Differential chromatin accessibility landscape of gain-of-function mutant p53 tumours

被引:3
作者
Dhaka, Bhavya [1 ]
Sabarinathan, Radhakrishnan [1 ]
机构
[1] Tata Inst Fundamental Res, Natl Ctr Biol Sci, Bengaluru 560065, India
关键词
TP53; Mutant p53; Chromatin accessibility; Gain-of-function; Transcription factors; Gene regulation; IARC TP53 DATABASE; HUMAN CANCERS; MUTATION; LESSONS; GENES;
D O I
10.1186/s12885-021-08362-x
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
BackgroundMutations in TP53 not only affect its tumour suppressor activity but also exerts oncogenic gain-of-function activity. While the genome-wide mutant p53 binding sites have been identified in cancer cell lines, the chromatin accessibility landscape driven by mutant p53 in primary tumours is unknown. Here, we leveraged the chromatin accessibility data of primary tumours from The Cancer Genome Atlas (TCGA) to identify differentially accessible regions in mutant p53 tumours compared to wild-type p53 tumours, especially in breast and colon cancers.ResultsWe identified 1587 lost and 984 gained accessible chromatin regions in breast, and 1143 lost and 640 gained regions in colon cancers. However, only less than half of those regions in both cancer types contain sequence motifs for wild-type or mutant p53 binding. Whereas, the remaining showed enrichment for master transcriptional regulators, such as FOX-Family TFs and NF-kB in lost and SMAD and KLF TFs in gained regions of breast. In colon, ATF3 and FOS/JUN TFs were enriched in lost, and CDX family TFs and HNF4A in gained regions. By integrating the gene expression data, we identified known and novel target genes regulated by the mutant p53.ConclusionThis study reveals the direct and indirect mechanisms by which gain-of-function mutant p53 targets the chromatin and subsequent gene expression patterns in a tumour-type specific manner. This furthers our understanding of the impact of mutant p53 in cancer development.
引用
收藏
页数:15
相关论文
共 49 条
  • [1] Bokobza Sivan M., 2009, Cancer Genomics & Proteomics, V6, P101
  • [2] TP53 Variations in Human Cancers: New Lessons from the IARC TP53 Database and Genomics Data
    Bouaoun, Liacine
    Sonkin, Dmitriy
    Ardin, Maude
    Hollstein, Monica
    Byrnes, Graham
    Zavadil, Jiri
    Olivier, Magali
    [J]. HUMAN MUTATION, 2016, 37 (09) : 865 - 876
  • [3] Non-B DB v2.0: a database of predicted non-B DNA-forming motifs and its associated tools
    Cer, Regina Z.
    Donohue, Duncan E.
    Mudunuri, Uma S.
    Temiz, Nuri A.
    Loss, Michael A.
    Starner, Nathan J.
    Halusa, Goran N.
    Volfovsky, Natalia
    Yi, Ming
    Luke, Brian T.
    Bacolla, Albino
    Collins, Jack R.
    Stephens, Robert M.
    [J]. NUCLEIC ACIDS RESEARCH, 2013, 41 (D1) : D94 - D100
  • [4] TCGAbiolinks: an R/Bioconductor package for integrative analysis of TCGA data
    Colaprico, Antonio
    Silva, Tiago C.
    Olsen, Catharina
    Garofano, Luciano
    Cava, Claudia
    Garolini, Davide
    Sabedot, Thais S.
    Malta, Tathiane M.
    Pagnotta, Stefano M.
    Castiglioni, Isabella
    Ceccarelli, Michele
    Bontempi, Gianluca
    Noushmehr, Houtan
    [J]. NUCLEIC ACIDS RESEARCH, 2016, 44 (08) : e71
  • [5] The chromatin accessibility landscape of primary human cancers
    Corces, M. Ryan
    Granja, Jeffrey M.
    Shams, Shadi
    Louie, Bryan H.
    Seoane, Jose A.
    Zhou, Wanding
    Silva, Tiago C.
    Groeneveld, Clarice
    Wong, Christopher K.
    Cho, Seung Woo
    Satpathy, Ansuman T.
    Mumbach, Maxwell R.
    Hoadley, Katherine A.
    Robertson, A. Gordon
    Sheffield, Nathan C.
    Felau, Ina
    Castro, Mauro A. A.
    Berman, Benjamin P.
    Staudt, Louis M.
    Zenklusen, Jean C.
    Laird, Peter W.
    Curtis, Christina
    Greenleaf, William J.
    Chang, Howard Y.
    [J]. SCIENCE, 2018, 362 (6413) : 420 - +
  • [6] Low expression of BMPRIB indicates poor prognosis of breast cancer and is insensitive to taxane-anthracycline chemotherapy
    Dai, Kun
    Qin, Fengxia
    Zhang, Huikun
    Liu, Xiaoli
    Guo, Caixia
    Zhang, Ming
    Gu, Feng
    Fu, Li
    Ma, Yongjie
    [J]. ONCOTARGET, 2016, 7 (04) : 4770 - 4784
  • [7] Integrated Analysis of TP53 Gene and Pathway Alterations in The Cancer Genome Atlas
    Donehower, Lawrence A.
    Soussi, Thierry
    Korkut, Anil
    Liu, Yuexin
    Schultz, Andre
    Cardenas, Maria
    Li, Xubin
    Babur, Ozgun
    Hsu, Teng-Kuei
    Lichtarge, Olivier
    Weinstein, John N.
    Akbani, Rehan
    Wheeler, David A.
    [J]. CELL REPORTS, 2019, 28 (05): : 1370 - +
  • [8] Structural studies of p53 inactivation by DNA-contact mutations and its rescue by suppressor mutations via alternative protein-DNA interactions
    Eldar, Amir
    Rozenberg, Haim
    Diskin-Posner, Yael
    Rohs, Remo
    Shakked, Zippora
    [J]. NUCLEIC ACIDS RESEARCH, 2013, 41 (18) : 8748 - 8759
  • [9] GeneHancer: genome-wide integration of enhancers and target genes in GeneCards
    Fishilevich, Simon
    Nudel, Ron
    Rappaport, Noa
    Hadar, Rotem
    Plaschkes, Inbar
    Stein, Tsippi Iny
    Rosen, Naomi
    Kohn, Asher
    Twik, Michal
    Safran, Marilyn
    Lancet, Doron
    Cohen, Dana
    [J]. DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION, 2017,
  • [10] JASPAR 2020: update of the open-access database of transcription factor binding profiles
    Fornes, Oriol
    Castro-Mondragon, Jaime A.
    Khan, Aziz
    van der Lee, Robin
    Zhang, Xi
    Richmond, Phillip A.
    Modi, Bhavi P.
    Correard, Solenne
    Gheorghe, Marius
    Baranasic, Damir
    Santana-Garcia, Walter
    Tan, Ge
    Cheneby, Jeanne
    Ballester, Benoit
    Parcy, Francois
    Sandelin, Albin
    Lenhard, Boris
    Wasserman, Wyeth W.
    Mathelier, Anthony
    [J]. NUCLEIC ACIDS RESEARCH, 2020, 48 (D1) : D87 - D92