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Deep and accurate detection of m6A RNA modifications in human and mouse cells using miCLIP2 and m6Aboost machine learning [c]

ABSTRACT: N6-methyladenosine (m6A) is the most abundant internal RNA modification in eukaryotic mRNAs and influences many aspects of RNA processing, such as RNA stability and translation. miCLIP (m6A individual-nucleotide resolution UV crosslinking and immunoprecipitation) is an antibody-based approach to map m6A sites in the transcriptome with single-nucleotide resolution. However, due to broad antibody reactivity, reliable identification of m6A sites from miCLIP data remains challenging. Here, we present several experimental and computational innovations that significantly improve transcriptome-wide detection of m6A sites. Based on the recently developed iCLIP2 protocol, the optimised miCLIP2 results in high-complexity libraries using less input material, leading to a more comprehensive representation of m6A sites. Next, we established a robust computational pipeline to identify true m6A sites from our miCLIP2 data. The analyses are calibrated with data from Mettl3 knockout cells to learn the characteristics of m6A deposition, including a significant number of m6A sites outside of DRACH motifs. In order to make these results universally applicable, we trained a machine learning model, m6Aboost, based on the experimental and RNA sequence features. Importantly, m6Aboost allows prediction of genuine m6A sites in miCLIP data without filtering for DRACH motifs or the need for Mettl3 depletion. Using m6Aboost, we identify thousands of high-confidence m6A sites in different murine and human cell lines, which provide a rich resource for future analysis. Collectively, our combined experimental and computational methodology greatly improves m6A identification.

ORGANISM(S): Mus musculus

PROVIDER: GSE163499 | GEO | 2021/06/05

REPOSITORIES: GEO

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Deep and accurate detection of m6A RNA modifications in human and mouse cells using miCLIP2 and m6Aboost machine learning [b]

Project description:N6-methyladenosine (m6A) is the most abundant internal RNA modification in eukaryotic mRNAs and influences many aspects of RNA processing, such as RNA stability and translation. miCLIP (m6A individual-nucleotide resolution UV crosslinking and immunoprecipitation) is an antibody-based approach to map m6A sites in the transcriptome with single-nucleotide resolution. However, due to broad antibody reactivity, reliable identification of m6A sites from miCLIP data remains challenging. Here, we present several experimental and computational innovations that significantly improve transcriptome-wide detection of m6A sites. Based on the recently developed iCLIP2 protocol, the optimised miCLIP2 results in high-complexity libraries using less input material, leading to a more comprehensive representation of m6A sites. Next, we established a robust computational pipeline to identify true m6A sites from our miCLIP2 data. The analyses are calibrated with data from Mettl3 knockout cells to learn the characteristics of m6A deposition, including a significant number of m6A sites outside of DRACH motifs. In order to make these results universally applicable, we trained a machine learning model, m6Aboost, based on the experimental and RNA sequence features. Importantly, m6Aboost allows prediction of genuine m6A sites in miCLIP data without filtering for DRACH motifs or the need for Mettl3 depletion. Using m6Aboost, we identify thousands of high-confidence m6A sites in different murine and human cell lines, which provide a rich resource for future analysis. Collectively, our combined experimental and computational methodology greatly improves m6A identification.

2021-06-05 | GSE163492 | GEO

Deep and accurate detection of m6A RNA modifications in human and mouse cells using miCLIP2 and m6Aboost machine learning [a]

2021-06-05 | GSE163491 | GEO

Identification of m6A residues at single nucleotide resolution using eCLIP and an accessible custom analysis pipeline

Project description:We have developed a modified eCLIP-based method (meCLIP) to identify m6A residues at single-nucleotide resolution. By coupling the improvements of eCLIP with an easy-to-use computational pipeline, we have successfully identified over 50,000 unique m6A residues in the two breast cancer cell lines that were analyzed (MCF-7 and MDA-MB-231) and over 8,000 unique residues in HEK-293 cells. We compared these residues to the sites called using the currently most utilized m6A identification method (miCLIP).

2020-12-31 | GSE147440 | GEO

m6A modification in effector CD4+ T cells [m6A-miCLIP-seq]

Project description:GP61-primed effector CD4+ T cells were isolated from Ctrl or Mettl3-deficient SMARTA mice. Total RNAs were extracted with TRIzol reagent, and mRNAs were then isolated with Dynabeads® mRNA purification kit, followed by stardard m6A-miCLIP-SMARTer-seq with some modifications. Raw sequencing reads were aligned to the mouse genome (mm10) with BWA, and then m6A sites were determined.

2021-01-19 | GSE129649 | GEO

m6A RNA modification controls cell fate transition in mammalian embryonic stem cells (RNA methylation)

Project description:Here we determine the map of RNA methylation (m6A) in mouse embrionic stem cells, and Mettl3 knock out cells Examination of m6A modification sites on the transcriptome of mouse Embryonic stem cells and Embryonic Mettl3 knock out cells, using a m6A specific antibody.

2014-10-16 | E-GEOD-52662 | biostudies-arrayexpress

Widespread N6-methyladenosine-dependent RNA Structural Switches Regulate RNA-Protein Interactions

Project description:We show that N6-methyladenosine (m6A), the most abundant internal modification in mRNA/lncRNA with still poorly characterized function, alters RNA structure to facilitate the access of RBM for heterogeneous nuclear ribonucleoprotein C (hnRNP C). We term this mechanism m6A-switch. Through combining PAR-CLIP with Me-RIP, we identify 39,060 m6A-switches among hnRNP C binding sites transcriptome-wide. We show that m6A-methyltransferases METTL3 or METTL14 knockdown decreases hnRNP C binding at 16,582 m6A-switches. Taken together, 2,798 m6A-switches of high confidence are identified to mediate RNA-hnRNP C interactions and affect diverse biological processes including cell cycle regulation. These findings reveal the biological importance of m6A and provide insights into the sophisticated regulation of RNA-RBP interactions through m6A-induced RNA structural remodeling. Measure the m6A methylated hnRNP C binding sites transcriptome-wide by PARCLIP-MeRIP; measure the differential hnRNP C occupancies upon METTL3/METTL14 knockdown by PAR-CLIP; measure RNA abundance and splicing level changes upon HNRNPC, METTL3 and METTL14 knockdown

2015-02-27 | E-GEOD-56010 | 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

Primarily Dissecting the Autonomous and Cooperative Functions of METTL3 and METTL14 in mRNA Modification and Tumor Progression

Project description:METTL3 and METTL14 are considered to faithfully form the m6A writing complex in a 1:1 ratio, regulating the fate of mRNA by adding m6A modifications. However, recent studies have shown inconsistent expression and prognostic value of METTL3 and METTL14 in some tumors, suggesting that they may not be faithful in tumors. Pan-cancer analysis based on TCGA data reveals significant differences in expression, function, tumor burden correlation, and immune correlation between METTL3 and METTL14, especially in esophageal squamous cell carcinoma (ESCC). Knockdown of METTL3 significantly inhibits the cell proliferation in vitro and in vivo in ESCC EC109 cells, while the impact of METTL14 knockdown on proliferation is limited, and it cannot abolish the expression of METTL3 protein. mRNA-seq results indicate that METTL3 independently regulates the expression of 1615 genes, while only 776 genes are co-regulated by METTL3 and METTL14. Furthermore, through immunofluorescence co-localization, it is observed that METTL3 and METTL14 have certain inconsistencies in cellular localization. HPLC-MS results show that METTL3 independently binds to the Nop56p-associated pre-rRNA complex and mRNA splicing complex, separate from METTL14. Through bioinformatics and various omics studies, we have preliminarily discovered that METTL3 independently regulating tumor cell proliferation, and the participation in mRNA splicing may be a critical molecular mechanism. Our study provides an experimental basis and theoretical foundation for further understanding of the m6A writing complex and tumor therapy targeting METTL3.

2024-02-01 | PXD048886 | Pride

Identification and Characterization of the Mammalian Nuclear RNA N6-Adenosine Methyltransferase Core Complex

Project description:N6-methyladenosine (m6A) is the most prevalent internal modification found in mammalian messenger and non-coding RNAs. The discoveries of functionally significant demethylases that reverse this methylation as well as the recently revealed m6A distributions in mammalian transcriptomes strongly indicate regulatory functions of this modification. Here we report the identification and characterization of the mammalian nuclear RNA N6-adenosine methyltransferase core (RNMTC) complex. Besides METTL3, a methyltransferase which was the only known component of RNMTC in the past, we discovered that a previously uncharacterized methyltransferase, METTL14, exhibits a N6-adenosine methyltransferase activity higher than METTL3. Together with WTAP, the third component that dramatically affects the cellular m6A level, these three proteins form the core complex that orchestrates m6A deposition on mammalian nuclear RNA. Biochemistry assays, imaging experiments, as well as transcriptome-wide analyses of the binding sites and their effects on m6A methylation support methylation function and reveal new insights of RNMTC. PAR-CLIP and m6A-seq in HeLa cells

2013-11-29 | E-GEOD-46705 | biostudies-arrayexpress

Mapping of m6A and Its Regulatory Targets in Prostate Cancer Reveals a METTL3-low Induction of Therapy Resistance

Project description:Genomic and transcriptomic alterations are insufficient to explain the variance in protein expression seen in cancer. Recent evidence has highlighted the role of N6-methyladenosine (m6A) in the regulation of mRNA expression, stability and translation, supporting a potential role for post-transcriptional regulation mediated by m6A in cancer. Here we explore prostate cancer as an exemplar cancer and generate the first prostate m6A maps, and further examined how low levels of N6-adenosine-methyltransferase (METTL3) associates with advanced prostate cancer and results in altered expression at the level of transcription, translation, and protein. In particular extracellular matrix proteins have a high number of m6A sites and show significant changes in expression with METTL3 knock-down. We also discovered the upregulation of a hepatocyte nuclear factor-driven gene signature that is associated with therapy resistance in prostate cancer. Significantly, METTL3 knock-down rendered the cells resistant to androgen receptor antagonists, implicating changes in m6A as a mechanism for therapy resistance in metastatic prostate cancer.

2021-06-07 | PXD022348 | Pride

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