The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Technologies for Single-Cell Isolation
Open accessAbstract
The handling of single cells is of great importance in applications such as cell line development or single-cell analysis, e.g., for cancer research or for emerging diagnostic methods. This review provides an overview of technologies that are currently used or in development to isolate single cells for subsequent single-cell analysis. Data from a dedicated online market survey conducted to identify the most relevant technologies, presented here for the first time, shows that FACS (fluorescence activated cell sorting) respectively Flow cytometry (33% usage), laser microdissection (17%), manual cell picking (17%), random seeding/dilution (15%), and microfluidics/lab-on-a-chip devices (12%) are currently the most frequently used technologies. These most prominent technologies are described in detail and key performance factors are discussed. The survey data indicates a further increasing interest in single-cell isolation tools for the coming years. Additionally, a worldwide patent search was performed to screen for emerging technologies that might become relevant in the future. In total 179 patents were found, out of which 25 were evaluated by screening the title and abstract to be relevant to the field.
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Citations
Cites
The origins and the future of microfluidics
Whitesides, G. M. (2006) · Nature · doi:10.1038/nature05058 · Cited by 9,687
Single-cell sequencing-based technologies will revolutionize whole-organism science
Shapiro, E., Biezuner, T., & Linnarsson, S. (2013) · Nature Reviews Genetics · doi:10.1038/nrg3542 · Cited by 1,177
Cited by
Culturing the human microbiota and culturomics
Lagier, J.-C., Dubourg, G., Million, M., Cadoret, F., Bilen, M., Fenollar, F., Levasseur, A., Rolain, J.-M., Fournier, P.-E., & Raoult, D. (2018) · Nature Reviews Microbiology · doi:10.1038/s41579-018-0041-0 · Cited by 872
Single Cell Isolation and Analysis
Hu, P., Zhang, W., Xin, H., & Deng, G. (2016) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2016.00116 · Cited by 384
Xu, Y., Su, G.-H., Ma, D., Xiao, Y., Shao, Z.-M., & Jiang, Y.-Z. (2021) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-021-00729-7 · Cited by 163
“135 138 No longer limited by predetermined targets as fl ow cytometry, an individual cell can be sequenced using the standard NGS protocol to obtain unbiased multi-omics pro fi ling that can be used to identify “ THE UNKNOWN UNKNOWN ” .”
MethodDeep learning in spatial transcriptomics: Learning from the next next-generation sequencing
Heydari, A. A., & Sindi, S. S. (2023) · Biophysics Reviews · doi:10.1063/5.0091135 · Cited by 44
Park, E. S., Yan, J. P., Ang, R. A., Lee, J. H., Deng, X., Duffy, S. P., Beja, K., Annala, M., Black, P. C., Chi, K. N., et al. (2018) · Lab on a Chip · doi:10.1039/c8lc00184g · Cited by 34
Metadata
- Authors
- Gross, A., Schoendube, J., Zimmermann, S., Steeb, M., Zengerle, R., & Koltay, P.
- Venue
- International Journal of Molecular Sciences
- Publisher
- MDPI AG
- Published
- 2015-07-24
- Volume
- 16
- Issue
- 8
- Pages
- 16897-16919
- ISSN
- 1422-0067 (ISSN-L)
- OpenAlex
- W1762951073
- Cited by
- 445
- References
- 2
- FWCI
- 12.42
- Type
- journal article
- Language
- en
- Open access
- gold
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- Gross, A., Schoendube, J., Zimmermann, S., Steeb, M., Zengerle, R., & Koltay, P. (2015). Technologies for Single-Cell Isolation. International Journal of Molecular Sciences. https://doi.org/10.3390/ijms160816897
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