klk5 (MedChemExpress)
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Klk5, supplied by MedChemExpress, 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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Average 94 stars, based on 1 article reviews
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1) Product Images from "Characterization of KLK5 -high epithelial cells and their interactions with the tumor microenvironment in high-grade serous ovarian cancer"
Article Title: Characterization of KLK5 -high epithelial cells and their interactions with the tumor microenvironment in high-grade serous ovarian cancer
Journal: Cancer Cell International
doi: 10.1186/s12935-026-04273-8
Figure Legend Snippet: Elevated KLK5 expression correlates with poor survival in ovarian cancer. A . Among the up-regulated genes identified across 29 cancer types, 70 genes were specifically overexpressed in ovarian cancer, as determined from the TCGA datasets analyzed using GEPIA2 ( http://gepia2.cancer-pku.cn/#index ). B . KLK5 emerged as the most significantly up-regulated gene (Log 2 FC = 5.759; P-value < 0.001) among the 70 ovarian cancer-specific genes. C . High levels of KLK5 in tumor tissues were significantly associated with reduced disease-free survival. D . KLK5 expression in tumor tissues was notably increased in advanced stages of ovarian cancer (P-value = 0.0455)
Techniques Used: Expressing
Figure Legend Snippet: The effect of KLK5 on migration, invasion, apoptosis, and proliferation of HO8910 cells. A . The significantly enhanced of migration in the HO8910 cell line with the addition of KLK5 (400ng/mL; P < 0.05). B .The significantly enhanced of invasion in the HO8910 cells with the addition of KLK5 (400 ng/mL in upper chamber; P < 0.05). C . No significantly differences of invasion in the HO8910 cell line with the addition of KLK5 in lower chamber. D . The apoptosis of HO8910 cells treated with or without KLK5 (200 and 400 ng/mL). E , F . The proliferation of HO8910 cells treated with or without KLK5. The line plot in Fig. 2E and F show the mean ± SEM
Techniques Used: Migration
Figure Legend Snippet: KLK5 is significantly elevated in epithelial cells of high-grade serous ovarian cancer based on single-cell RNA sequencing. A . Uniform Manifold Approximation and Projection (UMAP) visualization of 151,729 cells from 60 samples in publicly available single-cell RNA sequencing datasets from GEO ( https://www.ncbi.nlm.nih.gov/geo/ ). Cells were clustered into seven major cell types, including B cells (B), endothelial cells (Endo), epithelial cells (Epi), fibroblasts (Fib), myeloid cells (Mye), plasma cells (Plasma), and T cells/NK cells (T_NK), based on cell type-specific markers. B . Dot plot illustrating the expression of known marker genes for each cell type. C . UMAP plot displaying the expression levels of KLK5 across the cell clusters. D . KLK5 expression was significantly elevated in epithelial cells of high-grade serous ovarian cancer (HGSOC) compared to normal controls (Log2FC = 0.502, adjusted P < 0.001). E . Spatial transcriptomics shows the expression of KLK5 in HGSOC. OCS, ovarian carcinosarcoma; OCCC, ovarian clear-cell carcinoma; OEC, ovarian endometrioid carcinoma; HGSOC, high-grade serous ovarian cancer; LGSOC, low-grade serous ovarian cancer
Techniques Used: Single Cell, RNA Sequencing, Clinical Proteomics, Expressing, Marker, Spatial Transcriptomics
Figure Legend Snippet: Cell-cell interaction network between epithelial cells and the other cells. A . Venn diagram illustrating the cell-cell interaction network among different cell types in each subtype of ovarian cancer. B . Specific cell-cell interactions in HGSOC that correspond to up-regulated genes in epithelial cells from HGSOC. C . Corresponding pathway of the specific cell-cell interactions shown in Fig. 4B. D . Expression levels of KLK5 (Log 2 FC = 1.720; adjusted P < 0.001) in KLK5 -high HGSOC, KLK5 -low HGSOC, and normal controls. E. Expression levels of COL1A1 (Log 2 FC = 1.153; adjusted P = 0.0085), COL1A2 (Log 2 FC = 0.728; adjusted P < 0.001), and COL6A2 (Log 2 FC = 0.546; P < 0.001) were significantly elevated in fibroblast cells from the KLK5 -high HGSOC compared to those in KLK5 -low HGSOC or normal controls. *** indicates the P value < 0.001
Techniques Used: Expressing
Figure Legend Snippet: Transcriptomic changes induced by KLK5 overexpression in ovarian cancer cell lines and the positive relationship between AGRN and KLK5 in single cell RNA datasets of HGSOC. A . Quantitative PCR analysis revealed a significant difference in KLK5 gene expression between the KLK5 -overexpressing SKOV3 cell line (KLK5_OE) and the empty vector control group (Control) ( P < 0.05). B . Transcriptome sequencing analysis identified genes with significant differential expression between KLK5 -overexpressing SKOV3 cells and the empty vector control, where differences with |logFC| > 0.585 and P < 0.05 were considered statistically significant. C . Genes significantly upregulated in KLK5 -overexpressing SKOV3 cells were enriched in the type I interferon synthesis and activation pathways, as indicated by GO enrichment analysis. D . Quantitative PCR analysis revealed a significant difference in KLK5 gene expression between the KLK5 -overexpressing HO-8910 cell line (KLK5_OE) and the empty vector control group (Control) ( P < 0.05). E . Transcriptome sequencing analysis identified genes with significant differential expression between KLK5 -overexpressing HO-8910 cells and the empty vector control, where differences with |logFC| > 0.585 and P < 0.05 were considered statistically significant. F . Venn diagram showing differentially expressed genes (DEGs) between KLK5 -high HGSOC and KLK5 -low HGSOC/normal controls in single cell RNA datasets. G . GO pathway enrichment analysis of common DEGs in epithelial cells from KLK5 -high HGSOC compared to KLK5 -low HGSOC and normal controls, respectively. H . DEGs of epithelial cells between the KLK5 -expression group (Counts ≥ 2) and the null KLK5 -expression group (Counts = 0 in HGSOC. I . KEGG (left) and GO (right) pathway enrichment analyses of DEGs of epithelial cells between the KLK5 -expression group (Counts ≥ 2) and the null KLK5 -expression group (Counts = 0 in HGSOC. J . Positive correlation between KLK5 and AGRN , as demonstrated using the GEPIA2 database ( http://gepia2.cancer-pku.cn/ )
Techniques Used: Over Expression, Single Cell, Real-time Polymerase Chain Reaction, Gene Expression, Plasmid Preparation, Control, Sequencing, Quantitative Proteomics, Activation Assay, Expressing
Figure Legend Snippet: Enhanced tumor-associated macrophages in KLK5-high HGSOC. A. Immune cell infiltration profiles of TCGA-KLK5 High , TCGA-KLK5 Low and normal controls, analyzed using the ssGSEA algorithm. B . Subtypes and their proportions of monocytes and macrophages. C . Unsupervised trajectory analysis illustrating state transitions between monocytes and macrophages. The branched trajectory is color-coded by cell states and cell subtypes. D . GO terms enriched from up-regulated genes in macrophage subtypes. E . Differentially expressed genes (DEGs) in THP-1-derived macrophages after co-culture with KLK5-overexpressing (versus empty vector control) HO-8910 cells. (|log₂FC| > 0.585 and P < 0.05). F . Differentially expressed genes (DEGs) in THP-1-derived macrophages after co-culture with KLK5-overexpressing (versus empty vector control) SKOV3 cells. (|log₂FC| > 0.585 and P < 0.05)
Techniques Used: Derivative Assay, Co-Culture Assay, Plasmid Preparation, Control
Figure Legend Snippet: Immune cell-cell interactions in KLK5 -high HGSOC. A . Uniform Manifold Approximation and Projection (UMAP) plot of T and NK cells, color-coded by cell subtypes. B . Relative proportions of T and NK cell subsets in each group. C . GO terms enriched from up-regulated genes in T_CD8_Cytotoxic cells. D . GO terms enriched from up-regulated genes in NK_XCL1 cells. E . Unique Cell-cell interactions between myeloid cells (Mye) and T-NK cells in KLK5 -high HGSOC
Techniques Used:


