rabbit anti fap α primary antibody Search Results


94
R&D Systems af3715
Af3715, 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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93
Novus Biologicals rabbit anti human fap antibody
Rabbit Anti Human Fap Antibody, 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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Thermo Fisher anti-fap polyclonal ab
Anti Fap Polyclonal Ab, supplied by Thermo Fisher, 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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98
Abcam rabbit polyclonal igg
Rabbit Polyclonal Igg, supplied by Abcam, used in various techniques. Bioz Stars score: 98/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Abcam mouse monoclonal anti fap antibody
Mouse Monoclonal Anti Fap Antibody, supplied by Abcam, used in various techniques. Bioz Stars score: 98/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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96
Cell Signaling Technology Inc anti fto
Anti Fto, supplied by Cell Signaling Technology Inc, 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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R&D Systems iso fap
Iso Fap, supplied by R&D Systems, used in various techniques. Bioz Stars score: 95/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Proteintech anti 14 3 3ε
Anti 14 3 3ε, supplied by Proteintech, 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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R&D Systems fibroblast activation protein fap
TIME scoring using RNA sequencing data and associations with clinical features and experimental data in patients with lung cancer. (A) Gene sets and TIME scores used in this study. (B) Correlogram showing correlations between each gene signature of the TIME factors in the Aichi Cancer Center (ACC) cohort. The size of the circles indicates the degree of correlation. (C) Correlogram showing correlations between each TIME score (T-score, I-score and S-score) in the ACC cohort. Association of clinicopathological findings or experimental data with T-score (D), I-score (E) and S-score (F) are shown. CYT, cytolytic activity; epithelial‐mesenchymal transition; <t>FAP,</t> <t>fibroblast</t> activation protein; PET, positron emission tomography; SUVmax, maximum standardized uptake value; TCGA, The Cancer Genome Atlas; TIME, tumor immune microenvironment. *p<0.05; **p<0.01; ***p<0.001.
Fibroblast Activation Protein Fap, 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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R&D Systems rabbit anti mouse fap
TIME scoring using RNA sequencing data and associations with clinical features and experimental data in patients with lung cancer. (A) Gene sets and TIME scores used in this study. (B) Correlogram showing correlations between each gene signature of the TIME factors in the Aichi Cancer Center (ACC) cohort. The size of the circles indicates the degree of correlation. (C) Correlogram showing correlations between each TIME score (T-score, I-score and S-score) in the ACC cohort. Association of clinicopathological findings or experimental data with T-score (D), I-score (E) and S-score (F) are shown. CYT, cytolytic activity; epithelial‐mesenchymal transition; <t>FAP,</t> <t>fibroblast</t> activation protein; PET, positron emission tomography; SUVmax, maximum standardized uptake value; TCGA, The Cancer Genome Atlas; TIME, tumor immune microenvironment. *p<0.05; **p<0.01; ***p<0.001.
Rabbit Anti Mouse Fap, supplied by R&D Systems, used in various techniques. Bioz Stars score: 95/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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OriGene human fapa
TIME scoring using RNA sequencing data and associations with clinical features and experimental data in patients with lung cancer. (A) Gene sets and TIME scores used in this study. (B) Correlogram showing correlations between each gene signature of the TIME factors in the Aichi Cancer Center (ACC) cohort. The size of the circles indicates the degree of correlation. (C) Correlogram showing correlations between each TIME score (T-score, I-score and S-score) in the ACC cohort. Association of clinicopathological findings or experimental data with T-score (D), I-score (E) and S-score (F) are shown. CYT, cytolytic activity; epithelial‐mesenchymal transition; <t>FAP,</t> <t>fibroblast</t> activation protein; PET, positron emission tomography; SUVmax, maximum standardized uptake value; TCGA, The Cancer Genome Atlas; TIME, tumor immune microenvironment. *p<0.05; **p<0.01; ***p<0.001.
Human Fapa, supplied by OriGene, 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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Average 90 stars, based on 1 article reviews
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90
Thermo Fisher anti-fap7
FC WM <t>Fabp7</t> positive cells in NCI, MCI, and AD APOEε4 carriers and non-carriers. A – L Low magnification images of Fabp7 reactivity in the WM (dashed lines) of APOEε3 ( A – C ) and APOEε4 ( G – I ) carriers. Higher power images of WM Fabp7 immunoreactive cells in APOEε3 ( D – F ) and APOEε4 ( J – L ) carriers displaying a small, rounded, or oval-shaped morphology with thin processes like that seen in oligodendrocytes precursor cells in all clinical groups. Insets show higher power images of Fabp7 positive cells (arrows) in each panel. Scale bar in low magnification images I = 250 μm applies to panels ( A – C , G – I ). High power magnification images scale bar in L = 25 μm and inset = 10 μm applies to panels ( D – F , J – L ). M Quantification revealed a significant reduction in AD compared to NCI in APOEε4 non-carriers, that remained stable in carriers (NCI3/3 n = 10, MCI3/3 n = 11, AD3/3 n = 11, NCI3/4 n = 11, MCI3/4 n = 9, AD3/4 n = 11). Data shown in the bar graph is presented as mean ± SEM. Statistical significance was determined using the Kruskal–Wallis followed by a Dunn’s test for comparisons across clinical groups and Mann–Whitney test for comparisons between carriers and non-carriers within each clinical group. Significance levels (*) were set at: *p < 0.05, **p < 0.01, ***p < 0.001. GM grey matter, WM white matter
Anti Fap7, supplied by Thermo Fisher, 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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Average 90 stars, based on 1 article reviews
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Image Search Results


TIME scoring using RNA sequencing data and associations with clinical features and experimental data in patients with lung cancer. (A) Gene sets and TIME scores used in this study. (B) Correlogram showing correlations between each gene signature of the TIME factors in the Aichi Cancer Center (ACC) cohort. The size of the circles indicates the degree of correlation. (C) Correlogram showing correlations between each TIME score (T-score, I-score and S-score) in the ACC cohort. Association of clinicopathological findings or experimental data with T-score (D), I-score (E) and S-score (F) are shown. CYT, cytolytic activity; epithelial‐mesenchymal transition; FAP, fibroblast activation protein; PET, positron emission tomography; SUVmax, maximum standardized uptake value; TCGA, The Cancer Genome Atlas; TIME, tumor immune microenvironment. *p<0.05; **p<0.01; ***p<0.001.

Journal: Journal for Immunotherapy of Cancer

Article Title: New evaluation of the tumor immune microenvironment of non-small cell lung cancer and its association with prognosis

doi: 10.1136/jitc-2021-003765

Figure Lengend Snippet: TIME scoring using RNA sequencing data and associations with clinical features and experimental data in patients with lung cancer. (A) Gene sets and TIME scores used in this study. (B) Correlogram showing correlations between each gene signature of the TIME factors in the Aichi Cancer Center (ACC) cohort. The size of the circles indicates the degree of correlation. (C) Correlogram showing correlations between each TIME score (T-score, I-score and S-score) in the ACC cohort. Association of clinicopathological findings or experimental data with T-score (D), I-score (E) and S-score (F) are shown. CYT, cytolytic activity; epithelial‐mesenchymal transition; FAP, fibroblast activation protein; PET, positron emission tomography; SUVmax, maximum standardized uptake value; TCGA, The Cancer Genome Atlas; TIME, tumor immune microenvironment. *p<0.05; **p<0.01; ***p<0.001.

Article Snippet: The following monoclonal antibodies were used: Brilliant Violet (BV)421-labeled CD3, Allophycocyanin (APC)-labeled CD4, Fluorescein isothiocyanate (FITC)-labeled CD8, BV711-labeled CD103, Phycoerythrin(PE)-labeled CD39, BV786-labeled PD-1, BV650-labeled Tim-3 and PE-labeled CD31 (all from BioLegend, San Diego, California, USA), and APC-labeled fibroblast activation protein (FAP) (R&D Systems, Minneapolis, Minnesota, USA).

Techniques: RNA Sequencing Assay, Activity Assay, Activation Assay, Positron Emission Tomography

FC WM Fabp7 positive cells in NCI, MCI, and AD APOEε4 carriers and non-carriers. A – L Low magnification images of Fabp7 reactivity in the WM (dashed lines) of APOEε3 ( A – C ) and APOEε4 ( G – I ) carriers. Higher power images of WM Fabp7 immunoreactive cells in APOEε3 ( D – F ) and APOEε4 ( J – L ) carriers displaying a small, rounded, or oval-shaped morphology with thin processes like that seen in oligodendrocytes precursor cells in all clinical groups. Insets show higher power images of Fabp7 positive cells (arrows) in each panel. Scale bar in low magnification images I = 250 μm applies to panels ( A – C , G – I ). High power magnification images scale bar in L = 25 μm and inset = 10 μm applies to panels ( D – F , J – L ). M Quantification revealed a significant reduction in AD compared to NCI in APOEε4 non-carriers, that remained stable in carriers (NCI3/3 n = 10, MCI3/3 n = 11, AD3/3 n = 11, NCI3/4 n = 11, MCI3/4 n = 9, AD3/4 n = 11). Data shown in the bar graph is presented as mean ± SEM. Statistical significance was determined using the Kruskal–Wallis followed by a Dunn’s test for comparisons across clinical groups and Mann–Whitney test for comparisons between carriers and non-carriers within each clinical group. Significance levels (*) were set at: *p < 0.05, **p < 0.01, ***p < 0.001. GM grey matter, WM white matter

Journal: Journal of Neuroinflammation

Article Title: APOEε4 alters ApoE and Fabp7 in frontal cortex white matter in prodromal Alzheimer's disease

doi: 10.1186/s12974-025-03349-y

Figure Lengend Snippet: FC WM Fabp7 positive cells in NCI, MCI, and AD APOEε4 carriers and non-carriers. A – L Low magnification images of Fabp7 reactivity in the WM (dashed lines) of APOEε3 ( A – C ) and APOEε4 ( G – I ) carriers. Higher power images of WM Fabp7 immunoreactive cells in APOEε3 ( D – F ) and APOEε4 ( J – L ) carriers displaying a small, rounded, or oval-shaped morphology with thin processes like that seen in oligodendrocytes precursor cells in all clinical groups. Insets show higher power images of Fabp7 positive cells (arrows) in each panel. Scale bar in low magnification images I = 250 μm applies to panels ( A – C , G – I ). High power magnification images scale bar in L = 25 μm and inset = 10 μm applies to panels ( D – F , J – L ). M Quantification revealed a significant reduction in AD compared to NCI in APOEε4 non-carriers, that remained stable in carriers (NCI3/3 n = 10, MCI3/3 n = 11, AD3/3 n = 11, NCI3/4 n = 11, MCI3/4 n = 9, AD3/4 n = 11). Data shown in the bar graph is presented as mean ± SEM. Statistical significance was determined using the Kruskal–Wallis followed by a Dunn’s test for comparisons across clinical groups and Mann–Whitney test for comparisons between carriers and non-carriers within each clinical group. Significance levels (*) were set at: *p < 0.05, **p < 0.01, ***p < 0.001. GM grey matter, WM white matter

Article Snippet: Sections were double or triple labeled with either a rabbit anti-GFAP (Z0334, Dako, RRID:AB_10013382), 1:500 dilution or a mouse anti-GFAP [1:50 dilution] monoclonal antibody, unconjugated, clone GA5, 3670S (Cell Signaling Technology, RRID:AB_561049), Iba1 (Rabbit anti-Iba1 [1:50], 019–19741, FUJIFILM Wako Pure Chemical Corporation, RRID:AB_839504), Fabp7 (Rabbit anti-Fap7 [1:50], PA5-24949, Thermo Fisher Scientific, RRID:AB_2542449) or Olig2 (Rabbit anti-Olig2 [1:50], AB109186, Abcam, RRID:AB_10861310) together with an ApoE (Goat anti-ApoE [1:500], Ab947, Millipore, RRID:AB_305869) antibody overnight.

Techniques: MANN-WHITNEY

FC WM ApoE and Fabp7 positive cells colocalize with different glial cell markers in AD carriers and non-carriers. Double-immunofluorescence images showing ApoE reactive cells (red) ( A , G ), ( C , I ), ( E , K ) that colocalize with the astrocytic glial fibrillar acidic protein (GFAP; blue) ( B , H ), the microglial ionized calcium-binding adaptor molecule 1 (Iba1; green) ( C , D ), and the oligodendrocyte marker, oligodendrocyte transcription factor 2 (Olig2; green) ( F , L ). Note that not all Iba1 and Olig2 positive cells express ApoE. Scale bar in A-L = 10 µM. Triple-immunofluorescent showing single Fabp7 (blue) ( M – Q ), ApoE (red) ( N – R ), GFAP (green) ( O – S ) cells and merged images (pink and yellow) ( P , T ). Insets show higher magnification images of Fabp7, ApoE and GFAP positive cells (white arrows). Note the consistent co-localization of GFAP and ApoE, while Fabp7 colocalizes only with ApoE. Scale bar in panel P, T = 25 μm and inset = 10 μm

Journal: Journal of Neuroinflammation

Article Title: APOEε4 alters ApoE and Fabp7 in frontal cortex white matter in prodromal Alzheimer's disease

doi: 10.1186/s12974-025-03349-y

Figure Lengend Snippet: FC WM ApoE and Fabp7 positive cells colocalize with different glial cell markers in AD carriers and non-carriers. Double-immunofluorescence images showing ApoE reactive cells (red) ( A , G ), ( C , I ), ( E , K ) that colocalize with the astrocytic glial fibrillar acidic protein (GFAP; blue) ( B , H ), the microglial ionized calcium-binding adaptor molecule 1 (Iba1; green) ( C , D ), and the oligodendrocyte marker, oligodendrocyte transcription factor 2 (Olig2; green) ( F , L ). Note that not all Iba1 and Olig2 positive cells express ApoE. Scale bar in A-L = 10 µM. Triple-immunofluorescent showing single Fabp7 (blue) ( M – Q ), ApoE (red) ( N – R ), GFAP (green) ( O – S ) cells and merged images (pink and yellow) ( P , T ). Insets show higher magnification images of Fabp7, ApoE and GFAP positive cells (white arrows). Note the consistent co-localization of GFAP and ApoE, while Fabp7 colocalizes only with ApoE. Scale bar in panel P, T = 25 μm and inset = 10 μm

Article Snippet: Sections were double or triple labeled with either a rabbit anti-GFAP (Z0334, Dako, RRID:AB_10013382), 1:500 dilution or a mouse anti-GFAP [1:50 dilution] monoclonal antibody, unconjugated, clone GA5, 3670S (Cell Signaling Technology, RRID:AB_561049), Iba1 (Rabbit anti-Iba1 [1:50], 019–19741, FUJIFILM Wako Pure Chemical Corporation, RRID:AB_839504), Fabp7 (Rabbit anti-Fap7 [1:50], PA5-24949, Thermo Fisher Scientific, RRID:AB_2542449) or Olig2 (Rabbit anti-Olig2 [1:50], AB109186, Abcam, RRID:AB_10861310) together with an ApoE (Goat anti-ApoE [1:500], Ab947, Millipore, RRID:AB_305869) antibody overnight.

Techniques: Immunofluorescence, Binding Assay, Marker

Correlations between optical density, cell counts and cognitive variables. Linear regression graphs display correlations between Fabp7 and ApoE-positive cells in the WM for APOEε4 carriers ( A ) and APOEε4 non-carriers ( B ), between Fabp7 and Olig2-positive cells in APOEε4 carriers ( C ) and APOEε4 non-carriers ( D ) and between LFB optical density and global cognition scores in APOEε4 carriers ( E ) and APOEε4 non-carriers ( F ). Significant correlations were observed only between Fabp7 and Olig2 in APOEε4 non-carriers and LFB optical density and global cognition scores in APOEε4 carriers

Journal: Journal of Neuroinflammation

Article Title: APOEε4 alters ApoE and Fabp7 in frontal cortex white matter in prodromal Alzheimer's disease

doi: 10.1186/s12974-025-03349-y

Figure Lengend Snippet: Correlations between optical density, cell counts and cognitive variables. Linear regression graphs display correlations between Fabp7 and ApoE-positive cells in the WM for APOEε4 carriers ( A ) and APOEε4 non-carriers ( B ), between Fabp7 and Olig2-positive cells in APOEε4 carriers ( C ) and APOEε4 non-carriers ( D ) and between LFB optical density and global cognition scores in APOEε4 carriers ( E ) and APOEε4 non-carriers ( F ). Significant correlations were observed only between Fabp7 and Olig2 in APOEε4 non-carriers and LFB optical density and global cognition scores in APOEε4 carriers

Article Snippet: Sections were double or triple labeled with either a rabbit anti-GFAP (Z0334, Dako, RRID:AB_10013382), 1:500 dilution or a mouse anti-GFAP [1:50 dilution] monoclonal antibody, unconjugated, clone GA5, 3670S (Cell Signaling Technology, RRID:AB_561049), Iba1 (Rabbit anti-Iba1 [1:50], 019–19741, FUJIFILM Wako Pure Chemical Corporation, RRID:AB_839504), Fabp7 (Rabbit anti-Fap7 [1:50], PA5-24949, Thermo Fisher Scientific, RRID:AB_2542449) or Olig2 (Rabbit anti-Olig2 [1:50], AB109186, Abcam, RRID:AB_10861310) together with an ApoE (Goat anti-ApoE [1:500], Ab947, Millipore, RRID:AB_305869) antibody overnight.

Techniques: