journal article·2025-11

pH‐Driven Compartmentalization in Coacervate Protocells Enables Programmable Microreactors

Bingzhao Wu, Lianning Li, Hu Huang, Zhiyu Feng, Xinlong Zhang, Lei Zhang, Chunyu Zhao

Small· Volume 21· Issue 46
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Abstract

Abstract Bottom‐up construction of artificial cells is pivotal for investigating the functional and structural evolution of protocell systems. Here, a streamlined methodology is reported for constructing a protocell model that exhibits pH‐adaptive responsiveness and functions as an efficient microreactor for cascade biochemical reactions. These protocells are engineered through liquid–liquid phase separation (LLPS) of poly(diallyldimethylammonium chloride) (PDDA) and adenosine triphosphate (ATP), yielding coacervate microdroplets that serve as nucleation sites for spontaneous self‐assembly of phospholipid semipermeable membranes. By tuning the pH environment of the membranized protocells, the hydrolytic property of ATP under acidic conditions modulates the surface charge density of coacervates, triggering elevated surface potential and altered interfacial tension, which ultimately induce secondary phase separation inside the protocells to yield dynamically reconfigurable microcompartments. Notably, introduction of small‐molecule substrates triggers enzymatic reactions within the molecularly crowded lumen of the protocells, which in turn drives pH‐mediated micro‐compartmentalization, enabling the coupling of biocatalysis with structural dynamics. This protocell model, characterized by programmable dynamic micro‐compartmentalization, offers distinct advantages for applications in cellular mimicry, synthetic protobiology, and the development of artificial biomolecular microreactors.
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Research context

OpenAlex topics: Supramolecular Self-Assembly in Materials · Lipid Membrane Structure and Behavior · Origins and Evolution of Life

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

Affiliations

School of Chemistry and Pharmaceutical Engineering Shandong First Medical University & Shandong Academy of Medical Sciences Taian Shandong 271016 China

School of Materials Science and Engineering Xinjiang University Urumqi Xinjiang 830000 China

Funding

Natural Science Foundation of Shandong Province

References (46)

Show source-provided references
1. 10.1083/jcb.20150601910.1083/jcb.201506019 ↗
2. 10.4236/jmp.2011.22607010.4236/jmp.2011.226070 ↗
3. 10.1021/ar200281t10.1021/ar200281t ↗
4. 10.3390/life502123910.3390/life5021239 ↗
5. 10.1038/s41586-019-1165-810.1038/s41586-019-1165-8 ↗
6. 10.1038/s41422-021-00530-910.1038/s41422-021-00530-9 ↗
7. 10.1186/s12934-022-01819-z10.1186/s12934-022-01819-z ↗
8. 10.52768/neurology/101510.52768/neurology/1015 ↗
9. Y.Liu Y.‐J.Wang Y.Du W.Liu X.Huang Z.Fan J.Lu R.Yi X.‐W.Xiang X.Xia H.Gu Y.‐J.Liu B.Liu 2024 121 2317492121.10.1073/pnas.2317492121 ↗
10. 10.1016/j.ceb.2017.02.00610.1016/j.ceb.2017.02.006 ↗
11. 10.1016/j.ymben.2021.06.00210.1016/j.ymben.2021.06.002 ↗
12. 10.1021/acsnano.2c0423210.1021/acsnano.2c04232 ↗
13. 10.1002/smll.20230903110.1002/smll.202309031 ↗
14. 10.1038/s41467-023-41946-810.1038/s41467-023-41946-8 ↗
15. 10.1016/j.bioactmat.2022.12.02710.1016/j.bioactmat.2022.12.027 ↗
16. 10.1021/jacs.9b1184710.1021/jacs.9b11847 ↗
17. 10.1002/adfm.20210078210.1002/adfm.202100782 ↗
18. 10.1038/s41557-021-00728-910.1038/s41557-021-00728-9 ↗
19. 10.1038/s41467-025-57069-110.1038/s41467-025-57069-1 ↗
20. 10.1021/jacs.7b1084610.1021/jacs.7b10846 ↗
21. 10.1021/jacs.3c0254010.1021/jacs.3c02540 ↗
22. 10.1038/s41586-022-05223-w10.1038/s41586-022-05223-w ↗
23. 10.1021/jacs.0c1249410.1021/jacs.0c12494 ↗
24. 10.1038/s41563-018-0183-510.1038/s41563-018-0183-5 ↗
25. Zhang Y. · Sci. China Chem. · 2023 · 66 · 845
26. 10.1038/s41557-020-00585-y10.1038/s41557-020-00585-y ↗
27. 10.1016/j.chempr.2020.09.02210.1016/j.chempr.2020.09.022 ↗
28. 10.1039/C7SM01897E10.1039/C7SM01897E ↗
29. 10.1002/advs.20240071210.1002/advs.202400712 ↗
30. 10.1002/smll.20220643710.1002/smll.202206437 ↗
31. 10.1186/s12918-019-0703-110.1186/s12918-019-0703-1 ↗
32. 10.1002/anie.20191489310.1002/anie.201914893 ↗
33. 10.1021/acsami.3c0919610.1021/acsami.3c09196 ↗
34. 10.1021/acsnano.9b1016710.1021/acsnano.9b10167 ↗
35. 10.1039/C7PY01242J10.1039/C7PY01242J ↗
36. 10.1021/jp200534310.1021/jp2005343 ↗
37. 10.1021/acssynbio.3c0024910.1021/acssynbio.3c00249 ↗
38. 10.1021/jacs.3c0667510.1021/jacs.3c06675 ↗
39. 10.1016/0022-1902(74)80138-710.1016/0022-1902(74)80138-7 ↗
40. 10.1002/syst.20200004410.1002/syst.202000044 ↗
41. 10.1016/j.jde.2024.11.03410.1016/j.jde.2024.11.034 ↗
42. H.Wu Approximate Analytical Solutions of Poisson‐Boltzmann Equation and Their Applications in the Colloidal Electrostatic Stability Master's thesis Central South Univ.2013.
43. 10.1007/s10118-024-3145-110.1007/s10118-024-3145-1 ↗
44. 10.1017/S095679251700034110.1017/S0956792517000341 ↗
45. 10.1002/jcc.2288510.1002/jcc.22885 ↗
46. 10.1063/5.021627210.1063/5.0216272 ↗