A high throughput approach for analysis of cell nuclear deformability at single cell level
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 sur...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
2017
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| Online Access: | http://hdl.handle.net/1721.1/107767 |
| _version_ | 1826214139787214848 |
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| author | Ermis, Menekse Chen, Pu Demirci, Utkan Hasirci, Vasif Akkaynak Yellin, Derya |
| author2 | Massachusetts Institute of Technology. Department of Mechanical Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Mechanical Engineering Ermis, Menekse Chen, Pu Demirci, Utkan Hasirci, Vasif Akkaynak Yellin, Derya |
| author_sort | Ermis, Menekse |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T16:00:26Z |
| format | Article |
| id | mit-1721.1/107767 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T16:00:26Z |
| publishDate | 2017 |
| record_format | dspace |
| spelling | mit-1721.1/1077672022-10-02T05:41:59Z A high throughput approach for analysis of cell nuclear deformability at single cell level Ermis, Menekse Chen, Pu Demirci, Utkan Hasirci, Vasif Akkaynak Yellin, Derya Massachusetts Institute of Technology. Department of Mechanical Engineering Akkaynak Yellin, Derya 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. 2017-03-29T18:00:51Z 2017-03-29T18:00:51Z 2017-03-29 Article http://purl.org/eprint/type/JournalArticle 2045-2322 http://hdl.handle.net/1721.1/107767 Ermis, Menekse et al. “A High Throughput Approach for Analysis of Cell Nuclear Deformability at Single Cell Level.” Scientific Reports 6.1 (2016): n. pag. en_US http://dx.doi.org/10.1038/srep36917 Scientific Reports Creative Commons Attribution 4.0 International License http://creativecommons.org/licenses/by/4.0/ application/pdf Nature |
| spellingShingle | Ermis, Menekse Chen, Pu Demirci, Utkan Hasirci, Vasif Akkaynak Yellin, Derya A high throughput approach for analysis of cell nuclear deformability at single cell level |
| title | A high throughput approach for analysis of cell nuclear deformability at single cell level |
| title_full | A high throughput approach for analysis of cell nuclear deformability at single cell level |
| title_fullStr | A high throughput approach for analysis of cell nuclear deformability at single cell level |
| title_full_unstemmed | A high throughput approach for analysis of cell nuclear deformability at single cell level |
| title_short | A high throughput approach for analysis of cell nuclear deformability at single cell level |
| title_sort | high throughput approach for analysis of cell nuclear deformability at single cell level |
| url | http://hdl.handle.net/1721.1/107767 |
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