Multi-omics integration of methyltransferase-like protein family reveals clinical outcomes and functional signatures in human cancer

被引:0
|
作者
Ion John Campeanu
Yuanyuan Jiang
Lanxin Liu
Maksymilian Pilecki
Alvina Najor
Era Cobani
Morenci Manning
Xiaohong Mary Zhang
Zeng-Quan Yang
机构
[1] Wayne State University School of Medicine,Department of Oncology
[2] Barbara Ann Karmanos Cancer Institute,Molecular Therapeutics Program
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Human methyltransferase-like (METTL) proteins transfer methyl groups to nucleic acids, proteins, lipids, and other small molecules, subsequently playing important roles in various cellular processes. In this study, we performed integrated genomic, transcriptomic, proteomic, and clinicopathological analyses of 34 METTLs in a large cohort of primary tumor and cell line data. We identified a subset of METTL genes, notably METTL1, METTL7B, and NTMT1, with high frequencies of genomic amplification and/or up-regulation at both the mRNA and protein levels in a spectrum of human cancers. Higher METTL1 expression was associated with high-grade tumors and poor disease prognosis. Loss-of-function analysis in tumor cell lines indicated the biological importance of METTL1, an m7G methyltransferase, in cancer cell growth and survival. Furthermore, functional annotation and pathway analysis of METTL1-associated proteins revealed that, in addition to the METTL1 cofactor WDR4, RNA regulators and DNA packaging complexes may be functionally interconnected with METTL1 in human cancer. Finally, we generated a crystal structure model of the METTL1–WDR4 heterodimeric complex that might aid in understanding the key functional residues. Our results provide new information for further functional study of some METTL alterations in human cancer and might lead to the development of small inhibitors that target cancer-promoting METTLs.
引用
收藏
相关论文
共 50 条
  • [1] Multi-omics integration of methyltransferase-like protein family reveals clinical outcomes and functional signatures in human cancer
    Campeanu, Ion John
    Jiang, Yuanyuan
    Liu, Lanxin
    Pilecki, Maksymilian
    Najor, Alvina
    Cobani, Era
    Manning, Morenci
    Zhang, Xiaohong Mary
    Yang, Zeng-Quan
    SCIENTIFIC REPORTS, 2021, 11 (01)
  • [2] Multi-omics data reveals novel impacts of human papillomavirus integration on the epigenomic and transcriptomic signatures of cervical tumorigenesis
    Zeng, Xi
    Wang, Yuyouye
    Liu, Binghan
    Rao, Xinjie
    Cao, Canhui
    Peng, Fang
    Zhi, Wenhua
    Wu, Ping
    Peng, Ting
    Wei, Ye
    Chu, Tian
    Xu, Miaochun
    Xu, Yashi
    Ding, Wencheng
    Li, Guoliang
    Lin, Shitong
    Wu, Peng
    JOURNAL OF MEDICAL VIROLOGY, 2023, 95 (05)
  • [3] Uncovering clinically relevant omics signatures from pan-cancer imaging and multi-omics data integration
    Wang, Joshua
    Hong, Runyu
    Tan, Jimin
    Liu, Wenke
    Fenyo, David
    CANCER RESEARCH, 2024, 84 (06)
  • [4] Integration Analysis of Single-Cell Multi-Omics Reveals Prostate Cancer Heterogeneity
    Bian, Xiaojie
    Wang, Wenfeng
    Abudurexiti, Mierxiati
    Zhang, Xingming
    Ma, Weiwei
    Shi, Guohai
    Du, Leilei
    Xu, Midie
    Wang, Xin
    Tan, Cong
    Sun, Hui
    He, Xiadi
    Zhang, Chenyue
    Zhu, Yao
    Zhang, Min
    Ye, Dingwei
    Wang, Jianhua
    ADVANCED SCIENCE, 2024, 11 (18)
  • [5] Integration of multi-omics and clinical treatment data reveals bladder cancer therapeutic vulnerability gene combinations and prognostic risks
    Xu, Yan
    Sun, Xiaoyu
    Liu, Guangxu
    Li, Hongze
    Yu, Meng
    Zhu, Yuyan
    FRONTIERS IN IMMUNOLOGY, 2024, 14
  • [6] Integration of multi-omics data reveals a novel hybrid breast cancer subtype and its biomarkers
    Wang, Zhen-zhen
    Li, Xu-hua
    Wen, Xiao-ling
    Wang, Na
    Guo, Yu
    Zhu, Xu
    Fu, Shu-heng
    Xiong, Fei-fan
    Bai, Jing
    Gao, Xiao-ling
    Wang, Hong-jiu
    FRONTIERS IN ONCOLOGY, 2023, 13
  • [7] Multi-omics data integration reveals correlated regulatory features of triple negative breast cancer
    Chappell, Kevin
    Manna, Kanishka
    Washam, Charity L.
    Graw, Stefan
    Alkam, Duah
    Thompson, Matthew D.
    Zafar, Maroof Khan
    Hazeslip, Lindsey
    Randolph, Christopher
    Gies, Allen
    Bird, Jordan T.
    Byrd, Alicia K.
    Miah, Sayem
    Byrum, Stephanie D.
    MOLECULAR OMICS, 2021, 17 (05) : 677 - 691
  • [8] Characterization of cancer subtypes associated with clinical outcomes by multi-omics integrative clustering
    Crippa, Valentina
    Malighetti, Federica
    Villa, Matteo
    Graudenzi, Alex
    Piazza, Rocco
    Mologni, Luca
    Ramazzotti, Daniele
    COMPUTERS IN BIOLOGY AND MEDICINE, 2023, 162
  • [9] Multi-omics prognostic signatures of IPO11 mRNA expression and clinical outcomes in colorectal cancer using bioinformatics approaches
    Aljahdali, Mohammed Othman
    Molla, Mohammad Habibur Rahman
    HEALTH INFORMATION SCIENCE AND SYSTEMS, 2023, 11 (01)
  • [10] Multi-omics prognostic signatures of IPO11 mRNA expression and clinical outcomes in colorectal cancer using bioinformatics approaches
    Mohammed Othman Aljahdali
    Mohammad Habibur Rahman Molla
    Health Information Science and Systems, 11