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Intravital calcium imaging in myeloid leukocytes identifies calcium frequency spectra as indicators of functional states.

Authors :
Mehari FT
Miller M
Pick R
Bader A
Pekayvaz K
Napoli M
Uhl B
Reichel CA
Sperandio M
Walzog B
Schulz C
Massberg S
Stark K
Source :
Science signaling [Sci Signal] 2022 Jul 26; Vol. 15 (744), pp. eabe6909. Date of Electronic Publication: 2022 Jul 26.
Publication Year :
2022

Abstract

The assessment of leukocyte activation in vivo is mainly based on surrogate parameters, such as cell shape changes and migration patterns. Consequently, additional parameters are required to dissect the complex spatiotemporal activation of leukocytes during inflammation. Here, we showed that intravital microscopy of myeloid leukocyte Ca <superscript>2+</superscript> signals with Ca <superscript>2+</superscript> reporter mouse strains combined with bioinformatic signal analysis provided a tool to assess their activation in vivo. We demonstrated by two-photon microscopy that tissue-resident macrophages reacted to sterile inflammation in the cremaster muscle with Ca <superscript>2+</superscript> transients in a distinct spatiotemporal pattern. Moreover, through high-resolution, intravital spinning disk confocal microscopy, we identified the intracellular Ca <superscript>2+</superscript> signaling patterns of neutrophils during the migration cascade in vivo. These patterns were modulated by the Ca <superscript>2+</superscript> channel Orai1 and Gα <subscript>i</subscript> -coupled GPCRs, whose effects were evident through analysis of the range of frequencies of the Ca <superscript>2+</superscript> signal (frequency spectra), which provided insights into the complex patterns of leukocyte Ca <superscript>2+</superscript> oscillations. Together, these findings establish Ca <superscript>2+</superscript> frequency spectra as an additional dimension to assess leukocyte activation and migration during inflammation in vivo.

Details

Language :
English
ISSN :
1937-9145
Volume :
15
Issue :
744
Database :
MEDLINE
Journal :
Science signaling
Publication Type :
Academic Journal
Accession number :
35881691
Full Text :
https://doi.org/10.1126/scisignal.abe6909