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BME 695N Engineering Nanomedical Systems

BME 695N Lecture 16: Assessing drug efficacy at the single cell level

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Contributor(s) James Leary
Purdue University, West Lafayette
Abstract Outline:
  1. Introduction and overview
    1. Nanomedical treatment at the single cell level requires evaluation at the single cell level
    2. For evaluation purposes, does structure reveal function?
    3. The difficulty of anything but simple functional assays
    4. The need for assays which at least show correlation to functional activity
  2. Quantitative single cell measurements of one or more proteins per cell by flow and image/confocal cytometry
    1. Cell surface measures of protein expression on live, single cells
    2. High-throughput flow cytometric screening of bioactive compounds
    3. Challenges of measuring protein expression inside fixed, single cells
    4. When location is important 2D or 3D imaging is required to get spatial location of proteins inside cells
  3. Quantitative multiparameter phospho-specific flow cytometry
    1. Attempts to measure "functional proteins" by detecting phosphorylation
    2. Example of phospho-specific, multiparameter flow cytometry
    3. Example of measuring single cell gene silencing by phospho-specific flow cytometry
  4. Quantitative measures of gene expression – the promises and the realities
    1. Is gene expression at the single cell level really possible?
    2. Is it even useful to measure a single gene's changes?
    3. Gene arrays of purified cell subpopulations
    4. RNA amplification techniques to attempt to perform single cell gene arrays
References Outline:
  • Steven M. Chan, Janelle A. Olson, and Paul J. Utz. Single-Cell Analysis of siRNA-Mediated Gene Silencing Using Multiparameter Flow Cytometry. Cytometry Part A 69A:59–65 (2005).
  • Peter O. Krutzik, Jonathan M. Irish, Garry P. Nolan and Omar D. Perez. Analysis of protein phosphorylation and cellular signaling events by flow cytometry: techniques and clinical applications. Clinical Immunology 110: 206– 221 (2004).
  • Susan M. Young, Mark S. Curry, John T. Ransom, Juan A. Ballesteros, Eric R. Prossnitz, Larry A. Sklar and Bruce S. Edwards. High-Throughput Microfluidic Mixing and Multiparametric Cell Sorting for Bioactive Compound Screening. J Biomol Screening; 9; 103 – 111 (2004).
  • Szaniszlo, P., Wang, N., Sinha, M., Reece, L.M., Van Hook, J.W., Luxon, B.A., Leary, J.F. "Getting the Right Cells to the Array: Gene Expression Microarray Analysis of Cell Mixtures and Sorted Cells" Cytometry 59A: 191-202 (2004).
  • Szaniszlo, P. Gene Expression Microarray Analysis of Small, Purified Cell Subsets. University of Texas Medical Branch, Galveston, TX April, 2007 (mentor: Dr. Leary)
Cite this work

If you reference this work in a publication, please cite as follows:

  • Leary, James (2007), "BME 695N Lecture 16: Assessing drug efficacy at the single cell level," http://www.nanohub.org/resources/3478/.

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Date posted 02 Nov, 2007
Time 04:30 PM, October 25, 2007
Location Biomedical Engineering, Room 1083
Type Online Presentations
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  • 7.3 Ranking Courses Part of: BME 695N Engineering Nanomedical Systems

    BME 695N Engineering Nanomedical Systems

    Type Courses
    Contributor(s) James Leary
    Date 28 Aug, 2007
    Avg. Rating 5.0 out of 5 stars  (1)
    Rate this

    This course will cover the basic concepts of design of integrated nanomedical systems for diagnostics and therapeutics. Topics to be covered include: why nanomedical approaches are needed, cell targeting strategies, choice of core nanomaterials, technologies for testing composition and structure …

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