The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Transcriptomic Profiling Maps Anatomically Patterned Subpopulations among Single Embryonic Cardiac Cells
Open accessAbstract
Summary Embryonic gene expression intricately reflects anatomical context, developmental stage, and cell type. To address whether the precise spatial origins of cardiac cells can be deduced solely from their transcriptional profiles, we established a genome-wide expression database from 118, 949, and 1166 single murine heart cells at embryonic days (e)8.5, 9.5, and 10.5, respectively. We segregated these cells by type using unsupervised bioinformatic analysis and identified chamber-specific genes. Using a random forest algorithm, we reconstructed the spatial origin of single e9.5 and e10.5 cardiomyocytes with 92.0+/-3.2% and 91.2+/-2.8% accuracy respectively (99.4+/-1.0% and 99.1+/-1.1% if a +/-1 zone margin is permitted) and predicted the second heart field distribution of Isl1-lineage descendants. When applied to Nkx2-5-/- cardiomyocytes from murine e9.5 hearts, we showed their transcriptional alteration and lack of ventricular phenotype. Our database and zone classification algorithm will enable the discovery of novel mechanisms in early cardiac development and disease.
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Cites
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Reconstructing lineage hierarchies of the distal lung epithelium using single-cell RNA-seq
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Self-citationIsl1Cre reveals a common Bmp pathway in heart and limb development
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Cited by
Friedman, C. E., Nguyen, Q., Lukowski, S. W., Helfer, A., Chiu, H. S., Miklas, J., Levy, S., Suo, S., Han, J.-D. J., Osteil, P., et al. (2018) · Cell Stem Cell · doi:10.1016/j.stem.2018.09.009 · Cited by 258
Churko, J. M., Garg, P., Treutlein, B., Venkatasubramanian, M., Wu, H., Lee, J., Wessells, Q. N., Chen, S.-Y., Chen, W.-Y., Chetal, K., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-07333-4 · Cited by 207
Mantri, M., Scuderi, G. J., Abedini-Nassab, R., Wang, M. F. Z., McKellar, D., Shi, H., Grodner, B., Butcher, J. T., & De Vlaminck, I. (2021) · Nature Communications · doi:10.1038/s41467-021-21892-z · Cited by 205
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Single-cell transcriptomics for the assessment of cardiac disease
Miranda, A. M. A., Janbandhu, V., Maatz, H., Kanemaru, K., Cranley, J., Teichmann, S. A., Hübner, N., Schneider, M. D., Harvey, R. P., & Noseda, M. (2023) · Nature Reviews Cardiology · doi:10.1038/s41569-022-00805-7 · Cited by 117
Metadata
- Authors
- Li, G., Xu, A., Sim, S., Priest, J. R., Tian, X., Khan, T., Quertermous, T., Zhou, B., Tsao, P. S., Quake, S. R., & Wu, S. M.
- Venue
- Developmental Cell
- Publisher
- Elsevier BV
- Published
- 2016-11
- Volume
- 39
- Issue
- 4
- Pages
- 491-507
- ISSN
- 1534-5807 (ISSN-L)
- OpenAlex
- W2555626725
- Cited by
- 251
- References
- 11
- FWCI
- 10.83
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Li, G., Xu, A., Sim, S., Priest, J. R., Tian, X., Khan, T., Quertermous, T., Zhou, B., Tsao, P. S., Quake, S. R., & Wu, S. M. (2016). Transcriptomic Profiling Maps Anatomically Patterned Subpopulations among Single Embryonic Cardiac Cells. Developmental Cell. https://doi.org/10.1016/j.devcel.2016.10.014
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
