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il 13 ek213  (Multi Sciences (Lianke) Biotech Co Ltd)


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    Multi Sciences (Lianke) Biotech Co Ltd il 13 ek213
    Il 13 Ek213, supplied by Multi Sciences (Lianke) Biotech Co Ltd, used in various techniques. Bioz Stars score: 94/100, based on 117 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/il+13+ek213/Mouse+IL-13+ELISA+Kit/10__1093_slash_ajrcmb_slash_aanag080-266-16-21
    Average 94 stars, based on 117 article reviews
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    Article Title: Asthmatic Pulmonary Fibroblasts Aggravate Airway Inflammation Through FKBP5-Dependent Necroptosis
    Article Snippet: Airway inflammation is a hallmark pathological feature of bronchial asthma and is closely associated with airway hyperresponsiveness.. Pulmonary fibroblasts are key contributors to asthmatic inflammation, yet the underlying mechanisms remain insufficiently defined.. In this study, FK506 binding protein 51 (FKBP5) was significantly upregulated in fibroblasts from individuals with asthma, and its expression was positively correlated with disease severity.



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    Il 13 Ek213, supplied by Multi Sciences (Lianke) Biotech Co Ltd, 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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    Tumor necrosis factor-like ligand 1A (TL1A) expression and secretion increase as asthma progresses. (A) Western blot analysis of TL1A protein expression in the lung tissues in the wild-type and ovalbumin (OVA)-induced model groups. (B) Changes in the cytokine concentrations of TL1A and immunoglobulin E (IgE) in serum over time following the final challenge in cases and controls. (C) Changes in the cytokine concentrations of TL1A, interleukin 4 (IL-4), interleukin 6 (IL-6), interleukin 13 <t>(IL-13),</t> and interferon gamma (IFN-γ) in bronchoalveolar lavage fluid (BAL) over time following the final challenge in cases and controls. (D) Schematic summarizing the timeline of the in vivo asthma modeling with different allergen exposure frequencies. (E) Comparison of total cell counts in the BAL in each group for different challenge numbers. (F) Comparison of IL-13 concentrations in BAL changed for different challenge numbers. (G) Representative plots showing changes in eosinophil counts for different challenge numbers. (H) Changes in IgE concentrations in blood samples for different challenge numbers. (I to K) Representative plots showing Masson staining, hematoxylin and eosin (HE) staining, and periodic acid–Schiff (PAS) staining of pulmonary airway tissue in mice for different challenge numbers. (L) Representative plots showing comparison of S100A4 + CD8 + effector memory T (Tem) cell counts for different challenge numbers. (M) Comparison of TL1A expression level in lung tissue samples from each group. (N and O) Comparison of TL1A concentrations in serum/BAL samples in each group. Data are presented as mean ± SD (error bars) from at least 3 independent experiments, with n = 6 mice per group per experiment (A and E to O). Time-course studies (B and C) used n = 6 mice per time point. * P < 0.05 and ** P < 0.01 compared with the respective control groups. Histological scoring and flow cytometry analysis were performed by investigators blinded to the experimental groups.
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    Tumor necrosis factor-like ligand 1A (TL1A) expression and secretion increase as asthma progresses. (A) Western blot analysis of TL1A protein expression in the lung tissues in the wild-type and ovalbumin (OVA)-induced model groups. (B) Changes in the cytokine concentrations of TL1A and immunoglobulin E (IgE) in serum over time following the final challenge in cases and controls. (C) Changes in the cytokine concentrations of TL1A, interleukin 4 (IL-4), interleukin 6 (IL-6), interleukin 13 <t>(IL-13),</t> and interferon gamma (IFN-γ) in bronchoalveolar lavage fluid (BAL) over time following the final challenge in cases and controls. (D) Schematic summarizing the timeline of the in vivo asthma modeling with different allergen exposure frequencies. (E) Comparison of total cell counts in the BAL in each group for different challenge numbers. (F) Comparison of IL-13 concentrations in BAL changed for different challenge numbers. (G) Representative plots showing changes in eosinophil counts for different challenge numbers. (H) Changes in IgE concentrations in blood samples for different challenge numbers. (I to K) Representative plots showing Masson staining, hematoxylin and eosin (HE) staining, and periodic acid–Schiff (PAS) staining of pulmonary airway tissue in mice for different challenge numbers. (L) Representative plots showing comparison of S100A4 + CD8 + effector memory T (Tem) cell counts for different challenge numbers. (M) Comparison of TL1A expression level in lung tissue samples from each group. (N and O) Comparison of TL1A concentrations in serum/BAL samples in each group. Data are presented as mean ± SD (error bars) from at least 3 independent experiments, with n = 6 mice per group per experiment (A and E to O). Time-course studies (B and C) used n = 6 mice per time point. * P < 0.05 and ** P < 0.01 compared with the respective control groups. Histological scoring and flow cytometry analysis were performed by investigators blinded to the experimental groups.
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    Tumor necrosis factor-like ligand 1A (TL1A) expression and secretion increase as asthma progresses. (A) Western blot analysis of TL1A protein expression in the lung tissues in the wild-type and ovalbumin (OVA)-induced model groups. (B) Changes in the cytokine concentrations of TL1A and immunoglobulin E (IgE) in serum over time following the final challenge in cases and controls. (C) Changes in the cytokine concentrations of TL1A, interleukin 4 (IL-4), interleukin 6 (IL-6), interleukin 13 <t>(IL-13),</t> and interferon gamma (IFN-γ) in bronchoalveolar lavage fluid (BAL) over time following the final challenge in cases and controls. (D) Schematic summarizing the timeline of the in vivo asthma modeling with different allergen exposure frequencies. (E) Comparison of total cell counts in the BAL in each group for different challenge numbers. (F) Comparison of IL-13 concentrations in BAL changed for different challenge numbers. (G) Representative plots showing changes in eosinophil counts for different challenge numbers. (H) Changes in IgE concentrations in blood samples for different challenge numbers. (I to K) Representative plots showing Masson staining, hematoxylin and eosin (HE) staining, and periodic acid–Schiff (PAS) staining of pulmonary airway tissue in mice for different challenge numbers. (L) Representative plots showing comparison of S100A4 + CD8 + effector memory T (Tem) cell counts for different challenge numbers. (M) Comparison of TL1A expression level in lung tissue samples from each group. (N and O) Comparison of TL1A concentrations in serum/BAL samples in each group. Data are presented as mean ± SD (error bars) from at least 3 independent experiments, with n = 6 mice per group per experiment (A and E to O). Time-course studies (B and C) used n = 6 mice per time point. * P < 0.05 and ** P < 0.01 compared with the respective control groups. Histological scoring and flow cytometry analysis were performed by investigators blinded to the experimental groups.
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    Regulation of MN patches on the inflammation, JAK1 and Nrf2/HO-1 pathways in AD mice. ( a-c ) Levels of IL-1β, IL-4, <t>and</t> <t>IL-13</t> in the dorsal skin. ( d, e ) Levels of TSLP and IgE in the serum. ( f ) Protein expression of JAK1 in the dorsal skin. ( g ) Quantitative analysis of JAK1 protein levels from (f). ( h ) 8-OHdG levels in the dorsal skin. ( i ) Fluorescent immunostaining of Nrf2, with the merged image showing DAPI staining (red: Nrf2, blue: DAPI). ( j ) Quantitative analysis of Nrf2 protein expression from (i). ( k ) Fluorescent immunostaining of HO-1, along with the merged image showing DAPI staining (red: HO-1, blue: DAPI). ( l ) Quantitative analysis of HO-1 protein expression from (k). Data are presented as mean ± SD (n = 6). Bars sharing the same letter are not significantly different, whereas those with different letters are statistically significant (p < 0.05).
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    Regulation of MN patches on the inflammation, JAK1 and Nrf2/HO-1 pathways in AD mice. ( a-c ) Levels of IL-1β, IL-4, <t>and</t> <t>IL-13</t> in the dorsal skin. ( d, e ) Levels of TSLP and IgE in the serum. ( f ) Protein expression of JAK1 in the dorsal skin. ( g ) Quantitative analysis of JAK1 protein levels from (f). ( h ) 8-OHdG levels in the dorsal skin. ( i ) Fluorescent immunostaining of Nrf2, with the merged image showing DAPI staining (red: Nrf2, blue: DAPI). ( j ) Quantitative analysis of Nrf2 protein expression from (i). ( k ) Fluorescent immunostaining of HO-1, along with the merged image showing DAPI staining (red: HO-1, blue: DAPI). ( l ) Quantitative analysis of HO-1 protein expression from (k). Data are presented as mean ± SD (n = 6). Bars sharing the same letter are not significantly different, whereas those with different letters are statistically significant (p < 0.05).
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    Regulation of MN patches on the inflammation, JAK1 and Nrf2/HO-1 pathways in AD mice. ( a-c ) Levels of IL-1β, IL-4, <t>and</t> <t>IL-13</t> in the dorsal skin. ( d, e ) Levels of TSLP and IgE in the serum. ( f ) Protein expression of JAK1 in the dorsal skin. ( g ) Quantitative analysis of JAK1 protein levels from (f). ( h ) 8-OHdG levels in the dorsal skin. ( i ) Fluorescent immunostaining of Nrf2, with the merged image showing DAPI staining (red: Nrf2, blue: DAPI). ( j ) Quantitative analysis of Nrf2 protein expression from (i). ( k ) Fluorescent immunostaining of HO-1, along with the merged image showing DAPI staining (red: HO-1, blue: DAPI). ( l ) Quantitative analysis of HO-1 protein expression from (k). Data are presented as mean ± SD (n = 6). Bars sharing the same letter are not significantly different, whereas those with different letters are statistically significant (p < 0.05).
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    Image Search Results


    Tumor necrosis factor-like ligand 1A (TL1A) expression and secretion increase as asthma progresses. (A) Western blot analysis of TL1A protein expression in the lung tissues in the wild-type and ovalbumin (OVA)-induced model groups. (B) Changes in the cytokine concentrations of TL1A and immunoglobulin E (IgE) in serum over time following the final challenge in cases and controls. (C) Changes in the cytokine concentrations of TL1A, interleukin 4 (IL-4), interleukin 6 (IL-6), interleukin 13 (IL-13), and interferon gamma (IFN-γ) in bronchoalveolar lavage fluid (BAL) over time following the final challenge in cases and controls. (D) Schematic summarizing the timeline of the in vivo asthma modeling with different allergen exposure frequencies. (E) Comparison of total cell counts in the BAL in each group for different challenge numbers. (F) Comparison of IL-13 concentrations in BAL changed for different challenge numbers. (G) Representative plots showing changes in eosinophil counts for different challenge numbers. (H) Changes in IgE concentrations in blood samples for different challenge numbers. (I to K) Representative plots showing Masson staining, hematoxylin and eosin (HE) staining, and periodic acid–Schiff (PAS) staining of pulmonary airway tissue in mice for different challenge numbers. (L) Representative plots showing comparison of S100A4 + CD8 + effector memory T (Tem) cell counts for different challenge numbers. (M) Comparison of TL1A expression level in lung tissue samples from each group. (N and O) Comparison of TL1A concentrations in serum/BAL samples in each group. Data are presented as mean ± SD (error bars) from at least 3 independent experiments, with n = 6 mice per group per experiment (A and E to O). Time-course studies (B and C) used n = 6 mice per time point. * P < 0.05 and ** P < 0.01 compared with the respective control groups. Histological scoring and flow cytometry analysis were performed by investigators blinded to the experimental groups.

    Journal: Research

    Article Title: Integrated Single-Cell Profiling Reveals TL1A as a Biomarker and Driver of Type 2 Inflammation via Macrophage-Dependent Immunoregulation in Asthma

    doi: 10.34133/research.1190

    Figure Lengend Snippet: Tumor necrosis factor-like ligand 1A (TL1A) expression and secretion increase as asthma progresses. (A) Western blot analysis of TL1A protein expression in the lung tissues in the wild-type and ovalbumin (OVA)-induced model groups. (B) Changes in the cytokine concentrations of TL1A and immunoglobulin E (IgE) in serum over time following the final challenge in cases and controls. (C) Changes in the cytokine concentrations of TL1A, interleukin 4 (IL-4), interleukin 6 (IL-6), interleukin 13 (IL-13), and interferon gamma (IFN-γ) in bronchoalveolar lavage fluid (BAL) over time following the final challenge in cases and controls. (D) Schematic summarizing the timeline of the in vivo asthma modeling with different allergen exposure frequencies. (E) Comparison of total cell counts in the BAL in each group for different challenge numbers. (F) Comparison of IL-13 concentrations in BAL changed for different challenge numbers. (G) Representative plots showing changes in eosinophil counts for different challenge numbers. (H) Changes in IgE concentrations in blood samples for different challenge numbers. (I to K) Representative plots showing Masson staining, hematoxylin and eosin (HE) staining, and periodic acid–Schiff (PAS) staining of pulmonary airway tissue in mice for different challenge numbers. (L) Representative plots showing comparison of S100A4 + CD8 + effector memory T (Tem) cell counts for different challenge numbers. (M) Comparison of TL1A expression level in lung tissue samples from each group. (N and O) Comparison of TL1A concentrations in serum/BAL samples in each group. Data are presented as mean ± SD (error bars) from at least 3 independent experiments, with n = 6 mice per group per experiment (A and E to O). Time-course studies (B and C) used n = 6 mice per time point. * P < 0.05 and ** P < 0.01 compared with the respective control groups. Histological scoring and flow cytometry analysis were performed by investigators blinded to the experimental groups.

    Article Snippet: The ELISA kits used were as follows: mouse CCL8 (ZCI BIO), mouse CXCL-2 (MultiSciences), mouse CXCL-10 (MultiSciences), mouse IFN-γ (MultiSciences), mouse IL-4 (MultiSciences), mouse IL-6 (MultiSciences), mouse IL-13 (MultiSciences), IFN-γ (MultiSciences), mouse total IgE (Jianglaibio), mouse TL1A (ZCI BIO), and human TL1A (ZCI BIO, Catalog No. ZC-35762, had a stated lower limit of detection of 5 pg/ml, as per the manufacturer’s specifications).

    Techniques: Expressing, Western Blot, In Vivo, Comparison, Staining, Control, Flow Cytometry

    Myeloid-cell-specific Tnfsf15 -knockout resulted in the attenuation of allergic airway inflammation. (A) Myeloid-cell-specific Tnfsf15 -knockout strategy. (B) Genotyping was confirmed using tail DNA genomic polymerase chain reaction. (C) Immunomagnetic bead sorting was used to isolate F4/80 + cells, and the expression level of tumor necrosis factor-like ligand 1A (TL1A) was quantified using Western blotting. (D to G) Representative plots showing the proportions of 4 major types of immune cells (macrophages, CD8 + T cells, CD4 + T cells, and B cells) infiltrating the lung tissues in each group. (H) Representative hematoxylin and eosin (HE) staining among the different groups and quantification of the airway inflammation score. Black scale bar, 50 µm. (I) Representative periodic acid–Schiff (PAS) staining among the different groups and quantification of the airway mucus score. (J) Representative Masson’s trichrome staining among the different groups and quantification of the collagen volume fraction. (K and L) Lung eosinophil or neutrophil counts, as determined by flow cytometry. (M) Total cell counts in bronchoalveolar lavage fluid (BAL). (N) Concentrations of interleukin 4 (IL-4) in BAL. (O) Concentrations of interleukin 13 (IL-13) in BAL. Data are presented as mean ± SD. Experiments were repeated 3 times with n = 6 to 8 mice per group per experiment. Cell sorting and Western blot (C) used pooled cells from n = 4 mice. Flow cytometry analyses (D to G and K) and histological scoring (H to J) were performed by investigators blinded to genotype and treatment. * P < 0.05 and ** P < 0.01 compared with the respective groups.

    Journal: Research

    Article Title: Integrated Single-Cell Profiling Reveals TL1A as a Biomarker and Driver of Type 2 Inflammation via Macrophage-Dependent Immunoregulation in Asthma

    doi: 10.34133/research.1190

    Figure Lengend Snippet: Myeloid-cell-specific Tnfsf15 -knockout resulted in the attenuation of allergic airway inflammation. (A) Myeloid-cell-specific Tnfsf15 -knockout strategy. (B) Genotyping was confirmed using tail DNA genomic polymerase chain reaction. (C) Immunomagnetic bead sorting was used to isolate F4/80 + cells, and the expression level of tumor necrosis factor-like ligand 1A (TL1A) was quantified using Western blotting. (D to G) Representative plots showing the proportions of 4 major types of immune cells (macrophages, CD8 + T cells, CD4 + T cells, and B cells) infiltrating the lung tissues in each group. (H) Representative hematoxylin and eosin (HE) staining among the different groups and quantification of the airway inflammation score. Black scale bar, 50 µm. (I) Representative periodic acid–Schiff (PAS) staining among the different groups and quantification of the airway mucus score. (J) Representative Masson’s trichrome staining among the different groups and quantification of the collagen volume fraction. (K and L) Lung eosinophil or neutrophil counts, as determined by flow cytometry. (M) Total cell counts in bronchoalveolar lavage fluid (BAL). (N) Concentrations of interleukin 4 (IL-4) in BAL. (O) Concentrations of interleukin 13 (IL-13) in BAL. Data are presented as mean ± SD. Experiments were repeated 3 times with n = 6 to 8 mice per group per experiment. Cell sorting and Western blot (C) used pooled cells from n = 4 mice. Flow cytometry analyses (D to G and K) and histological scoring (H to J) were performed by investigators blinded to genotype and treatment. * P < 0.05 and ** P < 0.01 compared with the respective groups.

    Article Snippet: The ELISA kits used were as follows: mouse CCL8 (ZCI BIO), mouse CXCL-2 (MultiSciences), mouse CXCL-10 (MultiSciences), mouse IFN-γ (MultiSciences), mouse IL-4 (MultiSciences), mouse IL-6 (MultiSciences), mouse IL-13 (MultiSciences), IFN-γ (MultiSciences), mouse total IgE (Jianglaibio), mouse TL1A (ZCI BIO), and human TL1A (ZCI BIO, Catalog No. ZC-35762, had a stated lower limit of detection of 5 pg/ml, as per the manufacturer’s specifications).

    Techniques: Knock-Out, Polymerase Chain Reaction, Expressing, Western Blot, Staining, Flow Cytometry, FACS

    Identification of C-C motif chemokine ligand 8 (CCL8) as the key link in the tumor necrosis factor-like ligand 1A (TL1A)-induced allergic inflammatory response. (A) Heatmap showing changes in proallergic chemokine expression levels after gene knockdown. (B) Relative gene expression of CCL8 in lung tissue, quantified using polymerase chain reaction (PCR). (C) Relative gene expression of CCL8 in sorted F4/80 + cell groups in lung tissue, quantified using PCR. (D) CCL8 concentration in bronchoalveolar lavage fluid (BAL) measured using enzyme-linked immunosorbent assay (ELISA). (E) Relative gene expression of CCL8 in lung tissue, quantified using PCR in Tnfsf15 -knockout (KO) mice. (F) CCL8 concentration in BAL measured using ELISA in Tnfsf15 -KO mice. (G) CCL8 expression in the lung tissue of Tnfsf15 transgenic and nontransgenic mice. (H) The correlation between TL1A and CCL8 expression in the Unbiased Biomarkers for the Prediction of Respiratory Disease Outcomes (U-BIOPRED) cohort (based on GSE76262 ). (I) Schematic of the murine ovalbumin-induced asthma models following recombinant TL1A or anti-C-C motif chemokine receptor 8 (anti-CCR8) intervention. (J) Hematoxylin and eosin (HE) staining of lung tissue after allergen challenge and recombinant TL1A (rTL1A) or anti-CCR8 interventions. Black scale bar, 50 µm. (K) Total cell numbers in BAL samples. (L to N) Concentrations of CCL8, interleukin 4 (IL-4), and interleukin 13 (IL-13) in BAL samples from the different groups. Data are presented as mean ± SD from at least 2 independent experiments, with n = 5 to 6 mice per group per experiment. PCR, ELISA, and histological assessments were conducted by researchers blinded to treatment groups. Public dataset correlation (H) used n = samples from the GSE76262 dataset. * P < 0.05 and ** P < 0.01 compared with the respective groups.

    Journal: Research

    Article Title: Integrated Single-Cell Profiling Reveals TL1A as a Biomarker and Driver of Type 2 Inflammation via Macrophage-Dependent Immunoregulation in Asthma

    doi: 10.34133/research.1190

    Figure Lengend Snippet: Identification of C-C motif chemokine ligand 8 (CCL8) as the key link in the tumor necrosis factor-like ligand 1A (TL1A)-induced allergic inflammatory response. (A) Heatmap showing changes in proallergic chemokine expression levels after gene knockdown. (B) Relative gene expression of CCL8 in lung tissue, quantified using polymerase chain reaction (PCR). (C) Relative gene expression of CCL8 in sorted F4/80 + cell groups in lung tissue, quantified using PCR. (D) CCL8 concentration in bronchoalveolar lavage fluid (BAL) measured using enzyme-linked immunosorbent assay (ELISA). (E) Relative gene expression of CCL8 in lung tissue, quantified using PCR in Tnfsf15 -knockout (KO) mice. (F) CCL8 concentration in BAL measured using ELISA in Tnfsf15 -KO mice. (G) CCL8 expression in the lung tissue of Tnfsf15 transgenic and nontransgenic mice. (H) The correlation between TL1A and CCL8 expression in the Unbiased Biomarkers for the Prediction of Respiratory Disease Outcomes (U-BIOPRED) cohort (based on GSE76262 ). (I) Schematic of the murine ovalbumin-induced asthma models following recombinant TL1A or anti-C-C motif chemokine receptor 8 (anti-CCR8) intervention. (J) Hematoxylin and eosin (HE) staining of lung tissue after allergen challenge and recombinant TL1A (rTL1A) or anti-CCR8 interventions. Black scale bar, 50 µm. (K) Total cell numbers in BAL samples. (L to N) Concentrations of CCL8, interleukin 4 (IL-4), and interleukin 13 (IL-13) in BAL samples from the different groups. Data are presented as mean ± SD from at least 2 independent experiments, with n = 5 to 6 mice per group per experiment. PCR, ELISA, and histological assessments were conducted by researchers blinded to treatment groups. Public dataset correlation (H) used n = samples from the GSE76262 dataset. * P < 0.05 and ** P < 0.01 compared with the respective groups.

    Article Snippet: The ELISA kits used were as follows: mouse CCL8 (ZCI BIO), mouse CXCL-2 (MultiSciences), mouse CXCL-10 (MultiSciences), mouse IFN-γ (MultiSciences), mouse IL-4 (MultiSciences), mouse IL-6 (MultiSciences), mouse IL-13 (MultiSciences), IFN-γ (MultiSciences), mouse total IgE (Jianglaibio), mouse TL1A (ZCI BIO), and human TL1A (ZCI BIO, Catalog No. ZC-35762, had a stated lower limit of detection of 5 pg/ml, as per the manufacturer’s specifications).

    Techniques: Expressing, Knockdown, Gene Expression, Polymerase Chain Reaction, Concentration Assay, Enzyme-linked Immunosorbent Assay, Knock-Out, Transgenic Assay, Recombinant, Staining

    Regulation of MN patches on the inflammation, JAK1 and Nrf2/HO-1 pathways in AD mice. ( a-c ) Levels of IL-1β, IL-4, and IL-13 in the dorsal skin. ( d, e ) Levels of TSLP and IgE in the serum. ( f ) Protein expression of JAK1 in the dorsal skin. ( g ) Quantitative analysis of JAK1 protein levels from (f). ( h ) 8-OHdG levels in the dorsal skin. ( i ) Fluorescent immunostaining of Nrf2, with the merged image showing DAPI staining (red: Nrf2, blue: DAPI). ( j ) Quantitative analysis of Nrf2 protein expression from (i). ( k ) Fluorescent immunostaining of HO-1, along with the merged image showing DAPI staining (red: HO-1, blue: DAPI). ( l ) Quantitative analysis of HO-1 protein expression from (k). Data are presented as mean ± SD (n = 6). Bars sharing the same letter are not significantly different, whereas those with different letters are statistically significant (p < 0.05).

    Journal: Materials Today Bio

    Article Title: Feasibility of combining JAK1 gene editing via CRISPR-CasRx with EGCG–lactoferrin nanoparticle therapy in a microneedle-based platform for atopic dermatitis

    doi: 10.1016/j.mtbio.2026.102884

    Figure Lengend Snippet: Regulation of MN patches on the inflammation, JAK1 and Nrf2/HO-1 pathways in AD mice. ( a-c ) Levels of IL-1β, IL-4, and IL-13 in the dorsal skin. ( d, e ) Levels of TSLP and IgE in the serum. ( f ) Protein expression of JAK1 in the dorsal skin. ( g ) Quantitative analysis of JAK1 protein levels from (f). ( h ) 8-OHdG levels in the dorsal skin. ( i ) Fluorescent immunostaining of Nrf2, with the merged image showing DAPI staining (red: Nrf2, blue: DAPI). ( j ) Quantitative analysis of Nrf2 protein expression from (i). ( k ) Fluorescent immunostaining of HO-1, along with the merged image showing DAPI staining (red: HO-1, blue: DAPI). ( l ) Quantitative analysis of HO-1 protein expression from (k). Data are presented as mean ± SD (n = 6). Bars sharing the same letter are not significantly different, whereas those with different letters are statistically significant (p < 0.05).

    Article Snippet: The 8-OHdG ELISA Kit was purchased from Youersheng Technology Co., Ltd (Wuhan, China), and the mouse IL-13 uncoated ELISA kit was purchased from Lianke Biotechnology Co., Ltd (Hangzhou, China).

    Techniques: Expressing, Immunostaining, Staining