| Literature DB >> 30061407 |
Hidekazu Nagano1,2, Naoko Hashimoto2,3, Akitoshi Nakayama2,3, Sawako Suzuki1,2, Yui Miyabayashi3, Azusa Yamato2,3, Seiichiro Higuchi2,3, Masanori Fujimoto1,2, Ikki Sakuma1,2, Minako Beppu2,3, Masataka Yokoyama2,3, Yutaka Suzuki4, Sumio Sugano4, Kazuhiro Ikeda5, Ichiro Tatsuno6, Ichiro Manabe7, Koutaro Yokote1, Satoshi Inoue5,8, Tomoaki Tanaka9,3.
Abstract
The tumor suppressor p53 regulates multiple cellular functions, including energy metabolism. Metabolic deregulation is implicated in the pathogenesis of some cancers and in metabolic disorders and may result from the inactivation of p53 functions. Using RNA sequencing and ChIP sequencing of cancer cells and preadipocytes, we demonstrate that p53 modulates several metabolic processes via the transactivation of energy metabolism genes including dihydropyrimidinase-like 4 (DPYSL4). DPYSL4 is a member of the collapsin response mediator protein family, which is involved in cancer invasion and progression. Intriguingly, DPYSL4 overexpression in cancer cells and preadipocytes up-regulated ATP production and oxygen consumption, while DPYSL4 knockdown using siRNA or CRISPR/Cas9 down-regulated energy production. Furthermore, DPYSL4 was associated with mitochondrial supercomplexes, and deletion of its dihydropyrimidinase-like domain abolished its association and its ability to stimulate ATP production and suppress the cancer cell invasion. Mouse-xenograft and lung-metastasis models indicated that DPYSL4 expression compromised tumor growth and metastasis in vivo. Consistently, database analyses demonstrated that low DPYSL4 expression was significantly associated with poor survival of breast and ovarian cancers in accordance with its reduced expression in certain types of cancer tissues. Moreover, immunohistochemical analysis using the adipose tissue of obese patients revealed that DPYSL4 expression was positively correlated with INFg and body mass index in accordance with p53 activation. Together, these results suggest that DPYSL4 plays a key role in the tumor-suppressor function of p53 by regulating oxidative phosphorylation and the cellular energy supply via its association with mitochondrial supercomplexes, possibly linking to the pathophysiology of both cancer and obesity.Entities:
Keywords: cancer; metabolism; mitochondria; obesity; tumor suppressor p53
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Year: 2018 PMID: 30061407 PMCID: PMC6099896 DOI: 10.1073/pnas.1804243115
Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN: 0027-8424 Impact factor: 11.205
Fig. 1.Identification of DPYSL4 as a p53-inducible gene in H1299 cells and preadipocytes. (A) Common p53-inducible genes in H1299 cells and preadipocytes determined by RNA-seq. H1299 cells were infected with adenoviruses expressing either LacZ or p53 for 24 h. Human preadipocytes were either untreated (Cont) or treated with doxorubicin (ADR; 1 μM) for 24 h. A Venn diagram shows the DEGs in H1299 cells (left circle in blue) and preadipocytes after DNA damage (right circle in yellow). FDR, false discovery rate. (B) The bar graph shows the top DEGs in H1299 cells (blue bar) and preadipocytes (yellow bar). (C) p53-ChIP, TSS, and RNA-seq of the DPYSL4 loci in H1299 cells. H1299 cells were infected with adenoviruses expressing either LacZ or p53 for 24 h. (D) ChIP-seq for AcH3 and 3meK4H3 and RNA-seq at DPYSL4 loci in human preadipocytes upon DNA damage. Human preadipocytes were either untreated (Cont) or treated with doxorubicin (1 μM) for 24 h. (E and H) HCT116 p53+/+ or p53−/− cells were treated with doxorubicin (ADR; 1 μM) or daunorubicin (Dauno; 1 μM) followed by immunoblotting to detect p53, DPYSL4, and actin and real-time RT-PCR analysis of DPYSL4 expression normalized by L32 mRNA. A549 cells (F and I) and preadipocytes (G and J) were transfected with luciferase RNAi (Luci), p53 RNAi, or DPYSL4 RNAi for 24 h. Then, the cells were either untreated (Cont) or treated with Dauno (1 μM and 0.5 μM for A549 and preadipocytes, respectively) for another 24 h. Immunoblotting to detect p53, DPYSL4, and actin and real-time RT-PCR analysis to determine the expression levels of DPYSL4 mRNA were performed. Asterisk shows that the minor band was detected with an anti-DPYSL4 antibody (EPR7591).
Fig. 2.DPYSL4 partially localizes to mitochondria and associates with mitochondrial supercomplexes. (A) HDF cells and preadipocytes were treated with daunorubicin (Dauno, 1 μM) for 24 h and with desferrioxamine (DFX, 300 μM) for 12 h, respectively, and then subjected to confocal microscopic analyses using an anti-DPYSL4 antibody along with Mitotracker (Upper) or an anti-NDUFA9 antibody (Lower). Nuclei were counterstained with DAPI. (B) H1299 cells were either mock-infected or infected with lentivirus expressing DPYSL4 for 3 d and then subjected to mitochondrial fractionation. Immunoblotting was performed to detect DPYSL4-FLAG and the indicated components of mitochondrial complex proteins in the cytosolic and mitochondrial fractions. (C) DPYSL4 was either not (WT) or knocked out (KO) using the CRISPR/Cas9 system in preadipocytes. Immunoblotting performed to detect endogenous DPYSL4 indicated components of mitochondrial supercomplexes in the cytosolic and mitochondrial fractions. (D and E) Identification of mitochondrial supercomplexes and their association with DPYSL4 in H1299 cells. Cells were treated as in B for 3 d and then subjected to mitochondrial supercomplex assay and analysis by 2D resolution of BN-PAGE followed by SDS/PAGE. Immunoblotting was performed with anti-FLAG M2 to detect DPYSL4-FLAG (red asterisk). and with anti-NDUFV1, anti-SDHB, anti-RISP, and anti-COX4 to detect complexes I, II, III, and IV, respectively. (F) The identification of mitochondrial supercomplexes and their association with endogenous DPYSL4 in preadipocytes. Immunoblotting was performed with only anti-DPYSL4 (Right) or along with anti-NDUFA9, anti-SDHB, anti-UQCRFS1, and anti-COX4 to detect complexes I, II, III, and IV, respectively (Left).
Fig. 3.DPYSL4 is a potential regulator of ATP production and oxidative phosphorylation, and the D domain of DPYSL4 is important for ATP production and tumor-cell invasion. (A and B) After HCT116 p53+/+ cells were treated with Luci, p53, or DPYSL4 RNAi for 48 h, the OCR was recorded by flux analyzer. The OCR was measured at baseline and after treatment with oligomycin, FCCP, and mixture of antimycin and rotenone. (C) Similarly, the NAD+/NADH ratio was measured (*P < 0.05). (D) The graph shows the average invasion index of three independent experiments with error bars representing the SD. (E) A schematic representation of cDNA constructs of the full-length DPYSL4 (FL) and DPYSL4 lacking amino acids 194–243 (Δmid). (F and G) After H1299 cells overexpressed mock, FL-DPYSL4 (FL), or DPYSL4Δmid (Δmid) for 72 h, the OCR was recorded by flux analyzer (*P < 0.05). (H) The identification of mitochondrial supercomplexes and their association with FL, but not Δmid, in H1299 cells. (I and J) In preadipocytes of WT or p53 KO and DPYSL4 KO using CRISPR/Cas9, the OCR was recorded by flux analyzer (*P < 0.05). (K) Immunoblotting was performed to evaluate the knockout efficacy of endogenous DPYSL4.
Fig. 4.Loss of DPYSL4 expression in various cancer tissues and the potential tumor suppressor function of DPYSL4 in vivo and p53 activation and DPYSL4 up-regulation in human adipose tissue from obese patients. (A and B) H1299 cells were mock-infected or infected with lentivirus expressing DPYSL4 for 3 d, and then injected into a xenograft model or a lung-metastasis model with NOD/SCID mice. Tumor growth was measured over time. The red arrows show metastasis. (C) The loss or reduction of DPYSL4 mRNA expression in indicated human cancer tissues based on analysis using the Oncomine database and TCGA (*P < 0.05). (D) Kaplan–Meier analyses were performed using the KM-plotter database (kmplot.com/analysis/). Graphs represent survival curve in comparison between DPYSL4 high (red) and DPYSL4 low (black) in breast and ovarian cancer. (E) The sizes of adipocytes in nonobese and obese patients are shown. (F) Immunohistology of human adipose tissue. p53- or CD68-positive cells and -negative cells were counted, and positive rates were calculated. (G) Correlations between the mRNA expression of DPYSL4 and that of IFN-γ and BMI (*P < 0.05). (H) mRNA expression of DPYSL4, CDKNA1, MCP1, and IFNg was normalized by L32 expression and then analyzed in adipose tissues.