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foxp3  (Bioss)


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    Bioss foxp3
    Foxp3, supplied by Bioss, used in various techniques. Bioz Stars score: 94/100, based on 14 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/foxp3/product/Bioss
    Average 94 stars, based on 14 article reviews
    foxp3 - by Bioz Stars, 2026-02
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    Proteintech foxp3 polyclonal antibody
    ( A ) CD4 + T cell immune balance detection. Th1 and Th2 cells were detected simultaneously by flow cytometry. Th1 cells were labeled with CD4 + IFN-γ + (PerCP-CyTM5.5 mouse anti-pig CD4α, Alexa Fluor 647 mouse anti-pig IFN-γ), and Th2 cells were labeled with CD4 + GATA3 + (PerCP-CyTM5.5 mouse anti-pig CD4α, Gata-3 monoclonal antibody [TWAJ], PE). ( B ) Th17 cells were detected by flow cytometry. They were labeled with CD4 + IL-17A + (PerCP-CyTM5.5 mouse anti-pig CD4α, PE mouse anti-human IL-17A). ( C ) Treg cells were detected by flow cytometry. They were labeled with CD4 + CD25 + <t>Foxp3</t> + (PerCP-CyTM5.5 mouse anti-pig CD4α, Alexa Fluor 647 mouse anti-pig CD25, FOXP3 monoclonal antibody (FJK-16s), PE). Dynamic changes in Th1 ( D ) and Th2 ( E ) cell frequencies were quantitatively analyzed at various time points following PCV2 infection. ( F ) Th1/Th2 immune balance analysis. The frequencies of Th17 ( G ) and Treg ( H ) cells in piglets were measured at different time points during PCV2 infection. ( I ) Th17/Treg immune balance analysis.
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    Mechanism diagram of moxibustion intervention in gastric cancer mice for immune regulation and anti-tumor effects. Moxibustion can reverse tumor immune escape and enhance the immune function of the body by regulating and reducing the proportion of CD4 + CD25+Foxp3+Treg cells in the blood and the expression levels of IL-10 and TGF-β1. The acupoints for the corresponding experimental mice are Zhongwan (CV12), Qihai (CV6), Guanyuan (CV4), and Zusanli (ST36).

    Journal: Frontiers in Pharmacology

    Article Title: Moxibustion combined with chemotherapy inhibits gastric cancer growth by modulating the immunosuppressive microenvironment involving the Treg/IL-10/TGF-β1 axis

    doi: 10.3389/fphar.2025.1688182

    Figure Lengend Snippet: Mechanism diagram of moxibustion intervention in gastric cancer mice for immune regulation and anti-tumor effects. Moxibustion can reverse tumor immune escape and enhance the immune function of the body by regulating and reducing the proportion of CD4 + CD25+Foxp3+Treg cells in the blood and the expression levels of IL-10 and TGF-β1. The acupoints for the corresponding experimental mice are Zhongwan (CV12), Qihai (CV6), Guanyuan (CV4), and Zusanli (ST36).

    Article Snippet: The primary antibodies and their dilution ratios were as follows: rabbit polyclonal antibody against Foxp3 (Bioss, cat. Bs-23074R, lot: AF03154485), diluted 1:1,000; rabbit polyclonal antibody against TGF-β1 (Bioss, cat. Bs-0086R, lot: AG19301,531), diluted 1:2000; mouse monoclonal antibody against GAPDH (Zhongshan Jinqiao, cat. TA-08, lot: 230040220), diluted 1:2000.

    Techniques: Expressing

    Correlation analysis among FOXP3, IL-10, and TGF-β1 in gastric cancer. In gastric cancer tissues, FOXP3, IL-10 and TGFβ1 are all associated with immune cells to varying degrees (A) , and have a strong association with Treg cells (B) .

    Journal: Frontiers in Pharmacology

    Article Title: Moxibustion combined with chemotherapy inhibits gastric cancer growth by modulating the immunosuppressive microenvironment involving the Treg/IL-10/TGF-β1 axis

    doi: 10.3389/fphar.2025.1688182

    Figure Lengend Snippet: Correlation analysis among FOXP3, IL-10, and TGF-β1 in gastric cancer. In gastric cancer tissues, FOXP3, IL-10 and TGFβ1 are all associated with immune cells to varying degrees (A) , and have a strong association with Treg cells (B) .

    Article Snippet: The primary antibodies and their dilution ratios were as follows: rabbit polyclonal antibody against Foxp3 (Bioss, cat. Bs-23074R, lot: AF03154485), diluted 1:1,000; rabbit polyclonal antibody against TGF-β1 (Bioss, cat. Bs-0086R, lot: AG19301,531), diluted 1:2000; mouse monoclonal antibody against GAPDH (Zhongshan Jinqiao, cat. TA-08, lot: 230040220), diluted 1:2000.

    Techniques:

    Single-cell analysis of gastric cancer dataset GSE163558 . (A) The t-SNE plot of single-cell dimensionality reduction and clustering shows the distribution and clustering of various immune and epithelial cell subpopulations in gastric cancer (GC) and adjacent normal tissues (NOR), including T cells, B cells, macrophages, etc., with different colors and annotations. (B) The left side is a stacked bar chart showing the proportion of each cell subpopulation in gastric cancer (GC) and adjacent normal tissues (NOR) samples, and the right side is the visualization of the corresponding cell subpopulations in the t-SNE dimensionality reduction space, with typical cell types such as T cells, macrophages, and endothelial cells labeled. (C) The t-SNE plot of the expression distribution of key genes (FOXP3, IL1B, TGFB1, CTLA4, etc.) in single cells of gastric cancer (GC) and adjacent normal tissues (NOR), with purple dots representing cells with positive gene expression, demonstrating the expression differences and localization in different tissue microenvironments.

    Journal: Frontiers in Pharmacology

    Article Title: Moxibustion combined with chemotherapy inhibits gastric cancer growth by modulating the immunosuppressive microenvironment involving the Treg/IL-10/TGF-β1 axis

    doi: 10.3389/fphar.2025.1688182

    Figure Lengend Snippet: Single-cell analysis of gastric cancer dataset GSE163558 . (A) The t-SNE plot of single-cell dimensionality reduction and clustering shows the distribution and clustering of various immune and epithelial cell subpopulations in gastric cancer (GC) and adjacent normal tissues (NOR), including T cells, B cells, macrophages, etc., with different colors and annotations. (B) The left side is a stacked bar chart showing the proportion of each cell subpopulation in gastric cancer (GC) and adjacent normal tissues (NOR) samples, and the right side is the visualization of the corresponding cell subpopulations in the t-SNE dimensionality reduction space, with typical cell types such as T cells, macrophages, and endothelial cells labeled. (C) The t-SNE plot of the expression distribution of key genes (FOXP3, IL1B, TGFB1, CTLA4, etc.) in single cells of gastric cancer (GC) and adjacent normal tissues (NOR), with purple dots representing cells with positive gene expression, demonstrating the expression differences and localization in different tissue microenvironments.

    Article Snippet: The primary antibodies and their dilution ratios were as follows: rabbit polyclonal antibody against Foxp3 (Bioss, cat. Bs-23074R, lot: AF03154485), diluted 1:1,000; rabbit polyclonal antibody against TGF-β1 (Bioss, cat. Bs-0086R, lot: AG19301,531), diluted 1:2000; mouse monoclonal antibody against GAPDH (Zhongshan Jinqiao, cat. TA-08, lot: 230040220), diluted 1:2000.

    Techniques: Single-cell Analysis, Labeling, Expressing, Gene Expression

    Experimental results in mice. (A) Grouped appearance images of nude mice, showing the general conditions of the model group, moxibustion group, chemotherapy group, and moxibustion combined with chemotherapy group. (B) Gross specimens of tumor tissues from each group of nude mice, comparing the size and shape differences of tumors in each group through a ruler. The two sub-figures have visual proportion differences due to different shooting distances; the actual size should be based on the scale and quantitative data. (C) The changes in tumor volume of each group of mice. The horizontal axis represents the number of days of observation after mouse modeling, and the vertical axis indicates the size of the tumor volume. The expression differences began to be shown from the 12th day as illustrated in the figure. The significant differences between groups are indicated by the letter method. If the letters are the same, it means there is no statistical difference between the two groups; otherwise, there is a difference (p < 0.05). (A) compared with the model group; (B) compared with the moxibustion group; (C) compared with the chemotherapy group. Model group: 32.01 ± 5.49 mm 3 , 92.19 ± 20.40 mm 3 , 157.30 ± 28.79 mm 3 , 276.10 ± 76.86 mm 3 . Moxibustion group: 32.96 ± 2.93 mm 3 , 51.29 ± 12.55 mm 3 , 85.08 ± 17.83 mm 3 , 182.55 ± 15.40 mm 3 . Chemotherapy group: 30.36 ± 7.72 mm 3 , 37.97 ± 15.11 mm 3 , 68.57 ± 15.09 mm 3 , 123.15 ± 36.76 mm 3 . Moxibustion combined with chemotherapy group: 26.39 ± 10.52 mm 3 , 31.50 ± 8.50 mm 3 , 43.53 ± 14.24 mm 3 , 64.09 ± 17.86 mm 3 . There were significant differences in tumor volume among the groups of mice (overall between-group effect: F (3,20) = 90.502, p < 0.001, partial η 2 = 0.931). Post hoc comparisons, with the moxibustion plus chemotherapy group as the reference, showed that on the ninth day, the tumor volume of the model group and the moxibustion group was significantly larger than that of the moxibustion plus chemotherapy group (both p < 0.05); by the 12th day, the tumor volume of the chemotherapy group was also significantly larger than that of the moxibustion plus chemotherapy group (p = 0.041); on the 15th day, the tumor volume of all single-treatment groups was extremely significantly larger than that of the moxibustion plus chemotherapy group (model group vs. combined group: p < 0.001; moxibustion group vs. combined group: p < 0.001; chemotherapy group vs. combined group: p = 0.031). (D) HE staining pathological sections of tumor tissues from each group (upper: low-power field; lower: high-power field of the selected area). (E) Protein expression of FOXP3 and TGF-β1 in tumor tissues. (a) Protein molecular weight standard. (b) Representative results of three independent repeated experiments detected by Western blot. The letters A-E above the bands represent the blank control group, model group, moxibustion group, chemotherapy group, and combined treatment group, respectively. (c–d) Semi-quantitative statistical analysis of FOXP3 (c) and TGF-β1 (d) protein expression. The data were calculated by the ratio of the gray value of the target protein to GAPDH and expressed as mean ± standard deviation. *p < 0.05, **p < 0.01, ***p < 0.001 (α = 0.05).

    Journal: Frontiers in Pharmacology

    Article Title: Moxibustion combined with chemotherapy inhibits gastric cancer growth by modulating the immunosuppressive microenvironment involving the Treg/IL-10/TGF-β1 axis

    doi: 10.3389/fphar.2025.1688182

    Figure Lengend Snippet: Experimental results in mice. (A) Grouped appearance images of nude mice, showing the general conditions of the model group, moxibustion group, chemotherapy group, and moxibustion combined with chemotherapy group. (B) Gross specimens of tumor tissues from each group of nude mice, comparing the size and shape differences of tumors in each group through a ruler. The two sub-figures have visual proportion differences due to different shooting distances; the actual size should be based on the scale and quantitative data. (C) The changes in tumor volume of each group of mice. The horizontal axis represents the number of days of observation after mouse modeling, and the vertical axis indicates the size of the tumor volume. The expression differences began to be shown from the 12th day as illustrated in the figure. The significant differences between groups are indicated by the letter method. If the letters are the same, it means there is no statistical difference between the two groups; otherwise, there is a difference (p < 0.05). (A) compared with the model group; (B) compared with the moxibustion group; (C) compared with the chemotherapy group. Model group: 32.01 ± 5.49 mm 3 , 92.19 ± 20.40 mm 3 , 157.30 ± 28.79 mm 3 , 276.10 ± 76.86 mm 3 . Moxibustion group: 32.96 ± 2.93 mm 3 , 51.29 ± 12.55 mm 3 , 85.08 ± 17.83 mm 3 , 182.55 ± 15.40 mm 3 . Chemotherapy group: 30.36 ± 7.72 mm 3 , 37.97 ± 15.11 mm 3 , 68.57 ± 15.09 mm 3 , 123.15 ± 36.76 mm 3 . Moxibustion combined with chemotherapy group: 26.39 ± 10.52 mm 3 , 31.50 ± 8.50 mm 3 , 43.53 ± 14.24 mm 3 , 64.09 ± 17.86 mm 3 . There were significant differences in tumor volume among the groups of mice (overall between-group effect: F (3,20) = 90.502, p < 0.001, partial η 2 = 0.931). Post hoc comparisons, with the moxibustion plus chemotherapy group as the reference, showed that on the ninth day, the tumor volume of the model group and the moxibustion group was significantly larger than that of the moxibustion plus chemotherapy group (both p < 0.05); by the 12th day, the tumor volume of the chemotherapy group was also significantly larger than that of the moxibustion plus chemotherapy group (p = 0.041); on the 15th day, the tumor volume of all single-treatment groups was extremely significantly larger than that of the moxibustion plus chemotherapy group (model group vs. combined group: p < 0.001; moxibustion group vs. combined group: p < 0.001; chemotherapy group vs. combined group: p = 0.031). (D) HE staining pathological sections of tumor tissues from each group (upper: low-power field; lower: high-power field of the selected area). (E) Protein expression of FOXP3 and TGF-β1 in tumor tissues. (a) Protein molecular weight standard. (b) Representative results of three independent repeated experiments detected by Western blot. The letters A-E above the bands represent the blank control group, model group, moxibustion group, chemotherapy group, and combined treatment group, respectively. (c–d) Semi-quantitative statistical analysis of FOXP3 (c) and TGF-β1 (d) protein expression. The data were calculated by the ratio of the gray value of the target protein to GAPDH and expressed as mean ± standard deviation. *p < 0.05, **p < 0.01, ***p < 0.001 (α = 0.05).

    Article Snippet: The primary antibodies and their dilution ratios were as follows: rabbit polyclonal antibody against Foxp3 (Bioss, cat. Bs-23074R, lot: AF03154485), diluted 1:1,000; rabbit polyclonal antibody against TGF-β1 (Bioss, cat. Bs-0086R, lot: AG19301,531), diluted 1:2000; mouse monoclonal antibody against GAPDH (Zhongshan Jinqiao, cat. TA-08, lot: 230040220), diluted 1:2000.

    Techniques: Expressing, Staining, Molecular Weight, Western Blot, Control, Standard Deviation

    The effects on the expression of FOXP3+ Treg in the tumor microenvironment and key inhibitory factors in the peripheral blood of mice in each group. (A) Representative flow cytometry dot plots of the proportion of CD4 + CD25+FOXP3+ regulatory T (Treg) cells in the peripheral blood of each group of mice. The cell gating strategy was based on the consensus marker scheme for Treg cell analysis: first, the lymphocyte population was gated, followed by gating of CD4 + T cells and CD25 + cells in sequence, and finally the Treg cell population was determined by FOXP3+ cells. The model group was 7.49%, the moxibustion group was 5.42%, the chemotherapy group was 4.73%, and the moxibustion combined with chemotherapy group was 4.15%. (B) Comparison of CD4 + CD25 + FOXP3 + Treg, TGF-β1 and IL-10 levels in the serum of mice among different groups. A, B, C, and D represent different groups. The expression levels of Treg (%) in the model group, moxibustion group, chemotherapy group, and moxibustion combined with chemotherapy group were 7.02 ± 0.45, 5.59 ± 0.35, 4.73 ± 0.57, and 3.91 ± 0.21, respectively; the expression levels of TGF-β1 (pg/mL) were 547.84 ± 7.25, 325.24 ± 15.03, 322.05 ± 21.91, and 266.82 ± 13.71, respectively; the expression levels of IL-10 (pg/mL) were 127.21 ± 2.07, 101.68 ± 1.42, 84.53 ± 4.25, and 51.42 ± 3.65, respectively.

    Journal: Frontiers in Pharmacology

    Article Title: Moxibustion combined with chemotherapy inhibits gastric cancer growth by modulating the immunosuppressive microenvironment involving the Treg/IL-10/TGF-β1 axis

    doi: 10.3389/fphar.2025.1688182

    Figure Lengend Snippet: The effects on the expression of FOXP3+ Treg in the tumor microenvironment and key inhibitory factors in the peripheral blood of mice in each group. (A) Representative flow cytometry dot plots of the proportion of CD4 + CD25+FOXP3+ regulatory T (Treg) cells in the peripheral blood of each group of mice. The cell gating strategy was based on the consensus marker scheme for Treg cell analysis: first, the lymphocyte population was gated, followed by gating of CD4 + T cells and CD25 + cells in sequence, and finally the Treg cell population was determined by FOXP3+ cells. The model group was 7.49%, the moxibustion group was 5.42%, the chemotherapy group was 4.73%, and the moxibustion combined with chemotherapy group was 4.15%. (B) Comparison of CD4 + CD25 + FOXP3 + Treg, TGF-β1 and IL-10 levels in the serum of mice among different groups. A, B, C, and D represent different groups. The expression levels of Treg (%) in the model group, moxibustion group, chemotherapy group, and moxibustion combined with chemotherapy group were 7.02 ± 0.45, 5.59 ± 0.35, 4.73 ± 0.57, and 3.91 ± 0.21, respectively; the expression levels of TGF-β1 (pg/mL) were 547.84 ± 7.25, 325.24 ± 15.03, 322.05 ± 21.91, and 266.82 ± 13.71, respectively; the expression levels of IL-10 (pg/mL) were 127.21 ± 2.07, 101.68 ± 1.42, 84.53 ± 4.25, and 51.42 ± 3.65, respectively.

    Article Snippet: The primary antibodies and their dilution ratios were as follows: rabbit polyclonal antibody against Foxp3 (Bioss, cat. Bs-23074R, lot: AF03154485), diluted 1:1,000; rabbit polyclonal antibody against TGF-β1 (Bioss, cat. Bs-0086R, lot: AG19301,531), diluted 1:2000; mouse monoclonal antibody against GAPDH (Zhongshan Jinqiao, cat. TA-08, lot: 230040220), diluted 1:2000.

    Techniques: Expressing, Flow Cytometry, Marker, Cell Analysis, Sequencing, Comparison

    ( A ) CD4 + T cell immune balance detection. Th1 and Th2 cells were detected simultaneously by flow cytometry. Th1 cells were labeled with CD4 + IFN-γ + (PerCP-CyTM5.5 mouse anti-pig CD4α, Alexa Fluor 647 mouse anti-pig IFN-γ), and Th2 cells were labeled with CD4 + GATA3 + (PerCP-CyTM5.5 mouse anti-pig CD4α, Gata-3 monoclonal antibody [TWAJ], PE). ( B ) Th17 cells were detected by flow cytometry. They were labeled with CD4 + IL-17A + (PerCP-CyTM5.5 mouse anti-pig CD4α, PE mouse anti-human IL-17A). ( C ) Treg cells were detected by flow cytometry. They were labeled with CD4 + CD25 + Foxp3 + (PerCP-CyTM5.5 mouse anti-pig CD4α, Alexa Fluor 647 mouse anti-pig CD25, FOXP3 monoclonal antibody (FJK-16s), PE). Dynamic changes in Th1 ( D ) and Th2 ( E ) cell frequencies were quantitatively analyzed at various time points following PCV2 infection. ( F ) Th1/Th2 immune balance analysis. The frequencies of Th17 ( G ) and Treg ( H ) cells in piglets were measured at different time points during PCV2 infection. ( I ) Th17/Treg immune balance analysis.

    Journal: mBio

    Article Title: PCV2 infection induces the differentiation of Treg cells via the TGF-β/Smad3 pathway

    doi: 10.1128/mbio.01366-25

    Figure Lengend Snippet: ( A ) CD4 + T cell immune balance detection. Th1 and Th2 cells were detected simultaneously by flow cytometry. Th1 cells were labeled with CD4 + IFN-γ + (PerCP-CyTM5.5 mouse anti-pig CD4α, Alexa Fluor 647 mouse anti-pig IFN-γ), and Th2 cells were labeled with CD4 + GATA3 + (PerCP-CyTM5.5 mouse anti-pig CD4α, Gata-3 monoclonal antibody [TWAJ], PE). ( B ) Th17 cells were detected by flow cytometry. They were labeled with CD4 + IL-17A + (PerCP-CyTM5.5 mouse anti-pig CD4α, PE mouse anti-human IL-17A). ( C ) Treg cells were detected by flow cytometry. They were labeled with CD4 + CD25 + Foxp3 + (PerCP-CyTM5.5 mouse anti-pig CD4α, Alexa Fluor 647 mouse anti-pig CD25, FOXP3 monoclonal antibody (FJK-16s), PE). Dynamic changes in Th1 ( D ) and Th2 ( E ) cell frequencies were quantitatively analyzed at various time points following PCV2 infection. ( F ) Th1/Th2 immune balance analysis. The frequencies of Th17 ( G ) and Treg ( H ) cells in piglets were measured at different time points during PCV2 infection. ( I ) Th17/Treg immune balance analysis.

    Article Snippet: Beta actin monoclonal antibody (66009-1-Ig), FOXP3 polyclonal antibody (22229-a-AP), and Smad3 monoclonal antibody (66516-1-Ig) were purchased from Proteintech.

    Techniques: Flow Cytometry, Labeling, Infection

    ( A ) PCV2 infection induced Treg cell differentiation through the TGF-β/Smad3 pathway. Detection of the mRNA levels of IL-2 and TGF-β. PBMCs were isolated from peripheral blood at multiple time points post-challenge, and the mRNA expression levels were quantified by qPCR. ( B ) Detection of the expression levels of IL-2 and TGF-β. All animals were euthanized at 35 dpi, and cytokine levels were measured by ELISA. ( C ) The frequency of Treg cells. T cells were stimulated with various cytokines and analyzed for Treg cell frequency by flow cytometry. Unless otherwise specified, T cell stimulations lasted five days in vitro . ( D ) The MFI of Foxp3 in CD4 + Foxp3 + double-positive cells. Foxp3 expression in Treg cells was quantified by calculating the arithmetic MFI using flow cytometry. ( E ) The subcellular localization of Smad3 in Treg cells. ( F ) Detection of phosphorylation level of Smad3. Total proteins were extracted from T cells and analyzed by Western blot for target protein expression. ( G ) pGL3-promoter-Foxp3 schematic diagram. ( H ) The double luciferase assay. The assay was used to investigate the effect of Smad3 on the activity of the Foxp3 enhancer. ( I ) Quantification of Foxp3 mRNA expression levels. ( J ) The frequency of Treg cells. ( K ) The MFI of Foxp3 in CD4 + Foxp3 + double-positive cells.

    Journal: mBio

    Article Title: PCV2 infection induces the differentiation of Treg cells via the TGF-β/Smad3 pathway

    doi: 10.1128/mbio.01366-25

    Figure Lengend Snippet: ( A ) PCV2 infection induced Treg cell differentiation through the TGF-β/Smad3 pathway. Detection of the mRNA levels of IL-2 and TGF-β. PBMCs were isolated from peripheral blood at multiple time points post-challenge, and the mRNA expression levels were quantified by qPCR. ( B ) Detection of the expression levels of IL-2 and TGF-β. All animals were euthanized at 35 dpi, and cytokine levels were measured by ELISA. ( C ) The frequency of Treg cells. T cells were stimulated with various cytokines and analyzed for Treg cell frequency by flow cytometry. Unless otherwise specified, T cell stimulations lasted five days in vitro . ( D ) The MFI of Foxp3 in CD4 + Foxp3 + double-positive cells. Foxp3 expression in Treg cells was quantified by calculating the arithmetic MFI using flow cytometry. ( E ) The subcellular localization of Smad3 in Treg cells. ( F ) Detection of phosphorylation level of Smad3. Total proteins were extracted from T cells and analyzed by Western blot for target protein expression. ( G ) pGL3-promoter-Foxp3 schematic diagram. ( H ) The double luciferase assay. The assay was used to investigate the effect of Smad3 on the activity of the Foxp3 enhancer. ( I ) Quantification of Foxp3 mRNA expression levels. ( J ) The frequency of Treg cells. ( K ) The MFI of Foxp3 in CD4 + Foxp3 + double-positive cells.

    Article Snippet: Beta actin monoclonal antibody (66009-1-Ig), FOXP3 polyclonal antibody (22229-a-AP), and Smad3 monoclonal antibody (66516-1-Ig) were purchased from Proteintech.

    Techniques: Infection, Cell Differentiation, Isolation, Expressing, Enzyme-linked Immunosorbent Assay, Flow Cytometry, In Vitro, Phospho-proteomics, Western Blot, Luciferase, Activity Assay

    PCV2-infected cells co-cultured with T cells promoted the differentiation of Treg cells. After 48 hpi, the levels of TGF-β mRNA ( A ) and protein ( B ) were detected. ( C ) Co-culture model with T cells. ( D ) The frequency of Treg cells. T cells were co-cultured for three days with PCV2-infected host cells (with inhibitors added as required). The quantity of Treg cells was determined under different treatments. ( E ) The MFI of Foxp3 in CD4 + Foxp3 + double-positive cells. Foxp3 expression in Treg cells was quantified by calculating the arithmetic MFI using flow cytometry.

    Journal: mBio

    Article Title: PCV2 infection induces the differentiation of Treg cells via the TGF-β/Smad3 pathway

    doi: 10.1128/mbio.01366-25

    Figure Lengend Snippet: PCV2-infected cells co-cultured with T cells promoted the differentiation of Treg cells. After 48 hpi, the levels of TGF-β mRNA ( A ) and protein ( B ) were detected. ( C ) Co-culture model with T cells. ( D ) The frequency of Treg cells. T cells were co-cultured for three days with PCV2-infected host cells (with inhibitors added as required). The quantity of Treg cells was determined under different treatments. ( E ) The MFI of Foxp3 in CD4 + Foxp3 + double-positive cells. Foxp3 expression in Treg cells was quantified by calculating the arithmetic MFI using flow cytometry.

    Article Snippet: Beta actin monoclonal antibody (66009-1-Ig), FOXP3 polyclonal antibody (22229-a-AP), and Smad3 monoclonal antibody (66516-1-Ig) were purchased from Proteintech.

    Techniques: Infection, Cell Culture, Co-Culture Assay, Expressing, Flow Cytometry

    The schematic diagram indicates that PCV2 infection induces the differentiation of Treg cells via the TGF-β/Smad3 pathway. PCV2 infection markedly enhances TGF-β secretion from host cells, subsequently activating the Smad3 signaling pathway in T cells. Phosphorylated Smad3 translocates into the nucleus, specifically binds to the Foxp3 gene enhancer region, and significantly increases Foxp3 transcription, ultimately promoting Treg cell differentiation. Notably, treatment with the Smad3-specific inhibitor SIS3 and TGF-β receptor inhibitor SB-431542 effectively inhibits Treg differentiation, confirming the crucial role of this pathway in PCV2-induced Treg cell differentiation.

    Journal: mBio

    Article Title: PCV2 infection induces the differentiation of Treg cells via the TGF-β/Smad3 pathway

    doi: 10.1128/mbio.01366-25

    Figure Lengend Snippet: The schematic diagram indicates that PCV2 infection induces the differentiation of Treg cells via the TGF-β/Smad3 pathway. PCV2 infection markedly enhances TGF-β secretion from host cells, subsequently activating the Smad3 signaling pathway in T cells. Phosphorylated Smad3 translocates into the nucleus, specifically binds to the Foxp3 gene enhancer region, and significantly increases Foxp3 transcription, ultimately promoting Treg cell differentiation. Notably, treatment with the Smad3-specific inhibitor SIS3 and TGF-β receptor inhibitor SB-431542 effectively inhibits Treg differentiation, confirming the crucial role of this pathway in PCV2-induced Treg cell differentiation.

    Article Snippet: Beta actin monoclonal antibody (66009-1-Ig), FOXP3 polyclonal antibody (22229-a-AP), and Smad3 monoclonal antibody (66516-1-Ig) were purchased from Proteintech.

    Techniques: Infection, Cell Differentiation