PGC-1α在CH1细胞中通过ATP和ROS调控细胞周期

PGC-1α regulates the cell cycle through ATP and ROS in CH1 cells # # PGC-1α在CH1细胞中通过ATP和ROS调控细胞周期 1 2 first-author 1 1 1 1 1 1 1 corresp ‡Corresponding Author ‡Corresponding Author †E-mail:cuiqinghua@ynu.edu.cn †E-mail:cuiqinghua@ynu.edu.cn cuiqinghua@ynu.edu.cn School of Life Sciences, Yunnan University, Kunming 650091, China School of Life Sciences, Yunnan University, Kunming 650091, China School of Medicine, Yunnan University, Kunming 650091, China School of Medicine, Yunnan University, Kunming 650091, China Peroxisome proliferator-activated receptor-γ coactivator 1α (PGC-1α) is a transcriptional co-activator involved in mitochondrial biogenesis, respiratory capacity, and oxidative phosphorylation (OXPHOS). PGC-1α plays an important role in cellular metabolism and is associated with tumorigenesis, suggesting an involvement in cell cycle progression. However, the underlying mechanisms mediating its involvement in these processes remain unclear. To elucidate the signaling pathways involved in PGC-1α function, we established a cell line, CH1 PGC-1α, which stably overexpresses PGC-1α. Using this cell line, we found that over-expression of PGC-1α stimulated extra adenosine triphosphate (ATP) and reduced reactive oxygen species (ROS) production. These effects were accompanied by up-regulation of the cell cycle checkpoint regulators CyclinD1 and CyclinB1. We hypothesized that ATP and ROS function as cellular signals to regulate cyclins and control cell cycle progression. Indeed, we found that reduction of ATP levels down-regulated CyclinD1 but not CyclinB1, whereas elevation of ROS levels down-regulated CyclinB1 but not CyclinD1. Furthermore, both low ATP levels and elevated ROS levels inhibited cell growth, but PGC-1α was maintained at a constant level. Together, these results demonstrate that PGC-1α regulates cell cycle progression through modulation of CyclinD1 and CyclinB1 by ATP and ROS. These findings suggest that PGC-1α potentially coordinates energy metabolism together with the cell cycle. 目的 2 探讨在CH1细胞中过氧化物酶体增殖物受体γ共激活因子1α（PGC-1α）调控细胞周期时三磷酸腺苷（ATP）和活性氧（ROS）的作用机制。 创新点 2 构建了稳定表达PGC-1α的CH1细胞株，并系统地研究了PGC-1α调控细胞周期是通过ATP和ROS调节CyclinD1和CyclinB1的行使功能。 方法 2 以慢病毒质粒pBABE为载体构建了PGC-1α稳定表达的CH1 PGC-1α细胞株（PGC-1α），同时转染空质粒pBABE作为对照（PB），结合RNA干扰CH1 PGC-1α中PGC-1α的过表达（Si），测定了ATP和ROS水平。用流式细胞术检测了细胞周期和免疫印迹检测了CyclinB1/D1的表达，并进一步分别用寡霉素抑制PGC-1α细胞中的ATP生成，用H 2 O 2 处理细胞以增加外源ROS水平。然后检测ATP和ROS改变后，对CyclinB1/D1表达及细胞周期的影响，以明确ATP和ROS是否参与PGC-1α对细胞周期的调控作用。 结论 2 本实验成功构建了稳定表达PGC-1α的细胞株（图1和图2a），与PB对照和RNA干扰PGC-1α比较，过表达PGC-1α具有升高ATP、降低ROS和促进细胞周期的作用（图3和图4）。进一步用寡霉素抑制ATP合成后发现CyclinD1明显下调（图5），而加入H 2 O 2 增加外源ROS后发现CyclinB1显著上调（图6）。通过本实验我们提出PGC-1α调控细胞周期是通过升高ATP水平抑制CyclinD1表达和降低ROS水平促进CyclinB1表达来实现。 Peroxisome proliferator-activated receptor-γ coactivator 1α (PGC-1α) Mitochondria Oxidative phosphorylation (OXPHOS) Cell cycle CyclinD1 CyclinB1 过氧化物酶体增殖物受体γ共激活因子1α（PGC-1α） 线粒体 氧化磷酸化 细胞周期 CyclinD1 CyclinB1 Introduction 1 Impairment of mitochondrial oxidative phosphorylation (OXPHOS) leads to depletion of adenosine triphosphate (ATP) and overproduction of reactive oxygen species (ROS), which further induce cell growth defects in mitochondrial disease (Wallace, 2005 2005 ; Chaturvedi and Beal, 2013 2013 ). The transcriptional co-activator peroxisome proliferator-activated receptor-γ coactivator 1α (PGC-1α) is a key regulator of signaling pathways that promote mitochondrial biogenesis and bioenergetics in cardiomyocytes, and PGC-1α regulates peroxisome proliferator-activated receptor α (PPARα) to enhance the transcription of mitochondrial fatty acid β-oxidation enzymes (Wu et al., 1999 1999 ; Lehman et al., 2000 2000 ; Vega et al., 2000 2000 ). It interacts with a broad range of transcription factors, including nuclear hormone receptors, nuclear respiratory factors, and specific transcription factors, to regulate glucose metabolism and response to environmental stimuli such as cold exposure and prolonged starvation (Cannon et al., 1998 1998 ; Meirhaeghe et al., 2003 2003 ; Lin et al., 2005 2005 ). Consistent with these roles, it is expressed at high levels in tissues with a high energy demand, such as brain, kidney, cardiac, and skeletal muscle (Lin et al., 2005 2005 ). Therefore, PGC-1α dysregulation has critical roles in vascular disease, diabetes, and neurodegenerative disease (Lin et al., 2005 2005 ). The mechanisms governing cellular energy homeostasis have been an area of active investigation, and numerous studies have implicated PGC-1α as a key player in the control of energy homeostasis (Rohas et al., 2007 2007 ). However, the mechanisms by which PGC-1α exerts this control have remained unclear. Mitochondria are essential for producing the energy source ATP as well as ROS by-products. ATP generation is finely tuned to match energy demand as an important signal for macro-molecule production and DNA synthesis (McBride et al., 2006 2006 ). Tumor cells, for example, require high levels of ATP for survival, proliferation, and metastasis (Weinberg and Chandel, 2009 2009 ). Dysfunctional mitochondria are associated with reduced levels of ATP and excessive production of ROS (Pieczenik and Neustadt, 2007 2007 ). The understanding of ATP and ROS provides significant insight to possible treatments for mitochondrial diseases. Mitochondrial biogenesis is essential to cell division. It cannot be produced spontaneously and must be inherited at cell division (Shiota et al., 2015 2015 ). In eukaryotes, the cell cycle is a sequential series of events with checkpoints at the transition from G1 to S phase (G1/S) and at the transition from G2 to M phase (G2/M) (Löbrich and Jeggo, 2007 2007 ; Bertoli et al., 2013 2013 ). CyclinD and CyclinB are members of the cyclin protein family, and interact with cyclin-dependent kinases (CDKs) to regulate the two checkpoints (Malumbres and Barbacid, 2009 2009 ). Although mitochondrial dysfunction and oxidative stress are heavily involved in various cardiovascular and neurodegenerative diseases, their roles in the cell cycle remain unknown. We hypothesized that mitochondrial OXPHOS capacity is the main driving force of cell cycle progression. Our work focused on the effects of reverting the PGC-1α function (into excessive oxidative stress and bioenergetic deficits) on cell cycle, and our aim was to reveal the signaling pathways mediating mitochondrial biogenesis with an emphasis on the PGC-1α modulator, in order to uncover the new potential pharmacological targets and ameliorate the mitochondrial disease. Materials and methods 1 Cell lines and cell culture 2 Human kidney epithelial 293T cells were supplied by the Biochemistry and Molecular Biology Laboratory of Yunnan University, China. Mouse embryonic fibroblasts C3H/10T1/2 clone 8 (CH1) were purchased from the Shanghai Cell Bank of the Chinese Academy of Sciences, China. Cells were cultured with Dulbecco’s minimum essential medium (DMEM; Hyclone, Logan, USA) supplemented with 10% (v/v) fetal bovine serum (FBS) (Hyclone, Logan, USA) and 1% (v/v) penicillin/streptomycin (Hyclone, Logan, USA) at 37 °C in 5% CO 2 . Isolation of human PGC-1α gene 2 Total RNA was extracted from human epithelial 293T cells using the TRIzol reagent (Life Technologies, Foster City, USA). Complementary DNA (cDNA) was synthesized using the SuperScript First-Strand Kit (TaKaRa, Dalian, China). Primers for reverse transcription-polymerase chain reaction (RT-PCR) were designed by Primer Premier 5.0 software to amplify the complete PGC-1α open reading frame (ORF) specified in the human PGC-1α gene reference sequence at GenBank (accession No. NM_013261.3). Primer sequences were as follows: PGC-1α- Bam HI-F: 5'-GGA TCC ATG GCG TGG GAC ATG TGC AAC-3'; PGC-1α- Sal I-R: 5'-GTC GAC TTA CCT GCG CAA GCT TCT CTG AG-3'. Bam HI and Sal I restriction enzyme sites are underlined, respectively. For PCR, the reaction mixture contained 20 ng/μl cDNA template, MgCl 2 , primers, 10 mmol/L dNTP, 10×reaction buffer, Taq DNA polymerase, and double distilled water (ddH 2 O). The PCR reaction was conducted for 30 cycles, with each cycle consisting of steps at 94 °C for 2 min, 94 °C for 40 s, 66 °C for 30 s, and 72 °C for 150 s. After 30 cycles, samples were subjected to a final step at 72 °C for 10 min. PCR products were separated by agarose gel electrophoresis and the PGC-1α cDNA fragment was purified using a DNA recovery kit (TaKaRa, Dalian, China). Construction of PGC-1α recombinant plasmid 2 To construct pMD18T-PGC-1α, we prepared a reaction mixture containing pMD18T vector, PGC-1α DNA, and T-Vector Solution I. Samples were incubated at 16 °C overnight, and positive clones were sent to Shanghai Sangon Co. for DNA sequencing. After sequence confirmation, pMD18T-PGC-1α and pBABEneo (Addgene, USA) were digested by restriction enzymes Bam HI and Sal I (TaKaRa, Dalian, China) to construct pBABEneo-PGC-1α. The digested products were purified by a DNA recovery kit and ligated. The ligation mixture was transformed into DH5α competent cells (TransGen, Beijing, China). PCR was used to screen for positive clones and the recombinant plasmid of pBABEneo-PGC-1α was sequenced by Shanghai Sangon Co., China. Virus packaging and cellular stable transfection 2 Recombinant pBABEneo-PGC-1α vector, packaging plasmid pCLECO, and X-tremeGENE HP DNA Transfection Reagent (Roche, Basel, Switzerland) were added into 10% FBS DMEM medium, mixed gently, and incubated at room temperature for 20 min. The mixture was added dropwise into 293T cells in a 10-cm plate. After 48 h, the supernatant containing pBABEneo-PGC-1α virus was collected and filtered using a 0.45-μm filter. CH1 cells were then infected with the virus. After 48 h of culture, aminoglycoside antibiotic G418 (Gibco-BRL, Carlsbad, USA) was added into the medium at a final concentration of 600 μg/ml to select CH1 cells with stable expression of PGC-1α. PGC-1α expression was confirmed by Western blotting (Chen et al., 2014 2014 ). RNA interference of PGC-1α 2 Three double strands of small interference RNAs (siRNAs; 1009, 1523, and 853) fragments of PGC-1α were synthesized by GenePharma Co. (Shanghai, China). These siRNAs were designed according to the mRNA (NM_013261.3) loci of 1009 (target: 5'-CAC CAC TCC TCC TCA TAA A-3'), 1523 (target: 5'-GGA CAG TGA TTT CAG TAA T-3'), and 853 (5'-GTC GCA GTC ACA ACA CTT A-3'). These siRNA sequences are as follows: 1009, sense 5'-CAC CAC UCC UCC UCA UAA ATT-3' and antisense 5'-UUU AUG AGG AGG AGU GGU GTT-3'; 1523, sense 5'-GGA CAG UGA UUU CAG UAA UTT-3' and antisense 5'-AUU ACU GAA AUC ACU GUC CTT-3'; 853, sense 5'-GUC GCA GUC ACA ACA CUU ATT-3' and antisense 5'-UAA GUG UUG UGA CUG CGA CTT-3'. CH1 cells with PGC-1α stable expression (CH1 PGC-1α) were seeded and cultured until they reached 60% confluence. A mixture containing the PGC-1α interference fragment and a green fluorescent control for measuring transfection efficiency (FAM fragment) was transfected into CH1 PGC-1α cells using X-tremeGENE HP DNA transfection reagent. Transfection efficiency was measured after 48 h. Method of treatment by oligomycin A or hydrogen peroxide 2 When cells reached 70% confluence, they were incubated with oligomycin A (Sigma, St. Louis, USA), an inhibitor of ATP synthase, or hydrogen peroxide (Sangon, Shanghai, China) for varying lengths of time to find the optimal treatment. Oligomycin A was dissolved in ethanol at a concentration of 1 mg/ml and cells were treated for 6, 12, 24, 36, and 48 h. The time point of 24 h was chosen as the optimal time point for reduction of the cellular ATP level. Cells were treated with 100 or 200 μmol/L of hydrogen peroxide for 5 h, a treatment course in which cellular hydrogen peroxide content was high but cell death was not induced. Effects of the treatment on protein expression and cell growth were determined using Western blotting and flow cytometry. Western blot 2 Cells were collected and washed twice with phosphate buffer solution (PBS), after which they were incubated in an ice-cold RIPA lysis buffer (Beyotime, Jiangsu, China) on ice for 20 min and centrifuged at 10 000 g for 15 min at 4 °C. The supernatant was collected and the protein concentration was quantified with a BCA kit (Dingguo, Beijing, China). Whole cell lysate (50 μg) was loaded onto a 12.5% polyacrylamide gel for sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE), and transferred to a polyvinylidene fluoride (PVDF) membrane with 100 V constant voltage for 2 h. The membrane was then blocked with 5% (0.05 g/ml) milk and incubated with primary antibody (at 1:1000 (v/v) dilution) at 4 °C overnight. After being washed 3 times with PBST (PBS solution contain 0.1% Tween 20), the membrane was incubated with a secondary antibody (at 1:2000 (v/v) dilution) at room temperature for 2 h, and protein was detected with an enhanced chemiluminescence kit (Thermo scientific, Boston, USA). PGC-1α, CyclinD1, and CyclinB1 antibodies were purchased from Cell Signaling Technology Co. (CST, Boston, USA), and an anti-tubulin antibody was obtained from Beyotime Co. (Jiangsu, China) (Chen et al., 2014 2014 ). To quantify relative protein expression, Western blots were analyzed using ImageJ software. Cell cycle analysis by flow cytometry 2 Cells were harvested and washed in cold PBS, then incubated in 50 μg/ml of propidium iodide (PI) solution (containing 0.03% TritonX-100) at room temperature for 20 min. For each sample, at least 2×10 5 cells/ml were analyzed by a BD Accuri C6 flow cytometer (BD Biosciences, San Jose, USA). Cell cycle profiles were calculated by Modfit LT software. Cell viability 2 Cells were seeded into 96-well plates. Cell viability was assessed by 3-(4,5-dimethylthiazol-2-yl)-5-(3-carboxymethoxyphenyl)-2-(4-sulfophenyl)-2H-tetrazolium (MTS) assay every 12 h during a 60-h period. Cell Titer 96 Aqueous One Solution (Promega, Madison, USA) was added to each well and cells were incubated at 37 °C for 2 h. The optical density at 490 nm (OD 490 ) was read using a microplate reader (Bio-Rad, Tokyo, Japan). ROS measurement 2 Cells were collected and resuspended in PBS at 1×10 5 cells/ml. MitoSOX Red dye (5 μmol/L; mitochondrial ROS specific, Invitrogen-Life Technologies, New York, USA) was added to the cells, after which they were incubated at 37 °C for 30 min. Untreated cells served as negative controls. Red fluorescence was detected using a BD Accuri C6 flow cytometer (BD Biosciences, San Jose, USA) (Hahm et al., 2014 2014 ; Xu et al., 2015 2015 ). Comparative assay of ATP 2 Cells were collected and resuspended in PBS at 1×10 6 cells/ml. ATP lysis buffer was added into cells and incubated on ice for 30 min. The cell lysate was centrifuged at 12 000 r/min for 10 min, after which ATP levels in the supernatant were measured using an ATP assay kit (Beyotime, Jiangsu, China). Bioluminescence was measured on a Pi-102 fluorescence luminometer (Hygiena, New York, USA). Cellular ATP content (nmol/L) was calculated using an ATP standard and normalized using a BCA protein assay kit (Xiong et al., 2012 2012 ). Statistical analysis 2 Statistical analysis was performed using the SPSS version 16.0 software. All experiments were repeated at least three times and the evaluation data parameters are reported as mean±standard deviation (SD). Results 1 pBABE-PGC-1α plasmid construction 2 Retroviral vector pBABEneo was used to construct a pBABE-PGC-1α recombinant plasmid containing the PGC-1α -coding sequence. PCR was used to confirm the presence of the PGC-1α -coding sequence, which had an expected PCR product size of 2396 bp (Fig. 1a 1a ). We then sub-cloned PGC-1α cDNA into a pMD18T plasmid containing Bam HI and Sal I restriction sites to construct pMD18T-PGC-1α. Positive clones were sequenced using pMD18T primers and found to have the correct PGC-1α cDNA sequence. Then pMD18T-PGC-1α (Fig. 1b 1b , Lane 1) and pBABEneo were digested with Bam HI and Sal I. Agarose gel electrophoresis showed that the correct product size was obtained after digestion with the two enzymes (Fig. 1b 1b , Lane 2). The digested PGC-1α fragment and pBABEneo were purified using a DNA recovery kit and ligated with T4 ligase. The ligation product of pBABEneo-PGC-1α (about 7700 bp in size; Fig. 1c 1c , Lane 1) was confirmed by sequencing and transformed into DH5α competent cells. Positive bacterial clones were digested and showed the correct product size (Fig. 1c 1c , Lane 2). These results indicated successful construction of the pBABE-PGC-1α recombinant plasmid. (a) Agarose gel analysis of PGC-1α cDNA PCR product. M: 1 kb DNA ladder; Lanes 1 and 2: PGC-1α cDNA. (b) Gel image of pMD18T-PGC-1α digested with Bam HI and Sal I. Lane 1: pMD18T-PGC-1α plasmid; Lane 2: after digestion. (c) Gel image of pBABEneo-PGC-1α digested by Bam HI and Sal I. Lane 1: pBABEneo-PGC-1α plasmid; Lane 2: after digestion Establishment of cell lines overexpressing PGC-1α or with PGC-1α knockdown 2 To make virus particles, 293T cells were co-transfected with pBABEneo-PGC-1α recombinant plasmid and packaging plasmid pCLECO using X-tremeGENE HP DNA transfection reagent. As a control, cells were transfected with the empty vector pBABEneo. Cells were harvested after 48 h and PGC-1α expression was measured using Western blotting. We found that PGC-1α was highly expressed in pBABEneo-PGC-1α co-transfected cells but not in cells transfected with the empty control vector. Supernatant containing pBABEneo-PGC-1α virus or control virus was collected to infect the host CH1 cells. After infection, CH1 cells with stable expression of PGC-1α or control vector were selected in culture media supplemented with the antibiotic G418. As expected, PGC-1α was expressed at higher levels in pBABEneo-PGC-1α stable CH1 cells (PGC-1α), compared with cells containing the pBABEneo empty vector (PB) (Fig. 2a 2a ). To study the function of PGC-1α, we transfected cells overexpressing PGC-1α with siRNA (Si) to knock down PGC-1α. In this process, the efficiency of siRNA had been demonstrated in PGC-1α cells by NC (non-targeting control) and FAM (siRNA has fluorescence) (Fig. 2b 2b ). To study the function of PGC-1α, we tested the efficiency of three siRNAs (1009, 1523, and 853) in PB (Figs. 2c and 2d 2c and 2d ) and PGC-1α (Figs. 2e and 2f 2e and 2f ) cell lines through the PGC-1α expression level. The level of PGC-1α expression showed no significant difference between PB and Si groups. However, there is a significant difference between PGC-1α and Si groups, which could be due to the much lower endogenic PGC-1α expression in PB cells. The effect of 853 was the best among these three siRNAs (Figs. 2e and 2f 2e and 2f ), so we chose 853 for subsequent experiments. These results confirmed the cell lines in which various levels of PGC-1α established, and which in subsequent experiments were used to determine the role of PGC-1α in mitochondrial function and cell proliferation. (a) Expression of PGC-1α protein in PB (pBABEneo empty vector) and PGC-1α (pBABEneo-PGC-1α) cell lines; (b) The efficiency of small interference RNA (siRNA) was detected by flow cytometry (NC as non-targeting control and FAM as efficiency detection with fluorescence); (c) Expression of PGC-1α protein in PB and PB cells that were interfered by three siRNA (1009, 1523, and 853); (d) Semi-quantification of PGC-1α protein expression in (c); (e) Expression of PGC-1α protein in PB, PGC-1α, and PGC-1α cells that were interfered by three siRNA (1009, 1523, and 853); (f) Semi-quantification of PGC-1α protein expression in (e). ** P < 0.01, * P < 0.05. Data are expressed as mean±SD ( n =3) Mitochondrial function and cell proliferation in CH1 PGC-1α cells 2 Cellular ROS and ATP contents can be used as markers of proper mitochondrial function. As PGC-1α is an important regulator of mitochondrial function, we sought to determine whether PGC-1α expression level affects ROS and ATP contents. Using the fluorescent superoxide indicator MitoSOX Red, we found that ROS levels in PGC-1α cells were lower than those in PB and Si cells (Fig. 3a 3a ). In contrast, ATP assay showed that ATP levels in PGC-1α cells were higher than those in PB and Si cells ( P < 0.01; Fig. 3b 3b ). These results showed that PGC-1α reduced ROS and increased ATP levels in a concentration-dependent manner. To determine the role of PGC-1α in cell growth, cell proliferation rates were determined using an MTS kit. PGC-1α cells proliferated significantly faster than PB cells and Si cells during the time course examined (Fig. 3c 3c ). These results suggest that CH1 PGC-1α cells can be used as a model for studying the underlying mechanisms by which PGC-1α regulates cell growth. (a) ROS level indicated by MitoSOX Red fluorescence (analyzed by flow cytometry); (b) Assay of ATP content; (c) Viability curve by MTS kit. ** P < 0.01, * P < 0.05. Data are expressed as mean±SD ( n =3) Comparative analysis of cell cycle profile 2 In order to check whether PGC-1α functions on cell growth and cell proliferation, the cell cycle profiles of PGC-1α, PB, and Si cell lines were measured by flow cytometry. We observed greater S phase accumulation in PGC-1α cells ((53.50±2.35)%) than in PB cells ((48.14±1.32)%) or Si cells ((47.32±1.27)%) (Figs. 4a and 4b 4a and 4b ). There was just a slight difference in G2/M progression between PGC-1α and Si groups. The CyclinD1 and CyclinB1 play important roles in cell cycle regulation through their interactions with CDKs. Specifically, CyclinD1 regulates the transition from G1 to S phase, whereas CyclinB1 regulates the transition from G2 to M phase. We found that both CyclinD1 and CyclinB1 were overexpressed in CH1 PGC-1α cells (Figs. 4c–4e 4c–4e ). These results were also confirmed by immunofluorescence images which are presented in supplementary information (Fig. S1 S1 ). Up-regulation of CyclinD1 could contribute to the S phase accumulation. However, the up-regulated CyclinB1 did not change the proportion of G2/M phase cells. There are two possibilities: the up-regulated CyclinB1 was located in the cytoplasm instead of the nucleus, or it remained dephosphorylated. Both of them block the activity of CyclinB1. More experiments need to be conducted to determine which is the cause. (a) and phase proportions (b) of PB, PGC-1α, and Si cells; (c) The expressions of CyclinD1 and CyclinB1 in PB, PGC-1α, and Si cells were detected by Western blotting; (d) Semi-quantification of CyclinB1 protein expression in (c); (e) Semi-quantification of CyclinD1 protein expression in (c); (f) Semi-quantification of PGC-1α protein expression in (c). ** P < 0.01. Data are expressed as mean±SD ( n =3) Analysis of cell cycle after oligomycin A treatment 2 There are several possible mechanisms by which PGC-1α could promote S phase accumulation. PGC-1α may directly upregulate CyclinD1 and CyclinB1 to increase S phase accumulation and accelerate cell growth. However, another possibility is that the increased ATP or the decreased ROS induced by PGC-1α serve as signals to regulate CyclinD1 and CyclinB1. An increasing body of evidence indicates that ROS and ATP are important players in various cellular regulation pathways. As such, we sought to externally manipulate ATP and ROS levels to determine their influence on CyclinD1 and CyclinB1. To decrease ATP generation, we blocked the mitochondrial respiratory chain by culturing cells in media supplemented with oligomycin A for 24 h. Interestingly, we found that CyclinD1 was down-regulated by oligomycin A treatment in a dose-dependent manner (Figs. 5a and 5b 5a and 5b ), whereas CyclinB1 showed no significant change (Figs. 5a and 5c 5a and 5c ). In addition, PGC-1α expression was maintained at a constant level in each treatment condition (Fig. 5d 5d ). Further analysis of the cell cycle profile showed less S phase accumulation in PGC-1α cells ((56.47±3.26)%) after oligomycin A treatment than in untreated cells ((30.94±1.78)%; Figs. 5e and 5f 5e and 5f ). These results suggest that PGC-1α regulates CyclinD1, but not CyclinB1, through its influence on ATP. (a) Protein expressions of CyclinB1, CyclinD1, and PGC-1α. PGC-1α cells were treated with oligomycin A (0, 5, and 8 μg/ml). PB was used as a control for PGC-1α. Semi-quantification of CyclinD1 (b), CyclinB1 (c), and PGC-1α (d) in (a). (e) Profiles of cell cycles. (f) The percentage of CH1 cells in each phase. ** P < 0.01, * P < 0.05. Data are expressed as mean±SD ( n =3) Analysis of cell cycle after H 2 O 2 treatment 2 We found that ROS levels were low in CH1 PGC-1α cells (Fig. 4a 4a ). To explore whether ROS function as a signal to influence cell cycle progression, we added exogenous H 2 O 2 to increase ROS and detected the expression of CyclinB1 and CyclinD1. Western blotting (Fig. 6a 6a ) showed H 2 O 2 exposure decreased CyclinB1 (Fig. 6b 6b ), but not CyclinD1 (Fig. 6c 6c ). Importantly, we observed that PGC-1α was maintained at a constant level in each treatment condition (Fig. 6d 6d ), suggesting that CyclinB1 was down-regulated by H 2 O 2 , and not by PGC-1α. Finally, cell cycle profiling showed that increased H 2 O 2 inhibited cell growth, as (56.15±2.31)% of untreated PGC-1α cells were in S phase, compared with (31.37±1.33)% of cells treated with 100 μmol/L of H 2 O 2 (Figs. 6e and 6f 6e and 6f ). (a) Probe for CyclinB1, CyclinD1, and PGC-1α. PGC-1α cells were exposed to H 2 O 2 (0, 100, and 200 μmol/L). PB served as a control for PGC-1α. Semi-quantification of CyclinD1 (b), CyclinB1 (c), and PGC-1α (d) in (a). (e) Profile of cell cycle. (f) The percentage of CH1 cells in each phase. ** P < 0.01. Data are expressed as mean±SD ( n =3) Discussion 1 A large body of experimental evidence demonstrates that mitochondrial OXPHOS significantly contributes to ATP supply and ROS production. However, fewer papers reported that association of the mitochondrial respiratory chain complexes form higher supramolecular structures, which are called mitochondrial respiratory supercomplexes. These supercomplexes can take electrons from NADH to reduce oxygen (Acín-Pérez et al., 2008 2008 ; Althoff et al., 2011 2011 ; Vartak et al., 2013 2013 ). Mitochondria exert a pivotal role in mediating cell proliferation and apoptosis (Zhang et al., 2007 2007 ), and mitochondrial dysfunction is a hallmark of many genetic diseases and tumor progression. As mitochondrial biogenesis can be manipulated to compensate for deficits in energy, it has been recently proposed as a potential therapeutic target for treatment of mitochondrial disease (Valero, 2014 2014 ). Recently, several independent groups identified PGC-1α as a key modulator of mitochondrial OXPHOS to increase the level of ATP (Rohas et al., 2007 2007 ; Won et al., 2010 2010 ), and suggested that PGC-1α may be involved in aging and tumorigenesis. Furthermore, both mitochondrial dysfunction and down-regulation of PGC-1α are present in Huntington’s disease, Alzheimer’s disease, and Parkinson’s disease, providing further support for a relationship between mitochondrial function and PGC-1α (Miraglia et al., 2015 2015 ; Rice et al., 2015 2015 ). Although a mitochondrial origin for these diseases has been proposed (Falk et al., 2015 2015 ), regulation of mitochondrial biogenesis in the context of these diseases has not been extensively studied. In this study, we established cell lines in which PGC-1α was overexpressed or knocked down to investigate the signaling pathways by which PGC-1α could influence cell growth. We found that elevated PGC-1α expression increased ATP level, reduced ROS production, and accelerated cell proliferation. The increase of ATP could be due to more mitochondria content (mitochondrial content was detected with the result presented in Fig. S2 S2 ). PGC-1α promotes mitochondrial biogenesis through expression of mitochondrial proteins and activation of p38/MAPK pathway (Acín-Pérez et al., 2008 2008 ; Luckhart et al., 2013 2013 ). These results confirmed that PGC-1α has an important role in prompting ATP production and clearing excessive ROS, and mitochondrial respiratory supercomplexes also enhance ATP and decrease ROS through structure variant, so we suggested that PGC-1α may be a positive regulator of mitochondrial respiratory supercomplex formation, but the mechanism remains unclear. A major focus of our study was to address the influence of PGC-1α in the context of mitochondrial function and cell cycle progression. We hypothesized that PGC-1α regulates cell cycle proteins and triggers cell proliferation indirectly, through its modulation of ATP and ROS levels. To test our hypothesis, we manipulated mitochondrial function to attenuate ATP production and accumulate ROS in order to determine whether they would reduce the oncogenic properties of PGC-1α cells. Importantly, PGC-1α levels remained constant throughout treatment. The electron transport chain (ETC) is responsible for OXPHOS-mediated mitochondrial respiration (Chen et al., 2010 2010 ). Our results demonstrated that oligomycin A, a classic mitochondrial complex-III inhibitor, blocked ATP production and disrupted progression to S phase. We then measured levels of the well-known G1/S transition protein CyclinD1, and the G2/M checkpoint regulatory protein CyclinB1 (Schick et al., 2007 2007 ; Dalton, 2013 2013 ). We found that CyclinD1, but not CyclinB1, was down-regulated, while PGC-1α was maintained at a constant level. This result suggests that ATP can regulate cell cycle progression through CyclinD1, and may do so as a consequence of its up-regulation by PGC-1α. We also detected the expression levels of CyclinB1 and CyclinD1 by using antimycin A-treated PGC-1α cells. The result showed that CyclinB1 and CyclinD1 were down-regulated (Fig. S3 S3 ). We also found a relationship between G2/M phase restriction and CyclinB1 up-regulation in CH1 PGC-1α cells. These cells had lower ROS levels than cells in which PGC-1α was not upregulated. ROS have been identified as important mediators of cell proliferation, cell death, and mitochondrial membrane depolarization (Wood et al., 2003 2003 ; Marinho et al., 2014 2014 ). We attempted to find whether H 2 O 2 enhanced oxidative burst, the transient production of large amounts of ROS, plays a role in controlling cell cycle checkpoints and in inhibition of cell proliferation. 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PGC-1α induces apoptosis in human epithelial ovarian cancer cells through a PPARγ-dependent pathway Compliance with ethics guidelines Xu-feng FU, Kun YAO, Xing DU, Yan LI, Xiu-yu YANG, Min YU, Mei-zhang LI, and Qing-hua CUI declare that they have no conflict of interest. This article does not contain any studies with human or animal subjects performed by any of the authors. 10.1631/jzus.B1500158 Project supported by the National Natural Science Foundation of China (Nos. 31160237 and 81360310) and the Graduate Student Research Innovation Project of Yunnan University (No. YNUY201455), China 2015-06-26 2016-01-13 2015-09-14 2022-01-05 Copyright © Zhejiang University and Springer-Verlag Berlin Heidelberg 2016 2016 Journal of Zhejiang University-SCIENCE B (Biomedicine and Biotechnology) 02 17