s100a12 Search Results


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Cusabio enzyme linked immunosorbent assay plasma levels
Enzyme Linked Immunosorbent Assay Plasma Levels, supplied by Cusabio, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Elabscience Biotechnology s100a12 measurement
Patients’ and controls’ demographic and laboratory data.
S100a12 Measurement, supplied by Elabscience Biotechnology, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Proteintech s100a12
Increased frequency and proinflammatory signature of CD48 high <t>S100A12</t> + macrophages in rheumatoid arthritis synovium. A UMAP visualization of synovial macrophages clustered into nine subpopulations on the basis of scRNA-seq data. B Disease-stratified analysis showing an increased proportion of CD48 high S100A12 + macrophages in the RA synovium compared with those in the UA, OA, and HC groups. C UMAP plots depicting S100A12 expression intensity across macrophage subclusters in different disease states. D Gene Ontology (GO) enrichment of biological processes in CD48 high S100A12 + marker genes, highlighting enrichment for defense response activation, cytokine production, and leukocyte migration. E Representative images of CD68 and S100A12 immunofluorescence staining in knee synovial tissues from RA and OA patients. Scale bar: 100 μm
S100a12, supplied by Proteintech, 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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R&D Systems l polyclonal goat anti human s100a12 antibody
Figure 1. Diagram of CECs/MNC, <t>CECs-S100A12/CECs,</t> and FI- S100A12-CECs measurement by flow cytometry. A, screening MNC (R1); B, screening CECs (R2); C, verifying the CECs again (R3); D, measuring CECs-S100A12/CECs and FI-S100A12-CECs, the green represent the iso- type control scan.
L Polyclonal Goat Anti Human S100a12 Antibody, supplied by R&D Systems, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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BioVendor Instruments s100a12 concentration
Characteristics of serum concentrations of proguanylin, <t> S100A12 </t> protein, and pentraxin 3 concentrations in the serum of pre- and post-treatment patients with UC and healthy individuals.
S100a12 Concentration, supplied by BioVendor Instruments, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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R&D Systems human en rage s100a12 alexa fluor647 conjugated antibody
Characteristics of serum concentrations of proguanylin, <t> S100A12 </t> protein, and pentraxin 3 concentrations in the serum of pre- and post-treatment patients with UC and healthy individuals.
Human En Rage S100a12 Alexa Fluor647 Conjugated Antibody, supplied by R&D Systems, used in various techniques. Bioz Stars score: 92/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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R&D Systems goat anti human s100a12 pab
Figure 1. Evaluation of host biomarkers for TB and LTBI in a European cohort Levels of IL-6, IP-10, ferritin, SAA1/A2, CRP, ApoA1, and <t>S100A12</t> were measured by UCP-LFA in serum samples of TB patients (n = 30; green dots) and LTBI (n = 29; gray dots) from Europe. Median values for each group are indicated by horizontal bars. Mann-Whitney U tests were performed to determine the statistical significance between groups (pvalues: *p%0 $ 05, **p%0 $ 01, ***p%0 $ 001, ****p%0 $ 0001). Green dots: TB cohort 1; gray dots: LTBI cohort 1. AUC: area under the curve; Fc: flow control line; LTBI: latent tuberculosis infection; T: test line; TB: tuberculosis.
Goat Anti Human S100a12 Pab, supplied by R&D Systems, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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91
ALPCO elisa kit
Figure 1. Evaluation of host biomarkers for TB and LTBI in a European cohort Levels of IL-6, IP-10, ferritin, SAA1/A2, CRP, ApoA1, and <t>S100A12</t> were measured by UCP-LFA in serum samples of TB patients (n = 30; green dots) and LTBI (n = 29; gray dots) from Europe. Median values for each group are indicated by horizontal bars. Mann-Whitney U tests were performed to determine the statistical significance between groups (pvalues: *p%0 $ 05, **p%0 $ 01, ***p%0 $ 001, ****p%0 $ 0001). Green dots: TB cohort 1; gray dots: LTBI cohort 1. AUC: area under the curve; Fc: flow control line; LTBI: latent tuberculosis infection; T: test line; TB: tuberculosis.
Elisa Kit, supplied by ALPCO, used in various techniques. Bioz Stars score: 91/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Immundiagnostik AG idk s100a12 elisa kit
Serum <t>S100A12</t> levels of healthy controls and patients with COVID-19. ( a ) Serum S100A12 levels of controls, patients with moderate and severe COVID-19; ( b ) receiver operating characteristic curve for discrimination of moderate and severe COVID-19. Outliers are indicated by circles (S100A12 levels >1.5 × the interquartile range) and asterisks (S100A12 levels >3.0 × the interquartile range).
Idk S100a12 Elisa Kit, supplied by Immundiagnostik AG, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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St Johns Laboratory rabbit anti s100a12 polyclonal igg
Serum <t>S100A12</t> levels of healthy controls and patients with COVID-19. ( a ) Serum S100A12 levels of controls, patients with moderate and severe COVID-19; ( b ) receiver operating characteristic curve for discrimination of moderate and severe COVID-19. Outliers are indicated by circles (S100A12 levels >1.5 × the interquartile range) and asterisks (S100A12 levels >3.0 × the interquartile range).
Rabbit Anti S100a12 Polyclonal Igg, supplied by St Johns Laboratory, used in various techniques. Bioz Stars score: 91/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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93
Cusabio s100a12
Fig. 1 Levels of serum and urinary S100A8/A9 and <t>S100A12</t> in MPO-AAV patients and normal controls. Comparison of concentrations of serum S100A8/A9 (A), serum S100A12 (B), urinary S100A8/A9 (C), and urinary S100A12 (D) between MPO-AAV patients in the active period or remission and NC. E The relationship between serum S100A8/A9 and serum S100A12 in active MPO-AAV. F The relationship between urinary S100A8/A9 and urinary S100A12 in active MPO-AAV. NC: normal controls. ns: not significant
S100a12, supplied by Cusabio, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/s100a12/Human+S100+calcium+binding+protein+A12%2FCalgranulin-C(S100A12)+ELISA+Kit/pm36088289-198-6-8
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92
Novus Biologicals s100a12
Distinctive structural and molecular characteristics of porcine volar skin. (A) Trichrome‐stained tissue sections from porcine trunk (left) and volar skin (right) are shown at the same magnification for comparison. Note the great difference in thickness between the epidermis in trunk skin (bracket #1) versus volar skin (brackets #3 and 4). The trunk stratum corneum is too thin to see in the main image and is therefore shown in the inset (bracket #2), displaying the classic layered structure. In contrast, the volar stratum corneum (bracket #4) is greatly thickened and has a compact structure. (B) IHC staining (red) showing differential expression of marker proteins in trunk versus volar (plantar) skin, as labeled in the figure. Porcine volar skin is distinguished by upregulation of S100A8, expression of <t>S100A12,</t> altered spatial distribution of S100A14 (strong pericellular staining in the viable epidermis with weak staining in the stratum corneum in plantar skin, vs. strong stratum corneum staining in trunk skin) and downregulation of STIM1. Insets show the plantar epidermis (specifically the stratum spinosum ) at higher magnification. Scale bars: A: 1 mm; inset, 25 μm; B: Trunk, 25 μm; plantar, 1 mm; insets, 50 μm.
S100a12, supplied by Novus Biologicals, used in various techniques. Bioz Stars score: 92/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


Patients’ and controls’ demographic and laboratory data.

Journal: Turkish Journal of Medical Sciences

Article Title: Evaluation of S100A12 protein levels in children with familial Mediterranean fever

doi: 10.3906/sag-2009-187

Figure Lengend Snippet: Patients’ and controls’ demographic and laboratory data.

Article Snippet: For the S100A12 measurement, Elabscience Human ELISA kits (Shanghai, China, 2019) were used.

Techniques:

Demographic and laboratory findings of acute attack period versus attack-free period groups.

Journal: Turkish Journal of Medical Sciences

Article Title: Evaluation of S100A12 protein levels in children with familial Mediterranean fever

doi: 10.3906/sag-2009-187

Figure Lengend Snippet: Demographic and laboratory findings of acute attack period versus attack-free period groups.

Article Snippet: For the S100A12 measurement, Elabscience Human ELISA kits (Shanghai, China, 2019) were used.

Techniques:

Demographic and laboratory findings of attack-free period versus healthy controls.

Journal: Turkish Journal of Medical Sciences

Article Title: Evaluation of S100A12 protein levels in children with familial Mediterranean fever

doi: 10.3906/sag-2009-187

Figure Lengend Snippet: Demographic and laboratory findings of attack-free period versus healthy controls.

Article Snippet: For the S100A12 measurement, Elabscience Human ELISA kits (Shanghai, China, 2019) were used.

Techniques:

Correlation between  S100A12  level and other acute-phase reactants in the attack-free period, acute attack period, and all patients.

Journal: Turkish Journal of Medical Sciences

Article Title: Evaluation of S100A12 protein levels in children with familial Mediterranean fever

doi: 10.3906/sag-2009-187

Figure Lengend Snippet: Correlation between S100A12 level and other acute-phase reactants in the attack-free period, acute attack period, and all patients.

Article Snippet: For the S100A12 measurement, Elabscience Human ELISA kits (Shanghai, China, 2019) were used.

Techniques:

Receiver operating characteristic curve analysis of acute-phase reactants in Familial Mediterranean Fever patients.

Journal: Turkish Journal of Medical Sciences

Article Title: Evaluation of S100A12 protein levels in children with familial Mediterranean fever

doi: 10.3906/sag-2009-187

Figure Lengend Snippet: Receiver operating characteristic curve analysis of acute-phase reactants in Familial Mediterranean Fever patients.

Article Snippet: For the S100A12 measurement, Elabscience Human ELISA kits (Shanghai, China, 2019) were used.

Techniques:

Comparison of acute-phase reactants of patients with M694V homozygous mutation versus other mutations.

Journal: Turkish Journal of Medical Sciences

Article Title: Evaluation of S100A12 protein levels in children with familial Mediterranean fever

doi: 10.3906/sag-2009-187

Figure Lengend Snippet: Comparison of acute-phase reactants of patients with M694V homozygous mutation versus other mutations.

Article Snippet: For the S100A12 measurement, Elabscience Human ELISA kits (Shanghai, China, 2019) were used.

Techniques: Comparison, Mutagenesis

Increased frequency and proinflammatory signature of CD48 high S100A12 + macrophages in rheumatoid arthritis synovium. A UMAP visualization of synovial macrophages clustered into nine subpopulations on the basis of scRNA-seq data. B Disease-stratified analysis showing an increased proportion of CD48 high S100A12 + macrophages in the RA synovium compared with those in the UA, OA, and HC groups. C UMAP plots depicting S100A12 expression intensity across macrophage subclusters in different disease states. D Gene Ontology (GO) enrichment of biological processes in CD48 high S100A12 + marker genes, highlighting enrichment for defense response activation, cytokine production, and leukocyte migration. E Representative images of CD68 and S100A12 immunofluorescence staining in knee synovial tissues from RA and OA patients. Scale bar: 100 μm

Journal: Arthritis Research & Therapy

Article Title: IRF7 orchestrates proinflammatory macrophage polarization and joint destruction in rheumatoid arthritis

doi: 10.1186/s13075-025-03708-3

Figure Lengend Snippet: Increased frequency and proinflammatory signature of CD48 high S100A12 + macrophages in rheumatoid arthritis synovium. A UMAP visualization of synovial macrophages clustered into nine subpopulations on the basis of scRNA-seq data. B Disease-stratified analysis showing an increased proportion of CD48 high S100A12 + macrophages in the RA synovium compared with those in the UA, OA, and HC groups. C UMAP plots depicting S100A12 expression intensity across macrophage subclusters in different disease states. D Gene Ontology (GO) enrichment of biological processes in CD48 high S100A12 + marker genes, highlighting enrichment for defense response activation, cytokine production, and leukocyte migration. E Representative images of CD68 and S100A12 immunofluorescence staining in knee synovial tissues from RA and OA patients. Scale bar: 100 μm

Article Snippet: Double immunofluorescence staining was performed as follows: sections were incubated overnight at 4 °C with primary antibodies against CD68 (mouse monoclonal, 1:100 dilution; 66231-2-Ig, Proteintech, China) with S100A12 (rabbit polyclonal, 1:100 dilution; 16630-1-AP, Proteintech, China) or CD68 (1:100 dilution; 66231-2-Ig) with IRF7 (rabbit polyclonal, 1:150 dilution; 22392-1-AP, Proteintech, China).

Techniques: Expressing, Marker, Activation Assay, Migration, Immunofluorescence, Staining

IRF7 is a specific transcriptional regulator of CD48 high S100A12 + macrophages. A Venn diagram showing overlapping transcription factors (TFs) identified by triplicate SCENIC analyses, with the CD48 high S100A12 + subcluster enriched for NFIL3, TGIF1, FOSL2, IRF7, and STAT1. B Heatmap of regulon activity scores (RASs) for TFs across macrophage subclusters. C Ranking of TFs in CD48 high S100A12 + macrophages by the regulon specificity score (RSS, calculated via Jensen‒Shannon divergence). D UMAP dimensionality reduction of TF activity profiles across subclusters. E – F UMAP plots highlighting spatial overlap between the CD48 high S100A12 + subcluster. ( E ) and cells with elevated IRF7 regulon activity ( F ). G Representative images of immunofluorescence staining for CD68 and IRF7 in knee synovial tissues from RA and OA patients. Scale bar: 100 μm

Journal: Arthritis Research & Therapy

Article Title: IRF7 orchestrates proinflammatory macrophage polarization and joint destruction in rheumatoid arthritis

doi: 10.1186/s13075-025-03708-3

Figure Lengend Snippet: IRF7 is a specific transcriptional regulator of CD48 high S100A12 + macrophages. A Venn diagram showing overlapping transcription factors (TFs) identified by triplicate SCENIC analyses, with the CD48 high S100A12 + subcluster enriched for NFIL3, TGIF1, FOSL2, IRF7, and STAT1. B Heatmap of regulon activity scores (RASs) for TFs across macrophage subclusters. C Ranking of TFs in CD48 high S100A12 + macrophages by the regulon specificity score (RSS, calculated via Jensen‒Shannon divergence). D UMAP dimensionality reduction of TF activity profiles across subclusters. E – F UMAP plots highlighting spatial overlap between the CD48 high S100A12 + subcluster. ( E ) and cells with elevated IRF7 regulon activity ( F ). G Representative images of immunofluorescence staining for CD68 and IRF7 in knee synovial tissues from RA and OA patients. Scale bar: 100 μm

Article Snippet: Double immunofluorescence staining was performed as follows: sections were incubated overnight at 4 °C with primary antibodies against CD68 (mouse monoclonal, 1:100 dilution; 66231-2-Ig, Proteintech, China) with S100A12 (rabbit polyclonal, 1:100 dilution; 16630-1-AP, Proteintech, China) or CD68 (1:100 dilution; 66231-2-Ig) with IRF7 (rabbit polyclonal, 1:150 dilution; 22392-1-AP, Proteintech, China).

Techniques: Activity Assay, Immunofluorescence, Staining

IRF7 directly regulates downstream inflammatory genes in M1 macrophages. A ChIP-seq peak heatmaps showing increased IRF7 binding to promoter/enhancer regions in LPS-stimulated M1 macrophages. B Venn diagram of 108 overlapping genes from the IRF7 ChIP-seq data and the SCENIC-predicted target genes. C Reactome pathway enrichment of IRF7-regulated genes, highlighting the involvement of NF-κB, TNF, and Toll-like receptor signalling (key genes: IL-1β, FOS, NF-κB1, PTGS2, and CXCL10). D Bulk RNA-seq heatmap showing the upregulation of IRF7 and target genes in M1-polarized macrophages ( GSE130011 , GSE154346 ). E UMAP plots of NFKB1, PTGS2, IL1B, and CXCL10 expression in the CD48 high S100A12 + subcluster. F RT‒qPCR analysis of IRF7 and M1 marker genes in siRNA-treated macrophages (performed in triplicate, with 3 distinct patient sources used for each repetition). G – H Western blot validation of IRF7 and downstream protein expression following IRF7 knockdown in M1-polarized macrophages (performed in triplicate, with 3 distinct patient sources used for each repetition). Statistical significance: * P < 0.05, ** P < 0.01, *** P < 0.001, **** P < 0.0001 (one-way ANOVA with the Bonferroni post hoc correction)

Journal: Arthritis Research & Therapy

Article Title: IRF7 orchestrates proinflammatory macrophage polarization and joint destruction in rheumatoid arthritis

doi: 10.1186/s13075-025-03708-3

Figure Lengend Snippet: IRF7 directly regulates downstream inflammatory genes in M1 macrophages. A ChIP-seq peak heatmaps showing increased IRF7 binding to promoter/enhancer regions in LPS-stimulated M1 macrophages. B Venn diagram of 108 overlapping genes from the IRF7 ChIP-seq data and the SCENIC-predicted target genes. C Reactome pathway enrichment of IRF7-regulated genes, highlighting the involvement of NF-κB, TNF, and Toll-like receptor signalling (key genes: IL-1β, FOS, NF-κB1, PTGS2, and CXCL10). D Bulk RNA-seq heatmap showing the upregulation of IRF7 and target genes in M1-polarized macrophages ( GSE130011 , GSE154346 ). E UMAP plots of NFKB1, PTGS2, IL1B, and CXCL10 expression in the CD48 high S100A12 + subcluster. F RT‒qPCR analysis of IRF7 and M1 marker genes in siRNA-treated macrophages (performed in triplicate, with 3 distinct patient sources used for each repetition). G – H Western blot validation of IRF7 and downstream protein expression following IRF7 knockdown in M1-polarized macrophages (performed in triplicate, with 3 distinct patient sources used for each repetition). Statistical significance: * P < 0.05, ** P < 0.01, *** P < 0.001, **** P < 0.0001 (one-way ANOVA with the Bonferroni post hoc correction)

Article Snippet: Double immunofluorescence staining was performed as follows: sections were incubated overnight at 4 °C with primary antibodies against CD68 (mouse monoclonal, 1:100 dilution; 66231-2-Ig, Proteintech, China) with S100A12 (rabbit polyclonal, 1:100 dilution; 16630-1-AP, Proteintech, China) or CD68 (1:100 dilution; 66231-2-Ig) with IRF7 (rabbit polyclonal, 1:150 dilution; 22392-1-AP, Proteintech, China).

Techniques: ChIP-sequencing, Binding Assay, RNA Sequencing, Expressing, Marker, Western Blot, Biomarker Discovery, Knockdown

Local IRF7 knockdown alters the immune cell composition in CIA mice. A Schematic of intra-articular IRF7 siRNA treatment in collagen-induced arthritis (CIA) model mice. B – C Flow cytometry analysis of the CD86 and CD206 mean fluorescence intensities (MFIs) in F4/80 + macrophages from ankle joints ( n = 6). CD86: NC: 1241 ± 265.4, si-IRF7: 2469 ± 390.3, positive: 3489 ± 570.9, si-mock: 3689 ± 370.1. CD206: NC: 2225 ± 225.9, si-IRF7: 3395 ± 369.4, positive: 978.2 ± 147.9, si-mock: 2022 ± 170.6. D – E Frequencies of Foxp3 + Tregs among CD3 + CD4 + T cells ( n = 6). NC: 1.66% ± 0.15%, si-IRF7: 3.27% ± 0.28%, positive: 0.47% ± 0.17%, si-mock: 1.10% ± 0.22%. F Immunofluorescence staining for S100A12 + inflammatory macrophages in the ankle synovium of different groups. Scale bar: 100 μm. The data are presented as the means ± SDs. Statistical significance: *** P < 0.001, **** P < 0.0001 (one-way ANOVA with Bonferroni post hoc correction)

Journal: Arthritis Research & Therapy

Article Title: IRF7 orchestrates proinflammatory macrophage polarization and joint destruction in rheumatoid arthritis

doi: 10.1186/s13075-025-03708-3

Figure Lengend Snippet: Local IRF7 knockdown alters the immune cell composition in CIA mice. A Schematic of intra-articular IRF7 siRNA treatment in collagen-induced arthritis (CIA) model mice. B – C Flow cytometry analysis of the CD86 and CD206 mean fluorescence intensities (MFIs) in F4/80 + macrophages from ankle joints ( n = 6). CD86: NC: 1241 ± 265.4, si-IRF7: 2469 ± 390.3, positive: 3489 ± 570.9, si-mock: 3689 ± 370.1. CD206: NC: 2225 ± 225.9, si-IRF7: 3395 ± 369.4, positive: 978.2 ± 147.9, si-mock: 2022 ± 170.6. D – E Frequencies of Foxp3 + Tregs among CD3 + CD4 + T cells ( n = 6). NC: 1.66% ± 0.15%, si-IRF7: 3.27% ± 0.28%, positive: 0.47% ± 0.17%, si-mock: 1.10% ± 0.22%. F Immunofluorescence staining for S100A12 + inflammatory macrophages in the ankle synovium of different groups. Scale bar: 100 μm. The data are presented as the means ± SDs. Statistical significance: *** P < 0.001, **** P < 0.0001 (one-way ANOVA with Bonferroni post hoc correction)

Article Snippet: Double immunofluorescence staining was performed as follows: sections were incubated overnight at 4 °C with primary antibodies against CD68 (mouse monoclonal, 1:100 dilution; 66231-2-Ig, Proteintech, China) with S100A12 (rabbit polyclonal, 1:100 dilution; 16630-1-AP, Proteintech, China) or CD68 (1:100 dilution; 66231-2-Ig) with IRF7 (rabbit polyclonal, 1:150 dilution; 22392-1-AP, Proteintech, China).

Techniques: Knockdown, Flow Cytometry, Fluorescence, Immunofluorescence, Staining

Local IRF7 inhibition attenuates joint inflammation and bone erosion in CIA mice. A Representative ankle joint images on day 42 postimmunization. B H&E staining and histological staining. C - E IHC staining for CD68, S100A12, and IRF7 in the ankle synovium. Scale bar: 100 μm. F Quantification of paw thickness at the ankle joint ( n = 6 per group). 42 Days after the first immunization: NC: 8.33 ± 0.02, si-IRF7: 10.39 ± 0.54, positive: 12.08 ± 0.80, si-mock: 12.65 ± 0.57, Statistical significance: **** P < 0.0001 (one-way ANOVA with Bonferroni post hoc correction). G H&E staining and histological scoring of synovial hyperplasia and inflammation ( n = 6). NC: 0.00 (0.00–0.00), si-IRF7: 1.50 (1.00–2.25), positive: 2.50 (1.75–3.00), and si-mock: 3.00 (2.75–3.00). Data are shown as medians with 25% − 75% percentiles. Statistical significance: * P < 0.05 (Kruskal‒Wallis test, followed by post hoc Dunn’s test with Bonferroni correction for multiple comparisons). H - J Semiquantitative analysis analysis of CD68, S100A12, and IRF7 expression via IHC staining via ImageJ ( n = 6). Statistical significance: **** P < 0.0001 (one-way ANOVA with Bonferroni post hoc correction)

Journal: Arthritis Research & Therapy

Article Title: IRF7 orchestrates proinflammatory macrophage polarization and joint destruction in rheumatoid arthritis

doi: 10.1186/s13075-025-03708-3

Figure Lengend Snippet: Local IRF7 inhibition attenuates joint inflammation and bone erosion in CIA mice. A Representative ankle joint images on day 42 postimmunization. B H&E staining and histological staining. C - E IHC staining for CD68, S100A12, and IRF7 in the ankle synovium. Scale bar: 100 μm. F Quantification of paw thickness at the ankle joint ( n = 6 per group). 42 Days after the first immunization: NC: 8.33 ± 0.02, si-IRF7: 10.39 ± 0.54, positive: 12.08 ± 0.80, si-mock: 12.65 ± 0.57, Statistical significance: **** P < 0.0001 (one-way ANOVA with Bonferroni post hoc correction). G H&E staining and histological scoring of synovial hyperplasia and inflammation ( n = 6). NC: 0.00 (0.00–0.00), si-IRF7: 1.50 (1.00–2.25), positive: 2.50 (1.75–3.00), and si-mock: 3.00 (2.75–3.00). Data are shown as medians with 25% − 75% percentiles. Statistical significance: * P < 0.05 (Kruskal‒Wallis test, followed by post hoc Dunn’s test with Bonferroni correction for multiple comparisons). H - J Semiquantitative analysis analysis of CD68, S100A12, and IRF7 expression via IHC staining via ImageJ ( n = 6). Statistical significance: **** P < 0.0001 (one-way ANOVA with Bonferroni post hoc correction)

Article Snippet: Double immunofluorescence staining was performed as follows: sections were incubated overnight at 4 °C with primary antibodies against CD68 (mouse monoclonal, 1:100 dilution; 66231-2-Ig, Proteintech, China) with S100A12 (rabbit polyclonal, 1:100 dilution; 16630-1-AP, Proteintech, China) or CD68 (1:100 dilution; 66231-2-Ig) with IRF7 (rabbit polyclonal, 1:150 dilution; 22392-1-AP, Proteintech, China).

Techniques: Inhibition, Staining, Immunohistochemistry, Expressing

Figure 1. Diagram of CECs/MNC, CECs-S100A12/CECs, and FI- S100A12-CECs measurement by flow cytometry. A, screening MNC (R1); B, screening CECs (R2); C, verifying the CECs again (R3); D, measuring CECs-S100A12/CECs and FI-S100A12-CECs, the green represent the iso- type control scan.

Journal: Pediatric Research

Article Title: S100A12 on Circulating Endothelial Cells Surface in Children With Kawasaki Disease

doi: 10.1203/pdr.0b013e3181e67ce8

Figure Lengend Snippet: Figure 1. Diagram of CECs/MNC, CECs-S100A12/CECs, and FI- S100A12-CECs measurement by flow cytometry. A, screening MNC (R1); B, screening CECs (R2); C, verifying the CECs again (R3); D, measuring CECs-S100A12/CECs and FI-S100A12-CECs, the green represent the iso- type control scan.

Article Snippet: The samples were divided into two tubes (each with 100 L): one tube was used for testing by adding 10 L polyclonal goat anti-human S100A12 antibody (R&D systems), and the other was used as control by adding goat IgG1.

Techniques: Cytometry, Control

Figure 2. Diagram of CECs/MNC, CECs-S100A12/CECs and FI-S100A12-CECs levels in Kawasaki disease with or without coronary artery lesions. A, CECs/MNC levels; B, CECs-S100A12/CECs levels; C, FI-S100A12-CECs levels. CECs/MNC, the ratio of circulating endothelial cells to MNC; CECs-S100A12/CECs, the positive rate of S100A12 on circulating endothelial cells surface; FI-S100A12-CECs, the fluorescence intensity of S100A12 on circulating endothelial cells surface; F, KD without CALs; f, KD with CALs; Œ, Control.

Journal: Pediatric Research

Article Title: S100A12 on Circulating Endothelial Cells Surface in Children With Kawasaki Disease

doi: 10.1203/pdr.0b013e3181e67ce8

Figure Lengend Snippet: Figure 2. Diagram of CECs/MNC, CECs-S100A12/CECs and FI-S100A12-CECs levels in Kawasaki disease with or without coronary artery lesions. A, CECs/MNC levels; B, CECs-S100A12/CECs levels; C, FI-S100A12-CECs levels. CECs/MNC, the ratio of circulating endothelial cells to MNC; CECs-S100A12/CECs, the positive rate of S100A12 on circulating endothelial cells surface; FI-S100A12-CECs, the fluorescence intensity of S100A12 on circulating endothelial cells surface; F, KD without CALs; f, KD with CALs; Œ, Control.

Article Snippet: The samples were divided into two tubes (each with 100 L): one tube was used for testing by adding 10 L polyclonal goat anti-human S100A12 antibody (R&D systems), and the other was used as control by adding goat IgG1.

Techniques: Control

Characteristics of serum concentrations of proguanylin,  S100A12  protein, and pentraxin 3 concentrations in the serum of pre- and post-treatment patients with UC and healthy individuals.

Journal: Journal of Clinical Medicine

Article Title: Circulating Profiles of Serum Proguanylin, S100A12 Protein and Pentraxin 3 as Diagnostic Markers of Ulcerative Colitis

doi: 10.3390/jcm12134339

Figure Lengend Snippet: Characteristics of serum concentrations of proguanylin, S100A12 protein, and pentraxin 3 concentrations in the serum of pre- and post-treatment patients with UC and healthy individuals.

Article Snippet: The measurements of S100A12 concentration in serum was performed using Human S100A12 ELISA test from BioVendor Company (Karasek, Czech Republic).

Techniques:

Comparison of serum profiles of pro-GN ( A ), S100A12 ( B ) and PTX3 ( C ) in the group of patients with UC before, as well as after, a year of Adalimumab therapy, and in healthy individuals *— p < 0.001; **— p < 0.005; C—healthy individuals; UC0—patients with UC before biological treatment; UC1—patients with UC after a year of treatment.

Journal: Journal of Clinical Medicine

Article Title: Circulating Profiles of Serum Proguanylin, S100A12 Protein and Pentraxin 3 as Diagnostic Markers of Ulcerative Colitis

doi: 10.3390/jcm12134339

Figure Lengend Snippet: Comparison of serum profiles of pro-GN ( A ), S100A12 ( B ) and PTX3 ( C ) in the group of patients with UC before, as well as after, a year of Adalimumab therapy, and in healthy individuals *— p < 0.001; **— p < 0.005; C—healthy individuals; UC0—patients with UC before biological treatment; UC1—patients with UC after a year of treatment.

Article Snippet: The measurements of S100A12 concentration in serum was performed using Human S100A12 ELISA test from BioVendor Company (Karasek, Czech Republic).

Techniques: Comparison

The significance of correlation between serum profile of analyzed proteins disease activity.

Journal: Journal of Clinical Medicine

Article Title: Circulating Profiles of Serum Proguanylin, S100A12 Protein and Pentraxin 3 as Diagnostic Markers of Ulcerative Colitis

doi: 10.3390/jcm12134339

Figure Lengend Snippet: The significance of correlation between serum profile of analyzed proteins disease activity.

Article Snippet: The measurements of S100A12 concentration in serum was performed using Human S100A12 ELISA test from BioVendor Company (Karasek, Czech Republic).

Techniques: Activity Assay

Significant relationships between the S100A12, PTX3 concentrations, and disease activity expressed in the Mayo score in patients with UC before and after biological treatment: ( A ) correlation between S100A12 level and disease activity before treatment; ( B ) correlation between PTX3 level and disease activity before treatment; and ( C ) correlation between S100A12 level and disease activity after treatment; blue circles—function from biomarker serum concentration to Mayo score; red line—regression line.

Journal: Journal of Clinical Medicine

Article Title: Circulating Profiles of Serum Proguanylin, S100A12 Protein and Pentraxin 3 as Diagnostic Markers of Ulcerative Colitis

doi: 10.3390/jcm12134339

Figure Lengend Snippet: Significant relationships between the S100A12, PTX3 concentrations, and disease activity expressed in the Mayo score in patients with UC before and after biological treatment: ( A ) correlation between S100A12 level and disease activity before treatment; ( B ) correlation between PTX3 level and disease activity before treatment; and ( C ) correlation between S100A12 level and disease activity after treatment; blue circles—function from biomarker serum concentration to Mayo score; red line—regression line.

Article Snippet: The measurements of S100A12 concentration in serum was performed using Human S100A12 ELISA test from BioVendor Company (Karasek, Czech Republic).

Techniques: Activity Assay, Biomarker Discovery, Concentration Assay

Figure 1. Evaluation of host biomarkers for TB and LTBI in a European cohort Levels of IL-6, IP-10, ferritin, SAA1/A2, CRP, ApoA1, and S100A12 were measured by UCP-LFA in serum samples of TB patients (n = 30; green dots) and LTBI (n = 29; gray dots) from Europe. Median values for each group are indicated by horizontal bars. Mann-Whitney U tests were performed to determine the statistical significance between groups (pvalues: *p%0 $ 05, **p%0 $ 01, ***p%0 $ 001, ****p%0 $ 0001). Green dots: TB cohort 1; gray dots: LTBI cohort 1. AUC: area under the curve; Fc: flow control line; LTBI: latent tuberculosis infection; T: test line; TB: tuberculosis.

Journal: iScience

Article Title: Host biomarker-based quantitative rapid tests for detection and treatment monitoring of tuberculosis and COVID-19.

doi: 10.1016/j.isci.2022.105873

Figure Lengend Snippet: Figure 1. Evaluation of host biomarkers for TB and LTBI in a European cohort Levels of IL-6, IP-10, ferritin, SAA1/A2, CRP, ApoA1, and S100A12 were measured by UCP-LFA in serum samples of TB patients (n = 30; green dots) and LTBI (n = 29; gray dots) from Europe. Median values for each group are indicated by horizontal bars. Mann-Whitney U tests were performed to determine the statistical significance between groups (pvalues: *p%0 $ 05, **p%0 $ 01, ***p%0 $ 001, ****p%0 $ 0001). Green dots: TB cohort 1; gray dots: LTBI cohort 1. AUC: area under the curve; Fc: flow control line; LTBI: latent tuberculosis infection; T: test line; TB: tuberculosis.

Article Snippet: 4 mm width UCP-LF strips specific for a single host protein – ApoA1, CRP, ferritin, IL-6, IP-10, SAA1/A2, and S100A12 - were produced as described earlier.24,28,29 For ApoA1, CRP, ferritin, IL-6, IP-10, SAA1/A2, and S100A12 LF strips, each Test (T) line comprised 200 ng of the following antibodies: goat-anti-human ApoA1 pAb (AF3664; R&D systems, Minneapolis, MN, USA), mouse-anti-human CRP mAb (C5; Labned.com, Amstelveen, the Netherlands), mouse-anti-human ferritin mAb (F31; Novus Biologicals, Littleton, CO, USA), rat-anti-human IL-6 mAb (MQ2-39C3; Biolegend, San Diego, CA, USA), mouse-anti-human IP-10 mAb (B-C55; Diaclone Research, Besancon, France), mouse-anti-human SAA1/A2 mAb (865504; R&D systems, Minneapolis, MN, USA), and goat-anti-human S100A12 pAb (AF1052; R&D systems, Minneapolis, MN, USA), respectively.

Techniques: MANN-WHITNEY, Control, Infection

Figure 2. Evaluation of host biomarkers for Dutch COVID-19 patients and healthy controls Levels of IL-6, IP-10, ferritin, SAA1/A2, CRP, ApoA1, and S100A12 were measured by UCP-LFA in serum samples of COVID-19 patients (n = 102) and healthy controls (n = 39; n = 27 from before (May) 2019 (n = 12 from after 2019 (June/July 2020)) from the Netherlands. Median values for each group are indicated by horizontal bars. Mann-Whitney U tests were performed to determine the statistical significance between groups (pvalues: *p%0 $ 05, **p%0 $ 01, ***p%0 $ 001, ****p %0 $ 0001). Orange dots: healthy controls from before 2019; purple dots: healthy controls from after 2019; black dots: COVID-19 patients with a fatal outcome; yellow dots: COVID-19 patients with severe disease; turquoise dots: COVID-19 patients with moderate disease. AUC: area under the curve; COVID-19: coronavirus disease 2019; Fc: flow control line; T: test line.

Journal: iScience

Article Title: Host biomarker-based quantitative rapid tests for detection and treatment monitoring of tuberculosis and COVID-19.

doi: 10.1016/j.isci.2022.105873

Figure Lengend Snippet: Figure 2. Evaluation of host biomarkers for Dutch COVID-19 patients and healthy controls Levels of IL-6, IP-10, ferritin, SAA1/A2, CRP, ApoA1, and S100A12 were measured by UCP-LFA in serum samples of COVID-19 patients (n = 102) and healthy controls (n = 39; n = 27 from before (May) 2019 (n = 12 from after 2019 (June/July 2020)) from the Netherlands. Median values for each group are indicated by horizontal bars. Mann-Whitney U tests were performed to determine the statistical significance between groups (pvalues: *p%0 $ 05, **p%0 $ 01, ***p%0 $ 001, ****p %0 $ 0001). Orange dots: healthy controls from before 2019; purple dots: healthy controls from after 2019; black dots: COVID-19 patients with a fatal outcome; yellow dots: COVID-19 patients with severe disease; turquoise dots: COVID-19 patients with moderate disease. AUC: area under the curve; COVID-19: coronavirus disease 2019; Fc: flow control line; T: test line.

Article Snippet: 4 mm width UCP-LF strips specific for a single host protein – ApoA1, CRP, ferritin, IL-6, IP-10, SAA1/A2, and S100A12 - were produced as described earlier.24,28,29 For ApoA1, CRP, ferritin, IL-6, IP-10, SAA1/A2, and S100A12 LF strips, each Test (T) line comprised 200 ng of the following antibodies: goat-anti-human ApoA1 pAb (AF3664; R&D systems, Minneapolis, MN, USA), mouse-anti-human CRP mAb (C5; Labned.com, Amstelveen, the Netherlands), mouse-anti-human ferritin mAb (F31; Novus Biologicals, Littleton, CO, USA), rat-anti-human IL-6 mAb (MQ2-39C3; Biolegend, San Diego, CA, USA), mouse-anti-human IP-10 mAb (B-C55; Diaclone Research, Besancon, France), mouse-anti-human SAA1/A2 mAb (865504; R&D systems, Minneapolis, MN, USA), and goat-anti-human S100A12 pAb (AF1052; R&D systems, Minneapolis, MN, USA), respectively.

Techniques: MANN-WHITNEY, Control

Figure 3. Evaluation of host biomarkers for TB and COVID-19 patients Levels of IL-6, IP-10, ferritin, SAA1/A2, CRP, ApoA1, and S100A12 were measured by UCP-LFA in serum samples of TB patients (n = 46) and COVID-19 patients (n = 102) collected in European hospitals. Median values for each group are indicated by horizontal bars. Mann-Whitney U tests were performed to determine the statistical significance between groups (pvalues: *p%0 $ 05, **p%0 $ 01, ***p%0 $ 001, ****p%0 $ 0001). Green dots: TB cohort 1; blue dots: TB cohort 2; black dots: COVID-19 patients. AUC: area under the curve; COVID-19: coronavirus disease 2019; Fc: flow control line; T: test line; TB: tuberculosis.

Journal: iScience

Article Title: Host biomarker-based quantitative rapid tests for detection and treatment monitoring of tuberculosis and COVID-19.

doi: 10.1016/j.isci.2022.105873

Figure Lengend Snippet: Figure 3. Evaluation of host biomarkers for TB and COVID-19 patients Levels of IL-6, IP-10, ferritin, SAA1/A2, CRP, ApoA1, and S100A12 were measured by UCP-LFA in serum samples of TB patients (n = 46) and COVID-19 patients (n = 102) collected in European hospitals. Median values for each group are indicated by horizontal bars. Mann-Whitney U tests were performed to determine the statistical significance between groups (pvalues: *p%0 $ 05, **p%0 $ 01, ***p%0 $ 001, ****p%0 $ 0001). Green dots: TB cohort 1; blue dots: TB cohort 2; black dots: COVID-19 patients. AUC: area under the curve; COVID-19: coronavirus disease 2019; Fc: flow control line; T: test line; TB: tuberculosis.

Article Snippet: 4 mm width UCP-LF strips specific for a single host protein – ApoA1, CRP, ferritin, IL-6, IP-10, SAA1/A2, and S100A12 - were produced as described earlier.24,28,29 For ApoA1, CRP, ferritin, IL-6, IP-10, SAA1/A2, and S100A12 LF strips, each Test (T) line comprised 200 ng of the following antibodies: goat-anti-human ApoA1 pAb (AF3664; R&D systems, Minneapolis, MN, USA), mouse-anti-human CRP mAb (C5; Labned.com, Amstelveen, the Netherlands), mouse-anti-human ferritin mAb (F31; Novus Biologicals, Littleton, CO, USA), rat-anti-human IL-6 mAb (MQ2-39C3; Biolegend, San Diego, CA, USA), mouse-anti-human IP-10 mAb (B-C55; Diaclone Research, Besancon, France), mouse-anti-human SAA1/A2 mAb (865504; R&D systems, Minneapolis, MN, USA), and goat-anti-human S100A12 pAb (AF1052; R&D systems, Minneapolis, MN, USA), respectively.

Techniques: MANN-WHITNEY, Control

Figure 4. Treatment monitoring for TB Levels of IL-6, IP-10, ferritin, SAA1/A2, CRP, ApoA1, and S100A12 were measured by UCP-LFA in serum samples of pulmonary TB patients (n = 22) before treatment (t0), at months 2–4 (t1), and months 5–9 (t2) of treatment. Median values for each group are indicated by horizontal bars. The gray dotted lines represent the median value of the corresponding marker measured for 39 healthy controls. S100A12 data were missing for one patient. Friedman test with Dunn’s correction for multiple testing was performed to determine the statistical significance between timepoints (pvalues: *p%0 $ 05, **p%0 $ 01, ***p%0 $ 001, ****p%0 $ 0001). Fc: flow control line; T: test line; TB: tuberculosis; t0: first timepoints; t1: 2–4 months after the beginning of treatment; t2: 5–9 months after the beginning of treatment.

Journal: iScience

Article Title: Host biomarker-based quantitative rapid tests for detection and treatment monitoring of tuberculosis and COVID-19.

doi: 10.1016/j.isci.2022.105873

Figure Lengend Snippet: Figure 4. Treatment monitoring for TB Levels of IL-6, IP-10, ferritin, SAA1/A2, CRP, ApoA1, and S100A12 were measured by UCP-LFA in serum samples of pulmonary TB patients (n = 22) before treatment (t0), at months 2–4 (t1), and months 5–9 (t2) of treatment. Median values for each group are indicated by horizontal bars. The gray dotted lines represent the median value of the corresponding marker measured for 39 healthy controls. S100A12 data were missing for one patient. Friedman test with Dunn’s correction for multiple testing was performed to determine the statistical significance between timepoints (pvalues: *p%0 $ 05, **p%0 $ 01, ***p%0 $ 001, ****p%0 $ 0001). Fc: flow control line; T: test line; TB: tuberculosis; t0: first timepoints; t1: 2–4 months after the beginning of treatment; t2: 5–9 months after the beginning of treatment.

Article Snippet: 4 mm width UCP-LF strips specific for a single host protein – ApoA1, CRP, ferritin, IL-6, IP-10, SAA1/A2, and S100A12 - were produced as described earlier.24,28,29 For ApoA1, CRP, ferritin, IL-6, IP-10, SAA1/A2, and S100A12 LF strips, each Test (T) line comprised 200 ng of the following antibodies: goat-anti-human ApoA1 pAb (AF3664; R&D systems, Minneapolis, MN, USA), mouse-anti-human CRP mAb (C5; Labned.com, Amstelveen, the Netherlands), mouse-anti-human ferritin mAb (F31; Novus Biologicals, Littleton, CO, USA), rat-anti-human IL-6 mAb (MQ2-39C3; Biolegend, San Diego, CA, USA), mouse-anti-human IP-10 mAb (B-C55; Diaclone Research, Besancon, France), mouse-anti-human SAA1/A2 mAb (865504; R&D systems, Minneapolis, MN, USA), and goat-anti-human S100A12 pAb (AF1052; R&D systems, Minneapolis, MN, USA), respectively.

Techniques: Marker, Control

Figure 5. Treatment monitoring for COVID-19 Levels of IL-6, IP-10, ferritin, SAA1/A2, CRP, ApoA1, and S100A12 were measured by UCP-LFA in serum samples from COVID-19 patients (n = 25) at hospital admission (t0) and follow-up (t2). Median values for each group are indicated by horizontal bars. The gray dotted lines represent the median value of the corresponding marker measured for 39 healthy controls. Wilcoxon matched pairs signed rank tests were performed to determine the statistical significances between timepoints (pvalues: *p%0 $ 05, **p%0 $ 01, ***p%0 $ 001, ****p%0 $ 0001). COVID-19: coronavirus disease 2019; Fc: flow control line; T: test line; t0: timepoint of hospital admission; t2: follow-up around 6 weeks after hospital discharge.

Journal: iScience

Article Title: Host biomarker-based quantitative rapid tests for detection and treatment monitoring of tuberculosis and COVID-19.

doi: 10.1016/j.isci.2022.105873

Figure Lengend Snippet: Figure 5. Treatment monitoring for COVID-19 Levels of IL-6, IP-10, ferritin, SAA1/A2, CRP, ApoA1, and S100A12 were measured by UCP-LFA in serum samples from COVID-19 patients (n = 25) at hospital admission (t0) and follow-up (t2). Median values for each group are indicated by horizontal bars. The gray dotted lines represent the median value of the corresponding marker measured for 39 healthy controls. Wilcoxon matched pairs signed rank tests were performed to determine the statistical significances between timepoints (pvalues: *p%0 $ 05, **p%0 $ 01, ***p%0 $ 001, ****p%0 $ 0001). COVID-19: coronavirus disease 2019; Fc: flow control line; T: test line; t0: timepoint of hospital admission; t2: follow-up around 6 weeks after hospital discharge.

Article Snippet: 4 mm width UCP-LF strips specific for a single host protein – ApoA1, CRP, ferritin, IL-6, IP-10, SAA1/A2, and S100A12 - were produced as described earlier.24,28,29 For ApoA1, CRP, ferritin, IL-6, IP-10, SAA1/A2, and S100A12 LF strips, each Test (T) line comprised 200 ng of the following antibodies: goat-anti-human ApoA1 pAb (AF3664; R&D systems, Minneapolis, MN, USA), mouse-anti-human CRP mAb (C5; Labned.com, Amstelveen, the Netherlands), mouse-anti-human ferritin mAb (F31; Novus Biologicals, Littleton, CO, USA), rat-anti-human IL-6 mAb (MQ2-39C3; Biolegend, San Diego, CA, USA), mouse-anti-human IP-10 mAb (B-C55; Diaclone Research, Besancon, France), mouse-anti-human SAA1/A2 mAb (865504; R&D systems, Minneapolis, MN, USA), and goat-anti-human S100A12 pAb (AF1052; R&D systems, Minneapolis, MN, USA), respectively.

Techniques: Marker, Control

Serum S100A12 levels of healthy controls and patients with COVID-19. ( a ) Serum S100A12 levels of controls, patients with moderate and severe COVID-19; ( b ) receiver operating characteristic curve for discrimination of moderate and severe COVID-19. Outliers are indicated by circles (S100A12 levels >1.5 × the interquartile range) and asterisks (S100A12 levels >3.0 × the interquartile range).

Journal: Viruses

Article Title: High Serum S100A12 as a Diagnostic and Prognostic Biomarker for Severity, Multidrug-Resistant Bacteria Superinfection and Herpes Simplex Virus Reactivation in COVID-19

doi: 10.3390/v16071084

Figure Lengend Snippet: Serum S100A12 levels of healthy controls and patients with COVID-19. ( a ) Serum S100A12 levels of controls, patients with moderate and severe COVID-19; ( b ) receiver operating characteristic curve for discrimination of moderate and severe COVID-19. Outliers are indicated by circles (S100A12 levels >1.5 × the interquartile range) and asterisks (S100A12 levels >3.0 × the interquartile range).

Article Snippet: Serum S100A12 levels were measured using the IDK ® S100A12 ELISA kit (Immundiagnostik AG, Bensheim, Germany).

Techniques:

Serum  S100A12  levels (µg/mL) of patients on dialysis and vasopressor therapy in comparison to patients without this intervention/therapy.

Journal: Viruses

Article Title: High Serum S100A12 as a Diagnostic and Prognostic Biomarker for Severity, Multidrug-Resistant Bacteria Superinfection and Herpes Simplex Virus Reactivation in COVID-19

doi: 10.3390/v16071084

Figure Lengend Snippet: Serum S100A12 levels (µg/mL) of patients on dialysis and vasopressor therapy in comparison to patients without this intervention/therapy.

Article Snippet: Serum S100A12 levels were measured using the IDK ® S100A12 ELISA kit (Immundiagnostik AG, Bensheim, Germany).

Techniques: Comparison

Spearman correlation coefficients for the correlation of serum  S100A12  levels with inflammatory parameters and immune cell counts.

Journal: Viruses

Article Title: High Serum S100A12 as a Diagnostic and Prognostic Biomarker for Severity, Multidrug-Resistant Bacteria Superinfection and Herpes Simplex Virus Reactivation in COVID-19

doi: 10.3390/v16071084

Figure Lengend Snippet: Spearman correlation coefficients for the correlation of serum S100A12 levels with inflammatory parameters and immune cell counts.

Article Snippet: Serum S100A12 levels were measured using the IDK ® S100A12 ELISA kit (Immundiagnostik AG, Bensheim, Germany).

Techniques: Marker

Serum S100A12 levels of patients with severe COVID-19 and bacterial superinfection or herpes simplex virus reactivation. ( a ) Serum S100A12 levels of patients with severe COVID-19 without (No) and with (Yes) bacteremia; ( b ) serum S100A12 levels of patients with severe COVID-19 without (No) and with (Yes) vancomycin-resistant bacteria (VRE) superinfection ( c ) ROC curve for the discrimination of patients with and without vancomycin-resistant bacteria; ( d ) serum S100A12 levels of patients with severe COVID-19 with (Yes) and without (No) herpes simplex virus (HSV) reactivation. Outliers are indicated by circles (S100A12 levels >1.5 × the interquartile range) and asterisks (S100A12 levels >3.0 × the interquartile range).

Journal: Viruses

Article Title: High Serum S100A12 as a Diagnostic and Prognostic Biomarker for Severity, Multidrug-Resistant Bacteria Superinfection and Herpes Simplex Virus Reactivation in COVID-19

doi: 10.3390/v16071084

Figure Lengend Snippet: Serum S100A12 levels of patients with severe COVID-19 and bacterial superinfection or herpes simplex virus reactivation. ( a ) Serum S100A12 levels of patients with severe COVID-19 without (No) and with (Yes) bacteremia; ( b ) serum S100A12 levels of patients with severe COVID-19 without (No) and with (Yes) vancomycin-resistant bacteria (VRE) superinfection ( c ) ROC curve for the discrimination of patients with and without vancomycin-resistant bacteria; ( d ) serum S100A12 levels of patients with severe COVID-19 with (Yes) and without (No) herpes simplex virus (HSV) reactivation. Outliers are indicated by circles (S100A12 levels >1.5 × the interquartile range) and asterisks (S100A12 levels >3.0 × the interquartile range).

Article Snippet: Serum S100A12 levels were measured using the IDK ® S100A12 ELISA kit (Immundiagnostik AG, Bensheim, Germany).

Techniques: Virus, Bacteria

Serum S100A12 and survival. Serum S100A12 levels of surviving and non-surviving patients with severe COVID-19. Outliers are indicated by circles (S100A12 levels >1.5 × the interquartile range) and asterisks (S100A12 levels >3.0 × the interquartile range).

Journal: Viruses

Article Title: High Serum S100A12 as a Diagnostic and Prognostic Biomarker for Severity, Multidrug-Resistant Bacteria Superinfection and Herpes Simplex Virus Reactivation in COVID-19

doi: 10.3390/v16071084

Figure Lengend Snippet: Serum S100A12 and survival. Serum S100A12 levels of surviving and non-surviving patients with severe COVID-19. Outliers are indicated by circles (S100A12 levels >1.5 × the interquartile range) and asterisks (S100A12 levels >3.0 × the interquartile range).

Article Snippet: Serum S100A12 levels were measured using the IDK ® S100A12 ELISA kit (Immundiagnostik AG, Bensheim, Germany).

Techniques:

Fig. 1 Levels of serum and urinary S100A8/A9 and S100A12 in MPO-AAV patients and normal controls. Comparison of concentrations of serum S100A8/A9 (A), serum S100A12 (B), urinary S100A8/A9 (C), and urinary S100A12 (D) between MPO-AAV patients in the active period or remission and NC. E The relationship between serum S100A8/A9 and serum S100A12 in active MPO-AAV. F The relationship between urinary S100A8/A9 and urinary S100A12 in active MPO-AAV. NC: normal controls. ns: not significant

Journal: BMC immunology

Article Title: The potential pathogenic roles of S100A8/A9 and S100A12 in patients with MPO-ANCA-positive vasculitis.

doi: 10.1186/s12865-022-00513-4

Figure Lengend Snippet: Fig. 1 Levels of serum and urinary S100A8/A9 and S100A12 in MPO-AAV patients and normal controls. Comparison of concentrations of serum S100A8/A9 (A), serum S100A12 (B), urinary S100A8/A9 (C), and urinary S100A12 (D) between MPO-AAV patients in the active period or remission and NC. E The relationship between serum S100A8/A9 and serum S100A12 in active MPO-AAV. F The relationship between urinary S100A8/A9 and urinary S100A12 in active MPO-AAV. NC: normal controls. ns: not significant

Article Snippet: Concentrations of S100A8/A9 (439707, Biolegend) and S100A12 (CSB-E13095h, Cusabio) in serum and urine from participants were measured by ELISA according to the manufacturer’s instructions.

Techniques: Comparison

Fig. 2 The correlations between serum/urinary S100A8/A9 and S100A12 and clinical parameters in 34 active MPO-AAV. A–G showed the correlations of serum S100A8/A9 and the level of MPO-ANCA (A), serum ferritin (B), CRP (C), D-Dimer (D), erythrocyte sedimentation rate (E), rheumatoid factor (F), serum albumin (G). H and I showed the correlations of serum S100A12 and the level of MPO-ANCA (H) and serum ferritin (I). J–N showed the correlations of urinary S100A8/A9 and MPO-ANCA (J), BVAS (K), serum creatinine (L), hematuria (M), and urinary NGAL (N). O Showed the correlation between urinary S100A12 and serum creatinine. BVAS: Birmingham vasculitis activity score. NGAL: neutrophil gelatinase-associated lipocalin

Journal: BMC immunology

Article Title: The potential pathogenic roles of S100A8/A9 and S100A12 in patients with MPO-ANCA-positive vasculitis.

doi: 10.1186/s12865-022-00513-4

Figure Lengend Snippet: Fig. 2 The correlations between serum/urinary S100A8/A9 and S100A12 and clinical parameters in 34 active MPO-AAV. A–G showed the correlations of serum S100A8/A9 and the level of MPO-ANCA (A), serum ferritin (B), CRP (C), D-Dimer (D), erythrocyte sedimentation rate (E), rheumatoid factor (F), serum albumin (G). H and I showed the correlations of serum S100A12 and the level of MPO-ANCA (H) and serum ferritin (I). J–N showed the correlations of urinary S100A8/A9 and MPO-ANCA (J), BVAS (K), serum creatinine (L), hematuria (M), and urinary NGAL (N). O Showed the correlation between urinary S100A12 and serum creatinine. BVAS: Birmingham vasculitis activity score. NGAL: neutrophil gelatinase-associated lipocalin

Article Snippet: Concentrations of S100A8/A9 (439707, Biolegend) and S100A12 (CSB-E13095h, Cusabio) in serum and urine from participants were measured by ELISA according to the manufacturer’s instructions.

Techniques: Sedimentation, Activity Assay

Fig. 4 Influence of different concentrations of S100A8/A9, and S100A12 on the chemotaxis and cell death of neutrophils. A The chemotaxis index of ANCA-activated neutrophils treated with different concentrations of S100A8/A9 and S100A12. B Effects of S100A8/A9 and S100A12 on the cell death of ANCA-activated neutrophils. C–K Representative images of the flow cytometry analysis. C Neutrophils were incubated with PBS. D Neutrophils were incubated with normal-IgG. E Neutrophils were incubated with ANCA-IgG alone. F–H Neutrophils were incubated with ANCA combined with 1, 5, and 10 μg/ml S100A8/A9, respectively. I–K Neutrophils were incubated with ANCA combined with 1, 5, and 10 μg/ml S100A12, respectively. *p < 0.05, **p < 0.01, ns: not significant

Journal: BMC immunology

Article Title: The potential pathogenic roles of S100A8/A9 and S100A12 in patients with MPO-ANCA-positive vasculitis.

doi: 10.1186/s12865-022-00513-4

Figure Lengend Snippet: Fig. 4 Influence of different concentrations of S100A8/A9, and S100A12 on the chemotaxis and cell death of neutrophils. A The chemotaxis index of ANCA-activated neutrophils treated with different concentrations of S100A8/A9 and S100A12. B Effects of S100A8/A9 and S100A12 on the cell death of ANCA-activated neutrophils. C–K Representative images of the flow cytometry analysis. C Neutrophils were incubated with PBS. D Neutrophils were incubated with normal-IgG. E Neutrophils were incubated with ANCA-IgG alone. F–H Neutrophils were incubated with ANCA combined with 1, 5, and 10 μg/ml S100A8/A9, respectively. I–K Neutrophils were incubated with ANCA combined with 1, 5, and 10 μg/ml S100A12, respectively. *p < 0.05, **p < 0.01, ns: not significant

Article Snippet: Concentrations of S100A8/A9 (439707, Biolegend) and S100A12 (CSB-E13095h, Cusabio) in serum and urine from participants were measured by ELISA according to the manufacturer’s instructions.

Techniques: Chemotaxis Assay, Flow Cytometry, Incubation

Fig. 3 ANCA IgG stimulated neutrophils to release S100A8/A9 (A) and S100A12 (B) concentration-dependently. *p < 0.05, **p < 0.01

Journal: BMC immunology

Article Title: The potential pathogenic roles of S100A8/A9 and S100A12 in patients with MPO-ANCA-positive vasculitis.

doi: 10.1186/s12865-022-00513-4

Figure Lengend Snippet: Fig. 3 ANCA IgG stimulated neutrophils to release S100A8/A9 (A) and S100A12 (B) concentration-dependently. *p < 0.05, **p < 0.01

Article Snippet: Concentrations of S100A8/A9 (439707, Biolegend) and S100A12 (CSB-E13095h, Cusabio) in serum and urine from participants were measured by ELISA according to the manufacturer’s instructions.

Techniques: Concentration Assay

Fig. 5 S100A8/A9 and S100A12 enhanced the release of IL-1β and complement activation of ANCA-stimulated neutrophils through TLR4/RAGE. A Effects of S100A8/A9 and S100A12 on the release of IL-1β from ANCA-activated neutrophils. B–D Effects of S100A8/A9 and S100A12 on the supernatant concentrations of C5a, CBb, and sC5b-9 of ANCA-activated neutrophils. *p < 0.05, **p < 0.01, ***p < 0.001, ns: not significant

Journal: BMC immunology

Article Title: The potential pathogenic roles of S100A8/A9 and S100A12 in patients with MPO-ANCA-positive vasculitis.

doi: 10.1186/s12865-022-00513-4

Figure Lengend Snippet: Fig. 5 S100A8/A9 and S100A12 enhanced the release of IL-1β and complement activation of ANCA-stimulated neutrophils through TLR4/RAGE. A Effects of S100A8/A9 and S100A12 on the release of IL-1β from ANCA-activated neutrophils. B–D Effects of S100A8/A9 and S100A12 on the supernatant concentrations of C5a, CBb, and sC5b-9 of ANCA-activated neutrophils. *p < 0.05, **p < 0.01, ***p < 0.001, ns: not significant

Article Snippet: Concentrations of S100A8/A9 (439707, Biolegend) and S100A12 (CSB-E13095h, Cusabio) in serum and urine from participants were measured by ELISA according to the manufacturer’s instructions.

Techniques: Activation Assay

Fig. 6 S100A8/A9 and S100A12 played their pro-inflammatory effects through the p38 MAPK/NF-κB p65 pathway. The full-length blot of GAPDH in A was absent for the limited exposure space. A S100A8/A9 and S100A12 induced p38 MAPK phosphorylation and NF-κB p65 expression. B The phosphorylation ratios of p38 after neutrophils were stimulated with a combination of ANCA and S100A8/A9 or S100A12. C The activation of NF-κB p65 after neutrophils were stimulated with a combination of ANCA and S100A8/A9 or S100A12. D The phosphorylation of p38 MAPK and the activation of NF-κB p65 after the blockade of TLR4 and RAGE. E The phosphorylation ratio of p38 after blocking TLR4 and RAGE. F The expression of NF-κB p65 after blocking TLR4 and RAGE. *p < 0.05, **p < 0.01, ns: not significant

Journal: BMC immunology

Article Title: The potential pathogenic roles of S100A8/A9 and S100A12 in patients with MPO-ANCA-positive vasculitis.

doi: 10.1186/s12865-022-00513-4

Figure Lengend Snippet: Fig. 6 S100A8/A9 and S100A12 played their pro-inflammatory effects through the p38 MAPK/NF-κB p65 pathway. The full-length blot of GAPDH in A was absent for the limited exposure space. A S100A8/A9 and S100A12 induced p38 MAPK phosphorylation and NF-κB p65 expression. B The phosphorylation ratios of p38 after neutrophils were stimulated with a combination of ANCA and S100A8/A9 or S100A12. C The activation of NF-κB p65 after neutrophils were stimulated with a combination of ANCA and S100A8/A9 or S100A12. D The phosphorylation of p38 MAPK and the activation of NF-κB p65 after the blockade of TLR4 and RAGE. E The phosphorylation ratio of p38 after blocking TLR4 and RAGE. F The expression of NF-κB p65 after blocking TLR4 and RAGE. *p < 0.05, **p < 0.01, ns: not significant

Article Snippet: Concentrations of S100A8/A9 (439707, Biolegend) and S100A12 (CSB-E13095h, Cusabio) in serum and urine from participants were measured by ELISA according to the manufacturer’s instructions.

Techniques: Phospho-proteomics, Expressing, Activation Assay, Blocking Assay

Fig. 7 Effects of S100A8/A9 and S100A12 on the production of ROS and NETs in AAV. A–I Representative images of influences of S100A8/A9 and S100A12 on ANCA-induced production of ROS. Neutrophils were incubated with different stimulators and analyzed using flow cytometry. A Neutrophils were incubated with PBS. B Neutrophils were incubated with normal-IgG. C Neutrophils were incubated with ANCA. D–F Neutrophils were incubated with ANCA combined with 1, 5, and 10 μg/ml S100A8/A9, respectively. G–I Neutrophils were incubated with ANCA combined with 1, 5, and 10 μg/ml S100A12, respectively. J The mean fluorescence intensity of ROS after neutrophils were incubated with different stimulators. K Effects of S100A8/A9 and S100A12 on ANCA-induced formation of NETs. NE: neutrophil elastase

Journal: BMC immunology

Article Title: The potential pathogenic roles of S100A8/A9 and S100A12 in patients with MPO-ANCA-positive vasculitis.

doi: 10.1186/s12865-022-00513-4

Figure Lengend Snippet: Fig. 7 Effects of S100A8/A9 and S100A12 on the production of ROS and NETs in AAV. A–I Representative images of influences of S100A8/A9 and S100A12 on ANCA-induced production of ROS. Neutrophils were incubated with different stimulators and analyzed using flow cytometry. A Neutrophils were incubated with PBS. B Neutrophils were incubated with normal-IgG. C Neutrophils were incubated with ANCA. D–F Neutrophils were incubated with ANCA combined with 1, 5, and 10 μg/ml S100A8/A9, respectively. G–I Neutrophils were incubated with ANCA combined with 1, 5, and 10 μg/ml S100A12, respectively. J The mean fluorescence intensity of ROS after neutrophils were incubated with different stimulators. K Effects of S100A8/A9 and S100A12 on ANCA-induced formation of NETs. NE: neutrophil elastase

Article Snippet: Concentrations of S100A8/A9 (439707, Biolegend) and S100A12 (CSB-E13095h, Cusabio) in serum and urine from participants were measured by ELISA according to the manufacturer’s instructions.

Techniques: Incubation, Flow Cytometry, Fluorescence

Distinctive structural and molecular characteristics of porcine volar skin. (A) Trichrome‐stained tissue sections from porcine trunk (left) and volar skin (right) are shown at the same magnification for comparison. Note the great difference in thickness between the epidermis in trunk skin (bracket #1) versus volar skin (brackets #3 and 4). The trunk stratum corneum is too thin to see in the main image and is therefore shown in the inset (bracket #2), displaying the classic layered structure. In contrast, the volar stratum corneum (bracket #4) is greatly thickened and has a compact structure. (B) IHC staining (red) showing differential expression of marker proteins in trunk versus volar (plantar) skin, as labeled in the figure. Porcine volar skin is distinguished by upregulation of S100A8, expression of S100A12, altered spatial distribution of S100A14 (strong pericellular staining in the viable epidermis with weak staining in the stratum corneum in plantar skin, vs. strong stratum corneum staining in trunk skin) and downregulation of STIM1. Insets show the plantar epidermis (specifically the stratum spinosum ) at higher magnification. Scale bars: A: 1 mm; inset, 25 μm; B: Trunk, 25 μm; plantar, 1 mm; insets, 50 μm.

Journal: The FASEB Journal

Article Title: Structural and molecular characteristics of weight‐bearing volar skin can be reconstituted by micro skin tissue column grafting

doi: 10.1096/fj.202400866R

Figure Lengend Snippet: Distinctive structural and molecular characteristics of porcine volar skin. (A) Trichrome‐stained tissue sections from porcine trunk (left) and volar skin (right) are shown at the same magnification for comparison. Note the great difference in thickness between the epidermis in trunk skin (bracket #1) versus volar skin (brackets #3 and 4). The trunk stratum corneum is too thin to see in the main image and is therefore shown in the inset (bracket #2), displaying the classic layered structure. In contrast, the volar stratum corneum (bracket #4) is greatly thickened and has a compact structure. (B) IHC staining (red) showing differential expression of marker proteins in trunk versus volar (plantar) skin, as labeled in the figure. Porcine volar skin is distinguished by upregulation of S100A8, expression of S100A12, altered spatial distribution of S100A14 (strong pericellular staining in the viable epidermis with weak staining in the stratum corneum in plantar skin, vs. strong stratum corneum staining in trunk skin) and downregulation of STIM1. Insets show the plantar epidermis (specifically the stratum spinosum ) at higher magnification. Scale bars: A: 1 mm; inset, 25 μm; B: Trunk, 25 μm; plantar, 1 mm; insets, 50 μm.

Article Snippet: Immunohistochemical staining was performed as previously described, using antibodies against Keratin 7 (Abcam, ab68460, 1:100), Keratin 9 (Abcam, ab171966, 1:200), Vimentin (Vector Laboratories, VP‐RM17, 1:100), S100A8 (MyBiosource, MBS2028565, San Diego, CA, 1:400), S100A12 (Novus Biologicals, NBP1‐86694, Centennial, CO, 1:250), S100A14 (ThermoFisher, PA5‐55666, Waltham, MA, 1:2500), and STIM1 (Novus Biologicals, NBP110‐60547, Centennial, CO, 1:200).

Techniques: Staining, Comparison, Immunohistochemistry, Quantitative Proteomics, Marker, Labeling, Expressing

Volar characteristics recapitulated in ectopic graft sites. (A) Photographs of graft sites taken at various timepoints after injury and MSTC grafting, as denoted in the figure. Each photograph is shown at 2.5 mm across. The wound edges were tattooed with black ink to facilitate tracking of wound contraction. (B–E) Trichrome staining of graft sites at week 8. (B) Graft site treated with volar MSTCs, edges of graft site marked by arrowheads. (C) High‐power view of a volar MSTC‐treated graft site, focusing on the transition zone between the volar‐treated wound area (left of the dotted line) and the neighboring skin (right of the dotted line). Note substantially thickened epidermis, structurally compact stratum corneum, as well as pronounced rete ridges (arrows). (D) Control wound site histology, with edges of the injured area marked by arrowheads. (E) High‐power view of control wound, showing the transition zone between area of injury (left of the dotted line) and the neighboring skin (right of the dotted line). Note the epidermis and stratum corneum are similar in both thickness and structure between the injured area and surrounding skin, as well as the paucity of rete ridges in the area of injury. (F) Wound area measured at week 8, showing less contraction in the MSTC‐treated group compared to control. (G) The ratio between the lengths of the dermal‐epidermal junction (DEJ) and the top of the viable epidermis was taken to reflect the extent of rete ridges, which was about 2.5x greater in the volar MSTC‐treated wounds. (H) The stratum corneum was also significantly thicker in the volar MSTC‐treated wounds than in controls. (I–L) IHC staining of volar MSTC‐treated sites for various volar markers, as indicated in the images. Images are focused on the transition zone between the volar‐treated wound area (left of the dotted line) and the neighboring skin (right of the dotted line). (I) Strong S100A8 expression, most notably in the stratum corneum, in the volar MSTC‐treated wound area, but not in neighboring skin. (J) Expression of S100A12 only in the volar MSTC‐treated wound area, but not in neighboring skin. (K) The volar‐treated wound area shows strong pericellular S100A14 expression in the viable epidermis but weak expression in the stratum corneum, as opposed to the neighboring skin, where S100A14 expression is much stronger in the stratum corneum. (L) STIM1 expression is reduced in the volar MSTC‐treated wound area. (M–R) Quantification of IHC staining intensity for the different markers of interest. (M–P) show results from the viable epidermis. (Q and R) show results in the stratum corneum. In summary, the structural and molecular changes are consistent with characteristics of volar skin, and are highly specific to the volar MSTC‐treated areas, indicating that they are not a mere byproduct of the general wound healing response. * p < .05; ** p < .01; *** p = .0001; **** p < .0001; ns, not significant. Scale bars: B: 1 mm; C: 250 μm; D: 1 mm; I–L: 250 μm.

Journal: The FASEB Journal

Article Title: Structural and molecular characteristics of weight‐bearing volar skin can be reconstituted by micro skin tissue column grafting

doi: 10.1096/fj.202400866R

Figure Lengend Snippet: Volar characteristics recapitulated in ectopic graft sites. (A) Photographs of graft sites taken at various timepoints after injury and MSTC grafting, as denoted in the figure. Each photograph is shown at 2.5 mm across. The wound edges were tattooed with black ink to facilitate tracking of wound contraction. (B–E) Trichrome staining of graft sites at week 8. (B) Graft site treated with volar MSTCs, edges of graft site marked by arrowheads. (C) High‐power view of a volar MSTC‐treated graft site, focusing on the transition zone between the volar‐treated wound area (left of the dotted line) and the neighboring skin (right of the dotted line). Note substantially thickened epidermis, structurally compact stratum corneum, as well as pronounced rete ridges (arrows). (D) Control wound site histology, with edges of the injured area marked by arrowheads. (E) High‐power view of control wound, showing the transition zone between area of injury (left of the dotted line) and the neighboring skin (right of the dotted line). Note the epidermis and stratum corneum are similar in both thickness and structure between the injured area and surrounding skin, as well as the paucity of rete ridges in the area of injury. (F) Wound area measured at week 8, showing less contraction in the MSTC‐treated group compared to control. (G) The ratio between the lengths of the dermal‐epidermal junction (DEJ) and the top of the viable epidermis was taken to reflect the extent of rete ridges, which was about 2.5x greater in the volar MSTC‐treated wounds. (H) The stratum corneum was also significantly thicker in the volar MSTC‐treated wounds than in controls. (I–L) IHC staining of volar MSTC‐treated sites for various volar markers, as indicated in the images. Images are focused on the transition zone between the volar‐treated wound area (left of the dotted line) and the neighboring skin (right of the dotted line). (I) Strong S100A8 expression, most notably in the stratum corneum, in the volar MSTC‐treated wound area, but not in neighboring skin. (J) Expression of S100A12 only in the volar MSTC‐treated wound area, but not in neighboring skin. (K) The volar‐treated wound area shows strong pericellular S100A14 expression in the viable epidermis but weak expression in the stratum corneum, as opposed to the neighboring skin, where S100A14 expression is much stronger in the stratum corneum. (L) STIM1 expression is reduced in the volar MSTC‐treated wound area. (M–R) Quantification of IHC staining intensity for the different markers of interest. (M–P) show results from the viable epidermis. (Q and R) show results in the stratum corneum. In summary, the structural and molecular changes are consistent with characteristics of volar skin, and are highly specific to the volar MSTC‐treated areas, indicating that they are not a mere byproduct of the general wound healing response. * p < .05; ** p < .01; *** p = .0001; **** p < .0001; ns, not significant. Scale bars: B: 1 mm; C: 250 μm; D: 1 mm; I–L: 250 μm.

Article Snippet: Immunohistochemical staining was performed as previously described, using antibodies against Keratin 7 (Abcam, ab68460, 1:100), Keratin 9 (Abcam, ab171966, 1:200), Vimentin (Vector Laboratories, VP‐RM17, 1:100), S100A8 (MyBiosource, MBS2028565, San Diego, CA, 1:400), S100A12 (Novus Biologicals, NBP1‐86694, Centennial, CO, 1:250), S100A14 (ThermoFisher, PA5‐55666, Waltham, MA, 1:2500), and STIM1 (Novus Biologicals, NBP110‐60547, Centennial, CO, 1:200).

Techniques: Staining, Control, Immunohistochemistry, Expressing