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Abstract
To prevent damage to the host or its commensal microbiota, epithelial tissues must match the intensity of the immune response to the severity of a biological threat. Toll-like receptors allow epithelial cells to identify microbe associated molecular patterns. However, the mechanisms that mitigate biological noise in single cells to ensure quantitatively appropriate responses remain unclear. Here we address this question using single cell and single molecule approaches in mammary epithelial cells and primary organoids. We find that epithelial tissues respond to bacterial microbe associated molecular patterns by activating a subset of cells in an all-or-nothing (i.e. digital) manner. The maximum fraction of responsive cells is regulated by a bimodal epigenetic switch that licenses the TLR2 promoter for transcription across multiple generations. This mechanism confers a flexible memory of inflammatory events as well as unique spatio-temporal control of epithelial tissue-level immune responses. We propose that epigenetic licensing in individual cells allows for long-term, quantitative fine-tuning of population-level responses.
Fine tuning the immune response in line with the degree of threat is central to recognition of a pathogen versus commensal bacteria. Here the authors implicate a digital all-or-nothing cell response in control of the tissue level immune response.
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1 Johns Hopkins University School of Medicine, Department of Molecular Biology and Genetics, Baltimore, USA (GRID:grid.21107.35) (ISNI:0000 0001 2171 9311); Johns Hopkins University School of Medicine, Oncology Department, Baltimore, USA (GRID:grid.21107.35) (ISNI:0000 0001 2171 9311); Johns Hopkins University School of Medicine, The Biochemistry, Cellular, and Molecular Biology Graduate Program, Baltimore, USA (GRID:grid.21107.35) (ISNI:0000 0001 2171 9311); Johns Hopkins University School of Medicine, Center for Cell Dynamics, Baltimore, USA (GRID:grid.21107.35) (ISNI:0000 0001 2171 9311)
2 Johns Hopkins University School of Medicine, The Biochemistry, Cellular, and Molecular Biology Graduate Program, Baltimore, USA (GRID:grid.21107.35) (ISNI:0000 0001 2171 9311); Johns Hopkins University School of Medicine, Center for Cell Dynamics, Baltimore, USA (GRID:grid.21107.35) (ISNI:0000 0001 2171 9311); Johns Hopkins School of Medicine, Department of Biophysics and Biophysical Chemistry, Baltimore, USA (GRID:grid.21107.35) (ISNI:0000 0001 2171 9311)
3 Johns Hopkins University School of Medicine, Department of Molecular Biology and Genetics, Baltimore, USA (GRID:grid.21107.35) (ISNI:0000 0001 2171 9311); Johns Hopkins University School of Medicine, The Biochemistry, Cellular, and Molecular Biology Graduate Program, Baltimore, USA (GRID:grid.21107.35) (ISNI:0000 0001 2171 9311); Johns Hopkins University, Department of Biomedical Engineering, Baltimore, USA (GRID:grid.21107.35) (ISNI:0000 0001 2171 9311)
4 Johns Hopkins University School of Medicine, Department of Molecular Biology and Genetics, Baltimore, USA (GRID:grid.21107.35) (ISNI:0000 0001 2171 9311); Johns Hopkins University School of Medicine, Oncology Department, Baltimore, USA (GRID:grid.21107.35) (ISNI:0000 0001 2171 9311); Johns Hopkins University School of Medicine, Center for Cell Dynamics, Baltimore, USA (GRID:grid.21107.35) (ISNI:0000 0001 2171 9311)
5 Johns Hopkins University School of Medicine, Oncology Department, Baltimore, USA (GRID:grid.21107.35) (ISNI:0000 0001 2171 9311); Johns Hopkins University School of Medicine, Center for Cell Dynamics, Baltimore, USA (GRID:grid.21107.35) (ISNI:0000 0001 2171 9311); Johns Hopkins University School of Medicine, Department of Cell Biology, Baltimore, USA (GRID:grid.21107.35) (ISNI:0000 0001 2171 9311)
6 Johns Hopkins University School of Medicine, Department of Molecular Biology and Genetics, Baltimore, USA (GRID:grid.21107.35) (ISNI:0000 0001 2171 9311); Johns Hopkins University, Department of Biomedical Engineering, Baltimore, USA (GRID:grid.21107.35) (ISNI:0000 0001 2171 9311)
7 Johns Hopkins University School of Medicine, Center for Cell Dynamics, Baltimore, USA (GRID:grid.21107.35) (ISNI:0000 0001 2171 9311); Johns Hopkins School of Medicine, Department of Biophysics and Biophysical Chemistry, Baltimore, USA (GRID:grid.21107.35) (ISNI:0000 0001 2171 9311)
8 University of Delaware, Electrical and Computer Engineering, Newark, USA (GRID:grid.33489.35) (ISNI:0000 0001 0454 4791)