Publications by authors named "John J Lambourne"

Gene editing technologies hold promise for enabling the next generation of adoptive cellular therapies. In conventional gene editing platforms that rely on nuclease activity, such as clustered regularly interspaced short palindromic repeats CRISPR-associated protein 9 (CRISPR-Cas9), allow efficient introduction of genetic modifications; however, these modifications occur via the generation of DNA double-strand breaks (DSBs) and can lead to unwanted genomic alterations and genotoxicity. Here, we apply a novel modular RNA aptamer-mediated Pin-point base editing platform to simultaneously introduce multiple gene knockouts and site-specific integration of a transgene in human primary T cells.

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Background: This work is aimed at improving the understanding of cardiometabolic syndrome pathophysiology and its relationship with thrombosis by generating a multi-omic disease signature.

Methods/results: We combined classic plasma biochemistry and plasma biomarkers with the transcriptional and epigenetic characterisation of cell types involved in thrombosis, obtained from two extreme phenotype groups (morbidly obese and lipodystrophy) and lean individuals to identify the molecular mechanisms at play, highlighting patterns of abnormal activation in innate immune phagocytic cells. Our analyses showed that extreme phenotype groups could be distinguished from lean individuals, and from each other, across all data layers.

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Conventional CRISPR approaches for precision genome editing rely on the introduction of DNA double-strand breaks (DSB) and activation of homology-directed repair (HDR), which is inherently genotoxic and inefficient in somatic cells. The development of base editing (BE) systems that edit a target base without requiring generation of DSB or HDR offers an alternative. Here, we describe a novel BE system called Pin-point that recruits a DNA base-modifying enzyme through an RNA aptamer within the gRNA molecule.

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Transcriptional profiling of hematopoietic cell subpopulations has helped to characterize the developmental stages of the hematopoietic system and the molecular bases of malignant and non-malignant blood diseases. Previously, only the genes targeted by expression microarrays could be profiled genome-wide. High-throughput RNA sequencing, however, encompasses a broader repertoire of RNA molecules, without restriction to previously annotated genes.

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Article Synopsis
  • Autoimmune diseases are linked to genetic variants found primarily in regulatory regions of immune cells, especially CD4 T cells, which helps in identifying potential disease-related genes.
  • Researchers observed that activating CD4 T cells leads to changes in histone modifications and RNA transcription that correspond with altered expression of certain interacting genes.
  • By analyzing genetic data from five autoimmune diseases, they identified 245 candidate genes, including IL2RA, showcasing a new method for pinpointing causal genes that could be important for understanding these diseases' mechanisms.
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Article Synopsis
  • The study aims to connect non-coding genetic variants linked to disease risks with target genes to enhance precision medicine derived from GWAS (Genome-Wide Association Studies).
  • Using epigenomic data and analyzing promoter long-range interactions, the researchers identify regulatory functions for 75% of the non-coding variants associated with platelet traits.
  • The research shows that variants located in super enhancers significantly influence key platelet functions, validated through laboratory experiments and genome editing techniques.
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Many common variants have been associated with hematological traits, but identification of causal genes and pathways has proven challenging. We performed a genome-wide association analysis in the UK Biobank and INTERVAL studies, testing 29.5 million genetic variants for association with 36 red cell, white cell, and platelet properties in 173,480 European-ancestry participants.

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Article Synopsis
  • The study investigates how genetic and epigenetic factors influence disease traits in human immune cells by profiling three major cell types from nearly 200 individuals.
  • Researchers quantitatively analyze the contributions of these factors to gene transcription, identifying potential confounding influences in epigenome-wide association studies.
  • The findings reveal coordinated genetic effects on gene expression and highlight 345 immune disease loci, providing insights into the relationship between genomic elements and disease risk.
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