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Patricia Nano

@prnano9.bsky.social
121 followers 120 following 25 posts

Postdoc @bhadurilab.bsky.social Human brain development + single-cell omics

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Patricia Nano @prnano9.bsky.social · 13/08/2026
If you’re interested in building a research team together, check us out at: nanolab-rice.github.io
nanolab-rice.github.io
Nano Lab @ Rice University
The Nano Lab at Rice University uses single-cell functional genomics and human cortical organoids to study how the developing human brain is patterned into cortical areas, and how those trajectories a...
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Patricia Nano @prnano9.bsky.social · 13/08/2026
This new adventure wouldn't have been possible without all my mentors, labmates, and collaborators; thanks everyone for your support! I’m excited to pay it forward to the next generation of trainees.
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Patricia Nano @prnano9.bsky.social · 13/08/2026
The Nano Lab is opening in the Dept. of BioSciences, Rice University, Oct 2026! 🧠🦉 We’ll be profiling and perturbing the molecular cues that shape the human brain using single-cell functional genomics and cortical organoids.
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Patricia Nano @prnano9.bsky.social · 15/05/2026
Huge thanks to Aparna + @BhaduriLab (esp Dan Jaklic, @Jalbsoto, @MilJessenya, Antoni Martija) & Brittney Wick + Maximilian Haeussler for hosting our perturb-seq data on UCSC Cell Browser! Excited to see how these can untangle more of the pathways shaping the human cortex 🧠(7/7).
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Patricia Nano @prnano9.bsky.social · 15/05/2026
Across our perturbational datasets, we id’d PFC TF cohorts that work w/ YBX1 to shape the human PFC. We hypothesize that these overlapping regulatory relationships confer robustness on PFC fate specification while preserving sensitivity to extrinsic cues like retinoic acid (6/7).
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Patricia Nano @prnano9.bsky.social · 15/05/2026
By knocking down YBX1 in organoids, we find that YBX1 is essential for PFC fate in a cell type specific manner – regulating transcription AND chromatin accessibility of PFC signatures in radial glia, while having a predominantly transcriptional role in deep layer neurons (5/7).
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Patricia Nano @prnano9.bsky.social · 15/05/2026
Follow-up experiments need a more accessible platform than human primary cortical tissues. So we benchmarked how PFC TFs operate in human cortical organoids. We id’d the PFC TF-to-Signature relationships that organoids can model – and those include the effects of YBX1 (4/7).
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Patricia Nano @prnano9.bsky.social · 15/05/2026
To find what controls these dynamic PFC signatures, we screened 35 PFC-enriched TFs in primary cultures from the developing human cortex. One standout: YBX1, a TF known to regulate neurogenesis, whose expression shows the strongest correlation with PFC signature activity (3/7).
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Patricia Nano @prnano9.bsky.social · 15/05/2026
Bulk & scRNA-seq has id’d 1000s of PFC marker genes, each enriched in the PFC in different cell types & time points. With our meta-module approach, we organized these markers into 18 spatiotemporally dynamic PFC signatures – tractable, molecular readouts of PFC patterning (2/7).
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Patricia Nano @prnano9.bsky.social · 15/05/2026
Live on bioRxiv🎉🧬🧠! We @BhaduriLab use perturb-seq in human cortical tissues to make sense of the shifting molecular trajectories that form the human prefrontal cortex. (1/7) www.biorxiv.org/content/10.6...
biorxiv.org
Intrinsic coordination of dynamic molecular signatures shape the human prefrontal cortex
The cerebral cortex drives human cognition through the coordinated activity of discrete cortical areas, each harboring specialized molecular, structural and functional characteristics. Central to this organization is the prefrontal cortex (PFC), a hub for executive function that displays disproportionate expansion in humans and selective vulnerability to neurodevelopmental disorders. Previous work has identified a collection of PFC-enriched marker genes with dynamic expression trajectories, and re-analysis of these datasets converge these markers into 18 distinct molecular signatures of spatiotemporal PFC identity. However, the intrinsic gene networks that coordinate these molecular signatures to shape the human PFC remains unclear. Through pooled CRISPR activation screens in human primary cortical tissues, we have evaluated the ability of PFC-enriched transcription factors to intrinsically pattern PFC molecular identity. Our screens identify novel roles for the neurogenesis regulator, YBX1, in the activation of human PFC fate. In parallel screens and knock-down experiments in human cortical organoids, we define how YBX1 acts in concert with other PFC determinants to activate molecular signatures of PFC identity. Our findings support a model in which PFC patterning is orchestrated by cohorts of intrinsic determinants that initiate, potentiate, and modulate PFC gene signatures, conferring robustness to the development of the human PFC. ### Competing Interest Statement The authors have declared no competing interest. NIH, R00NS111731, R01MH132689, UM1MH130991, RF1MH132662, U24HG002371 Brain & Behavior Research Foundation, https://ror.org/03a63f080, Young Investigator Award Alfred P. Sloan Foundation, https://ror.org/052csg198, Sloan Fellowship Rose Hills Foundation, Innovation Award Esther A. & Joseph Klingenstein Fund, Klingenstein-Simons Fellowship Simons Foundation, https://ror.org/01cmst727, Klingenstein-Simons Fellowship Ablon Trust, Ablon Scholar Award Department of Biological Chemistry, UCLA Zamenhof Scholarship UCLA Eli and Edythe Broad Center of Regenerative Medicine, Innovation Award, Stem Cell Research Training Program University of California, Los Angeles, https://ror.org/046rm7j60, Eugene V. Cota-Robles Award California Institute for Regenerative Medicine, https://ror.org/033m8b439, DISC0-14514, DISC4-16337 National Science Foundation, Graduate Research Fellowship Program
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Reposted by Patricia Nano
bhadurilab.bsky.social @bhadurilab.bsky.social · 24/06/2025
🧵Excited to share our new preprint introducing iHOTT - an autologous tumor-immune co-culture model that captures patient-specific responses in #Glioblastoma 💥Now on @biorxivpreprint : biorxiv.org/content/10.1... Led by Dr. Shivani Baisiwala, Neurosurgery Resident in the lab
biorxiv.org
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Patricia Nano @prnano9.bsky.social · 02/06/2025
Honored to join this amazing community 🎉
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Reposted by Patricia Nano
bhadurilab.bsky.social @bhadurilab.bsky.social · 06/05/2025
Excited to present our new preprint led by @claudianguyen95 uncovering how thalamic input shapes human cortical development! We discover that thalamic axons promote the generation of upper layer cortical neurons through NRXN1-mediated contacts with outer radial glia. www.biorxiv.org/content/10.1...
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Patricia Nano @prnano9.bsky.social · 02/05/2025
Very grateful to my mentor Aparna @bhadurilab.bsky.social , co-authors @elisafazzari @claudianguyen95 @RyanKan20 @yoojuyoun.bsky.social @amartija.bsky.social Daria Azizad, Brittney Wick and Maximilian Haeussler!
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Patricia Nano @prnano9.bsky.social · 02/05/2025
We’re excited to see how our tools can continue to reveal cell fate mechanisms from molecular maps of the human brain. 🧠🗺️✨ And to open this approach to other biological problems, we’ve put our scripts to make your own meta-atlas and modules at github.com/BhaduriLab/d.... (13/13)
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Patricia Nano @prnano9.bsky.social · 02/05/2025
Even a subtle KD of these transcription factors produced a modest decrease in module 20 that cascaded into substantial composition differences. (12/13)
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Patricia Nano @prnano9.bsky.social · 02/05/2025
With chimeroids, we knocked down FEZF2 & TSZH3 across multiple genetic backgrounds. Consistently, both FEZF2 & TSHZ3 were required to make deep layer neurons – w/ FEZF2 acting at the level of gene expression and TSHZ3 acting at the chromatin level. (11/13)
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Patricia Nano @prnano9.bsky.social · 02/05/2025
Interestingly, TSZH3 and the rest of module 20 was less specific to FEZF2 subtype neurons in the developing and adult mouse brain. So we tested our model in human stem cell derived cortical chimeroid models developed by @bolanosanton.bsky.social and @irenefaravelli.bsky.social @ArlottaLab. (10/13)
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Patricia Nano @prnano9.bsky.social · 02/05/2025
We validated that at GW16, FEZF2 and TSHZ3 co-express in deep layers of the human cortex, and by GW20, levels of FEZF2 decrease while TSHZ3 expression stays on in these deep layers. (9/13)
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Patricia Nano @prnano9.bsky.social · 02/05/2025
However, FEZF2 expression peaks before module 20 activation during development, and half of module 20 genes are candidate targets of FEZF2 (thanks to data from @LodatoS_Lab @ArlottaLab). This included one transcription factor, TSHZ3, linked to autism spectrum disorders. (8/13)
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Patricia Nano @prnano9.bsky.social · 02/05/2025
Most notable is module 20, which we determined drives the specification of deep layer neuronal subtypes found in the adult. Module 20 is enriched in human adult FEZF2 subtypes – but it doesn’t actually contain FEZF2. (7/13)
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Patricia Nano @prnano9.bsky.social · 02/05/2025
We found modules that may explain how neuronal/glial fates are initiated and refined into cell types found in the adult human cortex, with the spatiotemporal expression patterns predicted for some of these modules validating in primary tissue. (6/13)
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Patricia Nano @prnano9.bsky.social · 02/05/2025
We first annotated these modules for their cell type/biological function, then scored how each of these modules act in other datasets – ie the adult human brain, the developing mouse, and the adult mouse. @alleninstitute.bsky.social @danielajdibella.bsky.social (5/13)
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Patricia Nano @prnano9.bsky.social · 02/05/2025
We used these atlases to find gene networks that shape cell types. Step 1: Define networks w/in each indiv’d in our dataset w/ hierarchical clustering. Step 2: Correlation analysis btwn indiv’d to id which networks co-expressed across the entire meta-atlas – these are our meta-modules. (4/13)
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Patricia Nano @prnano9.bsky.social · 02/05/2025
So we merged recently published datasets into two meta-atlases: one for the developing human cortex (7 datasets, 0.6M cells) & one for the adult human cortex (16 datasets, 2.6M cells) – both on the UCSC Cell Browser now: dev-ctx-meta-atlas.cells.ucsc.edu adult-ctx-meta-atlas.cells.ucsc.edu (3/13)
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Patricia Nano @prnano9.bsky.social · 02/05/2025
Plenty of work has cataloged the cell types found in both the developing and adult human brain. But it’s hard to generate an atlas with enough scope and depth to clarify how the cell types present in development turn into those found in adulthood (2/13).
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Patricia Nano @prnano9.bsky.social · 02/05/2025
It’s out! The first paper from my postdoc – and first from the @bhadurilab.bsky.social – is now live @natneuro.nature.com . 🧠✨ Using a new meta-atlas generation strategy, we identified functional gene networks that more fully explain how cell types are formed in the human cortex. (1/13)
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