Lisa Reece
I am a Christian who loves God first and family. I love science and research and learning all I can. I am an classically trained musician and me and my family have a music minstry. I also love animals and spend time volunteering at the local zoo.
Research interests
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InterestsComparative Anatomy, Human Anatomy
Publications
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Microfabrication of a Two-Stage BioMEMS Mircofluidics Cell Sorter
Microfluidics, BioMEMS, and Medical Microsystems VII, Proc. of SPIE. 12/2009; 7207.
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Efficient and Economical Electro-Drug Delivery
2009 IEEE Toronto International Conference – Science and Technology for Humanity – Students of Biomedical Engineering. 06/2009;
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Low-Noise, Wide Dynamic Range Sigma Delta Sensor Interface with Applications in Microfluidic Cell Sorting
IEEE Transaction on Biomedical Circuits and Systems. 04/2009; 3.
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3.03Impact points
Detection of pathogenic E. coli O157:H7 by a hybrid microfluidic SPR and molecular imaging cytometry device.
Cytometry. Part A : the journal of the International Society for Analytical Cytology. 01/2009;
Current methods to screen for bacterial contamination involve using costly reagents such as antibodies or PCR reagents or time-costly growth in cultures. There is need for portable, real-time, multiplex pathogen detection technology that can predict the safety of food. Surface plasmon resonance (SPR... [more] Current methods to screen for bacterial contamination involve using costly reagents such as antibodies or PCR reagents or time-costly growth in cultures. There is need for portable, real-time, multiplex pathogen detection technology that can predict the safety of food. Surface plasmon resonance (SPR) imaging is a sensitive, label-free method that can detect the binding of an analyte to a surface by the changes in refractive index that occur upon binding. We have designed a hybrid microfluidic biochip to perform multiplexed detection of single-celled pathogens using a combination of SPR and fluorescence imaging. The device consists of an array of gold spots, each functionalized with a capture biomolecule targeting a specific pathogen. This biosensor array is enclosed by a polydimethylsiloxane microfluidic flow chamber that delivers a magnetically concentrated sample to be tested. The sample is imaged by SPR on the bottom of the biochip and epi-fluorescence on the top. The prototype instrument was successfully able to image antibody-captured E. coli O157:H7 bacteria by SPR and fluorescence imaging. The efficiency of capture of these bacteria by the magnetic particles was determined using spectrophotometric ferric oxide absorbance measurements. The binding of the E. coli to each spot was quantified by measuring the percent of the gold spot area upon which the bacteria was bound and analyzed using NIH ImageJ software. This hybrid imaging approach of pathogenic E. coli detection coupled with an estimate of relative infectivity is shown to be a working example of a testing device for potential foodborne pathogens. (c) 2008 International Society for Advancement of Cytometry.
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Design of a Multi-Stage Microfluidics System for High-Speed Flow Cytometry and Closed System Cell Sorting for Cytomics
Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues VI, SPIE. 12/2008; 6859.
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An efficient method to produce clonal colonies of cancer cells using Laser Enabled Analysis and Processing (LEAP)
Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues VI, SPIE. 12/2008; 6859.
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Peptide targeting of quantum dots to human breast cancer cells
Colloidal Quantum Dots for Biomedical Applications III, SPIE. 12/2008; 6866.
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Comparison of multidimensional flow cytometric data by a novel data mining technique
Imaging Manipulation, and Analysis of Biomolecules, Cells, and Tissues V, SPIE. 12/2007; 6441.
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Design of programmable multilayered nanoparticles with in situ manufacture of therapeutic genes for nanomedicine
Proceedings of the SPIE. 12/2006;
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3.03Impact points
Scanning cytometry with a LEAP: laser-enabled analysis and processing of live cells in situ.
Cytometry. Part A : the journal of the International Society for Analytical Cytology. 08/2006; 69(7):641-51.
BACKGROUND: Scanning cytometry now has many of the features (and power) of multiparameter flow cytometry while keeping its own advantages as an imaging technology. Modern instruments combine capabilities of scanning cytometry with the ability to manipulate cells. A new technology, called LEAP (laser... [more] BACKGROUND: Scanning cytometry now has many of the features (and power) of multiparameter flow cytometry while keeping its own advantages as an imaging technology. Modern instruments combine capabilities of scanning cytometry with the ability to manipulate cells. A new technology, called LEAP (laser-enabled analysis and processing), offers a unique combination of capabilities in cell purification and selective macromolecule delivery (optoinjection). METHODS: LEAP-mediated cell purification and optoinjection effects were assessed in model experiments using adherent and suspension cell types and cell mixtures plated and processed at different densities. Optoinjection effects were visualized by delivering fluorescent dextrans into cells. Results were analyzed using the LEAP instrument's own imaging system as well as by fluorescence and confocal microscopy. RESULTS: Live cell samples (adherent and suspension) could be purified to 90-100% purity with 50-90% yield, causing minimal cell damage depending on the cell type and plating density. Nearly one hundred percent of the targeted cells of all cell types examined could be successfully optoinjected with dextrans of 3-70 kDa, causing no visual damage to the cells. Indirect optoinjection effects were observed on untargeted cells within 5-60 microm to targeted areas under conditions used here. CONCLUSIONS: LEAP provides solutions in cell purification and targeted macromolecule delivery for traditional and challenging applications where other methods fall short.
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High-Throughput Flow Cytometric Screening of Combinatorial Chemistry Bead Libraries for Proteomics and Drug Discovery
Advanced Biomed. And Clinical Diagnostic Systems III. 12/2005; 5692:216-223.
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Biosensor-Controlled Gene Therapy/Drug Delivery with Nanoparticles for Nanomedicine
Advanced Biomed. And Clinical Diagnostic Systems III, SPIE. 12/2005; 5692:199-208.
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3.03Impact points
Estimating cell death in G(2)M using bivariate BrdUrd/DNA flow cytometry.
Cytometry. Part A : the journal of the International Society for Analytical Cytology. 08/2005; 66(1):32-40.
BACKGROUND: In an accompanying paper (Asmuth et al.) it was found necessary to include cell death explicitly to estimate parameters of cell proliferation. The use of bivariate flow cytometry to estimate the phase durations and the doubling times of cells labeled with thymidine analogues is well esta... [more] BACKGROUND: In an accompanying paper (Asmuth et al.) it was found necessary to include cell death explicitly to estimate parameters of cell proliferation. The use of bivariate flow cytometry to estimate the phase durations and the doubling times of cells labeled with thymidine analogues is well established. However, these methods of analysis do not consider the possibility of cell death. This report demonstrates that estimating cell death in G(2)/M is possible. METHODS: Mathematical models for the experimental quantities, the fraction of labeled undivided cells, the fraction of labeled divided cells, and the relative movement were developed. These models include the possibility that, of the cells with G(2)/M DNA content, only a certain fraction will divide, with the remainder dying after some time T(R). Simulation studies were conducted to test the possibility of using simple methods to estimate phase durations and cell death rates. RESULTS: Cell death alters the estimates of phase transit times in a rather complex manner that depends on the lifetime of the doomed cells. However, it is still possible to obtain estimates of the phase durations of cells in S and G(2)/M and the death rates of cells in G(2)/M. CONCLUSIONS: The methods presented herein provide a new way to characterize cell populations that includes cell death rates and common measurements of cell proliferation.
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3.03Impact points
Cell cycle kinetic dysregulation in HIV-infected normal lymphocytes.
Cytometry. Part A : the journal of the International Society for Analytical Cytology. 08/2005; 66(1):41-51.
BACKGROUND: Viruses alter cellular gene transcription and protein binding at many steps critical for cell cycle regulation to optimize the milieu for productive infection. Reasoning that virus-host cell interactions would result in perturbations of cell cycle kinetics, measurement of the duration of... [more] BACKGROUND: Viruses alter cellular gene transcription and protein binding at many steps critical for cell cycle regulation to optimize the milieu for productive infection. Reasoning that virus-host cell interactions would result in perturbations of cell cycle kinetics, measurement of the duration of the phases of the cell cycle in normal T lymphocytes infected with human immunodeficiency virus (HIV) was undertaken. METHODS: Flow cytometric measurement of bromodeoxyuridine-labeled and DNA content-stained cells at multiple points through the cell cycle allowed estimation of the fraction of cells in each phase, the potential doubling-time, and the durations of S and G(2)/M phases. Separate analysis of the HIV(+) and HIV(-) populations within the infected cultures was performed based on intracellular, anti-HIV core p24 antibody labeling. A novel mathematical model, which accounted for cell loss, was developed to estimate cell cycle phases. RESULTS: (a) S phase was prolonged in the HIV-1(SF2)-infected cells compared with control. (b) This delay in S phase was due to delay in the population of cells not expressing HIV-1 antigens (p24 negative). (c) Accumulation of cells in G(2)/M phase was confirmed in HIV-1-infected cultures and was proportional to the level of infection as measured by p24 fluorescent intensity. However, all mock and HIV-1-infected populations predicted to proceed through cell division demonstrated similar G(2)/M-phase durations. (c) Potential doubling times were longer in the infected cultures; in contrast, the p24(+) subpopulations accounted for this delay. This suggests an isolated delay in the G(0)/G(1) phase for that population of cells. CONCLUSIONS: Multiple phases of host cell cycle durations were affected by HIV-1(SF2) infection in this in vitro model, suggesting novel HIV-1 pathogenesis mechanisms. Prolonged S-phase durations in HIV-1 infected/p24(-) and G(0)/G(1)-phase durations in HIV-1 infected/p24(+) subpopulations require further study to identify mechanistic pathways.
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3.03Impact points
Getting the right cells to the array: Gene expression microarray analysis of cell mixtures and sorted cells.
Cytometry. Part A : the journal of the International Society for Analytical Cytology. 07/2004; 59(2):191-202.
BACKGROUND: Most biological samples are cell mixtures. Some basic questions are still unanswered about analyzing these heterogeneous samples using gene expression microarray technology (MAT). How meaningful is a cell mixture's overall gene expression profile (GEP)? Is it necessary to purify the ... [more] BACKGROUND: Most biological samples are cell mixtures. Some basic questions are still unanswered about analyzing these heterogeneous samples using gene expression microarray technology (MAT). How meaningful is a cell mixture's overall gene expression profile (GEP)? Is it necessary to purify the cells of interest before microarray analysis, and how much purity is needed? How much does the purification itself distort the GEP, and how well can the GEP of a small cell subset be recovered? METHODS: Model cell mixtures with different cell ratios were analyzed by both spotted and Affymetrix MAT. GEP distortion during cell purification and GEPs of purified cells were studied. CD34+ cord blood cells were purified and analyzed by MAT. RESULTS: GEPs for mixed cell populations were found to mirror the cell ratios in the mixture. Over 75% pure samples were indistinguishable from pure cells by their overall GEP. Cell purification preserved the GEP. The GEPs of small cell subsets could be accurately recovered by cell sorting both from model cell mixtures and from cord blood. CONCLUSIONS: Purification of small cell subsets from a mixture prior to MAT is necessary for meaningful results. Even completely hidden GEPs of small cell subpopulations can be recovered by cell sorting.
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7.48Impact points
Immunofluorescence assay and flow-cytometry selection of bead-bound aptamers.
Nucleic acids research. 06/2003; 31(10):e54.
An immunofluorescence assay was developed to identify proteins specifically binding to oligonucleoside phosphorodithioate (ODN) aptamers from a bead-bound ODN library. Accordingly, NF-kappaB p50 protein was incubated with either bead-bound NF-kappaB consensus sequence or a bead-bound ODN combinatori... [more] An immunofluorescence assay was developed to identify proteins specifically binding to oligonucleoside phosphorodithioate (ODN) aptamers from a bead-bound ODN library. Accordingly, NF-kappaB p50 protein was incubated with either bead-bound NF-kappaB consensus sequence or a bead-bound ODN combinatorial library and adsorption was then assessed using a specific primary antibody and a secondary antibody conjugated with Alexa 488 fluorescent dye. This assay avoids any problems related to fluorescently labeling target proteins. The method is straightforward and readily applicable to other transcription factors and proteins, and the feasibility of its application for high-throughput screening of large aptamer bead-based libraries by flow cytometry is demonstrated.
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Advanced “Real-time” Classification Methods for Flow Cytometry Data Analysis and Cell Sorting
SPIE. 12/2002; 4622:204-210.
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High-Throughput Cell Analysis and Sorting Technologies for Clinical Diagnostics and Therapeutics
SPIE. 12/2001; 4255:16-27.
Following (8)
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Huma Shehwana
International Islamic University, Islamabad -
A. G. Bell
North-American Simulation Technology (NASTEC) Initiative and Association -
Kanchan Chakma
Tohoku University -
Arghya Das
The Centre for DNA Fingerprinting and Diagnostics -
Gulderen Yanikkaya Demirel
Yeditepe University
