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Analyzing ARGs and CRGs Expression Patterns in GBM: A A Venn diagram illustrating the overlap of 13 genes ( ADORA1 , CIPC , CST3 , EGR1 , HEBP1 , ID3 , <t>NFIL3</t> , PDE6B , PER3 , PPARGC1A , PTGDS , SMARCD3 , USP2 ) identified between ARGs and CRGs; B GO enrichment analysis depicting a strong association with “Circadian Rhythm” within the biological process category; C KEGG pathway analysis showing significant enrichment in “Circadian Rhythm” pathways, underscoring the pivotal roles these genes play in circadian rhythm regulation; D Expression levels of the 13 genes within the TCGA-GBM database, highlighting NFIL3 due to its significant variation in expression; E , F Differential expression of NFIL3 mRNA across various cancer types, with a focus on its upregulation in tumor tissues compared to normal counterparts, validated using data from TCGA and GTEx, showing statistical significance ( p < 0.05) in specific cancers including renal cell carcinoma and GBM
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Analyzing ARGs and CRGs Expression Patterns in GBM: A A Venn diagram illustrating the overlap of 13 genes ( ADORA1 , CIPC , CST3 , EGR1 , HEBP1 , ID3 , <t>NFIL3</t> , PDE6B , PER3 , PPARGC1A , PTGDS , SMARCD3 , USP2 ) identified between ARGs and CRGs; B GO enrichment analysis depicting a strong association with “Circadian Rhythm” within the biological process category; C KEGG pathway analysis showing significant enrichment in “Circadian Rhythm” pathways, underscoring the pivotal roles these genes play in circadian rhythm regulation; D Expression levels of the 13 genes within the TCGA-GBM database, highlighting NFIL3 due to its significant variation in expression; E , F Differential expression of NFIL3 mRNA across various cancer types, with a focus on its upregulation in tumor tissues compared to normal counterparts, validated using data from TCGA and GTEx, showing statistical significance ( p < 0.05) in specific cancers including renal cell carcinoma and GBM
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Analyzing ARGs and CRGs Expression Patterns in GBM: A A Venn diagram illustrating the overlap of 13 genes ( ADORA1 , CIPC , CST3 , EGR1 , HEBP1 , ID3 , <t>NFIL3</t> , PDE6B , PER3 , PPARGC1A , PTGDS , SMARCD3 , USP2 ) identified between ARGs and CRGs; B GO enrichment analysis depicting a strong association with “Circadian Rhythm” within the biological process category; C KEGG pathway analysis showing significant enrichment in “Circadian Rhythm” pathways, underscoring the pivotal roles these genes play in circadian rhythm regulation; D Expression levels of the 13 genes within the TCGA-GBM database, highlighting NFIL3 due to its significant variation in expression; E , F Differential expression of NFIL3 mRNA across various cancer types, with a focus on its upregulation in tumor tissues compared to normal counterparts, validated using data from TCGA and GTEx, showing statistical significance ( p < 0.05) in specific cancers including renal cell carcinoma and GBM
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Analyzing ARGs and CRGs Expression Patterns in GBM: A A Venn diagram illustrating the overlap of 13 genes ( ADORA1 , CIPC , CST3 , EGR1 , HEBP1 , ID3 , <t>NFIL3</t> , PDE6B , PER3 , PPARGC1A , PTGDS , SMARCD3 , USP2 ) identified between ARGs and CRGs; B GO enrichment analysis depicting a strong association with “Circadian Rhythm” within the biological process category; C KEGG pathway analysis showing significant enrichment in “Circadian Rhythm” pathways, underscoring the pivotal roles these genes play in circadian rhythm regulation; D Expression levels of the 13 genes within the TCGA-GBM database, highlighting NFIL3 due to its significant variation in expression; E , F Differential expression of NFIL3 mRNA across various cancer types, with a focus on its upregulation in tumor tissues compared to normal counterparts, validated using data from TCGA and GTEx, showing statistical significance ( p < 0.05) in specific cancers including renal cell carcinoma and GBM
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Specific upregulation of NF-κB signalling pathway related transcription Factors in Neutrophils of PDs. A, The transcription factors of different Neutrophils can be clustered into three regulon submodules: M1-M6; B, UMAP Visualization of the regulon activity scores of M1-M6 regulon submodules; C, Display of transcription factors that are specifically enriched in neutrophils from healthy controls (HCs) and patients with severe periodontitis (PDs) reveals distinct regulatory patterns; D, Networks showed the interactions of top transcription factors and their target genes; E, Relative Activity Score (RAS) of the transcription factor Nrf2 (NFE2L2) between HC and PD groups highlights potential differences in its regulatory activity; F, Heatmap of the average RAS clustering in neutrophils of two groups visualizes the co-expression patterns; G, Immunofluorescence staining of <t>NFIL3</t> in periodontal tissues of HCs and PDs.
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Image Search Results


Analyzing ARGs and CRGs Expression Patterns in GBM: A A Venn diagram illustrating the overlap of 13 genes ( ADORA1 , CIPC , CST3 , EGR1 , HEBP1 , ID3 , NFIL3 , PDE6B , PER3 , PPARGC1A , PTGDS , SMARCD3 , USP2 ) identified between ARGs and CRGs; B GO enrichment analysis depicting a strong association with “Circadian Rhythm” within the biological process category; C KEGG pathway analysis showing significant enrichment in “Circadian Rhythm” pathways, underscoring the pivotal roles these genes play in circadian rhythm regulation; D Expression levels of the 13 genes within the TCGA-GBM database, highlighting NFIL3 due to its significant variation in expression; E , F Differential expression of NFIL3 mRNA across various cancer types, with a focus on its upregulation in tumor tissues compared to normal counterparts, validated using data from TCGA and GTEx, showing statistical significance ( p < 0.05) in specific cancers including renal cell carcinoma and GBM

Journal: Discover Oncology

Article Title: Integrative analysis reveals NFIL3 as a prognostic marker in glioblastoma associated with anesthesia and circadian rhythm genes

doi: 10.1007/s12672-025-04271-8

Figure Lengend Snippet: Analyzing ARGs and CRGs Expression Patterns in GBM: A A Venn diagram illustrating the overlap of 13 genes ( ADORA1 , CIPC , CST3 , EGR1 , HEBP1 , ID3 , NFIL3 , PDE6B , PER3 , PPARGC1A , PTGDS , SMARCD3 , USP2 ) identified between ARGs and CRGs; B GO enrichment analysis depicting a strong association with “Circadian Rhythm” within the biological process category; C KEGG pathway analysis showing significant enrichment in “Circadian Rhythm” pathways, underscoring the pivotal roles these genes play in circadian rhythm regulation; D Expression levels of the 13 genes within the TCGA-GBM database, highlighting NFIL3 due to its significant variation in expression; E , F Differential expression of NFIL3 mRNA across various cancer types, with a focus on its upregulation in tumor tissues compared to normal counterparts, validated using data from TCGA and GTEx, showing statistical significance ( p < 0.05) in specific cancers including renal cell carcinoma and GBM

Article Snippet: Blocked with 5% BSA in TBST for 1 h at room temperature, the membranes were incubated with primary antibodies against NFIL3 (1:1000, Proteintech, Cat# 11773-1-AP) and GAPDH (1:5000, Proteintech, Cat# 10494-1-AP) overnight at 4°C, followed by fluorescent secondary antibodies for 1 h at room temperature, protected from light.

Techniques: Expressing, Quantitative Proteomics

In-depth analysis of NFIL3 Expression in GBM: A Paired differential analysis showing high expression of NFIL3 in GBM tumor tissues from the TCGA database ( p = 0.011); B ROC curve analysis indicating NFIL3 ’s excellent diagnostic performance in distinguishing tumor from normal tissue groups in TCGA data (AUC = 0.834); C Further analysis with combined TCGA and GTEx data confirming significant upregulation of NFIL3 in tumor tissues ( p < 0.001); D Enhanced diagnostic accuracy of NFIL3 using combined TCGA and GTEx data (AUC = 0.887); E–G Validation using the GEO database ( GSE16011 , GSE61335 , GSE108474 ) showing consistent high expression of NFIL3 in GBM tumor tissues ( p < 0.001); H Analysis from GEO database GSE7696 indicating high, albeit not statistically significant, expression levels of NFIL3 ( p = 0.087); I-K Kaplan-Meier survival curves illustrating that higher NFIL3 expression correlates with poorer prognosis in GBM patients

Journal: Discover Oncology

Article Title: Integrative analysis reveals NFIL3 as a prognostic marker in glioblastoma associated with anesthesia and circadian rhythm genes

doi: 10.1007/s12672-025-04271-8

Figure Lengend Snippet: In-depth analysis of NFIL3 Expression in GBM: A Paired differential analysis showing high expression of NFIL3 in GBM tumor tissues from the TCGA database ( p = 0.011); B ROC curve analysis indicating NFIL3 ’s excellent diagnostic performance in distinguishing tumor from normal tissue groups in TCGA data (AUC = 0.834); C Further analysis with combined TCGA and GTEx data confirming significant upregulation of NFIL3 in tumor tissues ( p < 0.001); D Enhanced diagnostic accuracy of NFIL3 using combined TCGA and GTEx data (AUC = 0.887); E–G Validation using the GEO database ( GSE16011 , GSE61335 , GSE108474 ) showing consistent high expression of NFIL3 in GBM tumor tissues ( p < 0.001); H Analysis from GEO database GSE7696 indicating high, albeit not statistically significant, expression levels of NFIL3 ( p = 0.087); I-K Kaplan-Meier survival curves illustrating that higher NFIL3 expression correlates with poorer prognosis in GBM patients

Article Snippet: Blocked with 5% BSA in TBST for 1 h at room temperature, the membranes were incubated with primary antibodies against NFIL3 (1:1000, Proteintech, Cat# 11773-1-AP) and GAPDH (1:5000, Proteintech, Cat# 10494-1-AP) overnight at 4°C, followed by fluorescent secondary antibodies for 1 h at room temperature, protected from light.

Techniques: Expressing, Diagnostic Assay, Biomarker Discovery

Simplified and integrated analysis of NFIL3 and Associated Regulatory Mechanisms: A Analysis using the CancerSEA database revealed NFIL3 ’s significant correlation with cancer cell states such as apoptosis, differentiation, DNA damage, EMT, and metastasis, suggesting its role in aggressive cancer phenotypes; B Spearman correlation between TIP scoring and NFIL3 expression, with autocorrelation analysis of these scores; C Gene set enrichment analysis (GSEA) showing significant association of NFIL3 with hallmark gene sets and KEGG pathways, particularly EMT, highlighted through bubble plots with high enrichment scores and low p-values; D Heatmaps displaying high-frequency genes associated with NFIL3 function, derived from differential expression analysis of high and low NFIL3 expression groups using TCGA data and external datasets

Journal: Discover Oncology

Article Title: Integrative analysis reveals NFIL3 as a prognostic marker in glioblastoma associated with anesthesia and circadian rhythm genes

doi: 10.1007/s12672-025-04271-8

Figure Lengend Snippet: Simplified and integrated analysis of NFIL3 and Associated Regulatory Mechanisms: A Analysis using the CancerSEA database revealed NFIL3 ’s significant correlation with cancer cell states such as apoptosis, differentiation, DNA damage, EMT, and metastasis, suggesting its role in aggressive cancer phenotypes; B Spearman correlation between TIP scoring and NFIL3 expression, with autocorrelation analysis of these scores; C Gene set enrichment analysis (GSEA) showing significant association of NFIL3 with hallmark gene sets and KEGG pathways, particularly EMT, highlighted through bubble plots with high enrichment scores and low p-values; D Heatmaps displaying high-frequency genes associated with NFIL3 function, derived from differential expression analysis of high and low NFIL3 expression groups using TCGA data and external datasets

Article Snippet: Blocked with 5% BSA in TBST for 1 h at room temperature, the membranes were incubated with primary antibodies against NFIL3 (1:1000, Proteintech, Cat# 11773-1-AP) and GAPDH (1:5000, Proteintech, Cat# 10494-1-AP) overnight at 4°C, followed by fluorescent secondary antibodies for 1 h at room temperature, protected from light.

Techniques: Expressing, Derivative Assay, Quantitative Proteomics

Analysis of NFIL3 in single-cell data and drug sensitivity assessment: A Single-cell RNA sequencing analysis from GSE102130 showing NFIL3 expression within the tumor microenvironment; B-F Predominance of NFIL3 expression in M1 macrophages and malignant tumor cells, indicating its crucial role in GBM pathogenesis ( p < 0.001); G-J Examination of the relationship between NFIL3 expression and drug sensitivity, demonstrating increased resistance to drugs in cells with elevated NFIL3 levels

Journal: Discover Oncology

Article Title: Integrative analysis reveals NFIL3 as a prognostic marker in glioblastoma associated with anesthesia and circadian rhythm genes

doi: 10.1007/s12672-025-04271-8

Figure Lengend Snippet: Analysis of NFIL3 in single-cell data and drug sensitivity assessment: A Single-cell RNA sequencing analysis from GSE102130 showing NFIL3 expression within the tumor microenvironment; B-F Predominance of NFIL3 expression in M1 macrophages and malignant tumor cells, indicating its crucial role in GBM pathogenesis ( p < 0.001); G-J Examination of the relationship between NFIL3 expression and drug sensitivity, demonstrating increased resistance to drugs in cells with elevated NFIL3 levels

Article Snippet: Blocked with 5% BSA in TBST for 1 h at room temperature, the membranes were incubated with primary antibodies against NFIL3 (1:1000, Proteintech, Cat# 11773-1-AP) and GAPDH (1:5000, Proteintech, Cat# 10494-1-AP) overnight at 4°C, followed by fluorescent secondary antibodies for 1 h at room temperature, protected from light.

Techniques: RNA Sequencing, Expressing

Spatial Transcriptome Analysis of NFIL3 : A–H Spatial distribution of cells within GBM tissues, with each spot representing a microregion and the intensity of red color indicating the abundance of specific cell types; I Dominant cell compositions for each microregion illustrated using the SpatialDimPlot function from the Seurat package; J Expression pattern of NFIL3 primarily localized within tumor cell regions; K Heatmap showing NFIL3 expression across different cell types in microregions of spatial transcriptome sections

Journal: Discover Oncology

Article Title: Integrative analysis reveals NFIL3 as a prognostic marker in glioblastoma associated with anesthesia and circadian rhythm genes

doi: 10.1007/s12672-025-04271-8

Figure Lengend Snippet: Spatial Transcriptome Analysis of NFIL3 : A–H Spatial distribution of cells within GBM tissues, with each spot representing a microregion and the intensity of red color indicating the abundance of specific cell types; I Dominant cell compositions for each microregion illustrated using the SpatialDimPlot function from the Seurat package; J Expression pattern of NFIL3 primarily localized within tumor cell regions; K Heatmap showing NFIL3 expression across different cell types in microregions of spatial transcriptome sections

Article Snippet: Blocked with 5% BSA in TBST for 1 h at room temperature, the membranes were incubated with primary antibodies against NFIL3 (1:1000, Proteintech, Cat# 11773-1-AP) and GAPDH (1:5000, Proteintech, Cat# 10494-1-AP) overnight at 4°C, followed by fluorescent secondary antibodies for 1 h at room temperature, protected from light.

Techniques: Expressing

RT-qPCR, Western Blot (WB), and immunohistochemistry (IHC) analyses of NFIL3 : A RT-qPCR results indicating significant upregulation of NFIL3 in GBM tissues; B , C Western blot analysis supporting the elevated expression levels of NFIL3 in GBM; D–G IHC validation showing aberrant NFIL3 protein expression in 75.5% (40/53) of GBM patient tissues, highlighting its potential as a biomarker for GBM

Journal: Discover Oncology

Article Title: Integrative analysis reveals NFIL3 as a prognostic marker in glioblastoma associated with anesthesia and circadian rhythm genes

doi: 10.1007/s12672-025-04271-8

Figure Lengend Snippet: RT-qPCR, Western Blot (WB), and immunohistochemistry (IHC) analyses of NFIL3 : A RT-qPCR results indicating significant upregulation of NFIL3 in GBM tissues; B , C Western blot analysis supporting the elevated expression levels of NFIL3 in GBM; D–G IHC validation showing aberrant NFIL3 protein expression in 75.5% (40/53) of GBM patient tissues, highlighting its potential as a biomarker for GBM

Article Snippet: Blocked with 5% BSA in TBST for 1 h at room temperature, the membranes were incubated with primary antibodies against NFIL3 (1:1000, Proteintech, Cat# 11773-1-AP) and GAPDH (1:5000, Proteintech, Cat# 10494-1-AP) overnight at 4°C, followed by fluorescent secondary antibodies for 1 h at room temperature, protected from light.

Techniques: Quantitative RT-PCR, Western Blot, Immunohistochemistry, Expressing, Biomarker Discovery

Specific upregulation of NF-κB signalling pathway related transcription Factors in Neutrophils of PDs. A, The transcription factors of different Neutrophils can be clustered into three regulon submodules: M1-M6; B, UMAP Visualization of the regulon activity scores of M1-M6 regulon submodules; C, Display of transcription factors that are specifically enriched in neutrophils from healthy controls (HCs) and patients with severe periodontitis (PDs) reveals distinct regulatory patterns; D, Networks showed the interactions of top transcription factors and their target genes; E, Relative Activity Score (RAS) of the transcription factor Nrf2 (NFE2L2) between HC and PD groups highlights potential differences in its regulatory activity; F, Heatmap of the average RAS clustering in neutrophils of two groups visualizes the co-expression patterns; G, Immunofluorescence staining of NFIL3 in periodontal tissues of HCs and PDs.

Journal: International Dental Journal

Article Title: The NF-κB Signalling Regulates the Abnormal Functions of Neutrophils in Severe Periodontal Disease

doi: 10.1016/j.identj.2025.103973

Figure Lengend Snippet: Specific upregulation of NF-κB signalling pathway related transcription Factors in Neutrophils of PDs. A, The transcription factors of different Neutrophils can be clustered into three regulon submodules: M1-M6; B, UMAP Visualization of the regulon activity scores of M1-M6 regulon submodules; C, Display of transcription factors that are specifically enriched in neutrophils from healthy controls (HCs) and patients with severe periodontitis (PDs) reveals distinct regulatory patterns; D, Networks showed the interactions of top transcription factors and their target genes; E, Relative Activity Score (RAS) of the transcription factor Nrf2 (NFE2L2) between HC and PD groups highlights potential differences in its regulatory activity; F, Heatmap of the average RAS clustering in neutrophils of two groups visualizes the co-expression patterns; G, Immunofluorescence staining of NFIL3 in periodontal tissues of HCs and PDs.

Article Snippet: Paraffin sections were routinely deparaffinised and antigenically repaired, as well as blocked and permeabilised with 5% PBS-BSA, 0.1% TritonX-100 at room temperature, followed by overnight incubation with primary antibodies against IKKβ (1:100, AF6009, Affinity), IL2(1:100, GB1114, Servicebio), p-STAT5 (1:100, af3305, Affinity), TNF-α (1:100, AF7014, Affinity), NFIL3 (1:50, 11773-1-AP, proteintech) and CD66B at 4 °C.

Techniques: Activity Assay, Expressing, Immunofluorescence, Staining