Bedouin in the Negev and Environmental Studies: Current and Future Research Prospects

Environmental aspects are increasingly being integrated in Negev Bedouin studies by both, NGO activists and scholars. We will present these recent works and discuss new concepts and methodologies of environmental studies with potential relevance in the field of Negev Bedouin studies. We will then identify research areas where environmental and development approaches converge or diverge with mainstream social sciences on this specific field of research. While most of the Bedouin population in southern Israel lives in urban centers in the Northern Negev, a large part of Bedouin people live in unrecognized clusters of houses in remote areas. Extensive livestock rearing is an important source of livelihood at least for non-urbanized Bedouin, the latter forming the lowest economic strata of the Israeli spectrum of incomes. Numerous stressors affect this Bedouin community enduring uncertain livelihood and access to land. The erratic precipitations from year to year and long-term changes in precipitation trends are a source of great uncertainty. With a significant price increase for feeding supplements to compensate for dry years, livestock rearing has become a harsher source of livelihood. Land scarcity for grazing adds to the difficulty in ensuring enough income for living. Studies in the last 15 years have described several livelihood strategies based on a livestock rearing semi-nomadic economy in the Negev. A number of other analyses have shown how Bedouin herders and governmental agencies have found agreements at the advantage of both, the agencies and the herders. New concepts such as transformability, resilience and adaptation strategies are important tools to analyze the capacity of vulnerable communities to cope with an ever increasing livelihood uncertainty. Such research concepts can assist in better understanding how Bedouin herders in the Negev may adapt to climate and political risks.

Optimized on-line enantioselective capillary electrophoretic method for kinetic and inhibition studies of drug metabolism mediated by cytochrome P450 enzymes.

Pharmacokinetic and pharmacodynamic properties of a chiral drug can significantly differ between application of the racemate and single enantiomers. During drug development, the characteristics of candidate compounds have to be assessed prior to clinical testing. Since biotransformation significantly influences drug actions in an organism, metabolism studies represent a crucial part of such tests. Hence, an optimized and economical capillary electrophoretic method for on-line studies of the enantioselective drug metabolism mediated by cytochrome P450 enzymes was developed. It comprises a diffusion-based procedure, which enables mixing of the enzyme with virtually any compound inside the nanoliter-scale capillary reactor and without the need of additional optimization of mixing conditions. For CYP3A4, ketamine as probe substrate and highly sulfated γ-cyclodextrin as chiral selector, improved separation conditions for ketamine and norketamine enantiomers compared to a previously published electrophoretically mediated microanalysis method were elucidated. The new approach was thoroughly validated for the CYP3A4-mediated N-demethylation pathway of ketamine and applied to the determination of its kinetic parameters and the inhibition characteristics in presence of ketoconazole and dexmedetomidine. The determined parameters were found to be comparable to literature data obtained with different techniques. The presented method constitutes a miniaturized and cost-effective tool, which should be suitable for the assessment of the stereoselective aspects of kinetic and inhibition studies of cytochrome P450-mediated metabolic steps within early stages of the development of a new drug.

CYTOLOGICAL, ULTRASTRUCTURAL, AND BIOCHEMICAL STUDIES OF THE STRUCTURE OF PREMATURELY CONDENSED CHROMOSOMES

The phenomenon of premature chromosome condensation, resulting from fusion between mitotic and interphase cells, includes dissolution of the interphase nuclear framework, thus allowing a direct visualization of interphase chromosomes. Light microscope morphology of prematurely condensed chromosomes (PCC) from synchronized HeLa cells supports the model of an interphase "chromosome condensation cycle". PCC are increasingly attenuated as cells progress through G(,1). A maximum degree of decondensation is observed at active sites of DNA replication during S phase, and a condensed morphology is rapidly resumed following completion of replication of a chromosome segment.^ To permit ultrastructural and biochemical studies of PCC, a procedure was developed to induce premature chromosome condensation at high frequency. This was achieved by polyethylene glycol (PEG)-mediated fusion of a dense monolayer of mitotic and interphase cells induced by centrifugation onto lectin-coated culture dishes. Using this method, PCC induction frequencies of 60-90% are routinely obtained.^ Scanning electron microscope analysis of PCC spreads revealed that the extension of PCC during progression through G(,1) is accompanied by a transition of the basic 30 nm chromatin fiber from tightly packed looping fibers to extended longitudinal fibers. Sites of active DNA replication is S-PCC were indicated to be organized a single longitudinal fibers. Following replication of a chromosome segment, a rapid reorganization from the extended longitudinal fiber to packed looping fibers occurs. The postreplication maturation process appears to include the assembly of a chromosome core consisting of multiple longitudinal fibers.^ The role of histone H1 phosphorylation in PCC formation was investigated by acidurea polyacrylamide gel electrophoresis of total histone extracted from metaphase chromosomes and PCC following high frequency fusion. This investigation failed to demonstrate an extensive phosphorylation of H1 associated with PCC formation. However, significant dephosphorylation of superphosphorylated metaphase chromosome H1 was observed, indicating that interphase H1-phosphatase activity is dominant over metaphase H1 kinase activity. These observations provide evidence against models suggesting a role for H1 superphosphorylation in triggering mitotic condensation of chromosomes. ^

Theoretical and experimental studies of linkage disequilibrium in human populations

Linkage disequilibrium (LD) is defined as the nonrandom association of alleles at two or more loci in a population and may be a useful tool in a diverse array of applications including disease gene mapping, elucidating the demographic history of populations, and testing hypotheses of human evolution. However, the successful application of LD-based approaches to pertinent genetic questions is hampered by a lack of understanding about the forces that mediate the genome-wide distribution of LD within and between human populations. Delineating the genomic patterns of LD is a complex task that will require interdisciplinary research that transcends traditional scientific boundaries. The research presented in this dissertation is predicated upon the need for interdisciplinary studies and both theoretical and experimental projects were pursued. In the theoretical studies, I have investigated the effect of genotyping errors and SNP identification strategies on estimates of LD. The primary importance of these two chapters is that they provide important insights and guidance for the design of future empirical LD studies. Furthermore, I analyzed the allele frequency distribution of 26,530 single nucleotide polymorphisms (SNPs) in three populations and generated the first-generation natural selection map of the human genome, which will be an important resource for explaining and understanding genomic patterns of LD. Finally, in the experimental study, I describe a novel and simple, low-cost, and high-throughput SNP genotyping method. The theoretical analyses and experimental tools developed in this dissertation will facilitate a more complete understanding of patterns of LD in human populations. ^

Delineating the molecular basis of human genetic diseases: Epigenetic and functional studies

Identifying and characterizing the genes responsible for inherited human diseases will ultimately lead to a more holistic understanding of disease pathogenesis, catalyze new diagnostic and treatment modalities, and provide insights into basic biological processes. This dissertation presents research aimed at delineating the genetic and molecular basis of human diseases through epigenetic and functional studies and can be divided into two independent areas of research. The first area of research describes the development of two high-throughput melting curve based methods to assay DNA methylation, referred to as McMSP and McCOBRA. The goal of this project was to develop DNA methylation methods that can be used to rapidly determine the DNA methylation status at a specific locus in a large number of samples. McMSP and McCOBRA provide several advantages over existing methods, as they are simple, accurate, robust, and high-throughput making them applicable to large-scale DNA methylation studies. McMSP and McCOBRA were then used in an epigenetic study of the complex disease Ankylosing spondylitis (AS). Specifically, I tested the hypothesis that aberrant patterns of DNA methylation in five AS candidate genes contribute to disease susceptibility. While no statistically significant methylation differences were observed between cases and controls, this is the first study to investigate the hypothesis that epigenetic variation contributes to AS susceptibility and therefore provides the conceptual framework for future studies. ^ In the second area of research, I performed experiments to better delimit the function of aryl hydrocarbon receptor-interacting protein-like 1 (AIPL1), which when mutated causes various forms of inherited blindness such as Leber congenital amaurosis. A yeast two-hybrid screen was performed to identify putative AIPL1-interacting proteins. After screening 2 × 106 bovine retinal cDNA library clones, 6 unique putative AIPL1-interacting proteins were identified. While these 6 AIPL1 protein-protein interactions must be confirmed, their identification is an important step in understanding the functional role of AIPL1 within the retina and will provide insight into the molecular mechanisms underlying inherited blindness. ^

A hybrid method in combining treatment effects from matched and unmatched studies

In the biomedical studies, the general data structures have been the matched (paired) and unmatched designs. Recently, many researchers are interested in Meta-Analysis to obtain a better understanding from several clinical data of a medical treatment. The hybrid design, which is combined two data structures, may create the fundamental question for statistical methods and the challenges for statistical inferences. The applied methods are depending on the underlying distribution. If the outcomes are normally distributed, we would use the classic paired and two independent sample T-tests on the matched and unmatched cases. If not, we can apply Wilcoxon signed rank and rank sum test on each case. ^ To assess an overall treatment effect on a hybrid design, we can apply the inverse variance weight method used in Meta-Analysis. On the nonparametric case, we can use a test statistic which is combined on two Wilcoxon test statistics. However, these two test statistics are not in same scale. We propose the Hybrid Test Statistic based on the Hodges-Lehmann estimates of the treatment effects, which are medians in the same scale.^ To compare the proposed method, we use the classic meta-analysis T-test statistic on the combined the estimates of the treatment effects from two T-test statistics. Theoretically, the efficiency of two unbiased estimators of a parameter is the ratio of their variances. With the concept of Asymptotic Relative Efficiency (ARE) developed by Pitman, we show ARE of the hybrid test statistic relative to classic meta-analysis T-test statistic using the Hodges-Lemann estimators associated with two test statistics.^ From several simulation studies, we calculate the empirical type I error rate and power of the test statistics. The proposed statistic would provide effective tool to evaluate and understand the treatment effect in various public health studies as well as clinical trials.^