hope there is some way this can be reversed.

[Gaurav Chattree @GChattree]

@jjanetzko @CU_BMG @CUCardiology @CUDeptMedicine Great picture guys, congrats on everything!

[Gaurav Chattree @GChattree]

@VivekBuchMD @Stanford @ScienceMagazine Congratulations!

[Gaurav Chattree @GChattree]

@MichaelOkun @foltynie @DavidStandaert @nytimes @ginakolata @TheLancet So disappointing. But glad they ran such a rigorous trial.