Dichotomous intronic polyadenylation profiles reveal multifaceted gene functions in the pan-cancer transcriptome

被引:0
|
作者
Sun, Jiao [1 ,2 ]
Kim, Jin-Young [3 ]
Jun, Semo [4 ]
Park, Meeyeon [5 ]
de Jong, Ebbing [5 ,7 ]
Chang, Jae-Woong [5 ]
Cheng, Sze [5 ]
Fan, Deliang [6 ]
Chen, Yue [5 ]
Griffin, Timothy J. [5 ]
Lee, Jung-Hee [4 ]
You, Ho Jin [3 ]
Zhang, Wei [1 ]
Yong, Jeongsik [5 ]
机构
[1] Univ Cent Florida, Dept Comp Sci, Orlando, FL 32816 USA
[2] St Jude Childrens Res Hosp, Dept Biostat, Memphis, TN 38105 USA
[3] Chosun Univ, Dept Pharmacol, Sch Med, Gwangju 61452, South Korea
[4] Chosun Univ, Dept Cellular & Mol Med, Sch Med, Gwangju 61452, South Korea
[5] Univ Minnesota Twin Cities, Dept Biochem Mol Biol & Biophys, Minneapolis, MN 55455 USA
[6] Johns Hopkins Univ, Dept Elect & Comp Engn, Baltimore, MD USA
[7] SUNY Upstate Med Univ, Syracuse, NY 13210 USA
来源
EXPERIMENTAL AND MOLECULAR MEDICINE | 2024年 / 56卷 / 10期
关键词
ALTERNATIVE POLYADENYLATION; JMJD6; EXPRESSION; CLEAVAGE; MODEL;
D O I
10.1038/s12276-024-01289-w
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Alternative cleavage and polyadenylation within introns (intronic APA) generate shorter mRNA isoforms; however, their physiological significance remains elusive. In this study, we developed a comprehensive workflow to analyze intronic APA profiles using the mammalian target of rapamycin (mTOR)-regulated transcriptome as a model system. Our investigation revealed two contrasting effects within the transcriptome in response to fluctuations in cellular mTOR activity: an increase in intronic APA for a subset of genes and a decrease for another subset of genes. The application of this workflow to RNA-seq data from The Cancer Genome Atlas demonstrated that this dichotomous intronic APA pattern is a consistent feature in transcriptomes across both normal tissues and various cancer types. Notably, our analyses of protein length changes resulting from intronic APA events revealed two distinct phenomena in proteome programming: a loss of functional domains due to significant changes in protein length or minimal alterations in C-terminal protein sequences within unstructured regions. Focusing on conserved intronic APA events across 10 different cancer types highlighted the prevalence of the latter cases in cancer transcriptomes, whereas the former cases were relatively enriched in normal tissue transcriptomes. These observations suggest potential, yet distinct, roles for intronic APA events during pathogenic processes and emphasize the abundance of protein isoforms with similar lengths in the cancer proteome. Furthermore, our investigation into the isoform-specific functions of JMJD6 intronic APA events supported the hypothesis that alterations in unstructured C-terminal protein regions lead to functional differences. Collectively, our findings underscore intronic APA events as a discrete molecular signature present in both normal tissues and cancer transcriptomes, highlighting the contribution of APA to the multifaceted functionality of the cancer proteome.
引用
收藏
页码:2145 / 2161
页数:17
相关论文
共 50 条
  • [21] Pan-cancer immunogenomic analyses reveal sex disparity in the efficacy of cancer immunotherapy
    Wang, Peng-Fei
    Song, Hai-Feng
    Zhang, Qian
    Yan, Chang-Xiang
    EUROPEAN JOURNAL OF CANCER, 2020, 126 : 136 - 138
  • [22] Pan-cancer analyses reveal genomics and clinical characteristics of the melatonergic regulators in cancer
    Zhang, Jian
    Jiang, Huali
    Du, Kunpeng
    Xie, Tao
    Wang, Baiyao
    Chen, Chengcong
    Reiter, Russel J.
    Cen, Bohong
    Yuan, Yawei
    JOURNAL OF PINEAL RESEARCH, 2021, 71 (03)
  • [23] Human germline and pan-cancer variomes and their distinct functional profiles
    Pan, Yang
    Karagiannis, Konstantinos
    Zhang, Haichen
    Dingerdissen, Hayley
    Shamsaddini, Amirhossein
    Wan, Quan
    Simonyan, Vahan
    Mazumder, Raja
    NUCLEIC ACIDS RESEARCH, 2014, 42 (18) : 11570 - 11588
  • [24] Pan-cancer analysis of sex differences in somatic mutation profiles
    Li, Constance H.
    Haider, Syed
    Boutros, Paul C.
    CANCER RESEARCH, 2016, 76
  • [25] PAN-CANCER PROFILES OF BRAIN METASTASES: PRIORITIZATION OF THERAPEUTIC TARGETS
    Ferguson, Sherise
    Zheng, Siyuan
    Xiu, Joanne
    Zhou, Shouhao
    Khasraw, Mustafa
    Brastianos, Priscilla K.
    Kesari, Santosh
    Hu, Jethro
    Rudnick, Jeremy
    Salacz, Michael
    Piccioni, David
    Suyun, Huang
    Davies, Micheal
    Glitza, Isabella
    Heymach, John
    Zhang, Jianjun
    Ibrahim, Nuhad
    de Groot, John
    McCarty, Joseph
    O'Brien, Barbara J.
    Sawaya, Raymond
    Verhaak, Roel
    Reddy, Sandeep
    Priebe, Waldemar
    Spetzler, David
    Heimberger, Amy
    NEURO-ONCOLOGY, 2017, 19 : 40 - 41
  • [26] Pan-cancer analyses reveal molecular and clinical characteristics of cuproptosis regulators
    Wu, Changwu
    Tan, Jun
    Wang, Xiangyu
    Qin, Chaoying
    Long, Wenyong
    Pan, Yimin
    Li, Yuzhe
    Liu, Qing
    IMETA, 2023, 2 (01):
  • [27] Differential Integration of Transcriptome and Proteome Identifies Pan-Cancer Prognostic Biomarkers
    Schwartz, Gregory W.
    Petrovic, Jelena
    Zhou, Yeqiao
    Faryabi, Robert B.
    FRONTIERS IN GENETICS, 2018, 9
  • [28] SJPedPanel: A pan-cancer gene panel for childhood malignancies
    Kolekar, Pandurang
    Balagopal, Vidya
    Dong, Li
    Liu, Yanling
    Foy, Scott
    Quang Tran
    Mulder, Heather
    Huskey, Anna L. W.
    Plyler, Emily
    Liang, Zhikai
    Ma, Jingqun
    Nakitandwe, Joy
    Gu, Jiali
    Maciaszek, Jamie
    Payne-Turner, Debbie
    Mallampati, Saradhi
    Wang, Lu
    Easton, John
    Klco, Jeffery M.
    Ma, Xiaotu
    CANCER RESEARCH, 2024, 84 (06)
  • [29] The panoramic picture of pepsinogen gene family with pan-cancer
    Shen, Shixuan
    Li, Hao
    Liu, Jingwei
    Sun, Liping
    Yuan, Yuan
    CANCER MEDICINE, 2020, 9 (23): : 9064 - 9080
  • [30] Pan-cancer patterns of cuproptosis markers reveal biologically and clinically relevant cancer subtypes
    Bu, Fanqin
    Li, Xiangji
    Zhao, Yu
    Bai, Liyi
    Zhang, Shutian
    Min, Li
    BIOMARKER RESEARCH, 2023, 11 (01)