Flow solitons of supermolecular complex DEAE-dextran-MMA copolymer/small noncoding RNAs for epigenetic change from cancer to normal cells in TME

DDMC (DEAE-dextran-MMA copolymer)/sncRNAs (a-miR-155, piR-30074, and miR-125b) complex completely cured mice with virus-induced sarcoma after cellular reprogramming treatment, transforming cancer cells into normal cells. Comparing the kinetics of the control with tumor growth inhibition (mm<sup>2</sup>) - which involves one intravenous injection or two - shows the same curvature and speed, so it is a soliton wave with a permanent shape and speed, and in the case of two intravenous injections, a faster soliton overcomes another without any change in shape. The signal transduction for this drug delivery system (DDS) should be the Hill Sigmoid type following the nonlinear Schrodinger energy transfer model, the sine-Gordon soliton model for pulse and the Fisher-Kolmogorov soliton model for mass transfer. We found that the cellular output/entry response of DDMCs/sncRNAs is more dependent on the soliton signal not losing energy and shape without blocking communication. The soliton-induced endoplasmic reticulum-mitochondria Ca<sup>2+</sup> fluxes in chromosomes in the nucleus create epigenetic modifications on the 5-position of cytosine (5mC) by Tet enzymes and thymine DNA glycosylase (TDG) as a global intracellular reaction. Quantum mechanical equations show that soliton flux can provide epigenetic control of Ca<sup>2+</sup> fluxes using the "induced fit model" Hill equation.

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Publication Details

Journal
The Analyst
Published
2025-10-28
DOI
https://doi.org/10.1039/d5an00375j
Primary Topic
RNA Research and Splicing
Type
article
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article

Flow solitons of supermolecular complex DEAE-dextran-MMA copolymer/small noncoding RNAs for epigenetic change from cancer to normal cells in TME

Oxana V. Klimenko, Masayasu Onishi, Yasuhiko Ōnishi, Rui‐Cheng Ji et al.
The Analyst
RNA Research and Splicing
article

Flow solitons of supermolecular complex DEAE-dextran-MMA copolymer/small noncoding RNAs for epigenetic change from cancer to normal cells in TME

Oxana V. Klimenko, Masayasu Onishi, Yasuhiko Ōnishi, Rui‐Cheng Ji, Yuki Eshita, N. Kubota, Masaaki Mizuno
article en

Abstract

DDMC (DEAE-dextran-MMA copolymer)/sncRNAs (a-miR-155, piR-30074, and miR-125b) complex completely cured mice with virus-induced sarcoma after cellular reprogramming treatment, transforming cancer cells into normal cells. Comparing the kinetics of the control with tumor growth inhibition (mm<sup>2</sup>) - which involves one intravenous injection or two - shows the same curvature and speed, so it is a soliton wave with a permanent shape and speed, and in the case of two intravenous injections, a faster soliton overcomes another without any change in shape. The signal transduction for this drug delivery system (DDS) should be the Hill Sigmoid type following the nonlinear Schrodinger energy transfer model, the sine-Gordon soliton model for pulse and the Fisher-Kolmogorov soliton model for mass transfer. We found that the cellular output/entry response of DDMCs/sncRNAs is more dependent on the soliton signal not losing energy and shape without blocking communication. The soliton-induced endoplasmic reticulum-mitochondria Ca<sup>2+</sup> fluxes in chromosomes in the nucleus create epigenetic modifications on the 5-position of cytosine (5mC) by Tet enzymes and thymine DNA glycosylase (TDG) as a global intracellular reaction. Quantum mechanical equations show that soliton flux can provide epigenetic control of Ca<sup>2+</sup> fluxes using the "induced fit model" Hill equation.

The AnalystVol. 151(5)
Oita University (JP), Hokkaido University (JP), Nagoya University Hospital (JP), St. Mary's College (JP), Oita University of Nursing and Health Sciences (JP)
Openalex Percentile: Top 72%
RNA Research and Splicing
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Flow solitons of supermolecular complex DEAE-dextran-MMA copolymer/small noncoding RNAs for epigenetic change from cancer to normal cells in TME — Oxana V. Klimenko, Masayasu Onishi, et al. · The Analyst (2025) | TGRS Research Map | TGRS