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Peking University and Qingdi Quantum Achieve Major Progress in Single-Cell Adhesion Dynamics

40-Hour Non-Destructive Quantitative Tracking of Living-Cell Adhesion Using FluidFM OMNIUM

Researchers at the Peking University School of Life Sciences (Qin Siying's group), working with Qingdi Quantum Scientific Instruments (Beijing) Co., Ltd., published a study in the Chinese core journal Progress in Biochemistry and Biophysics titled “Single-Cell Adhesion Dynamics Based on Fluidic Force Microscopy.” Using the multifunctional single-cell micromanipulation system FluidFM OMNIUM, the team built a quantitative single-cell adhesion assay that requires no chemical functionalization of the probe and can monitor living cells non-destructively over long periods. The study tracked the complete 40-hour cell-attachment process, quantitatively resolved the differences in adhesion dynamics between a highly differentiated epithelial cell line and a poorly differentiated engineered cell line, and related these differences back to cell differentiation state at the mechanical level. The authors position the assay as a standardized quantitative tool for cell biomechanics, biomaterials evaluation and targeted drug screening.

Figure 2. Schematic of the FluidFM single-cell adhesion measurement principle: (a) the AFM/microchannelled-cantilever setup; (b) the approach-hold-retract-detach force/pressure profile; (c-f) the corresponding capture and release steps, imaged live.


Experimental design: multi-parameter quantification of adhesion over time

The study compared two cell models with markedly different phenotypes:

  • hTERT RPE-1: human retinal pigment epithelial cells — epithelial phenotype, highly differentiated, tightly adherent, clearly polarized.
  • HEK 293T: human embryonic kidney cells — poorly differentiated, fibroblast-like, more weakly adherent; a cell line commonly used as an engineering workhorse for viral packaging.

Core measurement protocol:

  • Continuous 40-hour monitoring after seeding, covering the complete maturation cycle of attachment.
  • FluidFM cell-substrate detachment experiments acquiring force-distance curves, from which three mechanical parameters were extracted: adhesion force F_adh (maximum force required to detach the cell from the substrate, in nN), adhesion energy E_adh (total energy required to detach the cell, in pJ), and maximum detachment distance D_max (vertical distance over which the cell stretches before separating from the substrate, in μm).
  • Cell spreading area A_cell was quantified with ImageJ and used to normalize the mechanical parameters, allowing comparison of adhesion efficiency per unit area.
  • In total, 626 single cells were measured (352 HEK293T; 274 RPE-1), across three independent biological replicates.

Figure 3. Representative force-distance curves: (a) the general shape, defining F_adh, E_adh and D_max; (b) HEK 293T at 1-4 hours; (c) hTERT RPE-1 at 0.25-1 hour.


Results: differentiation state determines the adhesion dynamics pattern

1. Overall adhesion strength and maturation speed differ substantially

Key finding: RPE-1 spreads and adheres far more strongly overall, reaching a stable attachment state much faster and more efficiently than HEK293T.

Steady-state comparison (40-hour endpoint) > 


Table 1. Steady-state adhesion parameters, redrawn from the article's summary graphic. 

Figure 4. Dynamic changes in adhesion parameters over the 40-hour observation window: (a-b) spreading area A_cell and adhesion force F_adh vs. time; (c-d) the same data as bar charts with individual-cell data points; (e-f) adhesion energy E_adh and detachment distance D_max vs. time; (g-h) the same data as bar charts with individual-cell data points. Red = HEK293T, blue = hTERT RPE-1.

2. Normalizing by unit area

To remove the confound of cell size, the team divided the mechanical parameters by spreading area and compared adhesion efficiency per unit area:

  • hTERT RPE-1: per-area adhesion force and adhesion energy peak early, at 0.75-1 hour, reaching a peak adhesion force of 0.56 nN/μm²; both then decline gradually as spreading continues.
  • HEK 293T: per-area values do not peak until 4 hours, reaching only 0.13 nN/μm², and remain broadly stable thereafter with no marked decline.
  • At their respective peaks, RPE-1's per-area adhesion force is 4.3× that of HEK293T, and its per-area adhesion energy is 7.7× higher.

The two cell lines therefore follow entirely different adhesion strategies: RPE-1 establishes a fast, strong initial anchorage and then dynamically down-regulates its per-area adhesion strength as it adopts an epithelial, polarized growth pattern; HEK293T instead adheres progressively and steadily, building up total adhesion slowly over time.

Where innovation meets performance

3. Parameter correlations

  • In both cell types, the correlation between adhesion force F_adh and spreading area A_cell is weak (R ≈ 0.4).
  • In RPE-1, a characteristic “adhesion saturation” effect appears mid-attachment: spreading area continues to increase while total adhesion force stops rising.
  • In HEK293T, adhesion force, adhesion energy and detachment distance are more strongly linearly correlated with each other (R ≈ 0.86), i.e. these mechanical parameters change in step; RPE-1's data show greater scatter, reflecting more complex mechanical regulation.
  • After area normalization, the correlations for RPE-1's per-area parameters become markedly stronger — evidence that raw cell size differences were masking the true underlying differences in adhesion-molecule behaviour.

Figure 6. Scatter plots and regression of adhesion force against the other mechanical parameters (raw, non-normalized), for HEK293T (a-c) and hTERT RPE-1 (d-f), colour-coded by time point.

Figure 7. Scatter plots and regression of the per-unit-area (normalized) parameters, for HEK293T (a-b) and hTERT RPE-1 (c-d), colour-coded by time point.


Mechanistic discussion: molecular basis, regulatory logic and technical limitations

1. Molecular basis of the difference

RPE-1 shows high expression of integrins α3/α5/α6/β1/β5, focal-adhesion proteins and ankyrin, which can form hemidesmosome-like structures that reinforce attachment to the substrate. HEK293T shows generally lower integrin expression and slower focal-adhesion assembly.

2. The logic of “adhesion saturation”

In the later stage of spreading, cells stop increasing total adhesion force and instead balance mechanical signalling by redistributing focal adhesions and adjusting cytoskeletal tension, avoiding over-rigid anchorage and preserving the mechanical plasticity needed for epithelial-mesenchymal transition.

3. Stated technical limitations

  • FluidFM measures one single cell at a time, which limits batch statistical throughput.
  • Projected spreading area and true substrate contact area can differ.
  • Cell-cycle stage and the probe's fluidic environment can introduce systematic error.

Scientific value and prospective applications

Basic-research value

  • This is presented as the first use of FluidFM to achieve 40-hour, ultra-long-duration, multi-parameter single-cell adhesion quantification, establishing a complete framework for quantifying cell adhesion dynamics.
  • It provides direct, quantitative evidence that differentiation state determines the pattern of adhesion dynamics, linking cell mechanics to differentiation.

Anticipated application areas

  • Biomaterials evaluation: quantifying how strongly cells adhere to a material surface, to optimize tissue-engineering scaffolds and implant materials.
  • Drug screening: using adhesion force / adhesion energy as biophysical readouts to screen for compounds that modulate cell migration or tumor invasion.
  • Cross-platform integration: combination with traction-force microscopy, Brillouin microscopy or label-free optical biosensors to build multi-dimensional mechanical/chemical single-cell measurement platforms.

Study conclusions

Using FluidFM fluidic-force-microscopy single-cell force spectroscopy, the authors achieved long-duration, in-situ adhesion mechanics measurement of living cells and compared the complete attachment-cycle dynamics of hTERT RPE-1 and HEK 293T:

  • The highly differentiated epithelial line RPE-1 establishes high-strength adhesion rapidly, within 1 hour, and shows the capacity for dynamic mechanical regulation thereafter.
  • The poorly differentiated HEK293T matures slowly over about 4 hours, with lower adhesion strength and a more conservative, stable regulatory pattern.
  • Cell spreading area and adhesion force become decoupled, evidencing an “adhesion saturation” adaptive regulatory mechanism.
  • The authors position FluidFM as a new, efficient, low-damage, wide-dynamic-range quantitative tool for single-cell adhesion research.
Graphical abstract

Figure 8. Graphical abstract: the FluidFM-SCFS workflow, from force-distance curve acquisition through curve analysis to single-cell adhesion parameter comparison (F_adh, E_adh, D_max, A_cell) between HEK293T and hTERT RPE-1.


Instrument platform (as described by Qingdi Quantum Scientific Instruments)

The article closes with a description, from the distributor Qingdi Quantum Scientific Instruments (Beijing) Co., Ltd., of a broader single-cell mechanics platform built around three complementary instruments:

  • FluidFM OMNIUM multifunctional single-cell micromanipulation system — using a hollow nanoscale probe to perform single-cell force spectroscopy over an nN-μN range; can grab, compress and test the adhesion of cells, works with both adherent and suspension cells, and combines mechanical measurement with microfluidic single-cell manipulation.
  • SENSOCELL biological optical tweezers — fN-pN force sensitivity, manipulating cells and intracellular components purely optically, for molecular- and subcellular-scale mechanical analysis.
  • Discoverer biological Brillouin microscope — a label-free, non-contact method requiring no probe contact with the sample, able to acquire in-situ internal stiffness-distribution information from organoids and 3D cell spheroids.

According to the article, together these three instruments are intended to cover mechanobiology experiments from the single-molecule and single-cell scale up to three-dimensional tissue samples, supporting research in mechanotransduction, tumor biology and stem-cell differentiation. 



Source: antpedia.com, “Peking University and Qingdi Quantum Achieve Major Progress in Single-Cell Adhesion Dynamics, Enabling 40-Hour Non-Destructive Living-Cell Quantitative Tracking,” published 17 September 2026. https://www.antpedia.com/ibook6212/n/648126-n.html