The DOI matches its Crossref record; 96 of the 96 references it cites were found in a registry or an index.
Single Cell Isolation and Analysis
Open accessAbstract
Individual cell heterogeneity within a population can be critical to its peculiar function and fate. Subpopulations studies with mixed mutants and wild types may not be as informative regarding which cell responds to which drugs or clinical treatments. Cell to cell differences in RNA transcripts and protein expression can be key to answering questions in cancer, neurobiology, stem cell biology, immunology, and developmental biology. Conventional cell-based assays mainly analyze the average responses from a population of cells, without regarding individual cell phenotypes. To better understand the variations from cell to cell, scientists need to use single cell analyses to provide more detailed information for therapeutic decision making in precision medicine. In this review, we focus on the recent developments in single cell isolation and analysis, which include technologies, analyses and main applications. Here, we summarize the historical background, limitations, applications, and potential of single cell isolation technologies.
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Cites
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Cited by
Zhao, Z., Chen, X., Dowbaj, A. M., Sljukic, A., Bratlie, K., Lin, L., Fong, E. L. S., Balachander, G. M., Chen, Z., Soragni, A., et al. (2022) · Nature Reviews Methods Primers · doi:10.1038/s43586-022-00174-y · Cited by 1,082
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Single-cell multiomics: technologies and data analysis methods
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Metadata
- Authors
- Hu, P., Zhang, W., Xin, H., & Deng, G.
- Venue
- Frontiers in Cell and Developmental Biology
- Publisher
- Frontiers Media SA
- Published
- 2016-10-25
- Volume
- 4
- Pages
- 116-116
- ISSN
- 2296-634X (ISSN-L)
- OpenAlex
- W2535231956
- Cited by
- 384
- References
- 96
- FWCI
- 14.14
- Type
- journal article
- Language
- en
- Open access
- gold
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