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rabbit cd3  (Proteintech)


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    Structured Review

    Proteintech rabbit cd3
    (A) Schematic overview of the experimental workflow for blood collection and processing samples from sepsis patients (SPs) and healthy donors (HDs). (B) Volcano plots showing cytokine secretion in plasma from SPs versus HDs, generated by plotting log 2 fold change against −log 10 FDR-adjusted p values (q < 0.05); cytokines decreased in SPs are shown in light blue and increased cytokines in red. (C) Quantification of selected cytokines in plasma from HDs and SPs is shown on graphs. Statistical significance for (B) and (C) was assessed using multiple unpaired t -tests ( p < 0.05, * p < 0.01, ** p < 0.001). (D) Representative immunoblots of PBMCs from HDs and SPs (n = 10 per group) showing expression of T cell–associated markers (CD3ε, CD8α) and the monocyte marker CD14. (E) Densitometric quantification of protein expression normalized to β-tubulin and presented as relative expression levels; statistical significance was assessed using a nonparametric unpaired test ( p < 0.05).
    Rabbit Cd3, supplied by Proteintech, used in various techniques. Bioz Stars score: 96/100, based on 271 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/rabbit cd3/product/Proteintech
    Average 96 stars, based on 271 article reviews
    rabbit cd3 - by Bioz Stars, 2026-02
    96/100 stars

    Images

    1) Product Images from "SLAMF1-peptide mediated epigenetic priming reprograms innate immune responses in sepsis"

    Article Title: SLAMF1-peptide mediated epigenetic priming reprograms innate immune responses in sepsis

    Journal: bioRxiv

    doi: 10.64898/2025.12.29.696918

    (A) Schematic overview of the experimental workflow for blood collection and processing samples from sepsis patients (SPs) and healthy donors (HDs). (B) Volcano plots showing cytokine secretion in plasma from SPs versus HDs, generated by plotting log 2 fold change against −log 10 FDR-adjusted p values (q < 0.05); cytokines decreased in SPs are shown in light blue and increased cytokines in red. (C) Quantification of selected cytokines in plasma from HDs and SPs is shown on graphs. Statistical significance for (B) and (C) was assessed using multiple unpaired t -tests ( p < 0.05, * p < 0.01, ** p < 0.001). (D) Representative immunoblots of PBMCs from HDs and SPs (n = 10 per group) showing expression of T cell–associated markers (CD3ε, CD8α) and the monocyte marker CD14. (E) Densitometric quantification of protein expression normalized to β-tubulin and presented as relative expression levels; statistical significance was assessed using a nonparametric unpaired test ( p < 0.05).
    Figure Legend Snippet: (A) Schematic overview of the experimental workflow for blood collection and processing samples from sepsis patients (SPs) and healthy donors (HDs). (B) Volcano plots showing cytokine secretion in plasma from SPs versus HDs, generated by plotting log 2 fold change against −log 10 FDR-adjusted p values (q < 0.05); cytokines decreased in SPs are shown in light blue and increased cytokines in red. (C) Quantification of selected cytokines in plasma from HDs and SPs is shown on graphs. Statistical significance for (B) and (C) was assessed using multiple unpaired t -tests ( p < 0.05, * p < 0.01, ** p < 0.001). (D) Representative immunoblots of PBMCs from HDs and SPs (n = 10 per group) showing expression of T cell–associated markers (CD3ε, CD8α) and the monocyte marker CD14. (E) Densitometric quantification of protein expression normalized to β-tubulin and presented as relative expression levels; statistical significance was assessed using a nonparametric unpaired test ( p < 0.05).

    Techniques Used: Clinical Proteomics, Generated, Western Blot, Expressing, Marker



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    (A) Schematic overview of the experimental workflow for blood collection and processing samples from sepsis patients (SPs) and healthy donors (HDs). (B) Volcano plots showing cytokine secretion in plasma from SPs versus HDs, generated by plotting log 2 fold change against −log 10 FDR-adjusted p values (q < 0.05); cytokines decreased in SPs are shown in light blue and increased cytokines in red. (C) Quantification of selected cytokines in plasma from HDs and SPs is shown on graphs. Statistical significance for (B) and (C) was assessed using multiple unpaired t -tests ( p < 0.05, * p < 0.01, ** p < 0.001). (D) Representative immunoblots of PBMCs from HDs and SPs (n = 10 per group) showing expression of T cell–associated markers (CD3ε, CD8α) and the monocyte marker CD14. (E) Densitometric quantification of protein expression normalized to β-tubulin and presented as relative expression levels; statistical significance was assessed using a nonparametric unpaired test ( p < 0.05).
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    Image Search Results


    (A) Schematic overview of the experimental workflow for blood collection and processing samples from sepsis patients (SPs) and healthy donors (HDs). (B) Volcano plots showing cytokine secretion in plasma from SPs versus HDs, generated by plotting log 2 fold change against −log 10 FDR-adjusted p values (q < 0.05); cytokines decreased in SPs are shown in light blue and increased cytokines in red. (C) Quantification of selected cytokines in plasma from HDs and SPs is shown on graphs. Statistical significance for (B) and (C) was assessed using multiple unpaired t -tests ( p < 0.05, * p < 0.01, ** p < 0.001). (D) Representative immunoblots of PBMCs from HDs and SPs (n = 10 per group) showing expression of T cell–associated markers (CD3ε, CD8α) and the monocyte marker CD14. (E) Densitometric quantification of protein expression normalized to β-tubulin and presented as relative expression levels; statistical significance was assessed using a nonparametric unpaired test ( p < 0.05).

    Journal: bioRxiv

    Article Title: SLAMF1-peptide mediated epigenetic priming reprograms innate immune responses in sepsis

    doi: 10.64898/2025.12.29.696918

    Figure Lengend Snippet: (A) Schematic overview of the experimental workflow for blood collection and processing samples from sepsis patients (SPs) and healthy donors (HDs). (B) Volcano plots showing cytokine secretion in plasma from SPs versus HDs, generated by plotting log 2 fold change against −log 10 FDR-adjusted p values (q < 0.05); cytokines decreased in SPs are shown in light blue and increased cytokines in red. (C) Quantification of selected cytokines in plasma from HDs and SPs is shown on graphs. Statistical significance for (B) and (C) was assessed using multiple unpaired t -tests ( p < 0.05, * p < 0.01, ** p < 0.001). (D) Representative immunoblots of PBMCs from HDs and SPs (n = 10 per group) showing expression of T cell–associated markers (CD3ε, CD8α) and the monocyte marker CD14. (E) Densitometric quantification of protein expression normalized to β-tubulin and presented as relative expression levels; statistical significance was assessed using a nonparametric unpaired test ( p < 0.05).

    Article Snippet: The following primary antibodies were used: mouse β-tubulin (D3U1W, #86298), STAT1 (9H2, #9176), rabbit histone H3 (D1H2, #4499), H3K9ac (acetyl-histone H3 Lys9, C5B11, #9649), H3K27ac (acetyl-histone H3 Lys27, D5E4, #8173), H3K56ac (acetyl-histone H3 Lys56, #4243), H4K5ac (acetyl-histone H4 Lys5, D12B3, #8647), H4K12ac (acetyl-histone H4 Lys12, D2W60, #13944), phospho-STAT1 (Tyr701) (58D6, #9167) from Cell Signaling Technology (Danvers, MA, USA); mouse CD8a (1G2B10, #66868-1-Ig), rabbit CD3 (#17617-1-AP), CD14 (#17000-1-AP) were from Proteintech (); acetylated lysine mouse monoclonal Abs (MA1-2021) were from Invitrogen (Themo Fisher Scientific,); rabbit anti-ABHD14B (in-house, Pune, India) [refs].

    Techniques: Clinical Proteomics, Generated, Western Blot, Expressing, Marker

    Immunohistochemical and flow cytometric analysis of gastric cancer tissue. (A) H&E histochemical staining of tumor-free area (left), tumor margin (middle), and gastric tumor site (right). (B) Representative IHC images for CD3 + , CD4 + , CD8 + , FOXP3, OX40, and OX40L in tumor-free area (left column), tumor margin (middle column), and gastric tumor site (right column) sections. (C) Immunofluorescence staining for the co-expression of CD3 + and OX40 in gastric cancer with anti-CD3 and anti-OX40 antibodies and DAPI for nuclear staining. (D) Flow cytometry analysis of OX40 expression in CD3 cells obtained from PBMC of gastric cancer patients (upper panel) and OX40 expression on CD3 on TILs in gastric cancer patients (low panel). Statistical analysis of all data were performed using one-way ANOVA. Data are shown as mean ± standard deviation. ns, nonsignificant; *, P<0.05; ***, P<0.001. ANOVA, analysis of variance; DAPI, 4',6-diamidino-2-phenylindole; H&E, hematoxylin & eosin; IHC, immunohistochemistry; OX40L, OX40 ligand; PBMC, peripheral blood mononuclear cells; TILs, tumor-infiltrating lymphocytes.

    Journal: Translational Cancer Research

    Article Title: OX40L and IL-2 combination strategy for gastric cancer immunotherapy

    doi: 10.21037/tcr-2025-707

    Figure Lengend Snippet: Immunohistochemical and flow cytometric analysis of gastric cancer tissue. (A) H&E histochemical staining of tumor-free area (left), tumor margin (middle), and gastric tumor site (right). (B) Representative IHC images for CD3 + , CD4 + , CD8 + , FOXP3, OX40, and OX40L in tumor-free area (left column), tumor margin (middle column), and gastric tumor site (right column) sections. (C) Immunofluorescence staining for the co-expression of CD3 + and OX40 in gastric cancer with anti-CD3 and anti-OX40 antibodies and DAPI for nuclear staining. (D) Flow cytometry analysis of OX40 expression in CD3 cells obtained from PBMC of gastric cancer patients (upper panel) and OX40 expression on CD3 on TILs in gastric cancer patients (low panel). Statistical analysis of all data were performed using one-way ANOVA. Data are shown as mean ± standard deviation. ns, nonsignificant; *, P<0.05; ***, P<0.001. ANOVA, analysis of variance; DAPI, 4',6-diamidino-2-phenylindole; H&E, hematoxylin & eosin; IHC, immunohistochemistry; OX40L, OX40 ligand; PBMC, peripheral blood mononuclear cells; TILs, tumor-infiltrating lymphocytes.

    Article Snippet: Immunohistochemistry (IHC) analyses were performed using specific primary rabbit anti-human CD3 monoclonal antibody (Proteintech Group, Wuhan, China), mouse anti-human OX40 and rabbit anti-human OX40L monoclonal antibodies (CST, Danvers, MA, USA), and rabbit anti-human CD4 (Proteintech Group, Wuhan, China), mouse anti-human CD8 (Proteintech Group, Wuhan, China) antibody, rabbit anti-human FOXP3 monoclonal antibodies (CST, Danvers, MA, USA).

    Techniques: Immunohistochemical staining, Staining, Immunofluorescence, Expressing, Flow Cytometry, Standard Deviation, Immunohistochemistry

    Immunohistochemical analyses of Caspase 3, Caspase 9, CD3, CD4 and CD8 for tumor tissues (Scale bars 50 μm). (Group1: Control, Group2: DENV, Group3: cRGD-DENV/miR-375, Group4: aPD-L1, Group5: cRGD-DENV-aPD-L1, Group6: cRGD-DENV-aPD-L1/miR-375).

    Journal: Non-coding RNA Research

    Article Title: Exosome-like nanovesicles from Dunaliella salina efficient sequential Co-delivery of anti-PDL1 and miR-375 for enhancing gene/immune therapy

    doi: 10.1016/j.ncrna.2025.08.007

    Figure Lengend Snippet: Immunohistochemical analyses of Caspase 3, Caspase 9, CD3, CD4 and CD8 for tumor tissues (Scale bars 50 μm). (Group1: Control, Group2: DENV, Group3: cRGD-DENV/miR-375, Group4: aPD-L1, Group5: cRGD-DENV-aPD-L1, Group6: cRGD-DENV-aPD-L1/miR-375).

    Article Snippet: Rabbit anti-CD3 antibody was obtained from Proteintech (Wuhan, China), and anti-CD4 antibody and anti-CD8 antibody were purchased from Abcam (Shanghai, China).

    Techniques: Immunohistochemical staining, Control