Sign in
NeurosciencebioRxiv
Preprint

High-throughput evolution of near-infrared oxytocin nanosensors enables oxytocin imaging in mice and prairie voles

Jaquesta AdamsiD, Natsumi KomatsuiD, Nicole NavarroiD, Alexis M. BlackiD, Esther LeemiD, Xiaoqi SuniD, Jiaxuan ZhaoiD, Octavio I. Arias-Soto, Annaliese K. BeeryiD, Markita Patricia LandryiD

Abstract

Oxytocin is a neuropeptide involved in regulating social and emotional behavior. Current techniques for oxytocin 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 address these issues, we developed a method to evolve purely synthetic molecular recognition for oxytocin on the surface of near-infrared fluorescent single-walled carbon nanotubes (SWCNT) using single-stranded DNA (ssDNA). The best-performing nanosensor nIROT-SELEC reversibly undergoes up to a 172% fluorescence increase in response to oxytocin with micromolar dissociation, nanomolar limit of detection, and and high selectivity over oxytocin analogs, receptor agonists and antagonists, and co-released neurochemicals. We next demonstrated the versatility of nIROT-SELEC by performing live imaging of synaptic evoked oxytocin released in acute brain slices of mice and prairie voles. Our method for high throughput evolution of neuropeptide nanosensors holds promise to enable synaptic scale visualization of neuropeptide signaling in the brain cross different species and developmental stages, to advance the study of neurochemical signaling for its role in both health and disease.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISNavarro '22Ino '22Mignocchi '20Duarte‐Gute '20Jeong '19Beyene '19
89% semantic matchBioengineering
N. Navarro, S. Jeong, N. Ouassil+3 more·bioRxiv·Oct 5, 2022