Network analysis of endogenous gene expression profiles after polyethyleneimine-mediated DNA delivery

Background DNA delivery systems, which transport exogenous DNA to cells, have applications that include gene therapy, tissue engineering and medical devices. Although the cationic nonviral DNA carrier polyethyleneimine (PEI) has been widely studied, the molecular factors and pathways underlying PEI‐...

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Veröffentlicht in:The journal of gene medicine 2013-03, Vol.15 (3-4), p.142-154
Hauptverfasser: Martin, Timothy M., Plautz, Sarah A., Pannier, Angela K.
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Plautz, Sarah A.
Pannier, Angela K.
description Background DNA delivery systems, which transport exogenous DNA to cells, have applications that include gene therapy, tissue engineering and medical devices. Although the cationic nonviral DNA carrier polyethyleneimine (PEI) has been widely studied, the molecular factors and pathways underlying PEI‐mediated DNA transfer remain largely unknown, preventing the design of more efficient delivery systems. Methods HEK 293 T cells were treated with polyplexes formed with PEI and pEGFPLuc encoding for green fluorescent protein (GFP). Transfected cells expressing GFP were flow‐separated from treated, untransfected cells. Gene expression profiles were obtained using Affymetrix HG‐U133 2.0 microarrays and differentially expressed genes were identified using R/Bioconductor. Gene network analysis using EGAN (exploratory gene association network) bioinformatics tools was then used to find interaction among genes and enriched gene ontology (GO) terms related to transfection. Genes identified by this method were perturbed using pharmacologic activators or inhibitors to assess their effect on DNA transfer. Results Microarray analysis comparing transfected cells to untransfected cells revealed 215 genes to be differentially expressed, with the majority enriched to GO processes including metabolism, response to stimulus, cell cycle, biological regulation and cellular component organization or biogenesis pathways. Gene network analysis revealed a coordinated induction of RAP1A, SCG5, PGAP1, ATF3 and NEB genes implicated in cell stress, cell cycle and cytoskeletal processes. Altering pathways with pharmacologic agents confirmed the potential role of RAP1A, SCG5 and ATF3 in transfection. Conclusions Microarray and gene network analyses of the sorted, transfected cell population can identify potential mediators of transfection, providing a basis for the design of improved delivery systems. Copyright © 2013 John Wiley & Sons, Ltd.
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Although the cationic nonviral DNA carrier polyethyleneimine (PEI) has been widely studied, the molecular factors and pathways underlying PEI‐mediated DNA transfer remain largely unknown, preventing the design of more efficient delivery systems. Methods HEK 293 T cells were treated with polyplexes formed with PEI and pEGFPLuc encoding for green fluorescent protein (GFP). Transfected cells expressing GFP were flow‐separated from treated, untransfected cells. Gene expression profiles were obtained using Affymetrix HG‐U133 2.0 microarrays and differentially expressed genes were identified using R/Bioconductor. Gene network analysis using EGAN (exploratory gene association network) bioinformatics tools was then used to find interaction among genes and enriched gene ontology (GO) terms related to transfection. Genes identified by this method were perturbed using pharmacologic activators or inhibitors to assess their effect on DNA transfer. Results Microarray analysis comparing transfected cells to untransfected cells revealed 215 genes to be differentially expressed, with the majority enriched to GO processes including metabolism, response to stimulus, cell cycle, biological regulation and cellular component organization or biogenesis pathways. Gene network analysis revealed a coordinated induction of RAP1A, SCG5, PGAP1, ATF3 and NEB genes implicated in cell stress, cell cycle and cytoskeletal processes. Altering pathways with pharmacologic agents confirmed the potential role of RAP1A, SCG5 and ATF3 in transfection. Conclusions Microarray and gene network analyses of the sorted, transfected cell population can identify potential mediators of transfection, providing a basis for the design of improved delivery systems. Copyright © 2013 John Wiley &amp; Sons, Ltd.</description><identifier>ISSN: 1099-498X</identifier><identifier>EISSN: 1521-2254</identifier><identifier>DOI: 10.1002/jgm.2704</identifier><identifier>PMID: 23526566</identifier><language>eng</language><publisher>England: Blackwell Publishing Ltd</publisher><subject>Activating Transcription Factor 3 - metabolism ; Computational Biology - methods ; DNA - metabolism ; Drug Delivery Systems - methods ; Flow Cytometry ; gene profile ; Gene Regulatory Networks - genetics ; Gene therapy ; Gene Transfer Techniques ; Green Fluorescent Proteins ; HEK 293 T ; HEK293 Cells ; Humans ; Membrane Proteins - metabolism ; microarray ; Microarray Analysis ; Muscle Proteins - metabolism ; Neuroendocrine Secretory Protein 7B2 - metabolism ; nonviral gene delivery ; PEI ; Phosphoric Monoester Hydrolases - metabolism ; Polyethyleneimine - metabolism ; rap1 GTP-Binding Proteins - metabolism ; Reverse Transcriptase Polymerase Chain Reaction ; Transcriptome</subject><ispartof>The journal of gene medicine, 2013-03, Vol.15 (3-4), p.142-154</ispartof><rights>Copyright © 2013 John Wiley &amp; Sons, Ltd.</rights><rights>2013 John Wiley &amp; Sons, Ltd. 2013</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4764-be7752f9ab1a5dbcd3340f29c7ff127898d37e6833f5571c11ee1b54862f002b3</citedby><cites>FETCH-LOGICAL-c4764-be7752f9ab1a5dbcd3340f29c7ff127898d37e6833f5571c11ee1b54862f002b3</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%2Fjgm.2704$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fjgm.2704$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,780,784,885,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23526566$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Martin, Timothy M.</creatorcontrib><creatorcontrib>Plautz, Sarah A.</creatorcontrib><creatorcontrib>Pannier, Angela K.</creatorcontrib><title>Network analysis of endogenous gene expression profiles after polyethyleneimine-mediated DNA delivery</title><title>The journal of gene medicine</title><addtitle>J Gene Med</addtitle><description>Background DNA delivery systems, which transport exogenous DNA to cells, have applications that include gene therapy, tissue engineering and medical devices. Although the cationic nonviral DNA carrier polyethyleneimine (PEI) has been widely studied, the molecular factors and pathways underlying PEI‐mediated DNA transfer remain largely unknown, preventing the design of more efficient delivery systems. Methods HEK 293 T cells were treated with polyplexes formed with PEI and pEGFPLuc encoding for green fluorescent protein (GFP). Transfected cells expressing GFP were flow‐separated from treated, untransfected cells. Gene expression profiles were obtained using Affymetrix HG‐U133 2.0 microarrays and differentially expressed genes were identified using R/Bioconductor. Gene network analysis using EGAN (exploratory gene association network) bioinformatics tools was then used to find interaction among genes and enriched gene ontology (GO) terms related to transfection. Genes identified by this method were perturbed using pharmacologic activators or inhibitors to assess their effect on DNA transfer. Results Microarray analysis comparing transfected cells to untransfected cells revealed 215 genes to be differentially expressed, with the majority enriched to GO processes including metabolism, response to stimulus, cell cycle, biological regulation and cellular component organization or biogenesis pathways. Gene network analysis revealed a coordinated induction of RAP1A, SCG5, PGAP1, ATF3 and NEB genes implicated in cell stress, cell cycle and cytoskeletal processes. Altering pathways with pharmacologic agents confirmed the potential role of RAP1A, SCG5 and ATF3 in transfection. Conclusions Microarray and gene network analyses of the sorted, transfected cell population can identify potential mediators of transfection, providing a basis for the design of improved delivery systems. Copyright © 2013 John Wiley &amp; Sons, Ltd.</description><subject>Activating Transcription Factor 3 - metabolism</subject><subject>Computational Biology - methods</subject><subject>DNA - metabolism</subject><subject>Drug Delivery Systems - methods</subject><subject>Flow Cytometry</subject><subject>gene profile</subject><subject>Gene Regulatory Networks - genetics</subject><subject>Gene therapy</subject><subject>Gene Transfer Techniques</subject><subject>Green Fluorescent Proteins</subject><subject>HEK 293 T</subject><subject>HEK293 Cells</subject><subject>Humans</subject><subject>Membrane Proteins - metabolism</subject><subject>microarray</subject><subject>Microarray Analysis</subject><subject>Muscle Proteins - metabolism</subject><subject>Neuroendocrine Secretory Protein 7B2 - metabolism</subject><subject>nonviral gene delivery</subject><subject>PEI</subject><subject>Phosphoric Monoester Hydrolases - metabolism</subject><subject>Polyethyleneimine - metabolism</subject><subject>rap1 GTP-Binding Proteins - metabolism</subject><subject>Reverse Transcriptase Polymerase Chain Reaction</subject><subject>Transcriptome</subject><issn>1099-498X</issn><issn>1521-2254</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kVtrFDEYhgdRbK2Cv0AC3ngzNcfJ5EZoq10tdQUP1LuQmfmyzTYzGZPZtvPvTem6HsCrL5CHh5f3LYrnBB8SjOnr9ao_pBLzB8U-EZSUlAr-ML-xUiVX9fe94klKa4yJrGv1uNijTNBKVNV-AUuYbkK8QmYwfk4uoWARDF1YwRA2CeUDCG7HCCm5MKAxBus8JGTsBBGNwc8wXc4-Y653A5Q9dM5M0KG3yyPUgXfXEOenxSNrfIJn23tQfDt99_XkfXn-afHh5Oi8bLmseNmAlIJaZRpiRNe0HWMcW6paaS2hslZ1xyRUNWNWCElaQgBII3hdUZtraNhB8ebeO26aHKSFYYrG6zG63sRZB-P03z-Du9SrcK05IYJJnAWvtoIYfmwgTbp3qQXvzQC5Dk0Yq5niVS0y-vIfdB02MbeYKSmE4hIr8VvYxpBSBLsLQ7C-207n7fTddhl98Wf4HfhrrAyU98BNXmD-r0ifLT5uhVvepQlud7yJV7qSTAp9sVzo4-XnL6dycaHP2E_Eg7RB</recordid><startdate>201303</startdate><enddate>201303</enddate><creator>Martin, Timothy M.</creator><creator>Plautz, Sarah A.</creator><creator>Pannier, Angela K.</creator><general>Blackwell Publishing Ltd</general><general>Wiley Periodicals 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>7QP</scope><scope>7TK</scope><scope>7TM</scope><scope>8FD</scope><scope>FR3</scope><scope>K9.</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>201303</creationdate><title>Network analysis of endogenous gene expression profiles after polyethyleneimine-mediated DNA delivery</title><author>Martin, Timothy M. ; Plautz, Sarah A. ; Pannier, Angela K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4764-be7752f9ab1a5dbcd3340f29c7ff127898d37e6833f5571c11ee1b54862f002b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Activating Transcription Factor 3 - metabolism</topic><topic>Computational Biology - methods</topic><topic>DNA - metabolism</topic><topic>Drug Delivery Systems - methods</topic><topic>Flow Cytometry</topic><topic>gene profile</topic><topic>Gene Regulatory Networks - genetics</topic><topic>Gene therapy</topic><topic>Gene Transfer Techniques</topic><topic>Green Fluorescent Proteins</topic><topic>HEK 293 T</topic><topic>HEK293 Cells</topic><topic>Humans</topic><topic>Membrane Proteins - metabolism</topic><topic>microarray</topic><topic>Microarray Analysis</topic><topic>Muscle Proteins - metabolism</topic><topic>Neuroendocrine Secretory Protein 7B2 - metabolism</topic><topic>nonviral gene delivery</topic><topic>PEI</topic><topic>Phosphoric Monoester Hydrolases - metabolism</topic><topic>Polyethyleneimine - metabolism</topic><topic>rap1 GTP-Binding Proteins - metabolism</topic><topic>Reverse Transcriptase Polymerase Chain Reaction</topic><topic>Transcriptome</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Martin, Timothy M.</creatorcontrib><creatorcontrib>Plautz, Sarah 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>Calcium &amp; Calcified Tissue Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>The journal of gene medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Martin, Timothy M.</au><au>Plautz, Sarah A.</au><au>Pannier, Angela K.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Network analysis of endogenous gene expression profiles after polyethyleneimine-mediated DNA delivery</atitle><jtitle>The journal of gene medicine</jtitle><addtitle>J Gene Med</addtitle><date>2013-03</date><risdate>2013</risdate><volume>15</volume><issue>3-4</issue><spage>142</spage><epage>154</epage><pages>142-154</pages><issn>1099-498X</issn><eissn>1521-2254</eissn><abstract>Background DNA delivery systems, which transport exogenous DNA to cells, have applications that include gene therapy, tissue engineering and medical devices. Although the cationic nonviral DNA carrier polyethyleneimine (PEI) has been widely studied, the molecular factors and pathways underlying PEI‐mediated DNA transfer remain largely unknown, preventing the design of more efficient delivery systems. Methods HEK 293 T cells were treated with polyplexes formed with PEI and pEGFPLuc encoding for green fluorescent protein (GFP). Transfected cells expressing GFP were flow‐separated from treated, untransfected cells. Gene expression profiles were obtained using Affymetrix HG‐U133 2.0 microarrays and differentially expressed genes were identified using R/Bioconductor. Gene network analysis using EGAN (exploratory gene association network) bioinformatics tools was then used to find interaction among genes and enriched gene ontology (GO) terms related to transfection. Genes identified by this method were perturbed using pharmacologic activators or inhibitors to assess their effect on DNA transfer. Results Microarray analysis comparing transfected cells to untransfected cells revealed 215 genes to be differentially expressed, with the majority enriched to GO processes including metabolism, response to stimulus, cell cycle, biological regulation and cellular component organization or biogenesis pathways. Gene network analysis revealed a coordinated induction of RAP1A, SCG5, PGAP1, ATF3 and NEB genes implicated in cell stress, cell cycle and cytoskeletal processes. Altering pathways with pharmacologic agents confirmed the potential role of RAP1A, SCG5 and ATF3 in transfection. Conclusions Microarray and gene network analyses of the sorted, transfected cell population can identify potential mediators of transfection, providing a basis for the design of improved delivery systems. Copyright © 2013 John Wiley &amp; Sons, Ltd.</abstract><cop>England</cop><pub>Blackwell Publishing Ltd</pub><pmid>23526566</pmid><doi>10.1002/jgm.2704</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record>
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source MEDLINE; Wiley Journals
subjects Activating Transcription Factor 3 - metabolism
Computational Biology - methods
DNA - metabolism
Drug Delivery Systems - methods
Flow Cytometry
gene profile
Gene Regulatory Networks - genetics
Gene therapy
Gene Transfer Techniques
Green Fluorescent Proteins
HEK 293 T
HEK293 Cells
Humans
Membrane Proteins - metabolism
microarray
Microarray Analysis
Muscle Proteins - metabolism
Neuroendocrine Secretory Protein 7B2 - metabolism
nonviral gene delivery
PEI
Phosphoric Monoester Hydrolases - metabolism
Polyethyleneimine - metabolism
rap1 GTP-Binding Proteins - metabolism
Reverse Transcriptase Polymerase Chain Reaction
Transcriptome
title Network analysis of endogenous gene expression profiles after polyethyleneimine-mediated DNA delivery
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