High-throughput evolution of near-infrared serotonin nanosensors-Reference-Cited by-同舟云学术

High-throughput evolution of near-infrared serotonin nanosensors

Published:2019-12-06 Issue:12 Volume:5 Page:
ISSN:2375-2548
Container-title:Science Advances
language:en
Short-container-title:Sci. Adv.

Author:

Jeong Sanghwa¹^ORCID,Yang Darwin¹,Beyene Abraham G.¹^ORCID,Del Bonis-O’Donnell Jackson Travis¹^ORCID,Gest Anneliese M. M.²,Navarro Nicole¹^ORCID,Sun Xiaoqi¹^ORCID,Landry Markita P.¹³⁴⁵^ORCID

Affiliation:

1. Department of Chemical and Biomolecular Engineering, University of California, Berkeley, Berkeley, CA 94720, USA.

2. Department of Chemistry, University of California, Berkeley, Berkeley, CA 94720, USA.

3. Innovative Genomics Institute (IGI), Berkeley, CA 94720, USA.

4. California Institute for Quantitative Biosciences, QB3, University of California, Berkeley, Berkeley, CA 94720, USA.

5. Chan Zuckerberg Biohub, San Francisco, CA 94158, USA.

Abstract

Synthetic near-infrared nanosensors are evolved for imaging neuromodulator serotonin with high spatiotemporal resolution.

Funder

NIH Office of the Director

Burroughs Wellcome Fund

Simons Foundation

Defense Sciences Office, DARPA

Stanley Fahn PDF Junior Faculty Grant

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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