Mapping enzyme catalysis with metabolomic biosensing

Abstract Enzymes are represented across a vast space of protein sequences and structural forms and have activities that far exceed the best chemical catalysts; however, engineering them to have novel or enhanced activity is limited by technologies for sensing product formation. Here, we describe a general and scalable approach for characterizing enzyme activity that uses the metabolism of the host cell as a biosensor by which to infer product formation. Since different products consume different molecules in their synthesis, they perturb host metabolism in unique ways that can be measured by mass spectrometry. This provides a general way by which to sense product formation, to discover unexpected products and map the effects of mutagenesis..

Medienart:

Preprint

Erscheinungsjahr:

2021

Erschienen:

2021

Enthalten in:

bioRxiv.org - (2021) vom: 19. Okt. Zur Gesamtaufnahme - year:2021

Sprache:

Englisch

Beteiligte Personen:

Xu, Linfeng [VerfasserIn]
Chang, Kai-Chun [VerfasserIn]
Payne, Emory M. [VerfasserIn]
Modavi, Cyrus [VerfasserIn]
Liu, Leqian [VerfasserIn]
Palmer, Claire M. [VerfasserIn]
Tao, Nannan [VerfasserIn]
Alper, Hal S. [VerfasserIn]
Kennedy, Robert T. [VerfasserIn]
Cornett, Dale S. [VerfasserIn]
Abate, Adam R. [VerfasserIn]

Links:

Volltext [kostenfrei]

doi:

10.1101/2021.10.15.464597

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

XBI032805373