...
首页> 外文期刊>Biosensors >In-Vitro Characterization of mCerulean3_mRuby3 as a Novel FRET Pair with Favorable Bleed-Through Characteristics
【24h】

In-Vitro Characterization of mCerulean3_mRuby3 as a Novel FRET Pair with Favorable Bleed-Through Characteristics

机译:体外表征mCerulean3_mRuby3作为具有良好排血特性的新型FRET对

获取原文
           

摘要

In previous studies, we encountered substantial problems using the CFP_YFP F?rster resonance energy transfer (FRET) pair to analyze protein proximity in the endoplasmic reticulum of live cells. Bleed-through of the donor emission into the FRET channel and overlap of the FRET emission wavelength with highly variable cellular autofluorescence significantly compromised the sensitivity of our analyses. Here, we propose mCerulean3 and mRuby3 as a new FRET pair to potentially overcome these problems. Fusion of the two partners with a trypsin-cleavable linker allowed the direct comparison of the FRET signal characteristics of the associated partners with those of the completely dissociated partners. We compared our new FRET pair with the canonical CFP_YFP and the more recent mClover3_mRuby3 pairs and found that, despite a lower total FRET signal intensity, the novel pair had a significantly better signal to noise ratio due to lower donor emission bleed-through. This and the fact that the mRuby3 emission spectrum did not overlap with that of common cellular autofluorescence renders the mCerulean3_mRuby3 FRET pair a promising alternative to the common CFP_YFP FRET pair for the interaction analysis of membrane proteins in living cells.
机译:在以前的研究中,我们使用CFP_YFP酯共振能转移(FRET)对分析活细胞内质网中的蛋白质邻近性时遇到了实质性问题。供体发射进入FRET通道的出血以及FRET发射波长与高度可变的细胞自发荧光的重叠显着损害了我们分析的灵敏度。在这里,我们建议将mCerulean3和mRuby3作为新的FRET对来潜在地克服这些问题。这两个伙伴与胰蛋白酶可切割的连接器的融合允许直接比较相关伙伴的FRET信号特征与完全分离的伙伴的FRET信号特征。我们将新的FRET对与规范CFP_YFP和最新的mClover3_mRuby3对进行了比较,发现尽管总FRET信号强度较低,但由于较低的施主发射渗漏,新型对仍具有明显更好的信噪比。这个事实以及mRuby3发射光谱与普通细胞自发荧光不重叠的事实使mCerulean3_mRuby3 FRET对成为活细胞膜蛋白相互作用分析中通用CFP_YFP FRET对的有希望的替代品。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号