Choice of selectable marker affects recombinant protein expression in cells and exosomes.
Choice of selectable marker affects recombinant protein expression in cells and exosomes.
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选择标记的选择会影响细胞和外泌体中的重组蛋白表达。
DOI:
10.1016/j.jbc.2021.100838
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发表时间:
2021-07
期刊:
影响因子:
--
通讯作者:
Gould SJ
中科院分区:
文献类型:
--
作者:
Guo C;Fordjour FK;Tsai SJ;Morrell JC;Gould SJ
Transgenic mammalian cells are used for numerous research, pharmaceutical, industrial, and clinical purposes, and dominant selectable markers are often used to enable the selection of transgenic cell lines. Using HEK293 cells, we show here that the choice of selectable marker gene has a significant impact on both the level of recombinant protein expression and the cell-to-cell variability in recombinant protein expression. Specifically, we observed that cell lines generated with the NeoR or BsdR selectable markers and selected in the antibiotics G418 or blasticidin, respectively, displayed the lowest level of recombinant protein expression as well as the greatest cell-to-cell variability in transgene expression. In contrast, cell lines generated with the BleoR marker and selected in zeocin yielded cell lines that expressed the highest levels of linked recombinant protein, approximately 10-fold higher than those selected using the NeoR or BsdR markers, as well as the lowest cell-to-cell variability in recombinant protein expression. Intermediate yet still-high levels of expression were observed in cells generated with the PuroR- or HygR-based vectors and that were selected in puromycin or hygromycin, respectively. Similar results were observed in the African green monkey cell line COS7. These data indicate that each combination of selectable marker and antibiotic establishes a threshold below which no cell can survive and that these thresholds vary significantly between different selectable markers. Moreover, we show that choice of selectable marker also affects recombinant protein expression in cell-derived exosomes, consistent with the hypothesis that exosome protein budding is a stochastic rather than determinative process.
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影响因子:
64.5
作者:
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通讯作者:
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影响因子:
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作者:
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DOI:
10.1073/pnas.78.4.2072
发表时间:
1981-01-01
期刊:
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA-BIOLOGICAL SCIENCES
影响因子:
--
作者:
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通讯作者:
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影响因子:
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作者:
KASTER, KR;BURGETT, SG;INGOLIA, TD
通讯作者:
INGOLIA, TD