RESEARCH
Experimental Approaches
At the Sun Lab, we employ a diverse range of experimental techniques tailored to address specific scientific inquiries. Our methodologies encompass various modalities, each selected based on the nature of the research question at hand. Below are the key approaches we utilize:
Mouse Genetic Models
We leverage mouse models harboring genetic mutations associated with neurological and psychiatric disorders in humans. Through targeted genetic modifications, we investigate disease mechanisms and potential therapeutic interventions.
Cell-Specific Genetic Targeting
Using advanced genetic techniques, we create mouse models targeting specific cell types and marker genes, enabling precise manipulation and observation of cellular processes.
Surgery and Viral Injections
Employing rigorous surgical procedures and viral vector injections, we modulate neural circuits and gene expression patterns to elucidate their roles in behavior and disease progression.
< click images to enlarge
Behavioral Studies with In Vivo Electrophysiology
Our research integrates behavioral paradigms with in vivo electrophysiological recordings in awake behaving animals. This approach, exemplified by licking behavior experiments, allows real-time assessment of neural activity and behavior correlations.
Computational Modeling
We employ computational models, including neuron simulations and Brian2 frameworks, to explore complex neural dynamics and predict experimental outcomes.
In Vitro Brain Slice and CRACM
Our lab conducts in vitro brain slice experiments combined with Channel Rhodopsin Assisted Circuit Mapping (CRACM) to dissect neural circuitry with cellular precision, shedding light on synaptic connectivity and function.
Optogenetics
Leveraging optogenetic tools, we modulate neural activity with precision, enabling silencing, activation, and tagging of specific neuronal populations to dissect circuit functions.
Population Decoding
Through population decoding techniques, we decode neural signals to infer cognitive states and behavioral patterns.
Genetic Labeling of Activated Neurons
Utilizing TRAP2 technology, we label and isolate activated neurons to unravel neural circuitry underlying complex behaviors.
Histology and Imaging
We employ histological techniques, immunohistochemistry, and confocal imaging to visualize cellular structures and molecular markers in tissue samples.
In Vivo Imaging
Our lab utilizes multi-photon imaging and fiber photometry to capture real-time calcium activities in vivo, enabling high-resolution imaging of neural dynamics.
Single-Cell RNA Sequencing
Leveraging platforms like 10x Genomics, we perform single-cell RNA sequencing to dissect cellular heterogeneity and gene expression profiles within neural populations.
Spatial Transcriptomics
Through techniques like Merfish and Visium, we map gene expression patterns in spatial context, uncovering spatial organization within brain tissues.
Data Science Approaches
We employ advanced data science methodologies to analyze single-cell and spatial transcriptomic data alongside electrophysiological recordings, facilitating integrative understanding of neural circuits and gene expression dynamics.
Machine Learning and AI Tools for Behavioral Neuroscience
We utilize machine learning and AI tools such as DeepLabCut and MoSeq for behavior annotation and analysis. These programs enable automated and accurate tracking of behavior patterns, facilitating comprehensive understanding of behavioral dynamics and neural correlates.
At the Sun Lab, our interdisciplinary approach enables comprehensive exploration of neural function, disease mechanisms, and therapeutic targets. Through collaboration and innovation, we strive to advance our understanding of the brain and address critical questions in neuroscience.
