Dynamic High-Sensitivity Quantitation of Procollagen-I by Endogenous CRISPR-Cas9 NanoLuciferase Tagging.
Dynamic High-Sensitivity Quantitation of Procollagen-I by Endogenous CRISPR-Cas9 NanoLuciferase Tagging.
复制标题
DOI:
10.3390/cells9092070
复制
发表时间:
2020-09-10
期刊:
影响因子:
6
通讯作者:
Pickard A
中科院分区:
文献类型:
--
作者:
Calverley BC;Kadler KE;Pickard A
The ability to quantitate a protein of interest temporally and spatially at subcellular resolution in living cells would generate new opportunities for research and drug discovery, but remains a major technical challenge. Here, we describe dynamic, high-sensitivity protein quantitation technique using NanoLuciferase (NLuc) tagging, which is effective across microscopy and multiwell platforms. Using collagen as a test protein, the CRISPR-Cas9-mediated introduction of nluc (encoding NLuc) into the Col1a2 locus enabled the simplification and miniaturisation of procollagen-I (PC-I) quantitation. Collagen was chosen because of the clinical interest in its dysregulation in cardiovascular and musculoskeletal disorders, and in fibrosis, which is a confounding factor in 45% of deaths, including those brought about by cancer. Collagen is also the cargo protein of choice for studying protein secretion because of its unusual shape and size. However, the use of overexpression promoters (which drowns out endogenous regulatory mechanisms) is often needed to achieve good signal/noise ratios in fluorescence microscopy of tagged collagen. We show that endogenous knock-in of NLuc, combined with its high brightness, negates the need to use exogenous promoters, preserves the circadian regulation of collagen synthesis and the responsiveness to TGF-β, and enables time-lapse microscopy of intracellular transport compartments containing procollagen cargo. In conclusion, we demonstrate the utility of CRISPR-Cas9-mediated endogenous NLuc tagging to robustly quantitate extracellular, intracellular, and subcellular protein levels and localisation.
登录
查看更多内容
DOI:
10.1093/bioinformatics/btv308
发表时间:
2015-09-15
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Hodgkins A;Farne A;Perera S;Grego T;Parry-Smith DJ;Skarnes WC;Iyer V
通讯作者:
Iyer V
影响因子:
7.7
作者:
Kalson NS;Lu Y;Taylor SH;Starborg T;Holmes DF;Kadler KE
通讯作者:
Kadler KE
影响因子:
5.6
作者:
HULMES, DJS;KADLER, KE;PROCKOP, DJ
通讯作者:
PROCKOP, DJ
影响因子:
56.9
作者:
Suter, David M.;Molina, Nacho;Naef, Felix
通讯作者:
Naef, Felix
DOI:
10.1096/fj.12-225599
发表时间:
2013-05
期刊:
FASEB journal : official publication of the Federation of American Societies for Experimental Biology
影响因子:
--
作者:
Heinemeier KM;Schjerling P;Heinemeier J;Magnusson SP;Kjaer M
通讯作者:
Kjaer M