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Image Search Results
Journal: Cell Death & Disease
Article Title: Therapeutic metformin/AMPK activation blocked lymphoma cell growth via inhibition of mTOR pathway and induction of autophagy
doi: 10.1038/cddis.2012.13
Figure Lengend Snippet: Dysregulation of AMPK/mTOR pathway in human lymphoma. Expression profile of phosphorylated form of AMPK, mTOR, as well as its downstream effectors p70S6K and 4EBP1 was assessed in human lymphoma tissue using tissue array. The melanoma tissue was served as the positive control of phosphorylated AMPK
Article Snippet: The
Techniques: Expressing, Positive Control
Journal: Cell Death & Disease
Article Title: Therapeutic metformin/AMPK activation blocked lymphoma cell growth via inhibition of mTOR pathway and induction of autophagy
doi: 10.1038/cddis.2012.13
Figure Lengend Snippet: The inhibitory effect of metformin on growth of human lymphoma cell lines. ( a ) IC 50 results obtained from MTT assay in a series of B- and T-lymphoma cell lines after metformin treatment. ( b and c ) Response curves ( b ) and AMPK/ACC expression detected by western blot ( c ) in malignant B and T cells treated with metformin. ( d ) Metformin inhibited growth of primary lymphoma cells. ( e ) The proliferation of CD34+ cells enriched from cord blood samples was not altered by metformin up to 120 mM
Article Snippet: The
Techniques: MTT Assay, Expressing, Western Blot
Journal: Cell Death & Disease
Article Title: Therapeutic metformin/AMPK activation blocked lymphoma cell growth via inhibition of mTOR pathway and induction of autophagy
doi: 10.1038/cddis.2012.13
Figure Lengend Snippet: Metformin-induced mTOR inhibition in an AMPK-dependent manner. ( a ) Metformin decreased the expression of phosphorylated mTOR, as well as its effectors p70S6K and 4EBP1. ( b and c ) Specific AMPK inhibitor compound C ( b ) and AMPK siRNA ( c ) abrogated metformin-induced lymphoma cell growth inhibition and cell cycle arrest. Comparing with the negative control (Con siRNA), Jurkat cells transfected with AMPK- α siRNA (AMPK siRNA) failed to induce phosphorylated ACC and inhibit phosphorylated mTOR. * P <0.001 comparing with the metformin group. + P <0.001 comparing with the Con siRNA group. ( d ) The expression of phosphorylated AKT remained unchanged during metformin treatment in Jurkat cells. ( e ) Cell sensitivity to metformin was not affected in Jurkat cells transfected with AKT
Article Snippet: The
Techniques: Inhibition, Expressing, Negative Control, Transfection
Journal: Cell Death & Disease
Article Title: Therapeutic metformin/AMPK activation blocked lymphoma cell growth via inhibition of mTOR pathway and induction of autophagy
doi: 10.1038/cddis.2012.13
Figure Lengend Snippet: The effect of metformin in murine lymphoma xenograft models. ( a ) In both B- and T-cell lymphoma models, intraperitoneal treatment of metformin, both at the high-dose (IP MET H) and low-dose (IP MET L) group, significantly diminished xenograft tumor size. ( b ) As compared with the control group (Con), decreased proliferative index Ki-67 was identified, while TUNEL staining was negative in the metformin group (MET). Immunohistochemical study showed increased numbers of cells positive for phosphorylated AMPK, but decreased cells positive for phosphorylated mTOR in the metformin-treated tumors
Article Snippet: The
Techniques: Control, TUNEL Assay, Staining, Immunohistochemical staining
Journal: Cell Death & Disease
Article Title: Therapeutic metformin/AMPK activation blocked lymphoma cell growth via inhibition of mTOR pathway and induction of autophagy
doi: 10.1038/cddis.2012.13
Figure Lengend Snippet: Metformin enhanced lymphoma cell sensitivity to the chemotherapeutic agent and stimulate autophagy. ( a ) In Daudi and Jurkat cells, metformin increased the cytotoxicity of the chemotherapeutic agent doxorubicin. ( b ) Metformin combined with doxorubicin induced less lymphoma cell growth inhibition in the AMPK siRNA group than in the Con siRNA group, * P <0.001 comparing with the Con siRNA group. ( c ) Autophagy-related LC3-II expression was significantly elevated in cells co-treated with metformin and doxorubicin. ( d ) Autophagy inhibitor 3-methyladenine abrogated lymphoma cell growth inhibition induced by co-treatment. ( e ) Combined oral metformin with doxorubicin significantly inhibited xenograft lymphoma growth, comparing with the control group or each agent alone. ( f ) The metformin/doxorubicin combination frequently induced lymphoma cell autophagy
Article Snippet: The
Techniques: Inhibition, Expressing, Control
Journal: Cell Death & Disease
Article Title: Therapeutic metformin/AMPK activation blocked lymphoma cell growth via inhibition of mTOR pathway and induction of autophagy
doi: 10.1038/cddis.2012.13
Figure Lengend Snippet: Metformin potentiated the effect of mTOR inhibitor to induce lymphoma cell autophagy. ( a ) In Daudi and Jurkat cells, metformin enhanced the growth-inhibitory effect of the mTOR inhibitor temsirolimus. ( b ) Metformin combined with temsirolimus induced less lymphoma cell growth inhibition in the AMPK siRNA group than in the Con siRNA group, * P <0.001 comparing with the Con siRNA group. ( c ) Co-treatment resulted in LC3-II upregulation. ( d ) Lymphoma cell growth inhibition was overcome by autophagy inhibitor 3-methyladenine. ( e ) Combined oral metformin with temsirolimus significantly inhibited xenograft lymphoma growth, comparing with the control group or each agent alone. ( f ) The metformin/temsirolimus combination frequently induced lymphoma cell autophagy
Article Snippet: The
Techniques: Inhibition, Control
Journal: Cells
Article Title: APN Expression in Serum and Corpus Luteum: Regulation of Luteal Steroidogenesis Is Possibly Dependent on the AdipoR2/AMPK Pathway in Goats
doi: 10.3390/cells12101393
Figure Lengend Snippet: APN activates the AMPK signal in goat luteal steroidogenic cells. ( A ) Luteal tissue was paraffin-embedded and processed for mIHC. P-AMPK (dark red), AMPK (olive) and DAPI staining (blue) for nucleus. NC, negative control; SLC, small luteal cells; LLC, large luteal cells. Scale bar = 20 µm. ( B ) WB for P-AMPK, AMPK and STAR of cyclic CLs. ( C ) WB for P-AMPK in mid-cycle and pregnant CLs. M, mid-cycle; P, pregnancy. ( D ) Cells were treated with 1 μg/mL APN (left) or 25 μM AdipoRon (right) for 0, 0.5, 1 and 2 h to detect P-AMPK by WB. ( E ) Cells were treated with 1 μg/mL APN or 25 μM AdipoRon for 1 h to detect whole and cytoplasmic APPL1 and LKB1 by WB. Days 0, 4, 11 and 17 represent the days in the estrous cycle, with day 0 as the onset of estrus. Data are shown as means ± SEM. A Student’s t -test was used for the comparison of two datasets. A one-way analysis of variance was followed by a Tukey’s multiple comparisons test. Statistical significance is indicated with asterisks *, ** and ***, reflecting p values of <0.05, p < 0.01 and p < 0.001, respectively.
Article Snippet: Cells were treated with APN (Sangon, Shanghai, China) [ ], AdipoRon (MedChemExpress, Monmouth Junction, NJ, USA) [ ] or
Techniques: Staining, Negative Control, Comparison
Journal: Cells
Article Title: APN Expression in Serum and Corpus Luteum: Regulation of Luteal Steroidogenesis Is Possibly Dependent on the AdipoR2/AMPK Pathway in Goats
doi: 10.3390/cells12101393
Figure Lengend Snippet: APN/AdipoRon modulates steroidogenesis through the AMPK signal in goat luteal cells. ( A ) Luteal cells were pretreated with Compound C (10 μM, 1 h) prior to treatment with AdipoRon (25 μM, 1 h), and cell lysates were processed to detect P-AMPK by WB. Luteal cells were pretreated with Compound C (10 μM, 1 h) prior to treatment with AdipoRon (25 μM, 24 h), media were collected to detect the P4 concentration by RIA ( B , upper) and cell lysates were processed to detect STAR, CYP11A1 and HSD3B by WB ( C ). ( D ) Luteal cells were pretreated with SiAMPK for 48 h, then cells were treated with 1 μg/mL APN for 24 h to detect AMPK, STAR, CYP11A1 and HSD3B by WB, and media were collected to detect the P4 concentration by RIA ( B , lower). SiAMPK, SiRNA for AMPK; scrambled non-targeting RNA was transfected into cells as a negative control. Data are expressed as means ± SEM and the statistical difference was analyzed by a one-way ANOVA followed by a Tukey’s multiple comparisons test. * and ** reflect p values of <0.05 and p < 0.01, respectively.
Article Snippet: Cells were treated with APN (Sangon, Shanghai, China) [ ], AdipoRon (MedChemExpress, Monmouth Junction, NJ, USA) [ ] or
Techniques: Concentration Assay, Transfection, Negative Control
Journal: PLoS ONE
Article Title: FOXO3 Is a Glucocorticoid Receptor Target and Regulates LKB1 and Its Own Expression Based on Cellular AMP Levels via a Positive Autoregulatory Loop
doi: 10.1371/journal.pone.0042166
Figure Lengend Snippet: ( A ) MCF-10A cells were either treated with vehicle (Ctrl) and 1 µM dexamethasone (DEX) or in combination with either 1 mM AICAR (left panel) or 50 mM 2-deoxyglucose (right panel) in the presence or absence of 20 µM of the specific AMPK inhibitor “Compound C” for 18 h. Relative mRNA levels of LKB1, FOXO3 and GAPDH as internal control were analysed by semi-quantitative RT-PCR in a 1% agarose gel after ethidium bromide staining. The data shown is representative of three independent experiments. ( B ) Illustration of metabolic regulation of FOXO3’s transcriptional activity and subsequent effects on FOXO3 and LKB1 expression. Activating events are indicated in green colour, inhibiting events in red. High glucocorticoid levels immediately activate FOXO3 and SGK-1. Following stimulation of FOXO3 transcription, the protein is phosphorylated at threonine 32 (Thr 32), leading to its inactivation. Treatment with AMPK activating stimuli (metabolic stress) triggers phosphorylation of FOXO3 by AMPK at position 413 of the serine residue (Ser 413), thereby counteracting inactivation of FOXO3 by SGK-1. This results in a temporally delayed further enhancement of FOXO3 transcription since the FOXO3 protein can bind and activate its own gene promoter via a positive autoregulatory feedback loop in the presence of glucocorticoids. Functional FOXO3 in turn induces the master upstream kinase that further actives AMPK by threonine phosphorylation at position 172 (Thr 172). Restored ATP levels or inhibition of AMPK by compound C interrupts this circuit.
Article Snippet: For drug treatment, MCF-10A cells were transferred to a 1∶1 mixture of DMEM and Ham’s F12 supplemented with 2% of charcoal stripped FBS (Invitrogen, Cat. No.: 12676011) and subjected to 96 h of steroid hormone withdrawal, followed by treatment with either vehicle (0.1% ethanol), 1 µM dexamethasone (Sigma), 1 µM RU-486 (Cayman Chemicals), 1 mM AICAR (Sigma), 50 mM 2-Deoxyglucose (Sigma), 2 µM Oligomycin (Cell Signalling), 20 µM of
Techniques: Quantitative RT-PCR, Agarose Gel Electrophoresis, Staining, Activity Assay, Expressing, Functional Assay, Inhibition
Journal: Journal of Inflammation Research
Article Title: Irisin Ameliorates PM2.5-Induced Acute Lung Injury by Regulation of Autophagy Through AMPK/mTOR Pathway
doi: 10.2147/JIR.S390497
Figure Lengend Snippet: Irisin improved impaired autophagy flux triggered by PM2.5 through AMPK/mTOR pathway. ( A ) Transmission electron microscopy images of MH-S cells with different treatment. Green Arrows represented autophagosome. Red Arrows represented autolysosome. Scale bars=2 µm in top panel (5000× magnification) and 5 µm in bottom panel (1500×magnification). ( B ) Fluorescence images of MH-S cells expressing mCherry-GFP-LC3B. Scale bars = 5 μm (400×magnification). ( C ) p-AMPK, p-mTOR, P62, LC3II protein expression by Western blotting. ( D ) Number of autophagosomes and autolysosomes in TEM. ( E ) Number of yellow and red fluorescence puncta in MH-S cells transfected with Ad-mCherry-GFP-LC3B. ( F ) Qualification of p-AMPK, p-mTOR, P62, LC3II protein expression by Western blotting. Significant differences were presented as p < 0.05. *p < 0.05, control group vs PM2.5 group. **p < 0.05, PM2.5 group vs PM2.5 +Irisin group. ***p < 0.05, PM2.5 +Irisin group vs PM2.5 +Irisin+CC group, # p < 0.05, control group vs CC group.
Article Snippet: Irisin (20 nM) or
Techniques: Transmission Assay, Electron Microscopy, Fluorescence, Expressing, Western Blot, Transfection, Control
Journal: eLife
Article Title: Context-dependent modification of PFKFB3 in hematopoietic stem cells promotes anaerobic glycolysis and ensures stress hematopoiesis
doi: 10.7554/eLife.87674
Figure Lengend Snippet: ( A ) Experimental design used to conduct real-time ATP analysis of HSCs treated with 5-FU or PBS. PLFA medium containing mitochondrial substrates (pyruvate, lactate, fatty acids, and amino acids) but no glucose, was used for experiments with 2-DG; Ba-M containing neither mitochondrial substrates nor glucose was used for experiments with oligomycin, PFKFB3 inhibitor, or AMPK inhibitor. ( B–E ) Results of real-time ATP analysis of PBS- (red) or 5-FU-treated (blue) HSCs after treatment with 2-DG ( B, D ), oligomycin ( C, E ). ( F ) Normalized mRNA counts of PFKFB isozymes based on the RNA sequencing of HSCs. ( G-J ) Results of real-time ATP analysis of PBS- (red) or 5-FU-treated (blue) HSCs after treatment with PFKFB3 inhibitor ( G, I ), or AMPK inhibitor ( H, J ). Bar graphs show corrected ATP concentrations for the last 2 min ( D ) of ( B ), 6–7 min ( E ) of ( C ), or the last 1 min ( I, J ) of ( G, H ) for PFKFB3 and AMPK inhibitors, respectively. Each group represents at least 60 cells. Data are representative results of pooled samples from three biological replicates. (see ‘Time-course analysis of FRET values’ in ‘Materials and methods’ for details of the correction method used to calculate ATP concentration.) Data are presented as mean ± SD. * p≤0.05, ** p≤0.01, *** p≤0.001 as determined by Student’s t -test (D, E, I, and J) or a one-way ANOVA followed by Tukey’s test ( F ). See also – . Figure 4—source data 1. Raw data for .
Article Snippet: In analysis using the
Techniques: RNA Sequencing, Concentration Assay
Journal: eLife
Article Title: Context-dependent modification of PFKFB3 in hematopoietic stem cells promotes anaerobic glycolysis and ensures stress hematopoiesis
doi: 10.7554/eLife.87674
Figure Lengend Snippet: ( A ) Experimental design of real-time ATP analysis using GO-ATeam2 knock-in BMMNCs. Ba-M was used in experiments with oligomycin. For other experiments, PLFA medium was used. ( B–C ) Evaluation of factors affecting ATP concentration in HSCs ( B ) and GMPs ( C ) based on the GO-ATeam2 system. GO-ATeam2 knock-in BMMNCs were incubated with glucose, oligomycin, 2-DG, or glucose plus oligomycin, and the FRET/EGFP ratio was calculated. ( D ) ATP concentration in indicated stem/progenitor fractions in PLFA medium (red bars) alone or PLFA medium plus 2-DG (blue bars). ATP concentration for the last 2 min of the analysis time is shown. Data is summarized from and . Each group represents at least 110 cells. Data are representative results of pooled samples from three biological replicates. ( E ) ATP concentration in indicated stem/progenitor fractions in Ba-M plus glucose (dark blue bars) or Ba-M plus glucose and oligomycin (orange bars). ATP concentration for the last 1 min of the analysis period is shown. Data is summarized from and . Each group represents at least 43 cells. Data are representative results of pooled samples from three biological replicates. ( F–I ) Effects of PFKFB3 or AMPK inhibitors (PFKFB3i or AMPKi, respectively) on ATP concentration in HSCs from GO-ATeam2 mice in Ba-M plus glucose only ( F ) or Ba-M plus glucose and oligomycin ( G ). ATP concentrations for the last 1 min of the analysis period are shown in ( H ) and ( I ) for glucose only and glucose with oligomycin groups, respectively. Each group represents at least 90 cells. Data are representative results of pooled samples from three biological replicates. ( J ) Experimental schema for cell cycle assay and real-time ATP concentration analysis after overexpression of Pfkfb3 . ( K ) Cell cycle status of Pfkfb3 -overexpressing ( Pfkfb3 OE) and mock -transduced HSCs. ( L–M ) Effects of inhibitors on ATP concentration in Pfkfb3 -overexpressing GO-ATeam2 + HSCs. Cells were exposed to vehicle or 2-DG ( L ), oligomycin in the presence or absence of glucose 12.5 mg/dL ( M ), and ATP concentrations for the last 2 min ( L ) or 1 min ( M ) of the analysis period were calculated. Data are representative results of pooled samples from three biological replicates. Data are presented as mean ± SD. * p≤0.05, ** p≤0.01, *** p≤0.001 as determined by Student’s t -test (D, E, and K) or one-way ANOVA followed by Tukey’s test (H, I, L, and M). See also . Figure 5—source data 1. Raw data for .
Article Snippet: In analysis using the
Techniques: Knock-In, Concentration Assay, Incubation, Cell Cycle Assay, Over Expression
Journal: eLife
Article Title: Context-dependent modification of PFKFB3 in hematopoietic stem cells promotes anaerobic glycolysis and ensures stress hematopoiesis
doi: 10.7554/eLife.87674
Figure Lengend Snippet: ( A ) Normalized Pfkfb3 mRNA counts based on RNA sequencing of PBS-treated (red) or 5-FU-treated (blue) HSCs. Data are representative results of pooled samples from three biological replicates. Data were extracted from the same pooled samples as in and . ( B ) Quantification of mean fluorescent intensity (MFI) of PFKFB3 protein in PBS- or 5-FU-treated HSCs. The lower part of the graph shows representative images of immunocytochemistry of PFKFB3 in each group. n=26–27 single HSCs for each group. The data are representative results from two independent experiments. ( C ) Quantification of MFI of phosphorylated-PFKFB3 (p-PFKFB3) protein in PBS- or 5-FU-treated HSCs. The lower part of the graph shows representative images of immunocytochemistry of p-PFKFB3 in each group. n=27 single HSCs for each group. The data are representative results from two independent experiments. ( D ) Quantification of mean fluorescence intensity (MFI) of p-PFKFB3 in HSCs treated with glucose (200 mg/dL); glucose plus oligomycin (1 µM); and glucose, oligomycin, and dorsomorphin (100 µM) for 5 min. The lower part of the graph shows representative images of immunocytochemistry of p-PFKFB3 in each group. n=32–36 for each group. The data are representative results from two independent experiments. ( E ) Normalized Prmt1 mRNA counts based on RNA sequencing of PBS-treated (red) or 5-FU-treated (blue) HSCs. Data are representative results of pooled samples from three biological replicates. ( F ) MFI quantification of methylated-PFKFB3 (m-PFKFB3) in PBS- or 5-FU-treated HSCs. The lower part of the graph shows representative images of immunocytochemistry of m-PFKFB3 in each group. n=23–41 for each group. The data are representative results from three independent experiments. ( G ) Quantification of MFI of m-PFKFB3 in PBS- or 5-FU-treated HSCs or 5-FU-treated HSCs after 15 min treatment with a PRMT1 inhibitor (90 μg/mL GSK3368715); n=25–35 single HSCs for each group. The lower part of the graph shows representative images showing immunocytochemistry of m-PFKFB3. Data represent a single experiment. ( H ) Quantitation of m-PFKFB3 in NBDG-positive or -negative HSCs in mice treated with PBS or 5-FU. The lower part of the graph shows representative images of immunocytochemistry of m-PFKFB3 in each group. n=28–41 for each group. The data are representative results from two independent experiments. ( I ) Corrected ATP levels in PBS- (red) or 5-FU-treated (blue) HSCs 15 min after treatment with vehicle or a PRMT1 inhibitor (90 µg/mL GSK3368715). Each group represents at least 101 cells. Data are representative results of pooled samples of two biological replicates. (see ‘Time-course analysis of FRET values’ in ‘Materials and methods’ for details of the correction method used to calculate ATP concentration.) ( J ) ATP concentration in mock-transduced (Ctl) or Pfkfb3 -overexpressed (OE) HSCs after treatment with the PRMT1 inhibitor (90 µg/mL GSK3368715). ATP concentration for the last 1 min of the analysis period is shown. Data are presented as mean ± SD. * p≤0.05, ** p≤0.01, *** p≤0.001 as determined by Student’s t -test (A-C, E-F, and I-J) or one-way ANOVA followed by Tukey’s test (D, G, and H). See also . Figure 6—source data 1. Raw data for .
Article Snippet: In analysis using the
Techniques: RNA Sequencing, Immunocytochemistry, Fluorescence, Methylation, Quantitation Assay, Concentration Assay
Journal: eLife
Article Title: Context-dependent modification of PFKFB3 in hematopoietic stem cells promotes anaerobic glycolysis and ensures stress hematopoiesis
doi: 10.7554/eLife.87674
Figure Lengend Snippet:
Article Snippet: In analysis using the
Techniques: Transplantation Assay, Generated, Cell Cycle Assay, Recombinant, Plasmid Preparation, Over Expression, Knock-Out, Flow Cytometry, ATP Assay, Sequencing, Software