20 resultados para Functional Requirements for Authority Data (FRAD)

em DigitalCommons@The Texas Medical Center


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The corepressor complex Tup1-Ssn6 regulates many classes of genes in yeast including cell type specific, glucose repressible, and DNA damage inducible. Tup1 and Ssn6 are recruited to target promoters through their interactions with specific DNA binding proteins such as α2, Mig1, and Crt1. Most promoters that are repressed by this corepressor complex exhibit a high degree of nucleosomal organization. This chromatin domain occludes transcription factor access to the promoter element resulting in gene repression. Previous work indicated that Tup1 interacts with underacetylated isoforms of H3 and H4, and that mutation of these histones synergistically compromises repression. These studies predict that Tup1-hypoacetyalted histone interaction is important to the repression mechanism, and in vivo hyperacetylation might compromise the corepressors ability to repress target genes. ^ One way to alter histone acetylation levels in vivo is to alter the balance between histone acetyltransferases and histone deacetylases. To date five histone deacetylases (HDACs) have been identified in yeast Rpd3, Hos1, Hos2, Hos3 and Hda1. Deletion of single or double HDAC genes had little to no effect on Tup1-Ssn6 repression, but simultaneous deletion of three specific activities Rpd3, Hos1, and Hos2 abolished repression in vivo. Promoter regions of Tup1-Ssn6 target genes in these triple deacetylase mutant cells are dramatically hyperacetylated in both H3 and H4. Examination of bulk histone acetylation levels showed that this specific HDAC triple mutant combination (rpd3 hos1 hos2) caused a dramatic and concomitant hyperacetylation of both H3 and H4. The loss of repression in the rpd3 hos1 hos2 cells, but not in other mutants, is consistent with previous observations, which indicate that histones provide redundant functions in the repression mechanism and that high levels of acetylation are required to prevent Tup1 binding. Investigation into a potential direct interaction between the Tup1-Ssn6 corepressor complex and one or more HDAC activities showed that both Rpd3 and Hos2 interact with the corepressor complex in vivo. These findings indicate that Tup1-Ssn6 repression involves the recruitment of histone deacetylase activities to target promoters, where they locally deacetylate histone residues promoting Tup1-histone tail interaction to initiate and/or maintain the repressed state. ^

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The major goal of this work was to understand the function of anionic phospholipid in E. coli cell metabolism. One important finding from this work is the requirement of anionic phospholipid for the DnaA protein-dependent initiation of DNA replication. An rnhA mutation, which bypasses the need for the DnaA protein through induction of constitutive stable DNA replication, suppressed the growth arrest phenotype of a $pgsA$ mutant in which the synthesis of anionic phospholipid was blocked. The maintenance of plasmids dependent on an $oriC$ site for replication, and therefore DnaA protein, was also compromised under conditions of limiting anionic phospholipid synthesis. These results provide support for the involvement of anionic phospholipids in normal initiation of DNA replication at oriC in vivo by the DnaA protein. In addition, structural and functional requirements of two major anionic phospholipids, phosphatidylglycerol and cardiolipin, were examined. Introduction into cells of the ability to make phosphatidylinositol did not suppress the need for the naturally occurring phosphatidylglycerol. The requirement for phosphatidylglycerol was concluded to be more than maintenance of the proper membrane surface charge. Examination of the role of cardiolipin revealed its ability to replace the zwitterionic phospholipid, phosphatidylethanolamine, in maintaining an optimal membrane lipid organization. This work also reported the DNA sequence of the cls gene, which encodes the CL synthase responsible for the synthesis of cardiolipin. ^

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ExxonMobil, a Fortune 500 oil and gas corporation, has a global workforce with employees assigned to projects in areas at risk for infectious diseases, particularly malaria. As such, the corporation has put in place a program to protect the health of workers and ensure their safety in malaria endemic zones. This program is called the Malaria Control Program (MCP). One component of this program is the more specific Malaria Chemoprophylaxis Compliance Program (MCCP), in which employees enroll following consent to random drug testing for compliance with the company's chemoprophylaxis requirements. Each year, data is gathered on the number of employees working in these locations and are selected randomly and tested for chemoprophylaxis compliance. The selection strives to test each eligible worker once per year. Test results that come back positive for the chemoprophylaxis drug are considered "detects" and tests that are negative for the drug and therefore show the worker is non-compliant at risk for severe malaria infection are considered "non-detect". ^ The current practice report used aggregate data to calculate statistics on test results to reflect compliance among both employees and contractors in various malaria-endemic areas. This aggregate, non-individualized data has been compiled and reflects the effectiveness and reach of ExxonMobil's Malaria Chemoprophylaxis Compliance Program. In order to assess compliance, information on the number of non-detect test results was compared to the number of tests completed per year. The data shows that over time, non-detect results have declined in both employee and contractor populations, and vary somewhat by location due to size and scope of the MCCP implemented in-country. Although the data indicate a positive trend for the corporation, some recommendations have been made for future implementation of the program.^

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High-throughput assays, such as yeast two-hybrid system, have generated a huge amount of protein-protein interaction (PPI) data in the past decade. This tremendously increases the need for developing reliable methods to systematically and automatically suggest protein functions and relationships between them. With the available PPI data, it is now possible to study the functions and relationships in the context of a large-scale network. To data, several network-based schemes have been provided to effectively annotate protein functions on a large scale. However, due to those inherent noises in high-throughput data generation, new methods and algorithms should be developed to increase the reliability of functional annotations. Previous work in a yeast PPI network (Samanta and Liang, 2003) has shown that the local connection topology, particularly for two proteins sharing an unusually large number of neighbors, can predict functional associations between proteins, and hence suggest their functions. One advantage of the work is that their algorithm is not sensitive to noises (false positives) in high-throughput PPI data. In this study, we improved their prediction scheme by developing a new algorithm and new methods which we applied on a human PPI network to make a genome-wide functional inference. We used the new algorithm to measure and reduce the influence of hub proteins on detecting functionally associated proteins. We used the annotations of the Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) as independent and unbiased benchmarks to evaluate our algorithms and methods within the human PPI network. We showed that, compared with the previous work from Samanta and Liang, our algorithm and methods developed in this study improved the overall quality of functional inferences for human proteins. By applying the algorithms to the human PPI network, we obtained 4,233 significant functional associations among 1,754 proteins. Further comparisons of their KEGG and GO annotations allowed us to assign 466 KEGG pathway annotations to 274 proteins and 123 GO annotations to 114 proteins with estimated false discovery rates of <21% for KEGG and <30% for GO. We clustered 1,729 proteins by their functional associations and made pathway analysis to identify several subclusters that are highly enriched in certain signaling pathways. Particularly, we performed a detailed analysis on a subcluster enriched in the transforming growth factor β signaling pathway (P<10-50) which is important in cell proliferation and tumorigenesis. Analysis of another four subclusters also suggested potential new players in six signaling pathways worthy of further experimental investigations. Our study gives clear insight into the common neighbor-based prediction scheme and provides a reliable method for large-scale functional annotations in this post-genomic era.

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Formation of the FtsZ ring (Z ring) in Escherichia coli is the first step in assembly of the divisome, a molecular machine composed of 14 known proteins which are all required for cell division. Although the biochemical functions of most divisome proteins are unknown, several of these have overlapping roles in ensuring that the Z ring assembles at the cytoplasmic membrane and is active. ^ We identified a single amino acid change in FtsA, R286W, renamed FtsA*, that completely bypasses the requirement for ZipA in cell division. This and other data suggest that FtsA* is a hyperactive form of FtsA that can replace the multiple functions normally assumed by ZipA, which include stabilization of Z rings, recruitment of downstream cell division proteins, and anchoring the Z ring to the membrane. This is the first example of complete functional replacement of an essential prokaryotic cell division protein by another. ^ Cells expressing ftsA* with a complete deletion of ftsK are viable and divide, although many of these ftsK null cells formed multiseptate chains, suggesting a role in cell separation for FtsK. In addition, strains expressing extra ftsAZ, ftsQ, ftsB, zipA or ftsN, were also able to survive and divide in the absence of ftsK. The cytoplasmic and transmembrane domains of FtsQ were sufficient to allow viability and septum formation to ftsK deleted strains. These findings suggest that FtsK is normally involved in stabilizing the divisome and shares functional overlap with other cell division proteins. ^ As well as permitting the removal of other divisome components, the presence of FtsA* in otherwise wild-type cells accelerated Z-ring assembly, which resulted in a significant decrease in the average length of cells. In support of its role in Z-ring stability, FtsA* suppressed the cell division inhibition caused by overexpressing FtsZ. FtsA* did not affect FtsZ turnover within the Z ring as measured by fluorescence recovery after photobleaching. Turnover of FtsA* in the ring was somewhat faster than wild-type FtsA. Yeast two-hybrid data suggest that FtsA* has an increased affinity for FtsZ relative to wild-type FtsA. These results indicate that FtsA* interacts with FtsZ more strongly, and its enhancement of Z ring assembly may explain why FtsA* can permit survival of cells lacking ZipA or FtsK.^

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Next-generation DNA sequencing platforms can effectively detect the entire spectrum of genomic variation and is emerging to be a major tool for systematic exploration of the universe of variants and interactions in the entire genome. However, the data produced by next-generation sequencing technologies will suffer from three basic problems: sequence errors, assembly errors, and missing data. Current statistical methods for genetic analysis are well suited for detecting the association of common variants, but are less suitable to rare variants. This raises great challenge for sequence-based genetic studies of complex diseases.^ This research dissertation utilized genome continuum model as a general principle, and stochastic calculus and functional data analysis as tools for developing novel and powerful statistical methods for next generation of association studies of both qualitative and quantitative traits in the context of sequencing data, which finally lead to shifting the paradigm of association analysis from the current locus-by-locus analysis to collectively analyzing genome regions.^ In this project, the functional principal component (FPC) methods coupled with high-dimensional data reduction techniques will be used to develop novel and powerful methods for testing the associations of the entire spectrum of genetic variation within a segment of genome or a gene regardless of whether the variants are common or rare.^ The classical quantitative genetics suffer from high type I error rates and low power for rare variants. To overcome these limitations for resequencing data, this project used functional linear models with scalar response to develop statistics for identifying quantitative trait loci (QTLs) for both common and rare variants. To illustrate their applications, the functional linear models were applied to five quantitative traits in Framingham heart studies. ^ This project proposed a novel concept of gene-gene co-association in which a gene or a genomic region is taken as a unit of association analysis and used stochastic calculus to develop a unified framework for testing the association of multiple genes or genomic regions for both common and rare alleles. The proposed methods were applied to gene-gene co-association analysis of psoriasis in two independent GWAS datasets which led to discovery of networks significantly associated with psoriasis.^

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The four basic helix-loop-helix myogenic transcription factors, myogenin, Myf5, MRF4, and MyoD are critical for embryonic skeletal muscle development. Myogenin is necessary for the terminal differentiation of myoblasts into myofibers during embryogenesis, but little is known about the roles played by myogenin in adult skeletal muscle function and metabolism. Furthermore, while metabolism is a well-studied physiological process, how it is regulated at the transcriptional level remains poorly understood. In this study, my aim was to determine the function of myogenin in adult skeletal muscle metabolism, exercise capacity, and regeneration. To investigate this, I utilized a mouse strain harboring the Myogflox allele and a Cre recombinase transgene, enabling the efficient deletion of myogenin in the adult mouse. Myogflox/flox mice were stressed physically through involuntary treadmill running and by breeding them with a strain harboring the Duchenne’s muscular dystrophy (DMDmdx) allele. Surprisingly, Myog-deleted animals exhibited an enhanced capacity for exercise, running farther and faster than their wild-type counterparts. Increased lactate production and utilization of glucose as a fuel source indicated that Myog-deleted animals exhibited an increased glycolytic flux. Hypoglycemic Myog-deleted mice no longer possessed the ability to outrun their wild-type counterparts, implying the ability of these animals to further deplete their glucose reserves confers their enhanced exercise capacity. Moreover, Myog-deleted mice exhibited an enhanced response to long-term exercise training. The mice developed a greater proportion of type 1 oxidative muscle fibers, and displayed increased levels of succinate dehydrogenase activity, indicative of increased oxidative metabolism. Mdx:Myog-deleted mice exhibited a similar phenotype, outperforming their mdx counterparts, although lagging behind wild-type animals. The morphology of muscle tissue from mdx:Myog-deleted mice appears to mimic that of mdx animals, indicating that myogenin is dispensable for adult skeletal muscle regeneration. Through global gene expression profiling and quantitative (q)RT-PCR, I identified a unique set of putative myogenin-dependent genes involved in regulating metabolic processes. These data suggest myogenin’s functions during adulthood are distinctly different than those during embryogenesis, and myogenin acts as a high-level transcription factor regulating metabolic activity in adult skeletal muscle.

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While prior studies have focused on naïve (CD45RA+CD27+) and early stage memory (CD45RA-CD27+) CD8+ T cells, late memory CD8+ T cells (CD45RA+CD27) have received less interest because this subset of T cells is generally recognized as effectors, which produce IFNγ (but no IL-2) and perforin. However, multiple studies suggest that late memory CD8+ T cells may provide inadequate protection in infectious diseases and cancer models. To better understand the unique function of late memory CD8+ T cells, I optimized multi-color flow cytometry techniques to assess the cytokine production of each human CD8+ T cell maturation subset. I demonstrated that late memory CD8+ T cells are the predominant producer of CC chemokines (e.g. MIP-1β), but rarely produce IL-2; therefore they do not co-produce IL-2/IFNγ (polyfunctionality), which has been shown to be critical for protective immunity against chronic viral infection. These data suggest that late memory CD8+ T cells are not just cytotoxic effectors, but may have unique functional properties. Determining the molecular signature of each CD8+ T cell maturation subset will help characterize the role of late memory CD8+ T cells. Prior studies suggest that ERK1 and ERK2 play a role in cytokine production including IL-2 in T cells. Therefore, I tested whether differential expression of ERK1 and ERK2 in CD8+ T cell maturation subsets contributes to their functional signature by a novel flow cytometry technique. I found that the expression of total ERK1, but not ERK2, is significantly diminished in late memory CD8+ T cells and that ERK1 expression is strongly associated with IL-2 production and CD28 expression. I also found that IL-2 production is increased in late memory CD8+ T cells by over-expressing ERK1. Collectively, these data suggest that ERK1 is required for IL-2 production in human CD8+ T cells. In summary, this dissertation demonstrated that ERK1 is down-regulated in human late memory CD8+ T cells, leading to decreased production of IL-2. The data in this dissertation also suggested that the functional heterogeneity in human CD8+ T cell maturation subsets results from their differential ERK1 expression.

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Uptake through the dopamine transporter (DAT) represents the primary mechanism used to terminate dopaminergic transmission in brain. Although it is well known that dopamine (DA) taken up by the transporter is used to replenish synaptic vesicle stores for subsequent release, the molecular details of this mechanism are not completely understood. Here, we identified the synaptic vesicle protein synaptogyrin-3 as a DAT interacting protein using the split ubiquitin system. This interaction was confirmed through coimmunoprecipitation experiments using heterologous cell lines and mouse brain. DAT and synaptogyrin-3 colocalized at presynaptic terminals from mouse striatum. Using fluorescence resonance energy transfer microscopy, we show that both proteins interact in live neurons. Pull-down assays with GST (glutathione S-transferase) proteins revealed that the cytoplasmic N termini of both DAT and synaptogyrin-3 are sufficient for this interaction. Furthermore, the N terminus of DAT is capable of binding purified synaptic vesicles from brain tissue. Functional assays revealed that synaptogyrin-3 expression correlated with DAT activity in PC12 and MN9D cells, but not in the non-neuronal HEK-293 cells. These changes were not attributed to changes in transporter cell surface levels or to direct effect of the protein-protein interaction. Instead, the synaptogyrin-3 effect on DAT activity was abolished in the presence of the vesicular monoamine transporter-2 (VMAT2) inhibitor reserpine, suggesting a dependence on the vesicular DA storage system. Finally, we provide evidence for a biochemical complex involving DAT, synaptogyrin-3, and VMAT2. Collectively, our data identify a novel interaction between DAT and synaptogyrin-3 and suggest a physical and functional link between DAT and the vesicular DA system.

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Pepper (Capsicum annuum) serotonin N-hydroxycinnamoyltransferase (SHT) catalyzes the synthesis of N-hydroxycinnamic acid amides of serotonin, including feruloylserotonin and p-coumaroylserotonin. To elucidate the domain or the key amino acid that determines the amine substrate specificity, we isolated a tyramine N-hydroxycinnamoyltransferase (THT) gene from pepper. Purified recombinant THT protein catalyzed the synthesis of N-hydroxycinnamic acid amides of tyramine, including feruloyltyramine and p-coumaroyltyramine, but did not accept serotonin as a substrate. Both the SHT and THT mRNAs were found to be expressed constitutively in all pepper organs. Pepper SHT and THT, which have primary sequences that are 78% identical, were used as models to investigate the structural determinants responsible for their distinct substrate specificities and other enzymatic properties. A series of chimeric genes was constructed by reciprocal exchange of DNA segments between the SHT and THT cDNAs. Functional characterization of the recombinant chimeric proteins revealed that the amino acid residues 129 to 165 of SHT and the corresponding residues 125 to 160 in THT are critical structural determinants for amine substrate specificity. Several amino acids are strongly implicated in the determination of amine substrate specificity, in which glycine-158 is involved in catalysis and amine substrate binding and tyrosine-149 plays a pivotal role in controlling amine substrate specificity between serotonin and tyramine in SHT. Furthermore, the indisputable role of tyrosine is corroborated by the THT-F145Y mutant that uses serotonin as the acyl acceptor. The results from the chimeras and the kinetic measurements will direct the creation of additional novel N-hydroxycinnamoyltransferases from the various N-hydroxycinnamoyltransferases found in nature.

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Chondrocyte gene regulation is important for the generation and maintenance of cartilage tissues. Several regulatory factors have been identified that play a role in chondrogenesis, including the positive transacting factors of the SOX family such as SOX9, SOX5, and SOX6, as well as negative transacting factors such as C/EBP and delta EF1. However, a complete understanding of the intricate regulatory network that governs the tissue-specific expression of cartilage genes is not yet available. We have taken a computational approach to identify cis-regulatory, transcription factor (TF) binding motifs in a set of cartilage characteristic genes to better define the transcriptional regulatory networks that regulate chondrogenesis. Our computational methods have identified several TFs, whose binding profiles are available in the TRANSFAC database, as important to chondrogenesis. In addition, a cartilage-specific SOX-binding profile was constructed and used to identify both known, and novel, functional paired SOX-binding motifs in chondrocyte genes. Using DNA pattern-recognition algorithms, we have also identified cis-regulatory elements for unknown TFs. We have validated our computational predictions through mutational analyses in cell transfection experiments. One novel regulatory motif, N1, found at high frequency in the COL2A1 promoter, was found to bind to chondrocyte nuclear proteins. Mutational analyses suggest that this motif binds a repressive factor that regulates basal levels of the COL2A1 promoter.

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The aim of this research was to characterize the differentiative requirements of human CD8$\sp{+}$ suppressor lymphocytes. We investigated the role of monocytes in cellular interactions required for generation of T suppressor cells (Ts) in pokeweed mitogen (PWM) stimulated peripheral blood mononuclear cells (PBMC). We observed that the functional activity of CD8$\sp{+}$ T cells was dependent on the concentration of monocytes in the inductive cultures; at concentrations normally present in peripheral blood, PWM stimulation induced potent suppressor activity, whereas under conditions of moderate monocyte depletion the same phenotypic subset of CD8$\sp{+}$ cells enhanced responses. We also demonstrated that differentiation of CD8$\sp{+}$CD28$\sp{-}$ suppressor cells could be mediated by soluble products elaborated by monocytes and CD4$\sp{+}$ cells, identified as PGE$\sb2$ and IFN$\gamma$ respectively. These two signals were required sequentially to cause Ts induction. That is PGE$\sb2$ was required initially, followed by an IFN$\gamma$-dependent differentiative step. We also explored the possibility that PGE$\sb2$ caused modulation of the IFN$\gamma$ receptor number and/or affinity on CD8$\sp{+}$ cells, which might render these cells responsive to the differentiative effect of the IFN$\gamma$-signal. Using radiolabelled $\sp{125}$I-IFN$\gamma$, direct binding assays demonstrated that 10$\sp{-8}$M PGE$\sb2$ selectively increased the number of receptors on the CD8$\sp{+}$ cells. In contrast CD4$\sp{+}$ cells treated similarly exhibited no significant change in their number of IFN$\gamma$ receptors. These results, thus, suggest a relationship between PGE$\sb2$ induced expression of IFN$\gamma$ receptor and the initial requirement for PGE$\sb2$ in IFN$\gamma$-dependent differentiation of Ts cells. Together, our results suggest a crucial role for PGE$\sb2$ and IFN$\gamma$ in regulation of the immune response. Furthermore, such detailed definition of the differentiative requirements for CD8$\sp{+}$ suppressor cells should provide new insight into fundamental mechanisms of immunoregulation. ^

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Contraction of vertebrate cardiac muscle is regulated by the binding of Ca$\sp{2+}$ to the troponin C (cTnC) subunit of the troponin complex. In this study, we have used site-directed mutagenesis and a variety of assay techniques to explore the functional roles of regions in cTnC, including Ca$\sp{2+}$/Mg$\sp{2+}$-binding sites III and IV, the functionally inactive site I, the N-terminal helix, the N-terminal hydrophobic pocket and the two cysteine residues with regard to their ability to form disulfide bonds. Conversion of the first Ca$\sp{2+}$ ligand from Asp to Ala inactivated sites III and IV and decreased the apparent affinity of cTnC for the thin filament. Conversion of the second ligand from Asn to Ala also inactivated these sites in the free protein but Ca$\sp{2+}$-binding was recovered upon association with troponin I and troponin T. The Ca$\sp{2+}$-concentrations required for tight thin filament-binding by proteins containing second-ligand mutations were significantly greater than that required for the wild-type protein. Mutation of site I such that the primary sequence was that of an active site with the first Ca$\sp{2+}$ ligand changed from Asp to Ala resulted in a 70% decrease in maximal Ca$\sp{2\sp+}$ dependent ATPase activity in both cardiac and fast skeletal myofibrils. Thus, the primary sequence of the inactive site I in cTnC is functionally important. Major changes in the sequence of the N-terminus had little effect on the ability of cTnC to recover maximal activity but deletion of the first nine residues resulted in a 60 to 80% decrease in maximal activity with only a minor decrease in the pCa$\sb{50}$ of activation, suggesting that the N-terminal helix must be present but that a specific sequence is not required. The formation of an inter- or intramolecular disulfide bonds caused the exposure of hydrophobic surfaces on cTnC and rendered the protein Ca$\sp{2+}$ independent. Finally, elution patterns from a hydrophobic interactions column suggest that cTnC undergoes a significant change in hydrophobicity upon Ca$\sp{2+}$ binding, the majority of which is caused by site II. These latter data show an interesting correlation between exposure of hydrophobic surfaces on and activation of cTnC. Overall, these results represent significant progress toward the elucidation of the functional roles of a variety of structural regions in cTnC. ^

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Any functionally important mutation is embedded in an evolutionary matrix of other mutations. Cladistic analysis, based on this, is a method of investigating gene effects using a haplotype phylogeny to define a set of tests which localize causal mutations to branches of the phylogeny. Previous implementations of cladistic analysis have not addressed the issue of analyzing data from related individuals, though in human studies, family data are usually needed to obtain unambiguous haplotypes. In this study, a method of cladistic analysis is described in which haplotype effects are parameterized in a linear model which accounts for familial correlations. The method was used to study the effect of apolipoprotein (Apo) B gene variation on total-, LDL-, and HDL-cholesterol, triglyceride, and Apo B levels in 121 French families. Five polymorphisms defined Apo B haplotypes: the signal peptide Insertion/deletion, Bsp 1286I, XbaI, MspI, and EcoRI. Eleven haplotypes were found, and a haplotype phylogeny was constructed and used to define a set of tests of haplotype effects on lipid and apo B levels.^ This new method of cladistic analysis, the parametric method, found significant effects for single haplotypes for all variables. For HDL-cholesterol, 3 clusters of evolutionarily-related haplotypes affecting levels were found. Haplotype effects accounted for about 10% of the genetic variance of triglyceride and HDL-cholesterol levels. The results of the parametric method were compared to those of a method of cladistic analysis based on permutational testing. The permutational method detected fewer haplotype effects, even when modified to account for correlations within families. Simulation studies exploring these differences found evidence of systematic errors in the permutational method due to the process by which haplotype groups were selected for testing.^ The applicability of cladistic analysis to human data was shown. The parametric method is suggested as an improvement over the permutational method. This study has identified candidate haplotypes for sequence comparisons in order to locate the functional mutations in the Apo B gene which may influence plasma lipid levels. ^

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RecA in Escherichia coli and it's homologue, ScRad51 in Saccharomyces cerevisiae, play important roles in recombinational repair. ScRad51 homologues have been discovered in a wide range of organisms including Schizosaccharomyces pombe, lily, chicken, mouse and human. To date there is no direct evidence to describe that mouse Rad51(MmRad51) is involved in DNA double-strand break repair. In order to elucidate the role of MmRad51 in vivo, it was mutated by the embryonic stem (ES) cell/gene targeting technology in mice. The mutant embryos arrested in development shortly after implantation. There was a decrease in cell proliferation followed by programmed cell death, and trophectoderm-derived cells were sensitive to $\gamma$-radiation. Severe chromosome loss was observed in most mitotically dividing cells. The mutant embryos lived longer and developed further in a p53 mutant background; however, double-mutant embryonic fibroblasts failed to proliferate in tissue culture, reflecting the embryos limited life span. Based on these data, MmRad51 repairs DNA damage induced by $\gamma$-radiation, is needed to maintain euplody, and plays an important role in proliferating cells.^ Ku is a heterodimer of 70 and 80 kDs subunit, which binds to DNA ends and other altered DNA structures such as hairpins, nicks, and gaps. In addition, Ku is required for DNA-PK activity through a direct association. Although the biochemical properties of Ku and DNA-PKcs have been characterized in cells, their physiological functions are not clear. In order to understand the function of Ku in vivo, we generated mice homozygous for a mutation of the Ku80 gene. Ku80-deficient mice, like scid mice, showed severe immunodeficiency due to a impairment of V(D)J recombination. Mutant mice were semiviable and runted, cells derived from mutant embryos displayed hypersensitivity to $\gamma$-radiation, a decreased growth rate, a slow entry into S phase, altered colony size distributions, and a short life span. Based on these results, mutant cells and mice appeared to prematurely age. ^