Highly Efficient Selection, Enumeration, Enrichment, and Molecular Profiling of Low-Abundance Biological Cells

After brief overviews of low-abundance cell selection techniques in chapter 1 and circulating tumor cells in chapter 2, this dissertation initially focuses on the development of aptamer incorporated high-throughput microfluidic techniques to select rare circulation prostate cancer cells (LNCaP) dire...

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Main Author: Dharmasiri, Udara R. Dharmasiri Rasika
Other Authors: Francis, Joseph
Format: Others
Language:en
Published: LSU 2010
Subjects:
Online Access:http://etd.lsu.edu/docs/available/etd-10292010-133201/
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spelling ndltd-LSU-oai-etd.lsu.edu-etd-10292010-1332012013-01-07T22:53:05Z Highly Efficient Selection, Enumeration, Enrichment, and Molecular Profiling of Low-Abundance Biological Cells Dharmasiri, Udara R. Dharmasiri Rasika Chemistry After brief overviews of low-abundance cell selection techniques in chapter 1 and circulating tumor cells in chapter 2, this dissertation initially focuses on the development of aptamer incorporated high-throughput microfluidic techniques to select rare circulation prostate cancer cells (LNCaP) directly from whole blood with subsequent quantification of these rare cells using a non-labeling approach. Then, I extended the technology to environmental samples in an effort around time, sensitivity, and portability of traditional groundwater assessment. As a model bio- pathogen, E. coli O157:H7 was chosen due to its toxicity and its adverse impact on recreational waters. Low-abundance (<100 cells mL-1) E. coli O157:H7 cells were isolated and enriched from environmental water samples using a microfluidic chip that its capture beds were covalently decorated with E.coli O157:H7 specific polyclonal antibodies. The selected cells were enumerated using RT-qPCR technique. Finally, I have integrated HTMSU with electrokinetic enrichment microfluidic unit for performance of single recombinant low-abundance CTC cell-based assay. A series of analytical processes were carried out, including immunoaffinity selection of rare CTCs, quantification of selected cells via conductivity impedance and electrophoretic enrichment of selected cells for PCR/LDR/CE interrogation for detection of low-abundance point mutations in genomic DNA. Francis, Joseph Zhang, Donghui Spivak, David Garno, Jayne Soper, Steven LSU 2010-11-15 text application/pdf http://etd.lsu.edu/docs/available/etd-10292010-133201/ http://etd.lsu.edu/docs/available/etd-10292010-133201/ en unrestricted I hereby certify that, if appropriate, I have obtained and attached herein a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to LSU or its agents the non-exclusive license to archive and make accessible, under the conditions specified below and in appropriate University policies, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report.
collection NDLTD
language en
format Others
sources NDLTD
topic Chemistry
spellingShingle Chemistry
Dharmasiri, Udara R. Dharmasiri Rasika
Highly Efficient Selection, Enumeration, Enrichment, and Molecular Profiling of Low-Abundance Biological Cells
description After brief overviews of low-abundance cell selection techniques in chapter 1 and circulating tumor cells in chapter 2, this dissertation initially focuses on the development of aptamer incorporated high-throughput microfluidic techniques to select rare circulation prostate cancer cells (LNCaP) directly from whole blood with subsequent quantification of these rare cells using a non-labeling approach. Then, I extended the technology to environmental samples in an effort around time, sensitivity, and portability of traditional groundwater assessment. As a model bio- pathogen, E. coli O157:H7 was chosen due to its toxicity and its adverse impact on recreational waters. Low-abundance (<100 cells mL-1) E. coli O157:H7 cells were isolated and enriched from environmental water samples using a microfluidic chip that its capture beds were covalently decorated with E.coli O157:H7 specific polyclonal antibodies. The selected cells were enumerated using RT-qPCR technique. Finally, I have integrated HTMSU with electrokinetic enrichment microfluidic unit for performance of single recombinant low-abundance CTC cell-based assay. A series of analytical processes were carried out, including immunoaffinity selection of rare CTCs, quantification of selected cells via conductivity impedance and electrophoretic enrichment of selected cells for PCR/LDR/CE interrogation for detection of low-abundance point mutations in genomic DNA.
author2 Francis, Joseph
author_facet Francis, Joseph
Dharmasiri, Udara R. Dharmasiri Rasika
author Dharmasiri, Udara R. Dharmasiri Rasika
author_sort Dharmasiri, Udara R. Dharmasiri Rasika
title Highly Efficient Selection, Enumeration, Enrichment, and Molecular Profiling of Low-Abundance Biological Cells
title_short Highly Efficient Selection, Enumeration, Enrichment, and Molecular Profiling of Low-Abundance Biological Cells
title_full Highly Efficient Selection, Enumeration, Enrichment, and Molecular Profiling of Low-Abundance Biological Cells
title_fullStr Highly Efficient Selection, Enumeration, Enrichment, and Molecular Profiling of Low-Abundance Biological Cells
title_full_unstemmed Highly Efficient Selection, Enumeration, Enrichment, and Molecular Profiling of Low-Abundance Biological Cells
title_sort highly efficient selection, enumeration, enrichment, and molecular profiling of low-abundance biological cells
publisher LSU
publishDate 2010
url http://etd.lsu.edu/docs/available/etd-10292010-133201/
work_keys_str_mv AT dharmasiriudarardharmasirirasika highlyefficientselectionenumerationenrichmentandmolecularprofilingoflowabundancebiologicalcells
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