An on-demand, drop-on-drop method for studying enzyme catalysis by serial crystallography

Agata Butryn, Philipp S. Simon, Pierre Aller, Philip Hinchliffe, Ramzi N. Massad, Gabriel Leen, Catherine L. Tooke, Isabel Bogacz, In Sik Kim, Asmit Bhowmick, Aaron S. Brewster, Nicholas E. Devenish, Jürgen Brem, Jos J.A.G. Kamps, Pauline A. Lang, Patrick Rabe, Danny Axford, John H. Beale, Bradley Davy, Ali EbrahimJulien Orlans, Selina L.S. Storm, Tiankun Zhou, Shigeki Owada, Rie Tanaka, Kensuke Tono, Gwyndaf Evans, Robin L. Owen, Frances A. Houle, Nicholas K. Sauter, Christopher J. Schofield, James Spencer, Vittal K. Yachandra, Junko Yano, Jan F. Kern, Allen M. Orville

Research output: Contribution to journalArticlepeer-review

Abstract

Serial femtosecond crystallography has opened up many new opportunities in structural biology. In recent years, several approaches employing light-inducible systems have emerged to enable time-resolved experiments that reveal protein dynamics at high atomic and temporal resolutions. However, very few enzymes are light-dependent, whereas macromolecules requiring ligand diffusion into an active site are ubiquitous. In this work we present a drop-on-drop sample delivery system that enables the study of enzyme-catalyzed reactions in microcrystal slurries. The system delivers ligand solutions in bursts of multiple picoliter-sized drops on top of a larger crystal-containing drop inducing turbulent mixing and transports the mixture to the X-ray interaction region with temporal resolution. We demonstrate mixing using fluorescent dyes, numerical simulations and time-resolved serial femtosecond crystallography, which show rapid ligand diffusion through microdroplets. The drop-on-drop method has the potential to be widely applicable to serial crystallography studies, particularly of enzyme reactions with small molecule substrates.

Original languageEnglish
Article number4461
JournalNature Communications
Volume12
Issue number1
DOIs
Publication statusPublished - 1 Dec 2021

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