Quantification of collective signalling in time-lapse microscopy images.

Dobrzynski, Maciej; Grädel, Benjamin; Gagliardi, Paolo Armando; Pertz, Olivier (2024). Quantification of collective signalling in time-lapse microscopy images. Methods in microscopy, 1(1), pp. 19-30. de Gruyter 10.1515/mim-2024-0003

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Live-cell imaging of fluorescent biosensors has demonstrated that space-time correlations in signalling of cell collectives play an important organisational role in morphogenesis, wound healing, regeneration, and maintaining epithelial homeostasis. Here, we demonstrate how to quantify one such phenomenon, namely apoptosis-induced ERK activity waves in the MCF10A epithelium. We present a protocol that starts from raw time-lapse fluorescence microscopy images and, through a sequence of image manipulations, ends with ARCOS, our computational method to detect and quantify collective signalling. We also describe the same workflow in the interactive napari image viewer to quantify collective phenomena for users without prior programming experience. Our approach can be applied to space-time correlations in cells, cell collectives, or communities of multicellular organisms, in 2D and 3D geometries.

Item Type:

Journal Article (Original Article)

Division/Institute:

08 Faculty of Science > Department of Biology > Institute of Cell Biology
08 Faculty of Science > Department of Biology > Institute of Cell Biology > Cellular Dynamics

Graduate School:

Graduate School for Cellular and Biomedical Sciences (GCB)

UniBE Contributor:

Dobrzynski, Maciej, Grädel, Benjamin Andreas, Gagliardi, Paolo Armando, Pertz, Olivier

Subjects:

500 Science > 570 Life sciences; biology

ISSN:

2942-3899

Publisher:

de Gruyter

Language:

English

Submitter:

Pubmed Import

Date Deposited:

09 Aug 2024 15:24

Last Modified:

10 Aug 2024 09:30

Publisher DOI:

10.1515/mim-2024-0003

PubMed ID:

39119253

Uncontrolled Keywords:

cell signalling collective phenomena image analysis spatial clustering time-lapse microscopy

BORIS DOI:

10.48350/199607

URI:

https://boris.unibe.ch/id/eprint/199607

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