Bacteria
Ontology highlight
ABSTRACT:
PROVIDER: PRJDB18532 | ENA |
REPOSITORIES: ENA
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Primary endpoints: circulating tumor DNA (ctDNA) via deep sequencing for mutation detection and by whole genome sequencing for copy number analyses before start (baseline) with regorafenib and at defined time points during administration of regorafenib for treatment efficacy in colorectal cancer patients in terms of overall survival (OS).
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Project description:During an intracellular bacterial infection, the host cell and the infecting pathogen interact through a progressive series of events that may result in many distinct outcomes. To understand the specific strategies our immune system employs to manage attack by diverse pathogens, we sought to identify the unique and the core host and pathogen interactions that occur during infection: We compared in molecular detail the pathways induced across infection by seven diverse bacterial species that constitute many of the main human pathogens: Staphylococcus aureus, Listeria monocytogenes, Enterococcus faecalis, Group B Streptococcus, Yersinia pseudotuberculosis, Shigella flexneri and Salmonella enterica. We infected primary human macrophages with each species and used scRNA-Seq to generate a comprehensive dataset of gene expression profiles during bacterial infection. Examining the expression profiles of the infected macrophages across the pathogens, we discovered different modules of infection representing different states through which the infection progresses. The early module captures intra-cellular activity such as lysosome and degranulation, followed by type I IFN signaling, from which results in a cell death module, with a last mode of inflammatory response through response to IL-1. Comparing these modules across the pathogens, we found that their dynamics differ, with some modules active in all species and others which are present in some, but not all pathogens. Our work defines the hallmarks of host-pathogen interactions by identifying recurring properties of infection that can provide insight into diagnostics and therapeutic timing.
2022-12-14 | GSE145862 | GEO
Project description:Multiomics of faecal samples collected from individuals in families with multiple cases of type 1 diabetes mellitus (T1DM) over 3 or 4 months. Metagenomic and metatranscriptomic sequencing and metaproteomics were carried out, as well as whole human genome sequencing. Phenotypic data is available.
2017-10-19 | MSV000081630 | MassIVE
Project description:Vet-LIRN Other Veterinary Pathogens Sequencing Project
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Project description:Multiomics of faecal samples collected from individuals in families with multiple cases of type 1 diabetes mellitus (T1DM) over 3 or 4 months. Metagenomic and metatranscriptomic sequencing and metaproteomics were carried out, as well as whole human genome sequencing. Phenotypic data is available.
2016-08-22 | PXD003791 | Pride
Project description:Background: It has been shown that intracellular pathogens hijack DC functions to evade immune defense mechanisms. In this study, we investigated the responses of human monocyte derived DCs to four intracellular bacteria, Tropheryma whipplei, Coxiella burnetii, Brucella abortus and Orientia tsutsugamushi, responsible for human infectious diseases and known to infect myeloid cells. Methods: Whole genome microarrays were assessed to define common and specific transcriptionnal responses to bacterial pathogen. Bacterial pathogen ability to affect DC maturation was assessed by measuring lymphoproliferation and endocytosis as well as phenotypic maturation markers (CD80, CD83, CD86 and HLA-DR) expression. Results: We found that Coxiella burnetii, Orientia tsutsugamushi and Brucella abortus induced DC maturation assessed through decreased endocytosis ability, triggering lymphoproliferation, surface expression of HLA class II molecules and phenotypic changes, whereas Tropheryma whipplei did not induce DC maturation. As revealed by microarray analysis, the response of DCs to these bacteria consisted of a core associated with the maturation of DCs and signatures specific for each pathogen. The core response represented 10% of genes modulated in response to pathogens and consisted of general cellular processes including nucleotide binding, protein transport, cell fraction, protein kinase, cell cycle, mitochondrial membrane and cytoskeleton. The specific transcriptional signature induced by C. burnetii is associated with the communication between innate and adaptive immune cells and DC maturation. B. abortus signature specifically involved arachidonic acid and lipooxygenase pathways and O. tsutsugamushi signature involved type I and type III IFN responses. Conclusion: This study demonstrates that intracellular bacteria use multifaceted pathways to induce DC maturation which may lead to unadapted immune response. The understanding of these pathways may be useful to improve our knowledge of bacterial recognition by the immune system but also intracellular bacterial diseases. IL4/GM-CSF monocyte-derived dendritic cells were stimulated by T. whipplei, B. abortus, C. burnetii, O. tsutsugamushi and LPS during 6 hours. Common and specific signatures were determined by comparison with uninfected DCs. moDCs (5.10^6) were plated in 6 well plates and stimulated with bacteria or LPS for 6 hours, and total RNA was extracted using the RNeasy minikit (Qiagen, adresse CA) and DNase treatment. The Agilent-014850 4X44k Human Whole Genome microarrays (Agilent Technologies, CA) representing 44,000 probes were used as recently described. Reverse transcription, sample labeling and hybridization were performed according to protocols specified by the manufacturer (One-Color Microarray-Based Gene Expression Analysis). Three samples per experimental condition were included in the analysis.
2015-02-27 | E-GEOD-49016 | biostudies-arrayexpress