ArticleScientific reports2022
Population distributions of single-cell adhesion parameters during the cell cycle from high-throughput robotic fluidic force microscopy.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed, 27 citations in OpenAlex.
- Impedance Sensing and Characterization of Single-Cell Migration in Channels with Selective Protein Coating.Biosensors · 2026Article
- Determination of the Minimum Cell-to-Cell Adhesion Time Using Optical Tweezers in Leukemia and Lymphoma Research.Methods and protocols · 2025Article
- Single-Cell Fluidic Force Spectroscopy Reveals Dynamic Mechanical Fingerprints of Malignancy in Breast Cancer.ACS applied materials & interfaces · 2024Article
- Continuous distribution of cancer cells in the cell cycle unveiled by AI-segmented imaging of 37,000 HeLa FUCCI cells.Heliyon · 2024Article
- Label-free biomolecular and cellular methods in small molecule epigallocatechin-gallate research.Heliyon · 2024Review
- Hydrodynamic function and spring constant calibration of FluidFM micropipette cantilevers.Microsystems & nanoengineering · 2024Article
- Recent advances in single-cell subcellular sampling.Chemical communications (Cambridge, England) · 2023Review
- 4D Force Detection of Cell Adhesion and Contractility.Nano letters · 2023Article
- Single-cell temporal transcriptomics from tiny cytoplasmic biopsies.Cell reports methods · 2022Article
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Authors and funding
6 authors at 3 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Single-cell adhesion plays an essential role in biological and biomedical sciences, but its precise measurement for a large number of cells is still a challenging task. At present, typical force measuring techniques usually offer low throughput, a few cells per day, and therefore are unable to uncover phenomena emerging at the population level. In this work, robotic fluidic force microscopy (FluidFM) was utilized to measure the adhesion parameters of cells in a high-throughput manner to study their population distributions in-depth. The investigated cell type was the genetically engineered HeLa Fucci construct with cell cycle-dependent expression of fluorescent proteins. This feature, combined with the high-throughput measurement made it possible for the first time to characterize the single-cell adhesion distributions at various stages of the cell cycle. It was found that parameters such as single-cell adhesion force and energy follow a lognormal population distribution. Therefore, conclusions based on adhesion data of a low number of cells or treating the population as normally distributed can be misleading. Moreover, we found that the cell area was significantly the smallest, and the area normalized maximal adhesion force was significantly the largest for the colorless cells (the mitotic (M) and early G1 phases). Notably, the parameter characterizing the elongation of the cells until the maximum level of force between the cell and its substratum was also dependent on the cell cycle, which quantity was the smallest for the colorless cells. A novel parameter, named the spring coefficient of the cell, was introduced as the fraction of maximal adhesion force and maximal cell elongation during the mechanical detachment, which was found to be significantly the largest for the colorless cells. Cells in the M phase adhere in atypical way, with so-called reticular adhesions, which are different from canonical focal adhesions. We first revealed that reticular adhesion can exert a higher force per unit area than canonical focal adhesions, and cells in this phase are significantly stiffer. The possible biological consequences of these findings were also discussed, together with the practical relevance of the observed population-level adhesion phenomena.
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