Tome-Garcia, Jessica and Tejero, Rut and Nudelman, German and Yong, Raymund L. and Sebra, Robert and Wang, Huaien and Fowkes, Mary and Magid, Margret and Walsh, Martin and Silva-Vargas, Violeta and Zaslavsky, Elena and Friedel, Roland H. and Doetsch, Fiona and Tsankova, Nadejda M.. (2017) Prospective Isolation and Comparison of Human Germinal Matrix and Glioblastoma EGFR(+) Populations with Stem Cell Properties. Stem Cell Reports, 8 (5). pp. 1421-1429.
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Official URL: http://edoc.unibas.ch/55559/
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Abstract
Characterization of non-neoplastic and malignant human stem cell populations in their native state can provide new insights into gliomagenesis. Here we developed a purification strategy to directly isolate EGFR(+/-) populations from human germinal matrix (GM) and adult subventricular zone autopsy tissues, and from de novo glioblastoma (GBM) resections, enriching for cells capable of binding EGF ligand ((LB)EGFR(+)), and uniquely compared their functional and molecular properties. (LB)EGFR(+) populations in both GM and GBM encompassed all sphere-forming cells and displayed proliferative stem cell properties in vitro. In xenografts, (LB)EGFR(+) GBM cells showed robust tumor initiation and progression to high-grade, infiltrative gliomas. Whole-transcriptome sequencing analysis confirmed enrichment of proliferative pathways in both developing and neoplastic freshly isolated EGFR(+) populations, and identified both unique and shared sets of genes. The ability to prospectively isolate stem cell populations using native ligand-binding capacity opens new doors onto understanding both normal human development and tumor cell biology.
Faculties and Departments: | 05 Faculty of Science > Departement Biozentrum > Neurobiology > Stem Cell Biology (Doetsch) |
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UniBasel Contributors: | Doetsch, Fiona and Silva Vargas, Violeta |
Item Type: | Article, refereed |
Article Subtype: | Research Article |
Publisher: | Elsevier |
ISSN: | 2213-6711 |
Note: | Publication type according to Uni Basel Research Database: Journal article |
Identification Number: |
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Last Modified: | 20 Oct 2017 06:48 |
Deposited On: | 20 Oct 2017 06:48 |
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