Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Journal articles
  4. Computationally-guided tuning of ligand sensitivity in a GPCR-based sensor
 
research article

Computationally-guided tuning of ligand sensitivity in a GPCR-based sensor

Keri, Daniel
•
Cola, Reto B.
•
Kagiampaki, Zacharoula
Show more
September 24, 2021
bioRxiv

Genetically-encoded fluorescent sensors for neuromodulators are increasingly used molecular tools in neuroscience. However, these protein-based biosensors are often limited by the sensitivity of the protein scaffold towards endogenous ligands. Here, we explored the possibility of applying computational design approaches for enhancing sensor sensitivity. Using the dopamine sensor dLight1 as proof of concept, we designed two variants that boost the sensor’s potency (EC50) for dopamine and norepinephrine by up to 5- and 15-fold, respectively. Interestingly, the largest effects were obtained through improved designed allosteric transmission in the transmembrane region of the sensor. Our approach should prove generally useful for enhancing sensing capabilities of a large variety of neuromodulator sensors. Competing Interest Statement T.P. is listed as inventor on a patent application on the sensor technology described in this research. All other authors declare no competing interest.

  • Details
  • Metrics
Type
research article
DOI
10.1101/2021.09.21.461282
Author(s)
Keri, Daniel
Cola, Reto B.
Kagiampaki, Zacharoula
Tommaso, Patriarchi
Barth, Patrick  
Date Issued

2021-09-24

Published in
bioRxiv
Editorial or Peer reviewed

NON-REVIEWED

Written at

EPFL

EPFL units
UPBARTH  
Available on Infoscience
December 13, 2021
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/183787
Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés