Modeling of morphologically realistic large-scale multicellular electroporation for population-level analysis Article Swipe
Lujia Ding
,
Mike Moser
,
Wenjun Zhang
,
Ningning Hu
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1016/j.rineng.2025.107010
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1016/j.rineng.2025.107010
This study explores the dynamics of multicellular electroporation within a monolayer cluster of HCMEC/D3 cells subjected to pulsed electric fields. By proposing an automated approach capable of reconstructing realistic multicellular morphology, we accurately simulate the temporal-spatial distribution of electroporation characteristics, including pore density, pore radius, pore area ratio (PAR), and transmembrane potential (TMP) across the cell and nuclear membranes in large-scale multicellular structures comprising up to ∼400 cells. Our results reveal significant heterogeneity in the electroporation response among cells, primarily driven by variations in cell morphology and orientation relative to the applied electric field. High pore density and PAR are predominantly localized in the polar regions of cells align with the field direction, while regions perpendicular to the electric field exhibit minimal electroporation. Importantly, the results suggests that cell death induced by electroporation is not necessarily contingent on the entire cell membrane permeabilization; rather, it is closely related to the fraction of the membrane affected and the duration of the electroporated state. The findings from this study provide valuable insights into the biophysical mechanisms of electroporation, offering potential pathways for enhancing the precision and effectiveness of electroporation-based therapies. Furthermore, the proposed methodology for reconstructing large-scale 2D multicellular systems lays the groundwork for future extension to realistic 3D tissue models.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.rineng.2025.107010
- OA Status
- gold
- References
- 30
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- OpenAlex ID
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https://openalex.org/W4413841218Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.rineng.2025.107010Digital Object Identifier
- Title
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Modeling of morphologically realistic large-scale multicellular electroporation for population-level analysisWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-08-30Full publication date if available
- Authors
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Lujia Ding, Mike Moser, Wenjun Zhang, Ningning HuList of authors in order
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https://doi.org/10.1016/j.rineng.2025.107010Publisher landing page
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://doi.org/10.1016/j.rineng.2025.107010Direct OA link when available
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Electroporation, Multicellular organism, Scale (ratio), Population, Scale analysis (mathematics), Biology, Computer science, Evolutionary biology, Biological system, Geography, Cartography, Genetics, Cell, Medicine, Gene, Meteorology, Environmental healthTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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30Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.field. | 93 |
| abstract_inverted_index.future | 202 |
| abstract_inverted_index.pulsed | 17 |
| abstract_inverted_index.reveal | 70 |
| abstract_inverted_index.state. | 161 |
| abstract_inverted_index.tissue | 207 |
| abstract_inverted_index.within | 8 |
| abstract_inverted_index.∼400 | 66 |
| abstract_inverted_index.applied | 91 |
| abstract_inverted_index.capable | 25 |
| abstract_inverted_index.closely | 146 |
| abstract_inverted_index.cluster | 11 |
| abstract_inverted_index.density | 96 |
| abstract_inverted_index.exhibit | 120 |
| abstract_inverted_index.fields. | 19 |
| abstract_inverted_index.induced | 130 |
| abstract_inverted_index.minimal | 121 |
| abstract_inverted_index.models. | 208 |
| abstract_inverted_index.nuclear | 57 |
| abstract_inverted_index.provide | 167 |
| abstract_inverted_index.radius, | 44 |
| abstract_inverted_index.rather, | 143 |
| abstract_inverted_index.regions | 105, 114 |
| abstract_inverted_index.related | 147 |
| abstract_inverted_index.results | 69, 125 |
| abstract_inverted_index.systems | 197 |
| abstract_inverted_index.HCMEC/D3 | 13 |
| abstract_inverted_index.affected | 154 |
| abstract_inverted_index.approach | 24 |
| abstract_inverted_index.density, | 42 |
| abstract_inverted_index.duration | 157 |
| abstract_inverted_index.dynamics | 4 |
| abstract_inverted_index.electric | 18, 92, 118 |
| abstract_inverted_index.explores | 2 |
| abstract_inverted_index.findings | 163 |
| abstract_inverted_index.fraction | 150 |
| abstract_inverted_index.insights | 169 |
| abstract_inverted_index.membrane | 141, 153 |
| abstract_inverted_index.offering | 176 |
| abstract_inverted_index.pathways | 178 |
| abstract_inverted_index.proposed | 190 |
| abstract_inverted_index.relative | 88 |
| abstract_inverted_index.response | 76 |
| abstract_inverted_index.simulate | 33 |
| abstract_inverted_index.suggests | 126 |
| abstract_inverted_index.valuable | 168 |
| abstract_inverted_index.automated | 23 |
| abstract_inverted_index.enhancing | 180 |
| abstract_inverted_index.extension | 203 |
| abstract_inverted_index.including | 40 |
| abstract_inverted_index.localized | 101 |
| abstract_inverted_index.membranes | 58 |
| abstract_inverted_index.monolayer | 10 |
| abstract_inverted_index.potential | 51, 177 |
| abstract_inverted_index.precision | 182 |
| abstract_inverted_index.primarily | 79 |
| abstract_inverted_index.proposing | 21 |
| abstract_inverted_index.realistic | 28, 205 |
| abstract_inverted_index.subjected | 15 |
| abstract_inverted_index.accurately | 32 |
| abstract_inverted_index.comprising | 63 |
| abstract_inverted_index.contingent | 136 |
| abstract_inverted_index.direction, | 112 |
| abstract_inverted_index.groundwork | 200 |
| abstract_inverted_index.mechanisms | 173 |
| abstract_inverted_index.morphology | 85 |
| abstract_inverted_index.structures | 62 |
| abstract_inverted_index.therapies. | 187 |
| abstract_inverted_index.variations | 82 |
| abstract_inverted_index.biophysical | 172 |
| abstract_inverted_index.large-scale | 60, 194 |
| abstract_inverted_index.methodology | 191 |
| abstract_inverted_index.morphology, | 30 |
| abstract_inverted_index.necessarily | 135 |
| abstract_inverted_index.orientation | 87 |
| abstract_inverted_index.significant | 71 |
| abstract_inverted_index.Furthermore, | 188 |
| abstract_inverted_index.Importantly, | 123 |
| abstract_inverted_index.distribution | 36 |
| abstract_inverted_index.effectiveness | 184 |
| abstract_inverted_index.heterogeneity | 72 |
| abstract_inverted_index.multicellular | 6, 29, 61, 196 |
| abstract_inverted_index.perpendicular | 115 |
| abstract_inverted_index.predominantly | 100 |
| abstract_inverted_index.transmembrane | 50 |
| abstract_inverted_index.electroporated | 160 |
| abstract_inverted_index.reconstructing | 27, 193 |
| abstract_inverted_index.electroporation | 7, 38, 75, 132 |
| abstract_inverted_index.characteristics, | 39 |
| abstract_inverted_index.electroporation, | 175 |
| abstract_inverted_index.electroporation. | 122 |
| abstract_inverted_index.temporal-spatial | 35 |
| abstract_inverted_index.permeabilization; | 142 |
| abstract_inverted_index.electroporation-based | 186 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 4 |
| citation_normalized_percentile.value | 0.41012658 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |