journal article·2026-01Open access

De Novo Gene Transcription of Connexin Mediates Cytoplasmic Fluid Exchange and Flocking Transitions in Physiological and Cancerous Epithelial Systems

Hind Abdo, Leonardo Barzaghi, Yuan Shen, Edoardo Bellini, Emanuele Martini, Serena Magni, Sara Barozzi, Fabrizio Orsenigo, Dario Parazzoli, Galina V. Beznoussenko, Jasmin Di Franco, Fabian Krautgasser, Jasmin Kaivola, Mario Cinquanta, Alessandro Lazzarin, Sara Sigismund, Johanna Ivaska, Roberto Cerbino, Giorgio Scita

Advanced Science· Volume 13· Issue 6

Abstract

Abstract The initial invasion of tumors requires a transition from a solid, jammed state to a fluid‐like, flocking, unjammed state that enables collective migration. Here, we show that de novo gene transcription is essential for the emergence of flocking in epithelial tissues and identify connexins (Cx) as key mediators of this transition. Using quiescent HaCaT keratinocytes, tumorigenic A431 epidermoid carcinoma cells, primary bronchial epithelial explants, and vocal fold carcinoma (VFC) cells, we find that flocking induction depends on transcriptional programs activated downstream of epidermal growth factor (EGF). EGF stimulation upregulates Cx26 and Cx31 and enhances gap‐junctional intercellular communication (GJIC), which is necessary—though not sufficient—to generate the large‐scale cell‐volume fluctuations and density heterogeneity that accompany unjamming. Sustained signaling through extracellular signal‐regulated kinase 1/2 (ERK1/2) and AKT serine/threonine kinase (AKT) downstream of the EGF receptor (EGFR) is required for connexin induction, linking mechanical state transitions to extracellular cues. Pharmacological inhibition and CRISPR‐Cas9 (clustered regularly interspaced short palindromic repeats–CRISPR associated protein 9) knockout of connexins block unjamming and collective motility. VFC cells display constitutively elevated connexins and persistent flocking that is highly sensitive to connexin inhibition. Consistently, high Cx26 expression correlates with reduced survival across carcinomas. These findings reveal a transcriptionally controlled, connexin‐dependent mechanism that enables tissue fluidization and collective invasion.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Connexins and lens biology · Barrier Structure and Function Studies · Axon Guidance and Neuronal Signaling

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

Affiliations

IFOM the FIRC Institute of Molecular Oncology Milan 20139 Italy

Department of Oncology and Haemato‐Oncology University of Milan Milan 20122 Italy

Universite Paris Cite CNRS Institut Jacques Monod Paris F‐75013 France

Faculty of Physics University of Vienna Vienna 1010 Austria

Vienna Doctoral School in Physics University of Vienna Vienna 1010 Austria

Turku Bioscience Center University of Turku and Åbo Akademi University Turku FI‐20520 Finland

Cogentech Società Benefit srl via Adamello 16 Milan 20139 Italy

IEO European Institute of Oncology IRCCS Milan 20141 Italy

Department of Life Technologies University of Turku Turku 20520 Finland

InFLAMES Research Flagship Center University of Turku Turku 20521 Finland

Foundation for the Finnish Cancer Institute Helsinki 00130 Finland

Funding

HORIZON EUROPE European Research Council

References (83)

Show source-provided references
1. 10.1088/1361-6463/aa8e8310.1088/1361-6463/aa8e83 ↗
2. 10.1126/science.aaf654610.1126/science.aaf6546 ↗
3. 10.1038/s41563-019-0425-110.1038/s41563-019-0425-1 ↗
4. 10.1039/C8SM00126J10.1039/C8SM00126J ↗
5. 10.1038/s41467-020-18841-710.1038/s41467-020-18841-7 ↗
6. 10.1038/nrm272010.1038/nrm2720 ↗
7. 10.1038/nrm.2015.1410.1038/nrm.2015.14 ↗
8. 10.1016/j.ceb.2021.07.01110.1016/j.ceb.2021.07.011 ↗
9. 10.1016/j.bpj.2014.11.185610.1016/j.bpj.2014.11.1856 ↗
10. 10.1103/PhysRevE.92.03272910.1103/PhysRevE.92.032729 ↗
11. 10.1146/annurev.cellbio.19.111301.14430910.1146/annurev.cellbio.19.111301.144309 ↗
12. 10.1016/j.ceb.2007.09.00110.1016/j.ceb.2007.09.001 ↗
13. 10.1186/s12964-022-01009-910.1186/s12964-022-01009-9 ↗
14. 10.1007/s12079-017-0397-310.1007/s12079-017-0397-3 ↗
15. 10.3389/fphys.2016.0059610.3389/fphys.2016.00596 ↗
16. 10.1038/s41388-019-0741-610.1038/s41388-019-0741-6 ↗
17. 10.1002/dneu.2073710.1002/dneu.20737 ↗
18. 10.1002/jcp.3048810.1002/jcp.30488 ↗
19. 10.1242/jcs.18501710.1242/jcs.185017 ↗
20. 10.1111/j.1524-475X.2009.00471.x10.1111/j.1524-475X.2009.00471.x ↗
21. 10.1242/bio.06000610.1242/bio.060006 ↗
22. 10.1083/jcb.20191112010.1083/jcb.201911120 ↗
23. 10.1126/scitranslmed.aax893310.1126/scitranslmed.aax8933 ↗
24. 10.3390/biology1102028310.3390/biology11020283 ↗
25. 10.1158/0008-5472.CAN-09-328110.1158/0008-5472.CAN-09-3281 ↗
26. 10.1517/14728222.2010.48786610.1517/14728222.2010.487866 ↗
27. Stoletov K. · J. Cell Sci. · 2013 · 126 · 904
28. 10.1371/journal.pone.011254110.1371/journal.pone.0112541 ↗
29. 10.1038/s41467-018-05578-710.1038/s41467-018-05578-7 ↗
30. 10.1038/nature1013710.1038/nature10137 ↗
31. 10.1007/s10237-023-01723-410.1007/s10237-023-01723-4 ↗
32. 10.1038/s41416-023-02401-z10.1038/s41416-023-02401-z ↗
33. 10.1158/0008-5472.CAN-13-203210.1158/0008-5472.CAN-13-2032 ↗
34. 10.1016/j.anorl.2011.04.00410.1016/j.anorl.2011.04.004 ↗
35. J.Kaivola K.Punovuori M. R.Chastney Y. A.Miroshnikova H.Abdo F.Bertillot F.Krautgasser J. D.Franco J. R. W.Conway G.Follain J.Hagström A.Mäkitie H.Irjala S.Ventelä H.Hamidi G.Scita R.Cerbino S. A.Wickström J.Ivaska bioRxiv2024 2024.08.22.609159.
36. 10.1016/j.cell.2007.12.03310.1016/j.cell.2007.12.033 ↗
37. 10.1038/ncb344310.1038/ncb3443 ↗
38. 10.1038/s41556-018-0247-410.1038/s41556-018-0247-4 ↗
39. 10.1016/j.tcb.2022.03.01010.1016/j.tcb.2022.03.010 ↗
40. 10.1016/S0021-9258(18)33787-610.1016/S0021-9258(18)33787-6 ↗
41. 10.1242/dev.17525710.1242/dev.175257 ↗
42. 10.1513/AnnalsATS.201506-382MG10.1513/AnnalsATS.201506-382MG ↗
43. 10.3389/fcell.2020.0002110.3389/fcell.2020.00021 ↗
44. 10.1038/nmat435710.1038/nmat4357 ↗
45. 10.1242/jcs.18792210.1242/jcs.187922 ↗
46. 10.1038/s41467-021-24853-810.1038/s41467-021-24853-8 ↗
47. 10.1042/BJ2007150510.1042/BJ20071505 ↗
48. Y.Shen J.O'Byrne A.Schoenit A.Maitra R.‐M.Mege R.Voituriez B.Ladoux bioRxiv2024 2024.10.18.619133.
49. 10.1038/nmat484810.1038/nmat4848 ↗
50. 10.1126/science.aah615210.1126/science.aah6152 ↗
51. 10.1038/emboj.2013.14910.1038/emboj.2013.149 ↗
52. 10.3390/cancers905005210.3390/cancers9050052 ↗
53. 10.1038/nsmb.209810.1038/nsmb.2098 ↗
54. 10.1101/gad.9.5.55910.1101/gad.9.5.559 ↗
55. 10.1111/jnc.1606210.1111/jnc.16062 ↗
56. 10.1038/s41567-018-0279-510.1038/s41567-018-0279-5 ↗
57. 10.1002/1439-7641(20020315)3:3<262::AID-CPHC262>3.0.CO;2-U10.1002/1439-7641(20020315)3:3<262::AID-CPHC262>3.0.CO;2-U ↗
58. 10.1140/epje/i2012-12034-910.1140/epje/i2012-12034-9 ↗
59. 10.1038/ncomms372810.1038/ncomms3728 ↗
60. 10.1056/NEJMra180525610.1056/NEJMra1805256 ↗
61. 10.1038/s41598-018-23592-z10.1038/s41598-018-23592-z ↗
62. Gyorffy B. · Innovation · 2024 · 5
63. 10.1103/PhysRevX.6.02101110.1103/PhysRevX.6.021011 ↗
64. 10.1016/j.ceb.2023.10231010.1016/j.ceb.2023.102310 ↗
65. 10.1073/pnas.151097311210.1073/pnas.1510973112 ↗
66. 10.1016/j.biosystems.2023.10504510.1016/j.biosystems.2023.105045 ↗
67. 10.1038/nature0254310.1038/nature02543 ↗
68. 10.1165/rcmb.2004-0266OC10.1165/rcmb.2004-0266OC ↗
69. 10.1126/scitranslmed.abo525410.1126/scitranslmed.abo5254 ↗
70. 10.1073/pnas.220132811910.1073/pnas.2201328119 ↗
71. 10.1126/sciadv.adk482510.1126/sciadv.adk4825 ↗
72. 10.1038/s41467-018-06368-x10.1038/s41467-018-06368-x ↗
73. 10.1007/978-1-4939-9170-9_310.1007/978-1-4939-9170-9_3 ↗
74. 10.1038/nmeth.419710.1038/nmeth.4197 ↗
75. 10.1093/bioinformatics/bts63510.1093/bioinformatics/bts635 ↗
76. 10.1016/j.ymeth.2016.09.01610.1016/j.ymeth.2016.09.016 ↗
77. 10.1038/s41592-020-01018-x10.1038/s41592-020-01018-x ↗
78. 10.1038/nmeth.201910.1038/nmeth.2019 ↗
79. 10.1093/bioinformatics/btw41310.1093/bioinformatics/btw413 ↗
80. K.Miura Analysis of FRAP Curves http://wiki.cmci.info/dls/FRAPmanual.htm(accessed: April2010).
81. 10.7171/jbt.19-3001-00110.7171/jbt.19-3001-001 ↗
82. 10.1007/978-1-4939-2309-0_2310.1007/978-1-4939-2309-0_23 ↗
83. 10.1083/jcb.20200106410.1083/jcb.202001064 ↗