Department of Statistics, Stanford University, Stanford, California, United States of America.
PLoS One. 2011 Mar 9;6(3):e17536. doi: 10.1371/journal.pone.0017536.
We show that high quality microarray gene expression profiles can be obtained following FACS sorting of cells using combinations of transcription factors. We use this transcription factor FACS (tfFACS) methodology to perform a genomic analysis of hESC-derived endodermal lineages marked by combinations of SOX17, GATA4, and CXCR4, and find that triple positive cells have a much stronger definitive endoderm signature than other combinations of these markers. Additionally, SOX17(+) GATA4(+) cells can be obtained at a much earlier stage of differentiation, prior to expression of CXCR4(+) cells, providing an important new tool to isolate this earlier definitive endoderm subtype. Overall, tfFACS represents an advancement in FACS technology which broadly crosses multiple disciplines, most notably in regenerative medicine to redefine cellular populations.
我们证明,通过使用转录因子组合对细胞进行 FACS 分选,可以获得高质量的微阵列基因表达谱。我们使用这种转录因子 FACS(tfFACS)方法对 SOX17、GATA4 和 CXCR4 标记的 hESC 衍生内胚层谱系进行基因组分析,发现三阳性细胞具有比其他这些标记组合更强的明确内胚层特征。此外,SOX17(+) GATA4(+)细胞可以在 CXCR4(+)细胞表达之前的更早分化阶段获得,为分离这种早期明确内胚层亚型提供了一个重要的新工具。总的来说,tfFACS 代表了 FACS 技术的一项进步,广泛跨越了多个学科,特别是在再生医学领域,以重新定义细胞群体。