DataVXACS NanoPaper
journal article·2017-09-26Open access

Development of a Virtual Cell Model to Predict Cell Response to Substrate Topography

Tiam Heydari, Maziar Heidari, Omid Mashinchian, Michal Wojcik, Ke Xu, Matthew John Dalby, Morteza Mahmoudi, Mohammad Reza Ejtehadi

ACS Nano· Volume 11· Issue 9
Publisher pageOpen full text
Source abstract

Abstract

Cells can sense and respond to changes in the topographical, chemical, and mechanical information in their environment. Engineered substrates are increasingly being developed that exploit these physical attributes to direct cell responses (most notably mesenchymal stem cells) and therefore control cell behavior toward desired applications. However, there are very few methods available for robust and accurate modeling that can predict cell behavior prior to experimental evaluations, and this typically means that many cell test iterations are needed to identify best material features. Here, we developed a unifying computational framework to create a multicomponent cell model, called the "virtual cell model" that has the capability to predict changes in whole cell and cell nucleus characteristics (in terms of shape, direction, and even chromatin conformation) on a range of cell substrates. Modeling data were correlated with cell culture experimental outcomes in order to confirm the applicability of the virtual cell model and demonstrating the ability to reflect the qualitative behavior of mesenchymal stem cells. This may provide a reliable, efficient, and fast high-throughput approach for the development of optimized substrates for a broad range of cellular applications including stem cell differentiation.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Cellular Mechanics and Interactions · 3D Printing in Biomedical Research · Cancer Cells and Metastasis

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Physics, Sharif University of Technology, Tehran, 11155-9161, Iran

Max Planck Institute for Polymer Research, Ackermannweg 10, 55128 Mainz, Germany

Nestlé Institute of Health Sciences (NIHS), EPFL, Innovation Park, 1015 Lausanne, Switzerland

Doctoral Program in Biotechnology and Bioengineering, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland

Department of Chemistry, University of California, Berkeley, California 94720, United States

Division of Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States

Centre for Cell Engineering, Institute of Molecular, Cell and Systems Biology, College of Medical Veterinary and Life Sciences, University of Glasgow, Joseph Black Building, Glasgow, G12 8QQ, U.K.

Nanotechnology Research Center and Department of Nanotechnology, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, 14155-6451, Iran

Department of Anesthesiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts 02115, United States

Funding

Division of Graduate Education · David and Lucile Packard Foundation · Biotechnology and Biological Sciences Research Council · National Institute for Medical Research Development

References (48)

Show source-provided references
1. 10.1126/science.245129010.1126/science.2451290 ↗
2. 10.1038/nmat398010.1038/nmat3980 ↗
3. 10.1126/science.110658710.1126/science.1106587 ↗
4. 10.2217/nnm.14.22510.2217/nnm.14.225 ↗
5. 10.1038/nmat201310.1038/nmat2013 ↗
6. 10.1016/j.cell.2006.06.04410.1016/j.cell.2006.06.044 ↗
7. 10.1016/S1534-5807(04)00075-910.1016/S1534-5807(04)00075-9 ↗
8. 10.1073/pnas.090326910710.1073/pnas.0903269107 ↗
9. 10.1016/j.yexcr.2007.02.03110.1016/j.yexcr.2007.02.031 ↗
10. 10.1016/j.biomaterials.2009.05.04910.1016/j.biomaterials.2009.05.049 ↗
11. 10.1038/nmat398010.1038/nmat3980 ↗
12. 10.1021/nn304046m10.1021/nn304046m ↗
13. 10.1016/j.biomaterials.2016.11.03210.1016/j.biomaterials.2016.11.032 ↗
14. 10.1021/acsami.6b0330210.1021/acsami.6b03302 ↗
15. 10.1021/nn403844q10.1021/nn403844q ↗
16. 10.1021/am503045b10.1021/am503045b ↗
17. 10.1038/nmat397210.1038/nmat3972 ↗
18. 10.1038/nmat281210.1038/nmat2812 ↗
19. 10.1038/nmeth.173210.1038/nmeth.1732 ↗
20. 10.1073/pnas.110986110810.1073/pnas.1109861108 ↗
21. 10.1016/j.biomaterials.2005.01.05810.1016/j.biomaterials.2005.01.058 ↗
22. 10.1016/j.cell.2013.08.02610.1016/j.cell.2013.08.026 ↗
23. 10.1161/CIRCRESAHA.108.17398910.1161/CIRCRESAHA.108.173989 ↗
24. 10.1016/j.biomaterials.2005.08.02810.1016/j.biomaterials.2005.08.028 ↗
25. 10.1529/biophysj.105.07150610.1529/biophysj.105.071506 ↗
26. 10.1038/ncomms166810.1038/ncomms1668 ↗
27. 10.1038/srep0391010.1038/srep03910 ↗
28. 10.1016/j.bpj.2015.02.02210.1016/j.bpj.2015.02.022 ↗
29. 10.1083/jcb.20040500410.1083/jcb.200405004 ↗
30. 10.1016/j.stem.2009.06.01610.1016/j.stem.2009.06.016 ↗
31. 10.1038/nmat358610.1038/nmat3586 ↗
32. 10.1038/nmat388910.1038/nmat3889 ↗
33. 10.1038/nrm259410.1038/nrm2594 ↗
34. 10.1038/nature1649610.1038/nature16496 ↗
35. 10.1126/science.118136910.1126/science.1181369 ↗
36. 10.1038/nmat305810.1038/nmat3058 ↗
37. 10.1371/journal.pcbi.100486310.1371/journal.pcbi.1004863 ↗
38. 10.1103/PhysRevE.72.01190110.1103/PhysRevE.72.011901 ↗
39. 10.1088/0305-4470/28/23/01210.1088/0305-4470/28/23/012 ↗
40. 10.1016/j.compstruc.2009.09.00110.1016/j.compstruc.2009.09.001 ↗
41. 10.1002/nme.257910.1002/nme.2579 ↗
42. 10.1103/PhysRevE.71.01190310.1103/PhysRevE.71.011903 ↗
43. Sackmann E. · 1998 · 1
44. 10.1038/nature0890810.1038/nature08908 ↗
45. 10.1103/RevModPhys.85.132710.1103/RevModPhys.85.1327 ↗
46. 10.1038/nrm295710.1038/nrm2957 ↗
47. 10.1038/nphys161310.1038/nphys1613 ↗
48. 10.1152/ajpcell.00224.200410.1152/ajpcell.00224.2004 ↗