Background
Adapted Boolean network models for extracellular matrix formation.
Sex, Age
View SamplesBackground. Rheumatoid arthritis (RA) is a chronic inflammatory and destructive joint disease, characterized by overexpression of pro-inflammatory/-destructive genes and other activating genes (e.g., proto-oncogenes) in the synovial membrane (SM). The gene expression in disease is often characterized by significant inter-individual variances via specific synchronization/ desynchronization of gene expression. To elucidate the contribution of the variance to the pathogenesis of disease, expression variances were tested in SM samples of RA patients, osteoarthritis (OA) patients, and normal controls (NC).
Identification of intra-group, inter-individual, and gene-specific variances in mRNA expression profiles in the rheumatoid arthritis synovial membrane.
Sex, Age, Disease
View SamplesRNA expression was measured by RNA-seq in Drosophila ML-DmBG3-c2 cells depleted for proteins involved in sister chromatid cohesion, and in developing third instar wing discs with or withough brca2 gene mutations Overall design: RNA expression in depleted cells was compared to mock treated cells and RNA expression in wing discs from brca2 mutant Drosophila was compared to expression in wing discs without brca2 mutations This series includes mock RNAi treated samples re-used from GSE100547.
Brca2, Pds5 and Wapl differentially control cohesin chromosome association and function.
Specimen part, Cell line, Subject
View SamplesRNA expression was measured using RNA-seq Overall design: RNA levels in Mock-treated control Drosophila cells were compared to RNA levels in cells RNAi depleted for Ph, Sce, and Pc
Polycomb repressive complex 1 modifies transcription of active genes.
Subject
View SamplesRNA nascent transcription was measured using NT-seq Overall design: RNA nascent transcript levels in Mock-treated control Drosophila cells were compared to those in cells RNAi depleted for Ph and Sce
Polycomb repressive complex 1 modifies transcription of active genes.
Subject
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Cohesin and polycomb proteins functionally interact to control transcription at silenced and active genes.
Sex, Specimen part
View SamplesCohesin is crucial for proper chromosome segregation, but also regulates gene transcription and organism development by poorly understood mechanisms. We find that in Drosophila, cohesin functionally interacts with Polycomb group (PcG) silencing proteins at both silenced and active genes. Cohesin unexpectedly facilitates binding of Polycomb Repressive Complex 1 (PRC1) to many active genes. In contrast, cohesin and PRC1 binding are mutually antagonistic at silenced genes. PRC1 depletion decreases phosphorylated RNA polymerase and mRNA at many active genes, but increases them at silenced genes. Cohesin also facilitates long-range interactions between Polycomb Response Elements in the invected-engrailed gene complex where it represses transcription. These multiple distinct cohesin-PcG interactions reveal a previously unrecognized role for PRC1 in facilitating productive gene transcription, and provide new insights into how cohesin and PRC1 control development.
Cohesin and polycomb proteins functionally interact to control transcription at silenced and active genes.
Sex
View SamplesEffects of Nipped-B and Rad21 sister chromatid cohesin proteins on gene expression data in ML-DmBG3 cells derived from Drosophila melanogaster larval central nervous system
Regulation of the Drosophila Enhancer of split and invected-engrailed gene complexes by sister chromatid cohesion proteins.
Time
View SamplesWe previously found that mice deficient in the CD susceptibility gene Nod2 develop small intestinal abnormalities including impaired mucus production by goblet cells and susceptibility to injury, which were associated with interferon-gamma producing intraepithelial lymphocytes. These abnormalities were caused by a striking expansion of a common member of the microbiota, Bacteroides vulgatus. Remarkably, infection of Nod2-deficient mice with the helminth Trichuris muris led to a TH2 response that eliminated B. vulgatus colonization and intestinal abnormalities. In addition, treatment with recombinant IL13 (rIL13) or recombinant IL4 reduced B. vulgatus levels and eliminated goblet cell defects, suggesting that type 2 cytokines alone can reverse intestinal abnormalities in the absence of helminth infection. To determine the mechanism by which type 2 cytokines protected Nod2-/- mice from intestinal abnormalities, we performed RNA-seq on small intestinal tissue from WT, Nod2-/- and rIL13 treated Nod2-/- mice. We found that rIL13 treatment induced a wound healing response characterized by M2 macrophage activation genes. Hence, type 2 cytokines can reverse inflammatory imbalances in the composition of the gut microbiota that occurs in a genetically susceptible host. Overall design: Comparison of small intestinal transcriptome in WT, Nod2-/-, and rIL-13 treated Nod2-/- mice.
Helminth infection promotes colonization resistance via type 2 immunity.
Specimen part, Subject
View SamplesChromatin packaging in sperm protects it against DNA fragmentation, and the importance of proper chromatin packaging for boar fertility outcome has become increasingly evident. Little is known however about the molecular mechanisms underlying differences in sperm DNA fragmentation and an understanding of the genes controlling this sperm parameter could help in selecting the best boars for AI use. The aim of this study was to identify differentially expressed genes in testis of Norsvin Landrace and Duroc boars with good and bad sperm DNA fragmentation using transcriptome sequencing and to use the data for polymorphism search. RNA sequence reads were obtained using Illumina technology and mapped by TopHat using the Ensembl pig database. Differentially expressed genes and pathways were analyzed using the R Bioconductor packages edgeR and goseq respectively. Using a false discovery rate of 0.05, 309 and 375 genes were found displaying significant differences in expression level between the good and bad condition in Landrace and Duroc respectively. Of the differentially expressed genes, 72 were found in common for the two breeds. Gene ontology analysis revealed that terms common for the two breeds included extracellular matrix, extracellular region and calcium ion binding. Additionally, different metabolic processes were enriched in Landrace and Duroc, whereas immune response ontologies were found to be important in Landrace. SNP detection in Landrace/Duroc identified 53182/53931 variants in 10924/10748 transcripts and of these, 1573/1827 SNPs occurred in 189/241 unique genes that were also differentially expressed. Possible high impact variants were detected using SnpEff. Transcriptome sequencing identified differentially expressed genes and nucleotide variants related to differences in sperm DNA fragmentation, and functional annotation of the genes pointed towards important biochemical pathways. This study provides insights into the genetic network underlying this trait and is a first step towards using sperm DNA fragmentation for predicting boar fertility. Overall design: Nine Landrace, five low and four high, and eleven Duroc, five low and six high, boars were selected for transcriptome profiling based on their extreme DFI values. The biological replicates within the high and low groups were compared.
RNA sequencing reveals candidate genes and polymorphisms related to sperm DNA integrity in testis tissue from boars.
Subject
View Samples