2018
DOI: 10.1007/7651_2018_151
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Magnetic-Based Cell Isolation Technique for the Selection of Stem Cells

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Cited by 8 publications
(6 citation statements)
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“…After removing red blood cells and dead cells, the isolated single cells were applied to magnetic cell sorting (MACS) according to the method of Korkusuz et al 26 . Pdgfra + cells and Pdgfra − cells were separated using magnetic microbeads conjugated with anti‐Pdgfra (CD140a) antibody (CD140a antibody, anti‐mouse, 130‐101‐905, Miltenyi Biotec, Bergisch Gladbach, Germany).…”
Section: Methodsmentioning
confidence: 99%
“…After removing red blood cells and dead cells, the isolated single cells were applied to magnetic cell sorting (MACS) according to the method of Korkusuz et al 26 . Pdgfra + cells and Pdgfra − cells were separated using magnetic microbeads conjugated with anti‐Pdgfra (CD140a) antibody (CD140a antibody, anti‐mouse, 130‐101‐905, Miltenyi Biotec, Bergisch Gladbach, Germany).…”
Section: Methodsmentioning
confidence: 99%
“…Magnetic beads are conjugated to highly specific monoclonal antibodies that recognize CCSC marker on the surface of cells of interest. Then, the heterogeneous suspension of cells is passed through a separation column, in a magnetic field, to retain the cells labeled with magnetic beads and antibodies [ 45 ]. By switching off the magnetic field, target cells will be eluted.…”
Section: Colorectal Cancer Stem Cellsmentioning
confidence: 99%
“…MACS is a fast and easy method of cell separation, especially for the isolation of CCSCs that represent a small cell population in the tumor mass. However, MACS is only a mono-parameter separation method that requires cell labelling and is unable to separate cells based on the variable expression of markers [ 44 , 45 ].…”
Section: Colorectal Cancer Stem Cellsmentioning
confidence: 99%
“…The more calibrated samples in the runner of the disc, the large number of isolated samples will be obtained. This helps to improve the accuracy of detection [15]. Therefore, the pattern of the disc was designed as shown in Figure 1a.…”
Section: Design the Pattern Of The Discmentioning
confidence: 99%