Title |
Current approaches in identification and isolation of human renal cell carcinoma cancer stem cells
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Published in |
Stem Cell Research & Therapy, September 2015
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DOI | 10.1186/s13287-015-0177-z |
Pubmed ID | |
Authors |
Mohammed I. Khan, Anna M. Czarnecka, Igor Helbrecht, Ewa Bartnik, Fei Lian, Cezary Szczylik |
Abstract |
In recent years, cancer stem cells (CSCs)/tumor initiating cells (TICs) have been identified inside different tumors. However, currently used anti-cancer therapies are mostly directed against somatic tumor cells without targeting CSCs/TICs. CSCs/TICs also gain resistance to chemotherapies/radiotherapies. For the development of efficient treatment strategies, choosing the best method for isolation and characterization of CSCs/TICs is still debated among the scientific community. In this review, we summarize recent data concerning isolation techniques for CSCs using magnetic cell sorting and flow cytometry. The review focuses on the strategies for sample preparation during flow cytometric analysis, elaborating biomarkers such as CXCR4, CD105, and CD133. In addition, functional properties characteristic of CSCs/TICs using side population selection through Hoechst 33342 dye, aldehyde dehydrogenase 1, dye-cycle violet, and rhodamine 123 are also discussed. We also include a special focus on enriching CSCs/TICs using three-dimensional cell culture models such as agarose-agarose microbeads and sphere formation. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 56 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 14 | 25% |
Student > Master | 7 | 13% |
Student > Bachelor | 7 | 13% |
Researcher | 5 | 9% |
Student > Doctoral Student | 4 | 7% |
Other | 8 | 14% |
Unknown | 11 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 14 | 25% |
Biochemistry, Genetics and Molecular Biology | 9 | 16% |
Medicine and Dentistry | 8 | 14% |
Engineering | 3 | 5% |
Veterinary Science and Veterinary Medicine | 3 | 5% |
Other | 7 | 13% |
Unknown | 12 | 21% |