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selplg rna expression profiling data  (Human Protein Atlas)

 
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    Human Protein Atlas selplg rna expression profiling data
    The expression patterns of <t>SELPLG</t> across different cancer types and clinical stages based on analyses conducted using TIMER2 and other computational tools. A Expression analysis of SELPLG across various cancers with or without paracancer generated from TIMER ( https://cistrome.shinyapps.io/timer/ ). B Expression analysis of SELPLG across various cancers with or without paracancer generated from other analyses. C Analysis of SELPLG expression across TNM stage samples. D Differential expression analysis of SELPLG across clinical T stage samples
    Selplg Rna Expression Profiling Data, supplied by Human Protein Atlas, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/selplg+rna+expression+profiling+data/selplg+rna+expression+profiling+data/pmc12162434-94-0-13
    Average 90 stars, based on 1 article reviews
    selplg rna expression profiling data - by Bioz Stars, 2026-09
    90/100 stars

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    1) Product Images from "Comprehensive analysis of SELPLG as a potential immunotherapy target and prognostic biomarker in oncology"

    Article Title: Comprehensive analysis of SELPLG as a potential immunotherapy target and prognostic biomarker in oncology

    Journal: Discover Oncology

    doi: 10.1007/s12672-025-02934-0

    The expression patterns of SELPLG across different cancer types and clinical stages based on analyses conducted using TIMER2 and other computational tools. A Expression analysis of SELPLG across various cancers with or without paracancer generated from TIMER ( https://cistrome.shinyapps.io/timer/ ). B Expression analysis of SELPLG across various cancers with or without paracancer generated from other analyses. C Analysis of SELPLG expression across TNM stage samples. D Differential expression analysis of SELPLG across clinical T stage samples
    Figure Legend Snippet: The expression patterns of SELPLG across different cancer types and clinical stages based on analyses conducted using TIMER2 and other computational tools. A Expression analysis of SELPLG across various cancers with or without paracancer generated from TIMER ( https://cistrome.shinyapps.io/timer/ ). B Expression analysis of SELPLG across various cancers with or without paracancer generated from other analyses. C Analysis of SELPLG expression across TNM stage samples. D Differential expression analysis of SELPLG across clinical T stage samples

    Techniques Used: Expressing, Generated, Quantitative Proteomics

    Comprehensive analysis of SELPLG expression and subcellular localization across various cell types and conditions. A SELPLG expression profiles in diverse tumor cell lines, as derived from The Human Protein Atlas. This panel displays differential expression levels across multiple tumor-derived cell lines. B Schematic representation of SELPLG subcellular localization, highlighting its predominant distribution within key cellular compartments. C Immunofluorescence staining of SELPLG localization in HEL, JURKAT, and U2OS cell lines. Images obtained from The Human Protein Atlas illustrate specific subcellular structures where SELPLG is detected. D Relative SELPLG expression across various cell types, including endothelial cells, smooth muscle cells, fibroblasts, and macrophages. E Comparative enrichment of SELPLG expression among core cell populations, indicating the cell types with the highest and lowest levels of expression. F Single-cell RNA sequencing analysis of SELPLG expression across immune cell subsets. Expression variability is shown across T cells, plasma cells, and other immune cell types
    Figure Legend Snippet: Comprehensive analysis of SELPLG expression and subcellular localization across various cell types and conditions. A SELPLG expression profiles in diverse tumor cell lines, as derived from The Human Protein Atlas. This panel displays differential expression levels across multiple tumor-derived cell lines. B Schematic representation of SELPLG subcellular localization, highlighting its predominant distribution within key cellular compartments. C Immunofluorescence staining of SELPLG localization in HEL, JURKAT, and U2OS cell lines. Images obtained from The Human Protein Atlas illustrate specific subcellular structures where SELPLG is detected. D Relative SELPLG expression across various cell types, including endothelial cells, smooth muscle cells, fibroblasts, and macrophages. E Comparative enrichment of SELPLG expression among core cell populations, indicating the cell types with the highest and lowest levels of expression. F Single-cell RNA sequencing analysis of SELPLG expression across immune cell subsets. Expression variability is shown across T cells, plasma cells, and other immune cell types

    Techniques Used: Expressing, Derivative Assay, Quantitative Proteomics, Immunofluorescence, Staining, RNA Sequencing, Clinical Proteomics

    Comprehensive analysis of the mutational landscape associated with SELPLG across different cancer types. A Pan-cancer analysis of SELPLG gene mutation types in various types of cancers. The mutation types and mutant genes of the high- and low-expression groups of SELPLG in STAD ( B ) and COAD ( C ) were analyzed. D Correlation of SELPLG expression with TMB
    Figure Legend Snippet: Comprehensive analysis of the mutational landscape associated with SELPLG across different cancer types. A Pan-cancer analysis of SELPLG gene mutation types in various types of cancers. The mutation types and mutant genes of the high- and low-expression groups of SELPLG in STAD ( B ) and COAD ( C ) were analyzed. D Correlation of SELPLG expression with TMB

    Techniques Used: Mutagenesis, Expressing

    Univariate Cox regression analyses assessing the prognostic impact of SELPLG expression across different types of cancer. A The association between SELPLG expression levels and overall survival (OS) rates across various cancer types using the Cox regression model. B The univariate Cox regression analyses evaluating SELPLG in terms of disease-specific survival (DSS) rates across 33 types of cancer in the TCGA database. C The outcomes of univariate Cox regression analyses examining SELPLG in relation to disease-free interval (DFI) rates in diverse cancer types. D The results of univariate Cox regression analyses assessing SELPLG for progression-free interval (PFI) rates across various cancer types
    Figure Legend Snippet: Univariate Cox regression analyses assessing the prognostic impact of SELPLG expression across different types of cancer. A The association between SELPLG expression levels and overall survival (OS) rates across various cancer types using the Cox regression model. B The univariate Cox regression analyses evaluating SELPLG in terms of disease-specific survival (DSS) rates across 33 types of cancer in the TCGA database. C The outcomes of univariate Cox regression analyses examining SELPLG in relation to disease-free interval (DFI) rates in diverse cancer types. D The results of univariate Cox regression analyses assessing SELPLG for progression-free interval (PFI) rates across various cancer types

    Techniques Used: Expressing

    Gene Set Enrichment Analysis (GSEA) of hallmark pathways associated with SELPLG expression in pan-cancer cohorts. A Gene ontology (GO) enrichment analysis of SELPLG with immune-related functions. This panel displays the results of GO enrichment analysis, highlighting the biological processes, molecular functions, and cellular components associated with SELPLG expression, particularly focusing on immune-related functions. The analysis was performed using the GSEA method on pan-cancer data. B , D Correlations of SELPLG with immune-related pathways revealed by KEGG pathway analysis. These panels illustrate the significant immune-related pathways correlated with SELPLG expression, as identified through KEGG pathway analysis. C Hallmark pathway enrichment analysis of SELPLG ’s involvement in immune-related processes. The analysis was conducted using the GSEA method, and the results are visualized to show the normalized enrichment scores (NES) and false discovery rates (FDR) for each pathway
    Figure Legend Snippet: Gene Set Enrichment Analysis (GSEA) of hallmark pathways associated with SELPLG expression in pan-cancer cohorts. A Gene ontology (GO) enrichment analysis of SELPLG with immune-related functions. This panel displays the results of GO enrichment analysis, highlighting the biological processes, molecular functions, and cellular components associated with SELPLG expression, particularly focusing on immune-related functions. The analysis was performed using the GSEA method on pan-cancer data. B , D Correlations of SELPLG with immune-related pathways revealed by KEGG pathway analysis. These panels illustrate the significant immune-related pathways correlated with SELPLG expression, as identified through KEGG pathway analysis. C Hallmark pathway enrichment analysis of SELPLG ’s involvement in immune-related processes. The analysis was conducted using the GSEA method, and the results are visualized to show the normalized enrichment scores (NES) and false discovery rates (FDR) for each pathway

    Techniques Used: Expressing

    Association between SELPLG expression and immune cell infiltration levels across TCGA tumors based on TIMER2.0 and CIBERSORT analyses. A The correlation between SELPLG and infiltration level of CD8 + T cells using TIMER2 database. B The correlation between SELPLG and infiltration level of B cells using TIMER2 database. C The correlation between SELPLG and infiltration level of CD4 + T cells using TIMER2 database. D The correlation between SELPLG and infiltration level of Macrophage using TIMER2 database. E The correlation between SELPLG and infiltration level of MDSC using TIMER2 database. F The correlation between SELPLG and infiltration level of Tregs using TIMER2 database. G The correlation between SELPLG and infiltration level of indicated immune cells using data from CIBERSOFT database. *p < 0.05; **p < 0.01; ***p < 0.001
    Figure Legend Snippet: Association between SELPLG expression and immune cell infiltration levels across TCGA tumors based on TIMER2.0 and CIBERSORT analyses. A The correlation between SELPLG and infiltration level of CD8 + T cells using TIMER2 database. B The correlation between SELPLG and infiltration level of B cells using TIMER2 database. C The correlation between SELPLG and infiltration level of CD4 + T cells using TIMER2 database. D The correlation between SELPLG and infiltration level of Macrophage using TIMER2 database. E The correlation between SELPLG and infiltration level of MDSC using TIMER2 database. F The correlation between SELPLG and infiltration level of Tregs using TIMER2 database. G The correlation between SELPLG and infiltration level of indicated immune cells using data from CIBERSOFT database. *p < 0.05; **p < 0.01; ***p < 0.001

    Techniques Used: Expressing

    The correlations between SELPLG expression and 122 immunomodulators, including chemokines, chemokine receptors, MHC molecules, immunoinhibitors, and immunostimulators. A Heatmap representation of SELPLG correlations with chemokine and MHC genes. B Heatmap representation of SELPLG correlations with chemokine receptor genes. C SELPLG ’s correlations with immunoinhibitor genes are depicted in a heatmap, underscoring its interactions with key regulators of immune response modulation. D Heatmap representation of SELPLG correlations with immunostimulator genes
    Figure Legend Snippet: The correlations between SELPLG expression and 122 immunomodulators, including chemokines, chemokine receptors, MHC molecules, immunoinhibitors, and immunostimulators. A Heatmap representation of SELPLG correlations with chemokine and MHC genes. B Heatmap representation of SELPLG correlations with chemokine receptor genes. C SELPLG ’s correlations with immunoinhibitor genes are depicted in a heatmap, underscoring its interactions with key regulators of immune response modulation. D Heatmap representation of SELPLG correlations with immunostimulator genes

    Techniques Used: Expressing

    Related Articles

    RNA Expression:

    Article Title: Comprehensive analysis of SELPLG as a potential immunotherapy target and prognostic biomarker in oncology
    Article Snippet: SELPLG RNA expression across various cell types was profiled using data from the Human Protein Atlas (HPA).

    Expressing:

    Article Title: Comprehensive analysis of SELPLG as a potential immunotherapy target and prognostic biomarker in oncology
    Article Snippet: SELPLG RNA expression across various cell types was profiled using data from the Human Protein Atlas (HPA).

    Generated:

    Article Title: Comprehensive analysis of SELPLG as a potential immunotherapy target and prognostic biomarker in oncology
    Article Snippet: SELPLG RNA expression across various cell types was profiled using data from the Human Protein Atlas (HPA).

    Quantitative Proteomics:

    Article Title: Comprehensive analysis of SELPLG as a potential immunotherapy target and prognostic biomarker in oncology
    Article Snippet: SELPLG RNA expression across various cell types was profiled using data from the Human Protein Atlas (HPA).

    Derivative Assay:

    Article Title: Comprehensive analysis of SELPLG as a potential immunotherapy target and prognostic biomarker in oncology
    Article Snippet: SELPLG RNA expression across various cell types was profiled using data from the Human Protein Atlas (HPA).

    Immunofluorescence:

    Article Title: Comprehensive analysis of SELPLG as a potential immunotherapy target and prognostic biomarker in oncology
    Article Snippet: SELPLG RNA expression across various cell types was profiled using data from the Human Protein Atlas (HPA).

    Staining:

    Article Title: Comprehensive analysis of SELPLG as a potential immunotherapy target and prognostic biomarker in oncology
    Article Snippet: SELPLG RNA expression across various cell types was profiled using data from the Human Protein Atlas (HPA).

    RNA Sequencing:

    Article Title: Comprehensive analysis of SELPLG as a potential immunotherapy target and prognostic biomarker in oncology
    Article Snippet: SELPLG RNA expression across various cell types was profiled using data from the Human Protein Atlas (HPA).

    Clinical Proteomics:

    Article Title: Comprehensive analysis of SELPLG as a potential immunotherapy target and prognostic biomarker in oncology
    Article Snippet: SELPLG RNA expression across various cell types was profiled using data from the Human Protein Atlas (HPA).

    Mutagenesis:

    Article Title: Comprehensive analysis of SELPLG as a potential immunotherapy target and prognostic biomarker in oncology
    Article Snippet: SELPLG RNA expression across various cell types was profiled using data from the Human Protein Atlas (HPA).



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    selplg rna expression profiling data  (Human Protein Atlas)
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    Human Protein Atlas selplg rna expression profiling data
    The expression patterns of <t>SELPLG</t> across different cancer types and clinical stages based on analyses conducted using TIMER2 and other computational tools. A Expression analysis of SELPLG across various cancers with or without paracancer generated from TIMER ( https://cistrome.shinyapps.io/timer/ ). B Expression analysis of SELPLG across various cancers with or without paracancer generated from other analyses. C Analysis of SELPLG expression across TNM stage samples. D Differential expression analysis of SELPLG across clinical T stage samples
    Selplg Rna Expression Profiling Data, supplied by Human Protein Atlas, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/selplg+rna+expression+profiling+data/selplg+rna+expression+profiling+data/pmc12162434-94-0-13
    Average 90 stars, based on 1 article reviews
    selplg rna expression profiling data - by Bioz Stars, 2026-09
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    The expression patterns of SELPLG across different cancer types and clinical stages based on analyses conducted using TIMER2 and other computational tools. A Expression analysis of SELPLG across various cancers with or without paracancer generated from TIMER ( https://cistrome.shinyapps.io/timer/ ). B Expression analysis of SELPLG across various cancers with or without paracancer generated from other analyses. C Analysis of SELPLG expression across TNM stage samples. D Differential expression analysis of SELPLG across clinical T stage samples

    Journal: Discover Oncology

    Article Title: Comprehensive analysis of SELPLG as a potential immunotherapy target and prognostic biomarker in oncology

    doi: 10.1007/s12672-025-02934-0

    Figure Lengend Snippet: The expression patterns of SELPLG across different cancer types and clinical stages based on analyses conducted using TIMER2 and other computational tools. A Expression analysis of SELPLG across various cancers with or without paracancer generated from TIMER ( https://cistrome.shinyapps.io/timer/ ). B Expression analysis of SELPLG across various cancers with or without paracancer generated from other analyses. C Analysis of SELPLG expression across TNM stage samples. D Differential expression analysis of SELPLG across clinical T stage samples

    Article Snippet: SELPLG RNA expression across various cell types was profiled using data from the Human Protein Atlas (HPA).

    Techniques: Expressing, Generated, Quantitative Proteomics

    Comprehensive analysis of SELPLG expression and subcellular localization across various cell types and conditions. A SELPLG expression profiles in diverse tumor cell lines, as derived from The Human Protein Atlas. This panel displays differential expression levels across multiple tumor-derived cell lines. B Schematic representation of SELPLG subcellular localization, highlighting its predominant distribution within key cellular compartments. C Immunofluorescence staining of SELPLG localization in HEL, JURKAT, and U2OS cell lines. Images obtained from The Human Protein Atlas illustrate specific subcellular structures where SELPLG is detected. D Relative SELPLG expression across various cell types, including endothelial cells, smooth muscle cells, fibroblasts, and macrophages. E Comparative enrichment of SELPLG expression among core cell populations, indicating the cell types with the highest and lowest levels of expression. F Single-cell RNA sequencing analysis of SELPLG expression across immune cell subsets. Expression variability is shown across T cells, plasma cells, and other immune cell types

    Journal: Discover Oncology

    Article Title: Comprehensive analysis of SELPLG as a potential immunotherapy target and prognostic biomarker in oncology

    doi: 10.1007/s12672-025-02934-0

    Figure Lengend Snippet: Comprehensive analysis of SELPLG expression and subcellular localization across various cell types and conditions. A SELPLG expression profiles in diverse tumor cell lines, as derived from The Human Protein Atlas. This panel displays differential expression levels across multiple tumor-derived cell lines. B Schematic representation of SELPLG subcellular localization, highlighting its predominant distribution within key cellular compartments. C Immunofluorescence staining of SELPLG localization in HEL, JURKAT, and U2OS cell lines. Images obtained from The Human Protein Atlas illustrate specific subcellular structures where SELPLG is detected. D Relative SELPLG expression across various cell types, including endothelial cells, smooth muscle cells, fibroblasts, and macrophages. E Comparative enrichment of SELPLG expression among core cell populations, indicating the cell types with the highest and lowest levels of expression. F Single-cell RNA sequencing analysis of SELPLG expression across immune cell subsets. Expression variability is shown across T cells, plasma cells, and other immune cell types

    Article Snippet: SELPLG RNA expression across various cell types was profiled using data from the Human Protein Atlas (HPA).

    Techniques: Expressing, Derivative Assay, Quantitative Proteomics, Immunofluorescence, Staining, RNA Sequencing, Clinical Proteomics

    Comprehensive analysis of the mutational landscape associated with SELPLG across different cancer types. A Pan-cancer analysis of SELPLG gene mutation types in various types of cancers. The mutation types and mutant genes of the high- and low-expression groups of SELPLG in STAD ( B ) and COAD ( C ) were analyzed. D Correlation of SELPLG expression with TMB

    Journal: Discover Oncology

    Article Title: Comprehensive analysis of SELPLG as a potential immunotherapy target and prognostic biomarker in oncology

    doi: 10.1007/s12672-025-02934-0

    Figure Lengend Snippet: Comprehensive analysis of the mutational landscape associated with SELPLG across different cancer types. A Pan-cancer analysis of SELPLG gene mutation types in various types of cancers. The mutation types and mutant genes of the high- and low-expression groups of SELPLG in STAD ( B ) and COAD ( C ) were analyzed. D Correlation of SELPLG expression with TMB

    Article Snippet: SELPLG RNA expression across various cell types was profiled using data from the Human Protein Atlas (HPA).

    Techniques: Mutagenesis, Expressing

    Univariate Cox regression analyses assessing the prognostic impact of SELPLG expression across different types of cancer. A The association between SELPLG expression levels and overall survival (OS) rates across various cancer types using the Cox regression model. B The univariate Cox regression analyses evaluating SELPLG in terms of disease-specific survival (DSS) rates across 33 types of cancer in the TCGA database. C The outcomes of univariate Cox regression analyses examining SELPLG in relation to disease-free interval (DFI) rates in diverse cancer types. D The results of univariate Cox regression analyses assessing SELPLG for progression-free interval (PFI) rates across various cancer types

    Journal: Discover Oncology

    Article Title: Comprehensive analysis of SELPLG as a potential immunotherapy target and prognostic biomarker in oncology

    doi: 10.1007/s12672-025-02934-0

    Figure Lengend Snippet: Univariate Cox regression analyses assessing the prognostic impact of SELPLG expression across different types of cancer. A The association between SELPLG expression levels and overall survival (OS) rates across various cancer types using the Cox regression model. B The univariate Cox regression analyses evaluating SELPLG in terms of disease-specific survival (DSS) rates across 33 types of cancer in the TCGA database. C The outcomes of univariate Cox regression analyses examining SELPLG in relation to disease-free interval (DFI) rates in diverse cancer types. D The results of univariate Cox regression analyses assessing SELPLG for progression-free interval (PFI) rates across various cancer types

    Article Snippet: SELPLG RNA expression across various cell types was profiled using data from the Human Protein Atlas (HPA).

    Techniques: Expressing

    Gene Set Enrichment Analysis (GSEA) of hallmark pathways associated with SELPLG expression in pan-cancer cohorts. A Gene ontology (GO) enrichment analysis of SELPLG with immune-related functions. This panel displays the results of GO enrichment analysis, highlighting the biological processes, molecular functions, and cellular components associated with SELPLG expression, particularly focusing on immune-related functions. The analysis was performed using the GSEA method on pan-cancer data. B , D Correlations of SELPLG with immune-related pathways revealed by KEGG pathway analysis. These panels illustrate the significant immune-related pathways correlated with SELPLG expression, as identified through KEGG pathway analysis. C Hallmark pathway enrichment analysis of SELPLG ’s involvement in immune-related processes. The analysis was conducted using the GSEA method, and the results are visualized to show the normalized enrichment scores (NES) and false discovery rates (FDR) for each pathway

    Journal: Discover Oncology

    Article Title: Comprehensive analysis of SELPLG as a potential immunotherapy target and prognostic biomarker in oncology

    doi: 10.1007/s12672-025-02934-0

    Figure Lengend Snippet: Gene Set Enrichment Analysis (GSEA) of hallmark pathways associated with SELPLG expression in pan-cancer cohorts. A Gene ontology (GO) enrichment analysis of SELPLG with immune-related functions. This panel displays the results of GO enrichment analysis, highlighting the biological processes, molecular functions, and cellular components associated with SELPLG expression, particularly focusing on immune-related functions. The analysis was performed using the GSEA method on pan-cancer data. B , D Correlations of SELPLG with immune-related pathways revealed by KEGG pathway analysis. These panels illustrate the significant immune-related pathways correlated with SELPLG expression, as identified through KEGG pathway analysis. C Hallmark pathway enrichment analysis of SELPLG ’s involvement in immune-related processes. The analysis was conducted using the GSEA method, and the results are visualized to show the normalized enrichment scores (NES) and false discovery rates (FDR) for each pathway

    Article Snippet: SELPLG RNA expression across various cell types was profiled using data from the Human Protein Atlas (HPA).

    Techniques: Expressing

    Association between SELPLG expression and immune cell infiltration levels across TCGA tumors based on TIMER2.0 and CIBERSORT analyses. A The correlation between SELPLG and infiltration level of CD8 + T cells using TIMER2 database. B The correlation between SELPLG and infiltration level of B cells using TIMER2 database. C The correlation between SELPLG and infiltration level of CD4 + T cells using TIMER2 database. D The correlation between SELPLG and infiltration level of Macrophage using TIMER2 database. E The correlation between SELPLG and infiltration level of MDSC using TIMER2 database. F The correlation between SELPLG and infiltration level of Tregs using TIMER2 database. G The correlation between SELPLG and infiltration level of indicated immune cells using data from CIBERSOFT database. *p < 0.05; **p < 0.01; ***p < 0.001

    Journal: Discover Oncology

    Article Title: Comprehensive analysis of SELPLG as a potential immunotherapy target and prognostic biomarker in oncology

    doi: 10.1007/s12672-025-02934-0

    Figure Lengend Snippet: Association between SELPLG expression and immune cell infiltration levels across TCGA tumors based on TIMER2.0 and CIBERSORT analyses. A The correlation between SELPLG and infiltration level of CD8 + T cells using TIMER2 database. B The correlation between SELPLG and infiltration level of B cells using TIMER2 database. C The correlation between SELPLG and infiltration level of CD4 + T cells using TIMER2 database. D The correlation between SELPLG and infiltration level of Macrophage using TIMER2 database. E The correlation between SELPLG and infiltration level of MDSC using TIMER2 database. F The correlation between SELPLG and infiltration level of Tregs using TIMER2 database. G The correlation between SELPLG and infiltration level of indicated immune cells using data from CIBERSOFT database. *p < 0.05; **p < 0.01; ***p < 0.001

    Article Snippet: SELPLG RNA expression across various cell types was profiled using data from the Human Protein Atlas (HPA).

    Techniques: Expressing

    The correlations between SELPLG expression and 122 immunomodulators, including chemokines, chemokine receptors, MHC molecules, immunoinhibitors, and immunostimulators. A Heatmap representation of SELPLG correlations with chemokine and MHC genes. B Heatmap representation of SELPLG correlations with chemokine receptor genes. C SELPLG ’s correlations with immunoinhibitor genes are depicted in a heatmap, underscoring its interactions with key regulators of immune response modulation. D Heatmap representation of SELPLG correlations with immunostimulator genes

    Journal: Discover Oncology

    Article Title: Comprehensive analysis of SELPLG as a potential immunotherapy target and prognostic biomarker in oncology

    doi: 10.1007/s12672-025-02934-0

    Figure Lengend Snippet: The correlations between SELPLG expression and 122 immunomodulators, including chemokines, chemokine receptors, MHC molecules, immunoinhibitors, and immunostimulators. A Heatmap representation of SELPLG correlations with chemokine and MHC genes. B Heatmap representation of SELPLG correlations with chemokine receptor genes. C SELPLG ’s correlations with immunoinhibitor genes are depicted in a heatmap, underscoring its interactions with key regulators of immune response modulation. D Heatmap representation of SELPLG correlations with immunostimulator genes

    Article Snippet: SELPLG RNA expression across various cell types was profiled using data from the Human Protein Atlas (HPA).

    Techniques: Expressing