Identification of potential regulatory mutations using multiomics analysis and haplotyping of lung adenocarcinoma cell lines

被引:7
|
作者
Sereewattanawoot, Sarun [1 ]
Suzuki, Ayako [2 ]
Seki, Masahide [1 ]
Sakamoto, Yoshitaka [3 ]
Kohno, Takashi [4 ]
Sugano, Sumio [1 ]
Tsuchihara, Katsuya [2 ]
Suzuki, Yutaka [1 ]
机构
[1] Univ Tokyo, Grad Sch Frontier Sci, Dept Computat Biol & Med Sci, Chiba, Japan
[2] Natl Canc Ctr, Exploratory Oncol Res & Clin Trial Ctr, Div Translat Genom, Chiba, Japan
[3] Univ Tokyo, Fac Sci, Dept Bioinformat & Syst Biol, Tokyo, Japan
[4] Natl Canc Ctr, Res Inst, Div Genome Biol, Tokyo, Japan
来源
SCIENTIFIC REPORTS | 2018年 / 8卷
关键词
GENOME BROWSER; EPIGENOME; ATLAS; GENE; TRANSCRIPTOME; SIGNATURES; DATABASE; TOOLKIT;
D O I
10.1038/s41598-018-23342-1
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The functional relevancy of mutations occurring in the regulatory regions in cancers remains mostly elusive. Here, we identified and analyzed regulatory mutations having transcriptional consequences in lung adenocarcinoma-derived cell lines. We phased the mutations in the regulatory regions to the downstream heterozygous SNPs in the coding regions and examined whether the ChIP-Seq variant tags of the regulatory SNVs and the RNA-Seq variant tags of their target transcripts showed biased frequency between the mutant and reference alleles. We identified 137 potential regulatory mutations affecting the transcriptional regulation of 146 RefSeq transcripts with at least 84 SNVs that create and/or disrupt potential transcription factor binding sites. For example, in the regulatory region of NFATC1 gene, a novel and active binding site for the ETS transcription factor family was created. Further examination revealed that 31 of these disruptions were presented in clinical lung adenocarcinoma samples and were associated with prognosis of patients.
引用
收藏
页数:14
相关论文
共 50 条
  • [11] Identification of novel mutations of EGFR genome in lung adenocarcinoma
    Chen, Hsuan-Yu
    Chang, Gee-Chen
    JOURNAL OF CLINICAL ONCOLOGY, 2014, 32 (15)
  • [12] Identification of potential key molecular biomarkers in lung adenocarcinoma by bioinformatics analysis
    Guo, Pengyi
    Xu, Tinghui
    Jiang, Ying
    Shen, Wenming
    TRANSLATIONAL CANCER RESEARCH, 2022, 11 (01) : 227 - 241
  • [13] Identification of potential biomarkers for diagnosis of lung adenocarcinoma
    Tegami, Isabella
    Stanfoca Casagrande, Giovanna Maria
    Da Silva, Luciane Sussuchi
    Cavagna, Rodrigo Oliveira
    Goncalves, Maria Fernanda
    Ferreira Da Silva, Flavio Augusto
    Albino Da Silva, Eduardo Caetano
    Da Silva, Vinicius Duval
    De Marchi, Pedro
    Reis, Rui Manuel
    Leal, Leticia Ferro
    EUROPEAN RESPIRATORY JOURNAL, 2023, 62
  • [14] Identification of Potential Core Gene in Immune Infiltrates of EGFR Mutant Lung Adenocarcinoma using Bioinformatics Analysis
    Xu, T.
    Jiang, L.
    Wang, M.
    Ma, L.
    Wei, C.
    Lu, B.
    Wang, Z.
    JOURNAL OF THORACIC ONCOLOGY, 2021, 16 (03) : S561 - S561
  • [15] T cell receptor repertoire analysis of lung adenocarcinoma harboring EGFR mutations
    Miyauchi, Eisaku
    Matsuda, Tatsuo
    Hsu, Yu-wen
    Tsukita, Yoko
    Ichinose, Masakazu
    Sakurada, Akira
    Okada, Yoshinori
    Saito, Ryoko
    Kiyotani, Kazuma
    Nakamura, Yusuke
    CANCER SCIENCE, 2018, 109 : 1178 - 1178
  • [16] Identification and analysis of prognostic immune cell homeostasis characteristics in lung adenocarcinoma
    Sun, Yidan
    Ma, Qianqian
    Chen, Yixun
    Liao, Dongying
    Kong, Fanming
    CLINICAL RESPIRATORY JOURNAL, 2024, 18 (05):
  • [17] DNA methylation profiling in lung adenocarcinoma cell lines
    Heller, Gerwin
    Ziegler, Barbara
    Gsur, Andrea
    Zielinski, Christoph
    Zoechbauer-Mueller, Sabine
    CANCER RESEARCH, 2009, 69
  • [18] Increasing the racial diversity of lung adenocarcinoma cell lines
    Leon, Christopher
    Gladstone, Matthew A.
    Yan, Chunli
    Romero, Diana I.
    Huang, Yong
    Lamango, Nazarius S.
    Offringa, Ite A.
    CANCER RESEARCH, 2023, 83 (07)
  • [19] Identification of Bona Fide Esophageal Adenocarcinoma Cell Lines
    Shoemaker, Robert H.
    JOURNAL OF THE NATIONAL CANCER INSTITUTE, 2010, 102 (04) : 212 - 213
  • [20] Identification of glycoproteins in lung adenocarcinoma cell surface
    Faca, V.
    Deng, B.
    Phanstiel, D.
    Newscomb, L.
    Hanash, S.
    MOLECULAR & CELLULAR PROTEOMICS, 2005, 4 (08) : S109 - S109