Mutagenicity of herpes simplex virus type 1 in a shuttle vector

The shuttle vector plasmid pZ189 was used to find the kinds of mutations that are induced by herpes simplex virus type-1 (HSV-1). In cells infected by HSV-1 the frequency of mutation in supF gene, the mutagenesis marker, was increased over background by from two- to seven-fold, reaching 0.14-0.45%. No increase was induced by infection by vaccinia virus under the same conditions. Mutagenesis was an early event, showing a four-fold increase in mutation frequency at only two hours after infection, and peaking at a seven-fold increase at four hours after infection. DNA sequencing and gel electrophoresis analysis were performed on 105 HSV-1 induced mutants and 65 spontaneous mutants and provided the following information: (1) A change in plasmid size was seen in 54% of HSV-1 related mutants, compared with only 37% of spontaneous mutants. (2) Among point mutations, the predominant type was G:C to A:T transition, which accounted for 51% of point mutations in mutants isolated from cells infected with HSV-1, and 32% of point mutations in spontaneous mutants. (3) Deletions of DNA were seen in HSV-1 related mutants at a frequency of 40%, compared with 29% in spontaneous mutants. The HSV-1 related deletions were about half the length of spontaneous mutants and three contained short filler sequences. (4) Fifteen (15%) of HSV-1 induced mutants revealed the altered restriction patterns on agarose gel electrophoresis analysis and were due either to rearrangements of plasmid DNA, and/or to insertion of sequences derived from chromosomal DNA (seven plasmids). No insertions of DNA from HSV-1 were detected. Among spontaneous mutants, only 5 (7.7%) were rearrangements and none had inserted chromosomal DNA. (5) DNA sequence analysis of seven plasmids with inserted chromosomal DNA revealed that four cases had repetitive DNA sequences integrated and the other three were unidentified sequences from the GenBank database. Three repetitive DNA included $\alpha$ satellite, Alu and KpnI family sequences. The other sequence was identified as tRNA-like component. The observed mutations have implications for the mechanism of malignant transformation of cells by HSV-1. ^

Isolation, characterization and functional analysis of the {\it xnf7\/} gene from {\it Xenopus laevis\/}

A fundamental problem in developmental biology concerns the mechanisms involved in the establishment of the embryonic axis. We are studying Xenopus nuclear factor 7 (xnf7) which we believe to be involved in dorsal-ventral patterning in Xenopus laevis. Xnf7 is a maternal gene product that is retained in the cytoplasm during early embryogenesis until the mid-blastula transition (MBT) when it reenters the nuclei. It is a member of a novel zinc finger proteins, the B-box family, consisting mainly of transcription factors and protooncogenes.^ The xnf7 gene is reexpressed during embryogenesis at the gastrula-neurula stage of development, with its zygotic expression limited to the central nervous system (CNS). In this study we showed that there are two different cDNAs coding for xnf7, xnf7-O and xnf7-B. They differ by 39 amino acid changes scattered throughout the cDNA. The expression of both forms of xnf7 is limited primarily to the central nervous system (CNS) and dorsal axial structures during later stages of embryogenesis.^ In order to study the spatial and temporal regulation of the gene, we screened a Xenopus genomic library using part of xnf7 cDNA as a probe. A genomic clone corresponding to the xnf7-O type was isolated, its 5$\sp\prime$ putative regulatory region sequenced, and its transcriptional initiation site mapped. The putative promoter region contained binding sites for Sp1, E2F, USF, a Pu box and AP1. CAT/xnf7 fusion genes were constructed containing various 5$\sp\prime$ deleted regions of the xnf7 promoter linked to a CAT (Chloramphenicol Acetyl Transferase) reporter vector. These constructs were injected into Xenopus oocytes and embryos to study the regions of the xnf7 promoter responsible for basal, temporal and spatial regulation of the gene. The activity of the fusion genes was measured by the conversion of chloramphenicol to its acetylated forms, and the spatial distribution of the transcripts by whole mount in situ hybridization. We showed that the elements involved in basal regulation of xnf7 lie within 121 basepairs upstream of the transcriptional inititiation site. A DNase I footprint analysis performed using oocyte extract showed that a E2F and 2 Sp1 sites were protected. During development, the fusion genes were expressed following the MBT, in accordance with the timing of the endogenous xnf7 gene. Spatially, the expression of the fusion gene containing 421 basepairs of the promoter was localized to the dorsal region of the embryo in a pattern that was almost identical to that detected with the endogenous transcripts. Therefore, the elements involved in spatial and temporal regulation of the xnf7 gene during development were contained within 421 basepairs upstream of the transcriptional initiation site. Future work will further define the elements involved in the spatial and temporal regulation and the trans-factors that interact with them. ^

Transcriptional regulation and functional analysis of the human Wilms' tumor 1 gene

The Wilms' tumor 1 gene (WT1) encodes a zinc-finger transcription factor and is expressed in urogenital, hematopoietic and other tissues. It is expressed in a temporal and spatial manner in both embryonic and adult stages. To obtain a better understanding of the biological function of WT1, we studied two aspects of WT1 regulation: one is the identification of tissue-specific cis-regulatory elements that regulate its expression, the other is the downstream genes which are modulated by WT1.^ My studies indicate that in addition to the promoter, other regulatory elements are required for the tissue specific expression of this gene. A 259-bp hematopoietic specific enhancer in intron 3 of the WT1 gene increased the transcriptional activity of the WT1 promoter by 8- to 10-fold in K562 and HL60 cells. Sequence analysis revealed both GATA and c-Myb motifs in the enhancer fragment. Mutation of the GATA motif decreased the enhancer activity by 60% in K562 cells. Electrophoretic mobility shift assays showed that both GATA-1 and GATA-2 proteins in K562 nuclear extracts bind to this motif. Cotransfection of the enhancer containing reporter construct with a GATA-1 or GATA-2 expression vector showed that both GATA-1 and GATA-2 transactivated this enhancer, increasing the CAT reporter activity 10-15 fold and 5-fold respectively. Similar analysis of the c-Myb motif by cotransfection with the enhancer CAT reporter construct and a c-Myb expression vector showed that c-Myb transactivated the enhancer by 5-fold. A DNase I-hypersensitive site has been identified in the 258 bp enhancer region. These data suggest that GATA-1 and c-Myb are responsible for the activity of this enhancer in hematopoietic cells and may bind to the enhancer in vivo. In the process of searching for cis-regulatory elements in transgenic mice, we have identified a 1.0 kb fragment that is 50 kb downstream from the promoter and is required for the central nervous system expression of WT1.^ In the search for downstream target genes of WT1, we noted that the proto-oncogene N-myc is coexpressed with the tumor suppressor gene WT1 in the developing kidney and is overexpressed in many Wilms' tumors. Sequence analysis revealed eleven consensus WT1 binding sites located in the 1 kb mouse N-myc promoter. We further showed that the N-myc promoter was down-regulated by WT1 in transient transfection assays. Electrophoretic mobility shift assays showed that oligonucleotides containing the WT1 motifs could bind WT1 protein. Furthermore, a Denys-Drash syndrome mutant of WT1, R394W, that has a mutation in the DNA binding domain, failed to repress the N-myc promoter. This suggests that the repression of the N-myc promoter is mediated by DNA binding of WT1. This finding helps to elucidate the relationship of WT1 and N-myc in tumorigenesis and renal development. ^

Time-Series Panel Analysis (TSPA): Multivariate Modeling of Temporal Associations in Psychotherapy Process.

Objective: Processes occurring in the course of psychotherapy are characterized by the simple fact that they unfold in time and that the multiple factors engaged in change processes vary highly between individuals (idiographic phenomena). Previous research, however, has neglected the temporal perspective by its traditional focus on static phenomena, which were mainly assessed at the group level (nomothetic phenomena). To support a temporal approach, the authors introduce time-series panel analysis (TSPA), a statistical methodology explicitly focusing on the quantification of temporal, session-to-session aspects of change in psychotherapy. TSPA-models are initially built at the level of individuals and are subsequently aggregated at the group level, thus allowing the exploration of prototypical models. Method: TSPA is based on vector auto-regression (VAR), an extension of univariate auto-regression models to multivariate time-series data. The application of TSPA is demonstrated in a sample of 87 outpatient psychotherapy patients who were monitored by postsession questionnaires. Prototypical mechanisms of change were derived from the aggregation of individual multivariate models of psychotherapy process. In a 2nd step, the associations between mechanisms of change (TSPA) and pre- to postsymptom change were explored. Results: TSPA allowed a prototypical process pattern to be identified, where patient's alliance and self-efficacy were linked by a temporal feedback-loop. Furthermore, therapist's stability over time in both mastery and clarification interventions was positively associated with better outcomes. Conclusions: TSPA is a statistical tool that sheds new light on temporal mechanisms of change. Through this approach, clinicians may gain insight into prototypical patterns of change in psychotherapy.

Measurement of the cross-section of high transverse momentum vector bosons reconstructed as single jets and studies of jet substructure in pp collisions at √s = 7 TeV with the ATLAS detector

This paper presents a measurement of the cross-section for high transverse momentum W and Z bosons produced in pp collisions and decaying to allhadronic final states. The data used in the analysis were recorded by the ATLAS detector at the CERN Large Hadron Collider at a centre-of-mass energy of s = 7 TeV and correspond to an integrated luminosity of 4.6 fb−1. The measurement is performed by reconstructing the boosted W or Z bosons in single jets. The reconstructed jet mass is used to identify the W and Z bosons, and a jet substructure method based on energy cluster information in the jet centre-of mass frame is used to suppress the large multi-jet background. The cross-section for events with a hadronically decaying W or Z boson, with transverse momentum pT > 320 GeV and pseudorapidity |η| < 1.9, is measured to be σ + = ± W Z 8.5 1.7 pb and is compared to next-to-leading-order calculations. The selected events are further used to study jet grooming techniques.

New Shuttle Vector-Based Expression System To Generate Polyhistidine-Tagged Fusion Proteins in Staphylococcus aureus and Escherichia coli.

Four Staphylococcus aureus-Escherichia coli shuttle vectors were constructed for gene expression and production of tagged fusion proteins. Vectors pBUS1-HC and pTSSCm have no promoter upstream of the multiple cloning site (MCS), and this allows study of genes under the control of their native promoters, and pBUS1-Pcap-HC and pTSSCm-Pcap contain the strong constitutive promoter of S. aureus type 1 capsule gene 1A (Pcap) upstream of a novel MCS harboring codons for the peptide tag Arg-Gly-Ser-hexa-His (rgs-his6). All plasmids contained the backbone derived from pBUS1, including the E. coli origin ColE1, five copies of terminator rrnB T1, and tetracycline resistance marker tet(L) for S. aureus and E. coli. The minimum pAMα1 replicon from pBUS1 was improved through either complementation with the single-strand origin oriL from pUB110 (pBUS1-HC and pBUS1-Pcap-HC) or substitution with a pT181-family replicon (pTSSCm and pTSSCm-Pcap). The new constructs displayed increased plasmid yield and segregational stability in S. aureus. Furthermore, pBUS1-Pcap-HC and pTSSCm-Pcap offer the potential to generate C-terminal RGS-His6 translational fusions of cloned genes using simple molecular manipulation. BcgI-induced DNA excision followed by religation converts the TGA stop codon of the MCS into a TGC codon and links the rgs-his6 codons to the 3' end of the target gene. The generation of the rgs-his6 codon-fusion, gene expression, and protein purification were demonstrated in both S. aureus and E. coli using the macrolide-lincosamide-streptogramin B resistance gene erm(44) inserted downstream of Pcap. The new His tag expression system represents a helpful tool for the direct analysis of target gene function in staphylococcal cells.

Space debris attitude simulation - ιOTA (In-Orbit Tumbling Analysis)

Today, there is little knowledge on the attitude state of decommissioned intact objects in Earth orbit. Observational means have advanced in the past years, but are still limited with respect to an accurate estimate of motion vector orientations and magnitude. Especially for the preparation of Active Debris Removal (ADR) missions as planned by ESA’s Clean Space initiative or contingency scenarios for ESA spacecraft like ENVISAT, such knowledge is needed. ESA's “Debris Attitude Motion Measurements and Modelling” project (ESA Contract No. 40000112447), led by the Astronomical Institute of the University of Bern (AIUB), addresses this problem. The goal of the project is to achieve a good understanding of the attitude evolution and the considerable internal and external effects which occur. To characterize the attitude state of selected targets in LEO and GTO, multiple observation methods are combined. Optical observations are carried out by AIUB, Satellite Laser Ranging (SLR) is performed by the Space Research Institute of the Austrian Academy of Sciences (IWF) and radar measurements and signal level determination are provided by the Fraunhofer Institute for High Frequency Physics and Radar Techniques (FHR). The In-Orbit Tumbling Analysis tool (ιOTA) is a prototype software, currently in development by Hyperschall Technologie Göttingen GmbH (HTG) within the framework of the project. ιOTA will be a highly modular software tool to perform short-(days), medium-(months) and long-term (years) propagation of the orbit and attitude motion (six degrees-of-freedom) of spacecraft in Earth orbit. The simulation takes into account all relevant acting forces and torques, including aerodynamic drag, solar radiation pressure, gravitational influences of Earth, Sun and Moon, eddy current damping, impulse and momentum transfer from space debris or micro meteoroid impact, as well as the optional definition of particular spacecraft specific influences like tank sloshing, reaction wheel behaviour, magnetic torquer activity and thruster firing. The purpose of ιOTA is to provide high accuracy short-term simulations to support observers and potential ADR missions, as well as medium-and long-term simulations to study the significance of the particular internal and external influences on the attitude, especially damping factors and momentum transfer. The simulation will also enable the investigation of the altitude dependency of the particular external influences. ιOTA's post-processing modules will generate synthetic measurements for observers and for software validation. The validation of the software will be done by cross-calibration with observations and measurements acquired by the project partners.

Interstellar neutral helium in the heliosphere from Interstellar Boundary Explorer observations. III. Mach number of the flow, velocity vector, and temperature from the first six years of measurements

We analyzed observations of interstellar neutral helium (ISN He) obtained from the Interstellar Boundary Explorer (IBEX) satellite during its first six years of operation. We used a refined version of the ISN He simulation model, presented in the companion paper by Sokol et al. (2015b), along with a sophisticated data correlation and uncertainty system and parameter fitting method, described in the companion paper by Swaczyna et al. We analyzed the entire data set together and the yearly subsets, and found the temperature and velocity vector of ISN He in front of the heliosphere. As seen in the previous studies, the allowable parameters are highly correlated and form a four-dimensional tube in the parameter space. The inflow longitudes obtained from the yearly data subsets show a spread of similar to 6 degrees, with the other parameters varying accordingly along the parameter tube, and the minimum chi(2) value is larger than expected. We found, however, that the Mach number of the ISN He flow shows very little scatter and is thus very tightly constrained. It is in excellent agreement with the original analysis of ISN He observations from IBEX and recent reanalyses of observations from Ulysses. We identify a possible inaccuracy in the Warm Breeze parameters as the likely cause of the scatter in the ISN He parameters obtained from the yearly subsets, and we suppose that another component may exist in the signal or a process that is not accounted for in the current physical model of ISN He in front of the heliosphere. From our analysis, the inflow velocity vector, temperature, and Mach number of the flow are equal to lambda(ISNHe) = 255 degrees.8 +/- 0 degrees.5, beta(ISNHe) = 5 degrees.16 +/- 0 degrees.10, T-ISNHe = 7440 +/- 260 K, nu(SNHe) = 25.8 +/- 0.4 km s(-1), and M-ISNHe = 5.079 +/- 0.028, with uncertainties strongly correlated along the parameter tube.

Input Aggregation in Models of Data Envelopment Analysis: A Statistical Test with an Application to Indian Manufacturing

A problem frequently encountered in Data Envelopment Analysis (DEA) is that the total number of inputs and outputs included tend to be too many relative to the sample size. One way to counter this problem is to combine several inputs (or outputs) into (meaningful) aggregate variables reducing thereby the dimension of the input (or output) vector. A direct effect of input aggregation is to reduce the number of constraints. This, in its turn, alters the optimal value of the objective function. In this paper, we show how a statistical test proposed by Banker (1993) may be applied to test the validity of a specific way of aggregating several inputs. An empirical application using data from Indian manufacturing for the year 2002-03 is included as an example of the proposed test.

Spatial analysis of water body distance and West Nile Virus human cases in Houston, TX

West Nile Virus (WNV) is an arboviral disease that has affected hundreds of residents in Harris County, Texas since its introduction in 2002. Persistent infection, lingering sequelae and other long-term symptoms of patients reaffirm the need for prevention of this important vector-borne disease. This study aimed to determine if living within 400m of a water body increases one’s odds of infection with WNV. Additionally, we wanted to determine if one’s proximity to a particular water type or water body source increased one’s odds of infection with WNV.^ 145 cases’ addresses were abstracted from the initial interview and consent records from a cohort of patients (Epidemiology of Arboviral Encephalitis in Houston study, HSC-SPH-03-039). After applying inclusion criteria, 140 cases were identified for analysis. 140 controls were selected for analysis using a population proportionate to size model and US Census Bureau data. MapMarker USA v14 was used to geocode the cases’ addresses. Both cases’ and controls’ coordinates were uploaded onto a Harris County water shapefile in MapInfo Professional v9.5.1. Distance in meters to the closest water source, closest water source type, and closest water source name were recorded.^ Analysis of Variance (p=0.329, R2 = 0.0034) indicated no association between water body distance and risk of WNV disease. Living near a creek (x2 = 11.79, p < 0.001), or the combined group of creek and gully (x 2 = 14.02, p < 0.001) were found to be strongly associated with infection of WNV. Living near Cypress Creek and its feeders (x2 = 15.2, p < 0.001) was found to be strongly associated with WNV infection. We found that creek and gully habitats, particularly Cypress Creek, were preferential for the local disease transmitting Culex quinquefasciatus and reservoir avian population.^

REGRESSION ANALYSIS FOR STANDARDIZED MORTALITY RATIOS WITH APPLICATION TO OCCUPATIONAL FOLLOW-UP STUDIES

Traditional comparison of standardized mortality ratios (SMRs) can be misleading if the age-specific mortality ratios are not homogeneous. For this reason, a regression model has been developed which incorporates the mortality ratio as a function of age. This model is then applied to mortality data from an occupational cohort study. The nature of the occupational data necessitates the investigation of mortality ratios which increase with age. These occupational data are used primarily to illustrate and develop the statistical methodology.^ The age-specific mortality ratio (MR) for the covariates of interest can be written as MR(,ij...m) = ((mu)(,ij...m)/(theta)(,ij...m)) = r(.)exp (Z('')(,ij...m)(beta)) where (mu)(,ij...m) and (theta)(,ij...m) denote the force of mortality in the study and chosen standard populations in the ij...m('th) stratum, respectively, r is the intercept, Z(,ij...m) is the vector of covariables associated with the i('th) age interval, and (beta) is a vector of regression coefficients associated with these covariables. A Newton-Raphson iterative procedure has been used for determining the maximum likelihood estimates of the regression coefficients.^ This model provides a statistical method for a logical and easily interpretable explanation of an occupational cohort mortality experience. Since it gives a reasonable fit to the mortality data, it can also be concluded that the model is fairly realistic. The traditional statistical method for the analysis of occupational cohort mortality data is to present a summary index such as the SMR under the assumption of constant (homogeneous) age-specific mortality ratios. Since the mortality ratios for occupational groups usually increase with age, the homogeneity assumption of the age-specific mortality ratios is often untenable. The traditional method of comparing SMRs under the homogeneity assumption is a special case of this model, without age as a covariate.^ This model also provides a statistical technique to evaluate the relative risk between two SMRs or a dose-response relationship among several SMRs. The model presented has application in the medical, demographic and epidemiologic areas. The methods developed in this thesis are suitable for future analyses of mortality or morbidity data when the age-specific mortality/morbidity experience is a function of age or when there is an interaction effect between confounding variables needs to be evaluated. ^

Analysis of the mechanism of replication inhibition of the tumor suppressor gene p53

p53 plays a role in cell cycle arrest and apoptosis. p53 has also been shown to be involved in DNA replication. To study the effect of p53 on DNA replication, we utilized a SV40 based shuttle vector system. The pZ402 shuttle vector, was constructed with a mutated T-antigen unable to interact with p53 but able to support replication of the shuttle vector. When a transcriptional activation domain p53 mutant was tested for its ability to inhibit DNA replication no inhibition was observed. Competition assays with the DNA binding domain of p53 was also able to block the inhibition of DNA replication by p53 suggesting that p53 can inhibit DNA replication through the transcriptional activation of a target gene. One likely target gene, p21$\sp{\rm cip/waf}$ was tested to determine whether p53 inhibited DNA replication by transcriptionally activating p21$\sp{\rm cip/waf}$. Two independent approaches utilizing p21$\sp{\rm cip/waf}$ null cells or the expression of an anti-sense p21$\sp{\rm cip/waf}$ expression vector were utilized. p53 was able to inhibit pZ402 replication independently of p21$\sp{\rm cip/waf}$. p53 was also able to inhibit DNA replication independent of the p53 target genes Gadd45 and the replication processivity factor PCNA. The inhibition of DNA replication by p53 was also independent of direct DNA binding to a consensus site on the replicating plasmid. p53 mutants can be classified into two categories: conformational and DNA contact mutants. The two types of p53 mutants were tested for their effects on DNA replication. While all conformational mutants were unable to inhibit DNA replication three out of three DNA contact mutants tested were able to inhibit DNA replication. The work here studies the effect wild-type and mutant p53 has on DNA replication and demonstrated a possible mechanism by which wild-type p53 could inhibit DNA replication through the transcriptional activation of a target gene. ^

The Chilean wheat market and its price support mechanism : a spatial market integration analysis

This research investigates the spatial market integration of the Chilean wheat market in relation with its most representative international markets by using a vector error correction model (VECM) and how a price support policy, as a price band, affect it. The international market was characterized by two relevant wheat prices: PAN from Argentina and Hard Red Winter from the United States. The spatial market integration level, expressed in the error correction term (ECT), allowed concluding that there is a high integration degree among these markets with a variable influence of the price band mechanism mainly related with its estimation methodology. Moreover, this paper showed that Chile can be seen as price taker as long as the speed of its adjustment to international shocks, being these reactions faster than in the United States and Argentina. Finally, the results validated the "Law of the One Price", which assumes price equalization across all local markets in the long run.

An empirical analysis of the money demand function in India

This paper empirically analyzes India’s money demand function during the period of 1980 to 2007 using monthly data and the period of 1976 to 2007 using annual data. Cointegration test results indicated that when money supply is represented by M1 and M2, a cointegrating vector is detected among real money balances, interest rates, and output. In contrast, it was found that when money supply is represented by M3, there is no long-run equilibrium relationship in the　money demand function. Moreover, when the money demand function was estimated using　dynamic OLS, the sign onditions of the coefficients of output and interest rates were found to be　consistent with theoretical rationale, and statistical significance was confirmed when money supply was represented by either M1 or M2. Consequently, though India’s central bank presently uses M3 as an indicator of future price movements, it is thought appropriate to focus on M1 or M2, rather than M3, in managing monetary policy.

Video analysis based vehicle detection and tracking using an MCMC sampling framework

This article presents a probabilistic method for vehicle detection and tracking through the analysis of monocular images obtained from a vehicle-mounted camera. The method is designed to address the main shortcomings of traditional particle filtering approaches, namely Bayesian methods based on importance sampling, for use in traffic environments. These methods do not scale well when the dimensionality of the feature space grows, which creates significant limitations when tracking multiple objects. Alternatively, the proposed method is based on a Markov chain Monte Carlo (MCMC) approach, which allows efficient sampling of the feature space. The method involves important contributions in both the motion and the observation models of the tracker. Indeed, as opposed to particle filter-based tracking methods in the literature, which typically resort to observation models based on appearance or template matching, in this study a likelihood model that combines appearance analysis with information from motion parallax is introduced. Regarding the motion model, a new interaction treatment is defined based on Markov random fields (MRF) that allows for the handling of possible inter-dependencies in vehicle trajectories. As for vehicle detection, the method relies on a supervised classification stage using support vector machines (SVM). The contribution in this field is twofold. First, a new descriptor based on the analysis of gradient orientations in concentric rectangles is dened. This descriptor involves a much smaller feature space compared to traditional descriptors, which are too costly for real-time applications. Second, a new vehicle image database is generated to train the SVM and made public. The proposed vehicle detection and tracking method is proven to outperform existing methods and to successfully handle challenging situations in the test sequences.