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Single Cell RT-qPCR on 3D Cell Spheroids

Abstract A single cell is the very fundamental element in an organism; however, it contains the most complicated and stochastic information, such as DNA, RNA, and protein expression. Thus, it is a necessity to study stochastic gene expression in order to discover the biosignatures at the single-cell level. The heterogeneous gene expression of single cells from an isogenic cell population has already been studied for years. Yet to date, single-cell studies have been confined in a fashion of analyzing isolated single cells or a dilution of cells from the bulk-cell populations. These techniques or devices are limited by either the mechanism of cell lysis or the difficulties to target specific cells without harming neighboring cells.

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Created Date 2016
Contributor Wang, Kuo-Chen (Author) / Meldrum, Deirdre R (Advisor) / Chao, Shih-hui (Committee member) / Wang, Hong (Committee member) / Goryll, Michael (Committee member) / Arizona State University (Publisher)
Subject Electrical engineering / Biomedical engineering
Type Doctoral Dissertation
Extent 108 pages
Language English
Reuse Permissions All Rights Reserved
Note Doctoral Dissertation Electrical Engineering 2016
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis