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- Title
- Differential cell killing of normal and transformed human lung fibroblasts by reovirus.
- Creator
- Loeffler, Jennifer L., Florida Atlantic University, Roner, Michael R.
- Abstract/Description
-
When infected with reovirus ST3, strain Dearing, normal and transformed human lung fibroblasts exhibit differential sensitivities. Transformed cells (WI38 VA13 2RA) are destroyed within four days. In contrast, normal cells (WI38) maintain a productive infection for as long as two months. Attempts to examine the differences between these cells included the use of cDNA subtraction and a reovirus sigma 1 protein affinity chromatography column, both of which were hampered by technical...
Show moreWhen infected with reovirus ST3, strain Dearing, normal and transformed human lung fibroblasts exhibit differential sensitivities. Transformed cells (WI38 VA13 2RA) are destroyed within four days. In contrast, normal cells (WI38) maintain a productive infection for as long as two months. Attempts to examine the differences between these cells included the use of cDNA subtraction and a reovirus sigma 1 protein affinity chromatography column, both of which were hampered by technical difficulties. Two-dimensional gel electrophoresis revealed patterns of differential protein expression between infected and mock-infected normal and transformed cells. Visual comparison of Coomassie blue-stained gels revealed one protein which was present in uninfected normal cells but was missing in all other samples, as well as five proteins that were present in infected and mock-infected normal cells but were missing in both transformed cell samples. Autoradiography of 35S-labeled cell samples revealed an additional eleven proteins not seen with Coomassie staining. Further characterization of these proteins should uncover the mechanism of differential cell killing by reovirus.
Show less - Date Issued
- 2000
- PURL
- http://purl.flvc.org/fcla/dt/15776
- Subject Headings
- Reoviruses, Fibroblasts, Cell transformation
- Format
- Document (PDF)
- Title
- Discovery and visualization of co-regulated genes relevant to target diseases.
- Creator
- Lad, Vaibhan., College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
- Abstract/Description
-
In this thesis, we propose to discover co-regulated genes using microarray expression data, as well as providing visualization functionalities for domain experts to study relationships among discovered co-regulated genes. To discover co-regulated genes, we first use existing gene selection methods to select a small portion of genes which are relevant to the target diseases, on which we build an ordered similarity matrix by using nearest neighbor based similarity assessment criteria. We then...
Show moreIn this thesis, we propose to discover co-regulated genes using microarray expression data, as well as providing visualization functionalities for domain experts to study relationships among discovered co-regulated genes. To discover co-regulated genes, we first use existing gene selection methods to select a small portion of genes which are relevant to the target diseases, on which we build an ordered similarity matrix by using nearest neighbor based similarity assessment criteria. We then apply a threshold based clustering algorithm named Spectral Clustering to the matrix to obtain a number of clusters. The genes which are clustered together in one cluster represent a group of co-regulated genes and to visualize them, we use Java Swings as the tool and develop a visualization platform which provides functionalities for domain experts to study relationships between different groups of co-regulated genes; study internal structures within each group of genes, and investigate details of each individual gene and of course for gene function prediction. Results are analyzed based on microarray expression datasets collected from brain tumor, lung cancers and leukemia samples.
Show less - Date Issued
- 2010
- PURL
- http://purl.flvc.org/FAU/2976447
- Subject Headings
- Genomics, Gene mapping, Cell transformation, Cellular signal transduction
- Format
- Document (PDF)
- Title
- Using ATR-IR spectroscopy to study the conformation of cell-penetrating peptides.
- Creator
- Fontoura, Luiza, Rezler, Evonne
- Date Issued
- 2012-04-06
- PURL
- http://purl.flvc.org/fcla/dt/3351389
- Subject Headings
- Cell-Penetrating Peptides, Antennapedia Homeodomain Protein, Homeodomain Proteins --chemistry, Spectroscopy, Fourier Transform Infrared --methods, Spectrum Analysis, Amides --chemistry, Carrier Progeins
- Format
- Document (PDF)