Design of polyzinc finger peptides with structured linkers

Zinc finger domains are perhaps the most versatile of all known DNA binding domains. By fusing up to six zinc finger modules, which normally recognize up to 18 bp of DNA, designer transcription factors can be produced to target unique sequences within large genomes. However, not all continuous DNA sequences make good zinc finger binding sites. To avoid having to target unfavorable DNA sequences, we designed multizinc finger peptides with linkers capable of spanning long stretches of nonbound DNA. Two three-finger domains were fused by using either transcription factor IIIA for the Xenopus 5S RNA gene (TFIIIA) finger 4 or a non-sequence-specific zinc finger as a “structured” linker. Our gel-shift results demonstrate that these peptides are able to bind with picomolar affinities to target sequences containing 0–10 bp of nonbound DNA. Furthermore, these peptides display greater sequence selectivity and bind with higher affinity than similar six-finger peptides containing long, flexible linkers. These peptides are likely to be of use in understanding the behavior of polydactyl proteins in nature and in the targeting of human, animal, or plant genomes for numerous applications. We also suggest that in certain polydactyl peptides an individual finger can “flip” out of the major groove to allow its neighbors to bind shorter, nontarget DNA sequences.

Conversion of a maltose receptor into a zinc biosensor by computational design

We have demonstrated that it is possible to radically change the specificity of maltose binding protein by converting it into a zinc sensor using a rational design approach. In this new molecular sensor, zinc binding is transduced into a readily detected fluorescence signal by use of an engineered conformational coupling mechanism linking ligand binding to reporter group response. An iterative progressive design strategy led to the construction of variants with increased zinc affinity by combining binding sites, optimizing the primary coordination sphere, and exploiting conformational equilibria. Intermediates in the design series show that the adaptive process involves both introduction and optimization of new functions and removal of adverse vestigial interactions. The latter demonstrates the importance of the rational design approach in uncovering cryptic phenomena in protein function, which cannot be revealed by the study of naturally evolved systems.

Analysis of homeodomain function by structure-based design of a transcription factor.

The homeodomain is a 60-amino acid module which mediates critical protein-DNA and protein-protein interactions for a large family of regulatory proteins. We have used structure-based design to analyze the ability of the Oct-1 homeodomain to nucleate an enhancer complex. The Oct-1 protein regulates herpes simplex virus (HSV) gene expression by participating in the formation of a multiprotein complex (C1 complex) which regulates alpha (immediate early) genes. We recently described the design of ZFHD1, a chimeric transcription factor containing zinc fingers 1 and 2 of Zif268, a four-residue linker, and the Oct-1 homeodomain. In the presence of alpha-transinduction factor and C1 factor, ZFHD1 efficiently nucleates formation of the C1 complex in vitro and specifically activates gene expression in vivo. The sequence specificity of ZFHD1 recruits C1 complex formation to an enhancer element which is not efficiently recognized by Oct-1. ZFHD1 function depends on the recognition of the Oct-1 homeodomain surface. These results prove that the Oct-1 homeodomain mediates all the protein-protein interactions that are required to efficiently recruit alpha-transinduction factor and C1 factor into a C1 complex. The structure-based design of transcription factors should provide valuable tools for dissecting the interactions of DNA-bound domains in other regulatory circuits.

Investigating and Understanding Student Learning Outcomes in an Online and Face-to-Face Graduate Level Legal Administration Course: An Embedded Mixed Methods Design

Online education is a new teaching and learning medium with few current guidelines for faculty, administrators or students. Its rapid growth over the last decade has challenged academic institutions to keep up with the demand, while also providing a quality education. Our understanding of the factors that determine quality and effective online learning experiences that lead to student learning outcomes is still evolving. There is a lack of consensus on the effectiveness of online versus face-to-face education in the current research. The U.S. Department of Education conducted a meta-analysis in 2009 and concluded that student-learning outcomes in online courses were equal to and, often times, better than face-to-face traditional courses. Subsequent research has found contradictory findings, and further inquiry is necessary. The purpose of this embedded mixed methods design research study is to further our understanding of the factors that create quality and successful educational outcomes in an online course. To achieve this, the first phase of this study measured and compared learning outcomes in an online and in class graduate-level legal administration course. The second phase of the study entailed interviews with those students in both the online and face-to-face sections to understand their perspectives on the factors contributing to learning outcomes. Six themes emerged from the qualitative findings: convenience, higher order thinking, discussions, professor engagement, professor and student interaction, and face-to-face interaction. Findings from this study indicate the factors students perceive as contributing to learning outcomes in an online course are consistent among all students and are supported in the existing literature. Higher order thinking, however, emerged as a stronger theme than indicated in the current research, and the face-to-face nature of the traditional classroom may be more an issue of familiarity than a factor contributing to learning outcomes. As education continues to reach new heights and developments in technology advance, the factors found to contribute to student learning outcomes will be refined and enhanced. These developments will continue to transform the ways in which we deliver and receive knowledge in both traditional and online classrooms. While there is a growing body of research on online education, the field’s evolution has unsettled earlier findings and posed new areas to investigate.

Handling of Uncertainty in Life Cycle Inventory by Correlated Multivariate Lognormal Distributions: Application to the Design of Supply Chain Networks

Poster presented in the 24th European Symposium on Computer Aided Process Engineering (ESCAPE 24), Budapest, Hungary, June 15-18, 2014.

Fault tolerant embedded systems design by multi-objective optimization

The design of fault tolerant systems is gaining importance in large domains of embedded applications where design constrains are as important as reliability. New software techniques, based on selective application of redundancy, have shown remarkable fault coverage with reduced costs and overheads. However, the large number of different solutions provided by these techniques, and the costly process to assess their reliability, make the design space exploration a very difficult and time-consuming task. This paper proposes the integration of a multi-objective optimization tool with a software hardening environment to perform an automatic design space exploration in the search for the best trade-offs between reliability, cost, and performance. The first tool is commanded by a genetic algorithm which can simultaneously fulfill many design goals thanks to the use of the NSGA-II multi-objective algorithm. The second is a compiler-based infrastructure that automatically produces selective protected (hardened) versions of the software and generates accurate overhead reports and fault coverage estimations. The advantages of our proposal are illustrated by means of a complex and detailed case study involving a typical embedded application, the AES (Advanced Encryption Standard).

Handling of Uncertainty in Life Cycle Inventory by Correlated Multivariate Lognormal Distributions: Application to the Design of Supply Chain Networks

In this work, we analyze the effect of incorporating life cycle inventory (LCI) uncertainty on the multi-objective optimization of chemical supply chains (SC) considering simultaneously their economic and environmental performance. To this end, we present a stochastic multi-scenario mixed-integer linear programming (MILP) coupled with a two-step transformation scenario generation algorithm with the unique feature of providing scenarios where the LCI random variables are correlated and each one of them has the desired lognormal marginal distribution. The environmental performance is quantified following life cycle assessment (LCA) principles, which are represented in the model formulation through standard algebraic equations. The capabilities of our approach are illustrated through a case study of a petrochemical supply chain. We show that the stochastic solution improves the economic performance of the SC in comparison with the deterministic one at any level of the environmental impact, and moreover the correlation among environmental burdens provides more realistic scenarios for the decision making process.

Regulation of lipocalin prostaglandin-D synthase expression by interleukin-1β in human chondrocytes

L'arthrose est une maladie multifactorielle complexe. Parmi les facteurs impliqués dans sa pathogénie, les certains prostaglandines exercent un rôle inflammatoire et d’autres un rôle protecteur. La prostaglandine D2 (PGD2) est bien connue comme une PG anti-inflammatoire, qui est régulée par l’enzyme «Lipocalin prostaglandine D-synthase». Avec l’inflammation de l'arthrose, les chondrocytes essaient de protéger le cartilage en activant certaines voies de récupération dont l'induction du gène L-PGDS. Dans cette étude, nous étudions la voie de signalisation impliquée dans la régulation de l'expression du (L-PGDS) sur les chondrocytes traités avec différents médiateurs inflammatoires. Le but de projet: Nous souhaitons étudier la régulation de la L-PGDS dans le but de concevoir des approches thérapeutiques qui peuvent activer la voie intrinsèque anti-inflammatoire. Méthode et conclusions: In vivo, l'arthrose a été suivie en fonction de l’âge chez la souris ou chirurgicalement suivant une intervention au niveau des genoux de souris. Nous avons confirmé les niveaux d’expression de L-PGDS histologiquement et par immunohistochimie. In vitro, dans les chondrocytes humains qui ont été traités avec différents médiateurs de l'inflammation, nous avons observé une augmentation de l’expression de la L-PGDS dose et temps dépendante. Nous avons montré, in vivo et in vitro que l’inflammation induit une sécrétion chondrocytaire de la L-PGDS dans le milieu extracellulaire. Enfin, nous avons observé la production de différentes isoformes de la L-PGDS en réponse à l'inflammation.