The role of LMX1B and PITX2 in anterior segment development and adult ocular function

Several congenital syndromes associated with anterior segment (AS) anomalies can lead to impaired vision and glaucoma, such as nail-patella syndrome (NPS), caused by mutations in the LIM homeodomain transcription factor LMX1B and Axenfeld-Rieger's syndrome (ARS), caused by mutations in the bicoid-related homeodomain transcription factor PITX2. Targeted mutations in lmx1b and pitx2 and RNA in situ analysis reveal that both genes are required for AS development and are co-expressed within the periocular mesenchyme, suggesting they participate in a shared genetic pathway. Lmx1b homozygous mutants display iris and corneal stroma hypoplasia, and defects in ciliary body formation. In contrast, pitx2 homozygous mutants exhibit a more severe phenotype: the AS chamber, corneal endothelium, and extraocular muscles (EOM) fail to develop. The absence of EOM in pitx2 mutants suggests pitx2 acts upstream of lmx1b, or that other lmx1b family members, such as lmx1a, can compensate for lmx1b function. Lmxla/lmx1b double homozygous mutants have a reduced capacity to generate EOM, implying that lmx1 gene products have a redundant function in EOM development and that lmx1 family members may act downstream of pitx2. However, analysis of pitx2 expression in the AS tissues of lmx1b mutants and reciprocal studies of lmx1b expression in pitx2 mutants indicate that these genes do not function in a simple linear pathway. Instead, lmx1b and pitx2 may regulate a shared set of downstream targets or both genes may work in parallel transcribing unique targets required for a common biological process. Ultrastructural analysis of lmx1b and pitx2 mutant corneas indicates that collagen fibrillogenesis is perturbed, revealing a common role for both genes in the deposition of extracellular matrix. Furthermore, lmx1b/pitx2 double heterozygotes develop corneal opacities not observed in single heterozygotes demonstrating that lmx1b and pitx2 genetically interact. Data suggests that defects in the basement membrane of the corneal endothelium underlie the opacities observed in double heterozygotes. Additionally, double heterozygotes develop anterior synechias that occlude the trabecular meshwork, potentially blocking aqueous humor drainage. These data suggest that lmx1b and pitx2 are responsible for ECM deposition in multiple cell types and imply that such defects may contribute to the glaucomas observed in NPS and ARS patients. ^

Ontogeny and regulation of interleukin-7 expressing thymic epithelial cells

T cell development is a multistage process of differentiation that depends on proper thymocyte-thymic epithelial cell (TEC) interactions. Epithelial cells in the thymus are organized in a three-dimensional network that provides support and signals for thymocyte maturation. Concurrently, proper TEC differentiation in the adult thymus relies on thymocyte-derived signals. TECs produce interleukin-7 (IL-7), a non-redundant cytokine that promotes the survival, differentiation, and proliferation of thymocytes. We have identified IL-7 expressing TECs throughout ontogeny and in the adult thymus by in situ hybridization analysis. IL-7 expression is initiated in the thymic fated domain of the thymic primordium by embryonic day 11.5, in a Foxn1 independent pathway. Marked changes occur in the localization and regulation of IL-7 expressing TECs during development. Whereas IL-7 expressing TECs are present throughout the early thymic rudiment, the majority of IL-7 producing TECs are concentrated in the adult thymic medulla. By analyzing mouse strains that sustain blocks at different stages of thymocyte development, we show that IL-7 expression is initiated independently of hematopoietic-derived signals during thymic organogenesis. However, thymocyte-derived signals play an essential role in regulating IL-7 expression in the adult TEC compartment. Furthermore, distinct thymocyte subsets regulate the expression of IL-7 and keratin 5 in adult cortical epithelium. Intraperitoneal injection of Recombination Activating Gene deficient mice (RAG-2−/−) with anti-CD3ϵ monoclonal antibody (mAb) induces CD4− 8− double negative thymocytes to undergo β-selection and differentiate into CD4+8+ cells. Analysis of the thymic stromal compartment reveals that progression through β-selection renders thymocytes competent to alter the pattern of IL-7 expression in the cortical TEC compartment. RAG-2−/− mice do not generate mature T cells and therefore the RAG-2−/− thymus is devoid of organized medullary regions. Histological examination of RAG-2−/− thymus following anti-CD3ϵ stimulation reveals the emergence of mature thymic medullary regions, as assessed by H & E staining and expression of thymic stromal medullary markers. Stromal medullary reorganization occurs in the absence of T cell receptor αβ expression, suggesting that activation of RAG-2−/− thymocytes by CD3ϵ ligation generates thymocyte-derived signals that induce thymic epithelial reorganization, generating a mature medullary compartment. This model provides a tool to assess the mechanisms underlying thymic medullary development. ^

Importance of sperm transition proteins demonstrated in mice carrying Tnp1- and Tnp2-null alleles

Chromatin condensation within the nucleus of developing spermatids involves replacement of histones by transition proteins, which are in turn replaced by protamines. The importance of transition proteins in the complex process of spermiogenesis has, to date, been only speculative. This study sought to investigate the extent to which transition proteins are essential or have redundant functions by characterizing sperm produced in mice expressing all combinations of Tnp-null alleles. Results from breeding trials of 8 weeks duration revealed that, on average, wildtype males produced about 14 offspring whereas TP2 and TP1 single-knockout males produced about 8 and 1 offspring, respectively, demonstrating their subfertility. Genotypes with less than two Tnp wildtype alleles, as well as double-knockout mutants, were completely infertile. Sperm from males with impaired fertility had poor progressive motility, heterogeneous chromatin condensation, incompletely processed protamine 2 and head and tail abnormalities. Generally, as the number of Tnp-null alleles increased so did the severity of abnormalities. However, specific morphological abnormalities were associated with the absence of an individual TP. Studies which sought to identify possible root causes for abnormalities in thiol-rich sperm structures revealed no differences in thiol content or sulfhydryl oxidation status within the nucleus but nuclei and tails from single-knockout mutants were severely disrupted following thiol reduction. Binding of fluorescent dyes to DNA was normal in sperm recovered from caput but abnormal in cauda epididymal sperm from TP1 knockouts and infertile double mutants. Injection of cauda epididymal sperm from double knockouts into oocytes produced very few offspring; however, after injection with testicular sperm, the efficiency was no different from wildtype. These results suggest DNA structural alterations or degradation during epididymal transport of sperm resulting in a diminished capacity of the paternal DNA of these sperm to produce offspring. The overall importance of transition proteins for normal chromatin condensation and production of fertile sperm has been demonstrated. Furthermore, identification of specific morphological abnormalities associated with the absence of an individual transition protein provides new evidence that the proteins are not completely redundant and each fulfills some unique function. ^

The roles of UPF3a and UPF3b in nonsense mediated decay

Nonsense-mediated decay (NMD) degrades aberrant transcripts containing premature termination codons (PTCs). The T-cell receptor (TCR) locus undergoes error-prone rearrangements that frequently acquire PTCs. Transcripts harboring PTCs from this locus are downregulated much more than transcripts from non-rearranging genes. Efficient splicing is essential for this robust downregulation. ^ Here I show that TCR NMD is unique in another respect: it is not impaired by RNAi-mediated depletion of the NMD factor UPF3b. This differentiates TCR transcripts from classical NMD (assayed using β-globin or triose phosphate isomerase transcripts), which does depend on UPF3b. Depletion of UPF3a, which encodes a gene related to UPF3b, also had no effect on TCR NMD. Mapping experiments identified TCR sequences that when deleted or mutated caused a switch to UPF3b dependence. Since UPF3b dependence was invariably accompanied by less efficient RNA splicing, this suggests that UPF3b-dependent NMD occurs when transcripts are generated by inefficient splicing. Microarray analysis revealed the existence of many NMD-targeted mRNAs from wild-type genes whose downregulation is impervious to UPF3b depletion. This suggests the existence of an alternative NMD pathway independent of UPF3b that is widely used to downregulate the level of both normal and mutant transcripts. ^ During the course of my studies, I also found that the function of UPF3a is fundamentally distinct from that of UPF3b in several aspects. First, classical NMD failed to be impaired by UPF3a depletion, whereas it was reversed by UPF3b depletion. Second, UPF3a depletion had no effect on NMD elicited by tethered UPF2, whereas UPF3b depletion blocked this response. Thus, UPF3a does not function in classical NMD. Third, UPF3b depletion upregulated the expression of UPF3a, whereas UPF3a depletion had no effect on UPF3b expression. This suggests that a UPF3b-mediated feedback network exists that regulates the UPF3a expression. Lastly, UPF3a depletion but not UPF3b depletion significantly upregulated TCR precursor RNAs. This suggests that UPF3a, not UPF3b, functions in the surveillance of precursor RNAs, which typically contain many PTCs in the introns. Collectively, my data suggests that UPF3a and UPF3b are not functionally redundant, as previously thought, but instead have separable functions. ^

A model for use by local public health departments to evaluate pandemic influenza plans

The events of the 1990's and early 2000's demonstrated the need for effective planning and response to natural and man-made disasters. One of those potential natural disasters is pandemic flu. Once defined, the CDC stated that program, or plan, effectiveness is improved through the process of program evaluation. (Centers for Disease Control and Prevention, 1999) Program evaluation should be accomplished not only periodically, but in the course of routine administration of the program. (Centers for Disease Control and Prevention, 1999) Accomplishing this task for a "rare, but significant event" is challenging. (Herbold, John R., PhD., 2008) To address this challenge, the RAND Corporation (under contract to the CDC) developed the "Facilitated Look-Backs" approach that was tested and validated at the state level. (Aledort et al., 2006).^ Nevertheless, no comprehensive and generally applicable pandemic influenza program evaluation tool or model is readily found for use at the local public health department level. This project developed such a model based on the "Facilitated Look-Backs" approach developed by RAND Corporation. (Aledort et al., 2006) Modifications to the RAND model included stakeholder additions, inclusion of all six CDC program evaluation steps, and suggestions for incorporating pandemic flu response plans in seasonal flu management implementation. Feedback on the model was then obtained from three LPHD's—one rural, one suburban, and one urban. These recommendations were incorporated into the final model. Feedback from the sites also supported the assumption that this model promotes the effective and efficient evaluation of both pandemic flu and seasonal flu response by reducing redundant evaluations of pandemic flu plans, seasonal flu plans, and funding requirement accountability. Site feedback also demonstrated that the model is comprehensive and flexible, so it can be adapted and applied to different LPHD needs and settings. It also stimulates evaluation of the major issues associated with pandemic flu planning. ^ The next phase in evaluating this model should be to apply it in a program evaluation of one or more LPHD's seasonal flu response that incorporates pandemic flu response plans.^

Evaluation of Knowledge Regarding Diagnostic Strategies for Genetic Diseases in Select Residents

Genetics education for physicians has been a popular publication topic in the United States and in Europe for over 20 years. Decreasing numbers of medical genetics professionals and an increasing volume of genetic information has created a dire need for increased genetics training in medical school and in clinical practice. This study aimed to assess how well pediatrics-focused primary care physicians apply their general genetics knowledge to clinical genetic testing using scenario-based questions. We chose to specifically focus on knowledge of the diagnostic applicability of Chromosomal Microarray (CMA) technology in pediatrics because of its recent recommendation by the International Standard Cytogenomic Array (ISCA) Consortium as a first-tier genetic test for individuals with developmental disabilities and/or congenital anomalies. Proficiency in ordering baseline genetic testing was evaluated for eighty-one respondents from four pediatrics-focused residencies (categorical pediatrics, pediatric neurology, internal medicine/pediatrics, and family practice) at two large residency programs in Houston, Texas. Similar to other studies, we found an overall deficit of genetic testing knowledge, especially among family practice residents. Interestingly, residents who elected to complete a genetics rotation in medical school scored significantly better than expected, as well as better than residents who did not elect to complete a genetics rotation. We suspect that the insufficient knowledge among physicians regarding a baseline genetics work-up is leading to redundant (i.e. concurrent karyotype and CMA) and incorrect (i.e. ordering CMA to detect achondroplasia) genetic testing and is contributing to rising health care costs in the United States. Our results provide specific teaching points upon which medical schools can focus education about clinical genetic testing and suggest that increased collaboration between primary care physicians and genetics professionals could benefit patient health care overall.

Radiomics of NSCLC: Quantitative CT Image Feature Characterization and Tumor Shrinkage Prediction

Radiomics is the high-throughput extraction and analysis of quantitative image features. For non-small cell lung cancer (NSCLC) patients, radiomics can be applied to standard of care computed tomography (CT) images to improve tumor diagnosis, staging, and response assessment. The first objective of this work was to show that CT image features extracted from pre-treatment NSCLC tumors could be used to predict tumor shrinkage in response to therapy. This is important since tumor shrinkage is an important cancer treatment endpoint that is correlated with probability of disease progression and overall survival. Accurate prediction of tumor shrinkage could also lead to individually customized treatment plans. To accomplish this objective, 64 stage NSCLC patients with similar treatments were all imaged using the same CT scanner and protocol. Quantitative image features were extracted and principal component regression with simulated annealing subset selection was used to predict shrinkage. Cross validation and permutation tests were used to validate the results. The optimal model gave a strong correlation between the observed and predicted shrinkages with . The second objective of this work was to identify sets of NSCLC CT image features that are reproducible, non-redundant, and informative across multiple machines. Feature sets with these qualities are needed for NSCLC radiomics models to be robust to machine variation and spurious correlation. To accomplish this objective, test-retest CT image pairs were obtained from 56 NSCLC patients imaged on three CT machines from two institutions. For each machine, quantitative image features with concordance correlation coefficient values greater than 0.90 were considered reproducible. Multi-machine reproducible feature sets were created by taking the intersection of individual machine reproducible feature sets. Redundant features were removed through hierarchical clustering. The findings showed that image feature reproducibility and redundancy depended on both the CT machine and the CT image type (average cine 4D-CT imaging vs. end-exhale cine 4D-CT imaging vs. helical inspiratory breath-hold 3D CT). For each image type, a set of cross-machine reproducible, non-redundant, and informative image features was identified. Compared to end-exhale 4D-CT and breath-hold 3D-CT, average 4D-CT derived image features showed superior multi-machine reproducibility and are the best candidates for clinical correlation.

L -Sox5 and Sox6: Architectural transcription factors in chondrogenesis

Transcription factors often determine cell fate and tissue development. Chondrogenesis is the developmental process by which cartilages form. Recently, gene targeting studies have shown that two transcription factors, L-Sox5 and Sox6, play essential and redundant roles in chondrogenesis in vivo by converting precartilaginous cell condensations into cartilages. Both are highly similar High-Mobility-Group (HMG)-domain proteins that bind and subsequently bend DNA containing the 7bp HMG site (A/T)(A/T)CAA(A/T)G. They have no transactivation domain, but homo- and hetero-dimerize and preferentially bind DNA containing two HMG sites. They are thought to play an architectural role in transactivation by facilitating long-range DNA and protein interactions. To understand their molecular mechanism of action, we investigated how phasing, orientation, and spacing between HMG sites affect L-Sox5 and Sox6 DNA-binding. We determined that L-Sox5 and Sox6 dimers bind with high affinity to paired HMG sites in DNA rather than a single HMG site. Binding of paired sites is independent of DNA helical phasing, orientation of paired HMG sites and independent of distance up to 255 base pairs between sites. Mutational analysis demonstrated that binding of L-Sox5 and Sox6, independent of orientation of the sites, is critically dependent on the presence of paired HMG sites rather than one HMG site alone. Our data support a unique and novel model whereby L-Sox5 and Sox6 dimerize and bind DNA with pronounced spatial flexibility, possibly by a flexible hinge, and act as architectural transcription factors that bring distant DNA sites and proteins together to form higher order transcriptional complexes that are essential for the activation of their target genes in chondrogenesis. ^

Forward Stagewise Naive Bayes

The naïve Bayes approach is a simple but often satisfactory method for supervised classification. In this paper, we focus on the naïve Bayes model and propose the application of regularization techniques to learn a naïve Bayes classifier. The main contribution of the paper is a stagewise version of the selective naïve Bayes, which can be considered a regularized version of the naïve Bayes model. We call it forward stagewise naïve Bayes. For comparison’s sake, we also introduce an explicitly regularized formulation of the naïve Bayes model, where conditional independence (absence of arcs) is promoted via an L 1/L 2-group penalty on the parameters that define the conditional probability distributions. Although already published in the literature, this idea has only been applied for continuous predictors. We extend this formulation to discrete predictors and propose a modification that yields an adaptive penalization. We show that, whereas the L 1/L 2 group penalty formulation only discards irrelevant predictors, the forward stagewise naïve Bayes can discard both irrelevant and redundant predictors, which are known to be harmful for the naïve Bayes classifier. Both approaches, however, usually improve the classical naïve Bayes model’s accuracy.

Development of Robotized Laser Welding Applications for Joining Thin Sheets

Laser Welding (LW) is more often used in manufacturing due to its advantages, such as accurate control, good repeatability, less heat input, opportunities for joining of special materials, high speed, capability to join small dimension parts etc. LW is dedicated to robotized manufacturing, and the fabrication cells are using various level of flexibility, from specialized robots to very flexible setups. This paper features several LW applications using two industrially-scaled manufacturing cells at UPM Laser Centre (CLUPM) of Polytechnical University of Madrid (Universidad Politécnica de Madrid). The one dedicated to Remote Laser Welding (RLW) of thin sheets for automotive and other sectors uses a CO2 laser of 3500 W. The second has a high flexibility, is based on a 6-axis ABB robot and a Nd:YAG laser of 3300 W, and is meant for various laser processing methods, including welding. After a short description of each cell, several LW applications experimented at CLUPM and recently implemented in industry are briefly presented: RLW of automotive coated sheets, LW of high strength automotive sheets, LW vs. laser hybrid welding (LHW) of Double Phase steel thin sheets, and LHW of thin sheets of stainless steel and carbon steel (dissimilar joints). The main technological issues overcame and the critical process parameters are pointed out. Conclusions about achievements and trends are provided.

Dealing with Semantic Heterogeneity Issues on the Web

The Semantic Web is an extension of the traditional Web in which meaning of information is well defined, thus allowing a better interaction between people and computers. To accomplish its goals, mechanisms are required to make explicit the semantics of Web resources, to be automatically processed by software agents (this semantics being described by means of online ontologies). Nevertheless, issues arise caused by the semantic heterogeneity that naturally happens on the Web, namely redundancy and ambiguity. For tackling these issues, we present an approach to discover and represent, in a non-redundant way, the intended meaning of words in Web applications, while taking into account the (often unstructured) context in which they appear. To that end, we have developed novel ontology matching, clustering, and disambiguation techniques. Our work is intended to help bridge the gap between syntax and semantics for the Semantic Web construction

High Performance Algorithms and Implementations Using Sparse and Parallelization Techniques on MBS

In this paper we will see how the efficiency of the MBS simulations can be improved in two different ways, by considering both an explicit and implicit semi-recursive formulation. The explicit method is based on a double velocity transformation that involves the solution of a redundant but compatible system of equations. The high computational cost of this operation has been drastically reduced by taking into account the sparsity pattern of the system. Regarding this, the goal of this method is the introduction of MA48, a high performance mathematical library provided by Harwell Subroutine Library. The second method proposed in this paper has the particularity that, depending on the case, between 70 and 85% of the computation time is devoted to the evaluation of forces derivatives with respect to the relative position and velocity vectors. Keeping in mind that evaluating these derivatives can be decomposed into concurrent tasks, the main goal of this paper lies on a successful and straightforward parallel implementation that have led to a substantial improvement with a speedup of 3.2 by keeping all the cores busy in a quad-core processor and distributing the workload between them, achieving on this way a huge time reduction by doing an ideal CPU usage

Efficient methodologies for system matrix modelling in iterative image reconstruction for rotating high-resolution PET

A fully 3D iterative image reconstruction algorithm has been developed for high-resolution PET cameras composed of pixelated scintillator crystal arrays and rotating planar detectors, based on the ordered subsets approach. The associated system matrix is precalculated with Monte Carlo methods that incorporate physical effects not included in analytical models, such as positron range effects and interaction of the incident gammas with the scintillator material. Custom Monte Carlo methodologies have been developed and optimized for modelling of system matrices for fast iterative image reconstruction adapted to specific scanner geometries, without redundant calculations. According to the methodology proposed here, only one-eighth of the voxels within two central transaxial slices need to be modelled in detail. The rest of the system matrix elements can be obtained with the aid of axial symmetries and redundancies, as well as in-plane symmetries within transaxial slices. Sparse matrix techniques for the non-zero system matrix elements are employed, allowing for fast execution of the image reconstruction process. This 3D image reconstruction scheme has been compared in terms of image quality to a 2D fast implementation of the OSEM algorithm combined with Fourier rebinning approaches. This work confirms the superiority of fully 3D OSEM in terms of spatial resolution, contrast recovery and noise reduction as compared to conventional 2D approaches based on rebinning schemes. At the same time it demonstrates that fully 3D methodologies can be efficiently applied to the image reconstruction problem for high-resolution rotational PET cameras by applying accurate pre-calculated system models and taking advantage of the system's symmetries.

Semantic Heterogeneity Issues on the Web

The Semantic Web is an extension of the traditional Web in which meaning of information is well defined, thus allowing a better interaction between people and computers. To accomplish its goals, mechanisms are required to make explicit the semantics of Web resources, to be automatically processed by software agents (this semantics being described by means of online ontologies). Nevertheless, issues arise caused by the semantic heterogeneity that naturally happens on the Web, namely redundancy and ambiguity. For tackling these issues, we present an approach to discover and represent, in a non-redundant way, the intended meaning of words in Web applications, while taking into account the (often unstructured) context in which they appear. To that end, we have developed novel ontology matching, clustering, and disambiguation techniques. Our work is intended to help bridge the gap between syntax and semantics for the Semantic Web construction.

Sharing, freeness, linearity, redundancy, widenings, and cliques

We discuss here different variants of the Sharing abstract domain, including the base domain that captures set-sharing, a variant to capture pairsharing, in which redundant sharing groups (w.r.t. the pair-sharing property) can be eliminated, and an alternative representation based on cliques. The original proposal for using cliques in the non-redundant version of the domain is reviewed, then extended to the base domain. Variants of all the domains including freeness alone, and freeness together with linearity are also studied.