SET4 Antibody

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Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
SET4 antibody; YJL105W antibody; J0819 antibody; SET domain-containing protein 4 antibody
Target Names
SET4
Uniprot No.

Target Background

Function
Putative chromatin regulator.
Database Links

KEGG: sce:YJL105W

STRING: 4932.YJL105W

Protein Families
SET3 family

Q&A

What is SETD4 and why is it important in cancer research?

SETD4 is a histone methyltransferase that regulates cell proliferation, differentiation, and inflammatory responses across various cell lines by facilitating H4K20me3 catalysis. It plays a crucial role in maintaining cancer stem cell quiescence and contributes to drug resistance in multiple cancer types, making it a promising target for cancer therapy . Methodologically, researchers can confirm SETD4's biological significance through knockdown experiments, which have demonstrated increased sensitivity to therapeutics like sorafenib in hepatocellular carcinoma cell lines.

How is SETD4 expression distributed across different cancer types?

SETD4 expression shows significant variation across cancer types. Analysis of TCGA data reveals upregulation in multiple cancers including bladder urothelial carcinoma (BLCA), lung adenocarcinoma (LUAD), cholangiocarcinoma (CHOL), head and neck squamous cell carcinoma (HNSC), esophageal carcinoma (ESCA), colon adenocarcinoma (COAD), liver hepatocellular carcinoma (LIHC), and stomach adenocarcinoma (STAD). Conversely, SETD4 is downregulated in thyroid carcinoma (THCA) and kidney chromophobe (KICH) .

Table 1: SETD4 Expression Status Across Major Cancer Types

Cancer TypeSETD4 ExpressionCorrelation with Pathological Stage
BLCAUpregulatedNot significant
LUADUpregulatedNot significant
COADUpregulatedNot significant
LIHCUpregulatedIncreases with advanced stages
THCADownregulatedNot significant
KICHDownregulatedNot significant
HNSCUpregulatedSignificant variation across stages
ACCVariableSignificant variation across stages
TGCTVariableSignificant variation across stages

What experimental methods can validate SETD4 expression in clinical specimens?

The research literature demonstrates successful validation of SETD4 expression using quantitative real-time PCR (qRT-PCR) in clinical specimens. In a study of 13 human colorectal cancer cases and corresponding normal samples, significant overexpression of SETD4 mRNA was observed in colorectal cancer cells compared to normal tissues . When designing similar validation experiments, researchers should collect matched tumor and adjacent normal tissue samples, extract RNA using standard protocols, and perform qRT-PCR with appropriate housekeeping genes for normalization.

How can researchers assess the relationship between SETD4 and the tumor microenvironment?

To evaluate SETD4's impact on the tumor immune microenvironment, researchers can employ computational algorithms such as EPIC for assessing immune cell infiltration levels. The research shows SETD4 expression negatively correlates with multiple immune cell populations, including B cells (18/32 cancer types), CD4 T cells (15/32), CD8 T cells (10/32), and macrophages (29/32) . Methodologically, researchers should:

  • Perform immunohistochemistry with SETD4 antibodies on tumor sections

  • Use multiplex immunofluorescence to co-stain for immune cell markers

  • Analyze correlations between SETD4 expression and immune cell infiltration

  • Validate findings with flow cytometry on fresh tumor samples

What techniques are recommended for studying SETD4's role in cancer stem cell maintenance?

SETD4 has been identified as a critical regulator of cancer stem cell (CSC) quiescence. Researchers investigating this relationship should employ:

  • Sphere formation assays to assess stemness properties in cells with varying SETD4 expression

  • FACS analysis with CSC markers (CD44, CD133, etc.) after SETD4 modulation

  • Chromatin immunoprecipitation (ChIP) with SETD4 antibodies to identify target genes

  • Cell cycle analysis to assess the proportion of cells in G0 phase when SETD4 is manipulated

The methodological approach should include both gain-of-function and loss-of-function experiments to thoroughly characterize SETD4's role in stemness maintenance.

How should researchers design experiments to investigate SETD4's role in drug resistance?

Based on research findings that downregulation of SETD4 may lead to greater sensitivity to sorafenib in HCC cell lines , researchers should design experiments that:

  • Use siRNA or CRISPR-Cas9 systems to knock down SETD4 in cancer cell lines

  • Perform drug sensitivity assays across a concentration gradient

  • Combine SETD4 antibodies with flow cytometry to monitor expression changes during drug treatment

  • Assess cell death mechanisms (apoptosis vs. necrosis) in SETD4-high versus SETD4-low populations

These methodological approaches provide mechanistic insights into how SETD4 contributes to therapeutic resistance.

How can SETD4 antibodies be utilized to understand epigenetic regulation in cancer?

SETD4 functions as a histone methyltransferase that facilitates H4K20me3 catalysis. Advanced research using SETD4 antibodies should include:

  • ChIP-seq experiments to map genome-wide binding patterns of SETD4

  • Sequential ChIP (ChIP-reChIP) to identify co-regulatory interactions with other epigenetic modifiers

  • ATAC-seq in conjunction with SETD4 manipulation to assess chromatin accessibility changes

  • Mass spectrometry following SETD4 immunoprecipitation to identify protein interaction networks

These approaches provide comprehensive understanding of SETD4's epigenetic functions beyond simple expression analysis.

What are the interactions between SETD4 and cancer-related pathways?

Gene set enrichment analysis (GSEA) has revealed that SETD4 influences several key cell cycle pathways, including the G2M checkpoint and mitotic spindle pathways . Advanced researchers should:

  • Perform co-expression analysis between SETD4 and pathway components

  • Use SETD4 antibodies for co-immunoprecipitation to identify direct interactions

  • Assess pathway activation via phosphoprotein analysis after SETD4 modulation

  • Conduct rescue experiments to determine functional relationships

Understanding these pathway interactions helps contextualize SETD4's role in cancer progression mechanisms.

How can researchers investigate SETD4's potential as an immunotherapy biomarker?

Analysis of immunotherapy cohorts has shown that SETD4 expression was significantly lower in responsive patients in a melanoma dataset receiving anti-CTLA4 and anti-PD1 therapy . Advanced research approaches should:

  • Stratify patient cohorts based on SETD4 expression levels before immunotherapy

  • Perform multiplex IHC to co-localize SETD4 with immune checkpoint molecules

  • Assess changes in SETD4 expression during treatment using sequential biopsies

  • Correlate SETD4 levels with established biomarkers (TMB, MSI, neoantigen load)

These methodologies help establish SETD4's utility as a predictive biomarker for immunotherapy response.

How can researchers address variability in SETD4 antibody performance across different applications?

When encountering variability in SETD4 antibody performance, researchers should:

  • Validate antibody specificity using positive and negative controls (SETD4 knockout/knockdown samples)

  • Optimize fixation protocols for immunohistochemistry (comparing cross-linking fixatives)

  • Test multiple antibody clones targeting different epitopes of SETD4

  • Consider the impact of post-translational modifications on antibody recognition

Different applications (WB, IHC, IF, ChIP) may require specific antibody validation strategies.

What controls are essential when studying correlations between SETD4 and clinical outcomes?

When investigating SETD4's relationship with patient prognosis, researchers should:

  • Include matched normal-tumor tissue pairs whenever possible

  • Stratify patients by known prognostic factors to avoid confounding variables

  • Perform multivariate analysis to determine if SETD4 is an independent prognostic factor

  • Validate findings across multiple independent cohorts

How should researchers interpret seemingly contradictory data on SETD4 function across different cancer types?

The research indicates that SETD4's correlations with immune cells, tumor stemness indices, and drug sensitivity vary across cancer types . When facing contradictory data, researchers should:

  • Analyze cancer-specific contexts, including genomic and microenvironmental factors

  • Perform subtype-specific analyses within each cancer type

  • Consider heterogeneity within tumors using single-cell approaches with SETD4 antibodies

  • Design functional studies to test context-dependent hypotheses

These approaches help resolve apparent contradictions by revealing the context-specific nature of SETD4's functions.

What emerging technologies might enhance SETD4 antibody applications in spatial biology?

As spatial biology techniques advance, researchers can consider:

  • Integrating SETD4 antibodies into multiplex spatial transcriptomics workflows

  • Using imaging mass cytometry with SETD4 antibodies to map expression in the tumor microenvironment

  • Developing proximity ligation assays to study SETD4 interactions in situ

  • Combining SETD4 detection with live-cell imaging to study dynamic processes

These emerging approaches will provide deeper insights into SETD4's spatial context within tumors.

How might SETD4 antibodies contribute to therapeutic development?

Given SETD4's potential as a therapeutic target, researchers can use SETD4 antibodies to:

  • Screen for small molecule inhibitors that disrupt SETD4 activity

  • Develop antibody-drug conjugates targeting SETD4-expressing cells

  • Monitor SETD4 inhibition in preclinical models

  • Assess combinatorial approaches with immunotherapy based on findings that "concurrent administration of anti-SETD4 antibodies along with immune checkpoint inhibitors could be a promising anticancer therapeutic approach"

These applications bridge basic research with translational potential.

What is the current evidence for SETD4 as a biomarker in clinical trials?

While direct clinical trial evidence is limited, the research suggests SETD4 holds promise as a biomarker:

  • SETD4 correlates with immunotherapy markers such as TMB and MSI across multiple cancer types

  • Expression patterns show significant associations with patient survival outcomes

  • SETD4 levels correlate with drug resistance phenotypes in various cancer models

Researchers designing biomarker-focused clinical trials should consider incorporating SETD4 assessment into their protocols, especially for cancers showing strong prognostic associations.

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