A universal microfluidic approach for integrated analysis of temporal homocellular and heterocellular signaling and migration dynamics
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Published version
Author(s)
Type
Journal Article
Abstract
Microfluidics offers precise and dynamic control of microenvironments for the study of temporal cellular responses. However, recent research focusing solely on either homocellular (single-cell, population) or heterocellular response may yield insufficient output, which possibly leads to partial comprehension about the underlying mechanisms of signaling events and corresponding cellular behaviors. Here, a universal microfluidic approach is developed for integrated analysis of temporal signaling and cell migration dynamics in multiple cellular contexts (single-cell, population and coculture). This approach allows to confine the desired number or mixture of specific cell sample types in a single device. Precise single cell seeding was achieved manually with bidirectional controllability. Coupled with time-lapse imaging, temporal cellular responses can be observed with single-cell resolution. Using NIH3T3 cells stably expressing signal transducer and activator of transcription 1/2 (STAT1/2) activity biosensors, temporal STAT1/2 activation and cell migration dynamics were explored in isolated single cells, populations and cocultures stimulated with temporal inputs, such as single-pulse and continuous signals of interferon γ (IFNγ) or lipopolysaccharide (LPS). We demonstrate distinct dynamic responses of fibroblasts in different cellular contexts. Our presented approach facilitates a multi-dimensional understanding of STAT signaling and corresponding migration behaviors.
Date Issued
2022-09
Date Acceptance
2022-05-06
Citation
Biosensors and Bioelectronics, 2022, 211, pp.114353-114353
ISSN
0956-5663
Publisher
Elsevier BV
Start Page
114353
End Page
114353
Journal / Book Title
Biosensors and Bioelectronics
Volume
211
Copyright Statement
© 2022 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
License URL
Identifier
https://www.sciencedirect.com/science/article/pii/S0956566322003931?via%3Dihub
Subjects
0301 Analytical Chemistry
0903 Biomedical Engineering
1007 Nanotechnology
Bioinformatics
Publication Status
Published
Article Number
114353
Date Publish Online
2022-05-11
