47 research outputs found

    Skokomish Indian Tribe v. United States, 401 F.3d 979 (9th Cir. 2005)

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    Principles of synthetic biology

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    In synthetic biology, biological cells and processes are dismantled and reassembled to make novel systems that do useful things. Designs are encoded by deoxyribonucleic acid (DNA); DNA makes biological (bio-)parts; bioparts are combined to make devices; devices are built into biological systems. Computers are used at all stages of the Design-Build-Test-Learn cycle, from mathematical modelling through to the use of robots for the automation of assembly and experimentation. Synthetic biology applies engineering principles of standardisation, modularity, and abstraction, enabling fast prototyping and the ready exchange of designs between synthetic biologists working around the world. Like toy building blocks, compatible modular designs enable bioparts to be combined and optimised easily; biopart specifications are shared in open registries. Synthetic biology is made possible due to major advances in DNA sequencing and synthesis technologies, and through knowledge gleaned in the field of systems biology. Systems biology aims to understand biology across scales, from the molecular and cellular, up to tissues and organisms, and describes cells as complex information-processing systems. By contrast, synthetic biology seeks to design and build its own systems. Applications of synthetic biology are wide-ranging but include impacting healthcare to improve diagnosis and make better treatments for disease; it seeks to improve the environment by finding novel ways to clean up pollution, make industrial processes for chemical synthesis sustainable, and remove the need for damaging farming practices by making better fertilisers. Synthetic biology has the potential to change the way we live and help us to protect the future of our planet

    Mathematical modeling of gonadotropin-releasing hormone signaling

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    Gonadotropin-releasing hormone (GnRH) acts via G-protein coupled receptors on pituitary gonadotropes to control reproduction. These are Gq-coupled receptors that mediate acute effects of GnRH on the exocytotic secretion of luteinizing hormone (LH) and follicle-stimulating hormone (FSH), as well as the chronic regulation of their synthesis. GnRH is secreted in short pulses and GnRH effects on its target cells are dependent upon the dynamics of these pulses. Here we overview GnRH receptors and their signaling network, placing emphasis on pulsatile signaling, and how mechanistic mathematical models and an information theoretic approach have helped further this field

    Gonadotropin-releasing hormone signaling:An information theoretic approach

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    Gonadotropin-releasing hormone (GnRH) is a peptide hormone that mediates central control of reproduction, acting via G-protein coupled receptors that are primarily Gq coupled and mediate GnRH effects on the synthesis and secretion of luteinizing hormone and follicle-stimulating hormone. A great deal is known about the GnRH receptor signaling network but GnRH is secreted in short pulses and much less is known about how gonadotropes decode this pulsatile signal. Similarly, single cell measures reveal considerable cell-cell heterogeneity in responses to GnRH but the impact of this variability on signaling is largely unknown. Ordinary differential equation-based mathematical models have been used to explore the decoding of pulse dynamics and information theory-derived statistical measures are increasingly used to address the influence of cell-cell variability on the amount of information transferred by signaling pathways. Here, we describe both approaches for GnRH signaling, with emphasis on novel insights gained from the information theoretic approach and on the fundamental question of why GnRH is secreted in pulses

    Information Transfer in Gonadotropin-Releasing Hormone (GnRH) Signaling:Extracellular Signal-Regulated Kinase (ERK)-Mediated Feedback Loops Control Hormone Sensing

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    Cell signaling pathways are noisy communication channels, and statistical measures derived from information theory can be used to quantify the information they transfer. Here we use single cell signaling measures to calculate mutual information as a measure of information transfer via gonadotropin-releasing hormone (GnRH) receptors (GnRHR) to extracellular signal-regulated kinase (ERK) or nuclear factor of activated T-cells (NFAT). This revealed mutual information values <1 bit, implying that individual GnRH-responsive cells cannot unambiguously differentiate even two equally probable input concentrations. Addressing possible mechanisms for mitigation of information loss, we focused on the ERK pathway and developed a stochastic activation model incorporating negative feedback and constitutive activity. Model simulations revealed interplay between fast (min) and slow (min-h) negative feedback loops with maximal information transfer at intermediate feedback levels. Consistent with this, experiments revealed that reducing negative feedback (by expressing catalytically inactive ERK2) and increasing negative feedback (by Egr1-driven expression of dual-specificity phosphatase 5 (DUSP5)) both reduced information transfer from GnRHR to ERK. It was also reduced by blocking protein synthesis (to prevent GnRH from increasing DUSP expression) but did not differ for different GnRHRs that do or do not undergo rapid homologous desensitization. Thus, the first statistical measures of information transfer via these receptors reveals that individual cells are unreliable sensors of GnRH concentration and that this reliability is maximal at intermediate levels of ERK-mediated negative feedback but is not influenced by receptor desensitization

    The Implementation and Sustainment Facilitation Strategy Improved Implementation Effectiveness and Intervention Effectiveness: Results from a Cluster-Randomized, Type 2 Hybrid Trial

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    Background: Substance use disorders (SUDs) among people with HIV are both prevalent and problematic. The Substance Abuse Treatment to HIV care project was funded to test the Implementation and Sustainment Facilitation (ISF) strategy as an adjunct to the Addiction Technology Transfer Center (ATTC) strategy for integrating a motivational interviewing-based brief intervention (MIBI) for SUDs within HIV community-based organizations. Methods: Using a cluster-randomized, type 2 hybrid trial design, 39 HIV organizations were randomized to either (1) ATTC (n = 19) or (2) ATTC + ISF (n = 20). Each HIV organization identified two staff members to be prepared to implement the MIBI (N = 78). Subsequently, during the implementation phase, HIV organizations in each condition randomized client participants (N = 824) to one of the two intervention conditions: usual care (UC; n = 415) or UC + MIBI (n = 409). Both staff-level outcomes and client-level outcomes were examined. Results: The ISF strategy had a significant impact on the implementation effectiveness (i.e., the consistency and the quality of implementation; β = .65, p = .01) but not on time-to-proficiency (β = −.02) or level-of-sustainment (β = .09). In addition, the ISF strategy was found to have a significant impact on the intervention effectiveness (the effectiveness of the MIBI), at least in terms of significantly decreasing the odds (odds ratio = 0.11, p = .02) of clients using their primary substance daily during follow-up. Conclusion: The ISF strategy was found to be an effective adjunct to the ATTC strategy in terms of implementation effectiveness and intervention effectiveness. It is recommended that future efforts to integrate the project’s MIBI for SUD within HIV organizations use the ATTC + ISF strategy. However, given the ISF strategy did not have a significant impact on level-of-sustainment, implementation research testing the extent to which the ATTC + ISF strategy can be significantly enhanced through effective sustainment strategies is warranted. Substance use among people living with HIV is associated with increased mental health problems, worse medication adherence, and worse HIV viral suppression. Increasing substance use-related services in HIV community-based organizations is an important public health need. The Substance Abuse Treatment to HIV care project tested two strategies for helping HIV organizations implement a brief intervention (BI) designed to motivate clients to decrease their substance use. The project also tested if receiving a BI improved clients’ outcome. Two staff from each of the 39 participating organizations were taught how to deliver the BI using the Addiction Technology Transfer Center (ATTC) training strategy (online and in-person training, monthly feedback, and coaching). Half of the organizations also received the Implementation and Sustainment Facilitation (ISF) strategy, which included monthly meetings with an ISF coach for the two BI staff and one or more leadership staff from the organization. Organizations that received both the ATTC and ISF strategies delivered more BIs and higher quality BIs than organizations that only received the ATTC strategy. In addition, clients receiving BIs at organizations that received both strategies were more likely to decrease their substance use. However, receiving both strategies did not improve how quickly staff learned to deliver the BI or improve the number of BIs delivered during the project’s 6-month sustainment phase. Future research focused on implementing BIs within HIV organizations should consider using the ATTC and ISF strategies while also seeking to enhance the strategies to improve sustainment

    Enhanced insulin receptor, but not PI3K, signalling protects podocytes from ER stress

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    Abstract Disruption of the insulin-PI3K-Akt signalling pathway in kidney podocytes causes endoplasmic reticulum (ER) stress, leading to podocyte apoptosis and proteinuria in diabetic nephropathy. We hypothesised that by improving insulin sensitivity we could protect podocytes from ER stress. Here we use established activating transcription factor 6 (ATF6)- and ER stress element (ERSE)-luciferase assays alongside a novel high throughput imaging-based C/EBP homologous protein (CHOP) assay to examine three models of improved insulin sensitivity. We find that by improving insulin sensitivity at the level of the insulin receptor (IR), either by IR over-expression or by knocking down the negative regulator of IR activity, protein tyrosine-phosphatase 1B (PTP1B), podocytes are protected from ER stress caused by fatty acids or diabetic media containing high glucose, high insulin and inflammatory cytokines TNFα and IL-6. However, contrary to this, knockdown of the negative regulator of PI3K-Akt signalling, phosphatase and tensin homolog deleted from chromosome 10 (PTEN), sensitizes podocytes to ER stress and apoptosis, despite increasing Akt phosphorylation. This indicates that protection from ER stress is conferred through not just the PI3K-Akt pathway, and indeed we find that inhibiting the MEK/ERK signalling pathway rescues PTEN knockdown podocytes from ER stress

    Finishing the euchromatic sequence of the human genome

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    The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∼99% of the euchromatic genome and is accurate to an error rate of ∼1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead
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