Integrating mitosis, toxicity, and transgene expression in a telecommunications packet-switched network model of lipoplex-mediated gene delivery
ABSTRACT Gene delivery systems transport exogenous genetic information to cells or biological systems with the potential to directly alter endogenous gene expression and behavior with applications in functional genomics, tissue engineering, medical devices, and gene therapy. Nonviral systems offer a...
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Veröffentlicht in: | Biotechnology and bioengineering 2014-08, Vol.111 (8), p.1659-1671 |
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creator | Martin, Timothy M. Wysocki, Beata J. Beyersdorf, Jared P. Wysocki, Tadeusz A. Pannier, Angela K. |
description | ABSTRACT
Gene delivery systems transport exogenous genetic information to cells or biological systems with the potential to directly alter endogenous gene expression and behavior with applications in functional genomics, tissue engineering, medical devices, and gene therapy. Nonviral systems offer advantages over viral systems because of their low immunogenicity, inexpensive synthesis, and easy modification but suffer from lower transfection levels. The representation of gene transfer using models offers perspective and interpretation of complex cellular mechanisms, including nonviral gene delivery where exact mechanisms are unknown. Here, we introduce a novel telecommunications model of the nonviral gene delivery process in which the delivery of the gene to a cell is synonymous with delivery of a packet of information to a destination computer within a packet‐switched computer network. Such a model uses nodes and layers to simplify the complexity of modeling the transfection process and to overcome several challenges of existing models. These challenges include a limited scope and limited time frame, which often does not incorporate biological effects known to affect transfection. The telecommunication model was constructed in MATLAB to model lipoplex delivery of the gene encoding the green fluorescent protein to HeLa cells. Mitosis and toxicity events were included in the model resulting in simulation outputs of nuclear internalization and transfection efficiency that correlated with experimental data. A priori predictions based on model sensitivity analysis suggest that increasing endosomal escape and decreasing lysosomal degradation, protein degradation, and GFP‐induced toxicity can improve transfection efficiency by three‐fold. Application of the telecommunications model to nonviral gene delivery offers insight into the development of new gene delivery systems with therapeutically relevant transfection levels. Biotechnol. Bioeng. 2014;111: 1659–1671. © 2014 Wiley Periodicals, Inc.
Nonviral gene delivery was ed as a layered, telecommunications packet‐switched network and then implemented in MATLAB using queuing theory. The model accurately predicts delivery and expression of pEGFPLuc in HeLa cells using Lipofectamine 2000 DNA carrier, and demonstrates that lipoplex pharmacokinetics, mitosis, and cellular toxicity act together to affect transfection efficiency. |
doi_str_mv | 10.1002/bit.25207 |
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Gene delivery systems transport exogenous genetic information to cells or biological systems with the potential to directly alter endogenous gene expression and behavior with applications in functional genomics, tissue engineering, medical devices, and gene therapy. Nonviral systems offer advantages over viral systems because of their low immunogenicity, inexpensive synthesis, and easy modification but suffer from lower transfection levels. The representation of gene transfer using models offers perspective and interpretation of complex cellular mechanisms, including nonviral gene delivery where exact mechanisms are unknown. Here, we introduce a novel telecommunications model of the nonviral gene delivery process in which the delivery of the gene to a cell is synonymous with delivery of a packet of information to a destination computer within a packet‐switched computer network. Such a model uses nodes and layers to simplify the complexity of modeling the transfection process and to overcome several challenges of existing models. These challenges include a limited scope and limited time frame, which often does not incorporate biological effects known to affect transfection. The telecommunication model was constructed in MATLAB to model lipoplex delivery of the gene encoding the green fluorescent protein to HeLa cells. Mitosis and toxicity events were included in the model resulting in simulation outputs of nuclear internalization and transfection efficiency that correlated with experimental data. A priori predictions based on model sensitivity analysis suggest that increasing endosomal escape and decreasing lysosomal degradation, protein degradation, and GFP‐induced toxicity can improve transfection efficiency by three‐fold. Application of the telecommunications model to nonviral gene delivery offers insight into the development of new gene delivery systems with therapeutically relevant transfection levels. Biotechnol. Bioeng. 2014;111: 1659–1671. © 2014 Wiley Periodicals, Inc.
Nonviral gene delivery was ed as a layered, telecommunications packet‐switched network and then implemented in MATLAB using queuing theory. The model accurately predicts delivery and expression of pEGFPLuc in HeLa cells using Lipofectamine 2000 DNA carrier, and demonstrates that lipoplex pharmacokinetics, mitosis, and cellular toxicity act together to affect transfection efficiency.</description><identifier>ISSN: 0006-3592</identifier><identifier>EISSN: 1097-0290</identifier><identifier>DOI: 10.1002/bit.25207</identifier><identifier>PMID: 25097912</identifier><identifier>CODEN: BIBIAU</identifier><language>eng</language><publisher>United States: Blackwell Publishing Ltd</publisher><subject>Algorithms ; Cell division ; Cell Survival ; Computer Simulation ; Correlation analysis ; DNA - administration & dosage ; DNA - genetics ; Drug Carriers - chemistry ; Drug Carriers - metabolism ; Gene Expression ; Green Fluorescent Proteins - genetics ; HeLa ; HeLa Cells ; Humans ; Kinetics ; Lipids - chemistry ; Liposomes - chemistry ; Liposomes - metabolism ; Mitosis ; Models, Genetic ; nonviral gene delivery ; nuclear plasmids ; packet-switched network ; Simulation ; telecommunication modeling ; Telecommunications ; Toxicity ; Transfection ; Transgenes</subject><ispartof>Biotechnology and bioengineering, 2014-08, Vol.111 (8), p.1659-1671</ispartof><rights>2014 Wiley Periodicals, Inc.</rights><rights>Copyright John Wiley and Sons, Limited Aug 2014</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4657-7489b1fa042ea53965e23ed2da06a14188bffa7e0d6a90bdff7afa28d1283a803</citedby><cites>FETCH-LOGICAL-c4657-7489b1fa042ea53965e23ed2da06a14188bffa7e0d6a90bdff7afa28d1283a803</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fbit.25207$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fbit.25207$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1416,27923,27924,45573,45574</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25097912$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Martin, Timothy M.</creatorcontrib><creatorcontrib>Wysocki, Beata J.</creatorcontrib><creatorcontrib>Beyersdorf, Jared P.</creatorcontrib><creatorcontrib>Wysocki, Tadeusz A.</creatorcontrib><creatorcontrib>Pannier, Angela K.</creatorcontrib><title>Integrating mitosis, toxicity, and transgene expression in a telecommunications packet-switched network model of lipoplex-mediated gene delivery</title><title>Biotechnology and bioengineering</title><addtitle>Biotechnol. Bioeng</addtitle><description>ABSTRACT
Gene delivery systems transport exogenous genetic information to cells or biological systems with the potential to directly alter endogenous gene expression and behavior with applications in functional genomics, tissue engineering, medical devices, and gene therapy. Nonviral systems offer advantages over viral systems because of their low immunogenicity, inexpensive synthesis, and easy modification but suffer from lower transfection levels. The representation of gene transfer using models offers perspective and interpretation of complex cellular mechanisms, including nonviral gene delivery where exact mechanisms are unknown. Here, we introduce a novel telecommunications model of the nonviral gene delivery process in which the delivery of the gene to a cell is synonymous with delivery of a packet of information to a destination computer within a packet‐switched computer network. Such a model uses nodes and layers to simplify the complexity of modeling the transfection process and to overcome several challenges of existing models. These challenges include a limited scope and limited time frame, which often does not incorporate biological effects known to affect transfection. The telecommunication model was constructed in MATLAB to model lipoplex delivery of the gene encoding the green fluorescent protein to HeLa cells. Mitosis and toxicity events were included in the model resulting in simulation outputs of nuclear internalization and transfection efficiency that correlated with experimental data. A priori predictions based on model sensitivity analysis suggest that increasing endosomal escape and decreasing lysosomal degradation, protein degradation, and GFP‐induced toxicity can improve transfection efficiency by three‐fold. Application of the telecommunications model to nonviral gene delivery offers insight into the development of new gene delivery systems with therapeutically relevant transfection levels. Biotechnol. Bioeng. 2014;111: 1659–1671. © 2014 Wiley Periodicals, Inc.
Nonviral gene delivery was ed as a layered, telecommunications packet‐switched network and then implemented in MATLAB using queuing theory. The model accurately predicts delivery and expression of pEGFPLuc in HeLa cells using Lipofectamine 2000 DNA carrier, and demonstrates that lipoplex pharmacokinetics, mitosis, and cellular toxicity act together to affect transfection efficiency.</description><subject>Algorithms</subject><subject>Cell division</subject><subject>Cell Survival</subject><subject>Computer Simulation</subject><subject>Correlation analysis</subject><subject>DNA - administration & dosage</subject><subject>DNA - genetics</subject><subject>Drug Carriers - chemistry</subject><subject>Drug Carriers - metabolism</subject><subject>Gene Expression</subject><subject>Green Fluorescent Proteins - genetics</subject><subject>HeLa</subject><subject>HeLa Cells</subject><subject>Humans</subject><subject>Kinetics</subject><subject>Lipids - chemistry</subject><subject>Liposomes - chemistry</subject><subject>Liposomes - metabolism</subject><subject>Mitosis</subject><subject>Models, Genetic</subject><subject>nonviral gene delivery</subject><subject>nuclear plasmids</subject><subject>packet-switched network</subject><subject>Simulation</subject><subject>telecommunication modeling</subject><subject>Telecommunications</subject><subject>Toxicity</subject><subject>Transfection</subject><subject>Transgenes</subject><issn>0006-3592</issn><issn>1097-0290</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kNFuFCEUhonR2LV64QsYEq9MOi0ww8BcaqN1m0ZNrPGSMMNhpTsDU2Dd3bfwkcVu2zuvgPD938n5EXpNySklhJ31Lp8yzoh4ghaUdKIirCNP0YIQ0lY179gRepHSTXkK2bbP0RHjheooW6A_S59hFXV2foUnl0Ny6QTnsHODy_sTrL3BOWqfVuABw26OkJILHjuPNc4wwhCmaePdUBTBJzzrYQ25SluXh19gsIe8DXGNp2BgxMHi0c1hHmFXTWCczgW5U5df9xvi_iV6ZvWY4NX9eYx-fPp4ff65uvp6sTx_f1UNTctFJRrZ9dRq0jDQvO5aDqwGw4wmraYNlbK3VgsgptUd6Y21QlvNpKFM1lqS-hi9PXjnGG43kLK6CZvoy0hFeVML2XHBC_XuQA0xpBTBqjm6Sce9okT9616V7tVd94V9c2_c9GW3R_Kh7AKcHYCtG2H_f5P6sLx-UFaHhEsZdo8JHdeqFbXg6ueXC8W-X367pOUi67-fJqDD</recordid><startdate>201408</startdate><enddate>201408</enddate><creator>Martin, Timothy M.</creator><creator>Wysocki, Beata J.</creator><creator>Beyersdorf, Jared P.</creator><creator>Wysocki, Tadeusz A.</creator><creator>Pannier, Angela K.</creator><general>Blackwell Publishing Ltd</general><general>Wiley Subscription Services, Inc</general><scope>BSCLL</scope><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>7QF</scope><scope>7QO</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7T7</scope><scope>7TA</scope><scope>7TB</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>P64</scope></search><sort><creationdate>201408</creationdate><title>Integrating mitosis, toxicity, and transgene expression in a telecommunications packet-switched network model of lipoplex-mediated gene delivery</title><author>Martin, Timothy M. ; Wysocki, Beata J. ; Beyersdorf, Jared P. ; Wysocki, Tadeusz A. ; Pannier, Angela K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4657-7489b1fa042ea53965e23ed2da06a14188bffa7e0d6a90bdff7afa28d1283a803</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Algorithms</topic><topic>Cell division</topic><topic>Cell Survival</topic><topic>Computer Simulation</topic><topic>Correlation analysis</topic><topic>DNA - administration & dosage</topic><topic>DNA - genetics</topic><topic>Drug Carriers - chemistry</topic><topic>Drug Carriers - metabolism</topic><topic>Gene Expression</topic><topic>Green Fluorescent Proteins - genetics</topic><topic>HeLa</topic><topic>HeLa Cells</topic><topic>Humans</topic><topic>Kinetics</topic><topic>Lipids - chemistry</topic><topic>Liposomes - chemistry</topic><topic>Liposomes - metabolism</topic><topic>Mitosis</topic><topic>Models, Genetic</topic><topic>nonviral gene delivery</topic><topic>nuclear plasmids</topic><topic>packet-switched network</topic><topic>Simulation</topic><topic>telecommunication modeling</topic><topic>Telecommunications</topic><topic>Toxicity</topic><topic>Transfection</topic><topic>Transgenes</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Martin, Timothy M.</creatorcontrib><creatorcontrib>Wysocki, Beata J.</creatorcontrib><creatorcontrib>Beyersdorf, Jared P.</creatorcontrib><creatorcontrib>Wysocki, Tadeusz A.</creatorcontrib><creatorcontrib>Pannier, Angela K.</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>Biotechnology and bioengineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Martin, Timothy M.</au><au>Wysocki, Beata J.</au><au>Beyersdorf, Jared P.</au><au>Wysocki, Tadeusz A.</au><au>Pannier, Angela K.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Integrating mitosis, toxicity, and transgene expression in a telecommunications packet-switched network model of lipoplex-mediated gene delivery</atitle><jtitle>Biotechnology and bioengineering</jtitle><addtitle>Biotechnol. Bioeng</addtitle><date>2014-08</date><risdate>2014</risdate><volume>111</volume><issue>8</issue><spage>1659</spage><epage>1671</epage><pages>1659-1671</pages><issn>0006-3592</issn><eissn>1097-0290</eissn><coden>BIBIAU</coden><abstract>ABSTRACT
Gene delivery systems transport exogenous genetic information to cells or biological systems with the potential to directly alter endogenous gene expression and behavior with applications in functional genomics, tissue engineering, medical devices, and gene therapy. Nonviral systems offer advantages over viral systems because of their low immunogenicity, inexpensive synthesis, and easy modification but suffer from lower transfection levels. The representation of gene transfer using models offers perspective and interpretation of complex cellular mechanisms, including nonviral gene delivery where exact mechanisms are unknown. Here, we introduce a novel telecommunications model of the nonviral gene delivery process in which the delivery of the gene to a cell is synonymous with delivery of a packet of information to a destination computer within a packet‐switched computer network. Such a model uses nodes and layers to simplify the complexity of modeling the transfection process and to overcome several challenges of existing models. These challenges include a limited scope and limited time frame, which often does not incorporate biological effects known to affect transfection. The telecommunication model was constructed in MATLAB to model lipoplex delivery of the gene encoding the green fluorescent protein to HeLa cells. Mitosis and toxicity events were included in the model resulting in simulation outputs of nuclear internalization and transfection efficiency that correlated with experimental data. A priori predictions based on model sensitivity analysis suggest that increasing endosomal escape and decreasing lysosomal degradation, protein degradation, and GFP‐induced toxicity can improve transfection efficiency by three‐fold. Application of the telecommunications model to nonviral gene delivery offers insight into the development of new gene delivery systems with therapeutically relevant transfection levels. Biotechnol. Bioeng. 2014;111: 1659–1671. © 2014 Wiley Periodicals, Inc.
Nonviral gene delivery was ed as a layered, telecommunications packet‐switched network and then implemented in MATLAB using queuing theory. The model accurately predicts delivery and expression of pEGFPLuc in HeLa cells using Lipofectamine 2000 DNA carrier, and demonstrates that lipoplex pharmacokinetics, mitosis, and cellular toxicity act together to affect transfection efficiency.</abstract><cop>United States</cop><pub>Blackwell Publishing Ltd</pub><pmid>25097912</pmid><doi>10.1002/bit.25207</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Algorithms Cell division Cell Survival Computer Simulation Correlation analysis DNA - administration & dosage DNA - genetics Drug Carriers - chemistry Drug Carriers - metabolism Gene Expression Green Fluorescent Proteins - genetics HeLa HeLa Cells Humans Kinetics Lipids - chemistry Liposomes - chemistry Liposomes - metabolism Mitosis Models, Genetic nonviral gene delivery nuclear plasmids packet-switched network Simulation telecommunication modeling Telecommunications Toxicity Transfection Transgenes |
title | Integrating mitosis, toxicity, and transgene expression in a telecommunications packet-switched network model of lipoplex-mediated gene delivery |
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