Christina K. Kim

This paper designs a new proximity labeling enzyme, FlexID, using computational methods to improve spatial precision and versatility for mapping protein interactions and proteomes.

The paper develops membrane-targeted TurboID variants for in vivo proteomics in neuronal circuits, identifying subcellular proteins and their changes during acute drug exposure.

This study identifies distinct neuronal ensembles in dorsal CA1 that are differentially active during associative fear memory acquisition and reveals which ensembles form the core engram.

This study identifies D3R-expressing neurons in the NAc as mediators of quetiapine's aversive effects, showing that chronic treatment reduces this aversion.

This paper introduces two multiplexed miniature two-photon microscopes (M-MINI2Ps) that enable high-speed neural imaging in freely moving mice with improved frame rates and spatial resolution.

This paper introduces CaST, a method to biochemically tag cells with elevated Ca2+ in vivo, and demonstrates its use in tagging prefrontal cortex neurons activated by psilocybin in mice.

This paper introduces LOV-Turbo, a light-regulated proximity labeling tool that enhances spatial and temporal control of proteomic mapping in living cells.

The paper introduces FLiCRE, a molecular tool for tagging calcium-activated cells, and uses it to identify and manipulate a striatal cell-type involved in aversion behavior.

The paper introduces SWIFT, a computational imaging method for capturing coordinated neuronal activity across large tissue volumes in mammals at high speed and resolution.