CVm6A: A Visualization and Exploration Database for m<sup>6</sup>As in Cell Lines
Yujing Han,
Jing Feng,
Linjian Xia,
Xin Dong,
Xinyang Zhang,
Shihan Zhang,
Yuqi Miao,
Qidi Xu,
Shan Xiao,
Zhixiang Zuo,
Laixin Xia,
Chunjiang He
Affiliations
Yujing Han
School of Basic Medical Sciences, Wuhan University, Wuhan 430071, Hubei, China
Jing Feng
School of Computer Science, Wuhan University, Wuhan 430072, Hubei, China
Linjian Xia
School of Basic Medical Sciences, Wuhan University, Wuhan 430071, Hubei, China
Xin Dong
School of Basic Medical Sciences, Wuhan University, Wuhan 430071, Hubei, China
Xinyang Zhang
School of Basic Medical Sciences, Wuhan University, Wuhan 430071, Hubei, China
Shihan Zhang
School of Basic Medical Sciences, Wuhan University, Wuhan 430071, Hubei, China
Yuqi Miao
School of Basic Medical Sciences, Wuhan University, Wuhan 430071, Hubei, China
Qidi Xu
School of Basic Medical Sciences, Wuhan University, Wuhan 430071, Hubei, China
Shan Xiao
Department of Developmental Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China
Zhixiang Zuo
Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, China
Laixin Xia
Department of Developmental Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China
Chunjiang He
School of Basic Medical Sciences, Wuhan University, Wuhan 430071, Hubei, China
N6-methyladenosine (m6A) has been identified in various biological processes and plays important regulatory functions in diverse cells. However, there is still no visualization database for exploring global m6A patterns across cell lines. Here we collected all available MeRIP-Seq and m6A-CLIP-Seq datasets from public databases and identified 340,950 and 179,201 m6A peaks dependent on 23 human and eight mouse cell lines respectively. Those m6A peaks were further classified into mRNA and lncRNA groups. To better understand the potential function of m6A, we then mapped m6A peaks in different subcellular components and gene regions. Among those human m6A modification, 190,050 and 150,900 peaks were identified in cancer and non-cancer cells, respectively. Finally, all results were integrated and imported into a visualized cell-dependent m6A database CVm6A. We believe the specificity of CVm6A could significantly contribute to the research for the function and regulation of cell-dependent m6A modification in disease and development.