DataVXAdvanced SciencePaper
journal article·2022-08Open access

Synchronized, Spontaneous, and Oscillatory Detachment of Eukaryotic Cells: A New Tool for Cell Characterization and Identification

Derick Yongabi, Mehran Khorshid, Patricia Losada‐Pérez, Soroush Bakhshi Sichani, Stijn Jooken, Wouter Stilman, Florian Theßeling, Tobie Martens, Toon Van Thillo, Kevin Verstrepen, Peter Dedecker, Pieter Vanden Berghe, Minne Paul Lettinga, Carmen Bartic, Peter Lieberzeit, Michael J. Schöning, Ronald Thoelen, Marc Fransen, Michael Wübbenhorst, Patrick Wagner

Advanced Science· Volume 9· Issue 24
Publisher pageOpen full text
Source abstract

Abstract

Abstract Despite the importance of cell characterization and identification for diagnostic and therapeutic applications, developing fast and label‐free methods without (bio)‐chemical markers or surface‐engineered receptors remains challenging. Here, we exploit the natural cellular response to mild thermal stimuli and propose a label‐ and receptor‐free method for fast and facile cell characterization. Cell suspensions in a dedicated sensor are exposed to a temperature gradient, which stimulates synchronized and spontaneous cell‐detachment with sharply defined time‐patterns, a phenomenon unknown from literature. These patterns depend on metabolic activity (controlled through temperature, nutrients, and drugs) and provide a library of cell‐type‐specific indicators, allowing to distinguish several yeast strains as well as cancer cells. Under specific conditions, synchronized glycolytic‐type oscillations are observed during detachment of mammalian and yeast‐cell ensembles, providing additional cell‐specific signatures. These findings suggest potential applications for cell viability analysis and for assessing the collective response of cancer cells to drugs.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Microfluidic and Capillary Electrophoresis Applications · thermodynamics and calorimetric analyses

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

Affiliations

Laboratory for Soft Matter and Biophysics Department of Physics and Astronomy KU Leuven Celestijnenlaan 200 D Leuven B‐3001 Belgium

Faculté des Sciences Experimental Soft Matter and Thermal Physics (EST) Université Libre de Bruxelles Boulevard du Triomphe ACC.2 Brussels B‐1050 Belgium

Laboratory for Systems Biology VIB Center for Microbiology Department of Microbial and Molecular Systems KU Leuven Gaston Geenslaan 1 Heverlee B‐3001 Belgium

Laboratory for Enteric Neuroscience (LENS) Department of Chronic Diseases Metabolism and Ageing KU Leuven Herestraat 49 Leuven B‐3000 Belgium

Biochemistry Molecular and Structural Biology KU Leuven Celestijnenlaan 200 G Leuven B‐3001 Belgium

Biomacromolecular Systems and Processes (IBI‐4) Research Center Jülich GmbH Leo‐Brandt‐Straße D‐52425 Jülich Germany

Faculty of Chemistry Department of Physical Chemistry University of Vienna Währinger, Straße 38 Vienna A‐1090 Austria

Institute of Nano‐ and Biotechnologies INB Aachen University of Applied Sciences Heinrich‐Mußmann‐Straße 1 D‐52428 Jülich Germany

Institute for Materials Research Hasselt University Wetenschapspark 1 Diepenbeek B‐3590 Belgium

Laboratory of Peroxisome Biology and Intracellular Communication Department of Cellular and Molecular Medicine KU Leuven Herestraat 49 Leuven B‐3000 Belgium

Funding

KU Leuven

References (73)

Show source-provided references
1. 10.3390/mi1205051910.3390/mi12050519 ↗
2. 10.1039/b710054j10.1039/b710054j ↗
3. 10.3390/diagnostics604003810.3390/diagnostics6040038 ↗
4. 10.1038/s41467-021-24627-210.1038/s41467-021-24627-2 ↗
5. 10.3390/pathogens402030710.3390/pathogens4020307 ↗
6. 10.1002/jbm.a.3016910.1002/jbm.a.30169 ↗
7. 10.3390/s2107244010.3390/s21072440 ↗
8. 10.1021/ac048196z10.1021/ac048196z ↗
9. Tjandra A. D. · 2020 · 12
10. 10.1002/advs.20220091010.1002/advs.202200910 ↗
11. 10.1016/j.matdes.2020.10940210.1016/j.matdes.2020.109402 ↗
12. 10.1016/j.cell.2012.03.01210.1016/j.cell.2012.03.012 ↗
13. 10.3390/cells908176910.3390/cells9081769 ↗
14. 10.1073/pnas.201007511810.1073/pnas.2010075118 ↗
15. 10.1016/j.coisb.2017.03.00510.1016/j.coisb.2017.03.005 ↗
16. 10.1016/j.bpj.2015.06.01610.1016/j.bpj.2015.06.016 ↗
17. Yadav S. · Front. Cell Dev. Biol. · 2021 · 9 · 106
18. 10.1021/ja901538n10.1021/ja901538n ↗
19. 10.1002/masy.20055092310.1002/masy.200550923 ↗
20. 10.1021/nn300147e10.1021/nn300147e ↗
21. 10.3390/ijms2203147610.3390/ijms22031476 ↗
22. Nicolis G. · 1977
23. Schrödinger E. · 1944
24. 10.1098/rstb.1952.001210.1098/rstb.1952.0012 ↗
25. 10.1021/acs.jpcb.1c0132510.1021/acs.jpcb.1c01325 ↗
26. 10.1186/s13046-019-1214-z10.1186/s13046-019-1214-z ↗
27. 10.1063/1.498686510.1063/1.4986865 ↗
28. 10.1016/j.tips.2015.10.00510.1016/j.tips.2015.10.005 ↗
29. 10.3390/s12091234710.3390/s120912347 ↗
30. 10.14715/cmb/2018.64.11.810.14715/cmb/2018.64.11.8 ↗
31. 10.1111/1567-1364.1209110.1111/1567-1364.12091 ↗
32. 10.1074/jbc.M40531920010.1074/jbc.M405319200 ↗
33. 10.1111/j.0269-8463.2004.00841.x10.1111/j.0269-8463.2004.00841.x ↗
34. 10.1016/j.cub.2008.09.04110.1016/j.cub.2008.09.041 ↗
35. 10.15698/mic2020.07.72210.15698/mic2020.07.722 ↗
36. 10.1038/nphys361510.1038/nphys3615 ↗
37. 10.1111/1574-6976.1205510.1111/1574-6976.12055 ↗
38. 10.1016/j.cell.2006.12.03910.1016/j.cell.2006.12.039 ↗
39. 10.1038/ncb223110.1038/ncb2231 ↗
40. 10.1073/pnas.201848011810.1073/pnas.2018480118 ↗
41. 10.1016/j.ceb.2017.06.00610.1016/j.ceb.2017.06.006 ↗
42. 10.1038/nature1436710.1038/nature14367 ↗
43. 10.1242/bio.2013678310.1242/bio.20136783 ↗
44. 10.1126/science.121837710.1126/science.1218377 ↗
45. 10.1038/ncb220510.1038/ncb2205 ↗
46. 10.1016/S0006-3495(00)76667-710.1016/S0006-3495(00)76667-7 ↗
47. Amemiya T. · 2021 · 15
48. 10.1016/j.bpj.2009.02.02610.1016/j.bpj.2009.02.026 ↗
49. 10.1111/j.1574-6968.2004.tb09656.x10.1111/j.1574-6968.2004.tb09656.x ↗
50. 10.1038/s41598-020-76242-810.1038/s41598-020-76242-8 ↗
51. 10.1074/jbc.271.40.2444210.1074/jbc.271.40.24442 ↗
52. 10.1038/nrc147810.1038/nrc1478 ↗
53. 10.1093/femsyr/fov10710.1093/femsyr/fov107 ↗
54. 10.1534/genetics.111.13076510.1534/genetics.111.130765 ↗
55. 10.1016/j.jcis.2020.10.03810.1016/j.jcis.2020.10.038 ↗
56. 10.1073/pnas.110543010810.1073/pnas.1105430108 ↗
57. 10.3390/cancers1108109810.3390/cancers11081098 ↗
58. 10.1158/1055-9965.EPI-19-006610.1158/1055-9965.EPI-19-0066 ↗
59. 10.1042/0264-6021:358062710.1042/0264-6021:3580627 ↗
60. 10.1152/jappl.1994.76.5.218610.1152/jappl.1994.76.5.2186 ↗
61. 10.1109/TDEI.2018.00709210.1109/TDEI.2018.007092 ↗
62. 10.1021/am401605d10.1021/am401605d ↗
63. 10.1002/1521-4095(200110)13:19<1480::AID-ADMA1480>3.0.CO;2-V10.1002/1521-4095(200110)13:19<1480::AID-ADMA1480>3.0.CO;2-V ↗
64. 10.1016/j.snb.2017.08.12210.1016/j.snb.2017.08.122 ↗
65. 10.1002/pssa.20160075810.1002/pssa.201600758 ↗
66. 10.1002/pssa.20143106010.1002/pssa.201431060 ↗
67. 10.1016/j.cis.2019.05.00510.1016/j.cis.2019.05.005 ↗
68. 10.1021/acsami.0c0035310.1021/acsami.0c00353 ↗
69. 10.1016/j.bios.2019.04.02610.1016/j.bios.2019.04.026 ↗
70. 10.1038/s41467-021-22043-010.1038/s41467-021-22043-0 ↗
71. 10.1016/j.ymben.2020.02.00410.1016/j.ymben.2020.02.004 ↗
72. 10.1117/1.JBO.17.12.12600810.1117/1.JBO.17.12.126008 ↗
73. 10.1063/1.86875510.1063/1.868755 ↗