Lin Z. Li

faculty photo
Research Associate Professor of Radiology
Member, The Institute of Translational Medicine and Therapeutics of the University of Pennsylvania
Member, Radiation Biology and Imaging Research Program, Abramson Cancer Center at the University of Pennsylvania
Member, The Institute of Regenerative Medicine of the University of Pennsylvania
Principle Investigator, Britton Chance Laboratory of Redox Imaging, Johnson Research Foundation, Department of Biochemistry and Biophysics, University of Pennsylvania
Department: Radiology

Contact information
B6 Blockley Hall, 423 Guardian Drive
Philadelphia, PA 19104
Office: 215-898-1805
Fax: 215-573-2113
Lab: 215-573-7608
BS (Physics)
Peking University, 1991.
MS (Physics)
Northeastern University, Boston, 1994.
PhD (Biochemistry and Molecular Biophysics)
University of Pennsylvania, 2000.
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Description of Research Expertise

NMR and optical imaging of cancer models

Description of Itmat Expertise

Dr. Li is primarily interested in cancer imaging and molecular imaging. Representative projects include identifying redox imaging indices for tumor metastatic potential in animal models and patients, and understanding how redox potential affects tumor progression to metastasis.

Selected Publications

*Lin Z. Li, *Rong Zhou, He N. Xu, Lily Moon, Tuoxiu Zhong, Eun Ju Kim, Hui Qiao, Dennis Leeper, Britton Chance, Jerry D. Glickson (*Equal contribution): Quantitative magnetic resonance and optical imaging biomarkers of melanoma metastatic potential. PNAS 106(16): 6608-6613, 2009.

Lin Z.J. Li, Rong Zhou, Tuoxiu Zhong, Lily Moon, Eun Ju. Kim, Hui Qiao, M. J. Hendrix, Britton Chance, Jerry D. Glickson: Predicting melanoma metastatic potential by optical and magnetic resonance imaging. Advances in Experimental Medicine and Biology 599: 67-78, 2007 Notes: with a limited peer review.

He N. Xu, Shoko Nioka, Jerry D. Glickson, Britton Chance, Lin Z. Li: Quantitative mitochondrial redox imaging of breast cancer metastatic potential. Journal of Biomedical Optics 15(3): 036010(1-10), 2010.

He N. Xu, Julia Tchou, Min Feng, Huaqing Zhao, Lin Z. Li. : Optical redox imaging indices discriminate human breast cancer from normal tissues. Journal of Biomedical Optics 21(11): 114003-1-8, 2016.

Sun, N., Xu, H.N., Luo, Q., Li, L.Z.: Potential indexing of the invasiveness of breast cancer cells by mitochondrial redox ratios. Adv Exp Med Biol 923: 121-127, 2016.

He N. Xu, Julia Tchou, Lin Z. Li: Redox imaging of human breast cancer core biopsies: a preliminary investigation. Academic Radiology 20(4): 764-768, 2013.

He N. Xu, Gang Zheng, Julia Tchou, Shoko Nioka, Lin Z. Li: Characterizing the metabolic heterogeneity in human breast cancer xenografts by 3D high resolution fluorescence imaging. SpringerPlus 2(1): 73 (1-9), 2013.

He N. Xu, Shoko Nioka, Lin Z. Li: Imaging heterogeneity in the mitochondrial redox state of premalignant pancreas in the pancreas-specific PTEN-null transgenic mouse model. Biomarker Research 1(1): 6(1-11), 2013.

Lin Z. Li: Imaging mitochondrial redox potential and its possible link to tumor metastatic potential. J Bioenerg Biomembr 44(6): 645-653, 2012 Notes: invited review.

Lily Moon, David W. Frederick, Joseph A. Baur, and Lin Z. Li: Imaging redox state in mouse muscles of different ages. Adv Exp Med Biol 977: 51-57, 2017.

Lin Z. Li, Nannan Sun: Autofluorescence perspective of cancer diagnostics. Natural Biomarkers for Cellular Metabolism: Biology, Techniques, and Applications. Vladimir Ghukasyan, Ahmed A. Heikal (eds.). CRC Press, Page: 273-297, 2014 Notes: invited paper.

Xiaohong Ma, Shengfu Piao, Dan Wang, Quentin Mcafee, Katherine L. Nathanson, Julian J. Lum, *Lin Z. Li, *Ravi Amaravadi (*Equal contribution) : Measurements of tumor cell autophagy predict invasiveness, resistance to chemotherapy, and survival in melanoma. Clinical Cancer Research 17(10): 3478-3489, 2011.

Nathan G. Dolloff, Xiahong Ma, David T. Dicker, Robin C. Humphreys, Lin Z. Li and Wafik S. El-Deiry: Spectral imaging-based methods for quantifying autophagy and apoptosis. Cancer Biology and Therapy 12(4): 349-356, 2011.

Lin Z. Li, He N. Xu, S. Kadlececk, Kavindra Nath, Kejia Cai, Hari Hariharan, Jerry D. Glickson, Rahim Rizi: Non-invasive quantification of intracellular redox state in tissue by hyperpolarized 13C-NMR. Proceedings of the Annual Meeting of the International Society of Magnetic Resonance in Medicine, Melbourne, Australia May 2012 Notes: poster.

Lin Z. Li, Stephen Kadlececk, He N. Xu, Dania Daye, Benjamin Pullinger, Harrilla Profka, Lewis Chodosh, Rahim Rizi: Ratiometric analysis in hyperpolarized NMR (I): Test of the two-site exchange model and the quantification of reaction rate constants. NMR in Biomedicine 26(10): 1308-20, 2013 Notes: E-pub on April 29, 2013.

He N. Xu, Stephen Kadlececk, Harrilla Profka, Jerry D. Glickson, Rahim Rizi, Lin Z. Li: Is higher lactate an indicator of tumor metastatic risk?-A pilot MRS study using hyperpolarized 13C-pyruvate. Academic Radiology 21(2): 223-231, 2014.

Lin Z. Li: A pre-tracer approach for improving the accuracy of metabolic measurements by hyperpolarized nuclear magnetic resonance. Quant Imaging Med Surg 6(5): 612-614, 2016.

He N. Xu, Stephen Kadlececk, Hoora Shaghaghi, Huaqing Zhao, Harilla Profka, Mehrdad Pourfathi, Rahim Rizi, Lin Z. Li: Differentiating inflamed and normal lungs by the apparent reaction rate constants of lactate dehydrogenase probed by hyperpolarized 13C labeled pyruvate. Quantitative Imaging in Medicine and Surgery 6(1): 57-66, 2016.

Kejia Cai, He N. Xu, Anup Singh, Lily Moon, Mohammad Haris, Ravinder Reddy, Lin Z. Li: Breast cancer redox heterogeneity detectable with chemical exchange saturation transfer (CEST) MRI. Molecular Imaging and Biology 16(5): 670-9, 2014.

Lin Z. Li: Magnetic susceptibility quantification for arbitrarily shaped objects in inhomogeneous fields. Magnetic Resonance in Medicine 46(5): 907-916, 2001.

Lin Z. Li, Z.Y.J. Wang: Magnetic susceptibility quantitation with MRI by solving boundary value problems. Medical Physics 30(3): 449-453, 2003.

Lin Z. Li, John S. Leigh: High-precision mapping of the magnetic field utilizing the harmonic function mean value property. Journal of Magnetic Resonance 148(2): 442-448, 2001.

Lin Z. Li: Averaging of harmonic physical fields over an annular region enclosing field sources. American Journal of Physics 70(10): 1029-1033, 2002.

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Last updated: 10/13/2017
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