journal article·2021-03Open access

Particle Stiffness and Surface Topography Determine Macrophage‐Mediated Removal of Surface Adsorbed Particles

Aaron Lee, Dedy Septiadi, Patricia Taladriz‐Blanco, Mauro Almeida, Laetitia Haeni, Miguel Spuch‐Calvar, Wildan Abdussalam, Barbara Rothen‐Rutishauser, Alke Petri‐Fink

Advanced Healthcare Materials· Volume 10· Issue 6

Abstract

Abstract Cellular surface recognition and behavior are driven by a host of physical and chemical features which have been exploited to influence particle–cell interactions. Mechanical and topographical cues define the physical milieu which plays an important role in defining a range of cellular activities such as material recognition, adhesion, and migration through cytoskeletal organization and signaling. In order to elucidate the effect of local mechanical and topographical features generated by the adsorption of particles to an underlying surface on primary human monocyte‐derived macrophages (MDM), a series of poly(N‐isopropylacrylamide) (pNIPAM) particles with differing rigidity are self‐assembled to form a defined particle‐decorated surface. Assembly of particle‐decorated surfaces is facilitated by modification of the underlying glass to possess a positive charge through functionalization using 3‐aminopropyltriethoxysilane (APTES) or coating with poly(L‐lysine) (PLL). MDMs are noted to preferentially remove particles with higher degrees of crosslinking (stiffer) than those with lower degrees of crosslinking (softer). Alterations to the surface density of particles enabled a greater area of the particle‐decorated surface to be cleared. Uniquely, the impact of particle adsorption is evinced to have a direct impact on topographical recognition of the surface, suggesting a novel approach for controllably affecting cell‐surface recognition and response.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Polymer Surface Interaction Studies · Cellular Mechanics and Interactions · 3D Printing in Biomedical Research

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

Affiliations

Adolphe Merkle Institute University of Fribourg Chemin des Verdiers 4 Fribourg 1700 Switzerland

Department of High Energy Density Helmholtz‐Zentrum Dresden‐Rossendorf Bautzner Landstraße 400 Dresden 01328 Germany

Department of Chemistry University of Fribourg Chemin du Musée 9 Fribourg 1700 Switzerland

Funding

Adolphe Merkle Foundation · Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

References (53)

Show source-provided references
1. 10.1016/j.cell.2006.06.04410.1016/j.cell.2006.06.044 ↗
2. 10.1016/S0006-3495(00)76279-510.1016/S0006-3495(00)76279-5 ↗
3. 10.1021/acs.nanolett.9b0476110.1021/acs.nanolett.9b04761 ↗
4. 10.1016/j.bpj.2014.07.06210.1016/j.bpj.2014.07.062 ↗
5. 10.1002/adma.20180618110.1002/adma.201806181 ↗
6. 10.1016/j.colsurfb.2020.11097110.1016/j.colsurfb.2020.110971 ↗
7. 10.1021/acsnano.5b0014710.1021/acsnano.5b00147 ↗
8. 10.1073/pnas.191016611610.1073/pnas.1910166116 ↗
9. 10.3390/ijms1908234410.3390/ijms19082344 ↗
10. Bowling R. A. · 1988
11. 10.3390/ijms13101277310.3390/ijms131012773 ↗
12. 10.1002/adfm.20200263010.1002/adfm.202002630 ↗
13. 10.1002/jbm.b.3339710.1002/jbm.b.33397 ↗
14. 10.1021/bm400976510.1021/bm4009765 ↗
15. 10.1016/j.jmmm.2016.11.02310.1016/j.jmmm.2016.11.023 ↗
16. 10.1126/science.277.5330.123210.1126/science.277.5330.1232 ↗
17. 10.1002/adfm.20100073010.1002/adfm.201000730 ↗
18. 10.1039/C6CP07896F10.1039/C6CP07896F ↗
19. 10.1039/c3sm50374g10.1039/c3sm50374g ↗
20. 10.1039/C1SM06489D10.1039/C1SM06489D ↗
21. 10.1021/ma021719p10.1021/ma021719p ↗
22. 10.1039/C8NR02911C10.1039/C8NR02911C ↗
23. 10.1021/acsabm.8b0011110.1021/acsabm.8b00111 ↗
24. 10.1007/s00396-010-2346-z10.1007/s00396-010-2346-z ↗
25. 10.1038/s41578-019-0169-110.1038/s41578-019-0169-1 ↗
26. 10.1016/j.semcdb.2017.08.03110.1016/j.semcdb.2017.08.031 ↗
27. 10.1146/annurev-bioeng-062117-12122410.1146/annurev-bioeng-062117-121224 ↗
28. Gordon S. · Eur. J. Appl. Physiol. · 2017 · 469 · 365
29. 10.1016/j.jcis.2006.03.04510.1016/j.jcis.2006.03.045 ↗
30. 10.1021/la902826n10.1021/la902826n ↗
31. 10.1039/b821583a10.1039/b821583a ↗
32. 10.1038/s41467-019-13877-w10.1038/s41467-019-13877-w ↗
33. 10.1002/app.4877310.1002/app.48773 ↗
34. 10.1021/ab500106310.1021/ab5001063 ↗
35. 10.1242/jcs.50.1.110.1242/jcs.50.1.1 ↗
36. 10.1039/C8LC00431E10.1039/C8LC00431E ↗
37. 10.1016/j.actbio.2011.01.00610.1016/j.actbio.2011.01.006 ↗
38. 10.1021/acs.accounts.7b0059410.1021/acs.accounts.7b00594 ↗
39. 10.1007/s00018-014-1796-810.1007/s00018-014-1796-8 ↗
40. 10.1016/j.actbio.2019.02.04810.1016/j.actbio.2019.02.048 ↗
41. 10.1038/s41598-018-25655-710.1038/s41598-018-25655-7 ↗
42. 10.1016/j.mattod.2015.01.01910.1016/j.mattod.2015.01.019 ↗
43. 10.1002/jbm.a.3450910.1002/jbm.a.34509 ↗
44. 10.1039/C6BM00920D10.1039/C6BM00920D ↗
45. 10.1038/srep4249510.1038/srep42495 ↗
46. 10.3389/fimmu.2018.0311810.3389/fimmu.2018.03118 ↗
47. 10.1016/j.cyto.2018.08.03010.1016/j.cyto.2018.08.030 ↗
48. 10.1002/jbm.a.3266910.1002/jbm.a.32669 ↗
49. 10.1002/jbm.a.3479910.1002/jbm.a.34799 ↗
50. 10.1016/0166-6622(86)80274-810.1016/0166-6622(86)80274-8 ↗
51. 10.1021/la304226v10.1021/la304226v ↗
52. 10.1143/JJAP.45.425910.1143/JJAP.45.4259 ↗
53. Barasova H. · J. Visualized Exp. · 2020 · 159 · e61090