Inferring cell communication using single-cell calcium spatiotemporal dynamics

Nika Taghdiri; Kevin R King

doi:10.1016/j.xpro.2022.101647

Inferring cell communication using single-cell calcium spatiotemporal dynamics

STAR Protoc. 2022 Aug 26;3(3):101647. doi: 10.1016/j.xpro.2022.101647. eCollection 2022 Sep 16.

Authors

Nika Taghdiri¹, Kevin R King²

Affiliations

¹ Department of Bioengineering, Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA. Electronic address: ntaghdir@eng.ucsd.edu.
² Department of Bioengineering, Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA; Division of Cardiology and Cardiovascular Institute, Department of Medicine, University of California San Diego, La Jolla, CA, USA. Electronic address: krking@ucsd.edu.

Abstract

There are a limited number of experimental tools for non-destructively discovering cell communication events in vitro and in vivo. Here, using tissue-specific genetically encoded calcium indicator (GECI) mice, we describe a protocol for preprocessing GECI fluorescence time-series measured by live cell imaging or intravital microscopy, detecting peaks of single-cell calcium fluorescence transients, and inferring putative cell communication events from peak synchrony. For complete details on the use and execution of this protocol, please refer to Taghdiri et al. (2021).

Keywords: Bioinformatics; Cell biology; Microscopy; Model organisms; Molecular biology; Signal transduction.

Publication types

Research Support, N.I.H., Extramural

MeSH terms

Animals
Calcium Signaling
Calcium* / metabolism
Calcium, Dietary
Cell Communication
Fluorescence
Mice
Neurons* / metabolism

Substances

Calcium, Dietary
Calcium

Abstract

Publication types

MeSH terms

Substances

Grants and funding