A systems biology analysis of brain microvascular endothelial cell lipotoxicity

Background Neurovascular inflammation is associated with a number of neurological diseases including vascular dementia and Alzheimer’s disease, which are increasingly important causes of morbidity and mortality around the world. Lipotoxicity is a metabolic disorder that results from accumulation of...

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Published in:	BMC systems biology Vol. 8; no. 1; p. 80
Main Authors:	Aung, Hnin H, Tsoukalas, Athanasios, Rutledge, John C, Tagkopoulos, Ilias
Format:	Journal Article
Language:	English
Published:	London BioMed Central 04.07.2014 BioMed Central Ltd
Subjects:	Activating Transcription Factor 3 - metabolism Adipose tissue Algorithms Alzheimer's disease Apoptosis - drug effects Bioinformatics Biomedical and Life Sciences Brain - blood supply Cell death Cellular and Medical Topics Cognitive ability Colleges & universities Computational Biology/Bioinformatics Dementia Dementia disorders DNA binding proteins Endothelial Cells - drug effects Endothelial Cells - metabolism Endothelium Gene Expression Regulation - drug effects Genes Genetic transcription Genomes Health aspects Humans Life Sciences Lipid Metabolism - drug effects Lipids Lipolysis - drug effects Lipoproteins - chemistry Lipoproteins - pharmacology Metabolic Diseases - metabolism Metabolic Diseases - pathology Metabolic disorders Microvessels - pathology Ontology pharmacology and medicine Physiological Proteins Research Article Signal Transduction - drug effects Simulation and Modeling Statistical methods Systems Biology Systems physiology Transcription factors Triglycerides - chemistry Microarray Activating transcription factor 3 Triglyceride-rich lipoprotein Blood–brain barrier
ISSN:	1752-0509, 1752-0509
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Abstract	Background Neurovascular inflammation is associated with a number of neurological diseases including vascular dementia and Alzheimer’s disease, which are increasingly important causes of morbidity and mortality around the world. Lipotoxicity is a metabolic disorder that results from accumulation of lipids, particularly fatty acids, in non-adipose tissue leading to cellular dysfunction, lipid droplet formation, and cell death. Results Our studies indicate for the first time that the neurovascular circulation also can manifest lipotoxicity, which could have major effects on cognitive function. The penetration of integrative systems biology approaches is limited in this area of research, which reduces our capacity to gain an objective insight into the signal transduction and regulation dynamics at a systems level. To address this question, we treated human microvascular endothelial cells with triglyceride-rich lipoprotein (TGRL) lipolysis products and then we used genome-wide transcriptional profiling to obtain transcript abundances over four conditions. We then identified regulatory genes and their targets that have been differentially expressed through analysis of the datasets with various statistical methods. We created a functional gene network by exploiting co-expression observations through a guilt-by-association assumption. Concomitantly, we used various network inference algorithms to identify putative regulatory interactions and we integrated all predictions to construct a consensus gene regulatory network that is TGRL lipolysis product specific. Conclusion System biology analysis has led to the validation of putative lipid-related targets and the discovery of several genes that may be implicated in lipotoxic-related brain microvascular endothelial cell responses. Here, we report that activating transcription factors 3 (ATF3) is a principal regulator of TGRL lipolysis products-induced gene expression in human brain microvascular endothelial cell.
AbstractList	Neurovascular inflammation is associated with a number of neurological diseases including vascular dementia and Alzheimer's disease, which are increasingly important causes of morbidity and mortality around the world. Lipotoxicity is a metabolic disorder that results from accumulation of lipids, particularly fatty acids, in non-adipose tissue leading to cellular dysfunction, lipid droplet formation, and cell death.BACKGROUNDNeurovascular inflammation is associated with a number of neurological diseases including vascular dementia and Alzheimer's disease, which are increasingly important causes of morbidity and mortality around the world. Lipotoxicity is a metabolic disorder that results from accumulation of lipids, particularly fatty acids, in non-adipose tissue leading to cellular dysfunction, lipid droplet formation, and cell death.Our studies indicate for the first time that the neurovascular circulation also can manifest lipotoxicity, which could have major effects on cognitive function. The penetration of integrative systems biology approaches is limited in this area of research, which reduces our capacity to gain an objective insight into the signal transduction and regulation dynamics at a systems level. To address this question, we treated human microvascular endothelial cells with triglyceride-rich lipoprotein (TGRL) lipolysis products and then we used genome-wide transcriptional profiling to obtain transcript abundances over four conditions. We then identified regulatory genes and their targets that have been differentially expressed through analysis of the datasets with various statistical methods. We created a functional gene network by exploiting co-expression observations through a guilt-by-association assumption. Concomitantly, we used various network inference algorithms to identify putative regulatory interactions and we integrated all predictions to construct a consensus gene regulatory network that is TGRL lipolysis product specific.RESULTSOur studies indicate for the first time that the neurovascular circulation also can manifest lipotoxicity, which could have major effects on cognitive function. The penetration of integrative systems biology approaches is limited in this area of research, which reduces our capacity to gain an objective insight into the signal transduction and regulation dynamics at a systems level. To address this question, we treated human microvascular endothelial cells with triglyceride-rich lipoprotein (TGRL) lipolysis products and then we used genome-wide transcriptional profiling to obtain transcript abundances over four conditions. We then identified regulatory genes and their targets that have been differentially expressed through analysis of the datasets with various statistical methods. We created a functional gene network by exploiting co-expression observations through a guilt-by-association assumption. Concomitantly, we used various network inference algorithms to identify putative regulatory interactions and we integrated all predictions to construct a consensus gene regulatory network that is TGRL lipolysis product specific.System biology analysis has led to the validation of putative lipid-related targets and the discovery of several genes that may be implicated in lipotoxic-related brain microvascular endothelial cell responses. Here, we report that activating transcription factors 3 (ATF3) is a principal regulator of TGRL lipolysis products-induced gene expression in human brain microvascular endothelial cell.CONCLUSIONSystem biology analysis has led to the validation of putative lipid-related targets and the discovery of several genes that may be implicated in lipotoxic-related brain microvascular endothelial cell responses. Here, we report that activating transcription factors 3 (ATF3) is a principal regulator of TGRL lipolysis products-induced gene expression in human brain microvascular endothelial cell. Neurovascular inflammation is associated with a number of neurological diseases including vascular dementia and Alzheimer's disease, which are increasingly important causes of morbidity and mortality around the world. Lipotoxicity is a metabolic disorder that results from accumulation of lipids, particularly fatty acids, in non-adipose tissue leading to cellular dysfunction, lipid droplet formation, and cell death. Our studies indicate for the first time that the neurovascular circulation also can manifest lipotoxicity, which could have major effects on cognitive function. The penetration of integrative systems biology approaches is limited in this area of research, which reduces our capacity to gain an objective insight into the signal transduction and regulation dynamics at a systems level. To address this question, we treated human microvascular endothelial cells with triglyceride-rich lipoprotein (TGRL) lipolysis products and then we used genome-wide transcriptional profiling to obtain transcript abundances over four conditions. We then identified regulatory genes and their targets that have been differentially expressed through analysis of the datasets with various statistical methods. We created a functional gene network by exploiting co-expression observations through a guilt-by-association assumption. Concomitantly, we used various network inference algorithms to identify putative regulatory interactions and we integrated all predictions to construct a consensus gene regulatory network that is TGRL lipolysis product specific. System biology analysis has led to the validation of putative lipid-related targets and the discovery of several genes that may be implicated in lipotoxic-related brain microvascular endothelial cell responses. Here, we report that activating transcription factors 3 (ATF3) is a principal regulator of TGRL lipolysis products-induced gene expression in human brain microvascular endothelial cell. Background Neurovascular inflammation is associated with a number of neurological diseases including vascular dementia and Alzheimer’s disease, which are increasingly important causes of morbidity and mortality around the world. Lipotoxicity is a metabolic disorder that results from accumulation of lipids, particularly fatty acids, in non-adipose tissue leading to cellular dysfunction, lipid droplet formation, and cell death. Results Our studies indicate for the first time that the neurovascular circulation also can manifest lipotoxicity, which could have major effects on cognitive function. The penetration of integrative systems biology approaches is limited in this area of research, which reduces our capacity to gain an objective insight into the signal transduction and regulation dynamics at a systems level. To address this question, we treated human microvascular endothelial cells with triglyceride-rich lipoprotein (TGRL) lipolysis products and then we used genome-wide transcriptional profiling to obtain transcript abundances over four conditions. We then identified regulatory genes and their targets that have been differentially expressed through analysis of the datasets with various statistical methods. We created a functional gene network by exploiting co-expression observations through a guilt-by-association assumption. Concomitantly, we used various network inference algorithms to identify putative regulatory interactions and we integrated all predictions to construct a consensus gene regulatory network that is TGRL lipolysis product specific. Conclusion System biology analysis has led to the validation of putative lipid-related targets and the discovery of several genes that may be implicated in lipotoxic-related brain microvascular endothelial cell responses. Here, we report that activating transcription factors 3 (ATF3) is a principal regulator of TGRL lipolysis products-induced gene expression in human brain microvascular endothelial cell. Background Neurovascular inflammation is associated with a number of neurological diseases including vascular dementia and Alzheimer's disease, which are increasingly important causes of morbidity and mortality around the world. Lipotoxicity is a metabolic disorder that results from accumulation of lipids, particularly fatty acids, in non-adipose tissue leading to cellular dysfunction, lipid droplet formation, and cell death. Results Our studies indicate for the first time that the neurovascular circulation also can manifest lipotoxicity, which could have major effects on cognitive function. The penetration of integrative systems biology approaches is limited in this area of research, which reduces our capacity to gain an objective insight into the signal transduction and regulation dynamics at a systems level. To address this question, we treated human microvascular endothelial cells with triglyceride-rich lipoprotein (TGRL) lipolysis products and then we used genome-wide transcriptional profiling to obtain transcript abundances over four conditions. We then identified regulatory genes and their targets that have been differentially expressed through analysis of the datasets with various statistical methods. We created a functional gene network by exploiting co-expression observations through a guilt-by-association assumption. Concomitantly, we used various network inference algorithms to identify putative regulatory interactions and we integrated all predictions to construct a consensus gene regulatory network that is TGRL lipolysis product specific. Conclusion System biology analysis has led to the validation of putative lipid-related targets and the discovery of several genes that may be implicated in lipotoxic-related brain microvascular endothelial cell responses. Here, we report that activating transcription factors 3 (ATF3) is a principal regulator of TGRL lipolysis products-induced gene expression in human brain microvascular endothelial cell. Keywords: Activating transcription factor 3, Microarray, Triglyceride-rich lipoprotein, Blood-brain barrier Neurovascular inflammation is associated with a number of neurological diseases including vascular dementia and Alzheimer's disease, which are increasingly important causes of morbidity and mortality around the world. Lipotoxicity is a metabolic disorder that results from accumulation of lipids, particularly fatty acids, in non-adipose tissue leading to cellular dysfunction, lipid droplet formation, and cell death. Our studies indicate for the first time that the neurovascular circulation also can manifest lipotoxicity, which could have major effects on cognitive function. The penetration of integrative systems biology approaches is limited in this area of research, which reduces our capacity to gain an objective insight into the signal transduction and regulation dynamics at a systems level. To address this question, we treated human microvascular endothelial cells with triglyceride-rich lipoprotein (TGRL) lipolysis products and then we used genome-wide transcriptional profiling to obtain transcript abundances over four conditions. We then identified regulatory genes and their targets that have been differentially expressed through analysis of the datasets with various statistical methods. We created a functional gene network by exploiting co-expression observations through a guilt-by-association assumption. Concomitantly, we used various network inference algorithms to identify putative regulatory interactions and we integrated all predictions to construct a consensus gene regulatory network that is TGRL lipolysis product specific. System biology analysis has led to the validation of putative lipid-related targets and the discovery of several genes that may be implicated in lipotoxic-related brain microvascular endothelial cell responses. Here, we report that activating transcription factors 3 (ATF3) is a principal regulator of TGRL lipolysis products-induced gene expression in human brain microvascular endothelial cell. Doc number: 80 Abstract Background: Neurovascular inflammation is associated with a number of neurological diseases including vascular dementia and Alzheimer's disease, which are increasingly important causes of morbidity and mortality around the world. Lipotoxicity is a metabolic disorder that results from accumulation of lipids, particularly fatty acids, in non-adipose tissue leading to cellular dysfunction, lipid droplet formation, and cell death. Results: Our studies indicate for the first time that the neurovascular circulation also can manifest lipotoxicity, which could have major effects on cognitive function. The penetration of integrative systems biology approaches is limited in this area of research, which reduces our capacity to gain an objective insight into the signal transduction and regulation dynamics at a systems level. To address this question, we treated human microvascular endothelial cells with triglyceride-rich lipoprotein (TGRL) lipolysis products and then we used genome-wide transcriptional profiling to obtain transcript abundances over four conditions. We then identified regulatory genes and their targets that have been differentially expressed through analysis of the datasets with various statistical methods. We created a functional gene network by exploiting co-expression observations through a guilt-by-association assumption. Concomitantly, we used various network inference algorithms to identify putative regulatory interactions and we integrated all predictions to construct a consensus gene regulatory network that is TGRL lipolysis product specific. Conclusion: System biology analysis has led to the validation of putative lipid-related targets and the discovery of several genes that may be implicated in lipotoxic-related brain microvascular endothelial cell responses. Here, we report that activating transcription factors 3 (ATF3) is a principal regulator of TGRL lipolysis products-induced gene expression in human brain microvascular endothelial cell. Background: Neurovascular inflammation is associated with a number of neurological diseases including vascular dementia and Alzheimer's disease, which are increasingly important causes of morbidity and mortality around the world. Lipotoxicity is a metabolic disorder that results from accumulation of lipids, particularly fatty acids, in non-adipose tissue leading to cellular dysfunction, lipid droplet formation, and cell death. Results: Our studies indicate for the first time that the neurovascular circulation also can manifest lipotoxicity, which could have major effects on cognitive function. The penetration of integrative systems biology approaches is limited in this area of research, which reduces our capacity to gain an objective insight into the signal transduction and regulation dynamics at a systems level. To address this question, we treated human microvascular endothelial cells with triglyceride-rich lipoprotein (TGRL) lipolysis products and then we used genome-wide transcriptional profiling to obtain transcript abundances over four conditions. We then identified regulatory genes and their targets that have been differentially expressed through analysis of the datasets with various statistical methods. We created a functional gene network by exploiting co-expression observations through a guilt-by-association assumption. Concomitantly, we used various network inference algorithms to identify putative regulatory interactions and we integrated all predictions to construct a consensus gene regulatory network that is TGRL lipolysis product specific. Conclusion: System biology analysis has led to the validation of putative lipid-related targets and the discovery of several genes that may be implicated in lipotoxic-related brain microvascular endothelial cell responses. Here, we report that activating transcription factors 3 (ATF3) is a principal regulator of TGRL lipolysis products-induced gene expression in human brain microvascular endothelial cell.
ArticleNumber	80
Audience	Academic
Author	Tagkopoulos, Ilias Tsoukalas, Athanasios Aung, Hnin H Rutledge, John C
AuthorAffiliation	1 Division of Cardiovascular Medicine, Department of Internal Medicine, University of California, Davis, CA 95616, USA 2 UC Davis Genome Center, University of California, Davis, CA 95616, USA 3 Department of Computer Science, University of California, Davis, CA 95616, USA
AuthorAffiliation_xml	– name: 2 UC Davis Genome Center, University of California, Davis, CA 95616, USA – name: 3 Department of Computer Science, University of California, Davis, CA 95616, USA – name: 1 Division of Cardiovascular Medicine, Department of Internal Medicine, University of California, Davis, CA 95616, USA
Author_xml	– sequence: 1 givenname: Hnin H surname: Aung fullname: Aung, Hnin H organization: Division of Cardiovascular Medicine, Department of Internal Medicine, University of California – sequence: 2 givenname: Athanasios surname: Tsoukalas fullname: Tsoukalas, Athanasios organization: UC Davis Genome Center, University of California, Department of Computer Science, University of California – sequence: 3 givenname: John C surname: Rutledge fullname: Rutledge, John C organization: Division of Cardiovascular Medicine, Department of Internal Medicine, University of California – sequence: 4 givenname: Ilias surname: Tagkopoulos fullname: Tagkopoulos, Ilias email: iliast@ucdavis.edu organization: UC Davis Genome Center, University of California, Department of Computer Science, University of California
BackLink	https://www.ncbi.nlm.nih.gov/pubmed/24993133$$D View this record in MEDLINE/PubMed
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Cites_doi	10.1074/jbc.M111.276311 10.1093/bioinformatics/btn492 10.1056/NEJMc1305541 10.3727/105221610X12819686555015 10.1093/bioinformatics/btl361 10.1093/bioinformatics/bti583 10.1161/ATVBAHA.112.300415 10.1186/1471-2105-14-137 10.1016/j.bbadis.2010.12.016 10.1161/01.RES.0000258023.76515.a3 10.1093/bioinformatics/btq089 10.1016/j.canlet.2009.11.015 10.1042/bj3390135 10.1093/bioinformatics/btg405 10.1093/nar/gkn923 10.1016/j.cell.2013.03.030 10.1016/j.molimm.2006.08.006 10.1158/1078-0432.CCR-10-0825 10.1006/meth.2001.1262 10.1126/science.7824938 10.1016/j.ejmech.2011.01.059 10.1152/physiolgenomics.00051.2011 10.1016/S1097-2765(00)80467-0 10.1073/pnas.0605457103 10.1007/s00125-012-2594-1 10.1074/jbc.M803342200 10.1016/j.jns.2013.01.020 10.1172/JCI66056 10.1136/amiajnl-2013-001815 10.1210/en.2011-0109 10.1073/pnas.88.9.3511 10.1016/j.atherosclerosis.2006.09.015 10.1111/j.1356-9597.2004.00707.x 10.1161/01.ATV.0000242903.41158.a1 10.1093/bioinformatics/btn161 10.1016/S0021-9258(18)47229-8 10.1007/0-387-34239-7 10.1016/S1097-2765(00)00108-8 10.1074/jbc.M112.392332 10.1111/j.1749-6632.2003.tb03219.x 10.4049/jimmunol.179.6.3622 10.1128/MCB.16.3.1157 10.1074/jbc.M110.145516 10.1007/s10456-005-5612-9 10.1007/s00109-007-0170-9 10.4061/2011/603052 10.1074/jbc.271.29.17354 10.1371/journal.pone.0004478 10.1038/nature04768 10.1074/jbc.M508492200 10.1038/sj.onc.1208237 10.1038/sj.emboj.7600065 10.1093/bioinformatics/btn273 10.1038/sj.emboj.7600742 10.1016/j.yjmcc.2006.01.022 10.1007/s00125-010-1696-x 10.1038/ng.1081 10.1194/jlr.M700505-JLR200 10.1186/1471-2105-10-211 10.1161/ATVBAHA.113.301375 10.1128/MCB.20.14.5119-5128.2000 10.1038/icb.2010.148 10.1016/0092-8674(94)90380-8 10.1042/CS20100094 10.4161/chan.20865 10.1038/nprot.2008.211 10.1074/jbc.M700078200 10.2174/1874467211205020272 10.1158/0008-5472.CAN-05-1208
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Copyright	Aung et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver ( ) applies to the data made available in this article, unless otherwise stated. COPYRIGHT 2014 BioMed Central Ltd. 2014 Aung et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. Copyright © 2014 Aung et al.; licensee BioMed Central Ltd. 2014 Aung et al.; licensee BioMed Central Ltd.
Copyright_xml	– notice: Aung et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver ( ) applies to the data made available in this article, unless otherwise stated. – notice: COPYRIGHT 2014 BioMed Central Ltd. – notice: 2014 Aung et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. – notice: Copyright © 2014 Aung et al.; licensee BioMed Central Ltd. 2014 Aung et al.; licensee BioMed Central Ltd.
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Keywords	Microarray Activating transcription factor 3 Triglyceride-rich lipoprotein Blood–brain barrier
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References	G Zhou (1351_CR16) 2012; 122 V Vapnik (1351_CR76) 2006 JS Huo (1351_CR45) 2006; 281 PS Gargalovic (1351_CR50) 2006; 26 Q Yang (1351_CR18) 2007; 85 D Beisser (1351_CR6) 2010; 26 B Zhou (1351_CR15) 2012; 287 CH Khuu (1351_CR38) 2007; 44 CJ Shawber (1351_CR75) 2003; 995 NS Patel (1351_CR74) 2005; 65 I Tagkopoulos (1351_CR60) 2005 DW Huang (1351_CR36) 2009; 37 PS Gargalovic (1351_CR49) 2006; 22 F Mordelet (1351_CR8) 2008; 24 JM Peters (1351_CR21) 2000; 20 L Gautier (1351_CR63) 2004; 20 MT Dittrich (1351_CR7) 2008; 24 M Rosell (1351_CR26) 2011; 1812 HP Harding (1351_CR48) 2000; 6 R Altman (1351_CR3) 2010; 119 HJ Ting (1351_CR56) 2007; 100 RD Pearson (1351_CR65) 2009; 10 L Zhang (1351_CR67) 2009; 1–4 DW Huang (1351_CR35) 2009; 4 Y Liang (1351_CR59) 2012; 287 MM Whitmore (1351_CR40) 2007; 179 X Liu (1351_CR64) 2005; 21 E Prifti (1351_CR68) 2008; 24 S Chen (1351_CR24) 2010; 285 C Altier (1351_CR32) 2012; 6 RV Schillace (1351_CR33) 2011; 89 JC Hsu (1351_CR42) 1991; 88 J Xue (1351_CR27) 2013; 121 CM Pombo (1351_CR12) 1994; 269 JH Kwon (1351_CR31) 2010; 16 C Bellenguez (1351_CR53) 2012; 44 T Hai (1351_CR9) 2010; 15 K Inoue (1351_CR43) 2004; 9 X Liu (1351_CR66) 2006; 22 F Itoh (1351_CR71) 2004; 23 S Gupta (1351_CR10) 1995; 267 GD Norata (1351_CR55) 2007; 193 BP Chen (1351_CR13) 1996; 16 D Lee (1351_CR30) 2010; 292 V Easwaran (1351_CR70) 2003; 63 GD Norata (1351_CR54) 2006; 40 B Derijard (1351_CR11) 1994; 76 HH Aung (1351_CR5) 2013; 33 TNH Masckauchan (1351_CR73) 2005; 8 G Derosa (1351_CR19) 2012; 5 JV Rushworth (1351_CR23) 2010; 2011 D Kaluza (1351_CR52) 2013; 33 KJ Livak (1351_CR62) 2001; 25 CM Hsieh (1351_CR28) 1996; 271 T Kálai (1351_CR51) 2011; 46 RL Clifford (1351_CR69) 2008; 283 L Wang (1351_CR4) 2009; 50 J He (1351_CR25) 2013; 326 A Pavlogiannis (1351_CR57) 2013; 14 MM Pallebage-Gamarallage (1351_CR2) 2012; 2012 L Huo (1351_CR34) 2013; 19 KA Michaelis (1351_CR29) 2011; 152 HE Xu (1351_CR20) 1999; 3 T Hai (1351_CR47) 1999; 7 B Zhang (1351_CR41) 2013; 153 MD Hurd (1351_CR1) 2013; 369 TW Fawcett (1351_CR46) 1999; 339 Y Chen (1351_CR14) 2012; 55 TH Kim (1351_CR72) 2005; 24 M Gilchrist (1351_CR39) 2006; 441 K Essafi-Benkhadir (1351_CR22) 2009; 4 EJ Zmuda (1351_CR37) 2010; 53 E Gultepe (1351_CR58) 2014; 21 HH Aung (1351_CR61) 2011; 43 A Hamik (1351_CR17) 2007; 282 K Tamura (1351_CR44) 2005; 24 16688168 - Nature. 2006 May 11;441(7090):173-8 18952601 - J Biol Chem. 2008 Dec 19;283(51):35337-53 20851854 - Clin Cancer Res. 2010 Nov 15;16(22):5511-21 18689844 - Bioinformatics. 2008 Aug 15;24(16):i76-82 12814948 - Ann N Y Acad Sci. 2003 May;995:162-70 23288173 - Arterioscler Thromb Vasc Biol. 2013 Mar;33(3):533-43 14723708 - Genes Cells. 2004 Jan;9(1):59-70 16820429 - Bioinformatics. 2006 Sep 1;22(17):2107-13 17356846 - J Mol Med (Berl). 2007 Jul;85(7):697-706 8622660 - Mol Cell Biol. 1996 Mar;16(3):1157-68 19589155 - BMC Bioinformatics. 2009;10:211 21652769 - Physiol Genomics. 2011 Aug 16;43(15):917-29 21221125 - Immunol Cell Biol. 2011 Jul;89(5):650-8 21193034 - Biochim Biophys Acta. 2011 Aug;1812(8):919-28 21810943 - Endocrinology. 2011 Oct;152(10):3603-13 14739937 - EMBO J. 2004 Feb 11;23(3):541-51 22241478 - J Biol Chem. 2012 Mar 2;287(10):7026-38 16020470 - Bioinformatics. 2005 Sep 15;21(18):3637-44 22121489 - Int J Vasc Med. 2012;2012:647689 10866668 - Mol Cell Biol. 2000 Jul;20(14):5119-28 7824938 - Science. 1995 Jan 20;267(5196):389-93 10085237 - Biochem J. 1999 Apr 1;339 ( Pt 1):135-41 19212434 - PLoS One. 2009;4(2):e4478 16931790 - Arterioscler Thromb Vasc Biol. 2006 Nov;26(11):2490-6 20684749 - Clin Sci (Lond). 2010 Nov;119(10):407-21 18812596 - J Lipid Res. 2009 Feb;50(2):204-13 18799481 - Bioinformatics. 2008 Nov 15;24(22):2636-8 22956256 - Exp Clin Endocrinol Diabetes. 2013 Jan;121(1):37-42 17339326 - J Biol Chem. 2007 May 4;282(18):13769-79 21061913 - Gene Expr. 2010;15(1):1-11 8663449 - J Biol Chem. 1996 Jul 19;271(29):17354-9 18586718 - Bioinformatics. 2008 Jul 1;24(13):i223-31 16326703 - J Biol Chem. 2006 Feb 17;281(7):4132-41 12810642 - Cancer Res. 2003 Jun 15;63(12):3145-53 22306652 - Nat Genet. 2012 Mar;44(3):328-33 7929379 - J Biol Chem. 1994 Oct 21;269(42):26546-51 8137421 - Cell. 1994 Mar 25;76(6):1025-37 23959843 - J Am Med Inform Assoc. 2014 Mar-Apr;21(2):315-25 16516917 - J Mol Cell Cardiol. 2006 Apr;40(4):484-94 11106749 - Mol Cell. 2000 Nov;6(5):1099-108 20189939 - Bioinformatics. 2010 Apr 15;26(8):1129-30 20349223 - Diabetologia. 2010 Jul;53(7):1438-50 20036050 - Cancer Lett. 2010 Jun 1;292(1):125-32 19033363 - Nucleic Acids Res. 2009 Jan;37(1):1-13 23868936 - Arterioscler Thromb Vasc Biol. 2013 Sep;33(9):2088-96 23399523 - J Neurol Sci. 2013 Mar 15;326(1-2):89-95 11846609 - Methods. 2001 Dec;25(4):402-8 10440233 - Gene Expr. 1999;7(4-6):321-35 22677788 - Channels (Austin). 2012 May-Jun;6(3):157-65 20576610 - J Biol Chem. 2010 Aug 20;285(34):26377-83 15990869 - EMBO J. 2005 Jul 20;24(14):2590-601 23160196 - J Clin Invest. 2012 Dec;122(12):4727-31 22660795 - Diabetologia. 2012 Sep;55(9):2533-45 16912112 - Proc Natl Acad Sci U S A. 2006 Aug 22;103(34):12741-6 17785797 - J Immunol. 2007 Sep 15;179(6):3622-30 22122457 - Curr Mol Pharmacol. 2012 Jun;5(2):272-81 23902508 - N Engl J Med. 2013 Aug 1;369(5):489-90 22875853 - J Biol Chem. 2012 Sep 28;287(40):33533-44 23946634 - Mol Vis. 2013;19:1795-803 17055512 - Atherosclerosis. 2007 Aug;193(2):321-7 21333407 - Eur J Med Chem. 2011 Apr;46(4):1348-55 16982098 - Mol Immunol. 2007 Mar;44(7):1598-605 17234968 - Circ Res. 2007 Feb 16;100(3):381-90 16204037 - Cancer Res. 2005 Oct 1;65(19):8690-7 10198642 - Mol Cell. 1999 Mar;3(3):397-403 1902565 - Proc Natl Acad Sci U S A. 1991 May 1;88(9):3511-5 23622250 - Cell. 2013 Apr 25;153(3):707-20 23617932 - BMC Bioinformatics. 2013;14:137 15558022 - Oncogene. 2005 Jan 20;24(4):597-604 21234417 - Int J Alzheimers Dis. 2010 Dec 27;2011:603052 16132617 - Angiogenesis. 2005;8(1):43-51 14960456 - Bioinformatics. 2004 Feb 12;20(3):307-15 19131956 - Nat Protoc. 2009;4(1):44-57
References_xml	– volume: 287 start-page: 7026 issue: 10 year: 2012 ident: 1351_CR15 publication-title: J Biol Chem doi: 10.1074/jbc.M111.276311 – volume: 24 start-page: 2636 issue: 22 year: 2008 ident: 1351_CR68 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btn492 – volume: 369 start-page: 489 issue: 5 year: 2013 ident: 1351_CR1 publication-title: N Engl J Med doi: 10.1056/NEJMc1305541 – volume: 15 start-page: 1 issue: 1 year: 2010 ident: 1351_CR9 publication-title: Gene Expr doi: 10.3727/105221610X12819686555015 – volume: 22 start-page: 2107 issue: 17 year: 2006 ident: 1351_CR66 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btl361 – volume: 21 start-page: 3637 issue: 18 year: 2005 ident: 1351_CR64 publication-title: Bioinformatics doi: 10.1093/bioinformatics/bti583 – volume: 33 start-page: 533 issue: 3 year: 2013 ident: 1351_CR52 publication-title: Arterioscler Thromb Vasc Biol doi: 10.1161/ATVBAHA.112.300415 – volume: 14 start-page: 137 year: 2013 ident: 1351_CR57 publication-title: BMC Bioinformatics doi: 10.1186/1471-2105-14-137 – volume: 1812 start-page: 919 issue: 8 year: 2011 ident: 1351_CR26 publication-title: Biochim Biophys Acta doi: 10.1016/j.bbadis.2010.12.016 – volume: 100 start-page: 381 issue: 3 year: 2007 ident: 1351_CR56 publication-title: Circ Res doi: 10.1161/01.RES.0000258023.76515.a3 – volume: 26 start-page: 1129 issue: 8 year: 2010 ident: 1351_CR6 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btq089 – volume: 292 start-page: 125 issue: 1 year: 2010 ident: 1351_CR30 publication-title: Cancer Lett doi: 10.1016/j.canlet.2009.11.015 – volume: 2012 start-page: 647689 year: 2012 ident: 1351_CR2 publication-title: Int J Vasc Med – volume: 339 start-page: 135 issue: Pt 1 year: 1999 ident: 1351_CR46 publication-title: Biochem J doi: 10.1042/bj3390135 – volume: 63 start-page: 3145 issue: 12 year: 2003 ident: 1351_CR70 publication-title: Cancer Res – volume: 20 start-page: 307 issue: 3 year: 2004 ident: 1351_CR63 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btg405 – volume: 37 start-page: 1 issue: 1 year: 2009 ident: 1351_CR36 publication-title: Nucleic Acids Res doi: 10.1093/nar/gkn923 – volume: 153 start-page: 707 issue: 3 year: 2013 ident: 1351_CR41 publication-title: Cell doi: 10.1016/j.cell.2013.03.030 – volume: 44 start-page: 1598 issue: 7 year: 2007 ident: 1351_CR38 publication-title: Mol Immunol doi: 10.1016/j.molimm.2006.08.006 – volume: 16 start-page: 5511 issue: 22 year: 2010 ident: 1351_CR31 publication-title: Clin Cancer Res doi: 10.1158/1078-0432.CCR-10-0825 – volume: 25 start-page: 402 issue: 4 year: 2001 ident: 1351_CR62 publication-title: Methods doi: 10.1006/meth.2001.1262 – volume: 267 start-page: 389 issue: 5196 year: 1995 ident: 1351_CR10 publication-title: Science doi: 10.1126/science.7824938 – volume: 46 start-page: 1348 issue: 4 year: 2011 ident: 1351_CR51 publication-title: Eur J Med Chem doi: 10.1016/j.ejmech.2011.01.059 – volume: 43 start-page: 917 issue: 15 year: 2011 ident: 1351_CR61 publication-title: Physiol Genomics doi: 10.1152/physiolgenomics.00051.2011 – volume: 3 start-page: 397 issue: 3 year: 1999 ident: 1351_CR20 publication-title: Mol Cell doi: 10.1016/S1097-2765(00)80467-0 – volume: 22 start-page: 12741 issue: 103(34) year: 2006 ident: 1351_CR49 publication-title: Proc Natl Acad Sci U S A doi: 10.1073/pnas.0605457103 – volume: 55 start-page: 2533 issue: 9 year: 2012 ident: 1351_CR14 publication-title: Diabetologia doi: 10.1007/s00125-012-2594-1 – volume: 283 start-page: 35337 issue: 51 year: 2008 ident: 1351_CR69 publication-title: J Biol Chem doi: 10.1074/jbc.M803342200 – volume: 7 start-page: 321 issue: 4–6 year: 1999 ident: 1351_CR47 publication-title: Gene Expr – volume: 326 start-page: 89 issue: 1–2 year: 2013 ident: 1351_CR25 publication-title: J Neurol Sci doi: 10.1016/j.jns.2013.01.020 – volume: 122 start-page: 4727 issue: 12 year: 2012 ident: 1351_CR16 publication-title: J Clin Invest doi: 10.1172/JCI66056 – volume: 21 start-page: 315 issue: 2 year: 2014 ident: 1351_CR58 publication-title: J Am Med Inform Assoc doi: 10.1136/amiajnl-2013-001815 – volume: 152 start-page: 3603 issue: 10 year: 2011 ident: 1351_CR29 publication-title: Endocrinology doi: 10.1210/en.2011-0109 – volume: 88 start-page: 3511 issue: 9 year: 1991 ident: 1351_CR42 publication-title: Proc Natl Acad Sci U S A doi: 10.1073/pnas.88.9.3511 – volume: 1–4 start-page: 1566 year: 2009 ident: 1351_CR67 publication-title: Proc 2009 2nd Int Conf Biomed Eng Inform – volume: 193 start-page: 321 issue: 2 year: 2007 ident: 1351_CR55 publication-title: Atherosclerosis doi: 10.1016/j.atherosclerosis.2006.09.015 – volume: 9 start-page: 59 issue: 1 year: 2004 ident: 1351_CR43 publication-title: Genes Cells doi: 10.1111/j.1356-9597.2004.00707.x – volume: 26 start-page: 2490 issue: 11 year: 2006 ident: 1351_CR50 publication-title: Arterioscler Thromb Vasc Biol doi: 10.1161/01.ATV.0000242903.41158.a1 – start-page: 89 volume-title: BIBE2005, Proceedings of the 5th IEEE Symposium on Bioengineering and Bioinformatics: 2005 year: 2005 ident: 1351_CR60 – volume: 24 start-page: i223 issue: 13 year: 2008 ident: 1351_CR7 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btn161 – volume: 269 start-page: 26546 issue: 42 year: 1994 ident: 1351_CR12 publication-title: J Biol Chem doi: 10.1016/S0021-9258(18)47229-8 – volume-title: Estimation of Dependences Based on Empirical Data: Empirical Inference Science year: 2006 ident: 1351_CR76 doi: 10.1007/0-387-34239-7 – volume: 6 start-page: 1099 issue: 5 year: 2000 ident: 1351_CR48 publication-title: Mol Cell doi: 10.1016/S1097-2765(00)00108-8 – volume: 287 start-page: 33533 issue: 40 year: 2012 ident: 1351_CR59 publication-title: J Biol Chem doi: 10.1074/jbc.M112.392332 – volume: 19 start-page: 1795 year: 2013 ident: 1351_CR34 publication-title: Mol Vis – volume: 995 start-page: 162 year: 2003 ident: 1351_CR75 publication-title: Ann N Y Acad Sci doi: 10.1111/j.1749-6632.2003.tb03219.x – volume: 179 start-page: 3622 issue: 6 year: 2007 ident: 1351_CR40 publication-title: J Immunol doi: 10.4049/jimmunol.179.6.3622 – volume: 16 start-page: 1157 issue: 3 year: 1996 ident: 1351_CR13 publication-title: Mol Cell Biol doi: 10.1128/MCB.16.3.1157 – volume: 285 start-page: 26377 issue: 34 year: 2010 ident: 1351_CR24 publication-title: J Biol Chem doi: 10.1074/jbc.M110.145516 – volume: 8 start-page: 43 issue: 1 year: 2005 ident: 1351_CR73 publication-title: Angiogenesis doi: 10.1007/s10456-005-5612-9 – volume: 85 start-page: 697 issue: 7 year: 2007 ident: 1351_CR18 publication-title: J Mol Med (Berl) doi: 10.1007/s00109-007-0170-9 – volume: 2011 start-page: 603052 year: 2010 ident: 1351_CR23 publication-title: Int J Alzheimers Dis doi: 10.4061/2011/603052 – volume: 271 start-page: 17354 issue: 29 year: 1996 ident: 1351_CR28 publication-title: J Biol Chem doi: 10.1074/jbc.271.29.17354 – volume: 4 start-page: e4478 issue: 2 year: 2009 ident: 1351_CR22 publication-title: PLoS One doi: 10.1371/journal.pone.0004478 – volume: 441 start-page: 173 issue: 7090 year: 2006 ident: 1351_CR39 publication-title: Nature doi: 10.1038/nature04768 – volume: 281 start-page: 4132 issue: 7 year: 2006 ident: 1351_CR45 publication-title: J Biol Chem doi: 10.1074/jbc.M508492200 – volume: 24 start-page: 597 issue: 4 year: 2005 ident: 1351_CR72 publication-title: Oncogene doi: 10.1038/sj.onc.1208237 – volume: 23 start-page: 541 issue: 3 year: 2004 ident: 1351_CR71 publication-title: EMBO J doi: 10.1038/sj.emboj.7600065 – volume: 24 start-page: i76 issue: 16 year: 2008 ident: 1351_CR8 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btn273 – volume: 121 start-page: 37 issue: 1 year: 2013 ident: 1351_CR27 publication-title: Exp Clin Endocrinol Diabetes – volume: 24 start-page: 2590 issue: 14 year: 2005 ident: 1351_CR44 publication-title: EMBO J doi: 10.1038/sj.emboj.7600742 – volume: 40 start-page: 484 issue: 4 year: 2006 ident: 1351_CR54 publication-title: J Mol Cell Cardiol doi: 10.1016/j.yjmcc.2006.01.022 – volume: 53 start-page: 1438 issue: 7 year: 2010 ident: 1351_CR37 publication-title: Diabetologia doi: 10.1007/s00125-010-1696-x – volume: 44 start-page: 328 issue: 3 year: 2012 ident: 1351_CR53 publication-title: Nat Genet doi: 10.1038/ng.1081 – volume: 50 start-page: 204 issue: 2 year: 2009 ident: 1351_CR4 publication-title: J Lipid Res doi: 10.1194/jlr.M700505-JLR200 – volume: 10 start-page: 211 year: 2009 ident: 1351_CR65 publication-title: BMC Bioinformatics doi: 10.1186/1471-2105-10-211 – volume: 33 start-page: 2088 issue: 9 year: 2013 ident: 1351_CR5 publication-title: Arterioscler Thromb Vasc Biol doi: 10.1161/ATVBAHA.113.301375 – volume: 20 start-page: 5119 issue: 14 year: 2000 ident: 1351_CR21 publication-title: Mol Cell Biol doi: 10.1128/MCB.20.14.5119-5128.2000 – volume: 89 start-page: 650 issue: 5 year: 2011 ident: 1351_CR33 publication-title: Immunol Cell Biol doi: 10.1038/icb.2010.148 – volume: 76 start-page: 1025 issue: 6 year: 1994 ident: 1351_CR11 publication-title: Cell doi: 10.1016/0092-8674(94)90380-8 – volume: 119 start-page: 407 issue: 10 year: 2010 ident: 1351_CR3 publication-title: Clin Sci (Lond) doi: 10.1042/CS20100094 – volume: 6 start-page: 157 issue: 3 year: 2012 ident: 1351_CR32 publication-title: Channels (Austin) doi: 10.4161/chan.20865 – volume: 4 start-page: 44 issue: 1 year: 2009 ident: 1351_CR35 publication-title: Nat Protoc doi: 10.1038/nprot.2008.211 – volume: 282 start-page: 13769 issue: 18 year: 2007 ident: 1351_CR17 publication-title: J Biol Chem doi: 10.1074/jbc.M700078200 – volume: 5 start-page: 272 issue: 2 year: 2012 ident: 1351_CR19 publication-title: Curr Mol Pharmacol doi: 10.2174/1874467211205020272 – volume: 65 start-page: 8690 issue: 19 year: 2005 ident: 1351_CR74 publication-title: Cancer Res doi: 10.1158/0008-5472.CAN-05-1208 – reference: 8622660 - Mol Cell Biol. 1996 Mar;16(3):1157-68 – reference: 23288173 - Arterioscler Thromb Vasc Biol. 2013 Mar;33(3):533-43 – reference: 16020470 - Bioinformatics. 2005 Sep 15;21(18):3637-44 – reference: 20851854 - Clin Cancer Res. 2010 Nov 15;16(22):5511-21 – reference: 21810943 - Endocrinology. 2011 Oct;152(10):3603-13 – reference: 22306652 - Nat Genet. 2012 Mar;44(3):328-33 – reference: 16982098 - Mol Immunol. 2007 Mar;44(7):1598-605 – reference: 19212434 - PLoS One. 2009;4(2):e4478 – reference: 10866668 - Mol Cell Biol. 2000 Jul;20(14):5119-28 – reference: 23622250 - Cell. 2013 Apr 25;153(3):707-20 – reference: 18812596 - J Lipid Res. 2009 Feb;50(2):204-13 – reference: 22122457 - Curr Mol Pharmacol. 2012 Jun;5(2):272-81 – reference: 8663449 - J Biol Chem. 1996 Jul 19;271(29):17354-9 – reference: 23399523 - J Neurol Sci. 2013 Mar 15;326(1-2):89-95 – reference: 18799481 - Bioinformatics. 2008 Nov 15;24(22):2636-8 – reference: 20189939 - Bioinformatics. 2010 Apr 15;26(8):1129-30 – reference: 23160196 - J Clin Invest. 2012 Dec;122(12):4727-31 – reference: 15558022 - Oncogene. 2005 Jan 20;24(4):597-604 – reference: 17055512 - Atherosclerosis. 2007 Aug;193(2):321-7 – reference: 10085237 - Biochem J. 1999 Apr 1;339 ( Pt 1):135-41 – reference: 10198642 - Mol Cell. 1999 Mar;3(3):397-403 – reference: 16820429 - Bioinformatics. 2006 Sep 1;22(17):2107-13 – reference: 21234417 - Int J Alzheimers Dis. 2010 Dec 27;2011:603052 – reference: 23959843 - J Am Med Inform Assoc. 2014 Mar-Apr;21(2):315-25 – reference: 7824938 - Science. 1995 Jan 20;267(5196):389-93 – reference: 16516917 - J Mol Cell Cardiol. 2006 Apr;40(4):484-94 – reference: 22956256 - Exp Clin Endocrinol Diabetes. 2013 Jan;121(1):37-42 – reference: 17785797 - J Immunol. 2007 Sep 15;179(6):3622-30 – reference: 16326703 - J Biol Chem. 2006 Feb 17;281(7):4132-41 – reference: 22660795 - Diabetologia. 2012 Sep;55(9):2533-45 – reference: 21333407 - Eur J Med Chem. 2011 Apr;46(4):1348-55 – reference: 21652769 - Physiol Genomics. 2011 Aug 16;43(15):917-29 – reference: 21221125 - Immunol Cell Biol. 2011 Jul;89(5):650-8 – reference: 7929379 - J Biol Chem. 1994 Oct 21;269(42):26546-51 – reference: 23946634 - Mol Vis. 2013;19:1795-803 – reference: 12814948 - Ann N Y Acad Sci. 2003 May;995:162-70 – reference: 16204037 - Cancer Res. 2005 Oct 1;65(19):8690-7 – reference: 20036050 - Cancer Lett. 2010 Jun 1;292(1):125-32 – reference: 18689844 - Bioinformatics. 2008 Aug 15;24(16):i76-82 – reference: 17339326 - J Biol Chem. 2007 May 4;282(18):13769-79 – reference: 22875853 - J Biol Chem. 2012 Sep 28;287(40):33533-44 – reference: 20349223 - Diabetologia. 2010 Jul;53(7):1438-50 – reference: 16132617 - Angiogenesis. 2005;8(1):43-51 – reference: 19131956 - Nat Protoc. 2009;4(1):44-57 – reference: 19589155 - BMC Bioinformatics. 2009;10:211 – reference: 15990869 - EMBO J. 2005 Jul 20;24(14):2590-601 – reference: 16912112 - Proc Natl Acad Sci U S A. 2006 Aug 22;103(34):12741-6 – reference: 22121489 - Int J Vasc Med. 2012;2012:647689 – reference: 16931790 - Arterioscler Thromb Vasc Biol. 2006 Nov;26(11):2490-6 – reference: 11846609 - Methods. 2001 Dec;25(4):402-8 – reference: 1902565 - Proc Natl Acad Sci U S A. 1991 May 1;88(9):3511-5 – reference: 21193034 - Biochim Biophys Acta. 2011 Aug;1812(8):919-28 – reference: 14960456 - Bioinformatics. 2004 Feb 12;20(3):307-15 – reference: 20684749 - Clin Sci (Lond). 2010 Nov;119(10):407-21 – reference: 19033363 - Nucleic Acids Res. 2009 Jan;37(1):1-13 – reference: 8137421 - Cell. 1994 Mar 25;76(6):1025-37 – reference: 23617932 - BMC Bioinformatics. 2013;14:137 – reference: 20576610 - J Biol Chem. 2010 Aug 20;285(34):26377-83 – reference: 22241478 - J Biol Chem. 2012 Mar 2;287(10):7026-38 – reference: 14723708 - Genes Cells. 2004 Jan;9(1):59-70 – reference: 17356846 - J Mol Med (Berl). 2007 Jul;85(7):697-706 – reference: 18586718 - Bioinformatics. 2008 Jul 1;24(13):i223-31 – reference: 10440233 - Gene Expr. 1999;7(4-6):321-35 – reference: 21061913 - Gene Expr. 2010;15(1):1-11 – reference: 17234968 - Circ Res. 2007 Feb 16;100(3):381-90 – reference: 18952601 - J Biol Chem. 2008 Dec 19;283(51):35337-53 – reference: 23868936 - Arterioscler Thromb Vasc Biol. 2013 Sep;33(9):2088-96 – reference: 12810642 - Cancer Res. 2003 Jun 15;63(12):3145-53 – reference: 23902508 - N Engl J Med. 2013 Aug 1;369(5):489-90 – reference: 14739937 - EMBO J. 2004 Feb 11;23(3):541-51 – reference: 16688168 - Nature. 2006 May 11;441(7090):173-8 – reference: 22677788 - Channels (Austin). 2012 May-Jun;6(3):157-65 – reference: 11106749 - Mol Cell. 2000 Nov;6(5):1099-108
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Snippet	Background Neurovascular inflammation is associated with a number of neurological diseases including vascular dementia and Alzheimer’s disease, which are... Neurovascular inflammation is associated with a number of neurological diseases including vascular dementia and Alzheimer's disease, which are increasingly... Background Neurovascular inflammation is associated with a number of neurological diseases including vascular dementia and Alzheimer's disease, which are... Doc number: 80 Abstract Background: Neurovascular inflammation is associated with a number of neurological diseases including vascular dementia and Alzheimer's... Background: Neurovascular inflammation is associated with a number of neurological diseases including vascular dementia and Alzheimer's disease, which are...
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Title	A systems biology analysis of brain microvascular endothelial cell lipotoxicity
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