Panoply™ Human HGF Knockdown Stable Cell Line

Name: Panoply™ Human HGF Knockdown Stable Cell Line
SKU: CSC-DC006967
Availability: InStock

For research use only. Not intended for any clinical use.

Cat. No. : CSC-DC006967

Host Cell : HEK293 (Hela and other cell types are also available) Validation : Real-Time RCR

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Cell Line Information

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Gene Information

Cat. No.	CSC-DC006967
Description	Creative Biogene's Knockdown Cell Lines are target specific shRNA lentivirus transduced cells. The percent knockdown levels range from 75-99% depending on the gene, as evaluated by Real-Time RCR. Cells are rigorously qualified and mycoplasma free.
Target Gene	HGF
Host Cell	HEK293 (Hela and other cell types are also available)
Host Cell Species	Homo sapiens (Human)
Applications	(1) Studying gene functions (2) Studying gene interactions and signaling pathways (3) Target validation and drug discovery (4) Designing diseases models
Size	>1 × 10⁶ cells / vial
Stability	Validated for at least 10 passages
Validation	Real-Time RCR
Quality Control	Negative for bacteria, yeast, fungi and mycoplasma.
Storage	Liquid Nitrogen
Shipping	Dry Ice

Mycoplasma	Negative
Format	One frozen vial containing millions of cells
Storage	Liquid nitrogen
Safety Considerations	The following safety precautions should be observed. 1. Use pipette aids to prevent ingestion and keep aerosols down to a minimum. 2. No eating, drinking or smoking while handling the stable line. 3. Wash hands after handling the stable line and before leaving the lab. 4. Decontaminate work surface with disinfectant or 70% ethanol before and after working with stable cells. 5. All waste should be considered hazardous. 6. Dispose of all liquid waste after each experiment and treat with bleach.
Ship	Dry ice

Gene Name	HGF hepatocyte growth factor (hepapoietin A; scatter factor) [ Homo sapiens ]
Gene Symbol	HGF
Synonyms	SF; HGFB; HPTA; F-TCF; DFNB39
Gene Description	hepatocyte growth factor (hepapoietin A; scatter factor)
GeneID	3082
Uni ProtID	P14210
mRNA Refseq	NM_000601.4
Protein Refseq	NP_000592.3
Chromosome Location	7q21.1
Function	growth factor activity; protein binding; protein heterodimerization activity; NOT serine-type endopeptidase activity;
Pathway	Arf6 signaling events, organism-specific biosystem; Cytokine Signaling in Immune system, organism-specific biosystem; Cytokine-cytokine receptor interaction, organism-specific biosystem; Cytokine-cytokine receptor interaction, conserved biosystem; Direct p53 effectors, organism-specific biosystem; FGF signaling pathway, organism-specific biosystem; Focal Adhesion, organism-specific biosystem;
MIM	142409

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Ovarian cancer (OV) is a common gynecological malignancy. Although transient receptor potential (TRP) channels are closely associated with tumor growth, their specific roles in ovarian cancer remain unclear. Here, researchers constructed a comprehensive TRP-related prognostic model and analyzed its association with cellular infiltration and immune checkpoint expression. Among the 21 identified co-expression modules, the "brown" module showed the strongest positive correlation with the TRP score. Functional enrichment analysis revealed that TRP-related genes were primarily involved in immune system-related pathways. A risk model was constructed using nine selected genes, and patients were stratified into high- and low-risk groups based on their risk scores. The results demonstrated that patients in the low-risk group had significantly longer overall survival (OS) than those in the high-risk group. Analysis of immune characteristics revealed higher levels of cellular infiltration-including activated B cells and activated CD4 T cells-in the low-risk group, whereas the high-risk group exhibited lower expression levels of immune checkpoint genes (such as LAG3, CD274, and CD27). In vitro experiments confirmed that HGF knockdown significantly inhibited the viability, motility, and invasive capability of ovarian cancer cells.

Here, qPCR results demonstrated that the expression levels of HGF, NAAA, STAT5A, TRPM2, and VSIG4 were significantly elevated in SK-OV-3 and A2780 cells compared to IOSE-80 cells, whereas the expression levels of CD40LG, S1PR4, STAT4, and TAP1 were significantly higher in IOSE-80 cells (Figure 1A). Previous studies have indicated that HGF is closely associated with various cellular processes-including migration, angiogenesis, and proliferation-as well as the progression of multiple human malignancies. At the time of initial diagnosis, serum HGF levels in ovarian cancer (OV) patients are significantly higher than in patients with benign diseases or borderline tumors, and elevated HGF levels are predictive of a poor prognosis. To investigate the role of HGF in ovarian cancer progression, researchers generated HGF-knockdown SK-OV-3 and A2780 cell lines (Figure 1B, C). Subsequently, CCK-8 assay results showed that HGF knockdown significantly reduced the viability of A2780 and SK-OV-3 cells (Figure 1D, E). Transwell and wound-healing assays demonstrated that HGF knockdown significantly inhibited the migration and metastasis of A2780 and SK-OV-3 cells (Figure 1F–I).

Figure 1. The biological functions of HGF in OV. (Hu M, et al., 2025)

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