Juvenile idiopathic arthritis (JIA) is the most common chronic childhood rheumatic disease in the Western world. To identify novel JIA predisposing loci, a genome-wide association study (GWAS) in 814 Caucasian JIA cases and 3058 Caucasian controls was completed. After adjusting for the most significant HLA associations, the strongest novel associations included rs6479891 (10q21, odds ratio (OR)=1.59, P=1.3x10-8) and rs10761747 (OR=1.34, P=4.0x10-5) within JMJD1C; rs12719740 (15q26, OR=1.47, P=3.3x10-7) near FAM169B; rs4688011 (3q13, OR=1.33, P=1.1x10-4) within C3orf1 and rs4254850 (4q31, OR=0.85, P=7.8x10-3) near IL15. Eleven SNPs were genotyped in Caucasian replication cohorts (1744 cases, 7010 controls) and meta-analysis continued to provide evidence for association with three of the SNPs (rs6479891, P=4.3x10-5; rs12719740, P=5.2x10-4; rs4688011, P=3.6x10-7). Analysis of expression data from 68 JIA cases and 23 controls overlapping in the GWAS cohort1 and published lymphoblastoid cell lines (LCL)2 showed cis eQTL associations for JMJD1C SNPs (P=0.01 and P=1.6x10-6, respectively), and the C3orf1 SNP (P=5.7x10-6).
Genome-wide association analysis of juvenile idiopathic arthritis identifies a new susceptibility locus at chromosomal region 3q13.
Sex, Specimen part, Disease, Disease stage, Race
View SamplesAnalysis of gene expressions in mouse splenic dendritic cells (DCs). DCs were purified into two subsets, CD8-positive and -negative ones. DCs were expanded in vivo by injecting Flt3L-producing tumors into the backs of C57BL/6 mice.
A new triggering receptor expressed on myeloid cells (Trem) family member, Trem-like 4, binds to dead cells and is a DNAX activation protein 12-linked marker for subsets of mouse macrophages and dendritic cells.
No sample metadata fields
View SamplesWe study the effect of four QTN in RME1, IME1 & RSF1 that are causative for variation in sporulation efficiency. We investigate the relationship between genotype, gene expression and phenotype and whether the amount of gene expression variation explained by the sporulation QTN is predictive of the amount of phenotypic variation explained by them. Overall design: RNA-Seq analysis of 4 replicates each of 16 allele replacement panel strains containing all combinations of the four sporulation QTN after 2 hours in sporulation medium.
Single nucleotide variants in transcription factors associate more tightly with phenotype than with gene expression.
Subject
View SamplesMethylated DNA binding protein 2 (MBD2) has been shown to bind specific methylated promoters and suppress transcription. Here we systematically investigate MBD2 suppression by overexpressing MBD2 in MCF-10A cells and generating gene expression profiles of overexpressing cells and normal MCF-10A cells.
Methylated DNA binding domain protein 2 (MBD2) coordinately silences gene expression through activation of the microRNA hsa-mir-496 promoter in breast cancer cell line.
Cell line, Treatment
View SamplesWe enriched for prostate cancer cells by the selection system used in human iPS purification. Gene expression signature-based chemical prediction enabled us to identify candidate drugs for reverting the EOS (early transposon promoter, OCT4 and SOX2 enhancer) signature with chemoresistance into a chemosensitive phenotype.
Identification of drug candidate against prostate cancer from the aspect of somatic cell reprogramming.
Specimen part, Cell line, Treatment
View SamplesSide population (SP) cells are identified based on their capacity to efflux of the fluorescent dye Hoechst 33342, and are enriched for hematopoietic stem cells (HSCs) in mammalian bone marrow. We recently demonstrated that SP cells were present in the teleost kidney, the main hematopoietic organ in teleosts, and were enriched for HSCs. In this analysis, to identify the regulated genes in teleost HSCs, gene expression analysis of zebrafish kidney SP cells were performed using the GeneChip Zebrafish Genome Array.
Comparative gene expression analysis of zebrafish and mammals identifies common regulators in hematopoietic stem cells.
No sample metadata fields
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Definition of the landscape of promoter DNA hypomethylation in liver cancer.
Specimen part, Cell line, Subject
View SamplesN6-methyladenosine (m6A) is the most abundant internal modification of eukaryotic mRNA. This modification has previously been shown to alter the export kinetics for mRNAs though the molecular details surrounding this phenomenon remain poorly understood. Here we show that the m6A complex (WTAP, KIAA1429, METTL3/14) drives recruitment of the TREX mRNA export complex onto m6A modified mRNAs and this process is essential for the efficient export of certain mRNAs. Depletion of the core m6A complex leads to loss of TREX from mRNAs which undergo the m6A modification. We show that TREX stimulates recruitment of the m6A reader protein YTHDC1 to the mRNP and the m6A complex influences the interaction of TREX with YTHDC1. We suggest that m6A acts as a surrogate for other TREX recruitment mechanisms such as splicing and 5' capping, in long internal and final exons which may otherwise be devoid of this essential complex for mRNA export. Overall design: mRNA profiles of control and Virilizer/WTAP RNAi samples in cytoplasmic and nuclear cell fractions generated by mRNA-seq in triplicate using HiSeq 2500
The m<sup>6</sup>A-methylase complex recruits TREX and regulates mRNA export.
Cell line, Subject
View SamplesExtensive loss of DNA methylation is a hallmark of cancer. The role of hypomethylation in altering gene expression in cancer cells has been poorly understood. Hepatic cellular carcinoma (HCC) is one of the most common human cancers. We use HCC as a model to investigate hypomethylation in cancer by a combination of methylated DNA immunoprecipitation and hybridization with comprehensive promoter arrays. We identify approximately 2,800 promoters that are hypomethylated in tumor samples. The hypomethylated promoters appear in clusters across the genome suggesting a high-level organization behind the epigenomic changes in cancer. The genes whose promoters are demethylated are mainly involved in cell growth, cell adhesion and communication, signal transduction, mobility and invasion; functions that are essential for cancer progression and metastasis. Previous studies suggested that MBD2 was involved in demethylation of uPA and MMP2 genes in human breast and prostate cancer cell lines. We extend these results here showing that whereas MBD2 depletion in normal liver cells has little or no effect, its depletion in the human hepatocellular carcinoma cell line HepG2 and the adenocarcinoma cell line SkHep1 results in suppression of cell growth, anchorage-independent growth and invasiveness, as well as an increase in promoter methylation and silencing of several of the genes that are hypomethylated in tumors. Our studies establish for the first time the rules governing hypomethylation of promoters in liver cancer and define the potential functional role of hypomethylation in cancer.
Definition of the landscape of promoter DNA hypomethylation in liver cancer.
Specimen part, Subject
View SamplesThis study aimed to clarify the role of PRMT5 in the hematopoietic stem cell (HSC) compartment, and elucidate the functional relevance of PRMT5-mediated splicing in HSCs. We confirm the cell intrinsic requirement for PRMT5 in HSC maintenance, and present evidence suggesting that PRMT5 deficiency perturbs HSC proteostasis. Notably, we also uncover a critical role for PRMT5 in maintaining HSC genomic integrity by modulating splicing of genes involved in DNA repair; loss of which leads to unresolved DNA damage, p53 activation and rapid HSC exhaustion. Overall, these findings establish PRMT5-mediated splicing as a major determinant of HSC fate, and highlight the need to maintain an adequate level of PRMT5 activity in HSCs. Overall design: Hematopoietic stem cells (HSCs; Lineage-Sca-1+CD48-CD150+), isolated from Prmt5fl/fl or Prmt5?/? littermate- and gender-matched mice 7 days post-induction, were subjected to RNA-seq. HSCs for each independent sample were obtained from bone marrow cells pooled from two mice. Three independent samples were obtained for each group.
PRMT5 Modulates Splicing for Genome Integrity and Preserves Proteostasis of Hematopoietic Stem Cells.
Specimen part, Cell line, Subject
View Samples