2010
DOI: 10.3892/ijmm_00000418
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Glioblastoma cells negative for the anti-CD133 antibody AC133 express a truncated variant of the CD133 protein

Abstract: Abstract. The transmembrane glycoprotein CD133 is a marker commonly used for isolation and analysis of putative cancer stem-like cells. However, analysis of CD133 expression is potentially confounded by the fact that two of the commonly used anti-CD133 antibodies, AC133 and 293C, only recognize CD133 that has undergone glycosylation. Therefore, our aim was to thoroughly examine antibody recognition and mRNA expression of CD133 in glioblastoma multiforme. Glioblastoma cell lines and primary cultures obtained fr… Show more

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Cited by 15 publications
(4 citation statements)
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“…1 b) [ 10 ]. A 16-kDa truncated variant of the CD133 protein has also been reported in glioblastoma cell lines [ 109 ]. Yet, the precise nature of this potential short form would require further investigation.…”
Section: Molecular Biology Of Cd133mentioning
confidence: 99%
“…1 b) [ 10 ]. A 16-kDa truncated variant of the CD133 protein has also been reported in glioblastoma cell lines [ 109 ]. Yet, the precise nature of this potential short form would require further investigation.…”
Section: Molecular Biology Of Cd133mentioning
confidence: 99%
“…The use of different clones of antibodies against CD133 can lead to differences in tissue staining patterns. Partly, this may be due to the detection of alternative splice variants, either tissue-specific or appearing in tumor cells [ 137 ]. However, the absence of binding to extracellular loops is more likely to indicate a change in glycosylation.…”
Section: Conclusion and Future Perspectivesmentioning
confidence: 99%
“…Given its superficial location, detection of CD133 may vary depending on several factors such as cell-microenvironment interactions and epigenetic influences. Careful analysis of its informational value is recommended as immediate cell-extracellular matrix (ECM) disassociation, extended in vitro culture, and/or equivocal epitope recognition may give rise to false-negative results (Clément et al, 2009;Osmond et al, 2010;Campos et al, 2011).…”
Section: Glioma Cancer Stem Cellsmentioning
confidence: 99%