54
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Dissecting genetics of cutaneous miRNA in a mouse model of an autoimmune blistering disease

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          MicroRNAs ( miRNAs) are small endogenous non-coding RNAs that control genes at post-transcriptional level. They are essential for development and tissue differentiation, and such altered miRNA expression patterns are linked to the pathogenesis of inflammation and cancer. There is evidence that miRNA expression is genetically controlled similar to the transcription of protein-coding genes and previous studies identified quantitative trait loci (QTL) for miRNA expression in the liver. So far, little attention has been paid to miRNA expression in the skin. Moreover, epistatic control of miRNA expression remains unknown. In this study, we characterize genetic regulation of cutaneous miRNA and their correlation with skin inflammation using a previously established murine autoimmune-prone advanced intercross line.

          Results

          We identified in silico 42 eQTL controlling the expression of 38 cutaneous miRNAs and furthermore found two chromosomal hot-spots on chromosomes 2 and 8 that control the expression of multiple miRNAs. Moreover, for 8 miRNAs an interacting effect from pairs of SNPs was observed. Combining the constraints on genes from the statistical interaction of their loci and further using curated protein interaction networks, the number of candidate genes for association of miRNAs was reduced to a set of several genes. A cluster analysis identified miR-379 and miR-223 to be associated with EBA severity/onset, where miR-379 was observed to be associated to loci on chromosome 6.

          Conclusion

          The murine advanced intercross line allowed us to identify the genetic loci regulating multiple miRNA in skin. The recurrence of trans-eQTL and epistasis suggest that cutaneous miRNAs are regulated by yet an unexplored complex gene networks. Further, using co-expression analysis of miRNA expression levels we showed that multiple miRNA contribute to multiple pathways that might be involved in pathogenesis of autoimmune skin blistering disease. Specifically, we provide evidence that miRNA such as miR-223 and miR-379 may play critical role in disease progression and severity.

          Electronic supplementary material

          The online version of this article (doi:10.1186/s12864-016-2455-2) contains supplementary material, which is available to authorized users.

          Related collections

          Most cited references28

          • Record: found
          • Abstract: found
          • Article: not found

          Chromatin structure analyses identify miRNA promoters.

          Although microRNAs (miRNAs) are key regulators of gene expression in normal human physiology and disease, transcriptional regulation of miRNAs is poorly understood, because most miRNA promoters have not yet been characterized. We identified the proximal promoters of 175 human miRNAs by combining nucleosome mapping with chromatin signatures for promoters. We observe that one-third of intronic miRNAs have transcription initiation regions independent from their host promoters and present a list of RNA polymerase II- and III-occupied miRNAs. Nucleosome mapping and linker sequence analyses in miRNA promoters permitted accurate prediction of transcription factors regulating miRNA expression, thus identifying nine miRNAs regulated by the MITF transcription factor/oncoprotein in melanoma cells. Furthermore, DNA sequences encoding mature miRNAs were found to be preferentially occupied by positioned-nucleosomes, and the 3' end sites of known genes exhibited nucleosome depletion. The high-throughput identification of miRNA promoter and enhancer regulatory elements sheds light on evolution of miRNA transcription and permits rapid identification of transcriptional networks of miRNAs.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Genomic analysis of human microRNA transcripts.

            MicroRNAs (miRNAs) are important genetic regulators of development, differentiation, growth, and metabolism. The mammalian genome encodes approximately 500 known miRNA genes. Approximately 50% are expressed from non-protein-coding transcripts, whereas the rest are located mostly in the introns of coding genes. Intronic miRNAs are generally transcribed coincidentally with their host genes. However, the nature of the primary transcript of intergenic miRNAs is largely unknown. We have performed a large-scale analysis of transcription start sites, polyadenylation signals, CpG islands, EST data, transcription factor-binding sites, and expression ditag data surrounding intergenic miRNAs in the human genome to improve our understanding of the structure of their primary transcripts. We show that a significant fraction of primary transcripts of intergenic miRNAs are 3-4 kb in length, with clearly defined 5' and 3' boundaries. We provide strong evidence for the complete transcript structure of a small number of human miRNAs.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              A method for fine mapping quantitative trait loci in outbred animal stocks.

              High-resolution mapping of quantitative trait loci (QTL) in animals has proved to be difficult because the large effect sizes detected in crosses between inbred strains are often caused by numerous linked QTLs, each of small effect. In a study of fearfulness in mice, we have shown it is possible to fine map small-effect QTLs in a genetically heterogeneous stock (HS). This strategy is a powerful general method of fine mapping QTLs, provided QTLs detected in crosses between inbred strains that formed the HS can be reliably detected in the HS. We show here that single-marker association analysis identifies only two of five QTLs expected to be segregating in the HS and apparently limits the strategy's usefulness for fine mapping. We solve this problem with a multipoint analysis that assigns the probability that an allele descends from each progenitor in the HS. The analysis does not use pedigrees but instead requires information about the HS founder haplotypes. With this method we mapped all three previously undetected loci [chromosome (Chr.) 1 logP 4.9, Chr. 10 logP 6.0, Chr. 15 logP 4.0]. We show that the reason for the failure of single-marker association to detect QTLs is its inability to distinguish opposing phenotypic effects when they occur on the same marker allele. We have developed a robust method of fine mapping QTLs in genetically heterogeneous animals and suggest it is now cost effective to undertake genomewide high-resolution analysis of complex traits in parallel on the same set of mice.
                Bookmark

                Author and article information

                Contributors
                Yask.Gupta@uksh.de
                Steffen.Moeller@uksh.de
                witte_mareike@web.de
                belheouane@evolbio.mpg.de
                tanya.sez@gmail.com
                Misa.Hirose@uksh.de
                Artem.Vorobyev@uksh.de
                niesar@imm.uni-luebeck.de
                Julia.Bischof@uksh.de
                Ralf.Ludwig@uksh.de
                Detlef.Zillikens@uksh.de
                Christian.Sadik@uksh.de
                restle@imm.uni-luebeck.de
                r.haesler@mucosa.de
                baines@evolbio.mpg.de
                0451 500-5250 , saleh.ibrahim@uksh.de
                Journal
                BMC Genomics
                BMC Genomics
                BMC Genomics
                BioMed Central (London )
                1471-2164
                16 February 2016
                16 February 2016
                2016
                : 17
                : 112
                Affiliations
                [ ]Lübeck Institute of Experimental Dermatology, University of Lübeck, Lübeck, Germany
                [ ]Department of Dermatology, University of Lübeck, Lübeck, Germany
                [ ]Max Planck Institute for Evolutionary Biology, Plön, Germany and Institute for Experimental Medicine, University of Kiel, Kiel, Germany
                [ ]Institute of Molecular Medicine, University of Lübeck, Lübeck, Germany
                [ ]IKMB, Molecular Cell Biology, Kiel, Germany
                Article
                2455
                10.1186/s12864-016-2455-2
                4755013
                26879236
                5cfcd9b2-162e-4c7f-afcf-ec45f42d4855
                © Gupta et al. 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.

                History
                : 18 April 2015
                : 9 February 2016
                Funding
                Funded by: Genes, Environment and Inflammation
                Award ID: GRK 1743/1
                Award Recipient :
                Funded by: Modulation of Autoimmunity
                Award ID: GRK1727/1
                Award Recipient :
                Funded by: Excellence Cluster Inflammation at Interfaces
                Award ID: EXC 306/2
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2016

                Genetics
                microrna,expression qtl,epistasis,autoimmune skin blistering disease,co-expression analysis

                Comments

                Comment on this article