Literature DB >> 22311742

Flow cytometry in cancer stem cell analysis and separation.

Burkhard Greve1, Reinhard Kelsch, Kristina Spaniol, Hans Theodor Eich, Martin Götte.   

Abstract

In recent years, a special type of cancer cell--the cancer stem cell (CSC)--has been identified and characterized for different tumors. CSCs may be responsible for the recurrence of a tumor following a primarily successful therapy and are thought to bear a high metastatic potential. For the development of efficient treatment strategies, the establishment of reliable methods for the identification and effective isolation of CSCs is imperative. Similar to their stem cell counterparts in bone marrow or small intestine, different cluster of differentiation surface antigens have been characterized, thus enabling researchers to identify them within the tumor bulk and to determine their degree of differentiation. In addition, functional properties characteristic of stem cells can be measured. Side population analysis is based on the stem cell-specific activity of certain ATP-binding cassette transporter proteins, which are able to transport fluorescent dyes out of the cells. Furthermore, the stem cell-specific presence of aldehyde dehydrogenase isoform 1 can be used for CSC labeling. However, the flow cytometric analysis of these CSC functional features requires specific technical adjustments. This review focuses on the principles and strategies of the flow cytometric analysis of CSCs and provides an overview of current protocols as well as technical requirements and pitfalls. A special focus is set on side population analysis and analysis of ALDH activity. Flow cytometry-based sorting principles and future flow cytometric applications for CSC analysis are also discussed.
Copyright © 2012 International Society for Advancement of Cytometry.

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Year:  2012        PMID: 22311742     DOI: 10.1002/cyto.a.22022

Source DB:  PubMed          Journal:  Cytometry A        ISSN: 1552-4922            Impact factor:   4.355


  43 in total

Review 1.  [Cancer stem cells and high-throughput screening methods].

Authors:  A Dubrovska; A Abdollahi; I Tinhofer
Journal:  Strahlenther Onkol       Date:  2012-11       Impact factor: 3.621

Review 2.  Cancer stem cells: a systems biology view of their role in prognosis and therapy.

Authors:  Susan D Mertins
Journal:  Anticancer Drugs       Date:  2014-04       Impact factor: 2.248

3.  Retinoic Acid Signaling Coordinates Macrophage-Dependent Injury and Repair after AKI.

Authors:  Takuto Chiba; Nataliya I Skrypnyk; Lauren Brilli Skvarca; Radostin Penchev; Ke Xin Zhang; Elizabeth R Rochon; Jessica L Fall; Paisit Paueksakon; Haichun Yang; Catherine E Alford; Beth L Roman; Ming-Zhi Zhang; Raymond Harris; Neil A Hukriede; Mark P de Caestecker
Journal:  J Am Soc Nephrol       Date:  2015-06-24       Impact factor: 10.121

4.  Senescence-associated reprogramming promotes cancer stemness.

Authors:  Maja Milanovic; Dorothy N Y Fan; Dimitri Belenki; J Henry M Däbritz; Zhen Zhao; Yong Yu; Jan R Dörr; Lora Dimitrova; Dido Lenze; Ines A Monteiro Barbosa; Marco A Mendoza-Parra; Tamara Kanashova; Marlen Metzner; Katharina Pardon; Maurice Reimann; Andreas Trumpp; Bernd Dörken; Johannes Zuber; Hinrich Gronemeyer; Michael Hummel; Gunnar Dittmar; Soyoung Lee; Clemens A Schmitt
Journal:  Nature       Date:  2017-12-20       Impact factor: 49.962

Review 5.  Lung cancer stem cells-origin, characteristics and therapy.

Authors:  D Prabavathy; Y Swarnalatha; Niveditha Ramadoss
Journal:  Stem Cell Investig       Date:  2018-03-14

6.  Expression of Multidrug Resistance Transporter ABCB5 in a Murine Model of Human Conjunctival Melanoma.

Authors:  Nadine E de Waard; Paraskevi E Kolovou; Sean P McGuire; Jinfeng Cao; Natasha Y Frank; Markus H Frank; Martine J Jager; Bruce R Ksander
Journal:  Ocul Oncol Pathol       Date:  2015-04

7.  Mathematical modeling of PDGF-driven glioblastoma reveals optimized radiation dosing schedules.

Authors:  Kevin Leder; Ken Pitter; Quincey LaPlant; Dolores Hambardzumyan; Brian D Ross; Timothy A Chan; Eric C Holland; Franziska Michor
Journal:  Cell       Date:  2014-01-30       Impact factor: 41.582

8.  Harnessing the DNA Dye-triggered Side Population Phenotype to Detect and Purify Cancer Stem Cells from Biological Samples.

Authors:  Maximilian Boesch; Elisabeth Hoflehner; Dominik Wolf; Guenther Gastl; Sieghart Sopper
Journal:  J Vis Exp       Date:  2017-05-10       Impact factor: 1.355

9.  Cytometry in stem cell research and therapy.

Authors:  Vera S Donnenberg; Henning Ulrich; Attila Tárnok
Journal:  Cytometry A       Date:  2013-01       Impact factor: 4.355

10.  Salinomycin may inhibit the cancer stem-like populations with increased chemoradioresistance that nasopharyngeal cancer tumorspheres contain.

Authors:  Gong Zhang; Shuping Zhang; Jinjin Ren; Chunxiao Yao; Zhongren Zhao; Xiurong Qi; Xiaofeng Zhang; Shuye Wang; Lei Li
Journal:  Oncol Lett       Date:  2018-06-07       Impact factor: 2.967

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