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Mechanisms of NSC Differentiation into Neurons Promoted by Composite In Vitro. A) Schematic of the interactive system with NSCs and the composites. B) Representative confocal images of NSCs treated with distinct groups for 72 h. NSCs were stained with Tuj-1 (red), GFAP (green), and DAPI (blue). Scale bar: 50 μm. C-D) Quantitative analysis of Tuj-1 (C) and GFAP (D) fluorescence intensity in each group (n = 4). E) Western blot bands of Tuj-1 and GFAP protein expression in NSCs treated with separate groups. F-G) Quantitative analysis of Tuj-1/GAPDH (F) and GFAP/GAPDH (G) ratios in each group (n = 3). H) Volcano plots of DEGs in the hUCMSC-Exo + PM vs. control. DEGs are defined as |log2FC| ≥ 1 with q < 0.05. I-J) GO and KEGG pathway enrichment analysis of DEGs in NSCs after intervention with hUCMSC-Exo + PM. K) Heatmap showing the expression levels of significantly altered genes in the hUCMSC-Exo + PM and Control. L) GSEA showing pathways significantly positively correlated with DEGs in the hUCMSC-Exo + PM group. Enrichment scores (ES), P values, and false discovery rates (FDR) values are indicated for each pathway. M) Western blot bands of p-CaMK II, CaMK II, <t>p-CREB,</t> CREB, p-PI3K, PI3K, p-AKT, and AKT protein expression in NSCs treated with distinct groups. N) Quantitative analysis of p-CaMK II/CaMK II, p-CREB/CREB, p-PI3K/PI3K, and p-AKT/AKT ratios (n = 3). All data are presented as the mean ± SEM. ∗p < 0.05, ∗∗p < 0.01, ∗∗∗p < 0.001, ∗∗∗∗p < 0.0001.
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Mechanisms of NSC Differentiation into Neurons Promoted by Composite In Vitro. A) Schematic of the interactive system with NSCs and the composites. B) Representative confocal images of NSCs treated with distinct groups for 72 h. NSCs were stained with Tuj-1 (red), GFAP (green), and DAPI (blue). Scale bar: 50 μm. C-D) Quantitative analysis of Tuj-1 (C) and GFAP (D) fluorescence intensity in each group (n = 4). E) Western blot bands of Tuj-1 and GFAP protein expression in NSCs treated with separate groups. F-G) Quantitative analysis of Tuj-1/GAPDH (F) and GFAP/GAPDH (G) ratios in each group (n = 3). H) Volcano plots of DEGs in the hUCMSC-Exo + PM vs. control. DEGs are defined as |log2FC| ≥ 1 with q < 0.05. I-J) GO and KEGG pathway enrichment analysis of DEGs in NSCs after intervention with hUCMSC-Exo + PM. K) Heatmap showing the expression levels of significantly altered genes in the hUCMSC-Exo + PM and Control. L) GSEA showing pathways significantly positively correlated with DEGs in the hUCMSC-Exo + PM group. Enrichment scores (ES), P values, and false discovery rates (FDR) values are indicated for each pathway. M) Western blot bands of p-CaMK II, CaMK II, <t>p-CREB,</t> <t>CREB,</t> <t>p-PI3K,</t> PI3K, p-AKT, and AKT protein expression in NSCs treated with distinct groups. N) Quantitative analysis of p-CaMK II/CaMK II, p-CREB/CREB, p-PI3K/PI3K, and p-AKT/AKT ratios (n = 3). All data are presented as the mean ± SEM. ∗p < 0.05, ∗∗p < 0.01, ∗∗∗p < 0.001, ∗∗∗∗p < 0.0001.
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Mechanisms of NSC Differentiation into Neurons Promoted by Composite In Vitro. A) Schematic of the interactive system with NSCs and the composites. B) Representative confocal images of NSCs treated with distinct groups for 72 h. NSCs were stained with Tuj-1 (red), GFAP (green), and DAPI (blue). Scale bar: 50 μm. C-D) Quantitative analysis of Tuj-1 (C) and GFAP (D) fluorescence intensity in each group (n = 4). E) Western blot bands of Tuj-1 and GFAP protein expression in NSCs treated with separate groups. F-G) Quantitative analysis of Tuj-1/GAPDH (F) and GFAP/GAPDH (G) ratios in each group (n = 3). H) Volcano plots of DEGs in the hUCMSC-Exo + PM vs. control. DEGs are defined as |log2FC| ≥ 1 with q < 0.05. I-J) GO and KEGG pathway enrichment analysis of DEGs in NSCs after intervention with hUCMSC-Exo + PM. K) Heatmap showing the expression levels of significantly altered genes in the hUCMSC-Exo + PM and Control. L) GSEA showing pathways significantly positively correlated with DEGs in the hUCMSC-Exo + PM group. Enrichment scores (ES), P values, and false discovery rates (FDR) values are indicated for each pathway. M) Western blot bands of p-CaMK II, CaMK II, <t>p-CREB,</t> <t>CREB,</t> <t>p-PI3K,</t> PI3K, p-AKT, and AKT protein expression in NSCs treated with distinct groups. N) Quantitative analysis of p-CaMK II/CaMK II, p-CREB/CREB, p-PI3K/PI3K, and p-AKT/AKT ratios (n = 3). All data are presented as the mean ± SEM. ∗p < 0.05, ∗∗p < 0.01, ∗∗∗p < 0.001, ∗∗∗∗p < 0.0001.
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Mechanisms of NSC Differentiation into Neurons Promoted by Composite In Vitro. A) Schematic of the interactive system with NSCs and the composites. B) Representative confocal images of NSCs treated with distinct groups for 72 h. NSCs were stained with Tuj-1 (red), GFAP (green), and DAPI (blue). Scale bar: 50 μm. C-D) Quantitative analysis of Tuj-1 (C) and GFAP (D) fluorescence intensity in each group (n = 4). E) Western blot bands of Tuj-1 and GFAP protein expression in NSCs treated with separate groups. F-G) Quantitative analysis of Tuj-1/GAPDH (F) and GFAP/GAPDH (G) ratios in each group (n = 3). H) Volcano plots of DEGs in the hUCMSC-Exo + PM vs. control. DEGs are defined as |log2FC| ≥ 1 with q < 0.05. I-J) GO and KEGG pathway enrichment analysis of DEGs in NSCs after intervention with hUCMSC-Exo + PM. K) Heatmap showing the expression levels of significantly altered genes in the hUCMSC-Exo + PM and Control. L) GSEA showing pathways significantly positively correlated with DEGs in the hUCMSC-Exo + PM group. Enrichment scores (ES), P values, and false discovery rates (FDR) values are indicated for each pathway. M) Western blot bands of p-CaMK II, CaMK II, <t>p-CREB,</t> <t>CREB,</t> <t>p-PI3K,</t> PI3K, p-AKT, and AKT protein expression in NSCs treated with distinct groups. N) Quantitative analysis of p-CaMK II/CaMK II, p-CREB/CREB, p-PI3K/PI3K, and p-AKT/AKT ratios (n = 3). All data are presented as the mean ± SEM. ∗p < 0.05, ∗∗p < 0.01, ∗∗∗p < 0.001, ∗∗∗∗p < 0.0001.
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Effect of transient SUMOylation inhibition in pre-adipocytes on cAMP-PKA-p38 signaling and adaptive thermogenesis in mature adipocytes. ( A ) Heatmap showing the stable upregulation of most genes involved in adaptive thermogenesis and cAMP-PKA-p38 signaling 22 days after adipogenic induction. Z -scores were calculated and plotted in GraphPad Prism. Treatments of pre-adipocytes were performed as shown in Fig. . ( B ) Western blot analysis of PKA substrates phosphorylation, assessed using a pan-PKA-target antibody, 22 days after adipogenic induction. TBP was used as a loading control. The asterisk (*) indicates substrates significantly affected by TAK-981 and/or rosiglitazone treatment. ( C ) Quantification of PKA substrate signals from panel (B). The signal for PKA substrates and TBP was quantified using Fiji software, with PKA substrate signals normalized to TBP. Error bars represent the standard deviation of four independent experiments. Student’s t -test was used to calculate P -values. ( D ) Western blot analysis of p-CREB, <t>p-ATF1,</t> p38, p-p38, and p-ATF2, 22 days after adipogenic induction. TBP was used as a loading control. ( E ) Quantification of p-CREB/ATF-1 signals from panel (D). Signals were normalized to TBP. Error bars represent the standard deviation of three independent experiments. Student’s t -test was used to calculate P -values. ( F ) Western blot analysis of p-CREB in the absence or presence of the PKA inhibitor RP-8-CPT-cAMPS. TBP was used as a loading control. Quantification of p-CREB, normalized to TBP, is showed in the lower panel. Error bars represent the standard deviation of two independent experiments. Quantification of p-p38 ( G ) and p-ATF2 ( H ) from experiment in panel (D). Signals were normalized to TBP for p-ATF2 and to p38 for p-p38. Error bars represent the standard deviation of three independent experiments. Student’s t -test was used to calculate P -values.
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Effect of transient SUMOylation inhibition in pre-adipocytes on cAMP-PKA-p38 signaling and adaptive thermogenesis in mature adipocytes. ( A ) Heatmap showing the stable upregulation of most genes involved in adaptive thermogenesis and cAMP-PKA-p38 signaling 22 days after adipogenic induction. Z -scores were calculated and plotted in GraphPad Prism. Treatments of pre-adipocytes were performed as shown in Fig. . ( B ) Western blot analysis of PKA substrates phosphorylation, assessed using a pan-PKA-target antibody, 22 days after adipogenic induction. TBP was used as a loading control. The asterisk (*) indicates substrates significantly affected by TAK-981 and/or rosiglitazone treatment. ( C ) Quantification of PKA substrate signals from panel (B). The signal for PKA substrates and TBP was quantified using Fiji software, with PKA substrate signals normalized to TBP. Error bars represent the standard deviation of four independent experiments. Student’s t -test was used to calculate P -values. ( D ) Western blot analysis of p-CREB, <t>p-ATF1,</t> p38, p-p38, and p-ATF2, 22 days after adipogenic induction. TBP was used as a loading control. ( E ) Quantification of p-CREB/ATF-1 signals from panel (D). Signals were normalized to TBP. Error bars represent the standard deviation of three independent experiments. Student’s t -test was used to calculate P -values. ( F ) Western blot analysis of p-CREB in the absence or presence of the PKA inhibitor RP-8-CPT-cAMPS. TBP was used as a loading control. Quantification of p-CREB, normalized to TBP, is showed in the lower panel. Error bars represent the standard deviation of two independent experiments. Quantification of p-p38 ( G ) and p-ATF2 ( H ) from experiment in panel (D). Signals were normalized to TBP for p-ATF2 and to p38 for p-p38. Error bars represent the standard deviation of three independent experiments. Student’s t -test was used to calculate P -values.
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Image Search Results


Mechanisms of NSC Differentiation into Neurons Promoted by Composite In Vitro. A) Schematic of the interactive system with NSCs and the composites. B) Representative confocal images of NSCs treated with distinct groups for 72 h. NSCs were stained with Tuj-1 (red), GFAP (green), and DAPI (blue). Scale bar: 50 μm. C-D) Quantitative analysis of Tuj-1 (C) and GFAP (D) fluorescence intensity in each group (n = 4). E) Western blot bands of Tuj-1 and GFAP protein expression in NSCs treated with separate groups. F-G) Quantitative analysis of Tuj-1/GAPDH (F) and GFAP/GAPDH (G) ratios in each group (n = 3). H) Volcano plots of DEGs in the hUCMSC-Exo + PM vs. control. DEGs are defined as |log2FC| ≥ 1 with q < 0.05. I-J) GO and KEGG pathway enrichment analysis of DEGs in NSCs after intervention with hUCMSC-Exo + PM. K) Heatmap showing the expression levels of significantly altered genes in the hUCMSC-Exo + PM and Control. L) GSEA showing pathways significantly positively correlated with DEGs in the hUCMSC-Exo + PM group. Enrichment scores (ES), P values, and false discovery rates (FDR) values are indicated for each pathway. M) Western blot bands of p-CaMK II, CaMK II, p-CREB, CREB, p-PI3K, PI3K, p-AKT, and AKT protein expression in NSCs treated with distinct groups. N) Quantitative analysis of p-CaMK II/CaMK II, p-CREB/CREB, p-PI3K/PI3K, and p-AKT/AKT ratios (n = 3). All data are presented as the mean ± SEM. ∗p < 0.05, ∗∗p < 0.01, ∗∗∗p < 0.001, ∗∗∗∗p < 0.0001.

Journal: Bioactive Materials

Article Title: Integrated cryopreservation-thawing-transplantation platform for neural stem cell-based spinal cord injury repair

doi: 10.1016/j.bioactmat.2026.01.024

Figure Lengend Snippet: Mechanisms of NSC Differentiation into Neurons Promoted by Composite In Vitro. A) Schematic of the interactive system with NSCs and the composites. B) Representative confocal images of NSCs treated with distinct groups for 72 h. NSCs were stained with Tuj-1 (red), GFAP (green), and DAPI (blue). Scale bar: 50 μm. C-D) Quantitative analysis of Tuj-1 (C) and GFAP (D) fluorescence intensity in each group (n = 4). E) Western blot bands of Tuj-1 and GFAP protein expression in NSCs treated with separate groups. F-G) Quantitative analysis of Tuj-1/GAPDH (F) and GFAP/GAPDH (G) ratios in each group (n = 3). H) Volcano plots of DEGs in the hUCMSC-Exo + PM vs. control. DEGs are defined as |log2FC| ≥ 1 with q < 0.05. I-J) GO and KEGG pathway enrichment analysis of DEGs in NSCs after intervention with hUCMSC-Exo + PM. K) Heatmap showing the expression levels of significantly altered genes in the hUCMSC-Exo + PM and Control. L) GSEA showing pathways significantly positively correlated with DEGs in the hUCMSC-Exo + PM group. Enrichment scores (ES), P values, and false discovery rates (FDR) values are indicated for each pathway. M) Western blot bands of p-CaMK II, CaMK II, p-CREB, CREB, p-PI3K, PI3K, p-AKT, and AKT protein expression in NSCs treated with distinct groups. N) Quantitative analysis of p-CaMK II/CaMK II, p-CREB/CREB, p-PI3K/PI3K, and p-AKT/AKT ratios (n = 3). All data are presented as the mean ± SEM. ∗p < 0.05, ∗∗p < 0.01, ∗∗∗p < 0.001, ∗∗∗∗p < 0.0001.

Article Snippet: The primary antibodies used in this research are listed below: CD68 (Abcam, Cambridge, UK), CD206 (Abcam, Cambridge, UK), GFAP (Bioss, Beijing, China), iNOS (Abcam, Cambridge, UK), Tuj-1 (Abcam, Cambridge, UK), NF-200 (Invitrogen, CA, USA), MBP (Abcam, Cambridge, UK), HIF-1α (Abcam, Cambridge, UK), VEGFA (Abcam, Cambridge, UK), P-CaMKII (Abcam, Cambridge, UK), CaMKII (Abcam, Cambridge, UK), P-CREB (Cell Signaling Technology, USA), CREB (Cell Signaling Technology, USA), P-PI3K (Cell Signaling Technology, USA), PI3K (Cell Signaling Technology, USA), P-AKT (Cell Signaling Technology, USA), AKT (Cell Signaling Technology, USA), Cleaved-Caspase3 (Cell Signaling Technology, USA), Bcl-2 (Cell Signaling Technology, USA), Bax (Cell Signaling Technology, USA), GAPDH (Proteintech, IL, USA).

Techniques: In Vitro, Staining, Fluorescence, Western Blot, Expressing, Control

Mechanisms of NSC Differentiation into Neurons Promoted by Composite In Vitro. A) Schematic of the interactive system with NSCs and the composites. B) Representative confocal images of NSCs treated with distinct groups for 72 h. NSCs were stained with Tuj-1 (red), GFAP (green), and DAPI (blue). Scale bar: 50 μm. C-D) Quantitative analysis of Tuj-1 (C) and GFAP (D) fluorescence intensity in each group (n = 4). E) Western blot bands of Tuj-1 and GFAP protein expression in NSCs treated with separate groups. F-G) Quantitative analysis of Tuj-1/GAPDH (F) and GFAP/GAPDH (G) ratios in each group (n = 3). H) Volcano plots of DEGs in the hUCMSC-Exo + PM vs. control. DEGs are defined as |log2FC| ≥ 1 with q < 0.05. I-J) GO and KEGG pathway enrichment analysis of DEGs in NSCs after intervention with hUCMSC-Exo + PM. K) Heatmap showing the expression levels of significantly altered genes in the hUCMSC-Exo + PM and Control. L) GSEA showing pathways significantly positively correlated with DEGs in the hUCMSC-Exo + PM group. Enrichment scores (ES), P values, and false discovery rates (FDR) values are indicated for each pathway. M) Western blot bands of p-CaMK II, CaMK II, p-CREB, CREB, p-PI3K, PI3K, p-AKT, and AKT protein expression in NSCs treated with distinct groups. N) Quantitative analysis of p-CaMK II/CaMK II, p-CREB/CREB, p-PI3K/PI3K, and p-AKT/AKT ratios (n = 3). All data are presented as the mean ± SEM. ∗p < 0.05, ∗∗p < 0.01, ∗∗∗p < 0.001, ∗∗∗∗p < 0.0001.

Journal: Bioactive Materials

Article Title: Integrated cryopreservation-thawing-transplantation platform for neural stem cell-based spinal cord injury repair

doi: 10.1016/j.bioactmat.2026.01.024

Figure Lengend Snippet: Mechanisms of NSC Differentiation into Neurons Promoted by Composite In Vitro. A) Schematic of the interactive system with NSCs and the composites. B) Representative confocal images of NSCs treated with distinct groups for 72 h. NSCs were stained with Tuj-1 (red), GFAP (green), and DAPI (blue). Scale bar: 50 μm. C-D) Quantitative analysis of Tuj-1 (C) and GFAP (D) fluorescence intensity in each group (n = 4). E) Western blot bands of Tuj-1 and GFAP protein expression in NSCs treated with separate groups. F-G) Quantitative analysis of Tuj-1/GAPDH (F) and GFAP/GAPDH (G) ratios in each group (n = 3). H) Volcano plots of DEGs in the hUCMSC-Exo + PM vs. control. DEGs are defined as |log2FC| ≥ 1 with q < 0.05. I-J) GO and KEGG pathway enrichment analysis of DEGs in NSCs after intervention with hUCMSC-Exo + PM. K) Heatmap showing the expression levels of significantly altered genes in the hUCMSC-Exo + PM and Control. L) GSEA showing pathways significantly positively correlated with DEGs in the hUCMSC-Exo + PM group. Enrichment scores (ES), P values, and false discovery rates (FDR) values are indicated for each pathway. M) Western blot bands of p-CaMK II, CaMK II, p-CREB, CREB, p-PI3K, PI3K, p-AKT, and AKT protein expression in NSCs treated with distinct groups. N) Quantitative analysis of p-CaMK II/CaMK II, p-CREB/CREB, p-PI3K/PI3K, and p-AKT/AKT ratios (n = 3). All data are presented as the mean ± SEM. ∗p < 0.05, ∗∗p < 0.01, ∗∗∗p < 0.001, ∗∗∗∗p < 0.0001.

Article Snippet: The primary antibodies used in this research are listed below: CD68 (Abcam, Cambridge, UK), CD206 (Abcam, Cambridge, UK), GFAP (Bioss, Beijing, China), iNOS (Abcam, Cambridge, UK), Tuj-1 (Abcam, Cambridge, UK), NF-200 (Invitrogen, CA, USA), MBP (Abcam, Cambridge, UK), HIF-1α (Abcam, Cambridge, UK), VEGFA (Abcam, Cambridge, UK), P-CaMKII (Abcam, Cambridge, UK), CaMKII (Abcam, Cambridge, UK), P-CREB (Cell Signaling Technology, USA), CREB (Cell Signaling Technology, USA), P-PI3K (Cell Signaling Technology, USA), PI3K (Cell Signaling Technology, USA), P-AKT (Cell Signaling Technology, USA), AKT (Cell Signaling Technology, USA), Cleaved-Caspase3 (Cell Signaling Technology, USA), Bcl-2 (Cell Signaling Technology, USA), Bax (Cell Signaling Technology, USA), GAPDH (Proteintech, IL, USA).

Techniques: In Vitro, Staining, Fluorescence, Western Blot, Expressing, Control

Effect of transient SUMOylation inhibition in pre-adipocytes on cAMP-PKA-p38 signaling and adaptive thermogenesis in mature adipocytes. ( A ) Heatmap showing the stable upregulation of most genes involved in adaptive thermogenesis and cAMP-PKA-p38 signaling 22 days after adipogenic induction. Z -scores were calculated and plotted in GraphPad Prism. Treatments of pre-adipocytes were performed as shown in Fig. . ( B ) Western blot analysis of PKA substrates phosphorylation, assessed using a pan-PKA-target antibody, 22 days after adipogenic induction. TBP was used as a loading control. The asterisk (*) indicates substrates significantly affected by TAK-981 and/or rosiglitazone treatment. ( C ) Quantification of PKA substrate signals from panel (B). The signal for PKA substrates and TBP was quantified using Fiji software, with PKA substrate signals normalized to TBP. Error bars represent the standard deviation of four independent experiments. Student’s t -test was used to calculate P -values. ( D ) Western blot analysis of p-CREB, p-ATF1, p38, p-p38, and p-ATF2, 22 days after adipogenic induction. TBP was used as a loading control. ( E ) Quantification of p-CREB/ATF-1 signals from panel (D). Signals were normalized to TBP. Error bars represent the standard deviation of three independent experiments. Student’s t -test was used to calculate P -values. ( F ) Western blot analysis of p-CREB in the absence or presence of the PKA inhibitor RP-8-CPT-cAMPS. TBP was used as a loading control. Quantification of p-CREB, normalized to TBP, is showed in the lower panel. Error bars represent the standard deviation of two independent experiments. Quantification of p-p38 ( G ) and p-ATF2 ( H ) from experiment in panel (D). Signals were normalized to TBP for p-ATF2 and to p38 for p-p38. Error bars represent the standard deviation of three independent experiments. Student’s t -test was used to calculate P -values.

Journal: Nucleic Acids Research

Article Title: Transient SUMOylation inhibition in human pre-adipocytes stably imprints a transcriptional beiging fate

doi: 10.1093/nar/gkag232

Figure Lengend Snippet: Effect of transient SUMOylation inhibition in pre-adipocytes on cAMP-PKA-p38 signaling and adaptive thermogenesis in mature adipocytes. ( A ) Heatmap showing the stable upregulation of most genes involved in adaptive thermogenesis and cAMP-PKA-p38 signaling 22 days after adipogenic induction. Z -scores were calculated and plotted in GraphPad Prism. Treatments of pre-adipocytes were performed as shown in Fig. . ( B ) Western blot analysis of PKA substrates phosphorylation, assessed using a pan-PKA-target antibody, 22 days after adipogenic induction. TBP was used as a loading control. The asterisk (*) indicates substrates significantly affected by TAK-981 and/or rosiglitazone treatment. ( C ) Quantification of PKA substrate signals from panel (B). The signal for PKA substrates and TBP was quantified using Fiji software, with PKA substrate signals normalized to TBP. Error bars represent the standard deviation of four independent experiments. Student’s t -test was used to calculate P -values. ( D ) Western blot analysis of p-CREB, p-ATF1, p38, p-p38, and p-ATF2, 22 days after adipogenic induction. TBP was used as a loading control. ( E ) Quantification of p-CREB/ATF-1 signals from panel (D). Signals were normalized to TBP. Error bars represent the standard deviation of three independent experiments. Student’s t -test was used to calculate P -values. ( F ) Western blot analysis of p-CREB in the absence or presence of the PKA inhibitor RP-8-CPT-cAMPS. TBP was used as a loading control. Quantification of p-CREB, normalized to TBP, is showed in the lower panel. Error bars represent the standard deviation of two independent experiments. Quantification of p-p38 ( G ) and p-ATF2 ( H ) from experiment in panel (D). Signals were normalized to TBP for p-ATF2 and to p38 for p-p38. Error bars represent the standard deviation of three independent experiments. Student’s t -test was used to calculate P -values.

Article Snippet: The following antibodies were used: UCP1, abcam, ab209483; PKA phospho-substrates, Cell Signaling, 9624; p-CREB/p-ATF1, Cell Signaling, 9198; p38 MAPK, Cell Signaling, 9212; p-p38 MAPK, Cell Signaling, 9211; p-ATF2, Cell Signaling, 24329; SUMO2/3, abcam, ab81371; PPARG, Cell signaling, 2443; and TBP, Protein Tech, 22006-1-AP or abcam, 282715; γ-tubulin, Sigma, T5326: CEBPB, Santa Cruz, sc-7962 quantifications were performed using FiJi [ ].

Techniques: Inhibition, Western Blot, Phospho-proteomics, Control, Software, Standard Deviation