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DNA-PKcs has KU-dependent function in rRNA processing and haematopoiesis 期刊论文
NATURE, 2020, 579 (7798) : 291-+
作者:  Avellaneda, Mario J.;  Franke, Kamila B.;  Sunderlikova, Vanda;  Bukau, Bernd;  Mogk, Axel;  Tans, Sander J.
收藏  |  浏览/下载:11/0  |  提交时间:2020/07/03

The DNA-dependent protein kinase (DNA-PK), which comprises the KU heterodimer and a catalytic subunit (DNA-PKcs), is a classical non-homologous end-joining (cNHEJ) factor(1). KU binds to DNA ends, initiates cNHEJ, and recruits and activates DNA-PKcs. KU also binds to RNA, but the relevance of this interaction in mammals is unclear. Here we use mouse models to show that DNA-PK has an unexpected role in the biogenesis of ribosomal RNA (rRNA) and in haematopoiesis. The expression of kinase-dead DNA-PKcs abrogates cNHEJ(2). However, most mice that both expressed kinase-dead DNA-PKcs and lacked the tumour suppressor TP53 developed myeloid disease, whereas all other previously characterized mice deficient in both cNHEJ and TP53 expression succumbed to pro-B cell lymphoma(3). DNA-PK autophosphorylates DNA-PKcs, which is its best characterized substrate. Blocking the phosphorylation of DNA-PKcs at the T2609 cluster, but not the S2056 cluster, led to KU-dependent defects in 18S rRNA processing, compromised global protein synthesis in haematopoietic cells and caused bone marrow failure in mice. KU drives the assembly of DNA-PKcs on a wide range of cellular RNAs, including the U3 small nucleolar RNA, which is essential for processing of 18S rRNA(4). U3 activates purified DNA-PK and triggers phosphorylation of DNA-PKcs at T2609. DNA-PK, but not other cNHEJ factors, resides in nucleoli in an rRNA-dependent manner and is co-purified with the small subunit processome. Together our data show that DNA-PK has RNA-dependent, cNHEJ-independent functions during ribosome biogenesis that require the kinase activity of DNA-PKcs and its phosphorylation at the T2609 cluster.


  
Loss of p53 drives neuron reprogramming in head and neck cancer 期刊论文
NATURE, 2020, 578 (7795) : 449-+
作者:  Lipson, Mark;  39;ane
收藏  |  浏览/下载:23/0  |  提交时间:2020/07/03

MicroRNAs from head and neck cancer cells, shuttled to sensory neurons by extracellular vesicles, cause a shift to an adrenergic neuronal phenotype that promotes tumour progression.


The solid tumour microenvironment includes nerve fibres that arise from the peripheral nervous system(1,2). Recent work indicates that newly formed adrenergic nerve fibres promote tumour growth, but the origin of these nerves and the mechanism of their inception are unknown(1,3). Here, by comparing the transcriptomes of cancer-associated trigeminal sensory neurons with those of endogenous neurons in mouse models of oral cancer, we identified an adrenergic differentiation signature. We show that loss of TP53 leads to adrenergic transdifferentiation of tumour-associated sensory nerves through loss of the microRNA miR-34a. Tumour growth was inhibited by sensory denervation or pharmacological blockade of adrenergic receptors, but not by chemical sympathectomy of pre-existing adrenergic nerves. A retrospective analysis of samples from oral cancer revealed that p53 status was associated with nerve density, which was in turn associated with poor clinical outcomes. This crosstalk between cancer cells and neurons represents mechanism by which tumour-associated neurons are reprogrammed towards an adrenergic phenotype that can stimulate tumour progression, and is a potential target for anticancer therapy.


  
Analyses of non-coding somatic drivers in 2,658 cancer whole genomes 期刊论文
NATURE, 2020, 578 (7793) : 102-+
作者:  Clark, Timothy D.;  Raby, Graham D.;  Roche, Dominique G.;  Binning, Sandra A.;  Speers-Roesch, Ben;  Jutfelt, Fredrik;  Sundin, Josefin
收藏  |  浏览/下载:15/0  |  提交时间:2020/07/03

The discovery of drivers of cancer has traditionally focused on protein-coding genes(1-4). Here we present analyses of driver point mutations and structural variants in non-coding regions across 2,658 genomes from the Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium(5) of the International Cancer Genome Consortium (ICGC) and The Cancer Genome Atlas (TCGA). For point mutations, we developed a statistically rigorous strategy for combining significance levels from multiple methods of driver discovery that overcomes the limitations of individual methods. For structural variants, we present two methods of driver discovery, and identify regions that are significantly affected by recurrent breakpoints and recurrent somatic juxtapositions. Our analyses confirm previously reported drivers(6,7), raise doubts about others and identify novel candidates, including point mutations in the 5'  region of TP53, in the 3'  untranslated regions of NFKBIZ and TOB1, focal deletions in BRD4 and rearrangements in the loci of AKR1C genes. We show that although point mutations and structural variants that drive cancer are less frequent in non-coding genes and regulatory sequences than in protein-coding genes, additional examples of these drivers will be found as more cancer genomes become available.