The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
Differentiated human airway organoids to assess infectivity of emerging influenza virus
Open accessAbstract
Significance: Influenza virus infection represents a major threat to public health worldwide. There is no biologically relevant, reproducible, and readily available in vitro model for predicting the infectivity of influenza viruses in humans. Based on the long-term expanding 3D human airway organoids, we developed proximal differentiation and further established a 2D monolayer culture of airway organoids. The resultant 3D and 2D proximal differentiated airway organoids can morphologically and functionally simulate human airway epithelium and as a proof of concept can discriminate human-infective influenza viruses from poorly human-infective viruses. Thus, the proximal differentiated airway organoids can be utilized to predict the infectivity of influenza viruses and, more broadly, provide a universal platform for studying the biology and pathology of the human airway.
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Organoid Models and Applications in Biomedical Research
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Self-citationEmergence of a Novel Swine-Origin Influenza A (H1N1) Virus in Humans
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Long‐term expanding human airway organoids for disease modeling
Sachs, N., Papaspyropoulos, A., Zomer‐van Ommen, D. D., Heo, I., Böttinger, L., Klay, D., Weeber, F., Huelsz‐Prince, G., Iakobachvili, N., Amatngalim, G. D., et al. (2019) · The EMBO Journal · doi:10.15252/embj.2018100300 · Cited by 1,082
Self-citationChen, Y., Liang, W., Yang, S., Wu, N., Gao, H., Sheng, J., Yao, H., Wo, J., Fang, Q., Cui, D., et al. (2013) · The Lancet · doi:10.1016/s0140-6736(13)60903-4 · Cited by 827
Self-citationHuman and avian influenza viruses target different cell types in cultures of human airway epithelium
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A three-dimensional model of human lung development and disease from pluripotent stem cells
Chen, Y.-W., Huang, S. X., de Carvalho, A. L. R. T., Ho, S.-H., Islam, M. N., Volpi, S., Notarangelo, L. D., Ciancanelli, M., Casanova, J.-L., Bhattacharya, J., et al. (2017) · Nature Cell Biology · doi:10.1038/ncb3510 · Cited by 608
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Cited by
Human organoids: model systems for human biology and medicine
Kim, J., Koo, B.-K., & Knoblich, J. A. (2020) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-020-0259-3 · Cited by 2,187
Hofer, M., & Lutolf, M. P. (2021) · Nature Reviews Materials · doi:10.1038/s41578-021-00279-y · Cited by 1,184
Long‐term expanding human airway organoids for disease modeling
Sachs, N., Papaspyropoulos, A., Zomer‐van Ommen, D. D., Heo, I., Böttinger, L., Klay, D., Weeber, F., Huelsz‐Prince, G., Iakobachvili, N., Amatngalim, G. D., et al. (2019) · The EMBO Journal · doi:10.15252/embj.2018100300 · Cited by 1,082
Self-citationAmplification-free detection of SARS-CoV-2 with CRISPR-Cas13a and mobile phone microscopy
Fozouni, P., Son, S., Díaz de León Derby, M., Knott, G. J., Gray, C. N., D’Ambrosio, M. V., Zhao, C., Switz, N. A., Kumar, G. R., Stephens, S. I., et al. (2021) · Cell · doi:10.1016/j.cell.2020.12.001 · Cited by 1,047
Lamers, M. M., & Haagmans, B. L. (2022) · Nature Reviews Microbiology · doi:10.1038/s41579-022-00713-0 · Cited by 983
Metadata
- Authors
- Zhou, J., Li, C., Sachs, N., Chiu, M. C., Wong, B. H.-Y., Chu, H., Poon, V. K.-M., Wang, D., Zhao, X., Wen, L., Song, W., Yuan, S., Wong, K. K.-Y., Chan, J. F.-W., To, K. K.-W., Chen, H., Clevers, H., & Yuen, K.-Y.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2018-06-11
- Volume
- 115
- Issue
- 26
- Pages
- 6822-6827
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2807853324
- Cited by
- 317
- References
- 24
- FWCI
- 18.41
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Zhou, J., Li, C., Sachs, N., Chiu, M. C., Wong, B. H.-Y., Chu, H., Poon, V. K.-M., Wang, D., Zhao, X., Wen, L., Song, W., Yuan, S., Wong, K. K.-Y., Chan, J. F.-W., To, K. K.-W., Chen, H., Clevers, H., & Yuen, K.-Y. (2018). Differentiated human airway organoids to assess infectivity of emerging influenza virus. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1806308115
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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