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Global analysis of m6A mRNA methylation in human cells

ABSTRACT: m6A RNA immunoprecipitation was performed according to published procedure (Dominissini et al., 2012). Human m6A-seq data from DTSC2 HeLa cells were aligned to the hg19 transcriptome. To locate m6A peaks, the hg19 transcriptome was divided into 25 nucleotide-wide tiles. The number of reads in the m6A immunoprecipitation (IP) and non-IP (control) sample was counted in each tile, and a p-value was calculated using Fisher’s exact test and adjusted for multiple testing. Tiles with significant enrichment of the m6A signal (adjust-P value < = 0.05) were merged into larger regions. Regions lesser than 100 bp were discarded, and regions over 200 bp were separated into 100 to 200 bp sub-regions; the m6A signal from rapamycin-treated cells compared to control (DMSO) was calculated for each region; and regions with at least a two-fold enrichment in all replicates were identified as m6A peaks. The distributions of m6A peaks and m6A marked genes were identified by overlapping all m6A peaks with the hg19 RefGene annotation (Meng et al., 2014).

ORGANISM(S): Homo sapiens

PROVIDER: GSE165690 | GEO | 2021/02/17

REPOSITORIES: GEO

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MeRIP sequencing reveals angiogenic properties of vascular endothelial cells

Project description:We report the application of MeRIP sequencing technology for high-throughput profiling of RNA m6A modifications in wide-type and knock-down METTL3 or WTAP Human Umbilical Vein Endothelial Cells (HUVECs). Both the input samples without immunoprecipitation and the m6A IP samples were used for RNA-seq library generation with NEBNext® Ultra II Directional RNA Library Prep Kit (New England Biolabs, Inc., USA). Library sequencing was performed on an illumina Hiseq instrument with 150bp paired-end reads. Clean reads of all libraries were aligned to the reference genome (HG19) by Hisat2 software (v2.0.4). Methylated sites on RNAs (peaks) were identified by MACS software. Differentially methylated sites were identified by diffReps. And, guided by the Ensembl gtf gene annotation file, cuffdiff software (part of cufflinks) was used to get the gene level FPKM as the expression profiles of mRNA, and fold change and p-value were calculated based on FPKM, differentially expressed mRNA were identified. qRT-PCR validation was performed using SYBR Green assays. Finally, we find that METTL3/WTAP can regulate the expression level of target genes through m6A modification in HUVECs. This study provides a framework for applying MeRIP sequencing profiles to characterize vascular endothelial cells.

2019-12-20 | GSE142386 | GEO

m6A-RIP-seq of mRNA in HeLa cells undergoing EMT

Project description:We report the application of m6A-RIP-seq to indentify the m6A modifications variation in genes invovled in EMT. Briefly, total polyadenylated RNA was isolated from HeLa cells treated with or without 10 ng/ml TGF-β for 3 days by use of TRIZOL reagent followed the using of FastTrack MAGMaxi mRNA isolation kit (Invitrogen). RNA fragmentation, m6A-seq, and library preparation were performed according to instructions of manufacture and the previously published protocol (Wang et al., 2015). NEBNext Ultra Directional RNA Library Prep Kit (New England BioLabs, Ipswich, MA) was used for library preparation. Each experiment was conducted in two biological replicates. m6A-seq data were analyzed according to the protocols described before (Wang et al., 2015). Significant peaks with FDR < 0.05 were annotated to RefSeq database (hg19). Sequence motifs were identified by using Homer. Gene expression was calculated by Cufflinks using the sequencing reads from input samples. Cuffdiff was used to find the DE genes.

2019-03-25 | GSE112795 | GEO

ChIP-seq facilitates the quantitative analysis of Rvb proteins' enrichment on the genome during stress

Project description:The goals of this study are to quantitatively analyze the enrichment of Rvb1/Rvb2 on the yeast genome during glucose starvation. The ChIP-seq files were generated from 2 biological replicates of Rvb1’s immunoprecipitation (IP), Rvb2-IP, and Pgk1-IP in 10-min glucose starved yeast cells, respectively, using NextSeq 500 SR 75. The sequence reads that passed quality filters were analyzed by calculation of the read counts on 2 regions: -500 bp to TSS and TSS to +500 bp. Using an optimized data analysis workflow, we found Rvb1/Rvb2’s enrichment peaks and that they are significantly more enriched on the Class II alternative glucose metabolism promoters than Class I heat shock promoters.

2021-09-22 | GSE184473 | GEO

Analysis of m6A methylome in ABRO1 Knockout heart

Project description:To find the m6A methylation targets of ABRO1, we performed m6A methylated RNA immunoprecipitation sequencing (MeRIP-seq) in ABRO1 Knockout or Wild type (WT) mice heart. The analysis of the distribution of m6A peak density in mRNA transcripts showed that m6A peaks are mainly found in coding sequences (CDS) and a considerable amount of m6A peaks enriched around start codon and stop codon regions in mRNA transcripts from ABRO1 KO and WT hearts. Among the total RNA transcripts with m6A sites, more than half (59.4%) of mRNA transcripts contain ≤ 2 m6A peaks, 27.4% mRNA transcripts comprise 3 to 5 m6A peaks and more than 5 m6A peaks exist in 13.2% of mRNA transcripts. MeRIP-seq analysis results from ABRO1 deleted hearts showed that a total of 3444 m6A peaks were upregulated and 4631 m6A were downregulated compared to WT hearts.

2023-12-01 | GSE188518 | GEO

Single-nucleotide resolution mapping of m6A and m6Am throughout the transcriptome

Project description:N6-methyladenosine (m6A) is the most abundant modified base in eukaryotic mRNA and has been linked to diverse effects on mRNA fate and function. Current m6A mapping approaches rely on immunoprecipitation of m6A-containing RNA fragments to identify regions of transcripts that contain m6A. This approach localizes m6A residues to 100-200 nt-long regions of transcripts. The precise position of m6A in mRNAs cannot be identified on a transcriptome-wide level because there are no chemical methods to distinguish between m6A and adenosine. Here we show that anti-m6A antibodies can induce specific mutational signatures at m6A residues after ultraviolet light-induced antibody-RNA crosslinking and reverse transcription. Similarly, we find these antibodies induce mutational signatures at N6, 2’-O-dimethyladenosine (m6Am), a nucleotide found at the first encoded position of certain mRNAs. Using these mutational signatures, we map m6A and m6Am at single-nucleotide resolution in human and mouse mRNA and identify snoRNAs as a novel class of m6A-containing ncRNAs. UV-crosslinking and immunoprecipitation with m6A-specific antibodies was used to map m6A and m6Am in cellular RNA with single nucleotide resolution.

2015-06-29 | E-GEOD-63753 | biostudies-arrayexpress

Analysis of m6A methylome in CHAPIR overexpressed heart [MeRIP]

Project description:To elucidate the molecular mechanism by which cardiac-hypertrophy-associated piRNA (CHAPIR) regulates m6A modification, we performed m6A methylated RNA immunoprecipitation sequencing (MeRIP-seq) in control or CHAPIR-overexpressing mice heart. The sequential analysis of m6A peaks showed that RGACH motif was highly enriched within m6A sites in heart and that is aligning with the classical consensus sequence of mammals ‘RGACH’, where ‘R’ indicates purine (A/G) and ‘H’ indicates non-guanine base (A/C/U). In CHAPIR treated heart, m6A mostly occurred in mRNAs (89.5%) and only about 10.5% were identified in non-coding RNAs. The majority of mRNAs contain one or two m6A peaks (89.2%) and 10.8% mRNA contain >2 m6A peaks . M6A peaks were predominantly distributed in coding sequences (CDSs), 3’ untranslated regions (3’UTRs) and near stop codon.

2020-07-24 | GSE154699 | GEO

Identifying the potential targets of METTL3 in macrophages by high-throughput m6A-seq

Project description:N6-methyladenosine (m6A), the most prevalent internal messenger RNA modification, plays critical roles in diverse biological processes. To characterize the potential involvement of METTL3 in macrophage function, we mapped m6A methylomes of METTL3-deficent and WT macrophages by m6A sequencing (m6A-seq) and RNA-seq, with independent biological replicates. Notably, among the m6A peaks with remarkable changes upon METTL3-depletion, the vast majority exhibited a significant (p < 0.05) decrease in m6A abundance.The most common m6A motif GGAC is significantly enriched in the m6A peaks in both WT and METTL3-deficent cells. A similar pattern of total and common m6A distribution in control and METTL3-deficient cells was observed, when the m6A peaks were especially abundant in the vicinity of CDS and 3’UTR regions.

2023-10-06 | GSE193340 | GEO

Widespread Occurrence of m6A in bacterial mRNA

Project description:N6-methyladenosine (m6A) is one of the most abundant modifications in eukaryotic RNA. Recent mapping of m6A methylomes in mammals, yeast, and plants as well as characterization of m6A methyltransferases, demethylases, and binding proteins have revealed regulatory functions of this dynamic RNA modification. In bacteria, although m6A is present in ribosomal RNA (rRNA), its occurrence in messenger RNA (mRNA) still remains elusive. Here, we used liquid chromatography-mass spectrometry (LC-MS) to calculate the m6A/A ratio in mRNA from a wide range of bacterial species, which demonstrates that m6A is an abundant mRNA modification in tested bacteria. Subsequent transcriptome-wide m6A profiling in Escherichia coli and Pseudomonas aeruginosa revealed a conserved distinct m6A pattern that is significantly different from that in eukaryotes. Most m6A peaks are located inside open reading frames (ORF), and carry a unique consensus motif (GCCAU). Functional enrichment analysis of bacterial m6A peaks indicates that the majority of m6A-modified transcripts are associated with respiration, amino acids metabolism, stress response, and small RNAs genes, suggesting potential regulatory roles of m6A in these pathways. m6A profiling in E.coli and P.aeruginosa mRNA

2015-07-08 | E-GEOD-65347 | biostudies-arrayexpress

Mus musculus

Project description:m6A peaks in mouse brain sample.

| PRJNA391945 | ENA

Pull-down affinity purifications using di-nucleosomes decorated with enhancer-associated modifications and incorporating 200bp linker DNA

Project description:Characteristic features of chromatin states are not limited to particular epigenetic modifications but include other regulatory cues, such as linker DNA length, typically ranging from around 35-55 bp in most eu- and heterochromatin domains (Valouev et al, 2011; Voong et al., 2016, Cell) to over 200 bp in nucleosome-depleted regions (NDRs) found at active enhancers and promoters (Schones et al, 2008; Hansen He et al, 2010). To investigate whether and how nucleosome linker DNA affects chromatin recognition by nuclear proteins we performed an additional set of affinity purifications using di-nucleosomes incorporating different DNA linkers. Here, we investigated the effect of a 200 bp di-nucleosome linker DNA represented by scrambled DNA or SV40 enhancer DNA sequence on the nuclear protein binding to di-nucleosome decorated with enhancer-associated modifications, including H3K4me1 and H3K27ac.

2023-12-12 | PXD041443 | Pride

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