| Literature DB >> 27420544 |
Daniel Gallego-Perez1,2,3,4, Lingqian Chang2,3, Junfeng Shi3,5, Junyu Ma3, Sung-Hak Kim6, Xi Zhao3,7, Veysi Malkoc3,7, Xinmei Wang3,7, Mutsuko Minata6, Kwang J Kwak3,7, Yun Wu3, Gregory P Lafyatis8, Wu Lu9, Derek J Hansford2,3, Ichiro Nakano6, L James Lee3,4,7.
Abstract
Enhanced glioma-stem-cell (GSC) motility and therapy resistance are considered to play key roles in tumor cell dissemination and recurrence. As such, a better understanding of the mechanisms by which these cells disseminate and withstand therapy could lead to more efficacious treatments. Here, we introduce a novel micro-/nanotechnology-enabled chip platform for performing live-cell interrogation of patient-derived GSCs with single-clone resolution. On-chip analysis revealed marked intertumoral differences (>10-fold) in single-clone motility profiles between two populations of GSCs, which correlated well with results from tumor-xenograft experiments and gene-expression analyses. Further chip-based examination of the more-aggressive GSC population revealed pronounced interclonal variations in motility capabilities (up to ∼4-fold) as well as gene-expression profiles at the single-cell level. Chip-supported therapy resistance studies with a chemotherapeutic agent (i.e., temozolomide) and an oligo RNA (anti-miR363) revealed a subpopulation of CD44-high GSCs with strong antiapoptotic behavior as well as enhanced motility capabilities. The living-cell-interrogation chip platform described herein enables thorough and large-scale live monitoring of heterogeneous cancer-cell populations with single-cell resolution, which is not achievable by any other existing technology and thus has the potential to provide new insights into the cellular and molecular mechanisms modulating glioma-stem-cell dissemination and therapy resistance.Entities:
Keywords: Living single-cell analysis; anti-microRNA; cancer stem cell; cell motility; glioblastoma; nanochannel electroporation
Mesh:
Year: 2016 PMID: 27420544 PMCID: PMC5040341 DOI: 10.1021/acs.nanolett.6b00902
Source DB: PubMed Journal: Nano Lett ISSN: 1530-6984 Impact factor: 11.189