Tracking individual cells has allowed a new understanding of cellular behavior in human health and disease by adding a dynamic component to the already complex heterogeneity of single cells. Technically, despite countless advances, numerous experimental variables can affect data collection and interpretation and need to be considered. In this review, we discuss the main technical aspects and biological findings in the analysis of the behavior of individual cells. We discuss the most relevant contributions provided by these approaches in clinically relevant human conditions like embryo development, stem cells biology, inflammation, cancer and microbiology, along with the cellular mechanisms and molecular pathways underlying these conditions. We also discuss the key technical aspects to be considered when planning and performing experiments involving the analysis of individual cells over long periods. Despite the challenges in automatic detection, features extraction and long-term tracking that need to be tackled, the potential impact of single-cell bioimaging is enormous in understanding the pathogenesis and development of new therapies in human pathophysiology.
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February 2022
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Cover Image
Cover Image
The highly conserved enzyme IMPDH plays an essential role in purine biosynthesis and is tightly regulated by many different mechanisms. Depicted here are cryo-EM structures of the large retinal splice variant of IMPDH1 in different filament assembly conformations overlaid on a cryo-EM micrograph of IMPDH1 filaments. Cover artwork created by Jesse Hansen.
Review Article|
February 15 2022
Bioimaging approaches for quantification of individual cell behavior during cell fate decisions
Karine R. Begnini;
Karine R. Begnini
1Departamento de Biofísica, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil
2Centro de Biotecnologia, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil
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Luiza C. Pereira;
Luiza C. Pereira
*
1Departamento de Biofísica, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil
2Centro de Biotecnologia, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil
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Juliano L. Faccioni;
Juliano L. Faccioni
*
1Departamento de Biofísica, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil
2Centro de Biotecnologia, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil
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Guido Lenz
;
Guido Lenz
1Departamento de Biofísica, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil
2Centro de Biotecnologia, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil
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Eduardo C. Filippi-Chiela
2Centro de Biotecnologia, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil
3Departamento de Ciências Morfológicas, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil
4Serviço de Pesquisa Experimental, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil
Correspondence: Guido Lenz (lenz@ufrgs.br) and Eduardo C. Filippi-Chiela (eduardo.chiela@ufrgs.br)
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Publisher: Portland Press Ltd
Received:
October 28 2021
Revision Received:
January 10 2022
Accepted:
January 24 2022
Online ISSN: 1470-8752
Print ISSN: 0300-5127
© 2022 The Author(s). Published by Portland Press Limited on behalf of the Biochemical Society
2022
Biochem Soc Trans (2022) 50 (1): 513–527.
Article history
Received:
October 28 2021
Revision Received:
January 10 2022
Accepted:
January 24 2022
Citation
Karine R. Begnini, Luiza C. Pereira, Juliano L. Faccioni, Guido Lenz, Eduardo C. Filippi-Chiela; Bioimaging approaches for quantification of individual cell behavior during cell fate decisions. Biochem Soc Trans 28 February 2022; 50 (1): 513–527. doi: https://doi.org/10.1042/BST20210534
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