Quantitative mapping of fluorescently tagged cellular proteins using FCS-calibrated four-dimensional imaging.
Quantitative mapping of fluorescently tagged cellular proteins using FCS-calibrated four-dimensional imaging.
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DOI:
10.1038/nprot.2018.040
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发表时间:
2018-06
期刊:
影响因子:
14.8
通讯作者:
Ellenberg J
中科院分区:
文献类型:
--
作者:
Politi AZ;Cai Y;Walther N;Hossain MJ;Koch B;Wachsmuth M;Ellenberg J
The ability to tag a protein at its endogenous locus with a fluorescent protein (FP) enables the quantitative understanding of protein dynamics at the physiological level. Genome editing technology has now made this powerful approach routinely applicable to mammalian cells and many other model systems, opening up the possibility to systematically and quantitatively map the cellular proteome in four dimensions. 3D time-lapse confocal microscopy (4D imaging) is an essential tool to investigate spatial and temporal protein dynamics, however it lacks the required quantitative power to make absolute and comparable measurements required for systems analysis. Fluorescence correlation spectroscopy (FCS) on the other hand provides quantitative proteomic and biophysical parameters such as protein concentration, hydrodynamic radius and oligomerization but lacks the ability for high-throughput application in 4D spatial and temporal imaging. Here, we present an automated experimental and computational workflow that integrates both methods and delivers quantitative 4D imaging data in high throughput. This data is processed to yield a calibration curve relating the fluorescence intensities of image voxels to absolute protein abundance. The calibration curve allows the conversion of the arbitrary fluorescence intensities to protein amounts for all voxels of 4D (3D plus time) imaging stacks. With our workflow the user can acquire and analyze hundreds of FCS-calibrated image series to map their proteins of interest in four dimensions. Compared to other protocols, the current protocol does not require additional calibration standards and provides an automated acquisition pipeline for FCS and imaging data. The protocol can be completed in less than 1 day.
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影响因子:
14.8
作者:
Koch B;Nijmeijer B;Kueblbeck M;Cai Y;Walther N;Ellenberg J
通讯作者:
Ellenberg J
影响因子:
48
作者:
Conrad, Christian;Wuensche, Annelie;Tan, Tze Heng;Bulkescher, Jutta;Sieckmann, Frank;Verissimo, Fatima;Edelstein, Arthur;Walter, Thomas;Liebel, Urban;Pepperkok, Rainer;Ellenberg, Jan
通讯作者:
Ellenberg, Jan
影响因子:
16.6
作者:
Lukinavičius G;Blaukopf C;Pershagen E;Schena A;Reymond L;Derivery E;Gonzalez-Gaitan M;D'Este E;Hell SW;Wolfram Gerlich D;Johnsson K
通讯作者:
Johnsson K
影响因子:
64.8
作者:
Cuylen S;Blaukopf C;Politi AZ;Müller-Reichert T;Neumann B;Poser I;Ellenberg J;Hyman AA;Gerlich DW
通讯作者:
Gerlich DW
影响因子:
46.9
作者:
Capoulade, Jeremie;Wachsmuth, Malte;Knop, Michael
通讯作者:
Knop, Michael