Cargando…

A meta-analysis of public microarray data identifies gene regulatory pathways deregulated in peripheral blood mononuclear cells from individuals with Systemic Lupus Erythematosus compared to those without

BACKGROUND: Systemic Lupus Erythematosus (SLE) is a complex, multi-systemic, autoimmune disease for which the underlying aetiological mechanisms are poorly understood. The genetic and molecular processes underlying lupus have been extensively investigated using a variety of -omics approaches, includ...

Descripción completa

Detalles Bibliográficos
Autores principales: Kröger, Wendy, Mapiye, Darlington, Entfellner, Jean-Baka Domelevo, Tiffin, Nicki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5111272/
https://www.ncbi.nlm.nih.gov/pubmed/27846842
http://dx.doi.org/10.1186/s12920-016-0227-0
_version_ 1782467836992552960
author Kröger, Wendy
Mapiye, Darlington
Entfellner, Jean-Baka Domelevo
Tiffin, Nicki
author_facet Kröger, Wendy
Mapiye, Darlington
Entfellner, Jean-Baka Domelevo
Tiffin, Nicki
author_sort Kröger, Wendy
collection PubMed
description BACKGROUND: Systemic Lupus Erythematosus (SLE) is a complex, multi-systemic, autoimmune disease for which the underlying aetiological mechanisms are poorly understood. The genetic and molecular processes underlying lupus have been extensively investigated using a variety of -omics approaches, including genome-wide association studies, candidate gene studies and microarray experiments of differential gene expression in lupus samples compared to controls. METHODS: This study analyses a combination of existing microarray data sets to identify differentially regulated genetic pathways that are dysregulated in human peripheral blood mononuclear cells from SLE patients compared to unaffected controls. Two statistical approaches, quantile discretisation and scaling, are used to combine publicly available expression microarray datasets and perform a meta-analysis of differentially expressed genes. RESULTS: Differentially expressed genes implicated in interferon signaling were identified by the meta-analysis, in agreement with the findings of the individual studies that generated the datasets used. In contrast to the individual studies, however, the meta-analysis and subsequent pathway analysis additionally highlighted TLR signaling, oxidative phosphorylation and diapedesis and adhesion regulatory networks as being differentially regulated in peripheral blood mononuclear cells (PBMCs) from SLE patients compared to controls. CONCLUSION: Our analysis demonstrates that it is possible to derive additional information from publicly available expression data using meta-analysis techniques, which is particularly relevant to research into rare diseases where sample numbers can be limiting. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12920-016-0227-0) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-5111272
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-51112722016-11-25 A meta-analysis of public microarray data identifies gene regulatory pathways deregulated in peripheral blood mononuclear cells from individuals with Systemic Lupus Erythematosus compared to those without Kröger, Wendy Mapiye, Darlington Entfellner, Jean-Baka Domelevo Tiffin, Nicki BMC Med Genomics Research Article BACKGROUND: Systemic Lupus Erythematosus (SLE) is a complex, multi-systemic, autoimmune disease for which the underlying aetiological mechanisms are poorly understood. The genetic and molecular processes underlying lupus have been extensively investigated using a variety of -omics approaches, including genome-wide association studies, candidate gene studies and microarray experiments of differential gene expression in lupus samples compared to controls. METHODS: This study analyses a combination of existing microarray data sets to identify differentially regulated genetic pathways that are dysregulated in human peripheral blood mononuclear cells from SLE patients compared to unaffected controls. Two statistical approaches, quantile discretisation and scaling, are used to combine publicly available expression microarray datasets and perform a meta-analysis of differentially expressed genes. RESULTS: Differentially expressed genes implicated in interferon signaling were identified by the meta-analysis, in agreement with the findings of the individual studies that generated the datasets used. In contrast to the individual studies, however, the meta-analysis and subsequent pathway analysis additionally highlighted TLR signaling, oxidative phosphorylation and diapedesis and adhesion regulatory networks as being differentially regulated in peripheral blood mononuclear cells (PBMCs) from SLE patients compared to controls. CONCLUSION: Our analysis demonstrates that it is possible to derive additional information from publicly available expression data using meta-analysis techniques, which is particularly relevant to research into rare diseases where sample numbers can be limiting. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12920-016-0227-0) contains supplementary material, which is available to authorized users. BioMed Central 2016-11-15 /pmc/articles/PMC5111272/ /pubmed/27846842 http://dx.doi.org/10.1186/s12920-016-0227-0 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.
spellingShingle Research Article
Kröger, Wendy
Mapiye, Darlington
Entfellner, Jean-Baka Domelevo
Tiffin, Nicki
A meta-analysis of public microarray data identifies gene regulatory pathways deregulated in peripheral blood mononuclear cells from individuals with Systemic Lupus Erythematosus compared to those without
title A meta-analysis of public microarray data identifies gene regulatory pathways deregulated in peripheral blood mononuclear cells from individuals with Systemic Lupus Erythematosus compared to those without
title_full A meta-analysis of public microarray data identifies gene regulatory pathways deregulated in peripheral blood mononuclear cells from individuals with Systemic Lupus Erythematosus compared to those without
title_fullStr A meta-analysis of public microarray data identifies gene regulatory pathways deregulated in peripheral blood mononuclear cells from individuals with Systemic Lupus Erythematosus compared to those without
title_full_unstemmed A meta-analysis of public microarray data identifies gene regulatory pathways deregulated in peripheral blood mononuclear cells from individuals with Systemic Lupus Erythematosus compared to those without
title_short A meta-analysis of public microarray data identifies gene regulatory pathways deregulated in peripheral blood mononuclear cells from individuals with Systemic Lupus Erythematosus compared to those without
title_sort meta-analysis of public microarray data identifies gene regulatory pathways deregulated in peripheral blood mononuclear cells from individuals with systemic lupus erythematosus compared to those without
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5111272/
https://www.ncbi.nlm.nih.gov/pubmed/27846842
http://dx.doi.org/10.1186/s12920-016-0227-0
work_keys_str_mv AT krogerwendy ametaanalysisofpublicmicroarraydataidentifiesgeneregulatorypathwaysderegulatedinperipheralbloodmononuclearcellsfromindividualswithsystemiclupuserythematosuscomparedtothosewithout
AT mapiyedarlington ametaanalysisofpublicmicroarraydataidentifiesgeneregulatorypathwaysderegulatedinperipheralbloodmononuclearcellsfromindividualswithsystemiclupuserythematosuscomparedtothosewithout
AT entfellnerjeanbakadomelevo ametaanalysisofpublicmicroarraydataidentifiesgeneregulatorypathwaysderegulatedinperipheralbloodmononuclearcellsfromindividualswithsystemiclupuserythematosuscomparedtothosewithout
AT tiffinnicki ametaanalysisofpublicmicroarraydataidentifiesgeneregulatorypathwaysderegulatedinperipheralbloodmononuclearcellsfromindividualswithsystemiclupuserythematosuscomparedtothosewithout
AT krogerwendy metaanalysisofpublicmicroarraydataidentifiesgeneregulatorypathwaysderegulatedinperipheralbloodmononuclearcellsfromindividualswithsystemiclupuserythematosuscomparedtothosewithout
AT mapiyedarlington metaanalysisofpublicmicroarraydataidentifiesgeneregulatorypathwaysderegulatedinperipheralbloodmononuclearcellsfromindividualswithsystemiclupuserythematosuscomparedtothosewithout
AT entfellnerjeanbakadomelevo metaanalysisofpublicmicroarraydataidentifiesgeneregulatorypathwaysderegulatedinperipheralbloodmononuclearcellsfromindividualswithsystemiclupuserythematosuscomparedtothosewithout
AT tiffinnicki metaanalysisofpublicmicroarraydataidentifiesgeneregulatorypathwaysderegulatedinperipheralbloodmononuclearcellsfromindividualswithsystemiclupuserythematosuscomparedtothosewithout