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Transcriptome-Wide Map of N⁶-Methyladenosine Methylome Profiling in Human Bladder Cancer.

ABSTRACT: N⁶-Methyladenosine (m⁶A) is the most widespread internal RNA modification in several species. In spite of latest advances in researching the biological roles of m⁶A, its function in the development and progression of bladder cancer remains unclear. In this study, we used MeRIPty -55-seq and RNA-seq methods to obtain a comprehensive transcriptome-wide m⁶A profiling and gene expression pattern in bladder cancer and paired normal adjacent tissues. Our findings showed that there were 2,331 hypomethylated and 3,819 hypermethylated mRNAs, 32 hypomethylated and 105 hypermethylated lncRNAs, and 15 hypomethylated and 238 hypermethylated circRNAs in bladder cancer tissues compared to adjacent normal tissues. Furthermore, m⁶A is most often harbored in the coding sequence (CDS), with some near the start and stop codons between two groups. Functional enrichment analysis revealed that differentially methylated mRNAs, lncRNAs, and circRNAs were mostly enriched in transcriptional misregulation in cancer and TNF signaling pathway. We also found that different m⁶A methylation levels of gene might regulate its expression. In summary, our results for the first time provide an m⁶A landscape of human bladder cancer, which expand the understanding of m⁶A modifications and uncover the regulation of mRNAs, lncRNAs, and circRNAs through m⁶A modification in bladder cancer.

SUBMITTER: Li A

PROVIDER: S-EPMC8634328 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:ObjectivesAdipose-derived stem cells are frequently used for bone regeneration both in vitro and in vivo. N6-methyladenosine (m6A) is the most abundant post-transcriptional modification on eukaryotic RNAs and plays multifaceted roles in development and diseases. However, the regulatory mechanisms of m6A in osteogenic differentiation of human adipose-derived stem cells (hASCs) remain elusive. The present study aimed to build the transcriptome-wide m6A methylome during the osteogenic differentiation of hASCs.Materials and methodshASCs were harvested after being cultured in a basic or osteogenic medium for 7 days, and the osteogenic differentiation was validated by alkaline phosphatase (ALP) and Alizarin Red S staining, ALP activity assay, and qRT-PCR analysis of ALP, RUNX2, BGLAP, SPP1, SP7, and COL1A1 genes. The m6A level was colorimetrically measured, and the expression of m6A regulators was confirmed by qRT-PCR and western blot. Moreover, m6A MeRIP-seq and RNA-seq were performed to build the transcriptome and m6A methylome. Furthermore, bioinformatic analyses including volcano plots, Venn plots, clustering analysis, Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway, gene sets enrichment analysis, and protein-protein interaction analysis were conducted.ResultsIn total, 1145 differentially methylated peaks, 2261 differentially expressed genes, and 671 differentially methylated and expressed genes (DMEGs) were identified. GO and KEGG pathway analyses conducted for these DMEGs revealed extensive and osteogenic biological functions. The "PI3K-Akt signaling pathway"; "MAPK signaling pathway"; "parathyroid hormone synthesis, secretion, and action"; and "p53 signaling pathway" were significantly enriched, and the DMEGs in these pathways were identified as m6A-specific key genes. A protein-protein interaction network based on DMEGs was built, and VEGFA, CD44, MMP2, HGF, and SPARC were speculated as the hub DMEGs.ConclusionsThe total m6A level was reduced with osteogenic differentiation of hASCs. The transcriptome-wide m6A methylome built in the present study indicated quite a few signaling pathways, and hub genes were influenced by m6A modification. Future studies based on these epigenetic clues could promote understanding of the mechanisms of osteogenic differentiation of hASCs.

Project description:BackgroundCucumber green mottle mosaic virus (CGMMV) causes substantial global losses in cucurbit crops, especially watermelon. N6-methyladenosine (m6A) methylation in RNA is one of the most important post-transcriptional modification mechanisms in eukaryotes. It has been shown to have important regulatory functions in some model plants, but there has been no research regarding m6A modifications in watermelon.ResultsWe measured the global m6A level in resistant watermelon after CGMMV infection using a colorimetric method. And the results found that the global m6A level significantly decreased in resistant watermelon after CGMMV infection. Specifically, m6A libraries were constructed for the resistant watermelon leaves collected 48 h after CGMMV infection and the whole-genome m6A-seq were carried out. Numerous m6A modified peaks were identified from CGMMV-infected and control (uninfected) samples. The modification distributions and motifs of these m6A peaks were highly conserved in watermelon transcripts but the modification was more abundant than in other reported crop plants. In early response to CGMMV infection, 422 differentially methylated genes (DMGs) were identified, most of which were hypomethylated, and probably associated with the increased expression of watermelon m6A demethylase gene ClALKBH4B. Gene Ontology (GO) analysis indicated quite a few DMGs were involved in RNA biology and stress responsive pathways. Combined with RNA-seq analysis, there was generally a negative correlation between m6A RNA methylation and transcript level in the watermelon transcriptome. Both the m6A methylation and transcript levels of 59 modified genes significantly changed in response to CGMMV infection and some were involved in plant immunity.ConclusionsOur study represents the first comprehensive characterization of m6A patterns in the watermelon transcriptome and helps to clarify the roles and regulatory mechanisms of m6A modification in watermelon in early responses to CGMMV.

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Transcriptome-Wide Map of N⁶-Methyladenosine Methylome Profiling in Human Bladder Cancer.

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Dataset Information

Transcriptome-Wide Map of N6-Methyladenosine Methylome Profiling in Human Bladder Cancer.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets

Transcriptome-Wide Map of N⁶-Methyladenosine Methylome Profiling in Human Bladder Cancer.