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Discovery of surface biomarkers for cell mechanophenotype via an intracellular protein-based enrichment strategy.

Authors :
Dempsey ME
Chickering GR
González-Cruz RD
Fonseca VC
Darling EM
Source :
Cellular and molecular life sciences : CMLS [Cell Mol Life Sci] 2022 May 27; Vol. 79 (6), pp. 320. Date of Electronic Publication: 2022 May 27.
Publication Year :
2022

Abstract

Cellular mechanophenotype is often a defining characteristic of conditions like cancer malignancy/metastasis, cardiovascular disease, lung and liver fibrosis, and stem cell differentiation. However, acquiring living cells based on mechanophenotype is challenging for conventional cell sorters due to a lack of biomarkers. In this study, we demonstrate a workflow for surface protein discovery associated with cellular mechanophenotype. We sorted heterogeneous adipose-derived stem/stromal cells (ASCs) into groups with low vs. high lamin A/C, an intracellular protein linked to whole-cell mechanophenotype. Proteomic data of enriched groups identified surface protein candidates as potential biochemical proxies for ASC mechanophenotype. Select surface biomarkers were used for live-cell enrichment, with subsequent single-cell mechanical testing and lineage-specific differentiation. Ultimately, we identified CD44 to have a strong inverse correlation with whole-cell elastic modulus, with CD44 <superscript>lo</superscript> cells exhibiting moduli three times greater than that of CD44 <superscript>hi</superscript> cells. Functionally, these stiff and soft ASCs showed enhanced osteogenic and adipogenic differentiation potential, respectively. The described workflow can be replicated for any phenotype with a known correlated intracellular protein, allowing for the acquisition of live cells for further characterization, diagnostics, or therapeutics.<br /> (© 2022. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)

Details

Language :
English
ISSN :
1420-9071
Volume :
79
Issue :
6
Database :
MEDLINE
Journal :
Cellular and molecular life sciences : CMLS
Publication Type :
Academic Journal
Accession number :
35622146
Full Text :
https://doi.org/10.1007/s00018-022-04351-w