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Yeo, Y.

Publications and source records attributed to Yeo, Y..

3 recordsLinked to original sources

Egocentric spatial scaffolds organize cortical memory engrams

Episodic memory requires reconstructing the position of the self within a remembered environment, yet whether and how memory engrams incorporate self-referenced spatial information remains unknown. Using activity-dependent engram tagging, longitudinal calcium imaging and optogenetic perturbation in the retrosplenial cortex, we found that cortical memory engrams are enriched for egocentric and boundary-coding neurons that encode self-position relative to environmental boundaries. Longitudinal imaging revealed that future engram neurons are preferentially recruited from a pre-existing spatial scaffold rather than generated de novo during learning. During memory retrieval, scaffold populations underwent coordinated refinement and became transiently reorganized into a scaffold-engram network state whose dynamics tracked memory expression. Silencing scaffold neurons reduced memory expression while preserving recall dynamics, whereas engram silencing abolished recall dynamics while maintaining a stable low-memory state. Together, these findings identify a scaffold-engram architecture through which episodic memories are reconstructed by reinstating the self-referenced spatial representations within remembered space.

neuroscience↗

Identifying differential effects from eleven mixing techniques on mRNA lipid nanoparticle physicochemistry and biological performance

Lipid nanoparticle (LNP) formulation requires a mixing step. Many studies, especially from academic groups, utilize either microfluidic mixers or hand mixing to prepare LNPs, but commercial-scale processes use turbulent-flow mixers. This discrepancy in mixing techniques has been underexplored, as LNPs made by different techniques may exhibit different performance, such that bench-scale results cannot be replicated using materials manufactured at scale. We here isolate and interrogate the effect of primary mixing. Lipid nanoparticles are produced from ten mixers (one used in two ways), holding all other formulation parameters constant, to directly compare across techniques. LNPs produced from the different mixers exhibit widely different physical properties and biological performance. Notably, manual pipetting common in academic practice yields particles that do not resemble those produces by turbulent-flow mixers. Findings are connected mechanistically to physicochemical characteristics that arise from the different flow regimes. Further establishing the relationship between mixing and LNP properties is critical. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=132 SRC="FIGDIR/small/687311v1_ufig1.gif" ALT="Figure 1"> View larger version (33K): org.highwire.dtl.DTLVardef@79cac0org.highwire.dtl.DTLVardef@1ee037eorg.highwire.dtl.DTLVardef@12763eforg.highwire.dtl.DTLVardef@111e394_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioengineering↗

Egocentric vector coding of geometric vertex in the retrosplenial cortex

Neural representation of the environmental features in a self-centered, egocentric manner is important in constructing an egocentric cognitive map that is critical for goal-directed navigation and episodic memory formation1. To create a geometrically detailed egocentric cognitive map, neural representations of edges and vertices of environmental features are needed. While egocentric neural representations of edges, like egocentric boundary vector cells2-6 and border cells exist7, those of vertices are unknown. Here we report that single neurons in the granular retrosplenial cortex (RSC) generate spatial receptive fields exclusively near the vertices of environmental geometries during free exploration, which we termed vertex cells. Each spatial receptive field of vertex cells occurred at a specific orientation and distance relative to the animal, tuned by head direction, indicating an egocentric vector coding of the vertex. The removal of physical boundaries that define the environmental geometry abolished egocentric vector coding vertex cells. Moreover, goal-directed navigation selectively strengthened the egocentric vertex vector coding at the vertex near the goal location. Overall, our results suggest that egocentric vector coding of vertex by granular RSC neurons help to construct a geometrically detailed egocentric cognitive map that guides goal-directed navigation.

neuroscience↗