The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Single cell analysis of the developing mouse kidney provides deeper insight into marker gene expression and ligand-receptor crosstalk
Abstract
Recent advances in the generation of kidney organoids and the culture of primary nephron progenitors from mouse and human have been based on knowledge of the molecular basis of kidney development in mice. Although gene expression during kidney development has been intensely investigated, single cell profiling provides new opportunities to further subsect component cell types and the signalling networks at play. Here, we describe the generation and analysis of 6732 single cell transcriptomes from the fetal mouse kidney [embryonic day (E)18.5] and 7853 sorted nephron progenitor cells (E14.5). These datasets provide improved resolution of cell types and specific markers, including subdivision of the renal stroma and heterogeneity within the nephron progenitor population. Ligand-receptor interaction and pathway analysis reveals novel crosstalk between cellular compartments and associates new pathways with differentiation of nephron and ureteric epithelium cell types. We identify transcriptional congruence between the distal nephron and ureteric epithelium, showing that most markers previously used to identify ureteric epithelium are not specific. Together, this work improves our understanding of metanephric kidney development and provides a template to guide the regeneration of renal tissue.
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Cites
Integrating single-cell transcriptomic data across different conditions, technologies, and species
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Spatial reconstruction of single-cell gene expression data
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A robust and high-throughput Cre reporting and characterization system for the whole mouse brain
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Visualization and analysis of gene expression in tissue sections by spatial transcriptomics
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Kidney organoids from human iPS cells contain multiple lineages and model human nephrogenesis
Takasato, M., Er, P. X., Chiu, H. S., Maier, B., Baillie, G. J., Ferguson, C., Parton, R. G., Wolvetang, E. J., Roost, M. S., Chuva de Sousa Lopes, S. M., et al. (2015) · Nature · doi:10.1038/nature15695 · Cited by 1,627
Self-citationA draft network of ligand–receptor-mediated multicellular signalling in human
Ramilowski, J. A., Goldberg, T., Harshbarger, J., Kloppmann, E., Lizio, M., Satagopam, V. P., Itoh, M., Kawaji, H., Carninci, P., Rost, B., et al. (2015) · Nature Communications · doi:10.1038/ncomms8866 · Cited by 887
Single-cell transcriptomes from human kidneys reveal the cellular identity of renal tumors
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Defining the molecular character of the developing and adult kidney podocyte
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Cited by
Denisenko, E., Guo, B. B., Jones, M., Hou, R., de Kock, L., Lassmann, T., Poppe, D., Clément, O., Simmons, R. K., Lister, R., et al. (2020) · Genome Biology · doi:10.1186/s13059-020-02048-6 · Cited by 686
Single-Cell Profiling Reveals Sex, Lineage, and Regional Diversity in the Mouse Kidney
Ransick, A., Lindström, N. O., Liu, J., Zhu, Q., Guo, J.-J., Alvarado, G. F., Kim, A. D., Black, H. G., Kim, J., & McMahon, A. P. (2019) · Developmental Cell · doi:10.1016/j.devcel.2019.10.005 · Cited by 429
Maggiore, J. C., LeGraw, R., Przepiorski, A., Velazquez, J., Chaney, C., Vanichapol, T., Streeter, E., Almuallim, Z., Oda, A., Chiba, T., et al. (2024) · Kidney International · doi:10.1016/j.kint.2024.05.026 · Cited by 60
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Metadata
- Authors
- Combes, A. N., Phipson, B., Lawlor, K. T., Dorison, A., Patrick, R., Zappia, L., Harvey, R. P., Oshlack, A., & Little, M. H.
- Venue
- Development
- Publisher
- The Company of Biologists
- Published
- 2019-06-12
- Volume
- 146
- Issue
- 12
- ISSN
- 0950-1991 (ISSN-L)
- 1477-9129
- OpenAlex
- W2945746490
- Cited by
- 172
- References
- 10
- FWCI
- 6.73
- Type
- journal article
- Language
- en
- Open access
- closed
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