The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Single-Cell RNA-Seq Analysis of Retinal Development Identifies NFI Factors as Regulating Mitotic Exit and Late-Born Cell Specification
Open accessAbstract
Summary Precise temporal control of gene expression in neuronal progenitors is necessary for correct regulation of neurogenesis and cell fate specification. However, the cellular heterogeneity of the developing CNS has posed a major obstacle to identifying the gene regulatory networks that control these processes. To address this, we used single cell RNA-sequencing to profile ten developmental stages encompassing the full course of retinal neurogenesis. This allowed us to comprehensively characterize changes in gene expression that occur during initiation of neurogenesis, changes in developmental competence, and specification and differentiation of each major retinal cell type. We identify NFI transcription factors (Nfia, Nfib, and Nfix) as selectively expressed in late RPCs, and show they control bipolar interneuron and Müller glia cell fate specification and promote proliferative quiescence.
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Citations
Cites
Massively parallel digital transcriptional profiling of single cells
Zheng, G. X. Y., Terry, J. M., Belgrader, P., Ryvkin, P., Bent, Z. W., Wilson, R., Ziraldo, S. B., Wheeler, T. D., McDermott, G. P., Zhu, J., et al. (2017) · Nature Communications · doi:10.1038/ncomms14049 · Cited by 7,353
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Recovering Gene Interactions from Single-Cell Data Using Data Diffusion
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Comprehensive Classification of Retinal Bipolar Neurons by Single-Cell Transcriptomics
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Molecular diversity of midbrain development in mouse, human, and stem cells
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The transcription factor NFIA controls the onset of gliogenesis in the developing spinal cord
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Self-citationDevelopmental diversification of cortical inhibitory interneurons
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“ScRNA-seq studies of neurogenesis in other brain regions profiled only a few thousand cells at many fewer developmental ages (La Manno et al., 2016; Mayer et al., 2018; Nowakowski et al., 2017; Zhong et al., 2018), and thus do not fully capture the transcriptional changes associated with the initiation of neurogenesis…”
Sox9 and NFIA coordinate a transcriptional regulatory cascade during the initiation of gliogenesis
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Pluripotent stem cell-derived retinal organoids for disease modeling and development of therapies
Kruczek, K., & Swaroop, A. (2020) · Stem Cells · doi:10.1002/stem.3239 · Cited by 148
ASCOT identifies key regulators of neuronal subtype-specific splicing
Ling, J. P., Wilks, C., Charles, R., Leavey, P. J., Ghosh, D., Jiang, L., Santiago, C. P., Pang, B., Venkataraman, A., Clark, B. S., et al. (2020) · Nature Communications · doi:10.1038/s41467-019-14020-5 · Cited by 107
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VEGF-B prevents excessive angiogenesis by inhibiting FGF2/FGFR1 pathway
Lee, C., Chen, R., Sun, G., Liu, X., Lin, X., He, C., Xing, L., Liu, L., Jensen, L. D., Kumar, A., et al. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01539-9 · Cited by 72
Metadata
- Authors
- Clark, B. S., Stein-O’Brien, G. L., Shiau, F., Cannon, G. H., Davis-Marcisak, E., Sherman, T., Santiago, C. P., Hoang, T. V., Rajaii, F., James-Esposito, R. E., Gronostajski, R. M., Fertig, E. J., Goff, L. A., & Blackshaw, S.
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2019-06
- Volume
- 102
- Issue
- 6
- Pages
- 1111-1126.e5
- ISSN
- 0896-6273 (ISSN-L)
- OpenAlex
- W2946389085
- Cited by
- 522
- References
- 12
- FWCI
- 18.69
- Type
- journal article
- Language
- en
- Open access
- bronze
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- The paper
- Clark, B. S., Stein-O’Brien, G. L., Shiau, F., Cannon, G. H., Davis-Marcisak, E., Sherman, T., Santiago, C. P., Hoang, T. V., Rajaii, F., James-Esposito, R. E., Gronostajski, R. M., Fertig, E. J., Goff, L. A., & Blackshaw, S. (2019). Single-Cell RNA-Seq Analysis of Retinal Development Identifies NFI Factors as Regulating Mitotic Exit and Late-Born Cell Specification. Neuron. https://doi.org/10.1016/j.neuron.2019.04.010
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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.