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Miltenyi Biotec cd68 antibody, anti-mouse
Cd68 Antibody, Anti Mouse, supplied by Miltenyi Biotec, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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NSJ Bioreagents cd68 antibody
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Arigo Biolaboratories mouse anti cd68
Mouse Anti Cd68, supplied by Arigo Biolaboratories, 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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Proteintech cd68
The cellular uptake and anti-inflammatory effect of HPSL in vitro . (A) Flow cytometry analysis and (B) semi-quantitative analysis of cellular uptake of PSL and blank NPs by M1 macrophages. n = 3. (C) Representative Giemsa staining images of LPS and high glucose-stimulated RAW 264.7 cells with different formulations, scale bar = 50 μm. (D) Immunofluorescence staining and semi-quantitative analysis of <t>CD68</t> (red) and iNOS (green) in RAW 264.7 cells from different treatment groups, scale bar = 50 μm. n = 6. (E) Immunofluorescence staining and semi-quantitative analysis of CD68 (green) and Arg-1 (red) in RAW 264.7 cells from different treatment groups, scale bar = 50 μm. n = 6. Western blotting analysis and corresponding semi-quantitative analysis of (F) STING/ p -STING, (G) TBK1/ p -TBK1, (H) IRF3/ p -IRF3, (I) NF-κB, (J) TNF-α, and (K) IL-6, Lane 1: Normal group, Lane 2: Model group, Lane 3: PSL group, Lane 4: Free H151 group, Lane 5: HPSL group. n = 3. All data are shown as mean ± SEM.
Cd68, supplied by Proteintech, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Bio-Rad rat cd68
The cellular uptake and anti-inflammatory effect of HPSL in vitro . (A) Flow cytometry analysis and (B) semi-quantitative analysis of cellular uptake of PSL and blank NPs by M1 macrophages. n = 3. (C) Representative Giemsa staining images of LPS and high glucose-stimulated RAW 264.7 cells with different formulations, scale bar = 50 μm. (D) Immunofluorescence staining and semi-quantitative analysis of <t>CD68</t> (red) and iNOS (green) in RAW 264.7 cells from different treatment groups, scale bar = 50 μm. n = 6. (E) Immunofluorescence staining and semi-quantitative analysis of CD68 (green) and Arg-1 (red) in RAW 264.7 cells from different treatment groups, scale bar = 50 μm. n = 6. Western blotting analysis and corresponding semi-quantitative analysis of (F) STING/ p -STING, (G) TBK1/ p -TBK1, (H) IRF3/ p -IRF3, (I) NF-κB, (J) TNF-α, and (K) IL-6, Lane 1: Normal group, Lane 2: Model group, Lane 3: PSL group, Lane 4: Free H151 group, Lane 5: HPSL group. n = 3. All data are shown as mean ± SEM.
Rat Cd68, supplied by Bio-Rad, 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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Affinity Biosciences antibodies against cd68
The cellular uptake and anti-inflammatory effect of HPSL in vitro . (A) Flow cytometry analysis and (B) semi-quantitative analysis of cellular uptake of PSL and blank NPs by M1 macrophages. n = 3. (C) Representative Giemsa staining images of LPS and high glucose-stimulated RAW 264.7 cells with different formulations, scale bar = 50 μm. (D) Immunofluorescence staining and semi-quantitative analysis of <t>CD68</t> (red) and iNOS (green) in RAW 264.7 cells from different treatment groups, scale bar = 50 μm. n = 6. (E) Immunofluorescence staining and semi-quantitative analysis of CD68 (green) and Arg-1 (red) in RAW 264.7 cells from different treatment groups, scale bar = 50 μm. n = 6. Western blotting analysis and corresponding semi-quantitative analysis of (F) STING/ p -STING, (G) TBK1/ p -TBK1, (H) IRF3/ p -IRF3, (I) NF-κB, (J) TNF-α, and (K) IL-6, Lane 1: Normal group, Lane 2: Model group, Lane 3: PSL group, Lane 4: Free H151 group, Lane 5: HPSL group. n = 3. All data are shown as mean ± SEM.
Antibodies Against Cd68, supplied by Affinity Biosciences, 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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Servicebio Inc anti cd68
The cellular uptake and anti-inflammatory effect of HPSL in vitro . (A) Flow cytometry analysis and (B) semi-quantitative analysis of cellular uptake of PSL and blank NPs by M1 macrophages. n = 3. (C) Representative Giemsa staining images of LPS and high glucose-stimulated RAW 264.7 cells with different formulations, scale bar = 50 μm. (D) Immunofluorescence staining and semi-quantitative analysis of <t>CD68</t> (red) and iNOS (green) in RAW 264.7 cells from different treatment groups, scale bar = 50 μm. n = 6. (E) Immunofluorescence staining and semi-quantitative analysis of CD68 (green) and Arg-1 (red) in RAW 264.7 cells from different treatment groups, scale bar = 50 μm. n = 6. Western blotting analysis and corresponding semi-quantitative analysis of (F) STING/ p -STING, (G) TBK1/ p -TBK1, (H) IRF3/ p -IRF3, (I) NF-κB, (J) TNF-α, and (K) IL-6, Lane 1: Normal group, Lane 2: Model group, Lane 3: PSL group, Lane 4: Free H151 group, Lane 5: HPSL group. n = 3. All data are shown as mean ± SEM.
Anti Cd68, supplied by Servicebio 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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Servicebio Inc human cd68
The study design is presented in six sequential steps. (1) Patient enrollment: a total of 1228 patients with gastric cancer who underwent curative gastrectomy between 2016 and 2020 were screened according to predefined inclusion and exclusion criteria. (2) PSM-based cohort construction: to reduce baseline imbalance between MLM and non-MLM groups, 1:2 propensity score matching (PSM) was performed, resulting in a matched cohort of 233 patients (86 MLM and 147 non-MLM cases). (3) Tissue staining and digitalization: formalin-fixed paraffin-embedded sections were stained with <t>CD68</t> and CD163 antibodies, followed by whole-slide scanning. (4) QuPath-based digital pathology: tissue segmentation and annotation were performed in QuPath, and artificial neural network (ANN) learning was applied to extract macrophage morphological features (area and perimeter) in different histological regions. (5) Model development: the matched cohort was randomly divided into a 70% training set and a 30% validation set, and a predictive nomogram was constructed based on macrophage morphological parameters. (6) Model evaluation: the performance of the nomogram was assessed using receiver operating characteristic (ROC) analysis, calibration curves, and decision curve analysis (DCA). MLM, metachronous liver metastasis; IHC, immunohistochemistry.
Human Cd68, supplied by Servicebio 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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Elabscience Biotechnology anti cd68 antibody
MMP12 silencing inhibited M2 macrophage polarization. THP-1 cells were differentiated into M0 macrophages (THP-1 M0) by treatment with 100 ng/mL PMA for 24 h. (A) Flow cytometry was used to quantify the number of <t>CD68-positive</t> cells. Subsequently, KYSE150 cells were co-cultured with the THP-1-derived macrophages using a Transwell system. (B) The mRNA levels of IL-10, Arg-1, and TGF-β were detected by qRT-PCR. (C) Flow cytometry was used to quantify the number of CD206-positive macrophages. (D) Cell migration analysis by transwell migration assay. ∗ P < 0.05, ∗∗ P < 0.01 and ∗∗∗ P < 0.001.
Anti Cd68 Antibody, supplied by Elabscience Biotechnology, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


The cellular uptake and anti-inflammatory effect of HPSL in vitro . (A) Flow cytometry analysis and (B) semi-quantitative analysis of cellular uptake of PSL and blank NPs by M1 macrophages. n = 3. (C) Representative Giemsa staining images of LPS and high glucose-stimulated RAW 264.7 cells with different formulations, scale bar = 50 μm. (D) Immunofluorescence staining and semi-quantitative analysis of CD68 (red) and iNOS (green) in RAW 264.7 cells from different treatment groups, scale bar = 50 μm. n = 6. (E) Immunofluorescence staining and semi-quantitative analysis of CD68 (green) and Arg-1 (red) in RAW 264.7 cells from different treatment groups, scale bar = 50 μm. n = 6. Western blotting analysis and corresponding semi-quantitative analysis of (F) STING/ p -STING, (G) TBK1/ p -TBK1, (H) IRF3/ p -IRF3, (I) NF-κB, (J) TNF-α, and (K) IL-6, Lane 1: Normal group, Lane 2: Model group, Lane 3: PSL group, Lane 4: Free H151 group, Lane 5: HPSL group. n = 3. All data are shown as mean ± SEM.

Journal: Bioactive Materials

Article Title: Glucose/ROS-responsive and redox-gated adaptive hydrogel dressing for accelerating diabetic wound repair via synergistic cGAS/STING pathway inhibition and oxidative stress alleviation

doi: 10.1016/j.bioactmat.2026.03.025

Figure Lengend Snippet: The cellular uptake and anti-inflammatory effect of HPSL in vitro . (A) Flow cytometry analysis and (B) semi-quantitative analysis of cellular uptake of PSL and blank NPs by M1 macrophages. n = 3. (C) Representative Giemsa staining images of LPS and high glucose-stimulated RAW 264.7 cells with different formulations, scale bar = 50 μm. (D) Immunofluorescence staining and semi-quantitative analysis of CD68 (red) and iNOS (green) in RAW 264.7 cells from different treatment groups, scale bar = 50 μm. n = 6. (E) Immunofluorescence staining and semi-quantitative analysis of CD68 (green) and Arg-1 (red) in RAW 264.7 cells from different treatment groups, scale bar = 50 μm. n = 6. Western blotting analysis and corresponding semi-quantitative analysis of (F) STING/ p -STING, (G) TBK1/ p -TBK1, (H) IRF3/ p -IRF3, (I) NF-κB, (J) TNF-α, and (K) IL-6, Lane 1: Normal group, Lane 2: Model group, Lane 3: PSL group, Lane 4: Free H151 group, Lane 5: HPSL group. n = 3. All data are shown as mean ± SEM.

Article Snippet: CD68-specific antibodies were purchased from Proteintech Group, Inc. (Wuhan, China).

Techniques: In Vitro, Flow Cytometry, Staining, Immunofluorescence, Western Blot

The study design is presented in six sequential steps. (1) Patient enrollment: a total of 1228 patients with gastric cancer who underwent curative gastrectomy between 2016 and 2020 were screened according to predefined inclusion and exclusion criteria. (2) PSM-based cohort construction: to reduce baseline imbalance between MLM and non-MLM groups, 1:2 propensity score matching (PSM) was performed, resulting in a matched cohort of 233 patients (86 MLM and 147 non-MLM cases). (3) Tissue staining and digitalization: formalin-fixed paraffin-embedded sections were stained with CD68 and CD163 antibodies, followed by whole-slide scanning. (4) QuPath-based digital pathology: tissue segmentation and annotation were performed in QuPath, and artificial neural network (ANN) learning was applied to extract macrophage morphological features (area and perimeter) in different histological regions. (5) Model development: the matched cohort was randomly divided into a 70% training set and a 30% validation set, and a predictive nomogram was constructed based on macrophage morphological parameters. (6) Model evaluation: the performance of the nomogram was assessed using receiver operating characteristic (ROC) analysis, calibration curves, and decision curve analysis (DCA). MLM, metachronous liver metastasis; IHC, immunohistochemistry.

Journal: Frontiers in Immunology

Article Title: Macrophage morphology in the tumor microenvironment predicts metachronous liver metastasis in gastric cancer: establishment and validation of a predictive model

doi: 10.3389/fimmu.2026.1770436

Figure Lengend Snippet: The study design is presented in six sequential steps. (1) Patient enrollment: a total of 1228 patients with gastric cancer who underwent curative gastrectomy between 2016 and 2020 were screened according to predefined inclusion and exclusion criteria. (2) PSM-based cohort construction: to reduce baseline imbalance between MLM and non-MLM groups, 1:2 propensity score matching (PSM) was performed, resulting in a matched cohort of 233 patients (86 MLM and 147 non-MLM cases). (3) Tissue staining and digitalization: formalin-fixed paraffin-embedded sections were stained with CD68 and CD163 antibodies, followed by whole-slide scanning. (4) QuPath-based digital pathology: tissue segmentation and annotation were performed in QuPath, and artificial neural network (ANN) learning was applied to extract macrophage morphological features (area and perimeter) in different histological regions. (5) Model development: the matched cohort was randomly divided into a 70% training set and a 30% validation set, and a predictive nomogram was constructed based on macrophage morphological parameters. (6) Model evaluation: the performance of the nomogram was assessed using receiver operating characteristic (ROC) analysis, calibration curves, and decision curve analysis (DCA). MLM, metachronous liver metastasis; IHC, immunohistochemistry.

Article Snippet: Subsequently, the slides were incubated overnight at 4 °C with primary antibodies targeting human CD68 (1:500, Servicebio, China) and CD163 (1:500, Servicebio, China).

Techniques: Staining, Formalin-fixed Paraffin-Embedded, Biomarker Discovery, Construct, Immunohistochemistry

MMP12 silencing inhibited M2 macrophage polarization. THP-1 cells were differentiated into M0 macrophages (THP-1 M0) by treatment with 100 ng/mL PMA for 24 h. (A) Flow cytometry was used to quantify the number of CD68-positive cells. Subsequently, KYSE150 cells were co-cultured with the THP-1-derived macrophages using a Transwell system. (B) The mRNA levels of IL-10, Arg-1, and TGF-β were detected by qRT-PCR. (C) Flow cytometry was used to quantify the number of CD206-positive macrophages. (D) Cell migration analysis by transwell migration assay. ∗ P < 0.05, ∗∗ P < 0.01 and ∗∗∗ P < 0.001.

Journal: Regenerative Therapy

Article Title: WTAP stabilizes MMP12 expression to promote the malignant phenotypes of esophageal cancer cells

doi: 10.1016/j.reth.2026.101101

Figure Lengend Snippet: MMP12 silencing inhibited M2 macrophage polarization. THP-1 cells were differentiated into M0 macrophages (THP-1 M0) by treatment with 100 ng/mL PMA for 24 h. (A) Flow cytometry was used to quantify the number of CD68-positive cells. Subsequently, KYSE150 cells were co-cultured with the THP-1-derived macrophages using a Transwell system. (B) The mRNA levels of IL-10, Arg-1, and TGF-β were detected by qRT-PCR. (C) Flow cytometry was used to quantify the number of CD206-positive macrophages. (D) Cell migration analysis by transwell migration assay. ∗ P < 0.05, ∗∗ P < 0.01 and ∗∗∗ P < 0.001.

Article Snippet: For immunophenotyping, single-cell suspensions of both THP-1 and THP-1-M0 cells were labeled with an anti-CD68 antibody (E-AB-F1299L, Elabscience, Wuhan, China).

Techniques: Flow Cytometry, Cell Culture, Derivative Assay, Quantitative RT-PCR, Migration, Transwell Migration Assay