Comprehensive analysis of m6A methylome and transcriptome by Nanopore sequencing in clear cell renal carcinoma

Author:

Li Hexin1,Li Chang1ORCID,Zhang Yuxiang2,Jiang Weixing2,Zhang Fubo2,Tang Xiaokun1,Sun Gaoyuan1,Xu Siyuan1,Dong Xin2,Shou Jianzhong2,Yang Yong3,Chen Meng2

Affiliation:

1. Clinical Biobank, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine Chinese Academy of Medical Sciences Beijing China

2. Cancer Data Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China

3. Department of Oncology Huai'an TCM Hospital Affiliated to Nanjing University of Chinese Medicine Jiangsu China

Abstract

AbstractN6‐methyladenosine (m6A) is the most prevalent epigenetic modification on eukaryotic messenger RNAs. Recent studies have focused on elucidating the key role of m6A modification patterns in tumor progression. However, the relationship between m6A and transcriptional regulation remains elusive. Nanopore technology enables the quantification of m6A levels at each genomic site. In this study, a pair of tumor tissues and adjacent normal tissues from clear cell renal cell carcinoma (ccRCC) surgical samples were collected for Nanopore direct RNA sequencing. We identified 9644 genes displaying anomalous m6A modifications, with 5343 genes upregulated and 4301 genes downregulated. Among these, 5224 genes were regarded as dysregulated genes, encompassing abnormal regulation of both m6A modification and RNA expression. Gene Set Enrichment Analysis revealed an enrichment of these genes in pathways related to renal system progress and fatty acid metabolic progress. Furthermore, the χ2 test demonstrated a significant association between the levels of m6A in dysregulated genes and their transcriptional expression levels. Additionally, we identified four obesity‐associated genes (FTO, LEPR, ADIPOR2, and NPY5R) among the dysregulated genes. Further analyses using public databases revealed that these four genes were all related to the prognosis and diagnosis of ccRCC. This study introduced the novel approach of employing conjoint analysis of m6A modification and RNA expression based on Nanopore sequencing to explore potential disease‐related genes. Our work demonstrates the feasibility of the application of Nanopore sequencing technology in RNA epigenetic regulation research and identifies new potential therapeutic targets for ccRCC.

Publisher

Wiley

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