9 research outputs found

    Discrete distributional differential expression (D3E)--a tool for gene expression analysis of single-cell RNA-seq data.

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    BACKGROUND: The advent of high throughput RNA-seq at the single-cell level has opened up new opportunities to elucidate the heterogeneity of gene expression. One of the most widespread applications of RNA-seq is to identify genes which are differentially expressed between two experimental conditions. RESULTS: We present a discrete, distributional method for differential gene expression (D(3)E), a novel algorithm specifically designed for single-cell RNA-seq data. We use synthetic data to evaluate D(3)E, demonstrating that it can detect changes in expression, even when the mean level remains unchanged. Since D(3)E is based on an analytically tractable stochastic model, it provides additional biological insights by quantifying biologically meaningful properties, such as the average burst size and frequency. We use D(3)E to investigate experimental data, and with the help of the underlying model, we directly test hypotheses about the driving mechanism behind changes in gene expression. CONCLUSION: Evaluation using synthetic data shows that D(3)E performs better than other methods for identifying differentially expressed genes since it is designed to take full advantage of the information available from single-cell RNA-seq experiments. Moreover, the analytical model underlying D(3)E makes it possible to gain additional biological insights

    µCube: A Framework for 3D Printable Optomechanics

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    Scientific instruments often require the integration of mechanics, electronics and optics. While the use of 3D printing techniques and commodity electronics has lowered the cost of instrumentation, the design and prototyping of optical components and light paths can be challenging and expensive. In recent years, attempts have been made to make optical devices more affordable using 3D printing as a method for production of optomechanical components. In this paper we present an assembly standard for the production of 3D printed optical devices. We describe a framework for parametric design of modular mounts, present two modules built using the framework, and demonstrate the potential for generalised design of modular optical devices following the μCube standard.This project was supported by the Biotechnology and Biological Sciences Research Council and Engineering and Physical Sciences Research Council Synthetic Biology Research Centre supported by the Research Councils’ Synthetic Biology for Growth Programme [OpenPlant grant No. BB/L014130/1 to J.H.]; and University of Cambridge BBSRC DTP programme [M.D.

    Insights into Land Plant Evolution Garnered from the Marchantia polymorpha Genome.

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    The evolution of land flora transformed the terrestrial environment. Land plants evolved from an ancestral charophycean alga from which they inherited developmental, biochemical, and cell biological attributes. Additional biochemical and physiological adaptations to land, and a life cycle with an alternation between multicellular haploid and diploid generations that facilitated efficient dispersal of desiccation tolerant spores, evolved in the ancestral land plant. We analyzed the genome of the liverwort Marchantia polymorpha, a member of a basal land plant lineage. Relative to charophycean algae, land plant genomes are characterized by genes encoding novel biochemical pathways, new phytohormone signaling pathways (notably auxin), expanded repertoires of signaling pathways, and increased diversity in some transcription factor families. Compared with other sequenced land plants, M. polymorpha exhibits low genetic redundancy in most regulatory pathways, with this portion of its genome resembling that predicted for the ancestral land plant. PAPERCLIP

    Prevalence of honeybee viruses in connection with coinfection by mite Varroa destructor in region Klatovsko

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    Parameters for the Islam et al. data without degradation rates. Parameters for the 12,135 genes that were expressed in both cell types. (TSV 2631 kb

    GeneGuard: A Modular Plasmid System Designed for Biosafety

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    Synthetic biology applications in biosensing, bioremediation, and biomining envision the use of engineered microbes beyond a contained laboratory. Deployment of such microbes in the environment raises concerns of unchecked cellular proliferation or unwanted spread of synthetic genes. While antibiotic-resistant plasmids are the most utilized vectors for introducing synthetic genes into bacteria, they are also inherently insecure, acting naturally to propagate DNA from one cell to another. To introduce security into bacterial synthetic biology, we here took on the task of completely reformatting plasmids to be dependent on their intended host strain and inherently disadvantageous for others. Using conditional origins of replication, rich-media compatible auxotrophies, and toxin–antitoxin pairs we constructed a mutually dependent host-plasmid platform, called GeneGuard. In this, replication initiators for the R6K or ColE2-P9 origins are provided <i>in trans</i> by a specified host, whose essential <i>thyA</i> or <i>dapA</i> gene is translocated from a genomic to a plasmid location. This reciprocal arrangement is stable for at least 100 generations without antibiotic selection and is compatible for use in LB medium and soil. Toxin genes ζ or Kid are also employed in an auxiliary manner to make the vector disadvantageous for strains not expressing their antitoxins. These devices, in isolation and in concert, severely reduce unintentional plasmid propagation in <i>E. coli</i> and <i>B. subtilis</i> and do not disrupt the intended <i>E. coli</i> host’s growth dynamics. Our GeneGuard system comprises several versions of modular cargo-ready vectors, along with their requisite genomic integration cassettes, and is demonstrated here as an efficient vector for heavy-metal biosensors
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