Aberrant DNA methylation is induced at specific promoter CpG islands (CGIs) in contrast with mutations. The specificity is influenced by genome architecture and epigenetic factors, but their relationship is still unknown. In this study, we isolated promoter CGIs susceptible and resistant to aberrant methylation induction during prostate and breast carcinogenesis. The effect of genome architecture was more evident for promoter CGIs susceptible in both of the two tissues than for promoter CGIs susceptible only in one tissue. Multivariate analysis of promoter CGIs with tissue-nonspecific susceptibility showed that genome architecture, namely a remote location from SINE (OR=5.98; 95% CI=2.33-15.34) and from LINE (OR=2.08; 95% CI=1.03-4.21), was associated with increased susceptibility, independent of epigenetic factors such as the presence of RNA polymerase II (OR=0.09; 95% CI=0.02-0.48) and H3K27me3 (OR=3.28; 95% CI=1.17-9.21). These results showed that methylation susceptibility of promoter CGIs is determined both by genome architecture and epigenetic factors, independently.
Effects of genome architecture and epigenetic factors on susceptibility of promoter CpG islands to aberrant DNA methylation induction.
Cell line
View SamplesInstructive mechanisms are present for induction of DNA methylation, as shown by methylation of specific CpG islands (CGIs) by specific inducers and in specific cancers. However, instructive factors involved are poorly understood, except for involvement of low transcription and trimethylation of histone H3 lysine 27 (H3K27me3). Here, we used methylated DNA immunoprecipitation (MeDIP) combined with a CGI oligonucleotide microarray analysis, and identified 5510 and 521 genes with promoter CGIs resistant and susceptible, respectively, to DNA methylation in prostate cancer cell lines. Expression analysis revealed that the susceptible genes had low transcription in a normal prostatic epithelial cell line. Chromatin immunoprecipitation with microarray hybridization (CHiP-chip) analysis of RNA polymerase II (Pol II) and histone modifications showed that, even among the genes with low transcription, the presence of Pol II was associated with marked resistance to DNA methylation (OR = 0.22; 95% CI = 0.12-0.38), and H3K27me3 was associated with increased susceptibility (OR = 11.20; 95% CI = 7.14-17.55). The same was true in normal human mammary epithelial cells for 5430 and 733 genes resistant and susceptible, respectively, to DNA methylation in breast cancer cell lines. These results showed that the presence of Pol II, active or stalled, and H3K27me3 can predict the epigenetic fate of promoter CGIs independently of transcription levels.
The presence of RNA polymerase II, active or stalled, predicts epigenetic fate of promoter CpG islands.
Cell line
View SamplesPTIP (Pax2 transactivation domain-interacting protein) is a nuclear protein containing six BRCT domains. It has been shown that PTIP affects gene expression by controlling the activity of the transcription factor Pax2 and histone H3 lysine 4 methyltransferase complexes. In addition to its role in transcriptional regulation, PTIP has been implicated in DNA damage response. To ask if the depletion of PTIP affects the expression level of genes encoding DNA damage response factors , we compared the whole transcripts between wild-type and PTIP deficient chicken DT40 B cell lines.
PTIP promotes DNA double-strand break repair through homologous recombination.
Specimen part, Cell line
View SamplesThe development of T cells has been characterized as taking place over three stages: nave (Tn), central memory (Tcm), and effector memory (Tem) cells.
Polarization diversity of human CD4+ stem cell memory T cells.
Sex, Age
View SamplesHIV-1 Vpr protein is a multifunctional protein which perturbs human transcriptome and interacts with a number of cellular proteins. In this study, we have attempted to explore the efffects of Vpr on human transcriptome and have identified several genes which are involved in innate immune respone and cell signaling pathways.
HIV-1 Vpr induces interferon-stimulated genes in human monocyte-derived macrophages.
Specimen part, Subject
View SamplesWe collected and compared samples from the cohort consisted of six groups as follows: methotrexate (MTX) monotherapy, combination therapy of MTX and infliximab (IFX), tocilizumab (TCZ) monotherapy, age- and gender-matched HC, and a small number of synovial fluid samples. In order to reduce variation due to the proportion of cells at each developmental stage, we performed transcriptome analysis after sorting CD4+ and CD8+ T cells according to developmental stage. We created a gene list that was significantly expressed in RA T cells, and revealed that pathways such as mTORC1, IL-2-stat5, Cell cycle and interferon-related genes were significantly enriched among them. Overall design: Examination among healthy controls and patients with rheumatoid arthritis, including before and after treatment
Multi-dimensional analysis identified rheumatoid arthritis-driving pathway in human T cell.
Sex, Age, Specimen part, Disease, Subject
View SamplesWe compared whole CD4+ and CD8+ T cells from frozen PBMC samples that were collected before and after treatment initiation of each patient with rheumatoid arthritis. Lists consisting of 858 and 950 differentially expressed genes were created from CD4 and CD8, respectively, and these were used for enrichment analysis. As a result, we found that certain pathways were downregulated after TCZ treatment in both CD4+ and CD8+ T cells, including mechanistic target of rapamycin complex 1 (mTORC1) signaling, the IL-2 pathway, and IFN-related genes. Overall design: Examination between before and after tocilizumab treatment of CD4 and CD8 T cell in rheumatoid arthritis patients
Multi-dimensional analysis identified rheumatoid arthritis-driving pathway in human T cell.
Sex, Age, Specimen part, Disease, Subject
View SamplesGrowing evidences are suggesting that extra-long genes in mammals are vulnerable for full-gene length transcription and dysregulation of long genes is a mechanism underlying human genetic disorders. Skeletal muscle expresses Dystrophin which is 2.26 Mbp in length; however, how long-distance transcription is achieved is totally unknown. We had discovered RNA-binding protein SFPQ preferentially binds to long pre-mRNAs and specifically regulates the cluster of neuronal genes > 100 kbp. Here we investigated the roles of SFPQ for long gene expression, target specificities, and also physiological functions in skeletal muscle. Loss of Sfpq selectively downregulated genes >100 kbp including Dystrophin and caused progressive muscle mass reduction and metabolic myopathy characterized by glycogen accumulation and decreased abundance of mitochondrial oxidative phosphorylation complexes. Functional clustering analysis identified metabolic pathway related genes as the targets of SFPQ. These findings indicate target gene specificities and tissue-specific physiological functions of SFPQ in skeletal muscle. Overall design: We analyzed polyA-tailed RNA profiles including transcribing RNAs in gastrocnemius skeletal muscle ( from 3 control and 3 Sfpq-/- P35 male mice) using Ion-proton.
Loss of RNA-Binding Protein Sfpq Causes Long-Gene Transcriptopathy in Skeletal Muscle and Severe Muscle Mass Reduction with Metabolic Myopathy.
Sex, Specimen part, Cell line, Subject
View SamplesGrowing evidences are suggesting that extra-long genes in mammals are vulnerable for full-gene length transcription and dysregulation of long genes is a mechanism underlying human genetic disorders. Skeletal muscle expresses Dystrophin which is 2.26 Mbp in length; however, how long-distance transcription is achieved is totally unknown. We had discovered RNA-binding protein SFPQ preferentially binds to long pre-mRNAs and specifically regulates the cluster of neuronal genes > 100 kbp. Here we investigated the roles of SFPQ for long gene expression, target specificities, and also physiological functions in skeletal muscle. Loss of Sfpq selectively downregulated genes >100 kbp including Dystrophin and caused progressive muscle mass reduction and metabolic myopathy characterized by glycogen accumulation and decreased abundance of mitochondrial oxidative phosphorylation complexes. Functional clustering analysis identified metabolic pathway related genes as the targets of SFPQ. These findings indicate target gene specificities and tissue-specific physiological functions of SFPQ in skeletal muscle. Overall design: We analyzed rRNA-depleted RNA profiles including transcribing RNAs in primary myoblasts obtained from skeletal muscles of 1-month-old SfpqSM-KO (n=1) and control (n=1) mice under differentiated condition using Ion-proton.
Loss of RNA-Binding Protein Sfpq Causes Long-Gene Transcriptopathy in Skeletal Muscle and Severe Muscle Mass Reduction with Metabolic Myopathy.
Subject
View SamplesMulti-omics study was conducted to elucidate the crucial molecular mechanisms of primary Sjgrens syndrome (SS) pathology. We generated multiple data set from well-defined patients with SS, which includes whole-blood transcriptomes, serum proteomes and peripheral immunophenotyping. Based on our newly generated data, we performed an extensive bioinformatic investigation. Our integrative analysis identified SS gene signatures (SGS) dysregulated in widespread omics layers, including epigenomes, mRNAs and proteins. SGS predominantly involved the interferon signature and ADAMs substrates. Besides, SGS was significantly overlapped with SS-causing genes indicated by a genome-wide association study and expression trait loci analyses. Combining the molecular signatures with immunophenotypic profiles revealed that cytotoxic CD8 T cells were associated with SGS. Further, we observed the activation of SGS in cytotoxic CD8 T cells isolated from patients with SS. Our multi-omics investigation identified gene signatures deeply associated with SS pathology and showed the involvement of cytotoxic CD8 T cells. These integrative relations across multiple layers will facilitate our understanding of SS at the system level.
Multiomic disease signatures converge to cytotoxic CD8 T cells in primary Sjögren's syndrome.
Sex, Age, Specimen part, Disease
View Samples