cd82 Search Results


93
Miltenyi Biotec apc conjugated anti cd82
Apc Conjugated Anti Cd82, supplied by Miltenyi Biotec, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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R&D Systems mouse anti cpm antibody
Mouse Anti Cpm Antibody, supplied by R&D Systems, used in various techniques. Bioz Stars score: 92/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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93
Novus Biologicals cd82
Cd82, supplied by Novus Biologicals, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 93 stars, based on 1 article reviews
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94
R&D Systems apc anti cd82
Apc Anti Cd82, supplied by R&D Systems, 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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R&D Systems facs apc anti cd82
Facs Apc Anti Cd82, supplied by R&D Systems, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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85
Diaclone ts82b
Ts82b, supplied by Diaclone, used in various techniques. Bioz Stars score: 85/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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93
Proteintech cd82
Expression distribution of <t>CD82</t> in CD8 + T cell subsets analyzed by scRNA-seq. (A) UMAP visualization of cell types based on scRNA-seq data obtained from the GEO database. (B) Dot plot illustrating CD82 expression levels across different cell types in tumor and normal tissues from patients with colon cancer. (C) UMAP visualization of CD8 + T cell subsets based on scRNA-seq data obtained from the GEO database. (D) Dot plot illustrating CD82 expression levels across distinct CD8 + T cell subsets in tumor and normal tissues from patients with colon cancer.
Cd82, supplied by Proteintech, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/cd82/product/Proteintech
Average 93 stars, based on 1 article reviews
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Rockland Immunochemicals x y z stage
Expression distribution of <t>CD82</t> in CD8 + T cell subsets analyzed by scRNA-seq. (A) UMAP visualization of cell types based on scRNA-seq data obtained from the GEO database. (B) Dot plot illustrating CD82 expression levels across different cell types in tumor and normal tissues from patients with colon cancer. (C) UMAP visualization of CD8 + T cell subsets based on scRNA-seq data obtained from the GEO database. (D) Dot plot illustrating CD82 expression levels across distinct CD8 + T cell subsets in tumor and normal tissues from patients with colon cancer.
X Y Z Stage, supplied by Rockland Immunochemicals, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/x y z stage/product/Rockland Immunochemicals
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93
Cell Signaling Technology Inc rabbit mab
Expression distribution of <t>CD82</t> in CD8 + T cell subsets analyzed by scRNA-seq. (A) UMAP visualization of cell types based on scRNA-seq data obtained from the GEO database. (B) Dot plot illustrating CD82 expression levels across different cell types in tumor and normal tissues from patients with colon cancer. (C) UMAP visualization of CD8 + T cell subsets based on scRNA-seq data obtained from the GEO database. (D) Dot plot illustrating CD82 expression levels across distinct CD8 + T cell subsets in tumor and normal tissues from patients with colon cancer.
Rabbit Mab, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/rabbit mab/product/Cell Signaling Technology Inc
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Novus Biologicals rabbit anti kai1 antibody
Fig. 1. <t>KAI1</t> expression is reduced in advanced human melanoma. (A–H) Representative images of KAI1 immunohistochemical staining in human melanocytic lesions. (A) and (E), strong KAI1 staining in CAN; (B) and (F), moderate KAI1 staining in DN; (C) and (G), weak KAI1 staining PM; D and H, negative KAI1 staining in MM. Bar = 50 μm. (I) KAI1 expression is significantly reduced when comparing common acquired nevi and dysplastic nevi (P = 0.04, χ2 test), dysplastic nevi and primary melanoma (P = 1.8 × 10-4, χ2 test) and primary melanoma and metastatic melanoma (P = 9.4 × 10−15, χ2 test). CAN, common acquired nevi; DN, dysplastic nevi; PM, primary melanoma; MM, metastatic melanoma.
Rabbit Anti Kai1 Antibody, supplied by Novus Biologicals, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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92
Addgene inc primary gbm culture
Expansion microscopy improves antibody penetration into tumor spheroids. Central sections of expanded <t>GBM#18</t> tumor spheroids expressing a <t>cytosolic</t> <t>tdTomato</t> fluorescent protein (A) , line profile of fluorescent intensity through the center of a cleared or expanded spheroid (endogenous tdTomato signal) (B) , line profile of fluorescent intensity through the center of a cleared or expanded spheroid (anti-tdTomato immuno-stain signal) (C) . Fluorescence (AU) was normalized and distance of the expanded spheroids was normalized to that of the cleared spheroid. Scale bar: 50 μm (cleared), 200 μm (expanded).
Primary Gbm Culture, supplied by Addgene inc, used in various techniques. Bioz Stars score: 92/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


Expression distribution of CD82 in CD8 + T cell subsets analyzed by scRNA-seq. (A) UMAP visualization of cell types based on scRNA-seq data obtained from the GEO database. (B) Dot plot illustrating CD82 expression levels across different cell types in tumor and normal tissues from patients with colon cancer. (C) UMAP visualization of CD8 + T cell subsets based on scRNA-seq data obtained from the GEO database. (D) Dot plot illustrating CD82 expression levels across distinct CD8 + T cell subsets in tumor and normal tissues from patients with colon cancer.

Journal: Frontiers in Immunology

Article Title: CD82-associated exhausted CD8 + T cells define prognosis and immunotherapy resistance in colon cancer

doi: 10.3389/fimmu.2025.1731154

Figure Lengend Snippet: Expression distribution of CD82 in CD8 + T cell subsets analyzed by scRNA-seq. (A) UMAP visualization of cell types based on scRNA-seq data obtained from the GEO database. (B) Dot plot illustrating CD82 expression levels across different cell types in tumor and normal tissues from patients with colon cancer. (C) UMAP visualization of CD8 + T cell subsets based on scRNA-seq data obtained from the GEO database. (D) Dot plot illustrating CD82 expression levels across distinct CD8 + T cell subsets in tumor and normal tissues from patients with colon cancer.

Article Snippet: The following antibodies are used: CD82 (clone 1E7A4, 1:1000 dilution, Catalog No.: 66803-1-lg, Proteintech, USA), CD8 (clone 1G2B10, 1:2000 dilution, Cat. No.: 66868-1-Ig, Proteintech, USA), TIM-3 (clone D5D5RTM, 1:100 dilution, Catalog No.: 45208S, CST, USA), TCF1 (clone C63D9, 1:200 dilution, Catalog No.: 2203S, CST, USA), PD-1 (clone UMAB199, 1:100 dilution, Cat. No.: ZM0381, ZSGB-BIO, China), and PANCK (clone PDH09-10, 1:2000 dilution, Cat. No.: HA601138 , HUABio, China).

Techniques: Expressing

Correlation analysis of CD82 expression with T cell exhaustion markers in TCGA-COAD. (A–H) Scatter plots illustrating the correlations between CD82 expression and T cell exhaustion–associated molecules in colon cancer tissues: (A) CTLA4, (B) FOXP3, (C) TIGIT, (D) CD8A, (E) MRC1 (CD206), (F) PDCD1 (PD-1), (G) HAVCR2 (TIM-3), and (H) LAG3. Correlations are assessed using Pearson’s correlation analysis (all P < 0.001).

Journal: Frontiers in Immunology

Article Title: CD82-associated exhausted CD8 + T cells define prognosis and immunotherapy resistance in colon cancer

doi: 10.3389/fimmu.2025.1731154

Figure Lengend Snippet: Correlation analysis of CD82 expression with T cell exhaustion markers in TCGA-COAD. (A–H) Scatter plots illustrating the correlations between CD82 expression and T cell exhaustion–associated molecules in colon cancer tissues: (A) CTLA4, (B) FOXP3, (C) TIGIT, (D) CD8A, (E) MRC1 (CD206), (F) PDCD1 (PD-1), (G) HAVCR2 (TIM-3), and (H) LAG3. Correlations are assessed using Pearson’s correlation analysis (all P < 0.001).

Article Snippet: The following antibodies are used: CD82 (clone 1E7A4, 1:1000 dilution, Catalog No.: 66803-1-lg, Proteintech, USA), CD8 (clone 1G2B10, 1:2000 dilution, Cat. No.: 66868-1-Ig, Proteintech, USA), TIM-3 (clone D5D5RTM, 1:100 dilution, Catalog No.: 45208S, CST, USA), TCF1 (clone C63D9, 1:200 dilution, Catalog No.: 2203S, CST, USA), PD-1 (clone UMAB199, 1:100 dilution, Cat. No.: ZM0381, ZSGB-BIO, China), and PANCK (clone PDH09-10, 1:2000 dilution, Cat. No.: HA601138 , HUABio, China).

Techniques: Expressing

Expression of CD82 in colon cancer tissue microarrays (TMA) and its prognostic significance. (A) Representative multiplex immunohistochemical (mIHC) staining and single-channel images of colon cancer TMAs (DAPI, blue; CK, purple; CD8, cyan; CD82, white). (B–D) Comparisons between normal and tumor tissues: (B) infiltration density of CD8 + T cells, (C) infiltration density of D82 + T cells, and (D) proportion of the CD8 + CD82 + subset within total CD8 + T cells. (E–G) Comparisons between epithelial and stromal regions within tumor tissues: (E) infiltration density of CD8 + T cells, (F) infiltration density of CD82 + T cells, and (G) proportion of the CD8 + CD82 + subset within total CD8 + T cells. (H–J) Kaplan–Meier survival curves for colon cancer patients stratified by: (H) CD8 + T cell infiltration density, (I) CD82 + T cell infiltration density, and (J) proportion of the CD8 + CD82 + subset within total CD8 + T cells. Optimal cutoff values for high and low expression groups are determined using X-tile software. P values for survival differences are calculated using the Kaplan–Meier method, and HR with 95%CI are estimated by univariate Cox proportional hazards regression analysis. ***P < 0.001; ****P < 0.0001.

Journal: Frontiers in Immunology

Article Title: CD82-associated exhausted CD8 + T cells define prognosis and immunotherapy resistance in colon cancer

doi: 10.3389/fimmu.2025.1731154

Figure Lengend Snippet: Expression of CD82 in colon cancer tissue microarrays (TMA) and its prognostic significance. (A) Representative multiplex immunohistochemical (mIHC) staining and single-channel images of colon cancer TMAs (DAPI, blue; CK, purple; CD8, cyan; CD82, white). (B–D) Comparisons between normal and tumor tissues: (B) infiltration density of CD8 + T cells, (C) infiltration density of D82 + T cells, and (D) proportion of the CD8 + CD82 + subset within total CD8 + T cells. (E–G) Comparisons between epithelial and stromal regions within tumor tissues: (E) infiltration density of CD8 + T cells, (F) infiltration density of CD82 + T cells, and (G) proportion of the CD8 + CD82 + subset within total CD8 + T cells. (H–J) Kaplan–Meier survival curves for colon cancer patients stratified by: (H) CD8 + T cell infiltration density, (I) CD82 + T cell infiltration density, and (J) proportion of the CD8 + CD82 + subset within total CD8 + T cells. Optimal cutoff values for high and low expression groups are determined using X-tile software. P values for survival differences are calculated using the Kaplan–Meier method, and HR with 95%CI are estimated by univariate Cox proportional hazards regression analysis. ***P < 0.001; ****P < 0.0001.

Article Snippet: The following antibodies are used: CD82 (clone 1E7A4, 1:1000 dilution, Catalog No.: 66803-1-lg, Proteintech, USA), CD8 (clone 1G2B10, 1:2000 dilution, Cat. No.: 66868-1-Ig, Proteintech, USA), TIM-3 (clone D5D5RTM, 1:100 dilution, Catalog No.: 45208S, CST, USA), TCF1 (clone C63D9, 1:200 dilution, Catalog No.: 2203S, CST, USA), PD-1 (clone UMAB199, 1:100 dilution, Cat. No.: ZM0381, ZSGB-BIO, China), and PANCK (clone PDH09-10, 1:2000 dilution, Cat. No.: HA601138 , HUABio, China).

Techniques: Expressing, Multiplex Assay, Immunohistochemical staining, Staining, Software

Co-expression of CD82 and exhaustion markers in colon cancer TMA and their prognostic significance. (A) Representative mIHC staining and single-channel images (DAPI, blue; CK, purple; CD8, cyan; CD82, white; TIM-3, green; PD-1, orange; TCF1, red). (B–D) Comparisons between normal and tumor tissues: (B) proportion of CD8 + CD82 + PD-1 + cells within CD8 + PD-1 + T cells, (C) proportion of CD8 + CD82 + PD-1 + TCF1 + cells within CD8 + PD-1 + TCF1 + T cells, and (D) proportion of CD8 + CD82 + TIM-3 + PD-1 + cells within CD8 + TIM-3 + PD-1 + T cells. (E–G ) Comparisons between epithelial and stromal regions within tumor tissues: (E) proportion of CD8 + CD82 + PD-1 + cells within CD8 + PD-1 + T cells, (F) proportion of CD8 + CD82 + PD-1 + TCF1 + cells within CD8 + PD-1 + TCF1 + T cells, and (G) proportion of CD8 + CD82 + TIM-3 + PD-1 + cells within CD8 + TIM-3 + PD-1 + T cells. (H–J) Kaplan–Meier survival curves for colon cancer patients stratified by: (H) proportion of CD8 + CD82 + PD-1 + cells within CD8 + PD-1 + T cells, (I) proportion of CD8 + CD82 + PD-1 + TCF1 + cells within CD8 + PD-1 + TCF1 + T cells, and (J) proportion of CD8 + CD82 + TIM-3 + PD-1 + cells within CD8 + TIM-3 + PD-1 + T cells. Optimal cutoff values for high and low expression groups are determined using X-tile software. P values for survival differences are calculated using the Kaplan–Meier method, and HR with 95%CI are estimated by univariate Cox proportional hazards regression analysis. *P < 0.05; ****P < 0.0001.

Journal: Frontiers in Immunology

Article Title: CD82-associated exhausted CD8 + T cells define prognosis and immunotherapy resistance in colon cancer

doi: 10.3389/fimmu.2025.1731154

Figure Lengend Snippet: Co-expression of CD82 and exhaustion markers in colon cancer TMA and their prognostic significance. (A) Representative mIHC staining and single-channel images (DAPI, blue; CK, purple; CD8, cyan; CD82, white; TIM-3, green; PD-1, orange; TCF1, red). (B–D) Comparisons between normal and tumor tissues: (B) proportion of CD8 + CD82 + PD-1 + cells within CD8 + PD-1 + T cells, (C) proportion of CD8 + CD82 + PD-1 + TCF1 + cells within CD8 + PD-1 + TCF1 + T cells, and (D) proportion of CD8 + CD82 + TIM-3 + PD-1 + cells within CD8 + TIM-3 + PD-1 + T cells. (E–G ) Comparisons between epithelial and stromal regions within tumor tissues: (E) proportion of CD8 + CD82 + PD-1 + cells within CD8 + PD-1 + T cells, (F) proportion of CD8 + CD82 + PD-1 + TCF1 + cells within CD8 + PD-1 + TCF1 + T cells, and (G) proportion of CD8 + CD82 + TIM-3 + PD-1 + cells within CD8 + TIM-3 + PD-1 + T cells. (H–J) Kaplan–Meier survival curves for colon cancer patients stratified by: (H) proportion of CD8 + CD82 + PD-1 + cells within CD8 + PD-1 + T cells, (I) proportion of CD8 + CD82 + PD-1 + TCF1 + cells within CD8 + PD-1 + TCF1 + T cells, and (J) proportion of CD8 + CD82 + TIM-3 + PD-1 + cells within CD8 + TIM-3 + PD-1 + T cells. Optimal cutoff values for high and low expression groups are determined using X-tile software. P values for survival differences are calculated using the Kaplan–Meier method, and HR with 95%CI are estimated by univariate Cox proportional hazards regression analysis. *P < 0.05; ****P < 0.0001.

Article Snippet: The following antibodies are used: CD82 (clone 1E7A4, 1:1000 dilution, Catalog No.: 66803-1-lg, Proteintech, USA), CD8 (clone 1G2B10, 1:2000 dilution, Cat. No.: 66868-1-Ig, Proteintech, USA), TIM-3 (clone D5D5RTM, 1:100 dilution, Catalog No.: 45208S, CST, USA), TCF1 (clone C63D9, 1:200 dilution, Catalog No.: 2203S, CST, USA), PD-1 (clone UMAB199, 1:100 dilution, Cat. No.: ZM0381, ZSGB-BIO, China), and PANCK (clone PDH09-10, 1:2000 dilution, Cat. No.: HA601138 , HUABio, China).

Techniques: Expressing, Staining, Software

scRNA-seq analysis and expression distribution of CD82 in CD8 + T-cell subpopulations following immunotherapy. (A, B) UMAP visualization of cell types (A) and CD82 expression distribution (B) based on scRNA-seq data from GEO datasets of colon cancer patients treated with immunotherapy. (C) Dot plot showing differences in CD82 expression levels across cell types between pathological complete response (pCR) and non-pCR groups after immunotherapy. (D, E) UMAP visualization of CD8 + T-cell subsets (D) and corresponding CD82 expression distribution (E) . (F) Scatter plot comparing CD82 expression levels among distinct CD8 + T-cell subsets between pCR and non-pCR groups post-immunotherapy. (G) Violin plot illustrating CD82 expression differences among CD8 + T-cell subsets between pCR and non-pCR groups following immunotherapy.

Journal: Frontiers in Immunology

Article Title: CD82-associated exhausted CD8 + T cells define prognosis and immunotherapy resistance in colon cancer

doi: 10.3389/fimmu.2025.1731154

Figure Lengend Snippet: scRNA-seq analysis and expression distribution of CD82 in CD8 + T-cell subpopulations following immunotherapy. (A, B) UMAP visualization of cell types (A) and CD82 expression distribution (B) based on scRNA-seq data from GEO datasets of colon cancer patients treated with immunotherapy. (C) Dot plot showing differences in CD82 expression levels across cell types between pathological complete response (pCR) and non-pCR groups after immunotherapy. (D, E) UMAP visualization of CD8 + T-cell subsets (D) and corresponding CD82 expression distribution (E) . (F) Scatter plot comparing CD82 expression levels among distinct CD8 + T-cell subsets between pCR and non-pCR groups post-immunotherapy. (G) Violin plot illustrating CD82 expression differences among CD8 + T-cell subsets between pCR and non-pCR groups following immunotherapy.

Article Snippet: The following antibodies are used: CD82 (clone 1E7A4, 1:1000 dilution, Catalog No.: 66803-1-lg, Proteintech, USA), CD8 (clone 1G2B10, 1:2000 dilution, Cat. No.: 66868-1-Ig, Proteintech, USA), TIM-3 (clone D5D5RTM, 1:100 dilution, Catalog No.: 45208S, CST, USA), TCF1 (clone C63D9, 1:200 dilution, Catalog No.: 2203S, CST, USA), PD-1 (clone UMAB199, 1:100 dilution, Cat. No.: ZM0381, ZSGB-BIO, China), and PANCK (clone PDH09-10, 1:2000 dilution, Cat. No.: HA601138 , HUABio, China).

Techniques: Expressing

Single-cell regulatory network inference and clustering analysis of CD8 + T cells. (A) Heatmap showing regulon activity (AUCell AUC values) across CD8 + T-cell subsets. (B) Differentially expressed transcriptional regulators between pCR and non-pCR groups predicted to bind the promoter or enhancer regions of the CD82 gene. (C) Comparison of mRNA expression levels of candidate regulatory factors between pCR and non-pCR groups.

Journal: Frontiers in Immunology

Article Title: CD82-associated exhausted CD8 + T cells define prognosis and immunotherapy resistance in colon cancer

doi: 10.3389/fimmu.2025.1731154

Figure Lengend Snippet: Single-cell regulatory network inference and clustering analysis of CD8 + T cells. (A) Heatmap showing regulon activity (AUCell AUC values) across CD8 + T-cell subsets. (B) Differentially expressed transcriptional regulators between pCR and non-pCR groups predicted to bind the promoter or enhancer regions of the CD82 gene. (C) Comparison of mRNA expression levels of candidate regulatory factors between pCR and non-pCR groups.

Article Snippet: The following antibodies are used: CD82 (clone 1E7A4, 1:1000 dilution, Catalog No.: 66803-1-lg, Proteintech, USA), CD8 (clone 1G2B10, 1:2000 dilution, Cat. No.: 66868-1-Ig, Proteintech, USA), TIM-3 (clone D5D5RTM, 1:100 dilution, Catalog No.: 45208S, CST, USA), TCF1 (clone C63D9, 1:200 dilution, Catalog No.: 2203S, CST, USA), PD-1 (clone UMAB199, 1:100 dilution, Cat. No.: ZM0381, ZSGB-BIO, China), and PANCK (clone PDH09-10, 1:2000 dilution, Cat. No.: HA601138 , HUABio, China).

Techniques: Activity Assay, Comparison, Expressing

Fig. 1. KAI1 expression is reduced in advanced human melanoma. (A–H) Representative images of KAI1 immunohistochemical staining in human melanocytic lesions. (A) and (E), strong KAI1 staining in CAN; (B) and (F), moderate KAI1 staining in DN; (C) and (G), weak KAI1 staining PM; D and H, negative KAI1 staining in MM. Bar = 50 μm. (I) KAI1 expression is significantly reduced when comparing common acquired nevi and dysplastic nevi (P = 0.04, χ2 test), dysplastic nevi and primary melanoma (P = 1.8 × 10-4, χ2 test) and primary melanoma and metastatic melanoma (P = 9.4 × 10−15, χ2 test). CAN, common acquired nevi; DN, dysplastic nevi; PM, primary melanoma; MM, metastatic melanoma.

Journal: Carcinogenesis

Article Title: Prognostic significance of KAI1/CD82 in human melanoma and its role in cell migration and invasion through the regulation of ING4.

doi: 10.1093/carcin/bgt346

Figure Lengend Snippet: Fig. 1. KAI1 expression is reduced in advanced human melanoma. (A–H) Representative images of KAI1 immunohistochemical staining in human melanocytic lesions. (A) and (E), strong KAI1 staining in CAN; (B) and (F), moderate KAI1 staining in DN; (C) and (G), weak KAI1 staining PM; D and H, negative KAI1 staining in MM. Bar = 50 μm. (I) KAI1 expression is significantly reduced when comparing common acquired nevi and dysplastic nevi (P = 0.04, χ2 test), dysplastic nevi and primary melanoma (P = 1.8 × 10-4, χ2 test) and primary melanoma and metastatic melanoma (P = 9.4 × 10−15, χ2 test). CAN, common acquired nevi; DN, dysplastic nevi; PM, primary melanoma; MM, metastatic melanoma.

Article Snippet: The primary rabbit anti-KAI1 antibody (1:1000 dilution, Novus Biologicals, Littleton, CO) and the biotin-labeled secondary antibody (DAKO Diagnostics, Glostrup, Denmark) were used.

Techniques: Expressing, Immunohistochemical staining, Staining

Fig. 2. KAI1 expression is associated with 5 year survival of melanoma patients. Two hundred and sixty-two primary melanoma patients and 155 metastatic melanoma patients were analyzed. (A) Reduced KAI1 expression is correlated with poor overall and disease-specific 5 year survival in all melanoma patients (P = 1.2 × 10−7 and 3.6 × 10−7, respectively, log-rank test). (B) Reduced KAI1 expression is correlated with poor overall and disease-specific 5 year survival in primary melanoma patients (P = 0.003 and 0.007, respectively, log-rank test). (C) Reduced KAI1 expression is correlated with poor overall and disease-specific 5 year survival in metastatic melanoma patients (P = 0.012 and 0.015, respectively, log-rank test). Cum., cumulative.

Journal: Carcinogenesis

Article Title: Prognostic significance of KAI1/CD82 in human melanoma and its role in cell migration and invasion through the regulation of ING4.

doi: 10.1093/carcin/bgt346

Figure Lengend Snippet: Fig. 2. KAI1 expression is associated with 5 year survival of melanoma patients. Two hundred and sixty-two primary melanoma patients and 155 metastatic melanoma patients were analyzed. (A) Reduced KAI1 expression is correlated with poor overall and disease-specific 5 year survival in all melanoma patients (P = 1.2 × 10−7 and 3.6 × 10−7, respectively, log-rank test). (B) Reduced KAI1 expression is correlated with poor overall and disease-specific 5 year survival in primary melanoma patients (P = 0.003 and 0.007, respectively, log-rank test). (C) Reduced KAI1 expression is correlated with poor overall and disease-specific 5 year survival in metastatic melanoma patients (P = 0.012 and 0.015, respectively, log-rank test). Cum., cumulative.

Article Snippet: The primary rabbit anti-KAI1 antibody (1:1000 dilution, Novus Biologicals, Littleton, CO) and the biotin-labeled secondary antibody (DAKO Diagnostics, Glostrup, Denmark) were used.

Techniques: Expressing

Fig. 3. KAI1 regulates melanoma cell migration. (A, D) Western blot analysis of KAI1 expression. (A) Flag antibody was used and (D) KAI1 antibody was used. (B, E) Representative images of the effect of KAI1 overexpression or knockdown on melanoma cell migration. Twenty-four hours after transfection with si-KAI1-1, si-KAI1-2 or control siRNA, MMRU cells were transfected with KAI1 or control plasmids for 24 h. Then the monolayer of MMRU cells was scratched. The gaps were observed by microscopy and photographed. (C, F) The migrated cells during wound healing were counted randomly in five fields of each group, and each group was repeated three times. Columns, mean; bars, standard deviation. ***P < 0.001. Ctrl, control; CV, control vector; si, small interfering.

Journal: Carcinogenesis

Article Title: Prognostic significance of KAI1/CD82 in human melanoma and its role in cell migration and invasion through the regulation of ING4.

doi: 10.1093/carcin/bgt346

Figure Lengend Snippet: Fig. 3. KAI1 regulates melanoma cell migration. (A, D) Western blot analysis of KAI1 expression. (A) Flag antibody was used and (D) KAI1 antibody was used. (B, E) Representative images of the effect of KAI1 overexpression or knockdown on melanoma cell migration. Twenty-four hours after transfection with si-KAI1-1, si-KAI1-2 or control siRNA, MMRU cells were transfected with KAI1 or control plasmids for 24 h. Then the monolayer of MMRU cells was scratched. The gaps were observed by microscopy and photographed. (C, F) The migrated cells during wound healing were counted randomly in five fields of each group, and each group was repeated three times. Columns, mean; bars, standard deviation. ***P < 0.001. Ctrl, control; CV, control vector; si, small interfering.

Article Snippet: The primary rabbit anti-KAI1 antibody (1:1000 dilution, Novus Biologicals, Littleton, CO) and the biotin-labeled secondary antibody (DAKO Diagnostics, Glostrup, Denmark) were used.

Techniques: Migration, Western Blot, Expressing, Over Expression, Knockdown, Transfection, Control, Microscopy, Standard Deviation, Plasmid Preparation

Fig. 4. KAI1 regulates stress fiber formation via ROCK. (A, C) The effect of KAI1 overexpression or knockdown on melanoma cell stress fiber formation. MMRU Cells were transfected with Flag-KAI1, control plasmid, si-KAI1-1, si-KAI1-2 or control siRNA, followed by serum starvation overnight and serum stimulation for 30 min. For ROCK inhibitor treatment, 10 μmol/l Y27632 in serum-free medium was added to the cells after serum starvation overnight and incubated for 2 h, and then the cells were incubated with complete medium containing 10% fetal bovine serum with 10 μmol/l Y27632 for 30 min. Magnification, ×400. (B, D) Quantitation of (A) and (C). RI, ROCK inhibitor Y27632. ***P < 0.001.

Journal: Carcinogenesis

Article Title: Prognostic significance of KAI1/CD82 in human melanoma and its role in cell migration and invasion through the regulation of ING4.

doi: 10.1093/carcin/bgt346

Figure Lengend Snippet: Fig. 4. KAI1 regulates stress fiber formation via ROCK. (A, C) The effect of KAI1 overexpression or knockdown on melanoma cell stress fiber formation. MMRU Cells were transfected with Flag-KAI1, control plasmid, si-KAI1-1, si-KAI1-2 or control siRNA, followed by serum starvation overnight and serum stimulation for 30 min. For ROCK inhibitor treatment, 10 μmol/l Y27632 in serum-free medium was added to the cells after serum starvation overnight and incubated for 2 h, and then the cells were incubated with complete medium containing 10% fetal bovine serum with 10 μmol/l Y27632 for 30 min. Magnification, ×400. (B, D) Quantitation of (A) and (C). RI, ROCK inhibitor Y27632. ***P < 0.001.

Article Snippet: The primary rabbit anti-KAI1 antibody (1:1000 dilution, Novus Biologicals, Littleton, CO) and the biotin-labeled secondary antibody (DAKO Diagnostics, Glostrup, Denmark) were used.

Techniques: Over Expression, Knockdown, Transfection, Control, Plasmid Preparation, Incubation, Quantitation Assay

Fig. 5. KAI1 regulates melanoma cell invasion and the activity of MMP-2. (A, C) The effect of KAI1 overexpression or knockdown on melanoma cell invasion using Transwell culture chamber. MMRU cells were transfected with Flag-KAI1, control plasmid, si-KAI1-1, si-KAI1-2 or control siRNA. The cells were seeded on to matrigel with serum-free medium, incubated for 24 h at 37°C, stained with crystal violet and quantified. (B, D) Quantitation of (A) and (C), respectively. The experiment was done in triplicate wells. (E) KAI1 inhibits the activity of MMP-2 in MMRU cells by performing the zymography assay. (F) Quantitation of (E). The experiment was repeated three times. ***P < 0.001.

Journal: Carcinogenesis

Article Title: Prognostic significance of KAI1/CD82 in human melanoma and its role in cell migration and invasion through the regulation of ING4.

doi: 10.1093/carcin/bgt346

Figure Lengend Snippet: Fig. 5. KAI1 regulates melanoma cell invasion and the activity of MMP-2. (A, C) The effect of KAI1 overexpression or knockdown on melanoma cell invasion using Transwell culture chamber. MMRU cells were transfected with Flag-KAI1, control plasmid, si-KAI1-1, si-KAI1-2 or control siRNA. The cells were seeded on to matrigel with serum-free medium, incubated for 24 h at 37°C, stained with crystal violet and quantified. (B, D) Quantitation of (A) and (C), respectively. The experiment was done in triplicate wells. (E) KAI1 inhibits the activity of MMP-2 in MMRU cells by performing the zymography assay. (F) Quantitation of (E). The experiment was repeated three times. ***P < 0.001.

Article Snippet: The primary rabbit anti-KAI1 antibody (1:1000 dilution, Novus Biologicals, Littleton, CO) and the biotin-labeled secondary antibody (DAKO Diagnostics, Glostrup, Denmark) were used.

Techniques: Activity Assay, Over Expression, Knockdown, Transfection, Control, Plasmid Preparation, Incubation, Staining, Quantitation Assay, Zymography

Fig. 6. Regulation of ING4 by KAI1 and its effect on melanoma cell migration. (A) Quantitative reverse transcription–PCR analysis was done by transfection cell with Flag-KAI1, control plasmid, si-KAI1-1, si-KAI1-2 or control siRNA. Expression of ING4 mRNAs was measured using real-time quantitative PCR and normalized with glyceraldehyde 3-phosphate dehydrogenase as loading control. (B) Western blot analysis of ING4 expression after the cells were transfected with Flag-KAI1, control plasmid, si-KAI1-1, si-KAI1-2 or control siRNA. (C) Western blot analysis of ING4 expression after cells were transfected with control siRNA and si-KAI1-1, si-p65 alone or together. (D) KAI1/p65/ING4 signaling pathway in melanoma migration. (E) The effect of reduced KAI1 expression on cell migration was reduced by forced ING4 expression. The cells were transfected with si-KAI1 or control siRNA, and then after 48 h, the cells were transfected with HA-ING4 or HA control plasmid. Monolayer MMRU cells were scratched and the gap was monitored by microscopy and photographed. (F) The reduction in cell migration by the forced KAI1 expression was compensated by ING4 knockdown. The cells were transfected with KAI1 or control plasmid, and then after 24 h, the cells were transfected with mi-ING4 or control plasmid. (G, H) Quantitation of (E) and (F), respectively. The migrated cells during wound healing were counted randomly in five fields of each group, and each group was repeated three times. Columns, mean; bars, standard deviation. ***P < 0.001. si, small interfering; Ctrl, control; HA, hemagglutinin; mi, microRNA.

Journal: Carcinogenesis

Article Title: Prognostic significance of KAI1/CD82 in human melanoma and its role in cell migration and invasion through the regulation of ING4.

doi: 10.1093/carcin/bgt346

Figure Lengend Snippet: Fig. 6. Regulation of ING4 by KAI1 and its effect on melanoma cell migration. (A) Quantitative reverse transcription–PCR analysis was done by transfection cell with Flag-KAI1, control plasmid, si-KAI1-1, si-KAI1-2 or control siRNA. Expression of ING4 mRNAs was measured using real-time quantitative PCR and normalized with glyceraldehyde 3-phosphate dehydrogenase as loading control. (B) Western blot analysis of ING4 expression after the cells were transfected with Flag-KAI1, control plasmid, si-KAI1-1, si-KAI1-2 or control siRNA. (C) Western blot analysis of ING4 expression after cells were transfected with control siRNA and si-KAI1-1, si-p65 alone or together. (D) KAI1/p65/ING4 signaling pathway in melanoma migration. (E) The effect of reduced KAI1 expression on cell migration was reduced by forced ING4 expression. The cells were transfected with si-KAI1 or control siRNA, and then after 48 h, the cells were transfected with HA-ING4 or HA control plasmid. Monolayer MMRU cells were scratched and the gap was monitored by microscopy and photographed. (F) The reduction in cell migration by the forced KAI1 expression was compensated by ING4 knockdown. The cells were transfected with KAI1 or control plasmid, and then after 24 h, the cells were transfected with mi-ING4 or control plasmid. (G, H) Quantitation of (E) and (F), respectively. The migrated cells during wound healing were counted randomly in five fields of each group, and each group was repeated three times. Columns, mean; bars, standard deviation. ***P < 0.001. si, small interfering; Ctrl, control; HA, hemagglutinin; mi, microRNA.

Article Snippet: The primary rabbit anti-KAI1 antibody (1:1000 dilution, Novus Biologicals, Littleton, CO) and the biotin-labeled secondary antibody (DAKO Diagnostics, Glostrup, Denmark) were used.

Techniques: Migration, Reverse Transcription, Transfection, Control, Plasmid Preparation, Expressing, Real-time Polymerase Chain Reaction, Western Blot, Microscopy, Knockdown, Quantitation Assay, Standard Deviation

Expansion microscopy improves antibody penetration into tumor spheroids. Central sections of expanded GBM#18 tumor spheroids expressing a cytosolic tdTomato fluorescent protein (A) , line profile of fluorescent intensity through the center of a cleared or expanded spheroid (endogenous tdTomato signal) (B) , line profile of fluorescent intensity through the center of a cleared or expanded spheroid (anti-tdTomato immuno-stain signal) (C) . Fluorescence (AU) was normalized and distance of the expanded spheroids was normalized to that of the cleared spheroid. Scale bar: 50 μm (cleared), 200 μm (expanded).

Journal: Frontiers in Molecular Biosciences

Article Title: High-Resolution Imaging of Tumor Spheroids and Organoids Enabled by Expansion Microscopy

doi: 10.3389/fmolb.2020.00208

Figure Lengend Snippet: Expansion microscopy improves antibody penetration into tumor spheroids. Central sections of expanded GBM#18 tumor spheroids expressing a cytosolic tdTomato fluorescent protein (A) , line profile of fluorescent intensity through the center of a cleared or expanded spheroid (endogenous tdTomato signal) (B) , line profile of fluorescent intensity through the center of a cleared or expanded spheroid (anti-tdTomato immuno-stain signal) (C) . Fluorescence (AU) was normalized and distance of the expanded spheroids was normalized to that of the cleared spheroid. Scale bar: 50 μm (cleared), 200 μm (expanded).

Article Snippet: A498 renal carcinoma and a primary GBM culture #18 ( ) stably expressing tdTomato following lentiviral transduction with plasmid #32904 (Addgene) were used to produce tumor spheroids.

Techniques: Microscopy, Expressing, Immunostaining, Fluorescence