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Thermo Fisher gene exp ezh2 hs00544830 m1
Gene Exp Ezh2 Hs00544830 M1, supplied by Thermo Fisher, used in various techniques. Bioz Stars score: 88/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Hypoxia increases expression of <t>EZH2,</t> H3K27me3 and survivin. (A) Immunoblots of WCEs from U2OS, HeLa and MRC5 lines cultured under normoxic or hypoxic environments (24 h). Blots were immunoprobed with anti-EZH2, anti-H3K27me3 and anti-survivin antibodies. Anti-Hif1a used to prove the hypoxic state had been induced, and anti-tubulin was used as a loading control. (B–D) Quantification of immunoblots represented in A from three independent experiments demonstrating that EZH2, H3K27me3 and survivin are all more abundant under hypoxia. Data presented are means±s.d. * P <0.05, ** P <0.01, *** P <0.001 (two-way ANOVA with Tukey's multiple comparisons post test).
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Hypoxia increases expression of <t>EZH2,</t> H3K27me3 and survivin. (A) Immunoblots of WCEs from U2OS, HeLa and MRC5 lines cultured under normoxic or hypoxic environments (24 h). Blots were immunoprobed with <t>anti-EZH2,</t> anti-H3K27me3 and anti-survivin antibodies. Anti-Hif1a used to prove the hypoxic state had been induced, and anti-tubulin was used as a loading control. (B–D) Quantification of immunoblots represented in A from three independent experiments demonstrating that EZH2, H3K27me3 and survivin are all more abundant under hypoxia. Data presented are means±s.d. * P <0.05, ** P <0.01, *** P <0.001 (two-way ANOVA with Tukey's multiple comparisons post test).
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Abmart Inc phospho ezh2 thr345
<t>2,3-BPG-CDK1-EZH2-H3K27me3</t> Axis: BPGM’s epigenetic circuit breaker for cellular migration. (A) Integrated functional metabolomics analysis revealed BPGM-altered metabolites clustered in methyl donor group. Bubble size: metabolites count. (B) Hypothesis of molecular mechanism underlying BPGM regulated BBOX1 expression by post transcriptional modification (PTM). (C) Silencing BPGM significantly reduced the protein level of H3K27me3, while overexpressing BPGM increased its level. Cells stably expressing shBPGM/BPGM and its control cells (shCtrl/Ctrl) were used to detect protein level by western blotting. (D) ChIP assays disclosed that the fragments of BBOX1 and MMP9 promoter precipitated by anti-H3K27me3 antibody were increased upon overexpressing BPGM. SK-HEP-1 cells stably expressing BPGM and its control cells (Ctrl) were employed to ChIP assay. The antibody precipitated DNAs were amplified by qPCR. 5 % of the total DNAs were amplified to serve as the control for DNA content. Values shown are signal of α-H3K27me3-precipitated DNA relative to the input and the mean value of the control group was normalized as 1. (E) Overexpressing BPGM significantly increased the protein level of EZH2 but decreased the protein level of p-EZH2-T 345 in tumor cells. (F) The molecular docking of 2,3-BPG and CDK1. Predicted structure of 2,3-BPG binding with CDK1. Key contact residues: Thr14, Arg127, Arg170. (G) Overexpressing BPGM significantly increased the protein level of p-CDK1-T 14 in tumor cells. Cells stably expressing BPGM (BPGM-OE) and its control cells (Ctrl) were used to detect protein level by western blotting. (H) 2,3-BPG treatment enhanced the phosphorylation of CDK1 at thr14 in tumor cells. The indicated concentration of 2,3-BPG was incubated with the lysate of trophoblasts and tumor cells for 30 minutes followed by western blotting. (I-J) RO-3306 treatment enhanced the phosphorylation of CDK1 at thr14 and reduced the phosphorylation of EZH2 at <t>thr345</t> in tumor cells. The tumor cells were treated with the indicated concentration of RO-3306 for 12 hours followed by western blotting. (K) The model deciphers the role of BPGM in regulating BBOX1 and MMP9 expression. Error bar: mean ± SEM. P -values are labeled above the bar chart.
Phospho Ezh2 Thr345, supplied by Abmart Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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BPS Bioscience ezh2 enzyme
<t>2,3-BPG-CDK1-EZH2-H3K27me3</t> Axis: BPGM’s epigenetic circuit breaker for cellular migration. (A) Integrated functional metabolomics analysis revealed BPGM-altered metabolites clustered in methyl donor group. Bubble size: metabolites count. (B) Hypothesis of molecular mechanism underlying BPGM regulated BBOX1 expression by post transcriptional modification (PTM). (C) Silencing BPGM significantly reduced the protein level of H3K27me3, while overexpressing BPGM increased its level. Cells stably expressing shBPGM/BPGM and its control cells (shCtrl/Ctrl) were used to detect protein level by western blotting. (D) ChIP assays disclosed that the fragments of BBOX1 and MMP9 promoter precipitated by anti-H3K27me3 antibody were increased upon overexpressing BPGM. SK-HEP-1 cells stably expressing BPGM and its control cells (Ctrl) were employed to ChIP assay. The antibody precipitated DNAs were amplified by qPCR. 5 % of the total DNAs were amplified to serve as the control for DNA content. Values shown are signal of α-H3K27me3-precipitated DNA relative to the input and the mean value of the control group was normalized as 1. (E) Overexpressing BPGM significantly increased the protein level of EZH2 but decreased the protein level of p-EZH2-T 345 in tumor cells. (F) The molecular docking of 2,3-BPG and CDK1. Predicted structure of 2,3-BPG binding with CDK1. Key contact residues: Thr14, Arg127, Arg170. (G) Overexpressing BPGM significantly increased the protein level of p-CDK1-T 14 in tumor cells. Cells stably expressing BPGM (BPGM-OE) and its control cells (Ctrl) were used to detect protein level by western blotting. (H) 2,3-BPG treatment enhanced the phosphorylation of CDK1 at thr14 in tumor cells. The indicated concentration of 2,3-BPG was incubated with the lysate of trophoblasts and tumor cells for 30 minutes followed by western blotting. (I-J) RO-3306 treatment enhanced the phosphorylation of CDK1 at thr14 and reduced the phosphorylation of EZH2 at <t>thr345</t> in tumor cells. The tumor cells were treated with the indicated concentration of RO-3306 for 12 hours followed by western blotting. (K) The model deciphers the role of BPGM in regulating BBOX1 and MMP9 expression. Error bar: mean ± SEM. P -values are labeled above the bar chart.
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<t>2,3-BPG-CDK1-EZH2-H3K27me3</t> Axis: BPGM’s epigenetic circuit breaker for cellular migration. (A) Integrated functional metabolomics analysis revealed BPGM-altered metabolites clustered in methyl donor group. Bubble size: metabolites count. (B) Hypothesis of molecular mechanism underlying BPGM regulated BBOX1 expression by post transcriptional modification (PTM). (C) Silencing BPGM significantly reduced the protein level of H3K27me3, while overexpressing BPGM increased its level. Cells stably expressing shBPGM/BPGM and its control cells (shCtrl/Ctrl) were used to detect protein level by western blotting. (D) ChIP assays disclosed that the fragments of BBOX1 and MMP9 promoter precipitated by anti-H3K27me3 antibody were increased upon overexpressing BPGM. SK-HEP-1 cells stably expressing BPGM and its control cells (Ctrl) were employed to ChIP assay. The antibody precipitated DNAs were amplified by qPCR. 5 % of the total DNAs were amplified to serve as the control for DNA content. Values shown are signal of α-H3K27me3-precipitated DNA relative to the input and the mean value of the control group was normalized as 1. (E) Overexpressing BPGM significantly increased the protein level of EZH2 but decreased the protein level of p-EZH2-T 345 in tumor cells. (F) The molecular docking of 2,3-BPG and CDK1. Predicted structure of 2,3-BPG binding with CDK1. Key contact residues: Thr14, Arg127, Arg170. (G) Overexpressing BPGM significantly increased the protein level of p-CDK1-T 14 in tumor cells. Cells stably expressing BPGM (BPGM-OE) and its control cells (Ctrl) were used to detect protein level by western blotting. (H) 2,3-BPG treatment enhanced the phosphorylation of CDK1 at thr14 in tumor cells. The indicated concentration of 2,3-BPG was incubated with the lysate of trophoblasts and tumor cells for 30 minutes followed by western blotting. (I-J) RO-3306 treatment enhanced the phosphorylation of CDK1 at thr14 and reduced the phosphorylation of EZH2 at <t>thr345</t> in tumor cells. The tumor cells were treated with the indicated concentration of RO-3306 for 12 hours followed by western blotting. (K) The model deciphers the role of BPGM in regulating BBOX1 and MMP9 expression. Error bar: mean ± SEM. P -values are labeled above the bar chart.
Rabbit Anti Ezh2, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Proteintech rabbit polyclonal anti ezh2
<t>2,3-BPG-CDK1-EZH2-H3K27me3</t> Axis: BPGM’s epigenetic circuit breaker for cellular migration. (A) Integrated functional metabolomics analysis revealed BPGM-altered metabolites clustered in methyl donor group. Bubble size: metabolites count. (B) Hypothesis of molecular mechanism underlying BPGM regulated BBOX1 expression by post transcriptional modification (PTM). (C) Silencing BPGM significantly reduced the protein level of H3K27me3, while overexpressing BPGM increased its level. Cells stably expressing shBPGM/BPGM and its control cells (shCtrl/Ctrl) were used to detect protein level by western blotting. (D) ChIP assays disclosed that the fragments of BBOX1 and MMP9 promoter precipitated by anti-H3K27me3 antibody were increased upon overexpressing BPGM. SK-HEP-1 cells stably expressing BPGM and its control cells (Ctrl) were employed to ChIP assay. The antibody precipitated DNAs were amplified by qPCR. 5 % of the total DNAs were amplified to serve as the control for DNA content. Values shown are signal of α-H3K27me3-precipitated DNA relative to the input and the mean value of the control group was normalized as 1. (E) Overexpressing BPGM significantly increased the protein level of EZH2 but decreased the protein level of p-EZH2-T 345 in tumor cells. (F) The molecular docking of 2,3-BPG and CDK1. Predicted structure of 2,3-BPG binding with CDK1. Key contact residues: Thr14, Arg127, Arg170. (G) Overexpressing BPGM significantly increased the protein level of p-CDK1-T 14 in tumor cells. Cells stably expressing BPGM (BPGM-OE) and its control cells (Ctrl) were used to detect protein level by western blotting. (H) 2,3-BPG treatment enhanced the phosphorylation of CDK1 at thr14 in tumor cells. The indicated concentration of 2,3-BPG was incubated with the lysate of trophoblasts and tumor cells for 30 minutes followed by western blotting. (I-J) RO-3306 treatment enhanced the phosphorylation of CDK1 at thr14 and reduced the phosphorylation of EZH2 at <t>thr345</t> in tumor cells. The tumor cells were treated with the indicated concentration of RO-3306 for 12 hours followed by western blotting. (K) The model deciphers the role of BPGM in regulating BBOX1 and MMP9 expression. Error bar: mean ± SEM. P -values are labeled above the bar chart.
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Selleck Chemicals ezh2 inhibitor
<t>2,3-BPG-CDK1-EZH2-H3K27me3</t> Axis: BPGM’s epigenetic circuit breaker for cellular migration. (A) Integrated functional metabolomics analysis revealed BPGM-altered metabolites clustered in methyl donor group. Bubble size: metabolites count. (B) Hypothesis of molecular mechanism underlying BPGM regulated BBOX1 expression by post transcriptional modification (PTM). (C) Silencing BPGM significantly reduced the protein level of H3K27me3, while overexpressing BPGM increased its level. Cells stably expressing shBPGM/BPGM and its control cells (shCtrl/Ctrl) were used to detect protein level by western blotting. (D) ChIP assays disclosed that the fragments of BBOX1 and MMP9 promoter precipitated by anti-H3K27me3 antibody were increased upon overexpressing BPGM. SK-HEP-1 cells stably expressing BPGM and its control cells (Ctrl) were employed to ChIP assay. The antibody precipitated DNAs were amplified by qPCR. 5 % of the total DNAs were amplified to serve as the control for DNA content. Values shown are signal of α-H3K27me3-precipitated DNA relative to the input and the mean value of the control group was normalized as 1. (E) Overexpressing BPGM significantly increased the protein level of EZH2 but decreased the protein level of p-EZH2-T 345 in tumor cells. (F) The molecular docking of 2,3-BPG and CDK1. Predicted structure of 2,3-BPG binding with CDK1. Key contact residues: Thr14, Arg127, Arg170. (G) Overexpressing BPGM significantly increased the protein level of p-CDK1-T 14 in tumor cells. Cells stably expressing BPGM (BPGM-OE) and its control cells (Ctrl) were used to detect protein level by western blotting. (H) 2,3-BPG treatment enhanced the phosphorylation of CDK1 at thr14 in tumor cells. The indicated concentration of 2,3-BPG was incubated with the lysate of trophoblasts and tumor cells for 30 minutes followed by western blotting. (I-J) RO-3306 treatment enhanced the phosphorylation of CDK1 at thr14 and reduced the phosphorylation of EZH2 at <t>thr345</t> in tumor cells. The tumor cells were treated with the indicated concentration of RO-3306 for 12 hours followed by western blotting. (K) The model deciphers the role of BPGM in regulating BBOX1 and MMP9 expression. Error bar: mean ± SEM. P -values are labeled above the bar chart.
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Wanleibio ezh2
Regulation of <t>EZH2</t> and MAPK pathways by the FOXN3-E2F5 axis in AML. ( A ) Volcano plots illustrating differentially expressed genes in THP1 cells with FOXN3 overexpression compared to control THP1 cells. ( B ) The top twenty significant KEGG pathways related to differentially expressed genes in THP1 cells with FOXN3 overexpression compared to control THP1 cells. The red box highlights the signal pathway that are in agreement with the functional results. ( C ) Western blot analysis showing the protein levels of EZH2, ERK1/2, and phosphorylated ERK1/2 (p-ERK1/2) in cells co-transfected with lentiviruses for FOXN3 and E2F5 overexpression. The experiments were conducted using three independent replicates and the data are presented as mean ± SD. Statistical significance is indicated as follows: * P < 0.05, and ** P < 0.01.
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Image Search Results


Hypoxia increases expression of EZH2, H3K27me3 and survivin. (A) Immunoblots of WCEs from U2OS, HeLa and MRC5 lines cultured under normoxic or hypoxic environments (24 h). Blots were immunoprobed with anti-EZH2, anti-H3K27me3 and anti-survivin antibodies. Anti-Hif1a used to prove the hypoxic state had been induced, and anti-tubulin was used as a loading control. (B–D) Quantification of immunoblots represented in A from three independent experiments demonstrating that EZH2, H3K27me3 and survivin are all more abundant under hypoxia. Data presented are means±s.d. * P <0.05, ** P <0.01, *** P <0.001 (two-way ANOVA with Tukey's multiple comparisons post test).

Journal: Journal of Cell Science

Article Title: Interplay between nuclear survivin and the PRC2 complex and its impact on H3K27me3-directed transcriptional repression

doi: 10.1242/jcs.264572

Figure Lengend Snippet: Hypoxia increases expression of EZH2, H3K27me3 and survivin. (A) Immunoblots of WCEs from U2OS, HeLa and MRC5 lines cultured under normoxic or hypoxic environments (24 h). Blots were immunoprobed with anti-EZH2, anti-H3K27me3 and anti-survivin antibodies. Anti-Hif1a used to prove the hypoxic state had been induced, and anti-tubulin was used as a loading control. (B–D) Quantification of immunoblots represented in A from three independent experiments demonstrating that EZH2, H3K27me3 and survivin are all more abundant under hypoxia. Data presented are means±s.d. * P <0.05, ** P <0.01, *** P <0.001 (two-way ANOVA with Tukey's multiple comparisons post test).

Article Snippet: Primary antibodies were diluted 1:1000 in TBST with 5% milk, unless otherwise stated, and were against: tubulin (Sigma, B512, T5168), β-actin (Invitrogen MA1-140), TBP (CST, 8515), survivin (C60, CST 71G4B7, TBST 2% milk; or 6E4), H3K27me3 (Abcam, ab192985; TBST-2% BSA), GST (Cytivia, RPN1236V), EZH2 (CST, D269 or Proteintech 21800-1-AP), Hif1α (Novus Biologics, NB100-449).

Techniques: Expressing, Western Blot, Cell Culture, Control

Survivin and EZH2 interact. (A) Immunoprecipitation was carried out using whole MRC5 extracts using anti-survivin (C60), anti-EZH2, mouse IgG antibodies (negative control). Co-immunoprecipitation was assessed with the alternative antibodies. Co-immunoprecipitation of EZH2 with survivin was evident when anti-EZH2 was used to immunoprecipitate but not when the anti-survivin (C60) antibody was used. (B) GST pulldown assay was carried out with WCEs prepared from RPE cells expressing GST (negative control), GST–survivin and various GST-tagged survivin truncations, (numbering indicating amino acids), used as bait. (C) Quantification of interactions represented in B. EZH2 binds mainly to the first 90 amino acids of survivin. Data are mean±s.d. from three independent experiments. *** P <0.001; **** P <0.0001; ns, not significant (one-way ANOVA with Dunnett's post hoc test). (D) Immunoprecipitation was carried out as in A but using anti-H3K27me3 specific antibodies, rather than anti-EZH2. Co-immunoprecipitation of survivin and H3K27me3 was evident in reciprocal samples. (E) The GST pulldown experiment as in B was repeated using RPE cell lysates with GST or GST–survivin, and interaction with H3K27me3 determined by immunoblotting. (F) Quantification of data represented in E, normalised to the GST or GST–survivin. Data are mean±s.d., n =3. *** P <0.001 (unpaired two-tailed Student's t -test). Blots in A and D are representative of three repeats. Inputs are 7.5%.

Journal: Journal of Cell Science

Article Title: Interplay between nuclear survivin and the PRC2 complex and its impact on H3K27me3-directed transcriptional repression

doi: 10.1242/jcs.264572

Figure Lengend Snippet: Survivin and EZH2 interact. (A) Immunoprecipitation was carried out using whole MRC5 extracts using anti-survivin (C60), anti-EZH2, mouse IgG antibodies (negative control). Co-immunoprecipitation was assessed with the alternative antibodies. Co-immunoprecipitation of EZH2 with survivin was evident when anti-EZH2 was used to immunoprecipitate but not when the anti-survivin (C60) antibody was used. (B) GST pulldown assay was carried out with WCEs prepared from RPE cells expressing GST (negative control), GST–survivin and various GST-tagged survivin truncations, (numbering indicating amino acids), used as bait. (C) Quantification of interactions represented in B. EZH2 binds mainly to the first 90 amino acids of survivin. Data are mean±s.d. from three independent experiments. *** P <0.001; **** P <0.0001; ns, not significant (one-way ANOVA with Dunnett's post hoc test). (D) Immunoprecipitation was carried out as in A but using anti-H3K27me3 specific antibodies, rather than anti-EZH2. Co-immunoprecipitation of survivin and H3K27me3 was evident in reciprocal samples. (E) The GST pulldown experiment as in B was repeated using RPE cell lysates with GST or GST–survivin, and interaction with H3K27me3 determined by immunoblotting. (F) Quantification of data represented in E, normalised to the GST or GST–survivin. Data are mean±s.d., n =3. *** P <0.001 (unpaired two-tailed Student's t -test). Blots in A and D are representative of three repeats. Inputs are 7.5%.

Article Snippet: Primary antibodies were diluted 1:1000 in TBST with 5% milk, unless otherwise stated, and were against: tubulin (Sigma, B512, T5168), β-actin (Invitrogen MA1-140), TBP (CST, 8515), survivin (C60, CST 71G4B7, TBST 2% milk; or 6E4), H3K27me3 (Abcam, ab192985; TBST-2% BSA), GST (Cytivia, RPN1236V), EZH2 (CST, D269 or Proteintech 21800-1-AP), Hif1α (Novus Biologics, NB100-449).

Techniques: Immunoprecipitation, Negative Control, GST Pulldown Assay, Expressing, Western Blot, Two Tailed Test

Survivin knockdown increases H3K27me3 abundance. (A) U2OS and MRC5 cells were incubated with control or survivin-specific siRNA for 48 h. Lysates were immunoblotted with antibodies against the indicated proteins. (B,C) Quantitative analysis of immunoblots, normalised to β-actin loading for (B) U2OS, and (C) MRC5 cells. No change was seen in EZH2 expression but H3K27me3 was increased in both lines. Data are means±s.d. from three independent experiments. * P <0.05; ** P <0.01; *** P <0.001, ns, not significant (two-way ANOVA with Tukey's multiple comparisons post test).

Journal: Journal of Cell Science

Article Title: Interplay between nuclear survivin and the PRC2 complex and its impact on H3K27me3-directed transcriptional repression

doi: 10.1242/jcs.264572

Figure Lengend Snippet: Survivin knockdown increases H3K27me3 abundance. (A) U2OS and MRC5 cells were incubated with control or survivin-specific siRNA for 48 h. Lysates were immunoblotted with antibodies against the indicated proteins. (B,C) Quantitative analysis of immunoblots, normalised to β-actin loading for (B) U2OS, and (C) MRC5 cells. No change was seen in EZH2 expression but H3K27me3 was increased in both lines. Data are means±s.d. from three independent experiments. * P <0.05; ** P <0.01; *** P <0.001, ns, not significant (two-way ANOVA with Tukey's multiple comparisons post test).

Article Snippet: Primary antibodies were diluted 1:1000 in TBST with 5% milk, unless otherwise stated, and were against: tubulin (Sigma, B512, T5168), β-actin (Invitrogen MA1-140), TBP (CST, 8515), survivin (C60, CST 71G4B7, TBST 2% milk; or 6E4), H3K27me3 (Abcam, ab192985; TBST-2% BSA), GST (Cytivia, RPN1236V), EZH2 (CST, D269 or Proteintech 21800-1-AP), Hif1α (Novus Biologics, NB100-449).

Techniques: Knockdown, Incubation, Control, Western Blot, Expressing

Survivin and EZH2 in ihPSCs. (A) Three pluripotent stem cell lines, CGT-RCIB 10, ReBL Pat and iAT1 were grown in normoxia and immunostained for EZH2 (red), endogenous survivin (green), and counterstained with NucBlue to show the nucleus (blue). Scale bars: 50 µm. (B) There is colocalisation of EZH2 and survivin in the nuclei as shown by the intensity profiles along the yellow line in A (FIJI software). Results representative of N =3 independent repeats. (C) CGT-RCIB 10 cells were incubated with control or survivin-specific siRNA for 24 h. Lysates were immunoblotted with antibodies against the indicated proteins. (D) Quantitative analysis of bands in immunoblots in C, normalised to the β-actin loading control. Although survivin was only partially knocked down, H3K27me3 abundance increased significantly. Data are normalized to control siRNA treatment and are means±s.d. from n =3 plotted. * P <0.05; ** P <0.01; ns, not significant (two-way ANOVA with Tukey's multiple comparisons post test). (E) qPCR analysis was carried out for the genes indicated from CGT-RCIB 10 cells treated with either control or survivin-specific siRNA (24 h). Data are normalized to control siRNA treatment and means±s.d. from N =3 plotted. * P <0.05; ** P <0.01; *** P <0.001; ns, not significant (two-way ANOVA with Tukey's multiple comparisons post test). (F) qPCR analysis of major satellite transcripts from CGT-RCIB 10 cells exposed to control or survivin-specific siRNA. A significant reduction in major satellite expression occurred in the absence of survivin. Data are normalized to control siRNA treatment and means±s.d. from n =3 plotted. ** P <0.01 (unpaired two-tailed Student's t -test).

Journal: Journal of Cell Science

Article Title: Interplay between nuclear survivin and the PRC2 complex and its impact on H3K27me3-directed transcriptional repression

doi: 10.1242/jcs.264572

Figure Lengend Snippet: Survivin and EZH2 in ihPSCs. (A) Three pluripotent stem cell lines, CGT-RCIB 10, ReBL Pat and iAT1 were grown in normoxia and immunostained for EZH2 (red), endogenous survivin (green), and counterstained with NucBlue to show the nucleus (blue). Scale bars: 50 µm. (B) There is colocalisation of EZH2 and survivin in the nuclei as shown by the intensity profiles along the yellow line in A (FIJI software). Results representative of N =3 independent repeats. (C) CGT-RCIB 10 cells were incubated with control or survivin-specific siRNA for 24 h. Lysates were immunoblotted with antibodies against the indicated proteins. (D) Quantitative analysis of bands in immunoblots in C, normalised to the β-actin loading control. Although survivin was only partially knocked down, H3K27me3 abundance increased significantly. Data are normalized to control siRNA treatment and are means±s.d. from n =3 plotted. * P <0.05; ** P <0.01; ns, not significant (two-way ANOVA with Tukey's multiple comparisons post test). (E) qPCR analysis was carried out for the genes indicated from CGT-RCIB 10 cells treated with either control or survivin-specific siRNA (24 h). Data are normalized to control siRNA treatment and means±s.d. from N =3 plotted. * P <0.05; ** P <0.01; *** P <0.001; ns, not significant (two-way ANOVA with Tukey's multiple comparisons post test). (F) qPCR analysis of major satellite transcripts from CGT-RCIB 10 cells exposed to control or survivin-specific siRNA. A significant reduction in major satellite expression occurred in the absence of survivin. Data are normalized to control siRNA treatment and means±s.d. from n =3 plotted. ** P <0.01 (unpaired two-tailed Student's t -test).

Article Snippet: Primary antibodies were diluted 1:1000 in TBST with 5% milk, unless otherwise stated, and were against: tubulin (Sigma, B512, T5168), β-actin (Invitrogen MA1-140), TBP (CST, 8515), survivin (C60, CST 71G4B7, TBST 2% milk; or 6E4), H3K27me3 (Abcam, ab192985; TBST-2% BSA), GST (Cytivia, RPN1236V), EZH2 (CST, D269 or Proteintech 21800-1-AP), Hif1α (Novus Biologics, NB100-449).

Techniques: Software, Incubation, Control, Western Blot, Expressing, Two Tailed Test

Hypoxia increases expression of EZH2, H3K27me3 and survivin. (A) Immunoblots of WCEs from U2OS, HeLa and MRC5 lines cultured under normoxic or hypoxic environments (24 h). Blots were immunoprobed with anti-EZH2, anti-H3K27me3 and anti-survivin antibodies. Anti-Hif1a used to prove the hypoxic state had been induced, and anti-tubulin was used as a loading control. (B–D) Quantification of immunoblots represented in A from three independent experiments demonstrating that EZH2, H3K27me3 and survivin are all more abundant under hypoxia. Data presented are means±s.d. * P <0.05, ** P <0.01, *** P <0.001 (two-way ANOVA with Tukey's multiple comparisons post test).

Journal: Journal of Cell Science

Article Title: Interplay between nuclear survivin and the PRC2 complex and its impact on H3K27me3-directed transcriptional repression

doi: 10.1242/jcs.264572

Figure Lengend Snippet: Hypoxia increases expression of EZH2, H3K27me3 and survivin. (A) Immunoblots of WCEs from U2OS, HeLa and MRC5 lines cultured under normoxic or hypoxic environments (24 h). Blots were immunoprobed with anti-EZH2, anti-H3K27me3 and anti-survivin antibodies. Anti-Hif1a used to prove the hypoxic state had been induced, and anti-tubulin was used as a loading control. (B–D) Quantification of immunoblots represented in A from three independent experiments demonstrating that EZH2, H3K27me3 and survivin are all more abundant under hypoxia. Data presented are means±s.d. * P <0.05, ** P <0.01, *** P <0.001 (two-way ANOVA with Tukey's multiple comparisons post test).

Article Snippet: The following primary antibodies were used at 1:200: anti-survivin (Cell Signaling Technologies 71G4B7 or 6E4), anti-H3K27Me3 (Abcam, Ab192985 ), anti-EZH2 [Cell Signalling Technologies (CST), D269].

Techniques: Expressing, Western Blot, Cell Culture, Control

Survivin and EZH2 interact. (A) Immunoprecipitation was carried out using whole MRC5 extracts using anti-survivin (C60), anti-EZH2, mouse IgG antibodies (negative control). Co-immunoprecipitation was assessed with the alternative antibodies. Co-immunoprecipitation of EZH2 with survivin was evident when anti-EZH2 was used to immunoprecipitate but not when the anti-survivin (C60) antibody was used. (B) GST pulldown assay was carried out with WCEs prepared from RPE cells expressing GST (negative control), GST–survivin and various GST-tagged survivin truncations, (numbering indicating amino acids), used as bait. (C) Quantification of interactions represented in B. EZH2 binds mainly to the first 90 amino acids of survivin. Data are mean±s.d. from three independent experiments. *** P <0.001; **** P <0.0001; ns, not significant (one-way ANOVA with Dunnett's post hoc test). (D) Immunoprecipitation was carried out as in A but using anti-H3K27me3 specific antibodies, rather than anti-EZH2. Co-immunoprecipitation of survivin and H3K27me3 was evident in reciprocal samples. (E) The GST pulldown experiment as in B was repeated using RPE cell lysates with GST or GST–survivin, and interaction with H3K27me3 determined by immunoblotting. (F) Quantification of data represented in E, normalised to the GST or GST–survivin. Data are mean±s.d., n =3. *** P <0.001 (unpaired two-tailed Student's t -test). Blots in A and D are representative of three repeats. Inputs are 7.5%.

Journal: Journal of Cell Science

Article Title: Interplay between nuclear survivin and the PRC2 complex and its impact on H3K27me3-directed transcriptional repression

doi: 10.1242/jcs.264572

Figure Lengend Snippet: Survivin and EZH2 interact. (A) Immunoprecipitation was carried out using whole MRC5 extracts using anti-survivin (C60), anti-EZH2, mouse IgG antibodies (negative control). Co-immunoprecipitation was assessed with the alternative antibodies. Co-immunoprecipitation of EZH2 with survivin was evident when anti-EZH2 was used to immunoprecipitate but not when the anti-survivin (C60) antibody was used. (B) GST pulldown assay was carried out with WCEs prepared from RPE cells expressing GST (negative control), GST–survivin and various GST-tagged survivin truncations, (numbering indicating amino acids), used as bait. (C) Quantification of interactions represented in B. EZH2 binds mainly to the first 90 amino acids of survivin. Data are mean±s.d. from three independent experiments. *** P <0.001; **** P <0.0001; ns, not significant (one-way ANOVA with Dunnett's post hoc test). (D) Immunoprecipitation was carried out as in A but using anti-H3K27me3 specific antibodies, rather than anti-EZH2. Co-immunoprecipitation of survivin and H3K27me3 was evident in reciprocal samples. (E) The GST pulldown experiment as in B was repeated using RPE cell lysates with GST or GST–survivin, and interaction with H3K27me3 determined by immunoblotting. (F) Quantification of data represented in E, normalised to the GST or GST–survivin. Data are mean±s.d., n =3. *** P <0.001 (unpaired two-tailed Student's t -test). Blots in A and D are representative of three repeats. Inputs are 7.5%.

Article Snippet: The following primary antibodies were used at 1:200: anti-survivin (Cell Signaling Technologies 71G4B7 or 6E4), anti-H3K27Me3 (Abcam, Ab192985 ), anti-EZH2 [Cell Signalling Technologies (CST), D269].

Techniques: Immunoprecipitation, Negative Control, GST Pulldown Assay, Expressing, Western Blot, Two Tailed Test

2,3-BPG-CDK1-EZH2-H3K27me3 Axis: BPGM’s epigenetic circuit breaker for cellular migration. (A) Integrated functional metabolomics analysis revealed BPGM-altered metabolites clustered in methyl donor group. Bubble size: metabolites count. (B) Hypothesis of molecular mechanism underlying BPGM regulated BBOX1 expression by post transcriptional modification (PTM). (C) Silencing BPGM significantly reduced the protein level of H3K27me3, while overexpressing BPGM increased its level. Cells stably expressing shBPGM/BPGM and its control cells (shCtrl/Ctrl) were used to detect protein level by western blotting. (D) ChIP assays disclosed that the fragments of BBOX1 and MMP9 promoter precipitated by anti-H3K27me3 antibody were increased upon overexpressing BPGM. SK-HEP-1 cells stably expressing BPGM and its control cells (Ctrl) were employed to ChIP assay. The antibody precipitated DNAs were amplified by qPCR. 5 % of the total DNAs were amplified to serve as the control for DNA content. Values shown are signal of α-H3K27me3-precipitated DNA relative to the input and the mean value of the control group was normalized as 1. (E) Overexpressing BPGM significantly increased the protein level of EZH2 but decreased the protein level of p-EZH2-T 345 in tumor cells. (F) The molecular docking of 2,3-BPG and CDK1. Predicted structure of 2,3-BPG binding with CDK1. Key contact residues: Thr14, Arg127, Arg170. (G) Overexpressing BPGM significantly increased the protein level of p-CDK1-T 14 in tumor cells. Cells stably expressing BPGM (BPGM-OE) and its control cells (Ctrl) were used to detect protein level by western blotting. (H) 2,3-BPG treatment enhanced the phosphorylation of CDK1 at thr14 in tumor cells. The indicated concentration of 2,3-BPG was incubated with the lysate of trophoblasts and tumor cells for 30 minutes followed by western blotting. (I-J) RO-3306 treatment enhanced the phosphorylation of CDK1 at thr14 and reduced the phosphorylation of EZH2 at thr345 in tumor cells. The tumor cells were treated with the indicated concentration of RO-3306 for 12 hours followed by western blotting. (K) The model deciphers the role of BPGM in regulating BBOX1 and MMP9 expression. Error bar: mean ± SEM. P -values are labeled above the bar chart.

Journal: Neoplasia (New York, N.Y.)

Article Title: BPGM as an intrinsic brake to constrain metastasis through phospho-epigenetic-mediated carnitine biosynthesis suppression

doi: 10.1016/j.neo.2026.101299

Figure Lengend Snippet: 2,3-BPG-CDK1-EZH2-H3K27me3 Axis: BPGM’s epigenetic circuit breaker for cellular migration. (A) Integrated functional metabolomics analysis revealed BPGM-altered metabolites clustered in methyl donor group. Bubble size: metabolites count. (B) Hypothesis of molecular mechanism underlying BPGM regulated BBOX1 expression by post transcriptional modification (PTM). (C) Silencing BPGM significantly reduced the protein level of H3K27me3, while overexpressing BPGM increased its level. Cells stably expressing shBPGM/BPGM and its control cells (shCtrl/Ctrl) were used to detect protein level by western blotting. (D) ChIP assays disclosed that the fragments of BBOX1 and MMP9 promoter precipitated by anti-H3K27me3 antibody were increased upon overexpressing BPGM. SK-HEP-1 cells stably expressing BPGM and its control cells (Ctrl) were employed to ChIP assay. The antibody precipitated DNAs were amplified by qPCR. 5 % of the total DNAs were amplified to serve as the control for DNA content. Values shown are signal of α-H3K27me3-precipitated DNA relative to the input and the mean value of the control group was normalized as 1. (E) Overexpressing BPGM significantly increased the protein level of EZH2 but decreased the protein level of p-EZH2-T 345 in tumor cells. (F) The molecular docking of 2,3-BPG and CDK1. Predicted structure of 2,3-BPG binding with CDK1. Key contact residues: Thr14, Arg127, Arg170. (G) Overexpressing BPGM significantly increased the protein level of p-CDK1-T 14 in tumor cells. Cells stably expressing BPGM (BPGM-OE) and its control cells (Ctrl) were used to detect protein level by western blotting. (H) 2,3-BPG treatment enhanced the phosphorylation of CDK1 at thr14 in tumor cells. The indicated concentration of 2,3-BPG was incubated with the lysate of trophoblasts and tumor cells for 30 minutes followed by western blotting. (I-J) RO-3306 treatment enhanced the phosphorylation of CDK1 at thr14 and reduced the phosphorylation of EZH2 at thr345 in tumor cells. The tumor cells were treated with the indicated concentration of RO-3306 for 12 hours followed by western blotting. (K) The model deciphers the role of BPGM in regulating BBOX1 and MMP9 expression. Error bar: mean ± SEM. P -values are labeled above the bar chart.

Article Snippet: The antibodies used included mouse antibody against β-actin (BM0627, Boster, Wuhan, China), rabbit antibody against BPGM (17173-1-AP, Proteintech), EZH2 (F0281, Selleck), phospho-EZH2 (Thr345) (TA3584S, Abmart, Shanghai, China), phospho-CDK1 (Thr14) (AP1465, Abclonal, Wuhan, China), ubiquitin (10201-2-AP, Proteintech), HIF1α (36169, Cell Signaling Technology, CST, Beverly, MA, USA), H3K4me3 (91264, Active Motif), H3K79me3 (cat 49-1020, Thermos Fisher), H3K9me3 (61014, Active Motif), H3K27me3 (91168, Active Motif) and Histone 3 (F0057, Selleck).

Techniques: Migration, Functional Assay, Expressing, Modification, Stable Transfection, Control, Western Blot, Amplification, Binding Assay, Phospho-proteomics, Concentration Assay, Incubation, Labeling

Working model of BPGM-mediated metabolic-epigenetic regulation axis and its gatekeeper role in tumor metastasis. In low-metastatic tumors, higher oxygen levels activate KDM4A, which removes repressive H3K9me3 marks at the BPGM promoter, thereby promoting BPGM transcription. Elevated BPGM expression increases the production of 2,3-BPG, which stabilizes EZH2 and enhances SAM-dependent H3K27me3 deposition. This epigenetic remodeling leads to transcriptional silencing of BBOX1 , a key gene involved in carnitine biosynthesis, consequently suppressing fatty acid oxidation and inhibiting tumor metastasis. In contrast, under hypoxic conditions commonly found in high-metastatic tumors, KDM4A activity is diminished, resulting in the accumulation of H3K9me3 at the BPGM promoter and subsequent downregulation of BPGM expression. This disruption of the BPGM-mediated regulatory axis abrogates its anti-metastatic function. Notably, preclinical studies revealed that pharmacological inhibition of BBOX1 with Meldonium restores the metabolic-epigenetic barrier, effectively impeding metastatic progression.

Journal: Neoplasia (New York, N.Y.)

Article Title: BPGM as an intrinsic brake to constrain metastasis through phospho-epigenetic-mediated carnitine biosynthesis suppression

doi: 10.1016/j.neo.2026.101299

Figure Lengend Snippet: Working model of BPGM-mediated metabolic-epigenetic regulation axis and its gatekeeper role in tumor metastasis. In low-metastatic tumors, higher oxygen levels activate KDM4A, which removes repressive H3K9me3 marks at the BPGM promoter, thereby promoting BPGM transcription. Elevated BPGM expression increases the production of 2,3-BPG, which stabilizes EZH2 and enhances SAM-dependent H3K27me3 deposition. This epigenetic remodeling leads to transcriptional silencing of BBOX1 , a key gene involved in carnitine biosynthesis, consequently suppressing fatty acid oxidation and inhibiting tumor metastasis. In contrast, under hypoxic conditions commonly found in high-metastatic tumors, KDM4A activity is diminished, resulting in the accumulation of H3K9me3 at the BPGM promoter and subsequent downregulation of BPGM expression. This disruption of the BPGM-mediated regulatory axis abrogates its anti-metastatic function. Notably, preclinical studies revealed that pharmacological inhibition of BBOX1 with Meldonium restores the metabolic-epigenetic barrier, effectively impeding metastatic progression.

Article Snippet: The antibodies used included mouse antibody against β-actin (BM0627, Boster, Wuhan, China), rabbit antibody against BPGM (17173-1-AP, Proteintech), EZH2 (F0281, Selleck), phospho-EZH2 (Thr345) (TA3584S, Abmart, Shanghai, China), phospho-CDK1 (Thr14) (AP1465, Abclonal, Wuhan, China), ubiquitin (10201-2-AP, Proteintech), HIF1α (36169, Cell Signaling Technology, CST, Beverly, MA, USA), H3K4me3 (91264, Active Motif), H3K79me3 (cat 49-1020, Thermos Fisher), H3K9me3 (61014, Active Motif), H3K27me3 (91168, Active Motif) and Histone 3 (F0057, Selleck).

Techniques: Expressing, Activity Assay, Disruption, Inhibition

Regulation of EZH2 and MAPK pathways by the FOXN3-E2F5 axis in AML. ( A ) Volcano plots illustrating differentially expressed genes in THP1 cells with FOXN3 overexpression compared to control THP1 cells. ( B ) The top twenty significant KEGG pathways related to differentially expressed genes in THP1 cells with FOXN3 overexpression compared to control THP1 cells. The red box highlights the signal pathway that are in agreement with the functional results. ( C ) Western blot analysis showing the protein levels of EZH2, ERK1/2, and phosphorylated ERK1/2 (p-ERK1/2) in cells co-transfected with lentiviruses for FOXN3 and E2F5 overexpression. The experiments were conducted using three independent replicates and the data are presented as mean ± SD. Statistical significance is indicated as follows: * P < 0.05, and ** P < 0.01.

Journal: Blood and Lymphatic Cancer: Targets and Therapy

Article Title: Crosstalk Between FOXN3 and E2F5 Reveals a Novel Tumor Suppressive Pathway in Acute Myeloid Leukemia via MAPK Signaling: Implications for Potential Future Targeted Therapy

doi: 10.2147/BLCTT.S571966

Figure Lengend Snippet: Regulation of EZH2 and MAPK pathways by the FOXN3-E2F5 axis in AML. ( A ) Volcano plots illustrating differentially expressed genes in THP1 cells with FOXN3 overexpression compared to control THP1 cells. ( B ) The top twenty significant KEGG pathways related to differentially expressed genes in THP1 cells with FOXN3 overexpression compared to control THP1 cells. The red box highlights the signal pathway that are in agreement with the functional results. ( C ) Western blot analysis showing the protein levels of EZH2, ERK1/2, and phosphorylated ERK1/2 (p-ERK1/2) in cells co-transfected with lentiviruses for FOXN3 and E2F5 overexpression. The experiments were conducted using three independent replicates and the data are presented as mean ± SD. Statistical significance is indicated as follows: * P < 0.05, and ** P < 0.01.

Article Snippet: The primary antibodies used were as follows: FOXN3 (ab129453, 1:2500, Abcam, UK), E2F5 (A16042, 1:500, ABclonal, China), CDC42 (2466T, 1:1000, Cell Signaling Technology, MA), HDAC1 (34589T, 1:1000, Cell Signaling Technology, MA), PCNA (WL03213, 1:500, Wanleibio, China), CyclinE1 (WL01072, 1:1000, Wanleibio, China), CDK2 (WL01543, 1:500, Wanleibio, China), CyclinD1 (WL01435a, 1:400, Wanleibio, China), CDK6 (WL03460, 1:500, Wanleibio, China), Bcl-2 (WL01556, 1:1000, Wanleibio, China), EZH2 (WL00795, 1:1000, Wanleibio, China), p-ERK (WLP1512, 1:1000, Wanleibio, China), ERK (WL01864, 1:1000, Wanleibio, China), p-38 (WL00764, 1:1000, Wanleibio, China), and GAPDH (5174, 1:1000, Cell Signaling Technology, MA).

Techniques: Over Expression, Control, Functional Assay, Western Blot, Transfection

The mechanism of FOXN3-E2F5-EZH2-MAPK regulatory axis in AML.

Journal: Blood and Lymphatic Cancer: Targets and Therapy

Article Title: Crosstalk Between FOXN3 and E2F5 Reveals a Novel Tumor Suppressive Pathway in Acute Myeloid Leukemia via MAPK Signaling: Implications for Potential Future Targeted Therapy

doi: 10.2147/BLCTT.S571966

Figure Lengend Snippet: The mechanism of FOXN3-E2F5-EZH2-MAPK regulatory axis in AML.

Article Snippet: The primary antibodies used were as follows: FOXN3 (ab129453, 1:2500, Abcam, UK), E2F5 (A16042, 1:500, ABclonal, China), CDC42 (2466T, 1:1000, Cell Signaling Technology, MA), HDAC1 (34589T, 1:1000, Cell Signaling Technology, MA), PCNA (WL03213, 1:500, Wanleibio, China), CyclinE1 (WL01072, 1:1000, Wanleibio, China), CDK2 (WL01543, 1:500, Wanleibio, China), CyclinD1 (WL01435a, 1:400, Wanleibio, China), CDK6 (WL03460, 1:500, Wanleibio, China), Bcl-2 (WL01556, 1:1000, Wanleibio, China), EZH2 (WL00795, 1:1000, Wanleibio, China), p-ERK (WLP1512, 1:1000, Wanleibio, China), ERK (WL01864, 1:1000, Wanleibio, China), p-38 (WL00764, 1:1000, Wanleibio, China), and GAPDH (5174, 1:1000, Cell Signaling Technology, MA).

Techniques: