• SURFE²R 96SE

    Fully automated data recording and analysis. 10,000 data points per day!
  • SURFE²R 96SE

    First high throughput instrument on the market for SSM-based electrophysiology
  • SURFE²R 96SE

    Finally high throughput label-free functional assays for transporters available
  • SURFE²R 96SE

    High signal amplification compared to patch-clamp: transport & binding assays
  • SURFE²R 96SE

    Turn-key system for efficient transporter protein analysis

2018 - Electrophysiological Characterization of Sugar Transporters using SSM-based Electrophysiology

Icon 96SE   SURFE²R 96SE and   Icon N1   SURFE²R N1 Oral Presentation

Presenter: 
Dr. Andre Bazzone, Application Scientist, Nanion Technologies GmbH, Germany
Andre is an expert in the field of SSM-based electrophysiology: He made his PhD at the Max-Planck-Institute of Biophysics in Frankfurt, Germany on the electrophysiological characterization of sugar transporters using the SSM-based electrophysiology in 2016. Right afterwards, he started as Application Scientist at Nanion Technologies and today he is an important member of the Nanion SURFE²R team.

Source:
Webinar: "The SURFE²R Technology: Assays for Pharmacological and Functional Characterization of Membrane Transporters"

January 30, 2018


Abstract:

SSM-based electrophysiology helps to understand the mechanisms of different transporters. The technique was used to characterize and compare different sugar transporters and their transport deficient mutants. Proton-coupled (LacY, XylE, FucP), sodium-coupled (MelB) and loosely coupled (GlcP) sugar transporters were analyzed. A general transport model was concluded from the electrophysiological data. Here we present the most intriguing results for these transporters as well as our conclusions regarding the transport mechanism. We will discuss (1) substrate specifity, (2) protonation and coupling mechanisms, (3) the impact of different driving forces, (4) sugar binding kinetics and (5) the significance of specific amino acids for the transport cycle. All together SSM-based electrophysiology helped to conclude a detailed kinetic model for sugar transporters.

 

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