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Human Protein Atlas immunofluorescence staining
Immunofluorescence Staining, supplied by Human Protein Atlas, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/immunofluorescence+staining/data+immunofluorescence/pm42287003-41-13-19
Average 86 stars, based on 1 article reviews
immunofluorescence staining - by Bioz Stars, 2026-09
86/100 stars

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Related Articles

Immunofluorescence:

Article Title: NT5E (CD73) as a prognostic biomarker and therapeutic target associated with immune infiltration in lung adenocarcinoma
Article Snippet: The 3D structure of the NT5E protein was retrieved from the AlphaFold Protein Structure Database, a resource developed by DeepMind and EMBL-EBI . .. To elucidate the subcellular localization of NT5E in cancerous cells, we utilized immunofluorescence staining on the human cancer cell line A-431, with images sourced from the Human Protein Atlas (HPA) . ..

Article Title: Single-cell RNA sequencing reveals small extracellular vesicles derived from malignant cells that contribute to angiogenesis in human breast cancers
Article Snippet: .. We conducted immunofluorescence staining to confirm the distribution of malignant cell subclones in tissues (Fig. H), and obtained immunohistochemical images of these eleven markers in breast cancer tissues from the Human Protein Atlas database (HPA) (Fig. ..

Article Title: SGO1 and SGO2 are Associated With Disease Progression and an Immunosuppressive Microenvironment in Papillary Renal Cell Carcinoma.
Article Snippet: .. The distribution and subcellular localization of SGO1 and SGO2 proteins were examined through immunofluorescence staining using data from the Human Protein Atlas (THPA; https:// www. prote inatl as. org/ ). ..

Article Title: CD47-SIRPα axis mediated by ncRNA correlates with poor prognosis, immune microenvironment dysregulation and lipid metabolism modulation in hepatocellular carcinoma.
Article Snippet: .. Furthermore, immunofluorescence staining from the Human Protein Atlas (HPA) database (https://www. proteinatlas.org, accessed on 2025.3.15) in A431 (epidermoid carcinoma) and U2OS (osteosarcoma) cells revealed consistent plasma membrane localisation in both cell models. ..

Article Title: Essential genes analysis reveals small ribosomal subunit protein eS28 may be a prognostic factor and potential vulnerability in osteosarcoma
Article Snippet: .. Immunofluorescence staining of U2OS cells from Human Protein Atlas (HPA) revealed cytoplasmic localization of eS28 proteins, with minimal staining in the nucleus ( c). ..

Article Title: NT5E (CD73) as a prognostic biomarker and therapeutic target associated with immune infiltration in lung adenocarcinoma.
Article Snippet: Structure, localization, and expression analysis of the NT5E protein The 3D structure of the NT5E protein was retrieved from the AlphaFold Protein Structure Database, a resource developed by DeepMind and EMBL-EBI28. .. To elucidate the subcellular localization of NT5E in cancerous cells, we utilized immunofluorescence staining on the human cancer cell line A-431, with images sourced from the Human Protein Atlas (HPA)29. ..

Article Title: Identification of DCAF5 as a novel cancer prognostic and immunotherapy biomarker through pan-cancer analysis and renal clear cell carcinoma clinical data validation
Article Snippet: .. B The intracellular localization pattern of DCAF5 protein was determined using immunofluorescence staining, revealing nuclear, microtubular, and endoplasmic reticulum staining in HEL, REH, and U-2 OS cell lines, as extracted from the Human Protein Atlas database. ..

Article Title: Identification of m6A suppressor EIF4A3 as a novel cancer prognostic and immunotherapy biomarker through bladder cancer clinical data validation and pan-cancer analysis
Article Snippet: .. Figure 2 Topology, localization and protein interaction network of EIF4A3 proteins. ( A ) The topology of EIF4A3 proteins is depicted, which indicates that this protein predominantly localizes to intracellular membranes. ( B ) The intracellular localization pattern of EIF4A3 protein was determined using immunofluorescence staining, revealing nuclear, microtubular, and endoplasmic reticulum staining in HEL, REH, and U-2 OS cell lines, as extracted from the Human Protein Atlas database. ( C ) The distribution of EIF4A3 expression, which was mainly detected in the nucleoplasm and cytosol. ( D ) The protein interaction network of EIF4A3 proteins, highlighting the various protein–protein interactions and associations gleaned from the String database. ..

Staining:

Article Title: NT5E (CD73) as a prognostic biomarker and therapeutic target associated with immune infiltration in lung adenocarcinoma
Article Snippet: The 3D structure of the NT5E protein was retrieved from the AlphaFold Protein Structure Database, a resource developed by DeepMind and EMBL-EBI . .. To elucidate the subcellular localization of NT5E in cancerous cells, we utilized immunofluorescence staining on the human cancer cell line A-431, with images sourced from the Human Protein Atlas (HPA) . ..

Article Title: Single-cell RNA sequencing reveals small extracellular vesicles derived from malignant cells that contribute to angiogenesis in human breast cancers
Article Snippet: .. We conducted immunofluorescence staining to confirm the distribution of malignant cell subclones in tissues (Fig. H), and obtained immunohistochemical images of these eleven markers in breast cancer tissues from the Human Protein Atlas database (HPA) (Fig. ..

Article Title: SGO1 and SGO2 are Associated With Disease Progression and an Immunosuppressive Microenvironment in Papillary Renal Cell Carcinoma.
Article Snippet: .. The distribution and subcellular localization of SGO1 and SGO2 proteins were examined through immunofluorescence staining using data from the Human Protein Atlas (THPA; https:// www. prote inatl as. org/ ). ..

Article Title: CD47-SIRPα axis mediated by ncRNA correlates with poor prognosis, immune microenvironment dysregulation and lipid metabolism modulation in hepatocellular carcinoma.
Article Snippet: .. Furthermore, immunofluorescence staining from the Human Protein Atlas (HPA) database (https://www. proteinatlas.org, accessed on 2025.3.15) in A431 (epidermoid carcinoma) and U2OS (osteosarcoma) cells revealed consistent plasma membrane localisation in both cell models. ..

Article Title: Essential genes analysis reveals small ribosomal subunit protein eS28 may be a prognostic factor and potential vulnerability in osteosarcoma
Article Snippet: .. Immunofluorescence staining of U2OS cells from Human Protein Atlas (HPA) revealed cytoplasmic localization of eS28 proteins, with minimal staining in the nucleus ( c). ..

Article Title: NT5E (CD73) as a prognostic biomarker and therapeutic target associated with immune infiltration in lung adenocarcinoma.
Article Snippet: Structure, localization, and expression analysis of the NT5E protein The 3D structure of the NT5E protein was retrieved from the AlphaFold Protein Structure Database, a resource developed by DeepMind and EMBL-EBI28. .. To elucidate the subcellular localization of NT5E in cancerous cells, we utilized immunofluorescence staining on the human cancer cell line A-431, with images sourced from the Human Protein Atlas (HPA)29. ..

Article Title: Identification of DCAF5 as a novel cancer prognostic and immunotherapy biomarker through pan-cancer analysis and renal clear cell carcinoma clinical data validation
Article Snippet: .. B The intracellular localization pattern of DCAF5 protein was determined using immunofluorescence staining, revealing nuclear, microtubular, and endoplasmic reticulum staining in HEL, REH, and U-2 OS cell lines, as extracted from the Human Protein Atlas database. ..

Article Title: Identification of m6A suppressor EIF4A3 as a novel cancer prognostic and immunotherapy biomarker through bladder cancer clinical data validation and pan-cancer analysis
Article Snippet: .. Figure 2 Topology, localization and protein interaction network of EIF4A3 proteins. ( A ) The topology of EIF4A3 proteins is depicted, which indicates that this protein predominantly localizes to intracellular membranes. ( B ) The intracellular localization pattern of EIF4A3 protein was determined using immunofluorescence staining, revealing nuclear, microtubular, and endoplasmic reticulum staining in HEL, REH, and U-2 OS cell lines, as extracted from the Human Protein Atlas database. ( C ) The distribution of EIF4A3 expression, which was mainly detected in the nucleoplasm and cytosol. ( D ) The protein interaction network of EIF4A3 proteins, highlighting the various protein–protein interactions and associations gleaned from the String database. ..

Immunohistochemical staining:

Article Title: Single-cell RNA sequencing reveals small extracellular vesicles derived from malignant cells that contribute to angiogenesis in human breast cancers
Article Snippet: .. We conducted immunofluorescence staining to confirm the distribution of malignant cell subclones in tissues (Fig. H), and obtained immunohistochemical images of these eleven markers in breast cancer tissues from the Human Protein Atlas database (HPA) (Fig. ..

Clinical Proteomics:

Article Title: CD47-SIRPα axis mediated by ncRNA correlates with poor prognosis, immune microenvironment dysregulation and lipid metabolism modulation in hepatocellular carcinoma.
Article Snippet: .. Furthermore, immunofluorescence staining from the Human Protein Atlas (HPA) database (https://www. proteinatlas.org, accessed on 2025.3.15) in A431 (epidermoid carcinoma) and U2OS (osteosarcoma) cells revealed consistent plasma membrane localisation in both cell models. ..

Membrane:

Article Title: CD47-SIRPα axis mediated by ncRNA correlates with poor prognosis, immune microenvironment dysregulation and lipid metabolism modulation in hepatocellular carcinoma.
Article Snippet: .. Furthermore, immunofluorescence staining from the Human Protein Atlas (HPA) database (https://www. proteinatlas.org, accessed on 2025.3.15) in A431 (epidermoid carcinoma) and U2OS (osteosarcoma) cells revealed consistent plasma membrane localisation in both cell models. ..

Expressing:

Article Title: Identification of m6A suppressor EIF4A3 as a novel cancer prognostic and immunotherapy biomarker through bladder cancer clinical data validation and pan-cancer analysis
Article Snippet: .. Figure 2 Topology, localization and protein interaction network of EIF4A3 proteins. ( A ) The topology of EIF4A3 proteins is depicted, which indicates that this protein predominantly localizes to intracellular membranes. ( B ) The intracellular localization pattern of EIF4A3 protein was determined using immunofluorescence staining, revealing nuclear, microtubular, and endoplasmic reticulum staining in HEL, REH, and U-2 OS cell lines, as extracted from the Human Protein Atlas database. ( C ) The distribution of EIF4A3 expression, which was mainly detected in the nucleoplasm and cytosol. ( D ) The protein interaction network of EIF4A3 proteins, highlighting the various protein–protein interactions and associations gleaned from the String database. ..

Protein-Protein interactions:

Article Title: Identification of m6A suppressor EIF4A3 as a novel cancer prognostic and immunotherapy biomarker through bladder cancer clinical data validation and pan-cancer analysis
Article Snippet: .. Figure 2 Topology, localization and protein interaction network of EIF4A3 proteins. ( A ) The topology of EIF4A3 proteins is depicted, which indicates that this protein predominantly localizes to intracellular membranes. ( B ) The intracellular localization pattern of EIF4A3 protein was determined using immunofluorescence staining, revealing nuclear, microtubular, and endoplasmic reticulum staining in HEL, REH, and U-2 OS cell lines, as extracted from the Human Protein Atlas database. ( C ) The distribution of EIF4A3 expression, which was mainly detected in the nucleoplasm and cytosol. ( D ) The protein interaction network of EIF4A3 proteins, highlighting the various protein–protein interactions and associations gleaned from the String database. ..



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Bilayer hydrogel orchestrates inflammatory cell dynamics during the early inflammation phase of diabetic wound healing. a Experimental timeline for assay of early neutrophil recruitment. b Immunohistochemical staining for Ly-6G in wounds at 8 h, 1 d and 3 d after injury. Diabetic wounds were treated with SP/IL-10@Bilayer, SP@Bilayer, IL-10@Bilayer, and saline solution (Model), respectively. Healthy mice treated with saline solution were set as Normal. c Quantitative analysis of Ly-6G + cells in each group. d Relative expression of CXCL-1 on day 1. e Relative expression of MCP-1 on day 1. f Experimental timeline for assay of M1 macrophage infiltration. g <t>Immunofluorescence</t> staining for iNOS in wounds on days 1, 3 and 6 after injury. h Quantitative analysis of iNOS + cells in each group. i-k Relative expressions of macrophage-associated pro-inflammatory cytokines including TNF-α, IL-1β and IL-6 on day 3. l Schematic illustrating the dynamic modulation of inflammatory cells during the early inflammation phase of diabetic wounds by SP/IL-10@Bilayer. All data were generated from at least three independent experiments and presented as the means ± standard deviation. Statistical analysis was performed by one-way ANOVA. # means significant difference compared to the normal group. #p < 0.05, ##p < 0.01 and ###p < 0.001; ∗ means significant difference compared to the model group. ∗p < 0.05; & means significant difference compared to SP/IL-10@Bilayer. & p < 0.05 and && p < 0.01.
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Bilayer hydrogel orchestrates inflammatory cell dynamics during the early inflammation phase of diabetic wound healing. a Experimental timeline for assay of early neutrophil recruitment. b Immunohistochemical staining for Ly-6G in wounds at 8 h, 1 d and 3 d after injury. Diabetic wounds were treated with SP/IL-10@Bilayer, SP@Bilayer, IL-10@Bilayer, and saline solution (Model), respectively. Healthy mice treated with saline solution were set as Normal. c Quantitative analysis of Ly-6G + cells in each group. d Relative expression of CXCL-1 on day 1. e Relative expression of MCP-1 on day 1. f Experimental timeline for assay of M1 macrophage infiltration. g <t>Immunofluorescence</t> staining for iNOS in wounds on days 1, 3 and 6 after injury. h Quantitative analysis of iNOS + cells in each group. i-k Relative expressions of macrophage-associated pro-inflammatory cytokines including TNF-α, IL-1β and IL-6 on day 3. l Schematic illustrating the dynamic modulation of inflammatory cells during the early inflammation phase of diabetic wounds by SP/IL-10@Bilayer. All data were generated from at least three independent experiments and presented as the means ± standard deviation. Statistical analysis was performed by one-way ANOVA. # means significant difference compared to the normal group. #p < 0.05, ##p < 0.01 and ###p < 0.001; ∗ means significant difference compared to the model group. ∗p < 0.05; & means significant difference compared to SP/IL-10@Bilayer. & p < 0.05 and && p < 0.01.
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Bilayer hydrogel orchestrates inflammatory cell dynamics during the early inflammation phase of diabetic wound healing. a Experimental timeline for assay of early neutrophil recruitment. b Immunohistochemical staining for Ly-6G in wounds at 8 h, 1 d and 3 d after injury. Diabetic wounds were treated with SP/IL-10@Bilayer, SP@Bilayer, IL-10@Bilayer, and saline solution (Model), respectively. Healthy mice treated with saline solution were set as Normal. c Quantitative analysis of Ly-6G + cells in each group. d Relative expression of CXCL-1 on day 1. e Relative expression of MCP-1 on day 1. f Experimental timeline for assay of M1 macrophage infiltration. g <t>Immunofluorescence</t> staining for iNOS in wounds on days 1, 3 and 6 after injury. h Quantitative analysis of iNOS + cells in each group. i-k Relative expressions of macrophage-associated pro-inflammatory cytokines including TNF-α, IL-1β and IL-6 on day 3. l Schematic illustrating the dynamic modulation of inflammatory cells during the early inflammation phase of diabetic wounds by SP/IL-10@Bilayer. All data were generated from at least three independent experiments and presented as the means ± standard deviation. Statistical analysis was performed by one-way ANOVA. # means significant difference compared to the normal group. #p < 0.05, ##p < 0.01 and ###p < 0.001; ∗ means significant difference compared to the model group. ∗p < 0.05; & means significant difference compared to SP/IL-10@Bilayer. & p < 0.05 and && p < 0.01.
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Bilayer hydrogel orchestrates inflammatory cell dynamics during the early inflammation phase of diabetic wound healing. a Experimental timeline for assay of early neutrophil recruitment. b Immunohistochemical staining for Ly-6G in wounds at 8 h, 1 d and 3 d after injury. Diabetic wounds were treated with SP/IL-10@Bilayer, SP@Bilayer, IL-10@Bilayer, and saline solution (Model), respectively. Healthy mice treated with saline solution were set as Normal. c Quantitative analysis of Ly-6G + cells in each group. d Relative expression of CXCL-1 on day 1. e Relative expression of MCP-1 on day 1. f Experimental timeline for assay of M1 macrophage infiltration. g <t>Immunofluorescence</t> staining for iNOS in wounds on days 1, 3 and 6 after injury. h Quantitative analysis of iNOS + cells in each group. i-k Relative expressions of macrophage-associated pro-inflammatory cytokines including TNF-α, IL-1β and IL-6 on day 3. l Schematic illustrating the dynamic modulation of inflammatory cells during the early inflammation phase of diabetic wounds by SP/IL-10@Bilayer. All data were generated from at least three independent experiments and presented as the means ± standard deviation. Statistical analysis was performed by one-way ANOVA. # means significant difference compared to the normal group. #p < 0.05, ##p < 0.01 and ###p < 0.001; ∗ means significant difference compared to the model group. ∗p < 0.05; & means significant difference compared to SP/IL-10@Bilayer. & p < 0.05 and && p < 0.01.
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Image Search Results


Bilayer hydrogel orchestrates inflammatory cell dynamics during the early inflammation phase of diabetic wound healing. a Experimental timeline for assay of early neutrophil recruitment. b Immunohistochemical staining for Ly-6G in wounds at 8 h, 1 d and 3 d after injury. Diabetic wounds were treated with SP/IL-10@Bilayer, SP@Bilayer, IL-10@Bilayer, and saline solution (Model), respectively. Healthy mice treated with saline solution were set as Normal. c Quantitative analysis of Ly-6G + cells in each group. d Relative expression of CXCL-1 on day 1. e Relative expression of MCP-1 on day 1. f Experimental timeline for assay of M1 macrophage infiltration. g Immunofluorescence staining for iNOS in wounds on days 1, 3 and 6 after injury. h Quantitative analysis of iNOS + cells in each group. i-k Relative expressions of macrophage-associated pro-inflammatory cytokines including TNF-α, IL-1β and IL-6 on day 3. l Schematic illustrating the dynamic modulation of inflammatory cells during the early inflammation phase of diabetic wounds by SP/IL-10@Bilayer. All data were generated from at least three independent experiments and presented as the means ± standard deviation. Statistical analysis was performed by one-way ANOVA. # means significant difference compared to the normal group. #p < 0.05, ##p < 0.01 and ###p < 0.001; ∗ means significant difference compared to the model group. ∗p < 0.05; & means significant difference compared to SP/IL-10@Bilayer. & p < 0.05 and && p < 0.01.

Journal: Bioactive Materials

Article Title: Skin-mimetic bilayer hydrogel normalizes diabetic wound healing by orchestrating inflammatory cell dynamics: An early intervention strategy

doi: 10.1016/j.bioactmat.2026.02.025

Figure Lengend Snippet: Bilayer hydrogel orchestrates inflammatory cell dynamics during the early inflammation phase of diabetic wound healing. a Experimental timeline for assay of early neutrophil recruitment. b Immunohistochemical staining for Ly-6G in wounds at 8 h, 1 d and 3 d after injury. Diabetic wounds were treated with SP/IL-10@Bilayer, SP@Bilayer, IL-10@Bilayer, and saline solution (Model), respectively. Healthy mice treated with saline solution were set as Normal. c Quantitative analysis of Ly-6G + cells in each group. d Relative expression of CXCL-1 on day 1. e Relative expression of MCP-1 on day 1. f Experimental timeline for assay of M1 macrophage infiltration. g Immunofluorescence staining for iNOS in wounds on days 1, 3 and 6 after injury. h Quantitative analysis of iNOS + cells in each group. i-k Relative expressions of macrophage-associated pro-inflammatory cytokines including TNF-α, IL-1β and IL-6 on day 3. l Schematic illustrating the dynamic modulation of inflammatory cells during the early inflammation phase of diabetic wounds by SP/IL-10@Bilayer. All data were generated from at least three independent experiments and presented as the means ± standard deviation. Statistical analysis was performed by one-way ANOVA. # means significant difference compared to the normal group. #p < 0.05, ##p < 0.01 and ###p < 0.001; ∗ means significant difference compared to the model group. ∗p < 0.05; & means significant difference compared to SP/IL-10@Bilayer. & p < 0.05 and && p < 0.01.

Article Snippet: The infiltration of pro-inflammatory (M1) macrophages and polarization of M2c macrophages were analyzed by immunofluorescence staining using antibodies against iNOS (Servicebio, GB11119) and CD163 (Servicebio, GB14027), respectively.

Techniques: Immunohistochemical staining, Staining, Saline, Expressing, Immunofluorescence, Generated, Standard Deviation

Bilayer hydrogel modulates M2c macrophage polarization in the later healing phase of diabetic wound. a Experimental timeline for assay of M2c macrophage polarization. b Immunofluorescence staining for CD163 in wounds on days 3, 6, 9 and 12 after injury. c Quantitative analysis of CD163 + cells in each group. d-f Relative expression of MerTK, IL-10, and TGF-β1 on day 6. g Schematic illustration of M2c macrophage polarization regulated by SP/IL-10@Bilayer and its contribution to inflammation resolution. All data were generated from three independent experiments and presented as the means ± standard deviation. Statistical analysis was performed by one-way ANOVA. # means significant difference compared to the normal group. #p < 0.05 and ##p < 0.01; ∗ means significant difference compared to model group. ∗p < 0.05, ∗∗p < 0.01 and ∗∗∗p < 0.001; & means significant difference compared to SP/IL-10@Bilayer group. & p < 0.05.

Journal: Bioactive Materials

Article Title: Skin-mimetic bilayer hydrogel normalizes diabetic wound healing by orchestrating inflammatory cell dynamics: An early intervention strategy

doi: 10.1016/j.bioactmat.2026.02.025

Figure Lengend Snippet: Bilayer hydrogel modulates M2c macrophage polarization in the later healing phase of diabetic wound. a Experimental timeline for assay of M2c macrophage polarization. b Immunofluorescence staining for CD163 in wounds on days 3, 6, 9 and 12 after injury. c Quantitative analysis of CD163 + cells in each group. d-f Relative expression of MerTK, IL-10, and TGF-β1 on day 6. g Schematic illustration of M2c macrophage polarization regulated by SP/IL-10@Bilayer and its contribution to inflammation resolution. All data were generated from three independent experiments and presented as the means ± standard deviation. Statistical analysis was performed by one-way ANOVA. # means significant difference compared to the normal group. #p < 0.05 and ##p < 0.01; ∗ means significant difference compared to model group. ∗p < 0.05, ∗∗p < 0.01 and ∗∗∗p < 0.001; & means significant difference compared to SP/IL-10@Bilayer group. & p < 0.05.

Article Snippet: The infiltration of pro-inflammatory (M1) macrophages and polarization of M2c macrophages were analyzed by immunofluorescence staining using antibodies against iNOS (Servicebio, GB11119) and CD163 (Servicebio, GB14027), respectively.

Techniques: Immunofluorescence, Staining, Expressing, Generated, Standard Deviation