Dataset Information

High throughput quantitative whole transcriptome analysis of distal mouse lung epithelial cells from various developmental stages (E14.5, E16.5, E18.5 and adult)

ABSTRACT: We used microfluidic single cell RNA-seq on 198 individual mouse lung epithelial cells at 4 different stages throughout development to measure the transcriptional states which define the developmental and cellular hierarchy of the distal mouse lung epithelium. We classified 80 cells comprising the distal lung epithelium at E18.5 into distinct populations using an unbiased genome-wide approach that did not require a priori knowledge of the underlying cell types or prior purification of cell types. This “reverse tissue engineering” approach confirmed the basic outlines of the conventional model of cell type diversity in the distal lung and led to the discovery of a large number of novel transcriptional regulators and cell type markers that discriminate between the different populations. Moreover, we reconstructed the steps during maturation of bipotential progenitors into both alveolar lineages based on the presence of undifferentiated, differentiated as well as differentiation intermediate cells at the single time point E18.5. Finally, we followed Sftpc-positive cells throughout their lifecycle (E14.5, E16.5, E18.5, adult) and identified 7 gene sets that differentiate between the multipotential, bipotential, mature, as well as intermediate states of the AT2 lineage.

ORGANISM(S): Mus musculus

PROVIDER: GSE52583 | GEO | 2014/04/08

SECONDARY ACCESSION(S): PRJNA229411

REPOSITORIES: GEO

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Project description:We used microfluidic single cell RNA-seq on 198 individual mouse lung epithelial cells at 4 different stages throughout development to measure the transcriptional states which define the developmental and cellular hierarchy of the distal mouse lung epithelium. We classified 80 cells comprising the distal lung epithelium at E18.5 into distinct populations using an unbiased genome-wide approach that did not require a priori knowledge of the underlying cell types or prior purification of cell types. This M-bM-^@M-^\reverse tissue engineeringM-bM-^@M-^] approach confirmed the basic outlines of the conventional model of cell type diversity in the distal lung and led to the discovery of a large number of novel transcriptional regulators and cell type markers that discriminate between the different populations. Moreover, we reconstructed the steps during maturation of bipotential progenitors into both alveolar lineages based on the presence of undifferentiated, differentiated as well as differentiation intermediate cells at the single time point E18.5. Finally, we followed Sftpc-positive cells throughout their lifecycle (E14.5, E16.5, E18.5, adult) and identified 7 gene sets that differentiate between the multipotential, bipotential, mature, as well as intermediate states of the AT2 lineage. 198 single-cell transcriptomes from mouse lung epithelium were analyzed in total, two 200-cell bulk control samples as well as one no-cell control; All single cell and control samples contain 92 external RNA spike-ins; For time point E18.5, three individual experiments were performed using 3 different pregnant mice (3 biological replicates): Replicate 1 (pooled sibling lungs) yielded 20 single cell transcriptomes, replicate 2 (one single embryonic lung) yielded 34 single cell transcriptomes and replicate 3 (pooled siibling lungs) yielded 26 single cell transcriptomes; In addition, a 200-cell bulk control sample was prepared for E18.5 replicate 1 and E18.5 replicate 3 experiments; A no-cell control sample was generated for the E18.5 replicate 1 experiment; For time point E14.5, one experiment (one pregnant mouse, pooled sibling lungs) was performed yielding 45 single cell transcriptomes; For time point E16.5, one experiment (one pregnant mouse, pooled sibling lungs) was performed yielding 27 single cell transcriptomes; For the adult time point, one 107 day old mouse was used and transcriptomes of 46 single cells were obtained; All single cell samples were processed on the microfluidic platform, 200-cell-bulk and no-cell control samples were processed in microliter volumes in PCR tubes.

Project description:Fibroblast Growth Factor (FGF) signaling plays an important role in lung organogenesis. Over recent decades, FGF signaling in lung development has been extensively studied in animal models. However, little is known about the expression, localization and functional roles of FGF ligands during human fetal lung development. Therefore, we aimed to determine the expression and function of several FGF ligands and receptors in human lung development. Using in situ hybridization (ISH) and RNA-sequencing, we assessed their expression and distribution in native human fetal lung. Human fetal lung explants were treated with recombinant FGF7, FGF9 or FGF10 in air-liquid interface culture. Explants were analyzed grossly, to observe differences in branching pattern, as well as at the cellular and molecular level. ISH demonstrated that FGF7 is expressed in both the epithelium and mesenchyme; FGF9 is mainly localized in the distal epithelium, whereas FGF10 demonstrated diffuse expression throughout the parenchyma with some expression in the smooth muscle cells (SMCs). FGFR2 expression was high in both proximal and distal epithelial cells as well as the SMCs. FGFR3 was expressed mostly in the epithelial cells, with lower expression in the mesenchyme, while FGFR4 was highly expressed throughout the mesenchyme and in the distal epithelium. Using recombinant FGFs, we demonstrated that FGF7 and FGF9 had similar effects on human fetal lung as on mouse; however, FGF10 caused the human explants to expand and form cysts as opposed to inducing epithelial branching as seen in the mouse. In conjunction with decreased branching, treatment with recombinant FGF7, FGF9 and FGF10 also resulted in decreased double-positive SOX2/SOX9 progenitor cells, which are exclusively present in the distal epithelial tips in early human fetal lung. Although FGF ligand localization may be somewhat comparable between developing mouse and human lungs, their functional roles may differ substantially.

Dataset Information

High throughput quantitative whole transcriptome analysis of distal mouse lung epithelial cells from various developmental stages (E14.5, E16.5, E18.5 and adult)

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