Proceedings of the National Academy of Sciences · 2023 · 13 citations · 55 references
Life SciencesMicrobiologyMolecular BiologyHost-pathogen InteractionsMicrobial PathogenesisTranscriptomicsHost-pathogen Interaction NetworksImmune Responses To InfectionInnate Immune Signaling PathwaysMicrobial TranscriptomicsSingle-cell Rna Sequencing AnalysisSingle-cell TranscriptomicsHost Immune InteractionsHost Immune Signaling PathwaysPathogen Effector NetworksPathogen Virulence NetworksSingle-cell Rna SequencingVirulence DeterminantsVirulence Factor MappingVirulence Phenotyping
Encounters between host cells and intracellular bacterial pathogens lead to complex phenotypes that determine the outcome of infection. Single-cell RNA sequencing (scRNA-seq) is increasingly used to study the host factors underlying diverse cellular phenotypes but has limited capacity to analyze the role of bacterial factors. Here, we developed scPAIR-seq, a single-cell approach to analyze infection with a pooled library of multiplex-tagged, barcoded bacterial mutants. Infected host cells and barcodes of intracellular bacterial mutants are both captured by scRNA-seq to functionally analyze mutant-dependent changes in host transcriptomes. We applied scPAIR-seq to macrophages infected with a library of Salmonella Typhimurium secretion system effector mutants. We analyzed redundancy between effectors and mutant-specific unique fingerprints and mapped the global virulence network of each individual effector by its impact on host immune pathways. ScPAIR-seq is a powerful tool to untangle bacterial virulence strategies and their complex interplay with host defense strategies that drive infection outcome.
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Integrated analysis of multimodal single-cell data
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