Variables affecting the stability of multiple cloning sites and hairpin structures in retroviral vectors

Retroviruses are RNA viruses that replicate through a double-stranded DNA intermediate. The viral enzyme reverse transcriptase copies the retroviral genomic RNA into this DNA intermediate through the process of reverse transcription. Many variables can affect the fidelity of reverse transcriptase during reverse transcription, including specific sequences within the retroviral genome. ^ Previous studies have observed that multiple cloning sites (MCS) and sequences predicted to form stable hairpin structures are hotspots for deletion during retroviral replication. The studies described in this dissertation were performed to elucidate the variables that affect the stability of MCS and hairpin structures in retroviral vectors. Two series of retroviral vectors were constructed and characterized in these studies. ^ Spleen necrosis virus-based vectors were constructed containing separate MCS insertions of varying length, orientation, and symmetry. The only MCS that was a hotspot for deletion formed a stable hairpin structure. Upon more detailed study, the MCS previously reported as a hotspot for deletion was found to contain a tandem linker insertion that formed a hairpin structure. Murine leukemia virus-based vectors were constructed containing separate sequence insertions of either inverted repeat symmetry (122IR) that could form a hairpin structure, or little symmetry (122c) that would form a less stable structure. These insertions were made into either the neomycin resistance marker ( neo) or the hygromycin resistance marker (hyg) of the vector. 122c was stable in both neo and hyg, while 122IR was preferentially deleted in neo and was remarkably unstable in hyg. ^ These results suggest that MCS are hotspots for deletion in retroviral vectors if they can form hairpin structures, and that hairpin structures can be highly unstable at certain locations in retroviral vectors. This information may contribute to improved design of retroviral vectors for such uses as human gene therapy, and will contribute to a greater understanding of the basic science of retroviral reverse transcription. ^

Whole genome analysis of Fusobacterium nucleatum, Rickettsia typhi and Francisella tularensis

The genomes of Fusobacterium nucleatum subspecies polymorphum strain ATCC 10953, Rickettsia typhi strain Wilmington, and Francisella tularensis subspecies holarctica strain OSU18 were sequenced, annotated, and analyzed. Each genome was then compared to the sequenced genomes of closely related bacteria. The genome of F. nucleatum ATCC 10953 was compared to two additional F. nucleatum subspecies, subspecies nucleatum and subspecies vincentii. This analysis revealed substantial evidence of horizontal gene transfer along with considerable genetic diversity within the species of F. nucleatum. R. typhi was compared to R. prowazekii and R. conorii. This analysis uncovered a hotspot for chromosomal rearrangements in the Spotted Fever Group but not the Typhus Group Rickettsia and revealed the close genetic relationship between the Typhus Group rickettsial species. F. tularensis OSU18 was compared to two additional F. tularensis strains. These comparisons uncovered significant chromosomal rearrangements between F. tularensis subspecies due to recombination between insertion sequence elements. ^

A screening for anti-West Nile immunoglobulin-G and immunoglobulin-M in the Cameron County Hispanic cohort

This study is designed to be a cross-sectional, retrospective analysis of the seroprevalence of anti-WNV antibodies in 1,006 plasma samples collected from February 2, 2006 to June 18, 2007 originally for The Cameron County Hispanic Cohort: Extreme obesity and uncontrolled diabetes on the U.S.-Mexico border, major concerns for populations with health disparities. The aim of this thesis research is to give a more up-to-date picture of Flavivirus activity in south Texas, which can potentially contribute to the surveillance objective of arboviral control in this area. A West Nile virus (WNV) seroprevalence study in humans in this particular area has never before been completed. Plasma samples were tested using immunoglobulin-G (IgG) and immunoglobulin-M (IgM) WNV enzyme linked immunosorbent assays (ELISA). Estimated seroprevalence for this particular population was 0.98% or 9.8 cases of West Nile disease per 1,000 citizens. After IgG testing, seroprevalence in the study population was found to be 15.4%. Specimens tested for WNV IgG were compared with a subset of specimens (N=803) tested for history of primary dengue virus (DENV) infection. Of the 803 specimens tested for IgG to DENV, 308 were positive. Of the 132 positive WNV IgG specimens in the subset, 131 (99.2%) tested also tested positive for DENV IgG. It would be helpful to use standard plaque reduction neutralization testing to determine if the seroprevalence is in fact lower because of cross-reaction to DENV on testing. Regardless of the possibility of other Flavivirus activity occurring prior to the introduction of WNV into the United States and the potential for cross-reactivity, Texas has ranked in the top 5 states with the highest, laboratory confirmed incidence of infection with WNV since 2003. Indicating that climate factors and the presence of suitable vectors makes Texas a hotspot for WNV activity. ^ A description of the study population by age, gender, and income was done indicating a statistically significant income difference with a mean household income per year being $13,413.55 for a case and $20,268.80 for non-cases (p=0.001). Lower income neighborhoods should be targeted for education and prevention of vector-borne diseases during the summer months in Cameron County. With respect to gender, being male has been noted in the literature to be a risk factor for infection with WNV (25). In this study, females comprised approximately 68% of the study population, they also made up 66.5% of the positive IgG specimens. An odds ratio of 0.91 indicates that women are less likely to be IgG positive for WNV as compared to men; however, this was not found to be significant based on the 95% confidence interval, but is consistent with the literature. When looking at age difference between positive and negative/equivocal cases, there was no statistical difference found between the two groups. ^ We concluded that this study will enable us to understand the epidemiology of WNV transmission since its introduction into the United States and hopefully to maintain or improve the current measures we have in place to prevent infections that are seen annually with WNV.^

Correlation of tuberculosis and human immunodeficiency virus in Harris County, Texas from 2009 through 2010 using Geographic Information Systems

A population based ecological study was conducted to identify areas with a high number of TB and HIV new diagnoses in Harris County, Texas from 2009 through 2010 by applying Geographic Information Systems to determine whether distinguished spatial patterns exist at the census tract level through the use of exploratory mapping. As of 2010, Texas has the fourth highest occurrence of new diagnoses of HIV/AIDS and TB.[31] The Texas Department of State Health Services (DSHS) has identified HIV infected persons as a high risk population for TB in Harris County.[29] In order to explore this relationship further, GIS was utilized to identify spatial trends. ^ The specific aims were to map TB and HIV new diagnoses rates and spatially identify hotspots and high value clusters at the census tract level. The potential association between HIV and TB was analyzed using spatial autocorrelation and linear regression analysis. The spatial statistics used were ArcGIS 9.3 Hotspot Analysis and Cluster and Outlier Analysis. Spatial autocorrelation was determined through Global Moran's I and linear regression analysis. ^ Hotspots and clusters of TB and HIV are located within the same spatial areas of Harris County. The areas with high value clusters and hotspots for each infection are located within the central downtown area of the city of Houston. There is an additional hotspot area of TB located directly north of I-10 and a hotspot area of HIV northeast of Interstate 610. ^ The Moran's I Index of 0.17 (Z score = 3.6 standard deviations, p-value = 0.01) suggests that TB is statistically clustered with a less than 1% chance that this pattern is due to random chance. However, there were a high number of features with no neighbors which may invalidate the statistical properties of the test. Linear regression analysis indicated that HIV new diagnoses rates (β=−0.006, SE=0.147, p=0.970) and census tracts (β=0.000, SE=0.000, p=0.866) were not significant predictors of TB new diagnoses rates. ^ Mapping products indicate that census tracts with overlapping hotspots and high value clusters of TB and HIV should be a targeted focus for prevention efforts, most particularly within central Harris County. While the statistical association was not confirmed, evidence suggests that there is a relationship between HIV and TB within this two year period.^