1/1
10 files

Data and code related to "Spatiotemporal kinetics of the SRP pathway in live E. coli cells", by Volkov et al.

dataset
posted on 08.09.2022, 12:20 authored by Ivan Volkov, Erik Lundin, Kalle Kipper, Mikhail Metelev, Spartak Zikrin, Magnus JohanssonMagnus Johansson

 

This item contains fluorescence microscopy data, simulated data, DNA sequence data, and analysis code related to the publication: Volkov et al., "Spatiotemporal kinetics of the SRP pathway in live E. coli cells".

The Signal recognition Particle (SRP) pathway is a universal mechanism for co-translational targeting of nascent polypeptides to the membrane bound translocation complexes, the translocons. By performing single-molecule tracking of dye-labelled SRP in living E. coli cells, we have been able to directly observe and measure the kinetics of this process. We further validated and refined our resulting reaction-diffusion model through simulated microscopy.

All raw microscopy data, simulated data, and processed data are included in the item, along with analysis code and code for figure generation.

Data has been acquired at the Dept. of Cell and Molecular Biology, Biomedical Center (BMC), Uppsala University. For technical details about data acquisition, please see the related publication Volkov et al. "Spatiotemporal kinetics of the SRP pathway in live E. coli cells".

A detailed list of files and file organization can be found in the readme text file.

Funding

Single-molecule tracking for live-cell protein synthesis kinetics

European Research Council

Find out more...

Studies of protein synthesis in live cells - one molecule at a time

Swedish Research Council

Find out more...

The physics of genetic information processing

Swedish Research Council

Find out more...

An Integrated Environment for Ribosome Research

Swedish Research Council

Find out more...

Determinants for efficient synthesis, folding, and targeting of proteins in living cells

Swedish Research Council

Find out more...

Swedish National Infrastructure for Computing (SNIC) at UPPMAX, Uppsala University, partially funded by the Swedish Research Council through grant agreement no. 2018–05973

History

Publisher

Uppsala University