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- W2969263194 abstract "A comprehensive understanding of the dynamic regulatory networks that govern postnatal alveolar lung development is still lacking. To construct such a model, we profiled mRNA, microRNA, DNA methylation, and proteomics of developing murine alveoli isolated by laser capture microdissection at 14 predetermined time points. We developed a detailed comprehensive and interactive model that provides information about the major expression trajectories, the regulators of specific key events, and the impact of epigenetic changes. Intersecting the model with single-cell RNA-Seq data led to the identification of active pathways in multiple or individual cell types. We then constructed a similar model for human lung development by profiling time-series human omics data sets. Several key pathways and regulators are shared between the reconstructed models. We experimentally validated the activity of a number of predicted regulators, leading to new insights about the regulation of innate immunity during lung development." @default.
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- W2969263194 date "2019-11-01" @default.
- W2969263194 modified "2023-10-16" @default.
- W2969263194 title "Integrating multiomics longitudinal data to reconstruct networks underlying lung development" @default.
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- W2969263194 doi "https://doi.org/10.1152/ajplung.00554.2018" @default.
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