While altered cell metabolism is an emerging hallmark of cancer, there is a crucial need of new tools for quantitation of metabolites. Though NMR spectroscopy, mass spectrometry, and Raman spectroscopy are widely used for molecular detection in tissue extracts or intact tissues, these tools do not tell the spatial locations of the analytes inside the cell. We address this unmet need via development of multiplex stimulated Raman scattering (SRS) microscopy to enable quantitative vibrational imaging of metabolites in live tumor cells and intact biopsies. The recently developed SRS microscopy allows high-speed, high-sensitivity imaging of single Raman bands in live cells. However, the single-frequency SRS imaging technique has limited capability because it cannot resolve molecular species that often have overlapped Raman bands. We propose to overcome this technical barrier via parallel detection of spectrally dispersed SRS signals enabled by a homebuilt tuned amplifier array. In a pilot study, we demonstrated multiplex SRS imaging of live pancreatic cancer cells with a pixel dwell time of 40 ?s.
In Aim 1, we will develop multiplex stimulated Raman loss (SRL) microscopy and multivariate analysis algorithm to enable quantitative vibrational imaging of lipid metabolites in live cells.
In Aim 2, we will develop epi-detected multiplex SRL microscopy to enable high-speed, large-area spectroscopic imaging of tumor biopsies. By accomplishment of the two aims, we will generate a high- sensitivity, high-speed, spectral imaging platform for molecular analysis of live cells with sub-micron spatial resolution. This platform will permit label-free visualization of metabolic conversion in live cancr cells, which is not possible with proteomics tools. Such capability is critical for mechanistic understanding of cancer metabolism and precise evaluation of drugs targeting cancer metabolism. This platform will also permit large- area mapping of intact tumor biopsies and offer information about metabolic biomarkers (e.g. cholesteryl ester) that are indicative of cancer aggressiveness.

Public Health Relevance

Aberrant expressions of lipogenic genes have been found in brain, mammary, prostate and many other cancers. Nonetheless, lipid metabolism has not been used as a prognostic factor for cancer aggressiveness due to lack of differential detection and quantitation technology. Our spectroscopic imaging technology is able to fill this gap by quantifying the amount and composition of intracellular lipid droplets, an important aspect of lipogenesis in tumor cells.

National Institute of Health (NIH)
National Cancer Institute (NCI)
Exploratory/Developmental Grants (R21)
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Special Emphasis Panel (ZCA1)
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Knowlton, John R
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Purdue University
Engineering (All Types)
Biomed Engr/Col Engr/Engr Sta
West Lafayette
United States
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Li, Junjie; Condello, Salvatore; Thomes-Pepin, Jessica et al. (2017) Lipid Desaturation Is a Metabolic Marker and Therapeutic Target of Ovarian Cancer Stem Cells. Cell Stem Cell 20:303-314.e5
Zhang, Yinxin; Liao, Chien-Sheng; Hong, Weili et al. (2016) Coherent anti-Stokes Raman scattering imaging under ambient light. Opt Lett 41:3880-3
Yue, Shuhua; Cheng, Ji-Xin (2016) Deciphering single cell metabolism by coherent Raman scattering microscopy. Curr Opin Chem Biol 33:46-57
Li, J; Gu, D; Lee, S S-Y et al. (2016) Abrogating cholesterol esterification suppresses growth and metastasis of pancreatic cancer. Oncogene 35:6378-6388
Liao, Chien-Sheng; Cheng, Ji-Xin (2016) In Situ and In Vivo Molecular Analysis by Coherent Raman Scattering Microscopy. Annu Rev Anal Chem (Palo Alto Calif) 9:69-93
Zhang, Chi; Zhang, Delong; Cheng, Ji-Xin (2015) Coherent Raman Scattering Microscopy in Biology and Medicine. Annu Rev Biomed Eng 17:415-45
Liao, Chien-Sheng; Slipchenko, Mikhail N; Wang, Ping et al. (2015) Microsecond Scale Vibrational Spectroscopic Imaging by Multiplex Stimulated Raman Scattering Microscopy. Light Sci Appl 4:
Liao, Chien-Sheng; Choi, Joon Hee; Zhang, Delong et al. (2015) Denoising Stimulated Raman Spectroscopic Images by Total Variation Minimization. J Phys Chem C Nanomater Interfaces 119:19397-19403
Lee, Hyeon Jeong; Zhang, Wandi; Zhang, Delong et al. (2015) Assessing cholesterol storage in live cells and C. elegans by stimulated Raman scattering imaging of phenyl-Diyne cholesterol. Sci Rep 5:7930
Zhang, Delong; Wang, Ping; Slipchenko, Mikhail N et al. (2014) Fast vibrational imaging of single cells and tissues by stimulated Raman scattering microscopy. Acc Chem Res 47:2282-90

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