Mass Cytometry for the Characterization of Individual Cell Types in Ovarian Solid Tumors
Methods in Molecular Biology, ISSN: 1940-6029, Vol: 2424, Page: 59-94
2022
- 8Citations
- 9Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Metrics Details
- Citations8
- Citation Indexes8
- Captures9
- Readers9
Book Chapter Description
Mass cytometry aka Cytometry by Time-Of-Flight (CyTOF) is one of several recently developed multiparametric single-cell technologies designed to address cellular heterogeneity within healthy and diseased tissue. Mass cytometry is an adaptation of flow cytometry in which antibodies are labeled with stable heavy metal isotopes and the readout is by time-of-flight mass spectrometry. With minimal spillover between channels, mass cytometry enables readouts of up to 60 parameters per single cell. Critically, mass cytometry can identify minority cell populations that are lost in bulk tissue analysis. Mass cytometry has been used to great effect for the study of immune cells. We have extended its use to examine single cells within disaggregated solid tissues, specifically freshly resected tubo-ovarian high-grade serous tumors. Here we detail our protocols designed to ensure the production of high-quality single-cell datasets. The methodology can be modified to accommodate the study of other solid tissues.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85121717003&origin=inward; http://dx.doi.org/10.1007/978-1-0716-1956-8_4; http://www.ncbi.nlm.nih.gov/pubmed/34918287; https://link.springer.com/10.1007/978-1-0716-1956-8_4; https://dx.doi.org/10.1007/978-1-0716-1956-8_4; https://link.springer.com/protocol/10.1007/978-1-0716-1956-8_4
Springer Science and Business Media LLC
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