Publications by authors named "David Parry-Smith"

CRISPR guide RNA libraries have been iteratively improved to provide increasingly efficient reagents, although their large size is a barrier for many applications. We design an optimised minimal genome-wide human CRISPR-Cas9 library (MinLibCas9) by mining existing large-scale gene loss-of-function datasets, resulting in a greater than 42% reduction in size compared to other CRISPR-Cas9 libraries while preserving assay sensitivity and specificity. MinLibCas9 provides backward compatibility with existing datasets, increases the dynamic range of CRISPR-Cas9 screens and extends their application to complex models and assays.

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Users facing the task of designing gRNAs for a CRISPR-mutagenesis experiment are typically confronted with a large variety of possible tools and existing libraries. Here we examine the design principles for such resources, and suggest a best practice which allows a user to evaluate and effectively use any of the existing CRISPR design tools or genome-wide libraries.

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Chlamydia trachomatis remains a leading cause of bacterial sexually transmitted infections and preventable blindness worldwide. There are, however, limited in vitro models to study the role of host genetics in the response of macrophages to this obligate human pathogen. Here, we describe an approach using macrophages derived from human induced pluripotent stem cells (iPSdMs) to study macrophage-Chlamydia interactions in vitro.

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Unlabelled: The rapid development of CRISPR-Cas9 mediated genome editing techniques has given rise to a number of online and stand-alone tools to find and score CRISPR sites for whole genomes. Here we describe the Wellcome Trust Sanger Institute Genome Editing database (WGE), which uses novel methods to compute, visualize and select optimal CRISPR sites in a genome browser environment. The WGE database currently stores single and paired CRISPR sites and pre-calculated off-target information for CRISPRs located in the mouse and human exomes.

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Article Synopsis
  • The study aims to develop a new open-source tool, FETA, for processing data from the EPIC-Norfolk Food Frequency Questionnaire and compare its nutrient analysis to the existing CAFÉ tool.
  • It analyzed data from over 24,000 participants in East England, revealing that both tools provided similar nutrient intake results, with very minimal differences.
  • FETA offers advantages like being more accessible and customizable, potentially enhancing research using the EPIC-Norfolk data.
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Article Synopsis
  • The study analyzed energy, nutrient, and food intake data from 7-day diet diaries (7dDD) of 25,639 participants in the EPIC-Norfolk study, focusing on important methodological challenges.
  • Data showed a mean energy intake of 9.44 MJ/d for men and 7.15 MJ/d for women, with higher micronutrient density in women; however, participants, especially those with a higher BMI, often under-reported their intake.
  • The way food intake data is categorized (crude vs disaggregated) affected the findings, highlighting that while rankings among individuals may remain consistent, the absolute food intake comparisons between different studies can vary significantly.
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