Mapping fetal myeloid differentiation in airway samples from premature neonates with single-cell profiling
Welfley, H.; Kylat, R.; Zaghloul, N.; Halonen, M.; Martinez, F. D.; Ahmed, M.; Cusanovich, D. A.
Show abstract
Single-cell genomic technologies hold great potential to advance our understanding of development and disease. A major limitation lies in isolating intact cells from primary tissues for profiling. Sampling methods compatible with current clinical interventions could enable longitudinal studies, the enrollment of large cohorts, and even the development of novel diagnostics. To explore single-cell RNA-seq (scRNA-seq) profiling of the cell types present at birth in the airway lumen of extremely premature (<28 weeks gestation) neonates, we isolated cells from endotracheal aspirates collected from intubated neonates within the first hour after birth. We generated data on 10 subjects, providing a rich view of airway luminal biology at a critical developmental period. Our results show that cells present in the airways of premature neonates primarily represent a continuum of myeloid differentiation, including fetal monocytes (25% of all cells), intermediate myeloid populations (48% of cells), and macrophages (2.6% of cells). To our knowledge, this is the first single-cell transcriptomic characterization of human monocytes in the neonatal airway isolated within an hour of birth. Applying trajectory analysis to the premature neonate myeloid populations, we identified two trajectories consistent with the developmental stages of interstitial and alveolar macrophages, as well as a third trajectory presenting a potential alternative pathway bridging these terminal macrophage states. While the three trajectories share many dynamic genes (5,451), they also have distinct transcriptional changes (259 alveolar-specific genes, 666 interstitial-specific genes, and 285 bridging-specific genes). Overall, our results define high quality single-cell data from cells isolated within the so-called "golden hour of birth" in extremely premature neonate airways representing complex lung biology and can be utilized in studies of human development and disease.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Sorted-Cell Proteomics Reveals an AT1-Associated Epithelial Cornification Phenotype and Suggests Endothelial Redox Imbalance in Human Bronchopulmonary Dysplasia 94%
- Post-transcriptional regulation of IFI16 promotes inflammatory endothelial pathophenotypes observed in pulmonary arterial hypertension 93%
- Remarkable Sex-Specific Differences at Single-Cell Resolution in Neonatal Hyperoxic Lung Injury 93%
Similar papers in this journal
- Diverse homeostatic and immunomodulatory roles of immune cells in the developing mouse lung revealed at single cell resolution 93%
- Novel Apelin-expressing gCap Endothelial Stem-like Cells Orchestrate Lung Microvascular Repair 93%
- Decoding the IGF1 Signaling Gene Regulatory Network Behind Alveologenesis from A Mouse Model of Bronchopulmonary Dysplasia 92%
Similar papers in this journal
- Long non-coding RNAs (lncRNAs) NEAT1 and MALAT1 are differentially expressed in severe COVID-19 patients: An integrated single cell analysis 93%
- High-Throughput Analysis of Lung Immune Cells in a Murine Model of Rheumatoid Arthritis-Associated Lung Disease 93%
- Cellular and molecular characterization of peripheral glia in the lung and other organs 93%
Similar papers in this journal
- Novel porcine model reveals two distinct LGR5 cell types during lung development and homeostasis 94%
- Single nucleus RNASeq profiling of mouse lung: reduced dissociation bias and improved detection of rare cell types compared with single cell RNASeq 93%
- Flow cytometric analysis and purification of airway epithelial cell subsets 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.