sdc4 (R&D Systems)
Structured Review

Sdc4, supplied by R&D Systems, used in various techniques. Bioz Stars score: 93/100, based on 9 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/sdc4/product/R&D Systems
Average 93 stars, based on 9 article reviews
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1) Product Images from "Glycoprotein non-metastatic melanoma protein B is a potential biomarker for arthroplasty aseptic loosening"
Article Title: Glycoprotein non-metastatic melanoma protein B is a potential biomarker for arthroplasty aseptic loosening
Journal: Scientific Reports
doi: 10.1038/s41598-025-13922-3
Figure Legend Snippet: Transcriptome analysis of eight sex- and age-balanced BM-MSC preparations by RNA-seq. ( A ) Volcano plot emphasizing differentially expressed genes with DESeq2-based p adj -value cut-off 0.05. These genes were included in the gene set enrichment analysis in C , D . Arrows highlight GPNMB and SDC4 . ( B ) Heatmap showing differentially expressed genes with DESeq2-based p adj -value cut-off 0.05. Qlucore Omics Explorer was used for the heatmap visualisation and normalization of the data (each column has mean of 0 and variance of 1) of four primary hip surgeries vs. four revisions (2x hip, 2x knee). Arrows highlight GPNMB and SDC4 . ( C ) KEGG analyses (KEGG: https://www.kegg.jp/ ; of downregulated genes (upper panel) as identified using DESeq2. Gene ontologies for Biological Processes (middle panel) and Molecular Functions (lower panel) are included. ( D ) KEGG analyses of upregulated genes (upper panel) as identified using DESeq2. Gene ontologies for Biological Processes (middle panel) and Molecular Functions (lower panel) are included.
Techniques Used: RNA Sequencing
Figure Legend Snippet: Transcriptome analysis of all primary vs. all revision arthroplasties at both implantation sites (28 samples). ( A ) KEGG analyses (KEGG: https://www.kegg.jp/ ; of downregulated genes (upper panel). Gene ontologies for Biological Processes (middle panel) and Molecular Functions (lower panel) are included. ( B ) KEGG analyses of upregulated genes (upper panel). Gene ontologies for Biological Processes (middle panel) and Molecular Functions (lower panel) are included. ( C ) RNA-seq data for GPNMB in BM-MSCs (normalised counts). For the statistical comparisons between primary and revision the parametric unpaired Welch’s t-test was used. Experimental data are shown as individual values. ( D , E ) GPNMB relative expression levels in BM-MSCs based on RPS29 as housekeeping gene. E indicates the levels for individual samples. ( F ) GPNMB relative expression levels in MNCs from blood (PB) and synovial fluid (SF). ( G ) RNA-seq data for SDC4 in BM-MSCs (normalised counts). For the statistical comparisons between primary and revision the parametric unpaired Welch’s t-test was used. Experimental data are shown as individual values. (H , I) SDC4 relative expression levels in BM-MSCs based on RPS29 as housekeeping gene. I indicates the levels for individual samples. ( J ) SDC4 relative expression levels in MNCs from blood (PB) and synovial fluid (SF). The black bar in C, D, G, H represents the median value. * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001.
Techniques Used: RNA Sequencing, Expressing

![<t>Syndecan-4</t> ( S dc 4 ) mRNA and protein are altered in early diabetic kidney disease (DKD). Glomerular endothelial cells (GECs) were sorted by fluorescence-activated cell sorting, and ( a ) S dc 4 and ( b ) S dc 1 mRNA expression were determined. The 2 −ΔΔCT method of quantification was used to calculate the fold change, normalized to glyceraldehyde-3-phosphate dehydrogenase, at week 8 post-streptozotocin (STZ), ( S dc 4 : control, 1.000 ± 0.2565, n = 9 mice; diabetes, 2.470 ± 0.6580, n = 8 mice; * P < 0.05; S dc 1 : control, 1.000 ± 0.1112, n = 5 mice; diabetes, 1.663 ± 0.4289, n = 5 mice; nonsignificant [NS]). Control and diabetic kidney sections were labeled with <t>SDC4</t> and endothelial membrane label R18. ( c ) Peak-to-peak assessment of the glomerular endothelial glycocalyx using SDC4 labeling at week 9 post-STZ showed a significant reduction in glycocalyx SDC4 in diabetes (control, 182.5 ± 12.04, n = 5 mice; diabetes, 64.31 ± 6.513, n = 5 mice; *** P < 0.0001). Isolated glomerular lysates from control and diabetic mice were used to determine ( d ) SDC4 and ( e ) SDC1 concentration using SDC4 and SDC1 ectodomain enzyme-linked immunosorbent assay <t>(ELISA).</t> The data were then normalized to total protein content. SDC4 (control, 1.327 ± 0.1439, n = 6 mice; diabetes, 0.8059 ± 0.1218, n = 6 mice; * P < 0.05); SDC1 (control, 9.671 ± 1.742, n = 6 mice; diabetes, 9.699 ± 1.313, n = 6 mice; NS) at week 8 post-STZ. SDC4 shedding in the ( f ) plasma and ( g ) urine was determined in DKD using the SDC4 ectodomain ELISA at week 8 post-STZ. For plasma: control, 2.631 ± 0.2860, n = 6 mice; diabetes, 4.801 ± 0.3793, n = 6 mice; ** P < 0.005. Urine SDC4 was normalized to creatinine (control, 3.343 ± 0.9410, n = 4 mice; diabetes, 39.32 ± 13.03, n = 4 mice; * P < 0.05; Mann-Whitney test at week 8 post-STZ). Each dot or square on the graph represents a mouse. Data are expressed as the mean ± SEM, and unpaired Student t test was used for statistical analysis unless specified.](https://pub-med-central-images-cdn.bioz.com/pub_med_central_ids_ending_with_4681/pmc07184681/pmc07184681__gr3.jpg)