Functional genomics analyses of RNA-binding proteins reveal the splicing regulator SNRPB as an oncogenic candidate in glioblastoma

被引:80
作者
Correa, Bruna R. [1 ,2 ]
de Araujo, Patricia Rosa [2 ]
Qiao, Mei [2 ]
Burns, Suzanne C. [2 ]
Chen, Chen [3 ]
Schlegel, Richard [3 ]
Agarwal, Seema [3 ]
Galante, Pedro A. F. [1 ]
Penalva, Luiz O. F. [2 ,4 ]
机构
[1] Hosp Sirio Libanes, Ctr Oncol Mol, Sao Paulo, Brazil
[2] UTHSCSA, Childrens Canc Res Inst, San Antonio, TX USA
[3] Georgetown Univ, Med Ctr, Washington, DC 20007 USA
[4] UTHSCSA, Dept Cellular & Struct Biol, San Antonio, TX USA
来源
GENOME BIOLOGY | 2016年 / 17卷
基金
巴西圣保罗研究基金会;
关键词
RNA-binding proteins; Glioblastoma; Glioma stem cells; SNRPB; Splicing; TUMOR-SUPPRESSOR GENE; CANCER STEM-CELLS; POSTTRANSCRIPTIONAL REGULATION; DIFFERENTIAL EXPRESSION; IN-SILICO; IDENTIFICATION; GLIOMA; MUTATIONS; KINASE; GROWTH;
D O I
10.1186/s13059-016-0990-4
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Background: Glioblastoma (GBM) is the most common and aggressive type of brain tumor. Currently, GBM has an extremely poor outcome and there is no effective treatment. In this context, genomic and transcriptomic analyses have become important tools to identify new avenues for therapies. RNA-binding proteins (RBPs) are master regulators of co-and post-transcriptional events; however, their role in GBM remains poorly understood. To further our knowledge of novel regulatory pathways that could contribute to gliomagenesis, we have conducted a systematic study of RBPs in GBM. Results: By measuring expression levels of 1542 human RBPs in GBM samples and glioma stem cell samples, we identified 58 consistently upregulated RBPs. Survival analysis revealed that increased expression of 21 RBPs was also associated with a poor prognosis. To assess the functional impact of those RBPs, we modulated their expression in GBM cell lines and performed viability, proliferation, and apoptosis assays. Combined results revealed a prominent oncogenic candidate, SNRPB, which encodes core spliceosome machinery components. To reveal the impact of SNRPB on splicing and gene expression, we performed its knockdown in a GBM cell line followed by RNA sequencing. We found that the affected genes were involved in RNA processing, DNA repair, and chromatin remodeling. Additionally, genes and pathways already associated with gliomagenesis, as well as a set of general cancer genes, also presented with splicing and expression alterations. Conclusions: Our study provides new insights into how RBPs, and specifically SNRPB, regulate gene expression and directly impact GBM development.
引用
收藏
页数:16
相关论文
共 103 条
  • [21] A restricted cell population propagates glioblastoma growth after chemotherapy
    Chen, Jian
    Li, Yanjiao
    Yu, Tzong-Shiue
    McKay, Renee M.
    Burns, Dennis K.
    Kernie, Steven G.
    Parada, Luis F.
    [J]. NATURE, 2012, 488 (7412) : 522 - +
  • [22] MiR-124-5p inhibits the growth of high-grade gliomas through posttranscriptional regulation of LAMB1
    Chen, Qiang
    Lu, Guohui
    Cai, Yingqian
    Li, Yufa
    Xu, Ruxiang
    Ke, Yiquan
    Zhang, Shizhong
    [J]. NEURO-ONCOLOGY, 2014, 16 (05) : 637 - 651
  • [23] Chesnais V, 2012, ONCOTARGET, V3, P1284
  • [24] Comprehensive genomic characterization defines human glioblastoma genes and core pathways
    Chin, L.
    Meyerson, M.
    Aldape, K.
    Bigner, D.
    Mikkelsen, T.
    VandenBerg, S.
    Kahn, A.
    Penny, R.
    Ferguson, M. L.
    Gerhard, D. S.
    Getz, G.
    Brennan, C.
    Taylor, B. S.
    Winckler, W.
    Park, P.
    Ladanyi, M.
    Hoadley, K. A.
    Verhaak, R. G. W.
    Hayes, D. N.
    Spellman, Paul T.
    Absher, D.
    Weir, B. A.
    Ding, L.
    Wheeler, D.
    Lawrence, M. S.
    Cibulskis, K.
    Mardis, E.
    Zhang, Jinghui
    Wilson, R. K.
    Donehower, L.
    Wheeler, D. A.
    Purdom, E.
    Wallis, J.
    Laird, P. W.
    Herman, J. G.
    Schuebel, K. E.
    Weisenberger, D. J.
    Baylin, S. B.
    Schultz, N.
    Yao, Jun
    Wiedemeyer, R.
    Weinstein, J.
    Sander, C.
    Gibbs, R. A.
    Gray, J.
    Kucherlapati, R.
    Lander, E. S.
    Myers, R. M.
    Perou, C. M.
    McLendon, Roger
    [J]. NATURE, 2008, 455 (7216) : 1061 - 1068
  • [25] miRTarBase 2016: updates to the experimentally validated miRNA-target interactions database
    Chou, Chih-Hung
    Chang, Nai-Wen
    Shrestha, Sirjana
    Hsu, Sheng-Da
    Lin, Yu-Ling
    Lee, Wei-Hsiang
    Yang, Chi-Dung
    Hong, Hsiao-Chin
    Wei, Ting-Yen
    Tu, Siang-Jyun
    Tsai, Tzi-Ren
    Ho, Shu-Yi
    Jian, Ting-Yan
    Wu, Hsin-Yi
    Chen, Pin-Rong
    Lin, Nai-Chieh
    Huang, Hsin-Tzu
    Yang, Tzu-Ling
    Pai, Chung-Yuan
    Tai, Chun-San
    Chen, Wen-Liang
    Huang, Chia-Yen
    Liu, Chun-Chi
    Weng, Shun-Long
    Liao, Kuang-Wen
    Hsu, Wen-Lian
    Huang, Hsien-Da
    [J]. NUCLEIC ACIDS RESEARCH, 2016, 44 (D1) : D239 - D247
  • [26] The alternative splicing repressors hnRNP A1/A2 and PTB influence pyruvate kinase isoform expression and cell metabolism
    Clower, Cynthia V.
    Chatterjee, Deblina
    Wang, Zhenxun
    Cantley, Lewis C.
    Heiden, Matthew G. Vander
    Krainer, Adrian R.
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2010, 107 (05) : 1894 - 1899
  • [27] Effects of hnRNP A2/B1 Knockdown on Inhibition of Glioblastoma Cell Invasion, Growth and Survival
    Deng, Jinmu
    Chen, Song
    Wang, Feng
    Zhao, Hongxin
    Xie, Zongyi
    Xu, Zhongye
    Zhang, Qingtao
    Liang, Ping
    Zhai, Xuan
    Cheng, Yuan
    [J]. MOLECULAR NEUROBIOLOGY, 2016, 53 (02) : 1132 - 1144
  • [28] DAVID: Database for annotation, visualization, and integrated discovery
    Dennis, G
    Sherman, BT
    Hosack, DA
    Yang, J
    Gao, W
    Lane, HC
    Lempicki, RA
    [J]. GENOME BIOLOGY, 2003, 4 (09)
  • [29] PBK/TOPK, a proliferating neural progenitor-specific mitogen-activated protein kinase kinase
    Dougherty, JD
    Garcia, ADR
    Nakano, I
    Livingstone, M
    Norris, B
    Polakiewicz, R
    Wexler, EM
    Sofroniew, MV
    Kornblum, HI
    Geschwind, DH
    [J]. JOURNAL OF NEUROSCIENCE, 2005, 25 (46) : 10773 - 10785
  • [30] Widespread intron retention diversifies most cancer transcriptomes
    Dvinge, Heidi
    Bradley, Robert K.
    [J]. GENOME MEDICINE, 2015, 7