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Multi Sciences (Lianke) Biotech Co Ltd ifn γ
SEMA3C-targeting treatment inhibited tumor growth and restored T cell function. (A) Schematic of the treatment protocol in mice bearing Lewis cells. (B) Tumor growth curve of mice treated with PBS and the SEMA3C-targeting treatment. (C-D) Representative images showing the tumors harvested from mice bearing Lewis cells treated with PBS and the SEMA3C-targeting treatment, and weight of the harvested tumors. Data was presented as mean±SD. Significance was calculated with the Student’s t -test. **** P < 0.001. (E-G) Relative concentrations of PD-1 (E), GZMB (F), <t>and</t> <t>IFN-γ</t> (G) as measured by ELISA in Lewis cell-bearing mice treated with PBS or SEMA3C-targeting treatment. Data was presented as mean±SD. Significance was calculated with the Student’s t -test. * P < 0.05, ** P < 0.01.
Ifn γ, supplied by Multi Sciences (Lianke) Biotech Co Ltd, 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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Bioss anti ifn γ
SEMA3C-targeting treatment inhibited tumor growth and restored T cell function. (A) Schematic of the treatment protocol in mice bearing Lewis cells. (B) Tumor growth curve of mice treated with PBS and the SEMA3C-targeting treatment. (C-D) Representative images showing the tumors harvested from mice bearing Lewis cells treated with PBS and the SEMA3C-targeting treatment, and weight of the harvested tumors. Data was presented as mean±SD. Significance was calculated with the Student’s t -test. **** P < 0.001. (E-G) Relative concentrations of PD-1 (E), GZMB (F), <t>and</t> <t>IFN-γ</t> (G) as measured by ELISA in Lewis cell-bearing mice treated with PBS or SEMA3C-targeting treatment. Data was presented as mean±SD. Significance was calculated with the Student’s t -test. * P < 0.05, ** P < 0.01.
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Proteintech pparg
Diagnostic value of key diagnostic genes. (a) ROC curves illustrating the diagnostic performance of the three key diagnostic genes. (b)–(d) Expression levels <t>of</t> <t>ABCC1</t> , CYP1B1 , and <t>PPARG</t> in dataset GSE134364 . (e)–(g) Expression levels of ABCC1 , CYP1B1 , and PPARG in dataset GSE65682 . ROC: receiver operating characteristic curve; AUC: area under the ROC curve.
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Revvity 1480 gamma counter
Diagnostic value of key diagnostic genes. (a) ROC curves illustrating the diagnostic performance of the three key diagnostic genes. (b)–(d) Expression levels <t>of</t> <t>ABCC1</t> , CYP1B1 , and <t>PPARG</t> in dataset GSE134364 . (e)–(g) Expression levels of ABCC1 , CYP1B1 , and PPARG in dataset GSE65682 . ROC: receiver operating characteristic curve; AUC: area under the ROC curve.
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Revvity 2480 automatic gamma counter wizard2 3
Diagnostic value of key diagnostic genes. (a) ROC curves illustrating the diagnostic performance of the three key diagnostic genes. (b)–(d) Expression levels <t>of</t> <t>ABCC1</t> , CYP1B1 , and <t>PPARG</t> in dataset GSE134364 . (e)–(g) Expression levels of ABCC1 , CYP1B1 , and PPARG in dataset GSE65682 . ROC: receiver operating characteristic curve; AUC: area under the ROC curve.
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Revvity γ counter
Diagnostic value of key diagnostic genes. (a) ROC curves illustrating the diagnostic performance of the three key diagnostic genes. (b)–(d) Expression levels <t>of</t> <t>ABCC1</t> , CYP1B1 , and <t>PPARG</t> in dataset GSE134364 . (e)–(g) Expression levels of ABCC1 , CYP1B1 , and PPARG in dataset GSE65682 . ROC: receiver operating characteristic curve; AUC: area under the ROC curve.
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Diagnostic value of key diagnostic genes. (a) ROC curves illustrating the diagnostic performance of the three key diagnostic genes. (b)–(d) Expression levels <t>of</t> <t>ABCC1</t> , CYP1B1 , and <t>PPARG</t> in dataset GSE134364 . (e)–(g) Expression levels of ABCC1 , CYP1B1 , and PPARG in dataset GSE65682 . ROC: receiver operating characteristic curve; AUC: area under the ROC curve.
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Revvity wizard2
Diagnostic value of key diagnostic genes. (a) ROC curves illustrating the diagnostic performance of the three key diagnostic genes. (b)–(d) Expression levels <t>of</t> <t>ABCC1</t> , CYP1B1 , and <t>PPARG</t> in dataset GSE134364 . (e)–(g) Expression levels of ABCC1 , CYP1B1 , and PPARG in dataset GSE65682 . ROC: receiver operating characteristic curve; AUC: area under the ROC curve.
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Revvity wizard2 automated g counter
Diagnostic value of key diagnostic genes. (a) ROC curves illustrating the diagnostic performance of the three key diagnostic genes. (b)–(d) Expression levels <t>of</t> <t>ABCC1</t> , CYP1B1 , and <t>PPARG</t> in dataset GSE134364 . (e)–(g) Expression levels of ABCC1 , CYP1B1 , and PPARG in dataset GSE65682 . ROC: receiver operating characteristic curve; AUC: area under the ROC curve.
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Revvity γ counter system
Diagnostic value of key diagnostic genes. (a) ROC curves illustrating the diagnostic performance of the three key diagnostic genes. (b)–(d) Expression levels <t>of</t> <t>ABCC1</t> , CYP1B1 , and <t>PPARG</t> in dataset GSE134364 . (e)–(g) Expression levels of ABCC1 , CYP1B1 , and PPARG in dataset GSE65682 . ROC: receiver operating characteristic curve; AUC: area under the ROC curve.
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Image Search Results


SEMA3C-targeting treatment inhibited tumor growth and restored T cell function. (A) Schematic of the treatment protocol in mice bearing Lewis cells. (B) Tumor growth curve of mice treated with PBS and the SEMA3C-targeting treatment. (C-D) Representative images showing the tumors harvested from mice bearing Lewis cells treated with PBS and the SEMA3C-targeting treatment, and weight of the harvested tumors. Data was presented as mean±SD. Significance was calculated with the Student’s t -test. **** P < 0.001. (E-G) Relative concentrations of PD-1 (E), GZMB (F), and IFN-γ (G) as measured by ELISA in Lewis cell-bearing mice treated with PBS or SEMA3C-targeting treatment. Data was presented as mean±SD. Significance was calculated with the Student’s t -test. * P < 0.05, ** P < 0.01.

Journal: Translational Oncology

Article Title: Tumor-stroma contributes to immunotherapeutic resistance in non-small cell lung cancer via SEMA3C-mediated immunosuppressive tumor microenvironment

doi: 10.1016/j.tranon.2026.102679

Figure Lengend Snippet: SEMA3C-targeting treatment inhibited tumor growth and restored T cell function. (A) Schematic of the treatment protocol in mice bearing Lewis cells. (B) Tumor growth curve of mice treated with PBS and the SEMA3C-targeting treatment. (C-D) Representative images showing the tumors harvested from mice bearing Lewis cells treated with PBS and the SEMA3C-targeting treatment, and weight of the harvested tumors. Data was presented as mean±SD. Significance was calculated with the Student’s t -test. **** P < 0.001. (E-G) Relative concentrations of PD-1 (E), GZMB (F), and IFN-γ (G) as measured by ELISA in Lewis cell-bearing mice treated with PBS or SEMA3C-targeting treatment. Data was presented as mean±SD. Significance was calculated with the Student’s t -test. * P < 0.05, ** P < 0.01.

Article Snippet: Additionally, mouse protein levels of programmed death-1 (PD-1, catalog EK2271), IFN-γ (catalog EK280), and granzyme B (GZMB, catalog EK2173) in peripheral blood from Lewis lung carcinoma-bearing mice were assessed using ELISA kits from MultiSciences (LIANKE) Biotech Co., Ltd (Hangzhou, China).

Techniques: Cell Function Assay, Enzyme-linked Immunosorbent Assay

Diagnostic value of key diagnostic genes. (a) ROC curves illustrating the diagnostic performance of the three key diagnostic genes. (b)–(d) Expression levels of ABCC1 , CYP1B1 , and PPARG in dataset GSE134364 . (e)–(g) Expression levels of ABCC1 , CYP1B1 , and PPARG in dataset GSE65682 . ROC: receiver operating characteristic curve; AUC: area under the ROC curve.

Journal: APL Bioengineering

Article Title: Integrating Mendelian randomization and multi-omics analysis unravels gut microbiota-driven metabolic mechanisms in sepsis and identifies diagnostic biomarkers through experimental validation

doi: 10.1063/5.0296018

Figure Lengend Snippet: Diagnostic value of key diagnostic genes. (a) ROC curves illustrating the diagnostic performance of the three key diagnostic genes. (b)–(d) Expression levels of ABCC1 , CYP1B1 , and PPARG in dataset GSE134364 . (e)–(g) Expression levels of ABCC1 , CYP1B1 , and PPARG in dataset GSE65682 . ROC: receiver operating characteristic curve; AUC: area under the ROC curve.

Article Snippet: The membrane was blocked and incubated overnight at 4 °C with primary antibodies: ABCC1 (A2223, Abclonal, 1:1000), CYP1B1 (A1377, Abclonal, 1:1000), and PPARG (16643-1-AP, Proteintech, 1:1000).

Techniques: Diagnostic Assay, Expressing

Expression of key diagnostic genes in human alveolar organoids derived from pulmonary sepsis patients. (a) Representative bright-field image of human alveolar organoids cultured for 7 days; scale bar = 200 μ m. (b) HE staining of human alveolar organoids. (c) Immunofluorescence quantification of AQP5, SOX9, and SPC in human alveolar organoids. (d) WB analysis showing the expression levels of ABCC1, CYP1B1, and PPARG in human alveolar organoids.

Journal: APL Bioengineering

Article Title: Integrating Mendelian randomization and multi-omics analysis unravels gut microbiota-driven metabolic mechanisms in sepsis and identifies diagnostic biomarkers through experimental validation

doi: 10.1063/5.0296018

Figure Lengend Snippet: Expression of key diagnostic genes in human alveolar organoids derived from pulmonary sepsis patients. (a) Representative bright-field image of human alveolar organoids cultured for 7 days; scale bar = 200 μ m. (b) HE staining of human alveolar organoids. (c) Immunofluorescence quantification of AQP5, SOX9, and SPC in human alveolar organoids. (d) WB analysis showing the expression levels of ABCC1, CYP1B1, and PPARG in human alveolar organoids.

Article Snippet: The membrane was blocked and incubated overnight at 4 °C with primary antibodies: ABCC1 (A2223, Abclonal, 1:1000), CYP1B1 (A1377, Abclonal, 1:1000), and PPARG (16643-1-AP, Proteintech, 1:1000).

Techniques: Expressing, Diagnostic Assay, Derivative Assay, Cell Culture, Staining, Immunofluorescence

Expression of key diagnostic genes in bronchial organoids derived from pulmonary sepsis rats. (a) Representative bright-field image of rat bronchial organoids cultured for 7 days; scale bar = 200 μ m. (b) HE staining and IHC results for Ki67, P63, FOXJ1, MUC5AC, and CC10 in rat bronchial organoids. (c) Morphological status of rat bronchial organoids infected with four bacterial concentrations (MOI = 0, 5, 10, and 20) of Escherichia coli and Staphylococcus aureus at 0, 6, 12, and 24 h. (d) Fluorescence detection of organoid viability in rat bronchial organoids infected with MOI = 20 bacteria ( E. coli and S. aureus ) at 12 and 24 h. (e) RT-qPCR analysis quantifying the expression levels of ABCC1 , CYP1B1 , and PPARG in rat bronchial organoids.

Journal: APL Bioengineering

Article Title: Integrating Mendelian randomization and multi-omics analysis unravels gut microbiota-driven metabolic mechanisms in sepsis and identifies diagnostic biomarkers through experimental validation

doi: 10.1063/5.0296018

Figure Lengend Snippet: Expression of key diagnostic genes in bronchial organoids derived from pulmonary sepsis rats. (a) Representative bright-field image of rat bronchial organoids cultured for 7 days; scale bar = 200 μ m. (b) HE staining and IHC results for Ki67, P63, FOXJ1, MUC5AC, and CC10 in rat bronchial organoids. (c) Morphological status of rat bronchial organoids infected with four bacterial concentrations (MOI = 0, 5, 10, and 20) of Escherichia coli and Staphylococcus aureus at 0, 6, 12, and 24 h. (d) Fluorescence detection of organoid viability in rat bronchial organoids infected with MOI = 20 bacteria ( E. coli and S. aureus ) at 12 and 24 h. (e) RT-qPCR analysis quantifying the expression levels of ABCC1 , CYP1B1 , and PPARG in rat bronchial organoids.

Article Snippet: The membrane was blocked and incubated overnight at 4 °C with primary antibodies: ABCC1 (A2223, Abclonal, 1:1000), CYP1B1 (A1377, Abclonal, 1:1000), and PPARG (16643-1-AP, Proteintech, 1:1000).

Techniques: Expressing, Diagnostic Assay, Derivative Assay, Cell Culture, Staining, Infection, Fluorescence, Bacteria, Quantitative RT-PCR

GSEA, immune infiltration, and GSVA analyses of key diagnostic genes. (a)–(c) GSEA analysis of ABCC1 , CYP1B1 , and PPARG , identifying enriched pathways associated with these genes. (d) Differences in immune infiltrating cell populations between healthy donors and sepsis patients. (e) Correlation analysis between ABCC1 , CYP1B1 , PPARG , and immune cells. (f) and (g) GSVA analysis of ABCC1 , CYP1B1 , and PPARG.

Journal: APL Bioengineering

Article Title: Integrating Mendelian randomization and multi-omics analysis unravels gut microbiota-driven metabolic mechanisms in sepsis and identifies diagnostic biomarkers through experimental validation

doi: 10.1063/5.0296018

Figure Lengend Snippet: GSEA, immune infiltration, and GSVA analyses of key diagnostic genes. (a)–(c) GSEA analysis of ABCC1 , CYP1B1 , and PPARG , identifying enriched pathways associated with these genes. (d) Differences in immune infiltrating cell populations between healthy donors and sepsis patients. (e) Correlation analysis between ABCC1 , CYP1B1 , PPARG , and immune cells. (f) and (g) GSVA analysis of ABCC1 , CYP1B1 , and PPARG.

Article Snippet: The membrane was blocked and incubated overnight at 4 °C with primary antibodies: ABCC1 (A2223, Abclonal, 1:1000), CYP1B1 (A1377, Abclonal, 1:1000), and PPARG (16643-1-AP, Proteintech, 1:1000).

Techniques: Diagnostic Assay

Single-cell analysis of ABCC1 , CYP1B1 , and PPARG . (a) and (b) Expression of ABCC1 , CYP1B1 , and PPARG in different immune cells.

Journal: APL Bioengineering

Article Title: Integrating Mendelian randomization and multi-omics analysis unravels gut microbiota-driven metabolic mechanisms in sepsis and identifies diagnostic biomarkers through experimental validation

doi: 10.1063/5.0296018

Figure Lengend Snippet: Single-cell analysis of ABCC1 , CYP1B1 , and PPARG . (a) and (b) Expression of ABCC1 , CYP1B1 , and PPARG in different immune cells.

Article Snippet: The membrane was blocked and incubated overnight at 4 °C with primary antibodies: ABCC1 (A2223, Abclonal, 1:1000), CYP1B1 (A1377, Abclonal, 1:1000), and PPARG (16643-1-AP, Proteintech, 1:1000).

Techniques: Single-cell Analysis, Expressing