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A high throughput approach for analysis of cell nuclear deformability at single cell level
Date
2016-11-14
Author
Ermis, Menekse
Akkaynak, Derya
Chen, Pu
Demirci, Utkan
Hasırcı, Vasıf Nejat
Metadata
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This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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Various physiological and pathological processes, such as cell differentiation, migration, attachment, and metastasis are highly dependent on nuclear elasticity. Nuclear morphology directly reflects the elasticity of the nucleus. We propose that quantification of changes in nuclear morphology on surfaces with defined topography will enable us to assess nuclear elasticity and deformability. Here, we used soft lithography techniques to produce 3 dimensional (3-D) cell culture substrates decorated with micron sized pillar structures of variable aspect ratios and dimensions to induce changes in cellular and nuclear morphology. We developed a high content image analysis algorithm to quantify changes in nuclear morphology at the single-cell level in response to physical cues from the 3-D culture substrate. We present that nuclear stiffness can be used as a physical parameter to evaluate cancer cells based on their lineage and in comparison to non-cancerous cells originating from the same tissue type. This methodology can be exploited for systematic study of mechanical characteristics of large cell populations complementing conventional tools such as atomic force microscopy and nanoindentation.
Subject Keywords
Surfaces
,
Stiffness
,
Migration
,
Topography
,
Deformation
,
Breast
,
Cancer
,
Stem-Cells
,
Interobserver Reproducibility
,
A-Type Lamins
URI
https://hdl.handle.net/11511/31896
Journal
SCIENTIFIC REPORTS
DOI
https://doi.org/10.1038/srep36917
Collections
Graduate School of Natural and Applied Sciences, Article
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M. Ermis, D. Akkaynak, P. Chen, U. Demirci, and V. N. Hasırcı, “A high throughput approach for analysis of cell nuclear deformability at single cell level,”
SCIENTIFIC REPORTS
, pp. 0–0, 2016, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/31896.