December 1 - 6, 2024
Boston, Massachusetts
Symposium Supporters
2024 MRS Fall Meeting & Exhibit
NM01.02.11

High-Throughput Evolution of Near-Infrared Oxytocin Nanosensors Enables Oxytocin Imaging in Mice and Prairie Voles

When and Where

Dec 2, 2024
5:00pm - 5:15pm
Hynes, Level 2, Room 200

Presenter(s)

Co-Author(s)

Natsumi Komatsu1,Jaquesta Adams1,Nicole Navarro1,Markita Landry1

University of California, Berkeley1

Abstract

Natsumi Komatsu1,Jaquesta Adams1,Nicole Navarro1,Markita Landry1

University of California, Berkeley1
Oxytocin is a neuropeptide thought to play a central role in regulating social and emotional behavior. Current techniques for neuropeptide imaging are generally limited in spatial and temporal resolution, real-time imaging capacity, selectivity for oxytocin over vasopressin, and application in young and non-model organisms. To avoid the use of endogenous oxytocin receptors for oxytocin probe development, we employed a protocol to evolve purely synthetic molecular recognition on the surface of near-infrared fluorescent single-walled carbon nanotubes using single-stranded DNA . This probe reversibly undergoes up to a 172% fluorescence increase in response to oxytocin with a Kd of 4.93 µM. Furthermore, this probe responds selectively to oxytocin over oxytocin analogs, receptor agonists and antagonists, and most other neurochemicals. Lastly, we show our probe can image synaptic evoked oxytocin release in live mouse and prairie vole brain slices. Optical probes with the specificity and resolution requisite to image endogenous oxytocin signaling that are readily applicable in different animal model species can advance the study of oxytocin neurotransmission for its role in both health and disease.

Keywords

nanoscale

Symposium Organizers

Sofie Cambré, University of Antwerp
Ranjit Pati, Michigan Technological University
Shunsuke Sakurai, National Institute of Advanced Industrial Science and Technology
Ming Zheng, National Institute of Standards and Technology

Session Chairs

Ranjit Pati
Ming Zheng

In this Session