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Geometric basis of action potential of skeletal muscle cells and neurons
Although we know something about single-cell neuromuscular junctions, it is still unclear how multiple skeletal muscle cells coordinate to complete intricate spatial curve movement. Here, we hypothesize that skeletal muscle cell populations with action potentials are aligned according to curved mani...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
De Gruyter
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9482420/ https://www.ncbi.nlm.nih.gov/pubmed/36185399 http://dx.doi.org/10.1515/biol-2022-0488 |
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author | Li, Qing |
author_facet | Li, Qing |
author_sort | Li, Qing |
collection | PubMed |
description | Although we know something about single-cell neuromuscular junctions, it is still unclear how multiple skeletal muscle cells coordinate to complete intricate spatial curve movement. Here, we hypothesize that skeletal muscle cell populations with action potentials are aligned according to curved manifolds in space (a curved shape in space). When a specific motor nerve impulse is transmitted, the skeletal muscle also moves according to the corresponding shape (manifolds). The action potential of motor nerve fibers has the characteristics of a time curve manifold, and this time-manifold curve of motor nerve fibers comes from the visual cortex in which spatial geometric manifolds are formed within the synaptic connection of neurons. This spatial geometric manifold of the synaptic connection of neurons originates from spatial geometric manifolds outside nature that are transmitted to the brain through the cone cells and ganglion cells of the retina. The essence of life is that life is an object that can move autonomously, and the essence of life’s autonomous movement is the movement of proteins. Theoretically, because of the infinite diversity of geometric manifold shapes in nature, the arrangement and combination of 20 amino acids should have infinite diversity, and the geometric manifold formed by the protein three-dimensional spatial structure should also have infinite diversity. |
format | Online Article Text |
id | pubmed-9482420 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | De Gruyter |
record_format | MEDLINE/PubMed |
spelling | pubmed-94824202022-10-01 Geometric basis of action potential of skeletal muscle cells and neurons Li, Qing Open Life Sci Review Article Although we know something about single-cell neuromuscular junctions, it is still unclear how multiple skeletal muscle cells coordinate to complete intricate spatial curve movement. Here, we hypothesize that skeletal muscle cell populations with action potentials are aligned according to curved manifolds in space (a curved shape in space). When a specific motor nerve impulse is transmitted, the skeletal muscle also moves according to the corresponding shape (manifolds). The action potential of motor nerve fibers has the characteristics of a time curve manifold, and this time-manifold curve of motor nerve fibers comes from the visual cortex in which spatial geometric manifolds are formed within the synaptic connection of neurons. This spatial geometric manifold of the synaptic connection of neurons originates from spatial geometric manifolds outside nature that are transmitted to the brain through the cone cells and ganglion cells of the retina. The essence of life is that life is an object that can move autonomously, and the essence of life’s autonomous movement is the movement of proteins. Theoretically, because of the infinite diversity of geometric manifold shapes in nature, the arrangement and combination of 20 amino acids should have infinite diversity, and the geometric manifold formed by the protein three-dimensional spatial structure should also have infinite diversity. De Gruyter 2022-09-16 /pmc/articles/PMC9482420/ /pubmed/36185399 http://dx.doi.org/10.1515/biol-2022-0488 Text en © 2022 Qing Li, published by De Gruyter https://creativecommons.org/licenses/by/4.0/This work is licensed under the Creative Commons Attribution 4.0 International License. |
spellingShingle | Review Article Li, Qing Geometric basis of action potential of skeletal muscle cells and neurons |
title | Geometric basis of action potential of skeletal muscle cells and neurons |
title_full | Geometric basis of action potential of skeletal muscle cells and neurons |
title_fullStr | Geometric basis of action potential of skeletal muscle cells and neurons |
title_full_unstemmed | Geometric basis of action potential of skeletal muscle cells and neurons |
title_short | Geometric basis of action potential of skeletal muscle cells and neurons |
title_sort | geometric basis of action potential of skeletal muscle cells and neurons |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9482420/ https://www.ncbi.nlm.nih.gov/pubmed/36185399 http://dx.doi.org/10.1515/biol-2022-0488 |
work_keys_str_mv | AT liqing geometricbasisofactionpotentialofskeletalmusclecellsandneurons |