bioRxivSystems BiologyPreprint
Gene regulatory networks define human airway epithelial cell types and their distinct responses to type I interferon
Anthony T. BejjaniiD, Alec P. PankowiD, Ava R. Lamberty, Jorg J. A. CalisiD, Kira A. GriswoldiD, Ethan IversoniD, Andy KuoiD, Akshata N. Rudrapatna, Skyler A. UhliD, Roosheel S. PateliD, Oded DanzigeriD, Philip CoheniD, Erika A. BarralliD, Emma J. DeGraceiD, Fady GorgyiD, Victoria PhamiD, Zi F. YangiD, Joseph A. Wayman, Alexander Katko, Allison BoboltziD, Gregg A. DuncaniD, William J. ZachariasiD, Ivan MarazziiD, Matthew T. WeirauchiD, Leah Claire KottyaniD, , Emily R. MiraldiiD
Abstract
The human airway epithelium (HAE) is composed of diverse cell types that coordinate essential functions and host defenses. Among these defenses, interferons (IFNs) are central to antiviral programs. However, the gene regulatory networks (GRNs) governing HAE cellular identities and their IFN responses are incompletely defined. At single-cell resolution, we characterized the transcriptomes and accessible chromatin landscapes of HAE cell types, at steady state and following IFN{beta} stimulation. The resulting scRNA-seq and snATAC-seq data informed genome-scale GRN construction and inference of transcriptional circuits underlying cell identities. In response to IFN, we identified a shared transcriptional program across HAE cell types, and an expanded set of interferon-responsive genes exhibiting cell type-associated expression patterns. Cell type-associated transcription factors and chromatin accessibility contribute to distinct IFN-responsive gene expression programs. Together, these data provide a blueprint for molecular regulation of complex HAE responses and a foundation for therapeutic strategies to enhance host antiviral defense.
- organism: human
- assay: scRNA-seq
- assay: snRNA-seq
- research focus: gene regulatory network inference
- approach: statistical model
- Citations
- 0
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