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Bioelectric memory: modeling resting potential bistability in amphibian embryos and mammalian cells
Bioelectric gradients among all cells, not just within excitable nerve and muscle, play instructive roles in developmental and regenerative pattern formation. Plasma membrane resting potential gradients regulate cell behaviors by regulating downstream transcriptional and epigenetic events. Unlike ne...
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Published in: | Theoretical biology and medical modelling 2015-10, Vol.12 (1), p.22-22, Article 22 |
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description | Bioelectric gradients among all cells, not just within excitable nerve and muscle, play instructive roles in developmental and regenerative pattern formation. Plasma membrane resting potential gradients regulate cell behaviors by regulating downstream transcriptional and epigenetic events. Unlike neurons, which fire rapidly and typically return to the same polarized state, developmental bioelectric signaling involves many cell types stably maintaining various levels of resting potential during morphogenetic events. It is important to begin to quantitatively model the stability of bioelectric states in cells, to understand computation and pattern maintenance during regeneration and remodeling.
To facilitate the analysis of endogenous bioelectric signaling and the exploitation of voltage-based cellular controls in synthetic bioengineering applications, we sought to understand the conditions under which somatic cells can stably maintain distinct resting potential values (a type of state memory). Using the Channelpedia ion channel database, we generated an array of amphibian oocyte and mammalian membrane models for voltage evolution. These models were analyzed and searched, by simulation, for a simple dynamical property, multistability, which forms a type of voltage memory.
We find that typical mammalian models and amphibian oocyte models exhibit bistability when expressing different ion channel subsets, with either persistent sodium or inward-rectifying potassium, respectively, playing a facilitative role in bistable memory formation. We illustrate this difference using fast sodium channel dynamics for which a comprehensive theory exists, where the same model exhibits bistability under mammalian conditions but not amphibian conditions. In amphibians, potassium channels from the Kv1.x and Kv2.x families tend to disrupt this bistable memory formation. We also identify some common principles under which physiological memory emerges, which suggest specific strategies for implementing memories in bioengineering contexts.
Our results reveal conditions under which cells can stably maintain one of several resting voltage potential values. These models suggest testable predictions for experiments in developmental bioelectricity, and illustrate how cells can be used as versatile physiological memory elements in synthetic biology, and unconventional computation contexts. |
doi_str_mv | 10.1186/s12976-015-0019-9 |
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To facilitate the analysis of endogenous bioelectric signaling and the exploitation of voltage-based cellular controls in synthetic bioengineering applications, we sought to understand the conditions under which somatic cells can stably maintain distinct resting potential values (a type of state memory). Using the Channelpedia ion channel database, we generated an array of amphibian oocyte and mammalian membrane models for voltage evolution. These models were analyzed and searched, by simulation, for a simple dynamical property, multistability, which forms a type of voltage memory.
We find that typical mammalian models and amphibian oocyte models exhibit bistability when expressing different ion channel subsets, with either persistent sodium or inward-rectifying potassium, respectively, playing a facilitative role in bistable memory formation. We illustrate this difference using fast sodium channel dynamics for which a comprehensive theory exists, where the same model exhibits bistability under mammalian conditions but not amphibian conditions. In amphibians, potassium channels from the Kv1.x and Kv2.x families tend to disrupt this bistable memory formation. We also identify some common principles under which physiological memory emerges, which suggest specific strategies for implementing memories in bioengineering contexts.
Our results reveal conditions under which cells can stably maintain one of several resting voltage potential values. These models suggest testable predictions for experiments in developmental bioelectricity, and illustrate how cells can be used as versatile physiological memory elements in synthetic biology, and unconventional computation contexts.</description><identifier>ISSN: 1742-4682</identifier><identifier>EISSN: 1742-4682</identifier><identifier>DOI: 10.1186/s12976-015-0019-9</identifier><identifier>PMID: 26472354</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Amphibians ; Amphibians - embryology ; Analysis ; Animals ; Cell Line ; Cells ; Computer Simulation ; Electric Conductivity ; Embryo, Nonmammalian - cytology ; Embryo, Nonmammalian - physiology ; Embryonic development ; Epigenetic inheritance ; Mammals ; Membrane Potentials - physiology ; Models, Biological ; Physiological aspects ; Potassium channels ; Sodium Channels - metabolism ; Xenopus</subject><ispartof>Theoretical biology and medical modelling, 2015-10, Vol.12 (1), p.22-22, Article 22</ispartof><rights>COPYRIGHT 2015 BioMed Central Ltd.</rights><rights>Copyright BioMed Central 2015</rights><rights>Law and Levin. 2015</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c528t-3ef43657902fb9733b8025d08b03c04ba109a9a88a6cbf77827f6f1cff0892cb3</citedby><cites>FETCH-LOGICAL-c528t-3ef43657902fb9733b8025d08b03c04ba109a9a88a6cbf77827f6f1cff0892cb3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4608135/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1779790727?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,725,778,782,883,25736,27907,27908,36995,36996,44573,53774,53776</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26472354$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Law, Robert</creatorcontrib><creatorcontrib>Levin, Michael</creatorcontrib><title>Bioelectric memory: modeling resting potential bistability in amphibian embryos and mammalian cells</title><title>Theoretical biology and medical modelling</title><addtitle>Theor Biol Med Model</addtitle><description>Bioelectric gradients among all cells, not just within excitable nerve and muscle, play instructive roles in developmental and regenerative pattern formation. Plasma membrane resting potential gradients regulate cell behaviors by regulating downstream transcriptional and epigenetic events. Unlike neurons, which fire rapidly and typically return to the same polarized state, developmental bioelectric signaling involves many cell types stably maintaining various levels of resting potential during morphogenetic events. It is important to begin to quantitatively model the stability of bioelectric states in cells, to understand computation and pattern maintenance during regeneration and remodeling.
To facilitate the analysis of endogenous bioelectric signaling and the exploitation of voltage-based cellular controls in synthetic bioengineering applications, we sought to understand the conditions under which somatic cells can stably maintain distinct resting potential values (a type of state memory). Using the Channelpedia ion channel database, we generated an array of amphibian oocyte and mammalian membrane models for voltage evolution. These models were analyzed and searched, by simulation, for a simple dynamical property, multistability, which forms a type of voltage memory.
We find that typical mammalian models and amphibian oocyte models exhibit bistability when expressing different ion channel subsets, with either persistent sodium or inward-rectifying potassium, respectively, playing a facilitative role in bistable memory formation. We illustrate this difference using fast sodium channel dynamics for which a comprehensive theory exists, where the same model exhibits bistability under mammalian conditions but not amphibian conditions. In amphibians, potassium channels from the Kv1.x and Kv2.x families tend to disrupt this bistable memory formation. We also identify some common principles under which physiological memory emerges, which suggest specific strategies for implementing memories in bioengineering contexts.
Our results reveal conditions under which cells can stably maintain one of several resting voltage potential values. These models suggest testable predictions for experiments in developmental bioelectricity, and illustrate how cells can be used as versatile physiological memory elements in synthetic biology, and unconventional computation contexts.</description><subject>Amphibians</subject><subject>Amphibians - embryology</subject><subject>Analysis</subject><subject>Animals</subject><subject>Cell Line</subject><subject>Cells</subject><subject>Computer Simulation</subject><subject>Electric Conductivity</subject><subject>Embryo, Nonmammalian - cytology</subject><subject>Embryo, Nonmammalian - physiology</subject><subject>Embryonic development</subject><subject>Epigenetic inheritance</subject><subject>Mammals</subject><subject>Membrane Potentials - physiology</subject><subject>Models, Biological</subject><subject>Physiological aspects</subject><subject>Potassium channels</subject><subject>Sodium Channels - metabolism</subject><subject>Xenopus</subject><issn>1742-4682</issn><issn>1742-4682</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNptkltvFSEUhYnR2Fr9Ab6YSXzRh6nAwAA-NKmNlyZNTLw8E2DglIbLEWaM59_L5NTaYwwPkM23FuydBcBzBE8R4uObirBgYw8R7SFEohcPwDFiBPdk5PjhvfMReFLrDYQNF-IxOMIjYXig5BiYdz7bYM1cvOmijbns3nYxTzb4tOmKrfO6b_Ns0-xV6LSvs9I--HnX-dSpuL322qvU2ajLLtdOpamLKkYV1qqxIdSn4JFTodpnt_sJ-P7h_beLT_3V54-XF-dXvaGYz_1gHRlGygTETgs2DJpDTCfINRwMJFohKJRQnKvRaMcYx8yNDhnnIBfY6OEEnO19t4uOdjLty0UFuS0-qrKTWXl5eJP8tdzkn5KMkKOBNoNXtwYl_1ha7zL6uragks1LlYhhLDAhGDX05T_oTV5Kau01irUxQ4bZX2qjgpU-udzeNaupPKcEUUwZJY06_Q_V1mSjNzlZ51v9QPD6QNCY2f6aN2qpVV5-_XLIoj1rSq61WHc3DwTlmiK5T5FsKZJriqRomhf3B3mn-BOb4TeFjsIP</recordid><startdate>20151015</startdate><enddate>20151015</enddate><creator>Law, Robert</creator><creator>Levin, Michael</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>M7S</scope><scope>M7Z</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20151015</creationdate><title>Bioelectric memory: modeling resting potential bistability in amphibian embryos and mammalian cells</title><author>Law, Robert ; Levin, Michael</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c528t-3ef43657902fb9733b8025d08b03c04ba109a9a88a6cbf77827f6f1cff0892cb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Amphibians</topic><topic>Amphibians - embryology</topic><topic>Analysis</topic><topic>Animals</topic><topic>Cell Line</topic><topic>Cells</topic><topic>Computer Simulation</topic><topic>Electric Conductivity</topic><topic>Embryo, Nonmammalian - cytology</topic><topic>Embryo, Nonmammalian - physiology</topic><topic>Embryonic development</topic><topic>Epigenetic inheritance</topic><topic>Mammals</topic><topic>Membrane Potentials - physiology</topic><topic>Models, Biological</topic><topic>Physiological aspects</topic><topic>Potassium channels</topic><topic>Sodium Channels - metabolism</topic><topic>Xenopus</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Law, Robert</creatorcontrib><creatorcontrib>Levin, Michael</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>ProQuest Biological Science Journals</collection><collection>Engineering Database</collection><collection>Biochemistry Abstracts 1</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Publicly Available Content (ProQuest)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering collection</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Theoretical biology and medical modelling</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Law, Robert</au><au>Levin, Michael</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Bioelectric memory: modeling resting potential bistability in amphibian embryos and mammalian cells</atitle><jtitle>Theoretical biology and medical modelling</jtitle><addtitle>Theor Biol Med Model</addtitle><date>2015-10-15</date><risdate>2015</risdate><volume>12</volume><issue>1</issue><spage>22</spage><epage>22</epage><pages>22-22</pages><artnum>22</artnum><issn>1742-4682</issn><eissn>1742-4682</eissn><abstract>Bioelectric gradients among all cells, not just within excitable nerve and muscle, play instructive roles in developmental and regenerative pattern formation. Plasma membrane resting potential gradients regulate cell behaviors by regulating downstream transcriptional and epigenetic events. Unlike neurons, which fire rapidly and typically return to the same polarized state, developmental bioelectric signaling involves many cell types stably maintaining various levels of resting potential during morphogenetic events. It is important to begin to quantitatively model the stability of bioelectric states in cells, to understand computation and pattern maintenance during regeneration and remodeling.
To facilitate the analysis of endogenous bioelectric signaling and the exploitation of voltage-based cellular controls in synthetic bioengineering applications, we sought to understand the conditions under which somatic cells can stably maintain distinct resting potential values (a type of state memory). Using the Channelpedia ion channel database, we generated an array of amphibian oocyte and mammalian membrane models for voltage evolution. These models were analyzed and searched, by simulation, for a simple dynamical property, multistability, which forms a type of voltage memory.
We find that typical mammalian models and amphibian oocyte models exhibit bistability when expressing different ion channel subsets, with either persistent sodium or inward-rectifying potassium, respectively, playing a facilitative role in bistable memory formation. We illustrate this difference using fast sodium channel dynamics for which a comprehensive theory exists, where the same model exhibits bistability under mammalian conditions but not amphibian conditions. In amphibians, potassium channels from the Kv1.x and Kv2.x families tend to disrupt this bistable memory formation. We also identify some common principles under which physiological memory emerges, which suggest specific strategies for implementing memories in bioengineering contexts.
Our results reveal conditions under which cells can stably maintain one of several resting voltage potential values. These models suggest testable predictions for experiments in developmental bioelectricity, and illustrate how cells can be used as versatile physiological memory elements in synthetic biology, and unconventional computation contexts.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>26472354</pmid><doi>10.1186/s12976-015-0019-9</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Amphibians Amphibians - embryology Analysis Animals Cell Line Cells Computer Simulation Electric Conductivity Embryo, Nonmammalian - cytology Embryo, Nonmammalian - physiology Embryonic development Epigenetic inheritance Mammals Membrane Potentials - physiology Models, Biological Physiological aspects Potassium channels Sodium Channels - metabolism Xenopus |
title | Bioelectric memory: modeling resting potential bistability in amphibian embryos and mammalian cells |
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