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  • 1.
    Barrenäs, Fredrik
    et al.
    Linköping University, Department of Clinical and Experimental Medicine. Linköping University, Faculty of Health Sciences.
    Bruhn, Sören
    Linköping University, Department of Clinical and Experimental Medicine. Linköping University, Faculty of Health Sciences.
    Gustafsson, Mika
    Linköping University, Department of Science and Technology. Linköping University, The Institute of Technology.
    Jörnsten, Rebecka
    Mathematical Sciences, Chalmers University of Technology, University of Gothenburg, Gothenburg, Sweden.
    Langston, Michael A
    Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, USA.
    Nestor, Colm
    Östergötlands Läns Landsting.
    Rogers, Gary
    Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, USA .
    Wang, Hui
    Linköping University, Department of Clinical and Experimental Medicine. Linköping University, Faculty of Health Sciences.
    Benson, Mikael
    Linköping University, Department of Clinical and Experimental Medicine. Linköping University, Faculty of Health Sciences.
    Disease-Associated MRNA Expression Differences in Genes with Low DNA Methylation2012Manuscript (preprint) (Other academic)
    Abstract [en]

    Although the importance of DNA methylation for mRNA expression has been shown for individualgenes in several complex diseases, such a relation has been difficult to show on a genome-wide scale.Here, we used microarrays to examine the relationship between DNA methylation and mRNAexpression in CD4+ T cells from patients with seasonal allergic rhinitis (SAR) and healthy controls.SAR is an optimal disease model because the disease process can be studied by comparing allergenchallengedCD4+ T cells obtained from patients and controls, and mimicked in Th2 polarised T cellsfrom healthy controls. The cells from patients can be analyzed to study relations between methylationand mRNA expression, while the Th2 cells can be used for functional studies. We found that DNAmethylation, but not mRNA expression clearly separated patients from controls. Similar to studies ofother complex diseases, we found no general relation between DNA methylation and mRNAexpression. However, when we took into account the absence or presence of CpG islands in thepromoters of disease associated genes an association was found: low methylation genes without CpGislands had significantly higher expression levels of disease-associated genes. This association wasconfirmed for genes whose expression levels were regulated by a transcription factor of knownrelevance for allergy, IRF4, using combined ChIP-chip and siRNA mediated silencing of IRF4expression. In summary, disease-associated increases of mRNA expression were found in lowmethylation genes without CpG islands in CD4+ T cells from patients with SAR. Further studies arewarranted to examine if a similar association is found in other complex diseases.

  • 2.
    Barrenäs, Fredrik
    et al.
    Linköping University, Department of Clinical and Experimental Medicine. Linköping University, Faculty of Health Sciences.
    Chavali, Sreenivas
    MRC-Laboratory of Molecular Biology, University of Cambridge, Hills Road, Cambridge, CB2 0QH, UK.
    Alves, Alexessander Couto
    Department of Genomics of Common Disease, School of Public Health, Imperial College, UK.
    Coin, Lachlan
    Department of Genomics of Common Disease, School of Public Health, Imperial College, UK.
    Jarvelin, Marjo-Riitta
    Department of Genomics of Common Disease, School of Public Health, Imperial College, UK.
    Jörnsten, Rebecka
    Mathematical Sciences, Chalmers University of Technology, University of Gothenburg, Gothenburg, Sweden.
    Langston, Michael A
    Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, USA .
    Ramasamy, Adaikalavan
    Department of Genomics of Common Disease, School of Public Health, Imperial College, London, UK .
    Rogers, Gary
    Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, USA .
    Wang, Hui
    Linköping University, Department of Clinical and Experimental Medicine. Linköping University, Faculty of Health Sciences.
    Benson, Mikael
    Linköping University, Department of Clinical and Experimental Medicine. Linköping University, Faculty of Health Sciences.
    Highly interconnected genes in disease-specific networks are enriched for disease-associated polymorphisms2012In: Genome Biology, ISSN 1465-6906, E-ISSN 1474-760X, Vol. 13, no 6, p. R46-Article in journal (Refereed)
    Abstract [en]

    BACKGROUND: Complex diseases are associated with altered interactions between thousands of genes. We developed a novel method to identify and prioritize disease genes, which was generally applicable to complex diseases.

    RESULTS: We identified modules of highly interconnected genes in disease-specific networks derived from integrating gene-expression and protein interaction data. We examined if those modules were enriched for disease-associated SNPs, and could be used to find novel genes for functional studies. First, we analyzed publicly available gene expression microarray and genome-wide association study (GWAS) data from 13, highly diverse, complex diseases. In each disease, highly interconnected genes formed modules, which were significantly enriched for genes harboring disease-associated SNPs. To test if such modules could be used to find novel genes for functional studies, we repeated the analyses using our own gene expression microarray and GWAS data from seasonal allergic rhinitis. We identified a novel gene, FGF2, whose relevance was supported by functional studies using combined small interfering RNA-mediated knock-down and gene expression microarrays. The modules in the 13 complex diseases analyzed here tended to overlap and were enriched for pathways related to oncological, metabolic and inflammatory diseases. This suggested that this union of the modules would be associated with a general increase in susceptibility for complex diseases. Indeed, we found that this union was enriched with GWAS genes for 145 other complex diseases.

    CONCLUSIONS: Modules of highly interconnected complex disease genes were enriched for disease-associated SNPs, and could be used to find novel genes for functional studies.

  • 3.
    Bruhn, Sören
    et al.
    Linköping University, Department of Clinical and Experimental Medicine. Linköping University, Faculty of Health Sciences.
    Barrenäs, Fredrik
    Linköping University, Department of Clinical and Experimental Medicine. Linköping University, Faculty of Health Sciences.
    Mobini, R.
    Östergötlands Läns Landsting.
    Andersson, B. A.
    Sahlgrenska University Hospital.
    Chavali, S.
    MRC Lab Molecular Biol, Cambridge, UK.
    Egan, B. S.
    Genepathway, Inc., San Diego, CA, USA.
    Hovig, E.
    Norwegian Radium Hospital.
    Sandve, G. K.
    University of Oslo.
    Langston, M. A.
    University of Tennessee, Knoxville, TN, USA.
    Rogers, G.
    University of Tennessee, Knoxville, TN, USA.
    Wang, Hui
    Linköping University, Department of Clinical and Experimental Medicine. Linköping University, Faculty of Health Sciences.
    Benson, Mikael
    Linköping University, Faculty of Health Sciences. Linköping University, Department of Clinical and Experimental Medicine, Pediatrics.
    Increased expression of IRF4 and ETS1 in CD4+ cells from patients with intermittent allergic rhinitis2012In: Allergy. European Journal of Allergy and Clinical Immunology, ISSN 0105-4538, E-ISSN 1398-9995, Vol. 67, no 1, p. 33-40Article in journal (Refereed)
    Abstract [en]

    Background: The transcription factor (TF) IRF4 is involved in the regulation of Th1, Th2, Th9, and Th17 cells, and animal studies have indicated an important role in allergy. However, IRF4 and its target genes have not been examined in human allergy. Methods: IRF4 and its target genes were examined in allergen-challenged CD4+ cells from patients with IAR, using combined gene expression microarrays and chromatin immunoprecipitation chips (ChIP-chips), computational target prediction, and RNAi knockdowns. Results: IRF4 increased in allergen-challenged CD4+ cells from patients with IAR, and functional studies supported its role in Th2 cell activation. IRF4 ChIP-chip showed that IRF4 regulated a large number of genes relevant to Th cell differentiation. However, neither Th1 nor Th2 cytokines were the direct targets of IRF4. To examine whether IRF4 induced Th2 cytokines via one or more downstream TFs, we combined gene expression microarrays, ChIP-chips, and computational target prediction and found a putative intermediary TF, namely ETS1 in allergen-challenged CD4+ cells from allergic patients. ETS1 increased significantly in allergen-challenged CD4+ cells from patients compared to controls. Gene expression microarrays before and after ETS1 RNAi knockdown showed that ETS1 induced Th2 cytokines as well as disease-related pathways. Conclusions: Increased expression of IRF4 in allergen-challenged CD4+ cells from patients with intermittent allergic rhinitis leads to activation of a complex transcriptional program, including Th2 cytokines.

  • 4.
    Bruhn, Sören
    et al.
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences.
    Fang, Yu
    Guiyang Medical Coll, Peoples R China University of Gothenburg, Sweden .
    Barrenäs, Fredrik
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences.
    Gustafsson, Mika
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences.
    Zhang, Huan
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences.
    Konstantinell, Aelita
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences.
    Kronke, Andrea
    Cenix BioScience GmbH, Germany .
    Sonnichsen, Birte
    Cenix BioScience GmbH, Germany .
    Bresnick, Anne
    Albert Einstein Coll Med, NY 10461 USA .
    Dulyaninova, Natalya
    Albert Einstein Coll Med, NY 10461 USA .
    Wang, Hui
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences.
    Zhao, Yelin
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences.
    Klingelhofer, Jorg
    University of Copenhagen, Denmark .
    Ambartsumian, Noona
    University of Copenhagen, Denmark .
    Beck, Mette K.
    Technical University of Denmark, Denmark .
    Nestor, Colm
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences.
    Bona, Elsa
    Boras Hospital, Sweden .
    Xiang, Zou
    University of Gothenburg, Sweden .
    Benson, Mikael
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences. Östergötlands Läns Landsting, Heart and Medicine Center, Allergy Center. Östergötlands Läns Landsting, Center of Paediatrics and Gynaecology and Obstetrics, Department of Paediatrics in Linköping.
    A Generally Applicable Translational Strategy Identifies S100A4 as a Candidate Gene in Allergy2014In: Science Translational Medicine, ISSN 1946-6234, E-ISSN 1946-6242, Vol. 6, no 218Article in journal (Refereed)
    Abstract [en]

    The identification of diagnostic markers and therapeutic candidate genes in common diseases is complicated by the involvement of thousands of genes. We hypothesized that genes co-regulated with a key gene in allergy, IL13, would form a module that could help to identify candidate genes. We identified a T helper 2 (T(H)2) cell module by small interfering RNA-mediated knockdown of 25 putative IL13-regulating transcription factors followed by expression profiling. The module contained candidate genes whose diagnostic potential was supported by clinical studies. Functional studies of human TH2 cells as well as mouse models of allergy showed that deletion of one of the genes, S100A4, resulted in decreased signs of allergy including TH2 cell activation, humoral immunity, and infiltration of effector cells. Specifically, dendritic cells required S100A4 for activating T cells. Treatment with an anti-S100A4 antibody resulted in decreased signs of allergy in the mouse model as well as in allergen-challenged T cells from allergic patients. This strategy, which may be generally applicable to complex diseases, identified and validated an important diagnostic and therapeutic candidate gene in allergy.

  • 5.
    Chavali, Sreenivas
    et al.
    MRC Laboratory of Molecular Biology, Cambridge, United Kingdom.
    Bruhn, Sören
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences.
    Tiemann, Katrin
    Linköping University, Department of Clinical and Experimental Medicine. Linköping University, Faculty of Health Sciences.
    Sætrom, Pål
    Norwegian University of Science and Technology, Trondheim, Norway.
    Barrenäs, Fredrik
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences.
    Saito, Takaya
    Norwegian University of Science and Technology, Trondheim, Norway.
    Kanduri, Kartiek
    University of Gothenburg, Sweden .
    Wang, Hui
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences.
    Benson, Mikael
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences.
    MicroRNAs act complementarily to regulate disease-related mRNA modules in human diseases2013In: RNA: A publication of the RNA Society, ISSN 1355-8382, E-ISSN 1469-9001, Vol. 19, no 11, p. 1552-1562Article in journal (Refereed)
    Abstract [en]

    MicroRNAs (miRNAs) play a key role in regulating mRNA expression, and individual miRNAs have been proposed as diagnostic and therapeutic candidates. The identification of such candidates is complicated by the involvement of multiple miRNAs and mRNAs as well as unknown disease topology of the miRNAs. Here, we investigated if disease-associated miRNAs regulate modules of disease-associated mRNAs, if those miRNAs act complementarily or synergistically, and if single or combinations of miRNAs can be targeted to alter module functions. We first analyzed publicly available miRNA and mRNA expression data for five different diseases. Integrated target prediction and network-based analysis showed that the miRNAs regulated modules of disease-relevant genes. Most of the miRNAs acted complementarily to regulate multiple mRNAs. To functionally test these findings, we repeated the analysis using our own miRNA and mRNA expression data from CD4+ T cells from patients with seasonal allergic rhinitis. This is a good model of complex diseases because of its well-defined phenotype and pathogenesis. Combined computational and functional studies confirmed that miRNAs mainly acted complementarily and that a combination of two complementary miRNAs, miR-223 and miR-139-3p, could be targeted to alter disease-relevant module functions, namely, the release of type 2 helper T-cell (Th2) cytokines. Taken together, our findings indicate that miRNAs act complementarily to regulate modules of disease-related mRNAs and can be targeted to alter disease-relevant functions.

  • 6.
    Couto Alves, Alexessander
    et al.
    University of London Imperial Coll Science Technology and Med, England .
    Bruhn, Sören
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences.
    Ramasamy, Adaikalavan
    University of London Imperial Coll Science Technology and Med, England .
    Wang, Hui
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences.
    Holloway, John W.
    University of Southampton, England .
    Hartikainen, Anna-Liisa
    University of Oulu, Finland .
    Jarvelin, Marjo-Riitta
    University of London Imperial Coll Science Technology and Med, England .
    Benson, Mikael
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences.
    Balding, David J.
    University of London Imperial Coll Science Technology and Med, England .
    Coin, Lachlan J M.
    University of London Imperial Coll Science Technology and Med, England .
    Dysregulation of Complement System and CD4+T Cell Activation Pathways Implicated in Allergic Response2013In: PLoS ONE, ISSN 1932-6203, E-ISSN 1932-6203, Vol. 8, no 10Article in journal (Refereed)
    Abstract [en]

    Allergy is a complex disease that is likely to involve dysregulated CD4+ T cell activation. Here we propose a novel methodology to gain insight into how coordinated behaviour emerges between disease-dysregulated pathways in response to pathophysiological stimuli. Using peripheral blood mononuclear cells of allergic rhinitis patients and controls cultured with and without pollen allergens, we integrate CD4+ T cell gene expression from microarray data and genetic markers of allergic sensitisation from GWAS data at the pathway level using enrichment analysis; implicating the complement system in both cellular and systemic response to pollen allergens. We delineate a novel disease network linking T cell activation to the complement system that is significantly enriched for genes exhibiting correlated gene expression and protein-protein interactions, suggesting a tight biological coordination that is dysregulated in the disease state in response to pollen allergen but not to diluent. This novel disease network has high predictive power for the gene and protein expression of the Th2 cytokine profile (IL-4, IL-5, IL-10, IL-13) and of the Th2 master regulator (GATA3), suggesting its involvement in the early stages of CD4+ T cell differentiation. Dissection of the complement system gene expression identifies 7 genes specifically associated with atopic response to pollen, including C1QR1, CFD, CFP, ITGB2, ITGAX and confirms the role of C3AR1 and C5AR1. Two of these genes (ITGB2 and C3AR1) are also implicated in the network linking complement system to T cell activation, which comprises 6 differentially expressed genes. C3AR1 is also significantly associated with allergic sensitisation in GWAS data.

  • 7.
    Gustafsson, Mika
    et al.
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences.
    Edström, Måns
    Linköping University, Department of Clinical and Experimental Medicine, Division of Inflammation Medicine. Linköping University, Faculty of Health Sciences.
    Gawel, Danuta
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences.
    Nestor, Colm
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences.
    Wang, Hui
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences.
    Zhang, Huan
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences.
    Barrenäs, Fredrik
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences.
    Tojo, James
    Karolinska Institute, Sweden Centre Molecular Med, Sweden .
    Kockum, Ingrid
    Karolinska Institute, Sweden Centre Molecular Med, Sweden .
    Olsson, Tomas
    Karolinska Institute, Sweden Centre Molecular Med, Sweden .
    Serra-Musach, Jordi
    IDIBELL, Spain .
    Bonifaci, Nuria
    IDIBELL, Spain .
    Angel Pujana, Miguel
    IDIBELL, Spain .
    Ernerudh, Jan
    Linköping University, Department of Clinical and Experimental Medicine, Division of Inflammation Medicine. Linköping University, Faculty of Health Sciences. Östergötlands Läns Landsting, Center for Diagnostics, Department of Clinical Immunology and Transfusion Medicine.
    Benson, Mikael
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences. Östergötlands Läns Landsting, Heart and Medicine Center, Allergy Center. Östergötlands Läns Landsting, Center of Paediatrics and Gynaecology and Obstetrics, Department of Paediatrics in Linköping.
    Integrated genomic and prospective clinical studies show the importance of modular pleiotropy for disease susceptibility, diagnosis and treatment2014In: Genome Medicine, ISSN 1756-994X, E-ISSN 1756-994X, Vol. 6, no 17Article in journal (Refereed)
    Abstract [en]

    Background: Translational research typically aims to identify and functionally validate individual, disease-specific genes. However, reaching this aim is complicated by the involvement of thousands of genes in common diseases, and that many of those genes are pleiotropic, that is, shared by several diseases. Methods: We integrated genomic meta-analyses with prospective clinical studies to systematically investigate the pathogenic, diagnostic and therapeutic roles of pleiotropic genes. In a novel approach, we first used pathway analysis of all published genome-wide association studies (GWAS) to find a cell type common to many diseases. Results: The analysis showed over-representation of the T helper cell differentiation pathway, which is expressed in T cells. This led us to focus on expression profiling of CD4(+) T cells from highly diverse inflammatory and malignant diseases. We found that pleiotropic genes were highly interconnected and formed a pleiotropic module, which was enriched for inflammatory, metabolic and proliferative pathways. The general relevance of this module was supported by highly significant enrichment of genetic variants identified by all GWAS and cancer studies, as well as known diagnostic and therapeutic targets. Prospective clinical studies of multiple sclerosis and allergy showed the importance of both pleiotropic and disease specific modules for clinical stratification. Conclusions: In summary, this translational genomics study identified a pleiotropic module, which has key pathogenic, diagnostic and therapeutic roles.

  • 8.
    Gustafsson, Mika
    et al.
    Linköping University, Department of Physics, Chemistry and Biology, Bioinformatics. Linköping University, Faculty of Science & Engineering.
    Gawel, Danuta
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Medicine and Health Sciences.
    Alfredsson, Lars
    Karolinska Institute, Sweden.
    Baranzini, Sergio
    University of Calif San Francisco, CA, USA.
    Bjorkander, Janne
    County Council Jonköping, Sweden.
    Blomgran, Robert
    Linköping University, Department of Clinical and Experimental Medicine, Division of Microbiology and Molecular Medicine. Linköping University, Faculty of Medicine and Health Sciences.
    Hellberg, Sandra
    Linköping University, Department of Clinical and Experimental Medicine, Division of Neuro and Inflammation Science. Linköping University, Faculty of Medicine and Health Sciences.
    Eklund, Daniel
    Linköping University, Department of Clinical and Experimental Medicine, Division of Neuro and Inflammation Science. Linköping University, Faculty of Medicine and Health Sciences.
    Ernerudh, Jan
    Linköping University, Department of Clinical and Experimental Medicine, Division of Neuro and Inflammation Science. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Center for Diagnostics, Department of Clinical Immunology and Transfusion Medicine.
    Kockum, Ingrid
    Karolinska Institute, Sweden; Centre Molecular Med, Sweden.
    Konstantinell, Aelita
    Linköping University, Faculty of Medicine and Health Sciences. Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Arctic University of Norway, Norway.
    Lahesmaa, Riita
    University of Turku, Finland; Abo Akad University, Finland.
    Lentini, Antonio
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Medicine and Health Sciences.
    Liljenström, H. Robert I.
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Medicine and Health Sciences.
    Mattson, Lina
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Medicine and Health Sciences.
    Matussek, Andreas
    County Council Jonköping, Sweden.
    Mellergård, Johan
    Linköping University, Department of Clinical and Experimental Medicine, Division of Neuro and Inflammation Science. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Local Health Care Services in Central Östergötland, Department of Neurology.
    Mendez, Melissa
    University of Peruana Cayetano Heredia, Peru.
    Olsson, Tomas
    Karolinska Institute, Sweden; Centre Molecular Med, Sweden.
    Pujana, Miguel A.
    Catalan Institute Oncol, Spain.
    Rasool, Omid
    University of Turku, Finland; Abo Akad University, Finland.
    Serra-Musach, Jordi
    Catalan Institute Oncol, Spain.
    Stenmarker, Margaretha
    County Council Jonköping, Sweden.
    Tripathi, Subhash
    University of Turku, Finland; Abo Akad University, Finland.
    Viitala, Miro
    University of Turku, Finland; Abo Akad University, Finland.
    Wang, Hui
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Medicine and Health Sciences. University of Texas MD Anderson Cancer Centre, TX 77030 USA.
    Zhang, Huan
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Medicine and Health Sciences.
    Nestor, Colm
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Medicine and Health Sciences.
    Benson, Mikael
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Heart and Medicine Center, Allergy Center.
    A validated gene regulatory network and GWAS identifies early regulators of T cell-associated diseases2015In: Science Translational Medicine, ISSN 1946-6234, E-ISSN 1946-6242, Vol. 7, no 313, article id 313ra178Article in journal (Refereed)
    Abstract [en]

    Early regulators of disease may increase understanding of disease mechanisms and serve as markers for presymptomatic diagnosis and treatment. However, early regulators are difficult to identify because patients generally present after they are symptomatic. We hypothesized that early regulators of T cell-associated diseases could be found by identifying upstream transcription factors (TFs) in T cell differentiation and by prioritizing hub TFs that were enriched for disease-associated polymorphisms. A gene regulatory network (GRN) was constructed by time series profiling of the transcriptomes and methylomes of human CD4(+) T cells during in vitro differentiation into four helper T cell lineages, in combination with sequence-based TF binding predictions. The TFs GATA3, MAF, and MYB were identified as early regulators and validated by ChIP-seq (chromatin immunoprecipitation sequencing) and small interfering RNA knockdowns. Differential mRNA expression of the TFs and their targets in T cell-associated diseases supports their clinical relevance. To directly test if the TFs were altered early in disease, T cells from patients with two T cell-mediated diseases, multiple sclerosis and seasonal allergic rhinitis, were analyzed. Strikingly, the TFs were differentially expressed during asymptomatic stages of both diseases, whereas their targets showed altered expression during symptomatic stages. This analytical strategy to identify early regulators of disease by combining GRNs with genome-wide association studies may be generally applicable for functional and clinical studies of early disease development.

  • 9.
    Hu, Hongbo
    et al.
    Sichuan University, Peoples R China; University of Texas MD Anderson Cancer Centre, TX 77030 USA.
    Wang, Hui
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Medicine and Health Sciences. University of Texas MD Anderson Cancer Centre, TX 77030 USA.
    Xiao, Yichuan
    University of Texas MD Anderson Cancer Centre, TX 77030 USA; Shanghai Jiao Tong University, Peoples R China.
    Jin, Jin
    University of Texas MD Anderson Cancer Centre, TX 77030 USA; Zhejiang University, Peoples R China.
    Chang, Jae-Hoon
    University of Texas MD Anderson Cancer Centre, TX 77030 USA; Yeungnam University, South Korea.
    Zou, Qiang
    University of Texas MD Anderson Cancer Centre, TX 77030 USA.
    Xie, Xiaoping
    University of Texas MD Anderson Cancer Centre, TX 77030 USA.
    Cheng, Xuhong
    University of Texas MD Anderson Cancer Centre, TX 77030 USA.
    Sun, Shao-Cong
    University of Texas MD Anderson Cancer Centre, TX 77030 USA; University of Texas Houston, TX 77030 USA.
    Otud7b facilitates T cell activation and inflammatory responses by regulating Zap70 ubiquitination2016In: Journal of Experimental Medicine, ISSN 0022-1007, E-ISSN 1540-9538, Vol. 213, no 3, p. 399-414Article in journal (Refereed)
    Abstract [en]

    Signal transduction from the T cell receptor (TCR) is crucial for T cell-mediated immune responses and, when deregulated, also contributes to the development of autoimmunity. How TCR signaling is regulated is incompletely understood. In this study, we demonstrate a ubiquitin-dependent mechanism in which the deubiquitinase Otud7b has a crucial role in facilitating TCR signaling. Upon TCR ligation, Otud7b is rapidly recruited to the tyrosine kinase Zap70, a central mediator of TCR-proximal signaling. Otud7b deficiency attenuates the activation of Zap70 and its downstream pathways and impairs T cell activation and differentiation, rendering mice refractory to T cell-mediated autoimmune and inflammatory responses. Otud7b facilitated Zap70 activation by deubiquitinating Zap70, thus preventing the association of Zap70 with the negative-regulatory phosphatases Sts1 and Sts2. These findings establish Otud7b as a positive regulator of TCR-proximal signaling and T cell activation, highlighting the importance of deubiquitination in regulating Zap70 function.

  • 10.
    Nestor, Colm
    et al.
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences.
    Barrenäs, Fredrik
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences.
    Wang, Hui
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences.
    Lentini, Antonio
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences.
    Zhang, Huan
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences.
    Bruhn, Sören
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences.
    Jornsten, Rebecka
    University of Gothenburg, Sweden .
    Langston, Michael A.
    University of Tennessee, TN USA .
    Rogers, Gary
    University of Tennessee, TN USA .
    Gustafsson, Mika
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences.
    Benson, Mikael
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences. Östergötlands Läns Landsting, Heart and Medicine Center, Allergy Center. Östergötlands Läns Landsting, Center of Paediatrics and Gynaecology and Obstetrics, Department of Paediatrics in Linköping.
    DNA Methylation Changes Separate Allergic Patients from Healthy Controls and May Reflect Altered CD4(+) T-Cell Population Structure2014In: PLoS Genetics, ISSN 1553-7390, E-ISSN 1553-7404, Vol. 10, no 1, p. e1004059-Article in journal (Refereed)
    Abstract [en]

    Altered DNA methylation patterns in CD4(+) T-cells indicate the importance of epigenetic mechanisms in inflammatory diseases. However, the identification of these alterations is complicated by the heterogeneity of most inflammatory diseases. Seasonal allergic rhinitis (SAR) is an optimal disease model for the study of DNA methylation because of its welldefined phenotype and etiology. We generated genome-wide DNA methylation (N-patients = 8, N-controls = 8) and gene expression (N-patients = 9, N-controls = 10) profiles of CD4(+) T-cells from SAR patients and healthy controls using Illuminas HumanMethylation450 and HT-12 microarrays, respectively. DNA methylation profiles clearly and robustly distinguished SAR patients from controls, during and outside the pollen season. In agreement with previously published studies, gene expression profiles of the same samples failed to separate patients and controls. Separation by methylation (N-patients = 12, N-controls = 12), but not by gene expression (N-patients = 21, N-controls = 21) was also observed in an in vitro model system in which purified PBMCs from patients and healthy controls were challenged with allergen. We observed changes in the proportions of memory T-cell populations between patients (N-patients = 35) and controls (N-controls = 12), which could explain the observed difference in DNA methylation. Our data highlight the potential of epigenomics in the stratification of immune disease and represents the first successful molecular classification of SAR using CD4(+) T cells.

  • 11.
    Schoenrock, Andrew
    et al.
    Carleton University, Ottawa, Canada.
    Samanfar, Bahram
    Carleton University, Ottawa, Canada.
    Pitre, Sylvain
    Carleton University, Ottawa, Canada.
    Hooshyar, Mohsen
    Carleton University, Ottawa, Canada.
    Jin, Ke
    University of Toronto, Toronto, Canada.
    Phillips, Charles A
    University of Tennessee, Knoxville, Tennessee, USA.
    Wang, Hui
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences. Gothenburg University, Gothenburg, Sweden.
    Phanse, Sadhna
    University of Toronto, Toronto, Canada.
    Omidi, Katayoun
    University of Toronto, Toronto, Canada.
    Gui, Yuan
    University of Toronto, Toronto, Canada.
    Alamgir, Md
    University of Toronto, Toronto, Canada.
    Wong, Alex
    University of Toronto, Toronto, Canada.
    Barrenäs, Fredrik
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences. Gothenburg University, Gothenburg, Sweden.
    Babu, Mohan
    University of Regina, Regina, Saskatchewan, Canada.
    Benson, Mikael
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences. Östergötlands Läns Landsting, Heart and Medicine Center, Allergy Center. Östergötlands Läns Landsting, Center of Paediatrics and Gynaecology and Obstetrics, Department of Paediatrics in Linköping. Gothenburg University, Gothenburg, Sweden.
    Langston, Michael A
    Carleton University, Ottawa, Canada.
    Green, James R
    Carleton University, Ottawa, Canada.
    Dehne, Frank
    Carleton University, Ottawa, Canada.
    Golshani, Ashkan
    Carleton University, Ottawa, Canada.
    Efficient prediction of human protein-protein interactions at a global scale2014In: BMC bioinformatics, ISSN 1471-2105, Vol. 15, no 1, p. 383-Article in journal (Refereed)
    Abstract [en]

    BackgroundOur knowledge of global protein-protein interaction (PPI) networks in complex organisms such as humans is hindered by technical limitations of current methods.ResultsOn the basis of short co-occurring polypeptide regions, we developed a tool called MP-PIPE capable of predicting a global human PPI network within 3 months. With a recall of 23% at a precision of 82.1%, we predicted 172,132 putative PPIs. We demonstrate the usefulness of these predictions through a range of experiments.ConclusionsThe speed and accuracy associated with MP-PIPE can make this a potential tool to study individual human PPI networks (from genomic sequences alone) for personalized medicine.

  • 12.
    Sjogren, A-K M
    et al.
    University of Gothenburg.
    Barrenäs, Fredrik
    Linköping University, Department of Clinical and Experimental Medicine. Linköping University, Faculty of Health Sciences.
    Muraro, A
    Padua Gen University Hospital.
    Gustafsson, Mika
    Linköping University, Department of Clinical and Experimental Medicine. Linköping University, Faculty of Health Sciences.
    Saetrom, P
    University of Gothenburg.
    Wang, Hui
    Linköping University, Department of Clinical and Experimental Medicine. Linköping University, Faculty of Health Sciences.
    Benson, Mikael
    Linköping University, Department of Clinical and Experimental Medicine. Linköping University, Faculty of Health Sciences.
    Monozygotic twins discordant for intermittent allergic rhinitis differ in mRNA and protein levels2012In: Allergy. European Journal of Allergy and Clinical Immunology, ISSN 0105-4538, E-ISSN 1398-9995, Vol. 67, no 6, p. 831-833Article in journal (Refereed)
    Abstract [en]

    Monozygotic (MZ) twins discordant for complex diseases may help to find disease mechanisms that are not due to genetic variants. Intermittent allergic rhinitis (IAR) is an optimal disease model because it occurs at defined time points each year, owing to known external antigens. We hypothesized that MZ twins discordant for IAR could help to find gene expression differences that are not dependent on genetic variants. We collected blood outside of the season from MZ twins discordant for IAR, challenged their peripheral blood mononuclear cells (PBMC) with pollen allergen in vitro, collected supernatants and isolated CD4+ T cells. We identified disease-relevant mRNAs and proteins that differed between the discordant MZ twins. By contrast, no differences in microRNA expression were found. Our results indicate that MZ twins discordant for IAR is an optimal model to identify disease mechanisms that are not due to genetic variants.

  • 13.
    Wang, Hui
    et al.
    Unit for Clinical Systems Biology, Queen Silvia Children's Hospital, University of Gothenburg, Gothenburg, Sweden.
    Barrenäs, Fredrik
    Unit for Clinical Systems Biology, Queen Silvia Children's Hospital, University of Gothenburg, Gothenburg, Sweden.
    Bruhn, Sören
    Unit for Clinical Systems Biology, Queen Silvia Children's Hospital, University of Gothenburg, Gothenburg, Sweden.
    Mobini, Reza
    Unit for Clinical Systems Biology, Queen Silvia Children's Hospital, University of Gothenburg, Gothenburg, Sweden.
    Benson, Mikael
    Unit for Clinical Systems Biology, Queen Silvia Children's Hospital, University of Gothenburg, Gothenburg, Sweden.
    Increased IFN-gamma activity in seasonal allergic rhinitis is decreased by corticosteroid treatment2009In: Journal of Allergy and Clinical Immunology, ISSN 0091-6749, E-ISSN 1097-6825, Vol. 124, no 6, p. 1360-1362Article in journal (Refereed)
  • 14.
    Wang, Hui
    et al.
    University of Gothenburg, Sweden.
    Chavali, S.
    University of Gothenburg, Sweden.
    Mobini, R.
    University of Gothenburg, Sweden.
    Muraro, A.
    University of Padua, Italy.
    Barbon, F.
    University of Padua, Italy.
    Boldrin, D.
    University of Padua, Italy.
    Aberg, N.
    The Queen Silvia Children’s Hospital, Gothenburg, Sweden.
    Benson, Mikael
    The Queen Silvia Children’s Hospital, Gothenburg, Sweden.
    A pathway-based approach to find novel markers of local glucocorticoid treatment in intermittent allergic rhinitis2011In: Allergy. European Journal of Allergy and Clinical Immunology, ISSN 0105-4538, E-ISSN 1398-9995, Vol. 66, no 1, p. 132-140Article in journal (Refereed)
    Abstract [en]

    BACKGROUND: Glucocorticoids (GCs) may affect the expression of hundreds of genes in different cells and tissues from patients with intermittent allergic rhinitis (IAR). It is a formidable challenge to understand these complex changes by studying individual genes. In this study, we aimed to identify (i) pathways affected by local GC treatment and (ii) examine if those pathways could be used to find novel markers of local GC treatment in nasal fluids from patients with IAR. METHODS: Gene expression microarray- and iTRAQ-based proteomic analyses of nasal fluids, nasal fluid cells and nasal mucosa from patients with IAR were performed to find pathways enriched for differentially expressed genes and proteins. Proteins representing those pathways were analyzed with ELISA in an independent material of nasal fluids from 23 patients with IAR before and after treatment with a local GC. RESULTS: Transcriptomal and proteomic high-throughput analyses of nasal fluids, nasal fluid cells and nasal mucosal showed that local GC treatment affected a wide variety of pathways in IAR such as the glucocorticoid receptor pathway and the acute phase response pathway. Extracellular proteins encoded by genes in those pathways were analyzed in an independent material of nasal fluids from patients. Proteins that changed significantly in expression included known biomarkers such as eosinophil cationic protein but also proteins that had not been previously described in IAR, namely CCL2, M-CSF, CXCL6 and apoH. CONCLUSION: Pathway-based analyses of genomic and proteomic high-throughput data can be used as a complementary approach to identify novel potential markers of GC treatment in IAR.

  • 15.
    Wang, Hui
    et al.
    Linköping University, Department of Clinical and Experimental Medicine, Pediatrics. Linköping University, Faculty of Health Sciences.
    Gottfries, Johan
    University of Gothenburg.
    Barrenäs, Fredrik
    Linköping University, Department of Clinical and Experimental Medicine, Pediatrics. Linköping University, Faculty of Health Sciences.
    Benson, Mikael
    Linköping University, Department of Clinical and Experimental Medicine, Pediatrics. Linköping University, Faculty of Health Sciences.
    Identification of Novel Biomarkers in Seasonal Allergic Rhinitis by Combining Proteomic, Multivariate and Pathway Analysis2011In: PLoS ONE, ISSN 1932-6203, E-ISSN 1932-6203, Vol. 6, no 8, p. e23563-Article in journal (Refereed)
    Abstract [en]

    Background: Glucocorticoids (GCs) play a key role in the treatment of seasonal allergic rhinitis (SAR). However, some patients show a low response to GC treatment. We hypothesized that proteins that correlated to discrimination between symptomatic high and low responders (HR and LR) to GC treatment might be regulated by GCs and therefore suitable as biomarkers for GC treatment.

    Methodology/Principal Findings: We identified 953 nasal fluid proteins in symptomatic HR and LR with a LC MS/MS based-quantitative proteomics analysis and performed multivariate analysis to identify a combination of proteins that best separated symptomatic HR and LR. Pathway analysis showed that those proteins were most enriched in the acute phase response pathway. We prioritized candidate biomarkers for GC treatment based on the multivariate and pathway analysis. Next, we tested if those candidate biomarkers differed before and after GC treatment in nasal fluids from 40 patients with SAR using ELISA. Several proteins including ORM (P<0.0001), APOH (P<0.0001), FGA (P<0.01), CTSD (P<0.05) and SERPINB3 (P<0.05) differed significantly before and after GC treatment. Particularly, ORM (P<0.01), FGA (P<0.05) and APOH (P<0.01) that belonged to the acute phase response pathway decreased significantly in HR but not LR before and after GC treatment.

    Conclusions/Significance: We identified several novel biomarkers for GC treatment response in SAR with combined proteomics, multivariate and pathway analysis. The analytical principles may be generally applicable to identify biomarkers in clinical studies of complex diseases.

  • 16.
    Zhang, Huan
    et al.
    Linköping University, Department of Clinical and Experimental Medicine, Pediatrics. Linköping University, Faculty of Health Sciences.
    Cardell, Lars Olaf
    Division of ENT diseases Huddinge, CLINTEC, Karolinska Institute, Stockholm, Sweden.
    Björkander, Janne
    Linköping University, Department of Clinical and Experimental Medicine, Division of Inflammation Medicine. Linköping University, Faculty of Health Sciences.
    Benson, Mikael
    Linköping University, Department of Clinical and Experimental Medicine, Pediatrics. Linköping University, Faculty of Health Sciences.
    Wang, Hui
    Linköping University, Department of Clinical and Experimental Medicine, Pediatrics. Linköping University, Faculty of Health Sciences.
    Comprehensive Profiling of Peripheral Immune Cells and Subsets in Patients with Intermittent Allergic Rhinitis Compared to Healthy Controls and After Treatment with Glucocorticoids2013In: Inflammation, ISSN 0360-3997, E-ISSN 1573-2576, Vol. 36, no 4, p. 821-829Article in journal (Refereed)
    Abstract [en]

    Intermittent allergic rhinitis (IAR) is a common allergic disease, which is associated with local infiltration of T cells, eosinophils, and basophils. However, changes of circulating inflammatory cells may reflect local and systemic allergic inflammation and potentially, also the response to treatment with glucocorticoids (GCs). In this study, we comprehensively profiled peripheral blood immune cells and subsets from 12 patients with IAR during the birch pollen season before and after GC treatment and nine healthy controls by flow cytometry. Orthogonal partial least squares discriminant analysis (OPLS-DA) identified that peripheral immune cells and subsets markedly separated symptomatic patients and controls. Eosinophils, basophils, and Th2 cells contributed most to the separation. However, there was no good separation between patients before and after GC treatment. Local allergic inflammation in the nasal mucosa is associated with increased circulating Th2 cells, eosinophils, and basophils. Local GC treatment has limited effects on circulating immune cells.

  • 17.
    Zhang, Huan
    et al.
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences.
    Nestor, Colm
    Linköping University, Department of Clinical and Experimental Medicine, Division of Cell Biology. Linköping University, Faculty of Health Sciences.
    Zhao, Shuli
    Nanjing Medical University, Nanjing, China.
    Lentini, Antonio
    Linköping University, Department of Clinical and Experimental Medicine, Division of Cell Biology. Linköping University, Faculty of Health Sciences.
    Bohle, Barbara
    Medical University of Vienna, Austria.
    Benson, Mikael
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences.
    Wang, Hui
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences.
    Profiling of human CD4+ T-cell subsets identifies the TH2-specific noncoding RNA GATA3-AS12013In: Journal of Allergy and Clinical Immunology, ISSN 0091-6749, E-ISSN 1097-6825, Vol. 132, no 4, p. 1005-1008Article in journal (Other academic)
  • 18.
    Zhao, Yelin
    et al.
    Linköping University, Department of Clinical and Experimental Medicine. Linköping University, Faculty of Health Sciences.
    Wang, Hui
    Linköping University, Department of Clinical and Experimental Medicine. Linköping University, Faculty of Health Sciences.
    Gustafsson, Mika
    Linköping University, Department of Clinical and Experimental Medicine. Linköping University, Faculty of Health Sciences.
    Muraro, Antonella
    University of Padua, Italy .
    Bruhn, Sören
    Linköping University, Department of Clinical and Experimental Medicine. Linköping University, Faculty of Health Sciences.
    Benson, Mikael
    Linköping University, Department of Clinical and Experimental Medicine. Linköping University, Faculty of Health Sciences.
    Combined Multivariate and Pathway Analyses Show That Allergen-Induced Gene Expression Changes in CD4(+) T Cells Are Reversed by Glucocorticoids2012In: PLoS ONE, ISSN 1932-6203, E-ISSN 1932-6203, Vol. 7, no 6Article in journal (Refereed)
    Abstract [en]

    Background: Glucocorticoids (GCs) play a key role in the treatment of allergy. However, the genome-wide effects of GCs on gene expression in allergen-challenged CD4(+) T cells have not been described. The aim of this study was to perform a genome-wide analysis to investigate whether allergen-induced gene expression changes in CD4(+) T cells could be reversed by GCs. Methodology/Principal Findings: Gene expression microarray analysis was performed to profile gene expression in diluent( D), allergen- (A), and allergen + hydrocortisone- (T) challenged CD4(+) T cells from patients with seasonal allergic rhinitis. Principal component analysis (PCA) showed good separation of the three groups. To identify the correlation between changes in gene expression in allergen-challenged CD4(+) T cells before and after GC treatment, we performed orthogonal partial least squares discriminant analysis (OPLS-DA) followed by Pearson correlation analysis. This revealed that allergen-induced genes were widely reversed by GC treatment (r = -0.77, Pless than0.0001). We extracted 547 genes reversed by GC treatment from OPLS-DA models based on their high contribution to the discrimination and found that those genes belonged to several different inflammatory pathways including TNFR2 Signalling, Interferon Signalling, Glucocorticoid Receptor Signalling and T Helper Cell Differentiation. The results were supported by gene expression microarray analyses of two independent materials. Conclusions/Significance: Allergen-induced gene expression changes in CD4(+) T cells were reversed by treatment with glucocorticoids. The top allergen-induced genes that reversed by GC treatment belonged to several inflammatory pathways and genes of known or potential relevance for allergy.

  • 19.
    Zhou, Yuan
    et al.
    Nanjing University, Peoples R China; Nanjing University, Peoples R China; Nanjing University, Peoples R China.
    Wang, Hui
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Medicine and Health Sciences.
    Wang, Cong
    Nanjing University, Peoples R China; Nanjing University, Peoples R China; Nanjing University, Peoples R China.
    Qiu, Xuefeng
    Nanjing University, Peoples R China.
    Benson, Mikael
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Heart and Medicine Center, Allergy Center.
    Yin, Xiaoqin
    Nanjing University, Peoples R China; Nanjing University, Peoples R China; Nanjing University, Peoples R China.
    Xiang, Zou
    University of Gothenburg, Sweden.
    Li, Dongmei
    Nanjing University, Peoples R China; Nanjing University, Peoples R China; Nanjing University, Peoples R China.
    Han, Xiaodong
    Nanjing University, Peoples R China; Nanjing University, Peoples R China; Nanjing University, Peoples R China.
    Roles of miRNAs in microcystin-LR-induced Sertoli cell toxicity2015In: Toxicology and Applied Pharmacology, ISSN 0041-008X, E-ISSN 1096-0333, Vol. 287, no 1Article in journal (Refereed)
    Abstract [en]

    Microcystin (MC)-LR, a cyclic heptapeptide, is a potent reproductive system toxin. To understand the molecular mechanisms of MC-induced reproductive system cytotoxicity, we evaluated global changes of miRNA and mRNA expression in mouse Sertoli cells following MC-LR treatment. Our results revealed that the exposure to MC-LR resulted in an altered miRNA expression profile that might be responsible for the modulation of mRNA expression. Bio-functional analysis indicated that the altered genes were involved in specific cellular processes, including cell death and proliferation. Target gene analysis suggested that junction injury in Sertoli cells exposed to MC-LR might be mediated by miRNAs through the regulation of the Sertoli cell-Sertoli cell pathway. Collectively, these findings may enhance our understanding on the modes of action of MC-LR on mouse Sertoli cells as well as the molecular mechanisms underlying the toxicity of MC-LR on the male reproductive system.

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