skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Genetically encoded sensors for imaging proteins and their complexes

Abstract

Isolated truncated and mutated sensor proteins derived from flavoproteins that are 12-20 KDa or less, genetically encoded for detection and imaging of protein complexes having long fluorescent lifetimes that can be 4.0 ns or greater.

Inventors:
; ;
Publication Date:
Research Org.:
Univ. of California, Oakland, CA (United States); Santa Clara College, Santa Clara, CA (United States)
Sponsoring Org.:
USDOE Laboratory Directed Research and Development (LDRD) Program
OSTI Identifier:
1771477
Patent Number(s):
10,794,915
Application Number:
14/946,461
Assignee:
The Regents of the University of California (Oakland, CA); President and Board of Trustees of Santa Clara College (Santa Clara, CA)
DOE Contract Number:  
AC02-05CH11231
Resource Type:
Patent
Resource Relation:
Patent File Date: 11/19/2015
Country of Publication:
United States
Language:
English

Citation Formats

Marriott, Gerard, Hoepker, Alexander Chris, and Yan, Yuling. Genetically encoded sensors for imaging proteins and their complexes. United States: N. p., 2020. Web.
Marriott, Gerard, Hoepker, Alexander Chris, & Yan, Yuling. Genetically encoded sensors for imaging proteins and their complexes. United States.
Marriott, Gerard, Hoepker, Alexander Chris, and Yan, Yuling. 2020. "Genetically encoded sensors for imaging proteins and their complexes". United States. https://www.osti.gov/servlets/purl/1771477.
@article{osti_1771477,
title = {Genetically encoded sensors for imaging proteins and their complexes},
author = {Marriott, Gerard and Hoepker, Alexander Chris and Yan, Yuling},
abstractNote = {Isolated truncated and mutated sensor proteins derived from flavoproteins that are 12-20 KDa or less, genetically encoded for detection and imaging of protein complexes having long fluorescent lifetimes that can be 4.0 ns or greater.},
doi = {},
url = {https://www.osti.gov/biblio/1771477}, journal = {},
number = ,
volume = ,
place = {United States},
year = {2020},
month = {10}
}