Content area

Abstract

Cell death is a critical process that occurs normally in health and disease. However, its study is limited due to available technologies that only detect very late stages in the process or specific death mechanisms. Here, we report the development of a family of fluorescent biosensors called genetically encoded death indicators (GEDIs). GEDIs specifically detect an intracellular Ca2+ level that cells achieve early in the cell death process and that marks a stage at which cells are irreversibly committed to die. The time-resolved nature of a GEDI delineates a binary demarcation of cell life and death in real time, reformulating the definition of cell death. We demonstrate that GEDIs acutely and accurately report death of rodent and human neurons in vitro, and show that GEDIs enable an automated imaging platform for single cell detection of neuronal death in vivo in zebrafish larvae. With a quantitative pseudo-ratiometric signal, GEDIs facilitate high-throughput analysis of cell death in time-lapse imaging analysis, providing the necessary resolution and scale to identify early factors leading to cell death in studies of neurodegeneration.

Cell death is a critical process in health and disease, yet available markers record later stages of cell death once a cell has already begun to decompose. Here the authors show the use of a genetically encoded calcium indicator that demarcates an irreversible stage of cell death earlier than previously possible.

Details

1009240
Title
Genetically encoded cell-death indicators (GEDI) to detect an early irreversible commitment to neurodegeneration
Author
Linsley, Jeremy W 1   VIAFID ORCID Logo  ; Shah, Kevan 1   VIAFID ORCID Logo  ; Castello, Nicholas 1 ; Chan, Michelle 1 ; Haddad Dominik 2 ; Zak, Doric 3   VIAFID ORCID Logo  ; Wang, Shijie 4 ; Leks Wiktoria 4 ; Mancini, Jay 4 ; Oza Viral 4 ; Javaherian Ashkan 4 ; Nakamura, Ken 5   VIAFID ORCID Logo  ; Kokel, David 6 ; Finkbeiner, Steven 7   VIAFID ORCID Logo 

 Gladstone Center for Systems and Therapeutics, San Francisco, USA 
 Gladstone Institute of Neurologic Disease, San Francisco, USA 
 Gladstone Institute of Neurologic Disease, San Francisco, USA; University of California, Neuroscience Graduate Program, San Francisco, USA (GRID:grid.266102.1) (ISNI:0000 0001 2297 6811) 
 Gladstone Center for Systems and Therapeutics, San Francisco, USA (GRID:grid.266102.1) 
 Gladstone Institute of Neurologic Disease, San Francisco, USA (GRID:grid.266102.1); University of California, Biomedical Sciences and Neuroscience Graduate Program, San Francisco, USA (GRID:grid.266102.1) (ISNI:0000 0001 2297 6811); University of California, Department of Neurology, San Francisco, USA (GRID:grid.266102.1) (ISNI:0000 0001 2297 6811) 
 University of California, Department of Physiology, San Francisco, USA (GRID:grid.266102.1) (ISNI:0000 0001 2297 6811); University of California, Institute for Neurodegenerative Disease, San Francisco, USA (GRID:grid.266102.1) (ISNI:0000 0001 2297 6811) 
 Gladstone Center for Systems and Therapeutics, San Francisco, USA (GRID:grid.266102.1); Taube/Koret Center for Neurodegenerative Disease, Gladstone Institutes, San Francisco, USA (GRID:grid.249878.8) (ISNI:0000 0004 0572 7110) 
Publication title
Volume
12
Issue
1
Publication year
2021
Publication date
2021
Publisher
Nature Publishing Group
Place of publication
London
Country of publication
United States
Publication subject
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2021-09-06
Milestone dates
2021-08-19 (Registration); 2019-12-18 (Received); 2021-08-16 (Accepted)
Publication history
 
 
   First posting date
06 Sep 2021
ProQuest document ID
2569483094
Document URL
https://www.proquest.com/scholarly-journals/genetically-encoded-cell-death-indicators-gedi/docview/2569483094/se-2?accountid=208611
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2024-10-07
Database
2 databases
  • ProQuest One Academic
  • ProQuest One Academic