Scavenger receptor class A member 5 ( SCARA5 ) and suprabasin ( SBSN ) are hub genes of coexpression network modules associated with peripheral vein graft patency

Objective Approximately 30% of autogenous vein grafts develop luminal narrowing and fail because of intimal hyperplasia or negative remodeling. We previously found that vein graft cells from patients who later develop stenosis proliferate more in vitro in response to growth factors than cells from p...

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Veröffentlicht in:Journal of vascular surgery 2016-07, Vol.64 (1), p.202-209.e6
Hauptverfasser: Kenagy, Richard D., PhD, Civelek, Mete, PhD, Kikuchi, Shinsuke, MD, Chen, Lihua, PhD, Grieff, Anthony, BA, Sobel, Michael, MD, Lusis, Aldons J., PhD, Clowes, Alexander W., MD
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container_issue 1
container_start_page 202
container_title Journal of vascular surgery
container_volume 64
creator Kenagy, Richard D., PhD
Civelek, Mete, PhD
Kikuchi, Shinsuke, MD
Chen, Lihua, PhD
Grieff, Anthony, BA
Sobel, Michael, MD
Lusis, Aldons J., PhD
Clowes, Alexander W., MD
description Objective Approximately 30% of autogenous vein grafts develop luminal narrowing and fail because of intimal hyperplasia or negative remodeling. We previously found that vein graft cells from patients who later develop stenosis proliferate more in vitro in response to growth factors than cells from patients who maintain patent grafts. To discover novel determinants of vein graft outcome, we have analyzed gene expression profiles of these cells using a systems biology approach to cluster the genes into modules by their coexpression patterns and to correlate the results with growth data from our prior study and with new studies of migration and matrix remodeling. Methods RNA from 4-hour serum- or platelet-derived growth factor (PDGF)-BB-stimulated human saphenous vein cells obtained from the outer vein wall (20 cell lines) was used for microarray analysis of gene expression, followed by weighted gene coexpression network analysis. Cell migration in microchemotaxis chambers in response to PDGF-BB and cell-mediated collagen gel contraction in response to serum were also determined. Gene function was determined using short-interfering RNA to inhibit gene expression before subjecting cells to growth or collagen gel contraction assays. These cells were derived from samples of the vein grafts obtained at surgery, and the long-term fate of these bypass grafts was known. Results Neither migration nor cell-mediated collagen gel contraction showed a correlation with graft outcome. Although 1188 and 1340 genes were differentially expressed in response to treatment with serum and PDGF, respectively, no single gene was differentially expressed in cells isolated from patients whose grafts stenosed compared with those that remained patent. Network analysis revealed four unique groups of genes, which we term modules, associated with PDGF responses, and 20 unique modules associated with serum responses. The “yellow” and “skyblue” modules, from PDGF and serum analyses, respectively, correlated with later graft stenosis ( P  = .005 and P  = .02, respectively). In response to PDGF, yellow was also associated with increased cell growth. For serum, skyblue was also associated with inhibition of collagen gel contraction. The hub genes for yellow and skyblue (ie, the gene most connected to other genes in the module), scavenger receptor class A member 5 ( SCARA5 ) and suprabasin ( SBSN ), respectively, were tested for effects on proliferation and collagen contraction. Knockdown of SC
doi_str_mv 10.1016/j.jvs.2014.12.052
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We previously found that vein graft cells from patients who later develop stenosis proliferate more in vitro in response to growth factors than cells from patients who maintain patent grafts. To discover novel determinants of vein graft outcome, we have analyzed gene expression profiles of these cells using a systems biology approach to cluster the genes into modules by their coexpression patterns and to correlate the results with growth data from our prior study and with new studies of migration and matrix remodeling. Methods RNA from 4-hour serum- or platelet-derived growth factor (PDGF)-BB-stimulated human saphenous vein cells obtained from the outer vein wall (20 cell lines) was used for microarray analysis of gene expression, followed by weighted gene coexpression network analysis. Cell migration in microchemotaxis chambers in response to PDGF-BB and cell-mediated collagen gel contraction in response to serum were also determined. Gene function was determined using short-interfering RNA to inhibit gene expression before subjecting cells to growth or collagen gel contraction assays. These cells were derived from samples of the vein grafts obtained at surgery, and the long-term fate of these bypass grafts was known. Results Neither migration nor cell-mediated collagen gel contraction showed a correlation with graft outcome. Although 1188 and 1340 genes were differentially expressed in response to treatment with serum and PDGF, respectively, no single gene was differentially expressed in cells isolated from patients whose grafts stenosed compared with those that remained patent. Network analysis revealed four unique groups of genes, which we term modules, associated with PDGF responses, and 20 unique modules associated with serum responses. The “yellow” and “skyblue” modules, from PDGF and serum analyses, respectively, correlated with later graft stenosis ( P  = .005 and P  = .02, respectively). In response to PDGF, yellow was also associated with increased cell growth. For serum, skyblue was also associated with inhibition of collagen gel contraction. The hub genes for yellow and skyblue (ie, the gene most connected to other genes in the module), scavenger receptor class A member 5 ( SCARA5 ) and suprabasin ( SBSN ), respectively, were tested for effects on proliferation and collagen contraction. Knockdown of SCARA5 increased proliferation by 29.9% ± 7.8% ( P  &lt; .01), whereas knockdown of SBSN had no effect. Knockdown of SBSN increased collagen gel contraction by 24.2% ± 8.6% ( P  &lt; .05), whereas knockdown of SCARA5 had no effect. Conclusions Using weighted gene coexpression network analysis of cultured vein graft cell gene expression, we have discovered two small gene modules, which comprise 42 genes, that are associated with vein graft failure. Further experiments are needed to delineate the venous cells that express these genes in vivo and the roles these genes play in vein graft healing, starting with the module hub genes SCARA5 and SBSN , which have been shown to have modest effects on cell proliferation or collagen gel contraction.</description><identifier>ISSN: 0741-5214</identifier><identifier>EISSN: 1097-6809</identifier><identifier>DOI: 10.1016/j.jvs.2014.12.052</identifier><identifier>PMID: 25935274</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Antigens, Differentiation - genetics ; Becaplermin ; Cell Line ; Cell Movement ; Cell Proliferation ; Cluster Analysis ; Gene Expression Profiling - methods ; Gene Expression Regulation ; Gene Regulatory Networks ; Genetic Predisposition to Disease ; Graft Occlusion, Vascular - diagnosis ; Graft Occlusion, Vascular - genetics ; Graft Occlusion, Vascular - metabolism ; Graft Occlusion, Vascular - physiopathology ; Humans ; Hyperplasia ; Neointima ; Neoplasm Proteins - genetics ; Oligonucleotide Array Sequence Analysis ; Phenotype ; Proto-Oncogene Proteins c-sis - pharmacology ; Risk Factors ; RNA Interference ; Scavenger Receptors, Class A - genetics ; Surgery ; Systems Biology ; Transfection ; Treatment Outcome ; Vascular Grafting - adverse effects ; Vascular Patency - genetics ; Veins - drug effects ; Veins - metabolism ; Veins - physiopathology ; Veins - transplantation ; Wound Healing</subject><ispartof>Journal of vascular surgery, 2016-07, Vol.64 (1), p.202-209.e6</ispartof><rights>Society for Vascular Surgery</rights><rights>2016 Society for Vascular Surgery</rights><rights>Copyright © 2016 Society for Vascular Surgery. Published by Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c451t-8ea16a8746f798a779921d28f28c7e79d93ec7b221b5d49c8efd2ef080892f6f3</citedby><cites>FETCH-LOGICAL-c451t-8ea16a8746f798a779921d28f28c7e79d93ec7b221b5d49c8efd2ef080892f6f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.jvs.2014.12.052$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25935274$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kenagy, Richard D., PhD</creatorcontrib><creatorcontrib>Civelek, Mete, PhD</creatorcontrib><creatorcontrib>Kikuchi, Shinsuke, MD</creatorcontrib><creatorcontrib>Chen, Lihua, PhD</creatorcontrib><creatorcontrib>Grieff, Anthony, BA</creatorcontrib><creatorcontrib>Sobel, Michael, MD</creatorcontrib><creatorcontrib>Lusis, Aldons J., PhD</creatorcontrib><creatorcontrib>Clowes, Alexander W., MD</creatorcontrib><title>Scavenger receptor class A member 5 ( SCARA5 ) and suprabasin ( SBSN ) are hub genes of coexpression network modules associated with peripheral vein graft patency</title><title>Journal of vascular surgery</title><addtitle>J Vasc Surg</addtitle><description>Objective Approximately 30% of autogenous vein grafts develop luminal narrowing and fail because of intimal hyperplasia or negative remodeling. We previously found that vein graft cells from patients who later develop stenosis proliferate more in vitro in response to growth factors than cells from patients who maintain patent grafts. To discover novel determinants of vein graft outcome, we have analyzed gene expression profiles of these cells using a systems biology approach to cluster the genes into modules by their coexpression patterns and to correlate the results with growth data from our prior study and with new studies of migration and matrix remodeling. Methods RNA from 4-hour serum- or platelet-derived growth factor (PDGF)-BB-stimulated human saphenous vein cells obtained from the outer vein wall (20 cell lines) was used for microarray analysis of gene expression, followed by weighted gene coexpression network analysis. Cell migration in microchemotaxis chambers in response to PDGF-BB and cell-mediated collagen gel contraction in response to serum were also determined. Gene function was determined using short-interfering RNA to inhibit gene expression before subjecting cells to growth or collagen gel contraction assays. These cells were derived from samples of the vein grafts obtained at surgery, and the long-term fate of these bypass grafts was known. Results Neither migration nor cell-mediated collagen gel contraction showed a correlation with graft outcome. Although 1188 and 1340 genes were differentially expressed in response to treatment with serum and PDGF, respectively, no single gene was differentially expressed in cells isolated from patients whose grafts stenosed compared with those that remained patent. Network analysis revealed four unique groups of genes, which we term modules, associated with PDGF responses, and 20 unique modules associated with serum responses. The “yellow” and “skyblue” modules, from PDGF and serum analyses, respectively, correlated with later graft stenosis ( P  = .005 and P  = .02, respectively). In response to PDGF, yellow was also associated with increased cell growth. For serum, skyblue was also associated with inhibition of collagen gel contraction. The hub genes for yellow and skyblue (ie, the gene most connected to other genes in the module), scavenger receptor class A member 5 ( SCARA5 ) and suprabasin ( SBSN ), respectively, were tested for effects on proliferation and collagen contraction. Knockdown of SCARA5 increased proliferation by 29.9% ± 7.8% ( P  &lt; .01), whereas knockdown of SBSN had no effect. Knockdown of SBSN increased collagen gel contraction by 24.2% ± 8.6% ( P  &lt; .05), whereas knockdown of SCARA5 had no effect. Conclusions Using weighted gene coexpression network analysis of cultured vein graft cell gene expression, we have discovered two small gene modules, which comprise 42 genes, that are associated with vein graft failure. Further experiments are needed to delineate the venous cells that express these genes in vivo and the roles these genes play in vein graft healing, starting with the module hub genes SCARA5 and SBSN , which have been shown to have modest effects on cell proliferation or collagen gel contraction.</description><subject>Antigens, Differentiation - genetics</subject><subject>Becaplermin</subject><subject>Cell Line</subject><subject>Cell Movement</subject><subject>Cell Proliferation</subject><subject>Cluster Analysis</subject><subject>Gene Expression Profiling - methods</subject><subject>Gene Expression Regulation</subject><subject>Gene Regulatory Networks</subject><subject>Genetic Predisposition to Disease</subject><subject>Graft Occlusion, Vascular - diagnosis</subject><subject>Graft Occlusion, Vascular - genetics</subject><subject>Graft Occlusion, Vascular - metabolism</subject><subject>Graft Occlusion, Vascular - physiopathology</subject><subject>Humans</subject><subject>Hyperplasia</subject><subject>Neointima</subject><subject>Neoplasm Proteins - genetics</subject><subject>Oligonucleotide Array Sequence Analysis</subject><subject>Phenotype</subject><subject>Proto-Oncogene Proteins c-sis - pharmacology</subject><subject>Risk Factors</subject><subject>RNA Interference</subject><subject>Scavenger Receptors, Class A - genetics</subject><subject>Surgery</subject><subject>Systems Biology</subject><subject>Transfection</subject><subject>Treatment Outcome</subject><subject>Vascular Grafting - adverse effects</subject><subject>Vascular Patency - genetics</subject><subject>Veins - drug effects</subject><subject>Veins - metabolism</subject><subject>Veins - physiopathology</subject><subject>Veins - transplantation</subject><subject>Wound Healing</subject><issn>0741-5214</issn><issn>1097-6809</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9ksGO0zAURSMEYsrAB7BBXg6LBNuNY1tISKViAGkEEoW15TgvrTOJHeykQ3-HLx1HHViwYGXpvXuv5Htelr0kuCCYVG-6ojvGgmJSFoQWmNFH2YpgyfNKYPk4W2FekpxRUl5kz2LsMCaECf40u6BMrhnl5Sr7vTP6CG4PAQUwME4-INPrGNEGDTDUac7QFdptN982DL1G2jUozmPQtY7WLZv3uy_LPAA6zDXag4OIfIuMh19jgBitd8jBdOfDLRp8M_dpn_K9sXqCBt3Z6YBGCHY8QNA9OkKK3QfdTmhMAmdOz7Mnre4jvHh4L7Mf1x--bz_lN18_ft5ubnJTMjLlAjSptOBl1XIpNOdSUtJQ0VJhOHDZyDUYXlNKataU0ghoGwotFlhI2lbt-jK7OueOwf-cIU5qsNFA32sHfo6KiFQglVKIJCVnqQk-xgCtGoMddDgpgtWCRnUqoVELGkWoSmiS59VD_FwP0Px1_GGRBG_PAkifPFoIKhqbCoDGJjSTarz9b_y7f9ymt84a3d_CCWLn5-BSe4qomAxqt9zGchqEYYxpydb33K-0Fw</recordid><startdate>20160701</startdate><enddate>20160701</enddate><creator>Kenagy, Richard D., PhD</creator><creator>Civelek, Mete, PhD</creator><creator>Kikuchi, Shinsuke, MD</creator><creator>Chen, Lihua, PhD</creator><creator>Grieff, Anthony, BA</creator><creator>Sobel, Michael, MD</creator><creator>Lusis, Aldons J., PhD</creator><creator>Clowes, Alexander W., MD</creator><general>Elsevier Inc</general><scope>6I.</scope><scope>AAFTH</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>7X8</scope></search><sort><creationdate>20160701</creationdate><title>Scavenger receptor class A member 5 ( SCARA5 ) and suprabasin ( SBSN ) are hub genes of coexpression network modules associated with peripheral vein graft patency</title><author>Kenagy, Richard D., PhD ; Civelek, Mete, PhD ; Kikuchi, Shinsuke, MD ; Chen, Lihua, PhD ; Grieff, Anthony, BA ; Sobel, Michael, MD ; Lusis, Aldons J., PhD ; Clowes, Alexander W., MD</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c451t-8ea16a8746f798a779921d28f28c7e79d93ec7b221b5d49c8efd2ef080892f6f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Antigens, Differentiation - genetics</topic><topic>Becaplermin</topic><topic>Cell Line</topic><topic>Cell Movement</topic><topic>Cell Proliferation</topic><topic>Cluster Analysis</topic><topic>Gene Expression Profiling - methods</topic><topic>Gene Expression Regulation</topic><topic>Gene Regulatory Networks</topic><topic>Genetic Predisposition to Disease</topic><topic>Graft Occlusion, Vascular - diagnosis</topic><topic>Graft Occlusion, Vascular - genetics</topic><topic>Graft Occlusion, Vascular - metabolism</topic><topic>Graft Occlusion, Vascular - physiopathology</topic><topic>Humans</topic><topic>Hyperplasia</topic><topic>Neointima</topic><topic>Neoplasm Proteins - genetics</topic><topic>Oligonucleotide Array Sequence Analysis</topic><topic>Phenotype</topic><topic>Proto-Oncogene Proteins c-sis - pharmacology</topic><topic>Risk Factors</topic><topic>RNA Interference</topic><topic>Scavenger Receptors, Class A - genetics</topic><topic>Surgery</topic><topic>Systems Biology</topic><topic>Transfection</topic><topic>Treatment Outcome</topic><topic>Vascular Grafting - adverse effects</topic><topic>Vascular Patency - genetics</topic><topic>Veins - drug effects</topic><topic>Veins - metabolism</topic><topic>Veins - physiopathology</topic><topic>Veins - transplantation</topic><topic>Wound Healing</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kenagy, Richard D., PhD</creatorcontrib><creatorcontrib>Civelek, Mete, PhD</creatorcontrib><creatorcontrib>Kikuchi, Shinsuke, MD</creatorcontrib><creatorcontrib>Chen, Lihua, PhD</creatorcontrib><creatorcontrib>Grieff, Anthony, BA</creatorcontrib><creatorcontrib>Sobel, Michael, MD</creatorcontrib><creatorcontrib>Lusis, Aldons J., PhD</creatorcontrib><creatorcontrib>Clowes, Alexander W., MD</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of vascular surgery</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kenagy, Richard D., PhD</au><au>Civelek, Mete, PhD</au><au>Kikuchi, Shinsuke, MD</au><au>Chen, Lihua, PhD</au><au>Grieff, Anthony, BA</au><au>Sobel, Michael, MD</au><au>Lusis, Aldons J., PhD</au><au>Clowes, Alexander W., MD</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Scavenger receptor class A member 5 ( SCARA5 ) and suprabasin ( SBSN ) are hub genes of coexpression network modules associated with peripheral vein graft patency</atitle><jtitle>Journal of vascular surgery</jtitle><addtitle>J Vasc Surg</addtitle><date>2016-07-01</date><risdate>2016</risdate><volume>64</volume><issue>1</issue><spage>202</spage><epage>209.e6</epage><pages>202-209.e6</pages><issn>0741-5214</issn><eissn>1097-6809</eissn><abstract>Objective Approximately 30% of autogenous vein grafts develop luminal narrowing and fail because of intimal hyperplasia or negative remodeling. We previously found that vein graft cells from patients who later develop stenosis proliferate more in vitro in response to growth factors than cells from patients who maintain patent grafts. To discover novel determinants of vein graft outcome, we have analyzed gene expression profiles of these cells using a systems biology approach to cluster the genes into modules by their coexpression patterns and to correlate the results with growth data from our prior study and with new studies of migration and matrix remodeling. Methods RNA from 4-hour serum- or platelet-derived growth factor (PDGF)-BB-stimulated human saphenous vein cells obtained from the outer vein wall (20 cell lines) was used for microarray analysis of gene expression, followed by weighted gene coexpression network analysis. Cell migration in microchemotaxis chambers in response to PDGF-BB and cell-mediated collagen gel contraction in response to serum were also determined. Gene function was determined using short-interfering RNA to inhibit gene expression before subjecting cells to growth or collagen gel contraction assays. These cells were derived from samples of the vein grafts obtained at surgery, and the long-term fate of these bypass grafts was known. Results Neither migration nor cell-mediated collagen gel contraction showed a correlation with graft outcome. Although 1188 and 1340 genes were differentially expressed in response to treatment with serum and PDGF, respectively, no single gene was differentially expressed in cells isolated from patients whose grafts stenosed compared with those that remained patent. Network analysis revealed four unique groups of genes, which we term modules, associated with PDGF responses, and 20 unique modules associated with serum responses. The “yellow” and “skyblue” modules, from PDGF and serum analyses, respectively, correlated with later graft stenosis ( P  = .005 and P  = .02, respectively). In response to PDGF, yellow was also associated with increased cell growth. For serum, skyblue was also associated with inhibition of collagen gel contraction. The hub genes for yellow and skyblue (ie, the gene most connected to other genes in the module), scavenger receptor class A member 5 ( SCARA5 ) and suprabasin ( SBSN ), respectively, were tested for effects on proliferation and collagen contraction. Knockdown of SCARA5 increased proliferation by 29.9% ± 7.8% ( P  &lt; .01), whereas knockdown of SBSN had no effect. Knockdown of SBSN increased collagen gel contraction by 24.2% ± 8.6% ( P  &lt; .05), whereas knockdown of SCARA5 had no effect. Conclusions Using weighted gene coexpression network analysis of cultured vein graft cell gene expression, we have discovered two small gene modules, which comprise 42 genes, that are associated with vein graft failure. Further experiments are needed to delineate the venous cells that express these genes in vivo and the roles these genes play in vein graft healing, starting with the module hub genes SCARA5 and SBSN , which have been shown to have modest effects on cell proliferation or collagen gel contraction.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>25935274</pmid><doi>10.1016/j.jvs.2014.12.052</doi><oa>free_for_read</oa></addata></record>
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subjects Antigens, Differentiation - genetics
Becaplermin
Cell Line
Cell Movement
Cell Proliferation
Cluster Analysis
Gene Expression Profiling - methods
Gene Expression Regulation
Gene Regulatory Networks
Genetic Predisposition to Disease
Graft Occlusion, Vascular - diagnosis
Graft Occlusion, Vascular - genetics
Graft Occlusion, Vascular - metabolism
Graft Occlusion, Vascular - physiopathology
Humans
Hyperplasia
Neointima
Neoplasm Proteins - genetics
Oligonucleotide Array Sequence Analysis
Phenotype
Proto-Oncogene Proteins c-sis - pharmacology
Risk Factors
RNA Interference
Scavenger Receptors, Class A - genetics
Surgery
Systems Biology
Transfection
Treatment Outcome
Vascular Grafting - adverse effects
Vascular Patency - genetics
Veins - drug effects
Veins - metabolism
Veins - physiopathology
Veins - transplantation
Wound Healing
title Scavenger receptor class A member 5 ( SCARA5 ) and suprabasin ( SBSN ) are hub genes of coexpression network modules associated with peripheral vein graft patency
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