Biology subjects

Yong, H. C.

Publications and source records attributed to Yong, H. C..

4 recordsLinked to original sources

bioRxiv2024

2P-NucTag: on-demand phototagging for molecular analysis of functionally identified cortical neurons

Neural circuits are characterized by genetically and functionally diverse cell types. A mechanistic understanding of circuit function is predicated on linking the genetic and physiological properties of individual neurons. However, it remains highly challenging to map the molecular properties onto functionally heterogeneous neuronal subtypes in mammalian cortical circuits in vivo. Here, we introduce a high-throughput two-photon nuclear phototagging (2P-NucTag) approach for on-demand and indelible labeling of single neurons via a photoactivatable red fluorescent protein following in vivo functional characterization in behaving mice. Using this novel function-forward pipeline to selectively label and transcriptionally profile previously inaccessible place and silent cells in the hippocampus of behaving mice, we identify unexpected differences in gene expression between these hippocampal pyramidal neurons with distinct spatial coding properties. Thus, 2P-NucTag opens a new way to uncover the molecular principles that govern the functional organization of neural circuits. One-Sentence Summary2P-NucTag - A novel high-throughput on-demand phototagging approach to identify selective gene expression of functionally distinct neurons in vivo in behaving animals.

neuroscience↗

bioRxiv2023

behaviorMate: An Intranet of Things Approach for Adaptable Control of Behavioral and Navigation-Based Experiments

1Investigators conducting behavioral experiments often need precise control over the timing of the delivery of stimuli to subjects and to collect the precise times of the subsequent behavioral responses. Furthermore, investigators want fine-tuned control over how various multi-modal cues are presented. behaviorMate takes an "Intranet of Things" approach, using a networked system of hardware and software components for achieving these goals. The system outputs a file with integrated timestamp-event pairs that investigators can then format and process using their own analysis pipelines. We present an overview of the electronic components and GUI application that make up behaviorMate as well as mechanical designs for compatible experimental rigs to provide the reader with the ability to set up their own system. A wide variety of paradigms are supported, including goal-oriented learning, random foraging, and context switching. We demonstrate behaviorMates utility and reliability with a range of use cases from several published studies and benchmark tests. Finally, we present experimental validation demonstrating different modalities of hippocampal place field studies. Both treadmill with burlap belt and virtual reality with running wheel paradigms were performed to confirm the efficacy and flexibility of the approach. Previous solutions rely on proprietary systems that may have large upfront costs or present frameworks that require customized software to be developed. behaviorMate uses open-source software and a flexible configuration system to mitigate both concerns. behaviorMate has a proven record for head-fixed imaging experiments and could be easily adopted for task control in a variety of experimental situations.

neuroscience↗

bioRxiv2022

Spatial memory consolidation during REM sleep requires stabilization of newly formed place cells.

The involvement of rapid-eye-movement sleep (REMs) in spatial memory formation was recently demonstrated, although how neural activity during REMs influences newly-formed place field stability remains unclear. Here, we combined large-scale single-unit recordings of mouse hippocampal CA1 with an established optogenetic approach enabling REMs-selective inhibition of medial septum GABAergic neurons (MSGABA), resulting in spatial memory deficits when applied post-learning. Although individual neural activity was unaffected by REMs-selective MSGABA inhibition during a post-learning rest session, both the synchrony of population-level activity bursts observed during REMs occurring in the rest session and place field stability measured during subsequent memory recall testing were reduced vs controls. However, the latter effect was limited to place cells participating in population activity during REMs, as stability of non-participant place cells was relatively weak and indifferent between groups. This suggests that synchronous CA1 population activity during REMs stabilizes spatial representations in a plastic subpopulation of participating CA1 neurons.

neuroscience↗

bioRxiv2022

Optogenetic reduction of theta oscillations reveals that a single reliable time cell sequence is not required for working memory

In a delayed alternation spatial working memory task, hippocampal time cells fire during specific moments of the delay period to form a stable, sequential representation of the entire delay interval. The causal relationship between these sequences and working memory remains unclear. Similarly, hippocampal theta oscillations are thought to support working memory, primarily through the generation of time cell sequences. To causally examine these relationships, we optogenetically silenced the medial septal GABAergic theta-generating circuit during the delay portion of a delayed spatial alternation task. Without hippocampal theta oscillations, many time cells exhibited remapping, new time cells were recruited, and time cell information was increased; collectively resulting in a new time cell sequence during the delay period. Despite this remapping of time cells on random selection of theta-reduced trials, behavioral performance was unimpaired, demonstrating that working memory is not dependent on a single or unique time cell sequence during the delay period.

neuroscience↗