Back

Single-Cell Stress Analysis in Tumoroids.

Rodrigues de Mercado, R.; Beslmuller, K.; Vorselen, D.; Danen, E.; Schmidt, T.

2024-08-29 biophysics
10.1101/2024.01.22.576025 bioRxiv
Show abstract

The reciprocal interplay between cancer cells and their local environment, mediated by mechanical forces, necessitates a deeper experimental understanding. This requires precise quantitative measurements of cellular forces within the intricate three-dimensional context of the extracellular matrix. While methods such as traction-force microscopy and micropillar-array technology have effectively reported on cellular forces in two-dimensional cell culture, extending these techniques to three dimensions has proven exceedingly challenging. In the current study, we introduced a novel approach utilizing soft, elastic hydrogel microparticles, resembling the size of cells, to serve as specific and sensitive traction probes in three-dimensional cell culture of collagen-embedded tumoroids. Our methodology relies on high-resolution detection of microparticle deformations. These deformations are translated into spatially resolved traction fields, reaching a spatial resolution down to 1 {micro}m and thereby detecting traction forces as low as 30 Pa. By integrating this high-resolution traction analysis with three-dimensional cell segmentation, we reconstructed the traction fields originating from individual cells. Our methodology enables us to explore the relationships between cellular characteristics, extracellular traction fields, and cellular responses. We observed that cellular stresses ranged from 10 to 100 Pa, integrating to cellular forces from 0.1 to 100 nN, which correlated with the localization of the cells actin skeleton, and the interaction area that cells developed towards the microparticles. Interestingly, the interaction of cells with inert microparticles appeared to be governed by contact mechanics resembling that of two soft spheres. The methodology presented here not only addresses the challenges of extending traditional stress-probe techniques to three dimensions, but also opens a strategy for the study of specific interactions between cells and the local tumoroid environment in a strive to further understand cell-matrix reciprocity in tissue. Here, we present a novel methodology that permits the measurement of quantitative surface stresses on small, inert, elastic, deformable microparticles. Our approach tackles the involved task of mapping local three-dimensional stress fields within tissue. Our methodology was successfully applied to analyze local stresses within a tumor spheroid. We foresee that our research represents a significant advancement toward comprehending the intricate dynamics of cell-matrix reciprocity within tissue.

Matching journals

The top 14 journals account for 50% of the predicted probability mass.

1
Scientific Reports
3102 papers in training set
Top 4%
12.3%
2
Acta Biomaterialia
85 papers in training set
Top 0.1%
6.3%
3
Nano Letters
63 papers in training set
Top 0.7%
3.9%
4
APL Bioengineering
18 papers in training set
Top 0.1%
3.6%
5
The European Physical Journal E
15 papers in training set
Top 0.1%
3.1%
6
iScience
1063 papers in training set
Top 6%
3.1%
7
Nanoscale
39 papers in training set
Top 0.1%
2.9%
8
eLife
5422 papers in training set
Top 31%
2.7%
9
Biophysical Journal
545 papers in training set
Top 2%
2.6%
10
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 3%
2.1%
11
Lab on a Chip
88 papers in training set
Top 0.5%
2.1%
12
Physical Biology
43 papers in training set
Top 0.8%
2.1%
13
Soft Matter
50 papers in training set
Top 0.2%
1.8%
14
Advanced Healthcare Materials
71 papers in training set
Top 1.0%
1.8%
50% of probability mass above
15
Advanced Science
249 papers in training set
Top 10%
1.8%
16
Analytical Chemistry
205 papers in training set
Top 1%
1.7%
17
Biomedical Optics Express
84 papers in training set
Top 0.7%
1.7%
18
Small Methods
26 papers in training set
Top 0.4%
1.7%
19
PLOS ONE
4510 papers in training set
Top 54%
1.7%
20
Frontiers in Physics
20 papers in training set
Top 0.4%
1.7%
21
ACS Sensors
45 papers in training set
Top 0.8%
1.5%
22
Biophysical Reports
36 papers in training set
Top 0.2%
1.5%
23
Nature Communications
4913 papers in training set
Top 55%
1.3%
24
The European Physical Journal Plus
13 papers in training set
Top 0.5%
1.3%
25
Small
70 papers in training set
Top 0.7%
1.2%
26
Development
440 papers in training set
Top 2%
1.2%
27
Cell Reports Methods
141 papers in training set
Top 4%
1.1%
28
Science Advances
1098 papers in training set
Top 25%
0.9%
29
Journal of Cell Science
353 papers in training set
Top 2%
0.9%
30
European Biophysics Journal
11 papers in training set
Top 0.2%
0.8%