4.6 Editorial Material

A Student Perspective on the 18th Monitoring Molecules in Neuroscience Meeting in Lyon

Journal

ACS CHEMICAL NEUROSCIENCE
Volume 14, Issue 12, Pages 2253-2255

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acschemneuro.3c00271

Keywords

Biosensors; multiplexing; genetically encodedsensors; in vivo; neurochemistry; analyticalmethods

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After two postponements due to the global COVID-19 pandemic, the 18th Biennial Monitoring Molecules in Neuroscience (MMiN) Research Conference was held in Lyon, France, in late June 2022, with around 200 scientists in attendance. Despite unprecedented challenges in coordination, the conference was a huge success, providing young neuroscientists with a valuable opportunity to network and learn about advancements in molecular monitoring in neuroscience research. The topics discussed ranged from improvements in established analytical techniques to the development of novel methods, including multiplexed detection of neurochemicals, established sensors utilizing enzymes and other biological components, and the creation of diverse, customizable genetically encoded sensors.
After being postponed twice due to the global COVID-19 pandemic, approximately 200 scientists gathered in Lyon, France, in late June 2022 for the 18th Biennial Monitoring Molecules in Neuroscience (MMiN) Research Conference. Although there were unprecedented challenges involved with coordinating the 18th MMiN conference, the meeting was a huge success. The meeting provided a wonderful opportunity for young neuroscientists to network and learn about the current state of molecular monitoring in neuroscience research. The topics spanned advancements in well-established analytical techniques to novel method development. Some of the noteworthy techniques expediting our understanding of circuit-level neurochemical function include multiplexed detection of numerous neurochemicals, well-established sensors leveraging enzymes and other biologic components, and the development of diverse, customizable genetically encoded sensors.

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