The DOI matches its Crossref record; 283 of the 283 references it cites were found in a registry or an index.
New opportunities and challenges of natural products research: When target identification meets single-cell multiomics
Open accessAbstract
Natural products, and especially the active ingredients found in traditional Chinese medicine (TCM), have a thousand-year-long history of clinical use and a strong theoretical basis in TCM. As such, traditional remedies provide shortcuts for the development of original new drugs in China, and increasing numbers of natural products are showing great therapeutic potential in various diseases. This paper reviews the molecular mechanisms of action of natural products from different sources used in the treatment of inflammatory diseases and cancer, introduces the methods and newly emerging technologies used to identify and validate the targets of natural active ingredients, enumerates the expansive list of TCM used to treat inflammatory diseases and cancer, and summarizes the patterns of action of emerging technologies such as single-cell multiomics, network pharmacology, and artificial intelligence in the pharmacological studies of natural products to provide insights for the development of innovative natural product-based drugs. Our hope is that we can make use of advances in target identification and single-cell multiomics to obtain a deeper understanding of actions of mechanisms of natural products that will allow innovation and revitalization of TCM and its swift industrialization and internationalization.
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1 retracted
Zhou, J., Jiang, Y., Chen, H., Wu, Y., & Zhang, L. (2020) · Cell Proliferation · doi:10.1111/cpr.12739 · Cited by 322
RetractedMassively 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
Trapnell, C., Cacchiarelli, D., Grimsby, J., Pokharel, P., Li, S., Morse, M., Lennon, N. J., Livak, K. J., Mikkelsen, T. S., & Rinn, J. L. (2014) · Nature Biotechnology · doi:10.1038/nbt.2859 · Cited by 7,314
The single-cell transcriptional landscape of mammalian organogenesis
Cao, J., Spielmann, M., Qiu, X., Huang, X., Ibrahim, D. M., Hill, A. J., Zhang, F., Mundlos, S., Christiansen, L., Steemers, F. J., et al. (2019) · Nature · doi:10.1038/s41586-019-0969-x · Cited by 4,490
The Achilles' heel of senescent cells: from transcriptome to senolytic drugs
Zhu, Y., Tchkonia, T., Pirtskhalava, T., Gower, A. C., Ding, H., Giorgadze, N., Palmer, A. K., Ikeno, Y., Hubbard, G. B., Lenburg, M., et al. (2015) · Aging Cell · doi:10.1111/acel.12344 · Cited by 2,584
Self-citationThe re-emergence of natural products for drug discovery in the genomics era
Harvey, A. L., Edrada-Ebel, R., & Quinn, R. J. (2015) · Nature Reviews Drug Discovery · doi:10.1038/nrd4510 · Cited by 2,572
Wu, C., Liu, Y., Yang, Y., Zhang, P., Zhong, W., Wang, Y., Wang, Q., Xu, Y., Li, M., Li, X., et al. (2020) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2020.02.008 · Cited by 2,330
Senolytics improve physical function and increase lifespan in old age
Xu, M., Pirtskhalava, T., Farr, J. N., Weigand, B. M., Palmer, A. K., Weivoda, M. M., Inman, C. L., Ogrodnik, M. B., Hachfeld, C. M., Fraser, D. G., et al. (2018) · Nature Medicine · doi:10.1038/s41591-018-0092-9 · Cited by 2,287
Monitoring Drug Target Engagement in Cells and Tissues Using the Cellular Thermal Shift Assay
Molina, D. M., Jafari, R., Ignatushchenko, M., Seki, T., Larsson, E. A., Dan, C., Sreekumar, L., Cao, Y., & Nordlund, P. (2013) · Science · doi:10.1126/science.1233606 · Cited by 2,261
Cellular senescence mediates fibrotic pulmonary disease
Schafer, M. J., White, T. A., Iijima, K., Haak, A. J., Ligresti, G., Atkinson, E. J., Oberg, A. L., Birch, J., Salmonowicz, H., Zhu, Y., et al. (2017) · Nature Communications · doi:10.1038/ncomms14532 · Cited by 1,613
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Natural Products as Anticancer Agents: Current Status and Future Perspectives
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Signaling pathways in Parkinson’s disease: molecular mechanisms and therapeutic interventions
Dong-Chen, X., Yong, C., Yang, X., Chen-Yu, S., & Li-Hua, P. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01353-3 · Cited by 469
Single-cell sequencing to multi-omics: technologies and applications
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Metadata
- Authors
- Zhu, Y., Ouyang, Z., Du, H., Wang, M., Wang, J., Sun, H., Kong, L., Xu, Q., Ma, H., & Sun, Y.
- Venue
- Acta Pharmaceutica Sinica B
- Publisher
- Elsevier BV
- Published
- 2022-11
- Volume
- 12
- Issue
- 11
- Pages
- 4011-4039
- ISSN
- 2211-3835 (ISSN-L)
- OpenAlex
- W4293340862
- Cited by
- 414
- References
- 283
- FWCI
- 75.09
- Type
- journal article
- Language
- en
- Open access
- gold
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- Zhu, Y., Ouyang, Z., Du, H., Wang, M., Wang, J., Sun, H., Kong, L., Xu, Q., Ma, H., & Sun, Y. (2022). New opportunities and challenges of natural products research: When target identification meets single-cell multiomics. Acta Pharmaceutica Sinica B. https://doi.org/10.1016/j.apsb.2022.08.022
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