Decoupling cellular complexity: Comparative mass transport analysis of wild-type and mutant PhoE in nanoreactors

This repository contains the raw data of the experiments related to the paper entitled: "Decoupling cellular complexity: Comparative mass transport analysis of wild-type and mutant PhoE in nanoreactors". The content entails data that is not included in the main manuscript or in the supplementary data. 

Short description of the paper:

In this work, we employed enzyme-loaded nanoreactors as a minimal and well-defined platform to directly quantify PhoE-mediated substrate flux independent of cellular complexity. Wild-type PhoE was compared to mutants exhibiting 3-6 fold higher (E110C) or approximately 50 % lower (F111C) transport in bacterial cells, with the bottom-up synthetic biology system enabling a concrete comparison of specific transport rates. Additionally, we designed and characterized a novel deletion mutant (PhoE∆102-107), expanding the functional repertoire for transport tuning in engineered enzymatic nanoreactors. Complementary molecular dynamics simulations provided structural insight into the molecular basis of the observed transport behavior of the PhoE mutants.

About the dataset:

The dataset contains the raw data of the four polymersomes configurations PolAPControl, PolGLPhoE, PolAPPhoE(E110C), PolAPPhoE(F111C), and PolAPPhoE∆ used in the experiments of the paper:

Polymersome analysis:

DLS measurements

Zeta View: Report

Mass transport

Fluorescence assay data

Calibration data

Repository link of the MD simulation data 

Researchers are welcome to reanalyze or model the translocation kinetics using their own approaches. 

Further References:

This work was supported by DFG Project 290825040, and the Federal Ministry of Research, Technology and Space (BMBF) – founding number 6KIS1987 and NSF 22–599, EPSCoR RII Track-1, Award Number DQDBM7FGJPC5 to RC.

This work is also funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – GRK 2950 – Project-ID 509922606:  Synthetic Molecular Communication Across Different Scales: From Theory to Experiments (SyMoCADS).

For more information visit: Institute of Bioprocess Engineering, Chowdhury Lab, Institute of Digital Communication