TY - JOUR A1 - Balkenhol, Johannes A1 - Kaltdorf, Kristin V. A1 - Mammadova-Bach, Elmina A1 - Braun, Attila A1 - Nieswandt, Bernhard A1 - Dittrich, Marcus A1 - Dandekar, Thomas T1 - Comparison of the central human and mouse platelet signaling cascade by systems biological analysis JF - BMC Genomics N2 - Background Understanding the molecular mechanisms of platelet activation and aggregation is of high interest for basic and clinical hemostasis and thrombosis research. The central platelet protein interaction network is involved in major responses to exogenous factors. This is defined by systemsbiological pathway analysis as the central regulating signaling cascade of platelets (CC). Results The CC is systematically compared here between mouse and human and major differences were found. Genetic differences were analysed comparing orthologous human and mouse genes. We next analyzed different expression levels of mRNAs. Considering 4 mouse and 7 human high-quality proteome data sets, we identified then those major mRNA expression differences (81%) which were supported by proteome data. CC is conserved regarding genetic completeness, but we observed major differences in mRNA and protein levels between both species. Looking at central interactors, human PLCB2, MMP9, BDNF, ITPR3 and SLC25A6 (always Entrez notation) show absence in all murine datasets. CC interactors GNG12, PRKCE and ADCY9 occur only in mice. Looking at the common proteins, TLN1, CALM3, PRKCB, APP, SOD2 and TIMP1 are higher abundant in human, whereas RASGRP2, ITGB2, MYL9, EIF4EBP1, ADAM17, ARRB2, CD9 and ZYX are higher abundant in mouse. Pivotal kinase SRC shows different regulation on mRNA and protein level as well as ADP receptor P2RY12. Conclusions Our results highlight species-specific differences in platelet signaling and points of specific fine-tuning in human platelets as well as murine-specific signaling differences. KW - interspecies comparison KW - transcriptome KW - proteome KW - platelet KW - network KW - signaling KW - mouse KW - human KW - interactome KW - cascade Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-230377 VL - 21 ER - TY - JOUR A1 - Doll, Julia A1 - Kolb, Susanne A1 - Schnapp, Linda A1 - Rad, Aboulfazl A1 - Rüschendorf, Franz A1 - Khan, Imran A1 - Adli, Abolfazl A1 - Hasanzadeh, Atefeh A1 - Liedtke, Daniel A1 - Knaup, Sabine A1 - Hofrichter, Michaela AH A1 - Müller, Tobias A1 - Dittrich, Marcus A1 - Kong, Il-Keun A1 - Kim, Hyung-Goo A1 - Haaf, Thomas A1 - Vona, Barbara T1 - Novel loss-of-function variants in CDC14A are associated with recessive sensorineural hearing loss in Iranian and Pakistani patients JF - International Journal of Molecular Sciences N2 - CDC14A encodes the Cell Division Cycle 14A protein and has been associated with autosomal recessive non-syndromic hearing loss (DFNB32), as well as hearing impairment and infertile male syndrome (HIIMS) since 2016. To date, only nine variants have been associated in patients whose initial symptoms included moderate-to-profound hearing impairment. Exome analysis of Iranian and Pakistani probands who both showed bilateral, sensorineural hearing loss revealed a novel splice site variant (c.1421+2T>C, p.?) that disrupts the splice donor site and a novel frameshift variant (c.1041dup, p.Ser348Glnfs*2) in the gene CDC14A, respectively. To evaluate the pathogenicity of both loss-of-function variants, we analyzed the effects of both variants on the RNA-level. The splice variant was characterized using a minigene assay. Altered expression levels due to the c.1041dup variant were assessed using RT-qPCR. In summary, cDNA analysis confirmed that the c.1421+2T>C variant activates a cryptic splice site, resulting in a truncated transcript (c.1414_1421del, p.Val472Leufs*20) and the c.1041dup variant results in a defective transcript that is likely degraded by nonsense-mediated mRNA decay. The present study functionally characterizes two variants and provides further confirmatory evidence that CDC14A is associated with a rare form of hereditary hearing loss. KW - CDC14A KW - DFNB32 KW - autosomal recessive hearing loss KW - exome sequencing KW - splicing KW - frameshift KW - non-sense mediated mRNA decay Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-285142 SN - 1422-0067 VL - 21 IS - 1 ER - TY - JOUR A1 - Doll, Julia A1 - Vona, Barbara A1 - Schnapp, Linda A1 - Rüschendorf, Franz A1 - Khan, Imran A1 - Khan, Saadullah A1 - Muhammad, Noor A1 - Alam Khan, Sher A1 - Nawaz, Hamed A1 - Khan, Ajmal A1 - Ahmad, Naseer A1 - Kolb, Susanne M. A1 - Kühlewein, Laura A1 - Labonne, Jonathan D. J. A1 - Layman, Lawrence C. A1 - Hofrichter, Michaela A. H. A1 - Röder, Tabea A1 - Dittrich, Marcus A1 - Müller, Tobias A1 - Graves, Tyler D. A1 - Kong, Il-Keun A1 - Nanda, Indrajit A1 - Kim, Hyung-Goo A1 - Haaf, Thomas T1 - Genetic Spectrum of Syndromic and Non-Syndromic Hearing Loss in Pakistani Families JF - Genes N2 - The current molecular genetic diagnostic rates for hereditary hearing loss (HL) vary considerably according to the population background. Pakistan and other countries with high rates of consanguineous marriages have served as a unique resource for studying rare and novel forms of recessive HL. A combined exome sequencing, bioinformatics analysis, and gene mapping approach for 21 consanguineous Pakistani families revealed 13 pathogenic or likely pathogenic variants in the genes GJB2, MYO7A, FGF3, CDC14A, SLITRK6, CDH23, and MYO15A, with an overall resolve rate of 61.9%. GJB2 and MYO7A were the most frequently involved genes in this cohort. All the identified variants were either homozygous or compound heterozygous, with two of them not previously described in the literature (15.4%). Overall, seven missense variants (53.8%), three nonsense variants (23.1%), two frameshift variants (15.4%), and one splice-site variant (7.7%) were observed. Syndromic HL was identified in five (23.8%) of the 21 families studied. This study reflects the extreme genetic heterogeneity observed in HL and expands the spectrum of variants in deafness-associated genes. KW - genetic diagnosis KW - consanguinity KW - genome-wide linkage analysis KW - hearing loss KW - Pakistan KW - exome sequencing Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-219293 SN - 2073-4425 VL - 11 IS - 11 ER - TY - JOUR A1 - Urban, Lara A1 - Remmele, Christian W. A1 - Dittrich, Marcus A1 - Schwarz, Roland F. A1 - Müller, Tobias T1 - covRNA: discovering covariate associations in large-scale gene expression data JF - BMC Reserach Notes N2 - Objective The biological interpretation of gene expression measurements is a challenging task. While ordination methods are routinely used to identify clusters of samples or co-expressed genes, these methods do not take sample or gene annotations into account. We aim to provide a tool that allows users of all backgrounds to assess and visualize the intrinsic correlation structure of complex annotated gene expression data and discover the covariates that jointly affect expression patterns. Results The Bioconductor package covRNA provides a convenient and fast interface for testing and visualizing complex relationships between sample and gene covariates mediated by gene expression data in an entirely unsupervised setting. The relationships between sample and gene covariates are tested by statistical permutation tests and visualized by ordination. The methods are inspired by the fourthcorner and RLQ analyses used in ecological research for the analysis of species abundance data, that we modified to make them suitable for the distributional characteristics of both, RNA-Seq read counts and microarray intensities, and to provide a high-performance parallelized implementation for the analysis of large-scale gene expression data on multi-core computational systems. CovRNA provides additional modules for unsupervised gene filtering and plotting functions to ensure a smooth and coherent analysis workflow. KW - Multivariate analysis KW - Fourthcorner analysis KW - RLQ analysis KW - Transcriptomics KW - High-throughput data KW - Visualization KW - Ordination methods KW - RNA-Seq analysis KW - Microarray analysis Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-229258 VL - 13 ER -