Research
Research
Raman-Based Cell Sorting
A Raman-based cell sorting platform offers a direct and efficient method for isolating individual cells based on their functional properties. These properties encompass cell metabolisms (e.g., metabolic activities and functional roles within their complex communities or habitats) and their interactions with other cells (e.g., hosts, prey, predators) and environments (e.g., human intestine, seawater, freshwater, soil, air). Our research aims to establish a direct link between cell functions and their genomes. To achieve this, individual cells are sorted using our platform, followed by downstream -omics analysis of the sorted cells.
Relevant papers
K.S. Lee et al., MicrobioRaman: An open-access web repository for microbiological Raman spectroscopy data. Nature Microbiology 9, 1152-1156 (2024).
A. Riva, ..., K.S. Lee et al., Identification of inulin-responsive bacteria in the gut microbiota via multi-modal activity-based sorting. Nature Communications 14, 8210 (2023).
K.S. Lee et al., Raman microspectroscopy for microbiology. Nature Reviews Methods Primers 1, 80 (2021).
K.S. Lee et al., Optofluidic Raman-activated cell sorting for targeted genome retrieval or cultivation of microbial cells with specific functions. Nature Protocols 16, 634–676 (2021).
F.C. Pereira, ..., K.S. Lee et al., Rational design of a microbial consortium of mucosal sugar utilizers reduces Clostridiodes difficile colonization. Nature Communications 11, 5104 (2020).
K.S. Lee et al., An automated Raman-based platform for the sorting of live cells by functional properties. Nature Microbiology 4, 1035-1048 (2019).
Detection of Pathogens Using Raman Nanoprobes
Functional nanoprobes are utilized to detect and identify target microorganisms, such as pathogenic bacteria and viruses. Our research aims to synthesize nanoprobes that generate Raman signals for the detection of these target microorganisms. The narrow bandwidth of the Raman signals (on the order of a few nanometers) is beneficial for multiplexing, allowing for the simultaneous detection of diverse types of target microorganisms. This approach is applicable to public health, enabling the early detection and warning of pathogenic microbes that cause infectious diseases in highly populated urban areas or hospitals.
Relevant papers
J.S. Kang†, K.S. Lee† et al., Real-time detection of an airborne microorganism using inertial impaction and mini-fluorescent microscopy. Lab on a Chip 14, 244-251 (2014).
J.S. Kang†, K.S. Lee† et al., Characterization of a microscale cascade impactor. Aerosol Science and Technology 46, 966-972 (2012).
Reconfigurable Optofluidic Cell Sorting
Optofluidics technologies provide an efficient means to integrate fluidic and optical components into a single system. We aim to use this optofluidic platform to sort cells based on their refractive index, an important physical property that determines the physiological states of microorganisms. For the sorting process, we employ optical force - a piconewton (pN)-order force arising from the interaction between a laser and the cell. Depending on the refractive index contrast between the working fluid and the suspended cells, the direction of the optical force varies, enabling the binary sorting of cells into high-refractive-index and low-refractive-index categories.
Relevant papers
K.S. Lee et al., Dynamic manipulation of particles via transformative optofluidic waveguides. Scientific Reports 5, 15170 (2015).
K.S. Lee et al., Refractive-index-based optofluidic particle manipulation. Applied Physics Letters 103, 073701 (2013).
K.S. Lee et al., Optofluidic particle manipulation in a liquid-core/liquid-cladding waveguide. Optics Express 20, 17349-17359 (2012).
K.S. Lee et al., Radiation forces on a microsphere in an arbitrary refractive index profile. Journal of the Optical Society of America B 29, 407-414 (2012).
Phenotyping Microorganisms
Phenotyping refers to the investigation of observable traits or characteristics of microorganisms, which result from the interaction of their genetic makeup (genotype) with other microorganisms and the environment. Our research aims to utilize state-of-the-art technologies, such as Raman microspectroscopy, fluorescence microscopy, and pulse-amplitude modulated chlorophyll fluorometry microscopy, for the precise measurement of cell phenotypes at the single-cell level. These phenotypes include the degradation of specific chemical compounds by bacteria (i.e., cell catabolism) and the photosynthetic efficiency of microalgae (i.e., photo-physiology). These measurements are applied in fields such as energy harvesting and food resources - bioproduction.
Relevant papers
A.K.M. Stubbusch*, F.J. Peaudecerf, K.S. Lee et al., Antagonism as a foraging strategy in microbial communities. bioRxiv
Y.-W. Lien, D. Amendola, K.S. Lee et al., Mechanism of bacterial predation via ixotrophy. Science 386, eadp0614 (2024).
U. Alcolombri, ..., K.S. Lee et al., Sinking enhances the degradation of organic particles by marine bacteria. Nature Geoscience 14, 775–780 (2021).
C. Gao, ..., K.S. Lee et al., Single-cell bacterial transcription measurements reveal the importance of dimethylsulfoniopropionate (DMSP) hotspots in ocean sulfur cycling. Nature Communications 11, 1942 (2020).
L. Behrendt, ..., K.S. Lee et al., PhenoChip: A single-cell phenomic platform for high-throughput photophysiological analyses of microalgae. Science Advances 6, eabb2754 (2020).