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A stochastic simulation of skeletal muscle calcium transients in a structurally realistic sarcomere model using MCell
Skeletal muscle contraction is initiated when an action potential triggers the release of Ca2+ into the sarcomere in a process referred to as excitation-contraction coupling. The speed and scale of this process makes direct observation very challenging and invasive. To determine how the concentratio...
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Published in: | PLoS computational biology 2019-03, Vol.15 (3), p.e1006712 |
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description | Skeletal muscle contraction is initiated when an action potential triggers the release of Ca2+ into the sarcomere in a process referred to as excitation-contraction coupling. The speed and scale of this process makes direct observation very challenging and invasive. To determine how the concentration of Ca2+ changes within the myofibril during a single activation, several simulation models have been developed. These models follow a common pattern; divide the half sarcomere into a series of compartments, then use ordinary differential equations to solve reactions occurring within and between the compartments. To further develop this type of simulation, we have created a realistic structural model of a skeletal muscle myofibrillar half-sarcomere using MCell software that incorporates the myofilament lattice structure. Using this simulation model, we were successful in reproducing the averaged calcium transient during a single activation consistent with both the experimental and previous simulation results. In addition, our simulation demonstrated that the inclusion of the myofilament lattice within our model produced an asymmetric distribution of Ca2+, with more Ca2+ accumulating near the Z-disk and less Ca2+ reaching the m-line. This asymmetric distribution of Ca2+ is also apparent when we examine how the Ca2+ are bound to the troponin-C proteins along the actin filaments. Our simulation model also allowed us to produce advanced visualizations of this process, including two simulation animations, allowing us to view Ca2+ release, diffusion, binding and uptake within the myofibrillar half-sarcomere. |
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The speed and scale of this process makes direct observation very challenging and invasive. To determine how the concentration of Ca2+ changes within the myofibril during a single activation, several simulation models have been developed. These models follow a common pattern; divide the half sarcomere into a series of compartments, then use ordinary differential equations to solve reactions occurring within and between the compartments. To further develop this type of simulation, we have created a realistic structural model of a skeletal muscle myofibrillar half-sarcomere using MCell software that incorporates the myofilament lattice structure. Using this simulation model, we were successful in reproducing the averaged calcium transient during a single activation consistent with both the experimental and previous simulation results. In addition, our simulation demonstrated that the inclusion of the myofilament lattice within our model produced an asymmetric distribution of Ca2+, with more Ca2+ accumulating near the Z-disk and less Ca2+ reaching the m-line. This asymmetric distribution of Ca2+ is also apparent when we examine how the Ca2+ are bound to the troponin-C proteins along the actin filaments. Our simulation model also allowed us to produce advanced visualizations of this process, including two simulation animations, allowing us to view Ca2+ release, diffusion, binding and uptake within the myofibrillar half-sarcomere.</description><identifier>ISSN: 1553-7358</identifier><identifier>ISSN: 1553-734X</identifier><identifier>EISSN: 1553-7358</identifier><identifier>DOI: 10.1371/journal.pcbi.1006712</identifier><identifier>PMID: 30845143</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Actin ; Action potential ; Activation ; Adenosine Triphosphate - metabolism ; Animals ; Biology ; Biology and Life Sciences ; Calcium ; Calcium - metabolism ; Calcium ions ; Calcium-binding protein ; Compartments ; Computer simulation ; Differential equations ; Excitation-contraction coupling ; Filaments ; Kinesiology ; Laboratories ; Medicine and Health Sciences ; Models, Biological ; Monte Carlo Method ; Monte Carlo simulation ; Motility ; Muscle contraction ; Muscle proteins ; Muscle, Skeletal - metabolism ; Muscles ; Muscular function ; Musculoskeletal system ; Myosin ; Ordinary differential equations ; Physiology ; Protein binding ; Proteins ; Realism (Literature) ; Research and Analysis Methods ; Sarcomeres ; Simulation ; Skeletal muscle ; Skewed distributions ; Stochastic models ; Stochastic Processes ; Stochasticity ; Troponin ; Troponin C - metabolism</subject><ispartof>PLoS computational biology, 2019-03, Vol.15 (3), p.e1006712</ispartof><rights>COPYRIGHT 2019 Public Library of Science</rights><rights>2019 Holash, MacIntosh. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2019 Holash, MacIntosh 2019 Holash, MacIntosh</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c699t-983254a4f44ad428da0449389ac36e652d1db10f6724992870de5abe52b8d94d3</citedby><cites>FETCH-LOGICAL-c699t-983254a4f44ad428da0449389ac36e652d1db10f6724992870de5abe52b8d94d3</cites><orcidid>0000-0002-4253-5156</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2250643052/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2250643052?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30845143$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Williams, C David</contributor><creatorcontrib>Holash, Robert John</creatorcontrib><creatorcontrib>MacIntosh, Brian R</creatorcontrib><title>A stochastic simulation of skeletal muscle calcium transients in a structurally realistic sarcomere model using MCell</title><title>PLoS computational biology</title><addtitle>PLoS Comput Biol</addtitle><description>Skeletal muscle contraction is initiated when an action potential triggers the release of Ca2+ into the sarcomere in a process referred to as excitation-contraction coupling. The speed and scale of this process makes direct observation very challenging and invasive. To determine how the concentration of Ca2+ changes within the myofibril during a single activation, several simulation models have been developed. These models follow a common pattern; divide the half sarcomere into a series of compartments, then use ordinary differential equations to solve reactions occurring within and between the compartments. To further develop this type of simulation, we have created a realistic structural model of a skeletal muscle myofibrillar half-sarcomere using MCell software that incorporates the myofilament lattice structure. Using this simulation model, we were successful in reproducing the averaged calcium transient during a single activation consistent with both the experimental and previous simulation results. In addition, our simulation demonstrated that the inclusion of the myofilament lattice within our model produced an asymmetric distribution of Ca2+, with more Ca2+ accumulating near the Z-disk and less Ca2+ reaching the m-line. This asymmetric distribution of Ca2+ is also apparent when we examine how the Ca2+ are bound to the troponin-C proteins along the actin filaments. Our simulation model also allowed us to produce advanced visualizations of this process, including two simulation animations, allowing us to view Ca2+ release, diffusion, binding and uptake within the myofibrillar half-sarcomere.</description><subject>Actin</subject><subject>Action potential</subject><subject>Activation</subject><subject>Adenosine Triphosphate - metabolism</subject><subject>Animals</subject><subject>Biology</subject><subject>Biology and Life Sciences</subject><subject>Calcium</subject><subject>Calcium - metabolism</subject><subject>Calcium ions</subject><subject>Calcium-binding protein</subject><subject>Compartments</subject><subject>Computer simulation</subject><subject>Differential equations</subject><subject>Excitation-contraction coupling</subject><subject>Filaments</subject><subject>Kinesiology</subject><subject>Laboratories</subject><subject>Medicine and Health Sciences</subject><subject>Models, Biological</subject><subject>Monte Carlo Method</subject><subject>Monte Carlo simulation</subject><subject>Motility</subject><subject>Muscle contraction</subject><subject>Muscle proteins</subject><subject>Muscle, Skeletal - metabolism</subject><subject>Muscles</subject><subject>Muscular function</subject><subject>Musculoskeletal system</subject><subject>Myosin</subject><subject>Ordinary differential equations</subject><subject>Physiology</subject><subject>Protein binding</subject><subject>Proteins</subject><subject>Realism (Literature)</subject><subject>Research and Analysis Methods</subject><subject>Sarcomeres</subject><subject>Simulation</subject><subject>Skeletal muscle</subject><subject>Skewed distributions</subject><subject>Stochastic models</subject><subject>Stochastic Processes</subject><subject>Stochasticity</subject><subject>Troponin</subject><subject>Troponin C - metabolism</subject><issn>1553-7358</issn><issn>1553-734X</issn><issn>1553-7358</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqVkl2LEzEUhgdR3HX1H4gGvNGL1nzOJDdCKX4UVgU_rsNpkummZibdZCLuvzdru8tWvJEEckie8-acl9M0TwmeE9aR19tY0ghhvjNrPycYtx2h95pTIgSbdUzI-3fik-ZRzluMa6jah80Jw5ILwtlpUxYoT9FcQJ68QdkPJcDk44hij_IPF9wEAQ0lm-CQgWB8GdCUYMzejVNGfkRQBVIxU0kQwhVKDoLfi0EycXDJoSFaF1DJftygj0sXwuPmQQ8huyeH86z5_u7tt-WH2fnn96vl4nxmWqWmmZKMCg685xwsp9IC5lwxqcCw1rWCWmLXBPdtR7lSVHbYOgFrJ-haWsUtO2ue73V3IWZ9cCxrSgVuOcOCVmK1J2yErd4lP0C60hG8_nMR00ZDqt0Ep4mgAkxnWgKSd0SuBWdcQC2hq85aV7XeHH4r68FZUx2qnhyJHr-M_kJv4k_dcsp521aBlweBFC-Ly5MefDbVLxhdLLVuIpUQdbOKvvgL_Xd38z21gdqAH_tY_zV1WTd4E0fX-3q_EJJg1Skpa8Kro4TKTO7XtIGSs159_fIf7Kdjlu9Zk2LOyfW3rhCsr8f5pnx9Pc76MM417dldR2-TbuaX_QYjnfJU</recordid><startdate>20190301</startdate><enddate>20190301</enddate><creator>Holash, Robert John</creator><creator>MacIntosh, Brian R</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>ISN</scope><scope>ISR</scope><scope>3V.</scope><scope>7QO</scope><scope>7QP</scope><scope>7TK</scope><scope>7TM</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AL</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</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>JQ2</scope><scope>K7-</scope><scope>K9.</scope><scope>LK8</scope><scope>M0N</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-4253-5156</orcidid></search><sort><creationdate>20190301</creationdate><title>A stochastic simulation of skeletal muscle calcium transients in a structurally realistic sarcomere model using MCell</title><author>Holash, Robert John ; MacIntosh, Brian R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c699t-983254a4f44ad428da0449389ac36e652d1db10f6724992870de5abe52b8d94d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Actin</topic><topic>Action potential</topic><topic>Activation</topic><topic>Adenosine Triphosphate - metabolism</topic><topic>Animals</topic><topic>Biology</topic><topic>Biology and Life Sciences</topic><topic>Calcium</topic><topic>Calcium - metabolism</topic><topic>Calcium ions</topic><topic>Calcium-binding protein</topic><topic>Compartments</topic><topic>Computer simulation</topic><topic>Differential equations</topic><topic>Excitation-contraction coupling</topic><topic>Filaments</topic><topic>Kinesiology</topic><topic>Laboratories</topic><topic>Medicine and Health Sciences</topic><topic>Models, Biological</topic><topic>Monte Carlo Method</topic><topic>Monte Carlo simulation</topic><topic>Motility</topic><topic>Muscle contraction</topic><topic>Muscle proteins</topic><topic>Muscle, Skeletal - metabolism</topic><topic>Muscles</topic><topic>Muscular function</topic><topic>Musculoskeletal system</topic><topic>Myosin</topic><topic>Ordinary differential equations</topic><topic>Physiology</topic><topic>Protein binding</topic><topic>Proteins</topic><topic>Realism (Literature)</topic><topic>Research and Analysis Methods</topic><topic>Sarcomeres</topic><topic>Simulation</topic><topic>Skeletal muscle</topic><topic>Skewed distributions</topic><topic>Stochastic models</topic><topic>Stochastic Processes</topic><topic>Stochasticity</topic><topic>Troponin</topic><topic>Troponin C - metabolism</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Holash, Robert John</creatorcontrib><creatorcontrib>MacIntosh, Brian R</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: Canada</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Biotechnology Research Abstracts</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Computing 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>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>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 Computer Science Collection</collection><collection>Computer science database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Computing Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Biological Science Journals</collection><collection>ProQuest advanced technologies & aerospace journals</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest - Publicly Available Content Database</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 Basic</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PLoS computational biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Holash, Robert John</au><au>MacIntosh, Brian R</au><au>Williams, C David</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A stochastic simulation of skeletal muscle calcium transients in a structurally realistic sarcomere model using MCell</atitle><jtitle>PLoS computational biology</jtitle><addtitle>PLoS Comput Biol</addtitle><date>2019-03-01</date><risdate>2019</risdate><volume>15</volume><issue>3</issue><spage>e1006712</spage><pages>e1006712-</pages><issn>1553-7358</issn><issn>1553-734X</issn><eissn>1553-7358</eissn><abstract>Skeletal muscle contraction is initiated when an action potential triggers the release of Ca2+ into the sarcomere in a process referred to as excitation-contraction coupling. The speed and scale of this process makes direct observation very challenging and invasive. To determine how the concentration of Ca2+ changes within the myofibril during a single activation, several simulation models have been developed. These models follow a common pattern; divide the half sarcomere into a series of compartments, then use ordinary differential equations to solve reactions occurring within and between the compartments. To further develop this type of simulation, we have created a realistic structural model of a skeletal muscle myofibrillar half-sarcomere using MCell software that incorporates the myofilament lattice structure. Using this simulation model, we were successful in reproducing the averaged calcium transient during a single activation consistent with both the experimental and previous simulation results. In addition, our simulation demonstrated that the inclusion of the myofilament lattice within our model produced an asymmetric distribution of Ca2+, with more Ca2+ accumulating near the Z-disk and less Ca2+ reaching the m-line. This asymmetric distribution of Ca2+ is also apparent when we examine how the Ca2+ are bound to the troponin-C proteins along the actin filaments. Our simulation model also allowed us to produce advanced visualizations of this process, including two simulation animations, allowing us to view Ca2+ release, diffusion, binding and uptake within the myofibrillar half-sarcomere.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>30845143</pmid><doi>10.1371/journal.pcbi.1006712</doi><orcidid>https://orcid.org/0000-0002-4253-5156</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Actin Action potential Activation Adenosine Triphosphate - metabolism Animals Biology Biology and Life Sciences Calcium Calcium - metabolism Calcium ions Calcium-binding protein Compartments Computer simulation Differential equations Excitation-contraction coupling Filaments Kinesiology Laboratories Medicine and Health Sciences Models, Biological Monte Carlo Method Monte Carlo simulation Motility Muscle contraction Muscle proteins Muscle, Skeletal - metabolism Muscles Muscular function Musculoskeletal system Myosin Ordinary differential equations Physiology Protein binding Proteins Realism (Literature) Research and Analysis Methods Sarcomeres Simulation Skeletal muscle Skewed distributions Stochastic models Stochastic Processes Stochasticity Troponin Troponin C - metabolism |
title | A stochastic simulation of skeletal muscle calcium transients in a structurally realistic sarcomere model using MCell |
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