27 resultados para genetics and DNA sequencing
em DigitalCommons@The Texas Medical Center
Resumo:
DNA ligase and DNA polymerase play important roles in DNA replication, repair, and recombination. Frequencies of spontaneous and chemical- and physical-induced mutations are correlated to the fidelity of DNA replication. This dissertation elucidates the mechanisms of the DNA ligation reaction by DNA ligases and demonstrates that human DNA ligase I and DNA polymerase $\alpha$ are the molecular targets for two metal ions, Zn$\sp{2+}$ and Cd$\sp{2+},$ and an anticancer drug, F-ara-ATP.^ Human DNA ligases were purified to homogeneity and their AMP binding domains were mapped. Although their AMP-binding domains are similar, there could be difference between the two ligases in their DNA binding domains.^ The formation of the AMP-DNA intermediate and the successive ligation reaction by human DNA ligases were analyzed. Both reactions showed their substrate specificity for ligases I and II, required Mg2+, and were inhibited by ATP.^ A protein inhibitor from HeLa cells and specific for human DNA ligase I but not ligase II and T4 ligase was discovered. It reversibly inhibited DNA ligation activity but not the AMP-binding activity due to the formation of a reversible ligase I-inhibitor complex.^ F-ara-ATP inhibited human DNA ligase I activity by competing with ATP for the AMP-binding site of DNA ligase I, forming a ligase I-F-ara-AMP complex, as well as when it was incorporated at 3$\sp\prime$-terminus of DNA nick by DNA polymerase $\alpha.$^ All steps of the DNA ligation reaction were inhibited by Zn$\sp{2+}$ and Cd$\sp{2+}$ in a concentration-dependent manner. Both ions did not show the ability to change the fidelity of DNA ligation reaction catalyzed by human DNA ligase I. However, Zn$\sp{2+}$ and Cd$\sp{2+}$ showed their contradictory effects on the fidelity of the reaction by human DNA polymerase $\alpha.$ Zn$\sp{2+}$ decreased the frequency of misinsertion but less affected that of mispair extension. On the contrary, Cd$\sp{2+}$ increased the frequencies of both misinsertion and mispair extension at very low concentration. Our data provided strong evidence in the molecular mechanisms for the mutagenicity of zinc and cadmium, and were comparable with the results previously reported. ^
Resumo:
A clone of the primary Eco R1 family of human DNA sequences has been used as an indicator sequence for detecting alterations induced by a toxic agent. Specific clones of this family have been examined and compared to the consensus sequence to determine the normal variability of this family. Though variations were observed, data indicated that such clones can be used to study induced DNA modifications. This DNA was exposed to the toxic agent dimethyl sulfate under various conditions and a distinct pattern of aberrations was shown to occur. It is suggested that this approach be used to characterize patterns of damage induced by various agents in the ultimate development of a system capable of monitoring human genotoxic exposure. ^
Resumo:
To identify more mutations that can affect the early development of Myxococcus xanthus, the synthetic transposon TnT41 was designed and constructed. By virtue of its special features, it can greatly facilitate the processes of mutation screening/selection, mapping, cloning and DNA sequencing. In addition, it allows for the systematic discovery of genes in regulatory hierarchies using their target promoters. In this study, the minimal regulatory region of the early developmentally regulated gene 4521 was used as a reporter in the TnT41 mutagenesis. Both positive (P) mutations and negative (N) mutations were isolated based on their effects on 4521 expression.^ Four of these mutations, i.e. N1, N2, P52 and P54 were analyzed in detail. Mutations N1 and N2 are insertion mutations in a gene designated sasB. The sasB gene is also identified in this study by genetic and molecular analysis of five UV-generated 4521 suppressor mutations. The sasB gene encodes a protein without meaningful homology in the databases. The sasB gene negatively regulates 4521 expression possibly through the SasS-SasR two component system. A wild-type sasB gene is required for normal M. xanthus fruiting body formation and sporulation.^ Cloning and sequencing analysis of the P52 mutation led to the identification of an operon that encodes the M. xanthus high-affinity branched-chain amino acid transporter system. This liv operon consists of five genes designated livK, livH, livM, livC, and livF, respectively. The Liv proteins are highly similar to their counterparts from other bacteria in both amino acid sequences, functional motifs and predicted secondary structures. This system is required for development since liv null mutations cause abnormality in fruiting body formation and a 100-fold decrease in sporulation efficiency.^ Mutation P54 is a TnT41 insertion in the sscM gene of the ssc chemotaxis system, which has been independently identified by Dr. Shi's lab. The sscM gene encodes a MCP (methyl-accepting chemotaxis protein) homologue. The SscM protein is predicted to contain two transmembrane domains, a signaling domain and at least one putative methylation site. Null mutations of this gene abolish the aggregation of starving cells at a very early stage, though the sporulation levels of the mutant can reach 10% that of wild-type cells. ^
Resumo:
Native peoples of the New World, including Amerindians and admixed Latin Americans such as Mexican-Americans, are highly susceptible to diseases of the gallbladder. These include cholesterol cholelithiasis (gallstones) and its complications, as well as cancer of the gallbladder. Although there is clearly some necessary dietary or other environmental risk factor involved, the pattern of disease prevalence is geographically associated with the distribution of genes of aboriginal Amerindian origin, and levels of risk generally correspond to the degree of Amerindian admixture. This pattern differs from that generally associated with Westernization, which suggests a gene-environment interaction, and that within an admixed population there is a subset whose risk is underestimated when admixture is ignored. The risk that an individual of a susceptible New World genotype will undergo a cholecystectomy by age 85 can approach 40% in Mexican-American females, and their risk of gallbladder cancer can reach several percent. These are heretofore unrecognized levels of risk, especially of the latter, because previous studies have not accounted for admixture or for the loss of at-risk individuals due to cholecystectomy. A genetic susceptibility may, thus, be as "carcinogenic" in New World peoples as any known major environmental exposure; yet, while the risk has a genetic basis, its expression as gallbladder cancer is so delayed as to lead only very rarely to multiply-affected families. Estimates in this paper are derived in part from two studies of Mexican-Americans in Starr County and Laredo, Texas.
Resumo:
In this dissertation, the cytogenetic characteristics of bone marrow cells from 41 multiple myeloma patients were investigated. These cytogenetic data were correlated with the total DNA content as measured by flow cytometry. Both the cytogenetic information and DNA content were then correlated with clinical data to determine if diagnosis and prognosis of multiple myeloma could be improved.^ One hundred percent of the patients demonstrated abnormal chromosome numbers per metaphase. The average chromosome number per metaphase ranged from 42 to 49.9, with a mean of 44.99. The percent hypodiploidy ranged from 0-100% and the percent hyperdiploidy from 0-53%. Detailed cytogenetic analyses were very difficult to perform because of the paucity of mitotic figures and the poor chromosome morphology. Thus, detailed chromosome banding analysis on these patients was impossible.^ Thirty seven percent of the patients had normal total DNA content, whereas 63% had abnormal amounts of DNA (one patient with less than normal amounts and 25 patients with greater than normal amounts of DNA).^ Several clinical parameters were used in the statistical analyses: tumor burden, patient status at biopsy, patient response status, past therapy, type of treatment and percent plasma cells. Only among these clinical parameters were any statistically significant correlations found: pretreatment tumor burden versus patient response, patient biopsy status versus patient response and past therapy versus patient response.^ No correlations were found between percent hypodiploid, diploid, hyperdiploid or DNA content, and the patient response status, nor were any found between those patients with: (a) normal plasma cells, low pretreatment tumor mass burden and more than 50% of the analyzed metaphases with 46 chromosomes; (b) normal amounts of DNA, low pretreatment tumor mass burden and more than 50% of the metaphases with 46 chromosomes; (c) normal amounts of DNA and normal quantities of plasma cells; (d) abnormal amounts of DNA, abnormal amounts of plasma cells, high pretreatment tumor mass burden and less than 50% of the metaphases with 46 chromosomes.^ Technical drawbacks of both cytogenetic and DNA content analysis in these multiple myeloma patients are discussed along with the lack of correlations between DNA content and chromosome number. Refined chromosome banding analysis awaits technical improvements before we can understand which chromosome material (if any) makes up the "extra" amounts of DNA in these patients. None of the correlations tested can be used as diagnostic or prognostic aids for multiple myeloma. ^
Resumo:
Many eukaryotic promoters contain a CCAAT element at a site close ($-$80 to $-$120) to the transcription initiation site. CBF (CCAAT Binding Factor), also called NF-Y and CP1, was initially identified as a transcription factor binding to such sites in the promoters of the Type I collagen, albumin and MHC class II genes. CBF is a heteromeric transcription factor and purification and cloning of two of the subunits, CBF-A and CBF-B revealed that it was evolutionarily conserved with striking sequence identities with the yeast polypeptides HAP3 and HAP2, which are components of a CCAAT binding factor in yeast. Recombinant CBF-A and CBF-B however failed to bind to DNA containing CCAAT sequences. Biochemical experiments led to the identification of a third subunit, CBF-C which co-purified with CBF-A and complemented the DNA binding of recombinant CBF-A and CBF-B. We have recently isolated CBF-C cDNAs and have shown that bacterially expressed purified CBF-C binds to CCAAT containing DNA in the presence of recombinant CBF-A and CBF-B. Our experiments also show that a single molecule each of all the three subunits are present in the protein-DNA complex. Interestingly, CBF-C is also evolutionarily conserved and the conserved domain between CBF-C and its yeast homolog HAP5 is sufficient for CBF-C activity. Using GST-pulldown experiments we have demonstrated the existence of protein-protein interaction between CBF-A and CBF-C in the absence of CBF-B and DNA. CBF-B on other hand, requires both CBF-A and CBF-C to form a ternary complex which then binds to DNA. Mutational studies of CBF-A have revealed different domains of the protein which are involved in CBF-C interaction and CBF-B interaction. In addition, CBF-A harbors a domain which is involved in DNA recognition along with CBF-B. Dominant negative analogs of CBF-A have also substantiated our initial observation of assembly of CBF subunits. Our studies define a novel DNA binding structure of heterotrimeric CBF, where the three subunits of CBF follow a particular pathway of assembly of subunits that leads to CBF binding to DNA and activating transcription. ^
Resumo:
Nitric oxide is involved in a multitude of processes including regulation of vascular tone, neurotransmission, immunity, and cancer. Evidence suggests that nitric oxide exhibits anti-apoptotic activity in melanoma cells. Our laboratory showed that tumor expression of inducible nitric oxide synthase correlated strongly with poor survival in stage III and IV melanoma patients, suggesting an antagonistic role for nitric oxide in melanoma response to therapy. Therefore, the hypothesis that endogenously produced nitric oxide antagonizes chemotherapy-induced apoptosis was formed. Using cisplatin as a model for DNA damage in melanoma cell lines, the capacity of nitric oxide to regulate cell growth and apoptotic responses to cisplatin treatment was examined. The depletion of endogenously generated nitric oxide resulted in changes in cell cycle regulation and enhanced cisplatin-induced apoptosis in melanoma cells. Since nitric oxide was shown to be involved in the regulation of p53 stability, conformation and DNA binding activity, whether signaling through wild-type p53 in melanoma cells is regulated by nitric oxide was tested. Cisplatin-induced p53 accumulation and p21Waf1/Cip1/Sdi1 expression in nitric oxide-depleted melanoma cells were found to be strongly suppressed. When p53 binding to the p21Waf1/Cip1/Sdi1 promoter was examined, it was found that nitric oxide depletion significantly reduced the cisplatin-induced formation of p53-DNA complexes. These results suggest that nitric oxide is required for activation of wild-type p53 after DNA damage in melanoma cells. Finally, whether signaling through p53 controls melanoma response to DNA damage was examined. Transfection of a plasmid containing a dominant negative form of mutated p53 inhibited p21 Waf1/Cip1/Sdi1 expression and concomitantly enhanced apoptosis after cisplatin treatment. These data suggest that the induction of wild-type p53 protects melanoma cells against DNA damage via the up-regulation of p21 Waf1/Cip1/Sdi1. Together, these data strongly support the model that endogenous nitric oxide is required for p53 activation and p21Waf1/Cip1/Sdi1 expression after DNA damage, which can enhance melanoma resistance to therapy. Thus, in context of melanoma cells with wild-type p53 , low levels of endogenous constitutively-produced nitric oxide appear to facilitate the activation of p53 in response to DNA damage, thereby allowing for cell cycle arrest via p21Waf1/Cip1/Sdi1 induction, adequate DNA repair, and ultimately enhanced resistance to apoptosis. ^
Resumo:
Musculoskeletal infections are infections of the bone and surrounding tissues. They are currently diagnosed based on culture analysis, which is the gold standard for pathogen identification. However, these clinical laboratory methods are frequently inadequate for the identification of the causative agents, because a large percentage (25-50%) of confirmed musculoskeletal infections are false negatives in which no pathogen is identified in culture. My data supports these results. The goal of this project was to use PCR amplification of a portion of the 16S rRNA gene to test an alternative approach for the identification of these pathogens and to assess the diversity of the bacteria involved. The advantages of this alternative method are that it should increase sample sensitivity and the speed of detection. In addition, bacteria that are non-culturable or in low abundance can be detected using this molecular technique. However, a complication of this approach is that the majority of musculoskeletal infections are polymicrobial, which prohibits direct identification from the infected tissue by DNA sequencing of the initial 16S rDNA amplification products. One way to solve this problem is to use denaturing gradient gel electrophoresis (DGGE) to separate the PCR products before DNA sequencing. Denaturing gradient gel electrophoresis (DGGE) separates DNA molecules based on their melting point, which is determined by their DNA sequence. This analytical technique allows a mixture of PCR products of the same length that electrophoreses through agarose gels as one band, to be separated into different bands and then used for DNA sequence analysis. In this way, the DGGE allows for the identification of individual bacterial species in polymicrobial-infected tissue, which is critical for improving clinical outcomes. By combining the 16S rDNA amplification and the DGGE techniques together, an alternative approach for identification has been used. The 16S rRNA gene PCR-DGGE method includes several critical steps: DNA extraction from tissue biopsies, amplification of the bacterial DNA, PCR product separation by DGGE, amplification of the gel-extracted DNA, and DNA sequencing and analysis. Each step of the method was optimized to increase its sensitivity and for rapid detection of the bacteria present in human tissue samples. The limit of detection for the DNA extraction from tissue was at least 20 Staphylococcus aureus cells and the limit of detection for PCR was at least 0.05 pg of template DNA. The conditions for DGGE electrophoreses were optimized by using a double gradient of acrylamide (6 – 10%) and denaturant (30-70%), which increased the separation between distinct PCR products. The use of GelRed (Biotium) improved the DNA visualization in the DGGE gel. To recover the DNA from the DGGE gels the gel slices were excised, shredded in a bead beater, and the DNA was allowed to diffuse into sterile water overnight. The use of primers containing specific linkers allowed the entire amplified PCR product to be sequenced and then analyzed. The optimized 16S rRNA gene PCR-DGGE method was used to analyze 50 tissue biopsy samples chosen randomly from our collection. The results were compared to those of the Memorial Hermann Hospital Clinical Microbiology Laboratory for the same samples. The molecular method was congruent for 10 of the 17 (59%) culture negative tissue samples. In 7 of the 17 (41%) culture negative the molecular method identified a bacterium. The molecular method was congruent with the culture identification for 7 of the 33 (21%) positive cultured tissue samples. However, in 8 of the 33 (24%) the molecular method identified more organisms. In 13 of the 15 (87%) polymicrobial cultured tissue samples the molecular method identified at least one organism that was also identified by culture techniques. Overall, the DGGE analysis of 16S rDNA is an effective method to identify bacteria not identified by culture analysis.
Resumo:
Mycobacterium tuberculosis, a bacillus known to cause disease in humans since ancient times, is the etiological agent of tuberculosis (TB). The infection is primarily pulmonary, although other organs may also be affected. The prevalence of pulmonary TB disease in the US is highest along the US-Mexico border, and of the four US states bordering Mexico, Texas had the second highest percentage of cases of TB disease among Mexico-born individuals in 1999 (CDC, 2001). Between the years of 1993 and 1998, the prevalence of drug-resistant (DR) TB was 9.1% among Mexican-born individuals and 4.4% among US-born individuals (CDC, 2001). In the same time period, the prevalence of multi-drug resistant (MDR) TB was 1.4% among Mexican-born individuals and 0.6% among US-born individuals (CDC, 2001). There is a renewed urgency in the quest for faster and more effective screening, diagnosis, and treatment methods for TB due to the resurgence of tuberculosis in the US during the mid-1980s and early 1990s (CDC, 2007a), and the emergence of drug-resistant, multidrug-resistant, and extremely drug-resistant tuberculosis worldwide. Failure to identify DR and MDR-TB quickly leads to poorer treatment outcomes (CDC, 2007b). The recent rise in TB/HIV comorbidity further complicates TB control efforts. The gold standard for identification of DR-TB requires mycobacterial growth in culture, a technique taking up to three weeks, during which time DR/MDR-TB individuals harboring resistant organisms may be receiving inappropriate treatment. The goal of this study was to determine the sensitivity and specificity of real-time quantitative polymerase chain reaction (qPCR) using molecular beacons in the Texas population. qPCR using molecular beacons is a novel approach to detect mycobacterial mutations conferring drug resistance. This technique is time-efficient and has been shown to have high sensitivity and specificity in several populations worldwide. Rifampin (RIF) susceptibility was chosen as the test parameter because strains of M. tuberculosis which are resistant to RIF are likely to also be MDR. Due to its status as a point of entry for many immigrants into the US, control efforts against TB and drug-resistant TB in Texas is a vital component of prevention efforts in the US as a whole. We show that qPCR using molecular beacons has high sensitivity and specificity when compared with culture (94% and 87%, respectively) and DNA sequencing (90% and 96%, respectively). We also used receiver operator curve analysis to calculate cutoff values for the objective determination of results obtained by qPCR using molecular beacons. ^
Resumo:
Mammalian COP9 signalosome, which connects signaling with the ubiquitin-mediated proteasome degradation pathway, is implicated in cell cycle regulation and DNA damage response. However, whether COP9 is dysregulated in cancers has not been well established. Here, we showed that COP9 subunit 6 (CSN6) was upregulated in malignant breast and thyroid tumors and positively correlated with MDM2 expression. Investigation of the underlying mechanism suggested that CSN6 stabilized MDM2, thereby accelerating the degradation of p53. We generated mice carrying a targeted disruption of the Csn6 gene, and found that the mice with both alleles disrupted (Csn6-/- ) died in early embryogenesis (E7.5). Csn6+/- mice were sensitized to undergo γ-radiation-induced p53-dependent apoptosis in both thymus and developing central nervous system. Consequently. Csn6 +/- mice were more susceptible to the lethal effects of high-dose γ-radiation than wild-type mice. Notably, Csn6+/- mice were less susceptible to γ-radiation-induced tumorigenesis and had better long-term survival after low-dose γ-radiation exposure compared with wild-type animals, indicating that loss of CSN6 enhanced p53-mediated tumor suppression in vivo. In summary, the regulation of MDM2-p53 signaling by CSN6 plays a significant role in DNA damage-mediated apoptosis and tumorigenesis, which suggests that CSN6 may potentially be a valuable diagnostic marker for cancers with a dysregulated MDM2-p53 axis. ^
Resumo:
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.^
Resumo:
Nonsyndromic cleft lip with or without cleft palate (NSCLP) is a common birth defect with a multifactorial etiology. Despite decades of research, the genetic underpinnings of NSCLP still remain largely unexplained. A genome wide association study (GWAS) of a large NSCLP African American family with seven affected individuals across three generations found evidence for linkage at 8q21.3-24.12 (LOD = 2.98). This region contained three biologically relevant candidate genes: Frizzled-6 (FZD6) (LOD = 2.8), Matrilin-2 (MATN2) (LOD = 2.3), and Solute Carrier Family 25, Member 32 (SLC26A32) (LOD = 1.6). Sequencing of the coding regions and the 5’ and 3’ UTRs of these genes in two affected family members identified a rare intronic variant, rs138557689 (c.-153+432A>C), in FZD6. The rs138557689/C allele segregated with the NSCLP phenotype; in silico analysis predicted and EMSA analysis showed that the 138557689/C allele creates new DNA binding sites. FZD6 is part of the WNT pathway, which is involved in craniofacial development, including midface development and upper lip fusion. Our novel findings suggest that an alteration in FZD6 gene regulation may perturb this tightly controlled biological pathway and in turn contribute to the development of NSCLP in this family. Studies are underway to further define how the rs138557689/C variant affects expression of FZD6.
Resumo:
My dissertation focuses on two aspects of RNA sequencing technology. The first is the methodology for modeling the overdispersion inherent in RNA-seq data for differential expression analysis. This aspect is addressed in three sections. The second aspect is the application of RNA-seq data to identify the CpG island methylator phenotype (CIMP) by integrating datasets of mRNA expression level and DNA methylation status. Section 1: The cost of DNA sequencing has reduced dramatically in the past decade. Consequently, genomic research increasingly depends on sequencing technology. However it remains elusive how the sequencing capacity influences the accuracy of mRNA expression measurement. We observe that accuracy improves along with the increasing sequencing depth. To model the overdispersion, we use the beta-binomial distribution with a new parameter indicating the dependency between overdispersion and sequencing depth. Our modified beta-binomial model performs better than the binomial or the pure beta-binomial model with a lower false discovery rate. Section 2: Although a number of methods have been proposed in order to accurately analyze differential RNA expression on the gene level, modeling on the base pair level is required. Here, we find that the overdispersion rate decreases as the sequencing depth increases on the base pair level. Also, we propose four models and compare them with each other. As expected, our beta binomial model with a dynamic overdispersion rate is shown to be superior. Section 3: We investigate biases in RNA-seq by exploring the measurement of the external control, spike-in RNA. This study is based on two datasets with spike-in controls obtained from a recent study. We observe an undiscovered bias in the measurement of the spike-in transcripts that arises from the influence of the sample transcripts in RNA-seq. Also, we find that this influence is related to the local sequence of the random hexamer that is used in priming. We suggest a model of the inequality between samples and to correct this type of bias. Section 4: The expression of a gene can be turned off when its promoter is highly methylated. Several studies have reported that a clear threshold effect exists in gene silencing that is mediated by DNA methylation. It is reasonable to assume the thresholds are specific for each gene. It is also intriguing to investigate genes that are largely controlled by DNA methylation. These genes are called “L-shaped” genes. We develop a method to determine the DNA methylation threshold and identify a new CIMP of BRCA. In conclusion, we provide a detailed understanding of the relationship between the overdispersion rate and sequencing depth. And we reveal a new bias in RNA-seq and provide a detailed understanding of the relationship between this new bias and the local sequence. Also we develop a powerful method to dichotomize methylation status and consequently we identify a new CIMP of breast cancer with a distinct classification of molecular characteristics and clinical features.