Unknown

Dataset Information

A two-step screening to optimize the signal response of an auto-fluorescent protein-based biosensor.


ABSTRACT: Auto-fluorescent protein (AFP)-based biosensors transduce the structural change in their embedded recognition modules induced by recognition/reaction events to fluorescence signal changes of AFP. The lack of detailed structural information on the recognition module often makes it difficult to optimize AFP-based biosensors. To enhance the signal response derived from detecting the putative structural change in the nitric oxide (NO)-sensing segment of transient receptor potential canonical 5 (TRPC5) fused to enhanced green fluorescent protein (EGFP), EGFP-TRPC5, a facile two-step screening strategy, in silico first and in vitro second, was applied to variants of EGFP-TRPC5 deletion-mutated within the recognition module. In in silico screening, the structural changes of t

SUBMITTER: Tajima S 

PROVIDER: S-EPMC9121230 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature