The GHDC antibody detects the GH3 domain-containing protein (UniProt: Q8N2G8 in humans, Q99J23 in mice), encoded by the GHDC gene (Entrez ID: 84514). This protein is highly expressed in mammary tissues and tumors, with potential roles in cancer biology . Antibodies against GHDC are primarily polyclonal, rabbit-derived, and validated for techniques including Western blot (WB), immunohistochemistry (IHC), and immunofluorescence (IF) .
| Application | Dilution Range |
|---|---|
| Western Blot (WB) | 1:500–1:1000 |
| Immunohistochemistry | 1:20–1:200 |
| Immunofluorescence | 1:20–1:200 |
Optimal dilutions may vary by experimental setup; antigen retrieval with TE buffer (pH 9.0) is recommended for IHC .
GHDC is overexpressed in mammary tumors, suggesting a role in oncogenesis .
Antibodies like 26123-1-AP (Proteintech) and PA5-34464 (Thermo Fisher) enable studies on GHDC’s interaction with STAT3/5 signaling pathways .
Cancer Research: GHDC’s overexpression in tumors positions it as a biomarker candidate. Inhibitory antibodies (e.g., 1-46-3 in GH-targeting studies) demonstrate reduced cancer cell viability in vitro , though direct GHDC-targeted therapies remain under exploration.
Drug Delivery: GHDC-modified liposomes enhance tumor-targeted gene delivery in vivo , showcasing broader biotechnological utility.
GHDC (GH3 domain-containing protein) is a protein that belongs to the GH3 family. According to current research, GHDC is:
Highly expressed in normal mammary tissues and mammary tumors
Primarily located in the nuclear envelope
In mouse, its gene is located on chromosome 11 adjacent to the STAT3/5 locus
The biological function of GHDC remains largely unknown, making it an interesting target for exploratory research. Its high expression in mammary tissues suggests potential roles in breast tissue biology or pathology, but definitive functional characterization is still limited in the current literature.
GHDC antibodies have been validated for multiple research applications with specific recommendations:
When designing experiments, researchers should optimize antibody concentrations for their specific sample types and detection systems.
Validating antibody specificity is critical for reliable research results. For GHDC antibodies, researchers should:
Perform Western blot analysis on known GHDC-expressing tissues (e.g., breast tissue) and observe a band at the expected molecular weight (~68 kDa observed; 57.5 kDa calculated)
Include positive controls (e.g., 293 cell lysate, which has been validated)
Consider knockdown/knockout validation where GHDC expression is reduced through siRNA or CRISPR
Test multiple antibody dilutions to optimize signal-to-noise ratio
Verify staining pattern consistency with known subcellular localization (nuclear envelope)
Cross-reactivity should be assessed against multiple isoforms, as multiple GHDC isoforms are known to exist .
Based on validated methodologies, the following protocol is recommended for Western blot analysis:
Sample preparation:
Electrophoresis and transfer:
Use standard SDS-PAGE conditions (10-12% gel recommended)
Transfer to PVDF or nitrocellulose membrane
Antibody incubation:
Detection:
Controls:
Positive control: 293 cell lysate
Loading control: Housekeeping protein (β-actin, GAPDH)
For effective immunohistochemistry with GHDC antibodies:
Tissue preparation:
Fix tissues in 10% neutral buffered formalin
Embed in paraffin and section at 4-5 μm thickness
Perform heat-induced epitope retrieval (HIER) using citrate buffer (pH 6.0)
Staining protocol:
Controls and validation:
Include known positive tissue (breast tissue)
Include negative control (omit primary antibody)
Use multiple tissue types for cross-validation (e.g., tissue microarray)
Analysis recommendations:
Score staining intensity (0-3+)
Assess percentage of positive cells
Evaluate subcellular localization pattern (nuclear envelope staining expected)
Since GHDC is highly expressed in mammary tissues, several approaches can be used:
Expression analysis across developmental stages:
Compare GHDC expression in normal breast tissue at different developmental stages
Use immunohistochemistry and Western blot to quantify expression levels
Correlate with hormonal status and developmental markers
Comparative analysis in normal vs. tumor tissues:
Create tissue microarrays with normal breast tissue and various breast cancer subtypes
Quantify GHDC expression using validated antibodies
Correlate expression with tumor grade, molecular subtype, and clinical outcomes
Co-localization studies:
Perform dual immunofluorescence with GHDC antibody and nuclear envelope markers
Use confocal microscopy to confirm subcellular localization
Investigate potential protein-protein interactions through co-immunoprecipitation
Functional studies:
Manipulate GHDC expression through knockdown/overexpression
Assess effects on cell proliferation, migration, and differentiation
Investigate potential interactions with STAT3/5 pathway given chromosomal proximity in mouse models
Multiplexed imaging can provide insights into GHDC's relationship with other proteins:
Antibody selection for multiplexing:
Choose GHDC antibodies raised in rabbit or mouse to allow compatibility with other antibodies
Validate antibody performance in multiplexed conditions
Ensure minimal cross-reactivity between detection systems
Imaging protocols:
Analysis considerations:
Employ image analysis software to quantify co-localization
Use appropriate statistical methods to assess spatial relationships
Consider machine learning approaches for pattern recognition in complex datasets
Researchers may encounter discrepancies when using different GHDC antibodies:
Sources of variability:
Resolution strategies:
Compare immunogen sequences between antibodies to understand epitope differences
Validate results with multiple antibodies targeting different GHDC epitopes
Correlate protein detection with mRNA expression (e.g., using RT-PCR or RNA-seq)
Use genetic approaches (siRNA, CRISPR) to confirm specificity
Reporting recommendations:
Clearly specify which GHDC antibody was used (catalog number, lot)
Report all experimental conditions in detail
Acknowledge limitations and potential confounding factors
For successful immunoprecipitation (IP) of GHDC:
Buffer optimization:
Test multiple lysis buffers to preserve protein-protein interactions
For nuclear envelope proteins like GHDC, include nuclear extraction steps
Add protease and phosphatase inhibitors to prevent degradation
IP protocol recommendations:
Pre-clear lysates to reduce non-specific binding
Use 1-5 μg antibody per 500 μg total protein
Consider crosslinking antibody to beads to prevent antibody contamination
Include appropriate negative controls (isotype control antibody, beads alone)
Validation strategies:
Confirm IP efficiency by Western blot of input, flow-through, and IP fractions
Validate co-IP results by reciprocal IP when possible
Consider mass spectrometry to identify novel interaction partners
For reliable quantification of GHDC expression:
Western blot quantification:
Use digital imaging systems with a linear dynamic range
Normalize GHDC signal to loading controls
Include a standard curve of recombinant protein when absolute quantification is needed
Use technical and biological replicates (minimum n=3)
Immunohistochemistry quantification:
Employ digital pathology methods for objective scoring
Consider H-score method (intensity × percentage positive cells)
Use automated image analysis software for consistent scoring
Validate scoring with multiple independent observers
Statistical considerations:
Apply appropriate statistical tests based on data distribution
Consider non-parametric methods for ordinal data (IHC scoring)
Account for multiple testing when analyzing large datasets
Report effect sizes alongside p-values
| Issue | Possible Causes | Troubleshooting Approaches |
|---|---|---|
| No signal in Western blot | Low expression, degradation, inefficient transfer | Increase antibody concentration, check protein extraction method, optimize transfer conditions |
| Multiple bands | Isoforms, degradation, non-specific binding | Verify with different antibodies, use freshly prepared samples, increase washing steps |
| High background | Insufficient blocking, too high antibody concentration | Optimize blocking conditions, titrate antibody, increase washing time/stringency |
| Inconsistent staining | Fixation issues, antigen masking | Standardize fixation protocols, optimize antigen retrieval |
| Unexpected localization | Antibody specificity issues, fixation artifacts | Validate with different techniques (IF vs. IHC), confirm with mRNA localization |
For comprehensive biological insights:
Multi-omics integration approaches:
Correlate GHDC protein expression with transcriptomic data
Analyze GHDC in the context of interacting proteins and pathways
Use publicly available datasets to examine GHDC expression across tissues/conditions
Analytical methods:
Apply dimensionality reduction techniques (PCA, t-SNE) for visualization
Use correlation analysis to identify co-expressed genes/proteins
Consider pathway enrichment analysis to understand functional context
Apply machine learning for pattern recognition in complex datasets
Validation strategies:
Confirm key findings with orthogonal methods
Test hypotheses generated from integrated analysis with targeted experiments
Consider temporal dynamics by analyzing expression at multiple time points
Several cutting-edge approaches could advance GHDC research:
Single-cell protein analysis:
Apply mass cytometry (CyTOF) for high-dimensional protein profiling
Use single-cell Western blotting for heterogeneity assessment
Explore spatial proteomics to map GHDC in intact tissues
Advanced imaging techniques:
Super-resolution microscopy to precisely localize GHDC within nuclear envelope
Live-cell imaging with fluorescently tagged GHDC to monitor dynamics
Proximity labeling (BioID, APEX) to identify proteins in close proximity to GHDC
Protein-protein interaction analysis:
Apply structural biology approaches to understand GHDC's GH3 domain function
Use protein microarrays to identify interaction partners
Consider hydrogen-deuterium exchange mass spectrometry for conformational studies
The potential role of GHDC in mammary biology suggests several research applications:
Biomarker development considerations:
Evaluate GHDC expression across breast cancer molecular subtypes
Assess correlation with treatment response and clinical outcomes
Investigate potential as a diagnostic or prognostic marker
Methodological approaches:
Apply machine learning to identify patterns in GHDC expression
Use longitudinal sampling to assess GHDC as a dynamic biomarker
Consider liquid biopsy approaches for detecting GHDC in circulation
Validation requirements:
Establish standardized assays for reproducible GHDC detection
Validate findings across multiple cohorts
Compare performance against established biomarkers
By addressing these questions with rigorous methodology, researchers can advance our understanding of GHDC biology and potential applications in biomedical research.