Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Determine METTL16-mediated spatiotemoral installation of m6A via MeRIP-seq (m6A-seq) with nascent RNA and nuclear poly(A) RNA

ABSTRACT: METTL16 belong to methyltransferase like (METTL) family and possesses the ability to deposit N6-methyladenosine (m6A) in mRNA. We have conducted m6A-seq with poly(A) RNAs isolated from the whole HEK293T cells upon METTL16 knockdown to identify the transcripts with hypo m6A peaks after METTL16 knockdown, and also conducted RIP-seq with HEK293T cells to determine the METTL16-bound transcripts. However, we found that the transcripts with hypo m6A peaks upon METTL16 knockdown only account for a small proportion of METTL16-bound transcripts. We suppose one of the possibility reasons might be due to spatiotemporal installation of m6A. To support our hypothesis, we performed additional m6A seq with nascent RNA and nuclear poly(A) RNA isolated from HEK293T cells with METTL16 knockdown.

ORGANISM(S): Homo sapiens

PROVIDER: GSE156795 | GEO | 2021/10/28

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Determine the methyltransferase activities of METTL3, METTL14, and METTL16 via MeRIP-seq (m6A-seq)

Project description:All the three enzymes, METTL3, METTL14, and METTL16, belong to methyltransferase like (METTL) family and possess the ability to deposit N6-methyladenosine (m6A) in mRNA. Via immunofluorescence staining and wertern blotting, we discovered either METTL3 or METTL14 mainly localize in nuclear, but METTL16 localizes in both cytosol and nuclei. To compare the m6A methyltransferase activities of the three m6A 'writers' and better understand their differences, MeRIP-seq (m6A-seq) was conducted with poly(A) RNAs isolaed from HEK293T cells with METTL3, 14 and 16 knockout.

2021-10-28 | GSE182607 | GEO

Next Generation Sequencing (m6A-seq) Reveals RNA m6A Methylation Patterns During the floral transition of Arobidopsis

Project description:In this study, we identified METTL16 as an mRNA m6A methyltransferase that plays a vital role in the floral transition in Arabidopsis. Transcriptome-wide analysis of RNA methylome in the mettl16 mutant revealed that m6A modification enriched near the stop codon and within the 3ʹ untranslated region. Deficiency of METTL16 leads to decreases in m6A levels of approximately 471 transcripts, indicating that it is responsible for the methylation of a small group of mRNAs. The mettl16 mutant displayed an early flowering phenotype, and the level of FLOWERING LOCUS C (FLC) was markedly decreased in the mutant. Importantly, METTL16-mediated m6A methylation affects the splicing of FLC, thereby influencing its transcript level to regulate floral transition. Our study identified METTL16 as a novel m6A methyltransferase and suggests a close molecular link between METTL16-mediated m6A methylation and FLC splicing in flowering time control.

2021-08-07 | GSE180768 | GEO

The m6A RNA modification modulates gene expression and fibrosis-related pathways in hypertrophic scar [m6A-seq]

Project description:Purpose: To systematically analyze the overall m6A modification pattern in hyperplastic scars (HS). Methods: The m6A modification patterns in HS and normal skin (NS) tissues were described by m6A sequencing and RNA sequencing, and subsequently bioinformatics analysis was performed. The m6A-related RNA was immunoprecipitated and verified by real-time quantitative PCR. Results: The appearance of 14,791 new m6A peaks in the HS sample was accompanied by the disappearance of 7,835 peaks. The unique m6A-related genes in HS were thus associated with fibrosis-related pathways. We identified the differentially expressed mRNA transcripts in HS samples with hyper-methylated or hypo-methylated m6A peaks. Conclusion: This study is the first to map the m6A transcriptome of human HS, which may help clarify the possible mechanism of m6A-mediated gene expression regulation.

2022-01-24 | GSE194121 | GEO

RNA demethylation induces increased crop biomass and productivity in the field

Project description:We performed the transcriptome-wide m6A profiling (MeRIP) with poly(A) RNA samples isolated from shoots and roots of wild type (Nipp), FTO homogeneous transgenic (FTO) and demethylation activity dead mutant variant of FTO transgenic (FTOmut) rice plants. The m6A motif and the distribution of the detected m6A sites along transcripts were consistent with reported results from previous m6A sequencing studies in plants. We then analyzed the differentially methylated m6A sites in poly(A) RNA species including those transcribed from gene loci and from repetitive elements (repeat RNAs). Compared to Nipp plants, both shoots and roots of FTO transgenic plants had showed more hypomethylated m6A peaks (hypo-m6A, 222 in shoots and 3313 in roots) than hypermethylated m6A peaks (hyper-m6A, 63 in shoots and 127 in roots) in mRNAs, while FTOmut rice had showed more hyper-m6A in shoots (349 for hyper vs 31 for hypo) but more hypo-m6A in roots (291 for hyper vs 380 for hypo) than the WT. The hypomethylated m6A peaks in FTO transgenic plants were highly enriched within 3'UTR. Gene Ontology (GO) analysis of these identified hypomethylated m6A-containing coding genes in both FTO transgenic rice shoots and roots revealed an enrichment for functional annotations related to “cellular homeostatic process”, “one-carbon and small molecule metabolic process”, and “gene expression”. We also found the extent of m6A hypomethylation was more pronounced for repeat RNAs than for mRNA species.The quantitative RNA-seq analysis that included ERCC spike-in controls confirmed that FTO plants do indeed accumulate higher overall levels of poly(A) RNA than do WT shoots and roots. Above all, FTO mediated m6A demethylation in plant mRNA and repeats RNA, leading to the activation of transcription.

2021-08-11 | GSE135549 | GEO

The m6A RNA modification modulates gene expression and fibrosis-related pathways in hypertrophic scar

2021-08-08 | GSE181540 | GEO

m6A-RIP-seq of Ascl1-induced neurons.

Project description:We performed m6A-RIPs in Ascl1-induced neurons (iNeurons) to investigate the neuronal m6A epitranscriptome. Immunoprecipitation was done twice using two different antibodies, acquired from Abcam and Synaptic Systems (SySy), allowing for a more robust detection of m6A modification marks. Additionally, RIP-seq was performed separately with intact and fragmented RNA. The former approach allowed to identify proportions of m6A-modified transcripts among the total number, while the latter approach provided the information to identify genomic coordinates of m6A peaks.

2023-07-12 | E-MTAB-9542 | biostudies-arrayexpress

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

m6A RNA methylation promotes XIST-mediated transcriptional repression

Project description:XIST is a long non-coding RNA (lncRNA) that mediates transcriptional silencing of X chromosome genes. Here we show that XIST is highly methylated with at least 78 N6-methyladenosine (m6A) residues, a reversible base modification whose function in lncRNAs is unknown. We show that m6A formation in XIST, as well as cellular mRNAs, is mediated by RBM15 and its paralog RBM15B, which bind the m6A-methylation complex and recruit it to specific sites in RNA. This results in methylation of adenosines in adjacent m6A consensus motifs. Furthermore, knockdown of RBM15 and RBM15B, or knockdown of the m6A methyltransferase METTL3 impairs XIST-mediated gene silencing. A systematic comparison of m6A-binding proteins shows that YTHDC1 preferentially recognizes m6A in XIST and is required for XIST function. Additionally, artificial tethering of YTHDC1 to XIST rescues XIST-mediated silencing upon loss of m6A. These data reveal a pathway of m6A formation and recognition required for XIST-mediated transcriptional repression. Three to four biological HEK293T replicates were used to perform iCLIP of endogenous YTH proteins, RBM15, and RBM15B. Crosslinking induced truncations were identified using CIMS-CITS pipeline.

2016-09-07 | E-GEOD-78030 | biostudies-arrayexpress

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

Identifying interaction proteins of METTL16 using co immunoprecipitation and mass spectroscopy

Project description:METTL16 has recently been identified as an RNA methyltransferase that installs m6A marks on a few transcripts. But its function in cytosol remains unclear. Puromycin-labelling and renilla luciferase assay revealed that METTL16 can promote translation efficiency in an m6A-independent manner. To explore the mechanism, we performed co-immunoprecipitation using METTL16 antibody and mass spectroscopy to identify its interaction proteins. Moreover, we find that METTL16 is essential for tumorigenesis of non-small cell lung cancer.

2024-08-03 | PXD032068 | Pride

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data