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| Education l Research Summary l Publications l Fellowships l Honors & Awards | |||||||||||||||||||||||||||||||||||||||||||
Education
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| Research Summary | |||||||||||||||||||||||||||||||||||||||||||
My research focuses on the development and use of optically encoded nanomaterials for quantitative immunohistochemistry in the context of molecular diagnostics. Immunohistochemistry (IHC) is the measurement of protein expression in cell and tissue biopsies by optical tags that are attached to cancer biomarker specific antibodies. Standard IHC is routinely used in the clinic for correlating molecular with morphologic information, but lacks quantitative rigor, resulting in high inter-observer variability. In addition, the spectral characteristics of the optical tags make it difficult to simultaneously analyze multiple biomarkers, making co-expression analysis infeasible in highly limited samples such as needle biopsies. These issues can be addressed with the development of improved optical tags and analytical assay methods. By linking combinations of gold nanoparticles, organic dyes, polymers, and antibodies, I have developed a new class of optical tags that show promise as probes for quantitative and multiplexed immunohistochemistry. These nanoparticle tags are highly efficient for a light scattering process known as surface enhanced Raman scattering and produce finger-print like optical readouts (spectral signatures). In comparison to colorimetric and fluorescent tags, a greater number of Raman-encoded nanoparticle tags can be detected with relatively simple instrumentation. Multiplexed optical readouts in solutions, cells, and tissues are measured by a standard light microscope outfitted with a single diode laser and a spectrometer and deconvoluted with standard signal processing methods. In addition, these Raman tags confer bright optical readouts that are less affected by prolonged illumination or sample autofluorescence. The further development and translation of this technology may make it possible one day to routinely read the biomolecular signatures of an individual patient's tumor and accurately predict clinical outcome and response to molecularly targeted therapies. |
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Publications and Presentation |
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Peer reviewed papers: Ximei Qian, Xiang-Hong Peng, Dominic O Ansari, Qiqin Yin-Goen, Georgia Z Chen, Dong M Shin, Lily Yang, Andrew N Young, May D Wang, and Shuming Nie. 2007. In vivo tumor targeting and spectroscopic detection with surface-enhanced Raman nanoparticle tags. Nature Biotechnology. 26 (1) 83-90: 83-90
Xianxin Hua, Xuedong Liu, Dominic O. Ansari, and Harvey F. Lodish. 1998. Synergistic cooperation of TFE3 and Smad proteins in TGF-beta induced transcription of the plasminogen activator inhibitor-1 gene. Genes and Development. 12 (19):3084-3095 Conference proceedings and abstracts: Dominic O. Ansari, X.-M. Qian, and Shuming Nie. Near-infrared Raman-encoded tags for invitro and in situ cancer biomarker detection. Proceedings of the American Association for Cancer Research (AACR) International Conference on Molecular Diagnostics in Cancer Therapeutic Development; 2007. Atlanta, GA. Abstract number A27 Dominic O. Ansari, X.-M. Qian, and Shuming Nie. Surface enhanced Raman tags for cellular cancer biomarker detection. Proceedings of the Annual Meeting of the American Association for Cancer Research (AACR); 2007. Los Angeles, CA, Abstract number 4747 Dominic O. Ansari, Douglas A. Stuart, and Shuming Nie. 2005. Enhanced Raman spectroscopic detection of protein biomarkers in intact cells and tissues. Proceedings of the Society of Photo-optical Instrumentation Engineers (SPIE). 2005, 5699, 82-90 |
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| Fellowships | |||||||||||||||||||||||||||||||||||||||||||
UNCF-Merck Graduate Dissertation Fellowship |
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| Honors and Awards | |||||||||||||||||||||||||||||||||||||||||||
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