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RNA-sequencing analysis of HepG2 cells treated with atorvastatin
The cholesterol-lowering drug atorvastatin is among the most prescribed drug in the world. Alternative splicing in a number of genes has been reported to be associated with variable statin response. RNA-seq has proven to be a powerful technique for genome-wide splice variant analysis. In the present...
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Published in: | PloS one 2014-08, Vol.9 (8), p.e105836 |
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description | The cholesterol-lowering drug atorvastatin is among the most prescribed drug in the world. Alternative splicing in a number of genes has been reported to be associated with variable statin response. RNA-seq has proven to be a powerful technique for genome-wide splice variant analysis. In the present study, we sought to investigate atorvastatin responsive splice variants in HepG2 cells using RNA-seq analysis to identify novel candidate genes implicated in cholesterol homeostasis and in the statin response. HepG2 cells were treated with 10 µM atorvastatin for 24 hours. RNA-seq and exon array analyses were performed. The validation of selected genes was performed using Taqman gene expression assays. RNA-seq analysis identified 121 genes and 98 specific splice variants, of which four were minor splice variants to be differentially expressed, 11 were genes with potential changes in their splicing patterns (SYCP3, ZNF195, ZNF674, MYD88, WHSC1, KIF16B, ZNF92, AGER, FCHO1, SLC6A12 and AKAP9), and one was a gene (RAP1GAP) with differential promoter usage. The IL21R transcript was detected to be differentially expressed via RNA-seq and RT-qPCR, but not in the exon array. In conclusion, several novel candidate genes that are affected by atorvastatin treatment were identified in this study. Further studies are needed to determine the biological significance of the atorvastatin responsive splice variants that have been uniquely identified using RNA-seq. |
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Alternative splicing in a number of genes has been reported to be associated with variable statin response. RNA-seq has proven to be a powerful technique for genome-wide splice variant analysis. In the present study, we sought to investigate atorvastatin responsive splice variants in HepG2 cells using RNA-seq analysis to identify novel candidate genes implicated in cholesterol homeostasis and in the statin response. HepG2 cells were treated with 10 µM atorvastatin for 24 hours. RNA-seq and exon array analyses were performed. The validation of selected genes was performed using Taqman gene expression assays. RNA-seq analysis identified 121 genes and 98 specific splice variants, of which four were minor splice variants to be differentially expressed, 11 were genes with potential changes in their splicing patterns (SYCP3, ZNF195, ZNF674, MYD88, WHSC1, KIF16B, ZNF92, AGER, FCHO1, SLC6A12 and AKAP9), and one was a gene (RAP1GAP) with differential promoter usage. The IL21R transcript was detected to be differentially expressed via RNA-seq and RT-qPCR, but not in the exon array. In conclusion, several novel candidate genes that are affected by atorvastatin treatment were identified in this study. Further studies are needed to determine the biological significance of the atorvastatin responsive splice variants that have been uniquely identified using RNA-seq.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0105836</identifier><identifier>PMID: 25153832</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Acids ; Alternative splicing ; Anticholesteremic Agents - pharmacology ; Atorvastatin ; Biochemistry ; Bioinformatics ; Biology and Life Sciences ; Biosynthesis ; Cholesterol ; Clinical medicine ; Exons ; Experiments ; Gene expression ; Gene Expression - drug effects ; Gene sequencing ; Genes ; Genomes ; Genomics ; Hep G2 Cells ; Hepatocytes - drug effects ; Hepatocytes - metabolism ; Heptanoic Acids - pharmacology ; Homeostasis ; Hospitals ; Humans ; Kinases ; Low density lipoprotein ; Medicine ; Medicine and Health Sciences ; MyD88 protein ; Pyrroles - pharmacology ; Ribonucleic acid ; RNA ; RNA Splicing ; Sequence Analysis, RNA ; Statins ; Sterols ; Transcription ; Transcriptome</subject><ispartof>PloS one, 2014-08, Vol.9 (8), p.e105836</ispartof><rights>2014 Stormo et al. 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>info:eu-repo/semantics/openAccess</rights><rights>2014 Stormo et al 2014 Stormo et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c550t-6fc7973acf2a9bf959e320141a7d707806d3102ca730279f952db1a61abdfcb3</citedby><cites>FETCH-LOGICAL-c550t-6fc7973acf2a9bf959e320141a7d707806d3102ca730279f952db1a61abdfcb3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1556010726/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1556010726?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,724,777,781,882,25734,26548,27905,27906,36993,44571,53772,53774,74875</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25153832$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Mills, Ken</contributor><creatorcontrib>Stormo, Camilla</creatorcontrib><creatorcontrib>Kringen, Marianne K</creatorcontrib><creatorcontrib>Lyle, Robert</creatorcontrib><creatorcontrib>Olstad, Ole Kristoffer</creatorcontrib><creatorcontrib>Sachse, Daniel</creatorcontrib><creatorcontrib>Berg, Jens P</creatorcontrib><creatorcontrib>Piehler, Armin P</creatorcontrib><title>RNA-sequencing analysis of HepG2 cells treated with atorvastatin</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>The cholesterol-lowering drug atorvastatin is among the most prescribed drug in the world. Alternative splicing in a number of genes has been reported to be associated with variable statin response. RNA-seq has proven to be a powerful technique for genome-wide splice variant analysis. In the present study, we sought to investigate atorvastatin responsive splice variants in HepG2 cells using RNA-seq analysis to identify novel candidate genes implicated in cholesterol homeostasis and in the statin response. HepG2 cells were treated with 10 µM atorvastatin for 24 hours. RNA-seq and exon array analyses were performed. The validation of selected genes was performed using Taqman gene expression assays. RNA-seq analysis identified 121 genes and 98 specific splice variants, of which four were minor splice variants to be differentially expressed, 11 were genes with potential changes in their splicing patterns (SYCP3, ZNF195, ZNF674, MYD88, WHSC1, KIF16B, ZNF92, AGER, FCHO1, SLC6A12 and AKAP9), and one was a gene (RAP1GAP) with differential promoter usage. The IL21R transcript was detected to be differentially expressed via RNA-seq and RT-qPCR, but not in the exon array. In conclusion, several novel candidate genes that are affected by atorvastatin treatment were identified in this study. Further studies are needed to determine the biological significance of the atorvastatin responsive splice variants that have been uniquely identified using RNA-seq.</description><subject>Acids</subject><subject>Alternative splicing</subject><subject>Anticholesteremic Agents - pharmacology</subject><subject>Atorvastatin</subject><subject>Biochemistry</subject><subject>Bioinformatics</subject><subject>Biology and Life Sciences</subject><subject>Biosynthesis</subject><subject>Cholesterol</subject><subject>Clinical medicine</subject><subject>Exons</subject><subject>Experiments</subject><subject>Gene expression</subject><subject>Gene Expression - drug effects</subject><subject>Gene sequencing</subject><subject>Genes</subject><subject>Genomes</subject><subject>Genomics</subject><subject>Hep G2 Cells</subject><subject>Hepatocytes - drug effects</subject><subject>Hepatocytes - metabolism</subject><subject>Heptanoic Acids - pharmacology</subject><subject>Homeostasis</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Kinases</subject><subject>Low density lipoprotein</subject><subject>Medicine</subject><subject>Medicine and Health Sciences</subject><subject>MyD88 protein</subject><subject>Pyrroles - pharmacology</subject><subject>Ribonucleic acid</subject><subject>RNA</subject><subject>RNA Splicing</subject><subject>Sequence Analysis, RNA</subject><subject>Statins</subject><subject>Sterols</subject><subject>Transcription</subject><subject>Transcriptome</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>3HK</sourceid><sourceid>DOA</sourceid><recordid>eNp1Uk1vEzEQtRCIlsA_QLAS5w22xx_xBVFV0FaqQEK9W2OvN3W0XQfbadV_z4ZuSnvg5NHMvDdvxo-Q94wuGWj2eZN2ecRhuU1jWFJG5QrUC3LMDPBWcQovn8RH5E0pG0olrJR6TY64ZFMI_Jh8_fXjpC3h9y6MPo7rBifK-xJLk_rmPGzPeOPDMJSm5oA1dM1drNcN1pRvsVSscXxLXvU4lPBufhfk6vu3q9Pz9vLn2cXpyWXrpaS1Vb3XRgP6nqNxvZEmAKdMMNSdpnpFVQeMco8aKNdmauCdY6gYuq73Dhbk4wPtdkjFzrsXy6RU0-6aq6nj4qGjS7ix2xxvMN_bhNH-TaS8tphr9EOwXjAlmBS9Mig0GAcoBBeOo-PgpsyCfJmn7dxN6HwYa8bhGenzyhiv7TrdWsEEAJh_cn2OZbqSHVNGy-hKcis4mL3cT_OInKbrl_qfpcSBJ5WSQ_-ogVG7t8EBZfc2sLMNJtiHp_ofQYd_hz9q4a4v</recordid><startdate>20140825</startdate><enddate>20140825</enddate><creator>Stormo, Camilla</creator><creator>Kringen, Marianne K</creator><creator>Lyle, Robert</creator><creator>Olstad, Ole Kristoffer</creator><creator>Sachse, Daniel</creator><creator>Berg, Jens P</creator><creator>Piehler, Armin P</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>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</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>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>3HK</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20140825</creationdate><title>RNA-sequencing analysis of HepG2 cells treated with atorvastatin</title><author>Stormo, Camilla ; Kringen, Marianne K ; Lyle, Robert ; Olstad, Ole Kristoffer ; Sachse, Daniel ; Berg, Jens P ; Piehler, Armin P</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c550t-6fc7973acf2a9bf959e320141a7d707806d3102ca730279f952db1a61abdfcb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Acids</topic><topic>Alternative splicing</topic><topic>Anticholesteremic Agents - 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The IL21R transcript was detected to be differentially expressed via RNA-seq and RT-qPCR, but not in the exon array. In conclusion, several novel candidate genes that are affected by atorvastatin treatment were identified in this study. Further studies are needed to determine the biological significance of the atorvastatin responsive splice variants that have been uniquely identified using RNA-seq.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>25153832</pmid><doi>10.1371/journal.pone.0105836</doi><oa>free_for_read</oa></addata></record> |
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subjects | Acids Alternative splicing Anticholesteremic Agents - pharmacology Atorvastatin Biochemistry Bioinformatics Biology and Life Sciences Biosynthesis Cholesterol Clinical medicine Exons Experiments Gene expression Gene Expression - drug effects Gene sequencing Genes Genomes Genomics Hep G2 Cells Hepatocytes - drug effects Hepatocytes - metabolism Heptanoic Acids - pharmacology Homeostasis Hospitals Humans Kinases Low density lipoprotein Medicine Medicine and Health Sciences MyD88 protein Pyrroles - pharmacology Ribonucleic acid RNA RNA Splicing Sequence Analysis, RNA Statins Sterols Transcription Transcriptome |
title | RNA-sequencing analysis of HepG2 cells treated with atorvastatin |
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