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      Tumor suppressor p53 links ceramide metabolism to DNA damage response through alkaline ceramidase 2

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          Abstract

          p53 mediates the DNA damage response (DDR) by regulating the expression of genes implicated in cell cycle arrest, senescence, programmed cell death (PCD), and metabolism. Herein we demonstrate that human alkaline ceramidase 2 (ACER2) is a novel transcriptional target of p53 and that its transactivation by p53 mediates the DDR. We found that p53 overexpression or its activation by ionizing radiation (IR) upregulated ACER2 in cells. Two putative p53 responsive elements (p53REs) were found in its first intron of the ACER2 gene, and Chromatin Immunoprecipitation (ChIP) assays in combination with promoter activity assays demonstrated that these p53REs are the bona fide p53 binding sites that mediate ACER2 transactivation by p53. As ACER2 catalyzes the hydrolysis of ceramides into sphingosine, which in turn is phosphorylated to form sphingosine-1-phosphate (S1P), ACER2 upregulation increased the levels of both sphingosine and S1P while decreasing the levels of ceramides in cells. A moderate upregulation of ACER2 inhibited cell cycle arrest and cellular senescence in response to low-level expression of p53 or low-dose IR by elevating S1P, a pro-proliferative and pro-survival bioactive lipid, and/or decreasing ceramides whereas its robust upregulation mediated PCD in response to high-level expression of p53 or high-dose IR likely by accumulating cellular sphingosine, a pro-death bioactive lipid. ACER2 is frequently inactivated in various cancers due to its deletion or mutations, and restoring its expression inhibited the growth of tumor xenografts in mice. These results suggest that p53 mediates DDR and exerts its tumor suppressive role in part by regulating the expression of ACER2, which in turn regulates the bioactive sphingolipid lipids.

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          Most cited references33

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          Requirement for p53 and p21 to sustain G2 arrest after DNA damage.

          After DNA damage, many cells appear to enter a sustained arrest in the G2 phase of the cell cycle. It is shown here that this arrest could be sustained only when p53 was present in the cell and capable of transcriptionally activating the cyclin-dependent kinase inhibitor p21. After disruption of either the p53 or the p21 gene, gamma radiated cells progressed into mitosis and exhibited a G2 DNA content only because of a failure of cytokinesis. Thus, p53 and p21 appear to be essential for maintaining the G2 checkpoint in human cells.
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            Mitochondrial dynamics and apoptosis.

            In healthy cells, mitochondria continually divide and fuse to form a dynamic interconnecting network. The molecular machinery that mediates this organelle fission and fusion is necessary to maintain mitochondrial integrity, perhaps by facilitating DNA or protein quality control. This network disintegrates during apoptosis at the time of cytochrome c release and prior to caspase activation, yielding more numerous and smaller mitochondria. Recent work shows that proteins involved in mitochondrial fission and fusion also actively participate in apoptosis induction. This review will cover the recent advances and presents competing models on how the mitochondrial fission and fusion machinery may intersect apoptosis pathways.
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              Processing of gene expression data generated by quantitative real-time RT-PCR.

              Quantitative real-time PCR represents a highly sensitive and powerful technique for the quantitation of nucleic acids. It has a tremendous potential for the high-throughput analysis of gene expression in research and routine diagnostics. However, the major hurdle is not the practical performance of the experiments themselves but rather the efficient evaluation and the mathematical and statistical analysis of the enormous amount of data gained by this technology, as these functions are not included in the software provided by the manufacturers of the detection systems. In this work, we focus on the mathematical evaluation and analysis of the data generated by quantitative real-time PCR, the calculation of the final results, the propagation of experimental variation of the measured values to the final results, and the statistical analysis. We developed a Microsoft Excel-based software application coded in Visual Basic for Applications, called Q-Gene, which addresses these points. Q-Gene manages and expedites the planning, performance, and evaluation of quantitative real-time PCR experiments, as well as the mathematical and statistical analysis, storage, and graphical presentation of the data. The Q-Gene software application is a tool to cope with complex quantitative real-time PCR experiments at a high-throughput scale and considerably expedites and rationalizes the experimental setup, data analysis, and data management while ensuring highest reproducibility.
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                Author and article information

                Contributors
                +001-(631)444-7726 , cungui.mao@stonybrook.edu
                Journal
                Cell Death Differ
                Cell Death Differ
                Cell Death and Differentiation
                Nature Publishing Group UK (London )
                1350-9047
                1476-5403
                11 December 2017
                11 December 2017
                May 2018
                : 25
                : 5
                : 841-856
                Affiliations
                [1 ]ISNI 0000 0001 2216 9681, GRID grid.36425.36, Department of Medicine, , State University of New York (SUNY), ; Stony Brook, NY 11794 USA
                [2 ]ISNI 0000 0001 2216 9681, GRID grid.36425.36, Cancer Center at State University of New York (SUNY) at Stony Brook, ; Stony Brook, NY 11794 USA
                [3 ]GRID grid.416466.7, Department of Gastroenterology, , Nanfang Hospital, Southern Medical University, ; Guangzhou, Guangdong Province 510515 China
                [4 ]Northport Veterans Administration Hospital, Northport, NY 11768 USA
                Article
                18
                10.1038/s41418-017-0018-y
                5943524
                29229990
                56e41ae1-dbdc-4f96-8a5e-ff9a6c7b1825
                © ADMC Associazione Differenziamento e Morte Cellulare 2017

                Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, and provide a link to the Creative Commons license. You do not have permission under this license to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

                History
                : 29 January 2017
                : 20 September 2017
                : 18 October 2017
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                © ADMC Associazione Differenziamento e Morte Cellulare 2018

                Cell biology
                Cell biology

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