5,529 results found
    1. Cell Biology
    2. Developmental Biology

    First quantitative high-throughput screen in zebrafish identifies novel pathways for increasing pancreatic β-cell mass

    Guangliang Wang et al.
    A novel high-throughput, whole organism chemical screening platform was used to identify existing drugs that increase pancreatic beta-cell mass in zebrafish, implicating unique roles for the NF-κB and serotonergic signaling pathways in regulating pancreatic biology.
    1. Neuroscience

    A high-throughput neurohistological pipeline for brain-wide mesoscale connectivity mapping of the common marmoset

    Meng Kuan Lin et al.
    A systematic high-throughput neurohistological and computational pipeline for marmoset which establishes a foundational setup in brain mapping and circuit tracing to support current and emerging research in primate studies.
    1. Microbiology and Infectious Disease

    Droplet-based high-throughput cultivation for accurate screening of antibiotic resistant gut microbes

    William J Watterson et al.
    High-throughput droplet-based cultivation of gut microbes reduces biases of traditional cultivation strategies and thereby enables detection of difficult-to-culture organisms, which is required in applications such as antibiotic screening.
    1. Genetics and Genomics
    2. Microbiology and Infectious Disease

    Pyphe, a python toolbox for assessing microbial growth and cell viability in high-throughput colony screens

    Stephan Kamrad et al.
    An open-source python package for phenotype analyses provides a versatile, modular and user-friendly solution to determine complementary fitness-related traits from large-scale assays of microbial colonies.
    1. Neuroscience

    MouseBytes, an open-access high-throughput pipeline and database for rodent touchscreen-based cognitive assessment

    Flavio H Beraldo et al.
    Comprehensive dataset of high-level cognitive assessment in mouse models of neurodegeneration, accompanied by an open-access database/repository to change the paradigm of how cognitive studies in animal models can be shared/re-used.
    1. Chromosomes and Gene Expression
    2. Genetics and Genomics

    High-throughput engineering of a mammalian genome reveals building principles of methylation states at CG rich regions

    Arnaud R Krebs et al.
    Large numbers of DNA sequence variants comprehensively define how transcription factor binding sites and CG density preserve mammalian promoters from repression by DNA methylation.
    1. Cell Biology

    Generation of endogenous pH-sensitive EGF receptor and its application in high-throughput screening for proteins involved in clathrin-mediated endocytosis

    Mads Breum Larsen et al.
    CRISPR/Cas9 gene-editing was used to generate a novel endogenous pH-sensitive EGF receptor chimera with the unique utility to study receptor endocytosis in a single-cell and high-throughput experimental formats.
    1. Computational and Systems Biology

    Selecting the most appropriate time points to profile in high-throughput studies

    Michael Kleyman et al.
    The Time Point Selection (or TPS) method is a general protocol for determining sampling rates for high throughout time series biological studies, that is efficient, cheap, scalable and works well for several different types of molecular data.
    1. Structural Biology and Molecular Biophysics

    Top-down machine learning approach for high-throughput single-molecule analysis

    David S White et al.
    A new analysis algorithm (DISC) enables accurate analysis of data from high-throughput single-molecule paradigms and reveals a non-cooperative binding mechanism of cyclic nucleotide-binding domains from HCN ion channels.
    1. Epidemiology and Global Health
    2. Microbiology and Infectious Disease

    Structured illumination microscopy combined with machine learning enables the high throughput analysis and classification of virus structure

    Romain F Laine et al.
    Machine learning in conjunction with super-resolution imaging allows for the first time to quantitatively analyse large and heterogenous virus samples structure at a high throughput and specificity.

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