RNA methylation in diabetes
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ABSTRACT:
PROVIDER: PRJNA735937 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:RNA methylation in diabetes [RNA-Seq]
| PRJNA735941 | ENA
Project description:RNA methylation in diabetes [MeRIP-seq]
| PRJNA735942 | ENA
Project description:N6-methyladenosine (m6A) is one of the most prevalent and abundant epigenetic modifications in various fundamental bioprocesses. We hypothesized that m6A-mediated inflammation pathway contributes to diabetes. Total RNA was extracted from the retinas of wide type rat and their littermates with diabetes by STZ injection. A total amount of 1 μg RNA per sample was used as an input for the RNA sample preparations. The clustering of the index-coded samples was performed on a cBot Cluster Generation System using TruSeq PE Cluster Kit v3-cBot-HS (Illumia), the reagents used in library preparation are NEBNext® Ultra RNA Library Prep Kit for Illumina (NEB, USA) .After cluster generation, the library preparations were sequenced on an Illumina Novaseq platform and 150 bp paired-end reads were generated. The MeRIP-seq was carried out in Novogene (Beijing, China). Briefly, 2 μg total RNA was extracted from the retinas of both wide type mice and their littermates with diabetes. The integrity and concentration of extracted RNA was detected using an Agilent 2100 bioanalyzer (Agilent) and simpliNano spectrophotometer (GE Healthcare), respectively. Fragmented RNA (~100 nt) was incubated for 2 hours at 4 ℃ with anti-m6A polyclonal antibody (Synaptic Systems) in the immunoprecipitation experiment. Then, immunoprecipitated RNA or input was used for library construction with Ovation SoLo RNA-Seq System Core Kit (NuGEN). The library preparations were sequenced on Illumina Novaseq platform with a paired-end read length of 150 bp according to the standard protocols. The sequencing was carried out with three independent biological replicates.
2021-07-01 | GSE176352 | GEO
Project description:DNA methylation may be involved in development of type 1 diabetes (T1D), but previous epigenome-wide association studies were conducted among cases with clinically diagnosed diabetes. Using multiple pre-disease peripheral blood samples on the Illumina 450K and EPIC platforms, we investigated longitudinal methylation differences between 87 T1D cases and 87 controls from the prospective Diabetes Autoimmunity Study in the Young (DAISY) cohort. Change in methylation with age differed between cases and controls in 10 regions. Average longitudinal methylation differed between cases and controls at two genomic positions and 28 regions. Some methylation differences were detectable and consistent as early as birth, including before and after the onset of preclinical islet autoimmunity. Results map to transcription factors, other protein coding genes, and non-coding regions of the genome with regulatory potential. The identification of methylation differences that predate islet autoimmunity and clinical diagnosis may suggest a role for epigenetics in T1D pathogenesis.
2020-03-09 | GSE142512 | GEO
Project description:N6-methyladenosine (m6A) is one of the most prevalent and abundant epigenetic modifications in various fundamental bioprocesses. We hypothesized that m6A-mediated inflammation pathway contributes to diabetes. Total RNA was extracted from the retinas of wide type rat and their littermates with diabetes by STZ injection. A total amount of 1 μg RNA per sample was used as an input for the RNA sample preparations. The clustering of the index-coded samples was performed on a cBot Cluster Generation System using TruSeq PE Cluster Kit v3-cBot-HS (Illumia), the reagents used in library preparation are NEBNext® Ultra RNA Library Prep Kit for Illumina (NEB, USA) .After cluster generation, the library preparations were sequenced on an Illumina Novaseq platform and 150 bp paired-end reads were generated. The MeRIP-seq was carried out in Novogene (Beijing, China). Briefly, 2 μg total RNA was extracted from the retinas of both wide type mice and their littermates with diabetes. The integrity and concentration of extracted RNA was detected using an Agilent 2100 bioanalyzer (Agilent) and simpliNano spectrophotometer (GE Healthcare), respectively. Fragmented RNA (~100 nt) was incubated for 2 hours at 4 ℃ with anti-m6A polyclonal antibody (Synaptic Systems) in the immunoprecipitation experiment. Then, immunoprecipitated RNA or input was used for library construction with Ovation SoLo RNA-Seq System Core Kit (NuGEN). The library preparations were sequenced on Illumina Novaseq platform with a paired-end read length of 150 bp according to the standard protocols. The sequencing was carried out with three independent biological replicates.
2021-07-01 | GSE176353 | GEO
Project description:Longitudinal DNA methylation differences precede type 1 diabetes
| PRJNA597238 | ENA
Project description:Genome wide DNA methylation profiling of cord blood cells obtained from gestational diabetes mellitus (GDM) pregnancies. The Illumina EPIC methylation beadchip array was used to obtain DNA methylation profiles across approximately 850,000 CpG dinucleotide methylation loci in DNA isolated from cord blood. Samples include 165 GDM subjects.
2021-06-23 | GSE122086 | GEO
Project description:Type 1 diabetes (1a) diabetes is an autoimmune disease in which both environmental and genetic factors play a role. Epigenetic marks such as DNA methylation, being molecular links between the environment and the genome function, are sound candidates for the explanation of part of the aetiology and mechanisms of the disease. Here, the methylomes of the whole blood of 18 adult individuals with T1D were profiled using Illumina's MethylationEPIC array technology.
2020-12-22 | E-MTAB-8694 | biostudies-arrayexpress
Project description:The Illumina Infinium 27k Human DNA methylation Beadchip v1.2 was used to obtain DNA methylation profiles across approximately 27,000 CpGs in whole blood samples from a case-control study of 192 Irish patients with type 1 diabetes mellitus (T1D). Cases had T1D and nephropathy whereas controls had T1D but no evidence of renal disease. emails: christopher.bell@cancer.ucl.ac.uk, a.teschendorff@ucl.ac.uk Keywords: DNA methylation Bisulphite converted DNA from the 192 samples were hybridised to the Illumina Infinium 27k Human Methylation Beadchip v1.2
2010-05-07 | E-GEOD-20067 | biostudies-arrayexpress
Project description:Arginine (Arg)-rich RNA-binding proteins play an integral role in RNA metabolism. Post-translational modifications (PTMs) within Arg-rich domains, such as phosphorylation and methylation, regulate multiple steps in RNA metabolism. However, the identification of PTMs within Arg-rich domains with complete trypsin digestion is extremely challenging due to the high density of Arg residues within these proteins. Here, we leveraged a middle-down proteomic approach coupled with electron transfer dissociation (ETD) mass spectrometry to map previously unknown sites of phosphorylation and methylation within the Arg-rich domains of U1-70K and structurally similar RNA binding proteins. From nuclear extracts of HEK293 cells, we achieved coverage of 29,114 residues and identified 681 PTMs currently unannotated in database repositories. Remarkably, the Arg-rich domains in RNA binding proteins are densely modified by methylation and phosphorylation compared with the remainder of the proteome, with methylation and phosphorylation often jointly occurring in Arg-rich peptides within RSRS motifs. Although they share a common motif, phosphorylation and methylation may oppose one another. Collectively, these findings suggest that the level of PTMs within Arg-rich domains may be among the highest in the proteome, and a possible unexplored regulator of RNA metabolism. These data also serve as a resource to facilitate future mechanistic studies of these PTMs in RNA binding protein structure and function.
2020-01-31 | PXD015208 | Pride