Abstract: Fluorescence is the most popular optical contrast for studying live cells. However, fluorescence imaging faces fundamental limitations for probing a vast number of small bio-molecules such as metabolites (e.g., ATP), second messengers, neurotransmitters and drugs. Most of these molecules are intrinsically non-fluorescent. Moreover, labeling them is not feasible, because their biochemical activities would be strongly altered by bulky probes. Thus, how to image these species inside live cells represents a grand challenge. Novel imaging techniques that accomplish this goal would undoubtedly open up new avenues, transforming our ability to monitor biochemistry in living systems in real time. We propose to solve this problem using an emerging multi-photon optical imaging method: stimulated radiation microscopy. By harnessing the power of stimulated Raman scattering (SRS), which serves as a quantum mechanical mechanism for light amplification, chemical contrast from the vibrating chemical bonds in the sample can be generated with high resolution in 3D without adding any external labels. While SRS microscopy is transforming label-free chemical imaging, the technique is still in its infancy. Particularly, both the detection sensitivity and specificity, th key performance criteria, are not high enough for SRS to be truly revolutionary. Many interesting molecules are still beyond detection. We propose to bring the technique to the stage where it can be widely applied to most small bio-molecules. Our plans are: (1) to couple SRS excitation with photo-thermal dark field imaging, a background-free detection scheme estimated to be ~100 times more sensitive;and (2) to use a broadband wavelength multiplex approach to significantly enhance the detection specificity, which should be able to distinguish more closely related chemical species. We are applying stimulated radiation to tackle two compelling problems in lipid biology and neurobiology: (1) Genetic screening for fat-regulating genes by chemical imaging. In order to identify new genes regulating fat metabolism, we will combine SRS lipid imaging with RNA interference screening. We have recently demonstrated such a novel combination of imaging and genetics with C. elegans. The proposed sensitivity boost would expand the screening to the genome scale, and the specificity enhancement should allow us to probe unsaturated lipid and cholesterol. (2) Optical monitoring of membrane potentials. Despite of many efforts, there is no satisfactory optical method to monitor voltage signal in neurons. The intense electric field across the plasma membranes during action potentials should shift the vibrational frequency of membrane lipids, and we plan to employ this vibrational electrochromism as a label-free contrast mechanism for voltage imaging. The proposed technical innovation has the potential to greatly advance light microscopy, lipid biology, genetic screening and neuroscience, and the applications will take bio-imaging into new areas of biomedicine that have been previously uncharted. Public Health Relevance: The unprecedented ability to visualize small molecules such as metabolites and drugs in living cells and organisms without any labels will revolutionize many areas of biomedical research, particularly lipid biology, pharmacokinetics and cancer diagnosis. The proposed genetic screening research would discover genes that regulate fat metabolism and distribution on the multicellular organism models. These newly identified genes could become potential drug targets for combating obesity and related metabolic disorders.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
NIH Director’s New Innovator Awards (DP2)
Project #
1DP2EB016573-01
Application #
8352315
Study Section
Special Emphasis Panel (ZGM1-NDIA-C (01))
Program Officer
Conroy, Richard
Project Start
2012-09-30
Project End
2017-08-31
Budget Start
2012-09-30
Budget End
2017-08-31
Support Year
1
Fiscal Year
2012
Total Cost
$2,400,000
Indirect Cost
$900,000
Name
Columbia University (N.Y.)
Department
Chemistry
Type
Other Domestic Higher Education
DUNS #
049179401
City
New York
State
NY
Country
United States
Zip Code
10027
Zeng, Chen; Hu, Fanghao; Long, Rong et al. (2018) A ratiometric Raman probe for live-cell imaging of hydrogen sulfide in mitochondria by stimulated Raman scattering. Analyst 143:4844-4848
Shi, Lingyan; Zheng, Chaogu; Shen, Yihui et al. (2018) Optical imaging of metabolic dynamics in animals. Nat Commun 9:2995
Wei, Lu; Min, Wei (2018) Electronic Preresonance Stimulated Raman Scattering Microscopy. J Phys Chem Lett 9:4294-4301
Hu, Fanghao; Zeng, Chen; Long, Rong et al. (2018) Supermultiplexed optical imaging and barcoding with engineered polyynes. Nat Methods 15:194-200
Long, Rong; Zhang, Luyuan; Shi, Lingyan et al. (2018) Two-color vibrational imaging of glucose metabolism using stimulated Raman scattering. Chem Commun (Camb) 54:152-155
Cheng, Qian; Wei, Lu; Liu, Zhe et al. (2018) Operando and three-dimensional visualization of anion depletion and lithium growth by stimulated Raman scattering microscopy. Nat Commun 9:2942
Shen, Yihui; Zhao, Zhilun; Zhang, Luyuan et al. (2017) Metabolic activity induces membrane phase separation in endoplasmic reticulum. Proc Natl Acad Sci U S A 114:13394-13399
Zhang, Luyuan; Min, Wei (2017) Bioorthogonal chemical imaging of metabolic changes during epithelial-mesenchymal transition of cancer cells by stimulated Raman scattering microscopy. J Biomed Opt 22:1-7
Wei, Lu; Chen, Zhixing; Shi, Lixue et al. (2017) Super-multiplex vibrational imaging. Nature 544:465-470
Zhao, Zhilun; Shen, Yihui; Hu, Fanghao et al. (2017) Applications of vibrational tags in biological imaging by Raman microscopy. Analyst 142:4018-4029

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