Project description:N7-methylguanosine (m7G) is a positively charged, essential modification at the 5′ cap of eukaryotic mRNA, regulating mRNA export, translation, and splicing. m7G also occurs internally within tRNA and rRNA, but its existence and distribution within eukaryotic mRNA remain to be investigated. Here, we show the presence of internal m7G sites within mammalian mRNA. We then performed transcriptome-wide profiling of internal m7G methylome using m7G-MeRIP sequencing (MeRIP-seq). To map this modification at base resolution, we developed a chemical-assisted sequencing approach that selectively converts internal m7G sites into abasic sites, inducing misincorporation at these sites during reverse transcription. This base-resolution m7G-seq enabled transcriptome-wide mapping of m7G in human tRNA and mRNA, revealing distribution features of the internal m7G methylome in human cells. We also identified METTL1 as a methyltransferase that installs a subset of m7G within mRNA and showed that internal m7G methylation could affect mRNA translation.
Project description:Previous study found the presence of internal N7-methylguanosine (m7G) within mammalian mRNA. We performed antibody-based m7G MeRIP-seq for transcriptome-wide mapping the internal m7G sites in U2OS cells.
Project description:Previous study found the presence of internal N7-methylguanosine (m7G) within mammalian mRNA. We performed antibody-based m7G MeRIP-seq for transcriptome-wide mapping the internal m7G sites in HepG2 cells.
Project description:Recent studies reported that N7-methylguanosine (m7G) modification exists in internal mRNAs; however, the “reader” protein for mRNA internal m7G modification is still unrevealed. Here, by performing m7G MeRIP-seq and RIP-seq, we identified quaking protein (QKI) as a novel internal m7G modification reader. Internal mRNA m7G modification acts as a key player in mRNA translation under stress condition. To explore the mechanism underlying the function of QKI in translation regulation, we employed RNA-seq and Ribo-seq, and demonstrated that QKI7 regulates the translation efficiency of a subset of internal m7G-modified transcripts under stress condition.
Project description:Methylation of guanosine on position N7 (m7G) on internal RNA positions have been found in all domains of life and have been implicated in human disease, but m7G modifications has so far only been mapped in a limited number of RNA molecules. Here, we present m7G Mutational Profiling sequencing (m7G-MaP-seq), which allows high throughput detection of m7G modifications. In our method, m7G modified positions are converted to abasic sites by mild reduction, recorded as cDNA mutations through reverse transcription, sequenced and subsequently detected by identification of positions with increased mutation rates in the reduced sample compared to the control. We show that m7G-MaP-seq efficiently detects m7G modifications in rRNA, including a previously uncharacterised rRNA modification in Arabidopsis thaliana. Furthermore, we identify m7G tRNA modifications in budding yeast, human and arabidopsis tRNA and show that m7G modification occurs before tRNA splicing. We do not find any evidence for internal m7G modifications being present in other small RNA, such as miRNA, snoRNA and sRNA. Likewise, high coverage m7G-MaP-seq analysis of mRNA from E. coli or yeast cells failed to identify any internal m7G modifications.
Project description:Methods for the precise detection and quantification of RNA modifications are critical to uncover functional roles of diverse RNA modifications. The internal m7G modification in mammalian cytoplasmic tRNAs is known to affect tRNA function and impact embryonic stem cell self-renewal, tumorigenesis, cancer progression, and other cellular processes. Here, we introduce m7G-quant-seq, a quantitative method that accurately detects internal m7G sites in human cytoplasmic tRNAs at single-base resolution. The efficient chemical reduction and mild depurination can almost completely convert internal m7G sites into RNA abasic sites (AP sites). We demonstrate that RNA abasic sites induce a mixed variation pattern during reverse transcription, including G → A or C or T mutations as well as deletions. We calculated the total variation ratio to quantify the m7G modification fraction at each methylated site. The calibration curves of all relevant motif contexts allow us to more quantitatively determine the m7G methylation level. We detected internal m7G sites in 22 human cytoplasmic tRNAs from HeLa and HEK293T cells and successfully estimated the corresponding m7G methylation stoichiometry. m7G-quant-seq could be applied to monitor the tRNA m7G methylation level change in diverse biological processes.
Project description:The cancer cells selectively promote translation of specific oncogenic transcripts to facilitate cancer survival and progression, while the underlying mechanisms are poorly understood. N7-methylguanosine (m7G) tRNA modification and its methyltransferase complex METTL1/WDR4 are significantly up-regulated in intrahepatic cholangiocarcinoma (ICC) and associated with poor prognosis. We developed tRNA reduction and cleavage sequencing (TRAC-Seq) to reveal the m7G tRNA methylome inICC cell line and ribosome nascent-chain complex-bound mRNAs sequencing(RNC-seq) and ribosome profiling(Ribo-seq) to study the differential translated genes and reveal the ribosome pausing. A subset of 22 tRNAs is modified at a ‘RAGGU’ motif within the variable loop. We observe increased ribosome occupancy at the corresponding codons in the Mettl1 knockdown ICC cell line implying widespread effects on tRNA function, ribosome pausing, and mRNA translation. Translation of cell cycle genes and EGFR signaling pathway genes is particularly affected. Our study uncovers the important physiological function and mechanism of METTL1-mediated m7G tRNA modification in the regulation of cancer progression.
Project description:Three pairs of human OSCC tissues and normal tissues were collected. Methylated RNA immunoprecipitation sequencing (MeRIP-seq) was used to identify m7G sites on Transcriptome (including lncRNAs, mRNAs and circRNAs) and differences in m7G distribution between OSCC tissues and normal tissues.