A systems biology strategy on differential gene expression data discloses some biological features of atrial fibrillation
Atrial fibrillation (AF), the most common cardiac arrhythmia, is associated with extensive structural, contractile, and electrophysiological remodeling. In this manuscript we re-analyzed gene expression data from a microarray experiment on AF patients and control tissues, using a new paradigm based...
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| description | Atrial fibrillation (AF), the most common cardiac arrhythmia, is associated with extensive structural, contractile, and electrophysiological remodeling. In this manuscript we re-analyzed gene expression data from a microarray experiment on AF patients and control tissues, using a new paradigm based on a posteriori unsupervised strategy in which the discrimination of patients comes out from purely syntactical premises. This paradigm, more adherent to biological reality where genes work in highly connected networks, allowed us to get both a very precise patients/control discrimination and the discovery of cell adhesion/tissue modeling and inflammation processes as the main dimensions of AF. |
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In this manuscript we re-analyzed gene expression data from a microarray experiment on AF patients and control tissues, using a new paradigm based on a posteriori unsupervised strategy in which the discrimination of patients comes out from purely syntactical premises. This paradigm, more adherent to biological reality where genes work in highly connected networks, allowed us to get both a very precise patients/control discrimination and the discovery of cell adhesion/tissue modeling and inflammation processes as the main dimensions of AF.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0013668</identifier><identifier>PMID: 21060823</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Analysis ; Arrhythmia ; Atrial fibrillation ; Atrial Fibrillation - genetics ; Biochemistry/Bioinformatics ; Biotechnology/Bioengineering ; Cardiac arrhythmia ; Cardiovascular Disorders/Arrhythmias, Electrophysiology, and Pacing ; Care and treatment ; Cell adhesion ; Data processing ; Datasets ; Discrimination ; DNA microarrays ; Fibrillation ; Gene Expression ; Genes ; Genomics ; Health aspects ; Heart ; Heart diseases ; Heart surgery ; Humans ; Muscle contraction ; Oligonucleotide Array Sequence Analysis ; Patients ; Systems Biology ; Tissues</subject><ispartof>PloS one, 2010-10, Vol.5 (10), p.e13668-e13668</ispartof><rights>COPYRIGHT 2010 Public Library of Science</rights><rights>2010 Censi et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://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. 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In this manuscript we re-analyzed gene expression data from a microarray experiment on AF patients and control tissues, using a new paradigm based on a posteriori unsupervised strategy in which the discrimination of patients comes out from purely syntactical premises. This paradigm, more adherent to biological reality where genes work in highly connected networks, allowed us to get both a very precise patients/control discrimination and the discovery of cell adhesion/tissue modeling and inflammation processes as the main dimensions of AF.</description><subject>Analysis</subject><subject>Arrhythmia</subject><subject>Atrial fibrillation</subject><subject>Atrial Fibrillation - genetics</subject><subject>Biochemistry/Bioinformatics</subject><subject>Biotechnology/Bioengineering</subject><subject>Cardiac arrhythmia</subject><subject>Cardiovascular Disorders/Arrhythmias, Electrophysiology, and Pacing</subject><subject>Care and treatment</subject><subject>Cell adhesion</subject><subject>Data processing</subject><subject>Datasets</subject><subject>Discrimination</subject><subject>DNA microarrays</subject><subject>Fibrillation</subject><subject>Gene Expression</subject><subject>Genes</subject><subject>Genomics</subject><subject>Health aspects</subject><subject>Heart</subject><subject>Heart diseases</subject><subject>Heart surgery</subject><subject>Humans</subject><subject>Muscle contraction</subject><subject>Oligonucleotide Array Sequence Analysis</subject><subject>Patients</subject><subject>Systems Biology</subject><subject>Tissues</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNk12L1DAUhoso7rr6D0QLguLFjPlo0vRGGBY_BhYW_LoNaXrSydBpxiSVnX9v6nSXqSwovWhInvfNyZucLHuO0RLTEr_busH3qlvuXQ9LhDDlXDzIznFFyYITRB-ejM-yJyFsEWJUcP44OyMYcSQIPc8OqzwcQoRdyGvrOtce8hC9ipAGrs8bawx46KNVXd5CDznc7D2EYMdFFVUigu5cgJAHt4PJxOqEG1BxSGzuTK6iHx2Mrb3tOhWT_Gn2yKguwLPpf5F9__jh2-XnxdX1p_Xl6mqhS0LjAtOGcyZKLcoauDDKaKUUbwzmnOqq0MArEKIEzThWNRE1oaw0ja6ahjBK6EX28ui7T2XKKbUgMakIroqK0kSsj0Tj1Fbuvd0pf5BOWflnwvlWKh-t7kAqIAVDrC6YQQWipCa1YIjiCpqiaVCRvN5Puw31DhqdovOqm5nOV3q7ka37JUmVzlONxbyZDLz7OUCIcpcShhRaD24IsmIFq4hA5J9kySlhglGeyFd_kffHMFGtSie1vXGpQD16ylVRUlFgQstELe-h0tfAzur0Fo1N8zPB25kgMRFuYquGEOT665f_Z69_zNnXJ-wGVBc3wXXD-LbCHCyOoPYuBA_m7jYwkmMr3aYhx1aSUysl2YvTm7wT3fYO_Q1wphrd</recordid><startdate>20101029</startdate><enddate>20101029</enddate><creator>Censi, Federica</creator><creator>Calcagnini, Giovanni</creator><creator>Bartolini, Pietro</creator><creator>Giuliani, Alessandro</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>IOV</scope><scope>ISR</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>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>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20101029</creationdate><title>A systems biology strategy on differential gene expression data discloses some biological features of atrial fibrillation</title><author>Censi, Federica ; Calcagnini, Giovanni ; Bartolini, Pietro ; Giuliani, Alessandro</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c723t-13d66587c87be68fafcaaa6df1663c94ce69e887ec561ab28b2357fdc9dd25323</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Analysis</topic><topic>Arrhythmia</topic><topic>Atrial fibrillation</topic><topic>Atrial Fibrillation - 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In this manuscript we re-analyzed gene expression data from a microarray experiment on AF patients and control tissues, using a new paradigm based on a posteriori unsupervised strategy in which the discrimination of patients comes out from purely syntactical premises. This paradigm, more adherent to biological reality where genes work in highly connected networks, allowed us to get both a very precise patients/control discrimination and the discovery of cell adhesion/tissue modeling and inflammation processes as the main dimensions of AF.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>21060823</pmid><doi>10.1371/journal.pone.0013668</doi><tpages>e13668</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Analysis Arrhythmia Atrial fibrillation Atrial Fibrillation - genetics Biochemistry/Bioinformatics Biotechnology/Bioengineering Cardiac arrhythmia Cardiovascular Disorders/Arrhythmias, Electrophysiology, and Pacing Care and treatment Cell adhesion Data processing Datasets Discrimination DNA microarrays Fibrillation Gene Expression Genes Genomics Health aspects Heart Heart diseases Heart surgery Humans Muscle contraction Oligonucleotide Array Sequence Analysis Patients Systems Biology Tissues |
| title | A systems biology strategy on differential gene expression data discloses some biological features of atrial fibrillation |
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