antibody sdc3 (R&D Systems)
Structured Review

Antibody Sdc3, supplied by R&D Systems, used in various techniques. Bioz Stars score: 93/100, based on 8 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/human+syndecan+3/pmc12562340-82-16-18?v=R%26D+Systems
Average 93 stars, based on 8 article reviews
Images
1) Product Images from "The Role of the Cell Surface Heparan Sulfate Proteoglycan Syndecan-3 in Breast Cancer Pathophysiology"
Article Title: The Role of the Cell Surface Heparan Sulfate Proteoglycan Syndecan-3 in Breast Cancer Pathophysiology
Journal: Cells
doi: 10.3390/cells14201612
Figure Legend Snippet: ( A ) Pan-cancer analysis of SDC3 expression across human malignancies. RNA-sequencing data from The Cancer Genome Atlas (TCGA) reveals median SDC3 expression levels across 31 cancer types, normalized as fragments per kilobase of exon per million mapped reads (FPKM). ( B ) SDC3 expression in breast cancer histological subtypes. Immunohistochemical staining of SDC3 in human breast tumor specimens presents as membranous and cytoplasmic staining that is primarily found in tumor cells, and less pronounced in the stroma. Scale bars are available at the original TCGA website.
Techniques Used: Expressing, RNA Sequencing, Immunohistochemical staining, Staining
Figure Legend Snippet: SDC3 is highly expressed in tumors and its expression correlates with better survival. ( A ) SDC3 expression varies across breast cancer progression stages. Gene chip analysis reveals significantly increased SDC3 mRNA levels in primary tumors and metastatic lesions, compared to normal breast tissue. ( B ) SDC3 expression is associated with the relapse-free survival ( RFS ) of breast cancer patients. Kaplan–Meier relapse-free survival curves are plotted based on the following: all breast cancer patients ( n = 4929), HER2 negative status ( n = 4047), St. Gallen luminal A status ( n = 2277), Grade 2 ( n = 1177), and neoadjuvant chemotherapy ( n = 402). Log-rank p values and hazard ratios (HRs; 95% confidence interval in parentheses) are shown.
Techniques Used: Expressing
Figure Legend Snippet: SDC3 is expressed differentially in several breast cancer cell lines and alters their metabolic activity and cell cycle. ( A ) Relative gene expression of SDC3 was quantified by qRT-PCR in 10 different breast cancer cell lines, representative of the luminal A (MCF-7), luminal B (BT474), HER2-positive (SKBR3, MDA-MB 453), triple-negative A (MDA-MB 468, HCC1806, BT20), and triple-negative B (MDA-MB-231, BT549, SUM149) subtype. Individual experiments were normalized against β-Actin and the relative expression was represented by 2-ΔCt. ( B ) SDC3 is downregulated in MDA-MB-231, and MCF-7 cells following SDC3 siRNA- and siPool-transfection. SDC3 knockdown was confirmed by qRT-PCR. ( C – E ) The downregulation of SDC3 was further assessed by Western blot ( C ), flow cytometry ( D ), and immunostaining for SDC3 (green fluorescence), vinculin (red), and nuclear staining with DAPI (blue) ( E ). The analysis revealed a reduced expression of SDC3 in KD cells ( D ), as well as its constitutive cellular localization. In control cells, SDC3 was predominantly localized in the cytoplasm, nucleus, and in focal adhesion-like structures. In contrast, KD cells exhibited a loss of focal adhesion-like and cytoplasmic staining of SDC3 ( E ). Inserts highlight magnified regions of individual cells, indicating SDC3 expression and vinculin in structures resembling focal adhesions of control cells and the absence of these structures in KD cells. p ≤ 0.01 was described as very significant (**), and p ≤ 0.001 as highly significant (***). The graphs depict mean values, with error bars indicating the standard error of the mean (SEM). Three independent experimental replicates were included ( n = 3); original magnification 400×.
Techniques Used: Activity Assay, Gene Expression, Quantitative RT-PCR, Expressing, Transfection, Knockdown, Western Blot, Flow Cytometry, Immunostaining, Fluorescence, Staining, Control
Figure Legend Snippet: SDC3 alters the metabolic activity and cell cycle of breast cancer cells. ( A ) SDC3 depletion affects the metabolic activity of MDA-MB-231 and MCF7 breast cancer cells. Breast cancer cells were subjected to the metabolic MTT assay following transfections with the siRNA and siPool. ( B ) SDC3-knockdown promotes cell cycle progression in MDA-MB-231 cells. Cell cycle phase composition was measured employing DAPI staining and flow cytometry after SDC3 depletion. p ≤ 0.05 was considered statistically significant (*), while p ≤ 0.01 was described as very significant (**). The graphs depict mean values, with error bars indicating the standard error of the mean (SEM). Three independent experimental replicates were included ( n = 3).
Techniques Used: Activity Assay, MTT Assay, Transfection, Knockdown, Staining, Flow Cytometry
Figure Legend Snippet: SDC3 depletion affects the growth of 3D spheroids in MDA-MB 231 and MCF-7 cells. Representative pictures of the hanging drop cultures are presented in the left panels and quantitative analysis in the right panels. Spheroid area was quantified using NIH Image J software and expressed as arbitrary units (AU). ( A ) MDA-MB-231 cells were transfected with the negative control, SDC3 siRNA, and SDC3 siPool, and subjected to the hanging drop assay. ( B ) MCF7 cells were transfected with the negative control, SDC3 siRNA, and SDC3 siPool, and subjected to the hanging drop assay. p ≤ 0.05 was considered statistically significant (*), and p ≤ 0.001 as highly significant (***). The graphs depict mean values, with error bars indicating the standard error of the mean (SEM). Three independent experimental replicates were included ( n = 3).
Techniques Used: Software, Transfection, Negative Control
Figure Legend Snippet: ( A ) The migration of MDA-MB-231 cells was significantly decreased in transwell migration assays (10× magnification) and the ( B ) wound area was significantly increased in ibidi chamberwound closure assays following SDC3 knockdown, in comparison to the negative control. MCF-7 cells displayed little changes in migratory behavior or in wound area upon SDC3 depletion. Red line indicates maximum wound closure. 10× magnification.( C , D ) SDC3 regulates the expression of different potential effector genes. SDC3 depletion was achieved by siRNA- and siPool-mediated knockdown of SDC3 in MDA-MB-231 ( C ), and MCF-7 ( D ) cells. The expression of target genes associated with notch-signaling ( HES1 ), hedgehog-signaling ( Gli2 ), epithelial-to-mesenchymal-transition signaling ( Twist , CDH1 ), matrix-metalloproteinase signaling ( MMP1 , MMP2 , MMP9 ), and vascular endothelial growth factor signaling ( VEGF-A ) was visibly altered ( E ) The effect of SDC3 depletion on the potential activation of Src proto-oncogene tyrosine-protein kinase (pSRC), as well as expression of its total form ( SRC ) was examined using Western blot analysis. Upper panels = representative Western blots. Lower panels = densitometric quantification of three independent experiments. p ≤ 0.05 was considered statistically significant (*), while p ≤ 0.01 was described as very significant (**). The graphs depict mean values, with error bars indicating the standard error of the mean (SEM). Three independent experimental replicates were included ( n = 3).
Techniques Used: Migration, Knockdown, Comparison, Negative Control, Expressing, Activation Assay, Western Blot
Figure Legend Snippet: Functional analysis of SDC3 using STRING database. ( A ) STRING database output revealed direct connections between SDC3, SRC , FGF2 , and MMP7. Further indirect associations were established between SDC3 and FLT1 , KDR , VEGFB , VEGFC , CDH1 , MMP1 , MMP2 , MMP9 , and MMP14 , as well TIMP2 and TIMP4 . ( B ) In the gene ontology (GO) analysis, the 10 most significantly ( p < 0.05) enriched GO terms were included in the biological process (blue), molecular function (green), and cellular component (orange) categories. X-axis: −log10 (false discovery value) ( C ) KEGG-pathway analysis depicts several interconnections between SDC3 and relevant signaling pathways in cancer.
Techniques Used: Functional Assay, Protein-Protein interactions

