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Nat Commun DOI:10.1038/s41467-019-09599-8

Coordinated host-pathogen transcriptional dynamics revealed using sorted subpopulations and single macrophages infected with Candida albicans.

Publication TypeJournal Article
Year of Publication2019
AuthorsMuñoz, JF, Delorey, T, Ford, CB, Li, BYu, Thompson, DA, Rao, RP, Cuomo, CA
JournalNat Commun
Volume10
Issue1
Pages1607
Date Published2019 04 08
ISSN2041-1723
KeywordsAnimals, Candida albicans, Cell Separation, Cell Wall, Cells, Cultured, Female, Flow Cytometry, Gene Expression Profiling, Gene Expression Regulation, Fungal, Host Microbial Interactions, Macrophages, Mice, Mice, Inbred C57BL, Phagocytosis, Primary Cell Culture, RNA Splicing, Signal Transduction, Transcriptome
Abstract

The outcome of fungal infections depends on interactions with innate immune cells. Within a population of macrophages encountering Candida albicans, there are distinct host-pathogen trajectories; however, little is known about the molecular heterogeneity that governs these fates. Here we developed an experimental system to separate interaction stages and single macrophage cells infected with C. albicans from uninfected cells and assessed transcriptional variability in the host and fungus. Macrophages displayed an initial up-regulation of pathways involved in phagocytosis and proinflammatory response after C. albicans exposure that declined during later time points. Phagocytosed C. albicans shifted expression programs to survive the nutrient poor phagosome and remodeled the cell wall. The transcriptomes of single infected macrophages and phagocytosed C. albicans displayed a tightly coordinated shift in gene expression co-stages and revealed expression bimodality and differential splicing that may drive infection outcome. This work establishes an approach for studying host-pathogen trajectories to resolve heterogeneity in dynamic populations.

DOI10.1038/s41467-019-09599-8
Pubmed

http://www.ncbi.nlm.nih.gov/pubmed/30962448?dopt=Abstract

Alternate JournalNat Commun
PubMed ID30962448
PubMed Central IDPMC6453965
Grant ListU19 AI110818 / AI / NIAID NIH HHS / United States