GTF3C6 Antibody is a polyclonal or monoclonal reagent designed to target the General Transcription Factor IIIC, Polypeptide 6 (GTF3C6) protein. This antibody is critical for studying RNA polymerase III (RNAP III)-mediated transcription, particularly in the context of tRNA and virus-associated RNA promoter binding. GTF3C6 is a core component of the TFIIIC2 subcomplex, which interacts with the TFIIIB complex to initiate transcription .
Atlas Antibodies’ HPA061345 is validated for chromatin immunoprecipitation (ChIP), enabling studies of DNA-protein interactions in transcriptional regulation .
GTF3C6 interacts with TFIIIB to recruit RNAP III to tRNA and viral RNA promoters. Antibodies targeting this protein are pivotal for studying transcriptional regulation in:
Oncogenesis: Associations between GTF3C6 and TFIIIB pathways highlight its relevance in cancer biology .
Viral Infection: Involvement in virus-associated RNA transcription suggests roles in viral replication .
Immunofluorescence data from the Human Protein Atlas confirm nuclear localization, aligning with its role in transcriptional machinery .
Antigen Retrieval: For IHC, use TE buffer (pH 9.0) or citrate buffer (pH 6.0) to enhance signal .
Cross-Reactivity: Validate species-specific reactivity, as some antibodies show human/mouse cross-reactivity .
Conjugate Choice: FITC-conjugated antibodies enable flow cytometry and ICC-IF, while HRP variants suit ELISA .
Emerging studies may explore GTF3C6’s role in RNA polymerase III dysregulation, particularly in cancer and viral pathogenesis. Next-generation antibodies with engineered Fc regions (e.g., afucosylated IgG1) could enhance therapeutic applications .
GTF3C6 (General Transcription Factor IIIC, Polypeptide 6, alpha 35kDa) is a component of the transcription factor IIIC complex. This protein is involved in RNA polymerase III-mediated transcription, which is responsible for synthesizing small RNAs like tRNAs and 5S rRNA. GTF3C6 is also known by alternative names including C6orf51, TFIIIC35, and bA397G5.3 . The protein has an observed molecular weight of approximately 35-38 kDa . In terms of structure, GTF3C6 contains sequences that enable it to interact with DNA and other proteins within the transcription complex. Understanding its function is essential for research into basic transcriptional mechanisms and potentially for investigating certain disease states where RNA polymerase III function may be dysregulated.
GTF3C6 antibodies have been validated for multiple laboratory applications. According to validation data, these antibodies can be reliably used in:
Western Blot (WB) - Validated at dilutions ranging from 1:500 to 1:6000
Immunohistochemistry (IHC) - Validated at dilutions of 1:500-1:2000
Immunoprecipitation (IP) - Using 0.5-4.0 μg of antibody for 1.0-3.0 mg of total protein lysate
ELISA - Various dilutions depending on the specific antibody formulation
Some antibodies are also available in conjugated forms, including biotin-conjugated and FITC-conjugated versions, which expand their utility for fluorescence-based detection methods .
Current GTF3C6 antibodies have been tested and confirmed to react with:
Mouse samples - Some antibodies, such as Proteintech's 26382-1-AP, show cross-reactivity with mouse tissues
It's important to note that species reactivity varies between manufacturers and individual antibody products. Researchers should verify the specific reactivity profile before selecting an antibody for their target species .
For optimal Western blot results with GTF3C6 antibodies, follow these methodological steps:
Prepare cell or tissue lysates using a complete protease inhibitor cocktail
Determine protein concentration and load 20-40 μg of total protein per lane
Separate proteins using SDS-PAGE (10-12% gel recommended based on the 35-38 kDa molecular weight of GTF3C6)
Transfer proteins to PVDF or nitrocellulose membrane
Block with 5% non-fat milk or BSA in TBST for 1-2 hours at room temperature
Incubate with primary GTF3C6 antibody at the appropriate dilution (1:1000-1:6000 recommended for WB)
Wash membrane 3-5 times with TBST
Incubate with HRP-conjugated secondary antibody
Develop using enhanced chemiluminescence detection
The antibody has been successfully tested on various cell lines including HeLa, HepG2, and K-562 cells .
To maintain antibody activity and extend shelf life, GTF3C6 antibodies should be stored according to the following guidelines:
For antibodies in liquid formulation with preservatives (typically PBS with 0.02% sodium azide and 50% glycerol, pH 7.3), aliquoting is not necessary for -20°C storage
Avoid repeated freeze-thaw cycles, which can lead to denaturation and decreased activity
For working solutions, store at 4°C for up to one month
Some formulations (particularly the smaller 20μL sizes) may contain 0.1% BSA as a stabilizer
The antibodies are generally stable for one year after shipment when stored properly .
Optimizing GTF3C6 antibody for immunoprecipitation requires careful consideration of several experimental variables:
Antibody amount: Use 0.5-4.0 μg of GTF3C6 antibody per 1.0-3.0 mg of total protein lysate . Begin with the middle of this range and adjust based on results.
Lysis buffer selection: Use a buffer that preserves protein-protein interactions while efficiently lysing cells. RIPA buffer may be too harsh; consider NP-40 or Triton X-100 based buffers with protease inhibitors.
Pre-clearing step: To reduce non-specific binding, pre-clear lysates with control IgG and Protein A/G beads for 1 hour at 4°C before adding the GTF3C6 antibody.
Incubation conditions: For efficient antigen capture, incubate the antibody-lysate mixture overnight at 4°C with gentle rotation.
Wash optimization: Perform 4-5 washes with decreasing salt concentrations to remove non-specific interactions while preserving specific binding.
Elution method: Elute the immunoprecipitated complex with either low pH glycine buffer or by boiling in SDS sample buffer, depending on downstream applications.
Controls: Always include a negative control (normal rabbit IgG) and, if possible, a positive control (lysate from cells known to express high levels of GTF3C6, such as HepG2 cells) .
The protocol can be validated by Western blot analysis of the immunoprecipitated material using another GTF3C6 antibody that recognizes a different epitope.
Achieving optimal staining with GTF3C6 antibody in immunohistochemistry requires proper antigen retrieval. Based on validation data:
Recommended method: Heat-induced epitope retrieval (HIER) using TE buffer at pH 9.0 is suggested as the primary approach .
Alternative method: Citrate buffer at pH 6.0 can be used as an alternative if the primary method yields unsatisfactory results .
Protocol details:
For HIER with TE buffer (pH 9.0): Heat sections in buffer for 15-20 minutes at 95-100°C
For citrate buffer (pH 6.0): Heat sections for 10-15 minutes at 95-100°C
Allow sections to cool slowly to room temperature before proceeding with blocking step
Tissue-specific considerations: Different tissue types may require adjusted retrieval times. For example:
Antibody dilution: Use at 1:500-1:2000 dilution for IHC applications after antigen retrieval
Visualization system: Compatible with both peroxidase/DAB and fluorescent secondary antibody detection systems
Remember that antigen retrieval conditions may need to be optimized for specific tissue types or fixation methods.
Validating antibody specificity is crucial for ensuring reliable results. For GTF3C6 antibodies, consider implementing these validation strategies:
Positive and negative controls:
Molecular weight verification:
Multiple antibodies approach:
Test multiple GTF3C6 antibodies recognizing different epitopes
Compare staining patterns between antibodies from different vendors or clones
Epitope blocking:
Pre-incubate the antibody with the immunogen peptide (if available)
This should eliminate specific signals in a concentration-dependent manner
Orthogonal methods:
Correlate protein detection with mRNA expression data
Confirm localization patterns with tagged overexpression constructs
Immunoprecipitation-mass spectrometry:
Perform IP followed by mass spectrometry to confirm that GTF3C6 is indeed being precipitated
Check for known GTF3C6 interaction partners in the precipitate
Application-specific validation:
For IHC: Compare staining patterns with published GTF3C6 expression data
For IP: Verify enrichment by Western blot using another GTF3C6 antibody
These validation steps should be documented and reported in publications to support the reliability of experimental findings.
GTF3C6 expression exhibits tissue and cell type specificity that researchers should consider when designing experiments:
Cell line expression:
Tissue expression:
Subcellular localization:
As a transcription factor component, GTF3C6 is primarily localized to the nucleus
Some cytoplasmic staining may be observed, particularly in certain cancer cell types
Precise localization patterns should be verified using subcellular fractionation or co-staining with organelle markers
Developmental considerations:
Expression levels may vary during development and cellular differentiation
Consider developmental stage when examining GTF3C6 in embryonic or rapidly dividing tissues
Disease-associated changes:
Expression alterations may occur in certain pathological states
Compare expression between normal and disease-state tissues when investigating pathology-related research questions
Understanding tissue-specific expression patterns is essential for experimental design, particularly when selecting appropriate positive control samples and interpreting results in the context of tissue-specific biology.
When using GTF3C6 antibodies for co-immunoprecipitation to investigate protein-protein interactions, consider these methodological aspects:
Buffer composition:
Use gentler lysis buffers (e.g., 25 mM Tris-HCl pH 7.4, 150 mM NaCl, 1% NP-40, 1 mM EDTA, 5% glycerol)
Avoid harsh detergents like SDS that disrupt protein-protein interactions
Include protease inhibitors, phosphatase inhibitors, and potentially RNase inhibitors (if RNA-mediated interactions are suspected)
Antibody selection:
Cross-linking considerations:
For transient or weak interactions, consider using reversible cross-linkers like DSP (dithiobis(succinimidyl propionate))
Cross-linking can stabilize complexes but may introduce artifacts if not carefully controlled
Nuclear extraction protocols:
Since GTF3C6 is primarily nuclear, optimize nuclear extraction protocols
Consider using specialized nuclear complex isolation buffers that preserve transcription factor complexes
Controls for specificity:
Include isotype control antibody (normal rabbit IgG) IP
Consider using cells with GTF3C6 knockdown as negative controls
Use GTF3C6 overexpression systems as positive controls
Validation of interactions:
Perform reciprocal co-IP (IP with antibody against the interacting protein and blot for GTF3C6)
Verify that interactions occur at endogenous expression levels
Consider secondary confirmation methods like proximity ligation assay
Detection strategies:
For known interactions, use specific antibodies against suspected binding partners
For discovery of novel interactions, consider mass spectrometry analysis of co-immunoprecipitated proteins
When analyzing results, remember that GTF3C6 functions as part of the larger TFIIIC complex in transcription, so co-IP may pull down other components of this complex.
When encountering weak or no signal in Western blots with GTF3C6 antibodies, systematically address these potential issues:
Sample preparation issues:
Ensure complete protein extraction, especially for nuclear proteins like GTF3C6
Verify protein concentration measurement and consider increasing loading amount
Add fresh protease inhibitors to prevent degradation
For difficult tissues, optimize lysis buffer composition
Antibody-specific factors:
Transfer and detection optimization:
Ensure complete protein transfer to membrane (verify with reversible total protein stain)
Try different membrane types (PVDF vs. nitrocellulose)
Increase blocking stringency if background is high
Use more sensitive detection reagents or increase exposure time
Consider enhanced chemiluminescence substrates with higher sensitivity
Protocol modifications:
Adjust separation conditions (run longer for better resolution around 35-38 kDa)
Try different blocking agents (milk vs. BSA)
Extend washing steps to reduce background
Consider using a signal enhancer solution before primary antibody incubation
Expression-related considerations:
Technical verifications:
Strip and reprobe the membrane with a housekeeping protein antibody
Validate the secondary antibody using another primary antibody of the same host species
Perform Ponceau S staining to confirm successful protein transfer
Systematic testing of these variables should help identify the source of weak signals and guide appropriate adjustments to your protocol.
While ChIP is not explicitly listed among the validated applications for current GTF3C6 antibodies in the search results, researchers interested in adapting these antibodies for ChIP should consider:
Antibody suitability assessment:
Cross-linking optimization:
For transcription factors like GTF3C6, optimize formaldehyde cross-linking (typically 0.75-1% for 10-15 minutes)
Consider dual cross-linking approaches (formaldehyde plus protein-protein cross-linkers like DSG)
Test variable cross-linking times to find optimal conditions
Chromatin preparation:
Optimize sonication conditions to generate 200-500 bp fragments
Ensure complete nuclear lysis to release chromatin-bound GTF3C6
Verify sonication efficiency by agarose gel electrophoresis
Antibody amount optimization:
Buffer modifications:
For transcription factors, consider reducing stringency of wash buffers
Include protease inhibitors in all buffers
Consider adding BSA (0.1-0.5%) to reduce non-specific binding
Controls and validation:
Include IgG control and input samples
Validate enrichment at known or predicted GTF3C6 binding sites
Consider using GTF3C6 knockdown cells as negative controls
Use positive controls like RNA Pol III-transcribed genes
Data analysis considerations:
Focus initial analyses on tRNA genes and other RNA Pol III-transcribed loci
Compare GTF3C6 binding with other TFIIIC components
Correlate binding with transcriptional activity of target genes
Remember that GTF3C6, as part of the TFIIIC complex, is expected to bind primarily to promoters of genes transcribed by RNA polymerase III, such as tRNA genes and 5S rRNA genes.
For accurate quantitative comparison of GTF3C6 expression across experimental conditions, consider these methodological approaches:
Western blot quantification:
Use antibody dilutions within the linear detection range (1:1000-1:6000)
Include a concentration gradient of positive control (HepG2 or HeLa lysate)
Normalize to appropriate loading controls (β-actin, GAPDH, or total protein stain)
Use digital image analysis software to quantify band intensity
Perform at least three biological replicates for statistical analysis
Immunohistochemistry quantification:
Use consistent staining protocols across all samples (1:500-1:2000 dilution)
Implement digital pathology approaches for objective scoring
Consider H-score, Allred score, or percent positive cells for semi-quantitative analysis
Use automated image analysis software for more precise quantification
Include control tissues on the same slide to account for staining variability
ELISA-based quantification:
Consider developing sandwich ELISA using two different GTF3C6 antibodies
Generate standard curves using recombinant GTF3C6 protein
Normalize to total protein concentration
Account for matrix effects by preparing standards in the same buffer as samples
Flow cytometry application:
qPCR correlation:
Correlate protein expression with mRNA levels
Design primers specific to GTF3C6 transcript
Consider the relationship between transcript and protein levels may not be linear
Statistical considerations:
Perform appropriate statistical tests based on data distribution
Consider power analysis to determine required sample size
Report effect sizes alongside p-values
Account for multiple comparisons if analyzing many conditions
These approaches provide complementary information and should ideally be used in combination to obtain a comprehensive understanding of GTF3C6 expression changes.
Post-translational modifications (PTMs) can significantly impact antibody recognition. To determine if PTMs affect GTF3C6 antibody binding:
Epitope mapping analysis:
Multiple antibody comparison:
Compare results from antibodies recognizing different epitopes of GTF3C6
Discrepancies in detection may indicate modification-sensitive epitopes
Use antibodies specifically designed to detect modified forms, if available
Treatment with modifying/demodifying enzymes:
Treat lysates with phosphatases to remove phosphorylation
Use deubiquitinating enzymes to remove ubiquitin modifications
Compare antibody detection before and after treatment
Mobility shift analysis:
Immunoprecipitation-mass spectrometry:
Perform IP with GTF3C6 antibody followed by mass spectrometry
Identify PTMs present on the immunoprecipitated protein
Correlate modification state with antibody recognition efficiency
Controlled modification studies:
Treat cells with modifiers of specific PTMs (kinase inhibitors, HDAC inhibitors, etc.)
Monitor changes in antibody detection following treatment
Correlate with functional changes in GTF3C6 activity
Recombinant protein controls:
Compare antibody detection of recombinant unmodified GTF3C6 versus endogenous protein
Use site-directed mutagenesis to create modification-mimicking mutants
Understanding how PTMs affect antibody recognition is crucial for accurate interpretation of results, especially when comparing GTF3C6 across different cellular states where modification status may vary.
Proper experimental controls are essential for accurate interpretation of results when using GTF3C6 antibodies:
Western blot controls:
Immunohistochemistry controls:
Positive tissue control: Human urothelial carcinoma, human lung cancer, or mouse lung tissue
Negative tissue control: Tissues with minimal GTF3C6 expression
Technical negative control: Primary antibody omission
Antibody specificity control: Antigen pre-absorption
Isotype control: Normal rabbit IgG at the same concentration
Immunoprecipitation controls:
Input sample: Pre-IP lysate (typically 5-10%)
Negative control IP: Normal rabbit IgG
Supernatant sample: Post-IP supernatant to assess depletion efficiency
Specificity control: IP from GTF3C6-depleted cells
ELISA controls:
Standard curve: Recombinant GTF3C6 protein at known concentrations
Blank wells: All reagents except primary antibody
Negative sample: From cells with minimal GTF3C6 expression
Dilution linearity: Serial dilutions of positive samples
Flow cytometry controls:
Unstained cells
Isotype control: Rabbit IgG-FITC
Single stain controls: For compensation in multi-color panels
FMO (Fluorescence Minus One) controls
Specialized experimental controls:
Treatment response: Time course and dose response samples
Biological replicates: Multiple independent samples
Technical replicates: Repeated measurements of the same sample
Including these controls allows for proper validation of results and helps troubleshoot any issues that may arise during experimentation.
Designing experiments to study GTF3C6 function requires strategic use of antibodies combined with other molecular biology techniques:
Expression correlation studies:
Use GTF3C6 antibodies in Western blot or IHC to quantify protein levels across:
Different cell types or tissues
Disease versus normal states
Developmental stages
Response to various stimuli
Correlate protein expression with functional outcomes or phenotypic changes
Protein-protein interaction network mapping:
Use GTF3C6 antibodies for co-immunoprecipitation (0.5-4.0 μg antibody per 1.0-3.0 mg lysate)
Identify interaction partners by mass spectrometry
Validate specific interactions with reciprocal co-IP
Map interaction domains using truncated protein constructs
Visualize interactions with proximity ligation assay (PLA)
Transcriptional regulation studies:
Adapt GTF3C6 antibodies for chromatin immunoprecipitation
Map binding sites genome-wide with ChIP-seq
Correlate binding with RNA Pol III transcriptional output
Study the assembly dynamics of TFIIIC complex components
Investigate regulation in response to cellular stressors
Functional perturbation studies:
Use antibodies to monitor GTF3C6 levels following:
siRNA or shRNA knockdown
CRISPR/Cas9 knockout or mutation
Overexpression studies
Correlate protein level changes with functional outcomes
Cellular localization studies:
Use IHC or immunofluorescence to determine subcellular localization
Track localization changes in response to stimuli
Perform fractionation followed by Western blot to confirm microscopy findings
Disease-relevance investigations:
Compare GTF3C6 expression in normal versus disease tissues
Assess correlation with disease progression or prognosis
Investigate expression changes in response to therapeutic interventions
Post-translational modification analysis:
Use antibodies in IP-mass spectrometry workflows
Compare GTF3C6 modification states across conditions
Correlate modifications with functional changes
These experimental approaches, combined with appropriate controls and validation strategies, can provide comprehensive insights into GTF3C6 function and regulation.
When validating and comparing results from different GTF3C6 antibodies, implement these methodological approaches:
Side-by-side comparison:
Test multiple antibodies simultaneously under identical conditions
Use the same samples, concentrations, and detection methods
Compare staining patterns, band positions, and signal intensities
Epitope mapping analysis:
Determine which regions of GTF3C6 each antibody recognizes
Compare antibodies targeting different epitopes (e.g., N-terminal vs. C-terminal)
Consider how epitope location might affect detection in different applications
Application-specific validation:
For Western blot:
Compare band patterns and molecular weights (expect 35-38 kDa)
Test detection limit by serial dilution of lysate
Evaluate specificity using knockout/knockdown controls
For IHC:
Compare staining patterns in the same tissue sections
Evaluate background levels and signal-to-noise ratio
Assess concordance with known expression patterns
Cross-validation with orthogonal methods:
Correlate antibody-based detection with mRNA expression data
Compare results with epitope-tagged GTF3C6 detected via tag antibodies
Validate localization findings with fluorescent protein fusions
Quantitative comparison metrics:
Signal-to-noise ratio calculation
Limit of detection determination
Coefficient of variation across replicates
Dynamic range assessment
Concordance analysis between antibodies (e.g., Pearson correlation)
Documentation and reporting:
Record detailed metadata for each antibody (catalog number, lot, dilution)
Document optimization parameters for each application
Report comparative findings with appropriate statistical analysis
Include representative images showing comparison results
Specialized validation for specific applications:
For IP: Compare pull-down efficiency by quantifying percent of input recovered
For IHC: Use automated scoring systems to objectively compare staining
For multiplex applications: Assess antibody compatibility in combination
This systematic approach provides objective data on antibody performance, enabling informed selection for specific research applications and enhancing result reliability.
Optimizing GTF3C6 antibody staining for fluorescence microscopy requires attention to several methodological details:
Fixation method optimization:
Compare paraformaldehyde (2-4%) versus methanol fixation
Test dual fixation methods if necessary (brief PFA followed by methanol)
Optimize fixation time (typically 10-20 minutes at room temperature)
Permeabilization protocol:
Since GTF3C6 is primarily nuclear, ensure adequate nuclear permeabilization
Test Triton X-100 (0.1-0.5%) versus saponin (0.1-0.3%)
Optimize permeabilization time (typically 5-15 minutes)
Antigen retrieval considerations:
Blocking optimization:
Test different blocking agents (BSA, normal serum, commercial blockers)
Include 0.1-0.3% Triton X-100 in blocking buffer for nuclear proteins
Extend blocking time (1-2 hours) to reduce background
Antibody concentration optimization:
Secondary antibody selection:
Choose bright fluorophores (Alexa Fluor 488, 555, 647)
Select secondary antibodies with minimal cross-reactivity
Consider signal amplification systems for low abundance targets
Counterstaining optimization:
Use DAPI or Hoechst for nuclear counterstaining
Consider additional markers for subcellular structures
Optimize mounting media (antifade properties)
Technical considerations:
Include no-primary-antibody control
Use isotype control at same concentration
Perform single-color controls before attempting multiplexing
Imaging parameters:
Optimize exposure settings to prevent saturation
Use the same acquisition parameters for comparative analyses
Consider deconvolution or super-resolution techniques for detailed localization
Validation of staining pattern:
Compare localization with published data
Confirm nuclear localization with nuclear markers
Verify specificity using knockdown controls
Following these optimization steps will help achieve specific, reproducible staining of GTF3C6 for fluorescence microscopy applications.
When incorporating GTF3C6 antibodies into multicolor flow cytometry panels, consider these methodological aspects:
Antibody format selection:
Panel design considerations:
Assign GTF3C6 to a channel with appropriate sensitivity based on expected expression level
Balance fluorophore brightness with expected antigen density
Minimize spectral overlap with other markers in your panel
Sample preparation optimization:
For nuclear protein detection, use robust fixation (2-4% paraformaldehyde)
Ensure complete permeabilization (0.1-0.5% Triton X-100 or commercially available permeabilization buffers)
Include protein transport inhibitors if measuring alongside cytokines
Staining protocol considerations:
For intracellular staining, perform surface marker staining before fixation/permeabilization
Optimize antibody concentration through titration
Consider longer incubation times for intracellular targets (30-60 minutes)
Include washing steps with saponin-containing buffer to maintain permeabilization
Critical controls:
Unstained cells
Fluorescence minus one (FMO) controls
Isotype controls at matching concentrations
Biological controls (positive and negative cell types)
Compensation controls for each fluorochrome
Instrument setup and quality control:
Perform daily quality control with tracking beads
Set PMT voltages for optimal resolution
Adjust compensation using single-color controls
Consider application-specific instrument settings
Analysis considerations:
Use appropriate gating strategies to identify cell populations
Consider comparing median fluorescence intensity (MFI) rather than percent positive
Use visualization tools (t-SNE, UMAP) for high-dimensional analysis
Account for autofluorescence in certain cell types
Validation approach:
Confirm flow cytometry results with alternate methods
Compare expression patterns with Western blot data
Validate with cells having known GTF3C6 expression levels
Troubleshooting strategies:
For weak signals, try alternative fixation/permeabilization protocols
Consider signal amplification systems for low abundance targets
Test alternative fluorophores if sensitivity is inadequate
These considerations will help ensure successful incorporation of GTF3C6 antibodies into multicolor flow cytometry applications.
When encountering unexpected GTF3C6 staining patterns in immunohistochemistry, consider these interpretation guidelines and troubleshooting approaches:
Pattern variations and their potential meanings:
Cytoplasmic instead of nuclear staining: May indicate protein mislocalization in certain disease states, trafficking issues, or antibody cross-reactivity
Heterogeneous expression within a tissue: Could reflect biological heterogeneity, cell cycle-dependent expression, or microenvironmental influences
Unexpected cell type specificity: May reveal previously unknown expression patterns or non-specific binding
Technical versus biological variability assessment:
Replicate staining with the same antibody lot
Test alternative GTF3C6 antibodies recognizing different epitopes
Compare with validated positive control tissues (human urothelial carcinoma, human lung cancer, mouse lung tissue)
Test multiple samples of the same tissue type to determine pattern consistency
Verification strategies:
Perform antibody validation controls (antigen pre-absorption, isotype controls)
Correlate with mRNA expression by in situ hybridization
Compare with GTF3C6 expression in public databases
Use genetic approaches (RNA interference) to confirm specificity
Confounding factors to consider:
Fixation artifacts: Overfixation or delayed fixation can alter staining patterns
Retrieval efficiency: Different antigen retrieval methods may reveal different epitopes (test both TE buffer pH 9.0 and citrate buffer pH 6.0)
Post-translational modifications: May mask epitopes in certain cellular contexts
Protein-protein interactions: May obstruct antibody accessibility to epitopes
Context-dependent interpretation:
Disease context: Altered localization may represent pathological changes
Developmental context: Expression patterns may differ during development
Treatment effects: Therapeutic interventions may alter expression or localization
Documentation and reporting recommendations:
Document all unexpected patterns with representative images
Report antibody details, retrieval methods, and controls used
Describe pattern quantitatively (percentage of cells, staining intensity)
Compare with expected patterns based on literature
Advanced verification approaches:
Laser capture microdissection followed by Western blot or mass spectrometry
Correlative light and electron microscopy for precise localization
Single-cell analysis to characterize heterogeneous populations
Unexpected staining patterns, when properly validated, may represent novel biological insights rather than technical artifacts.
While the search results do not provide comprehensive information on GTF3C6's role in specific diseases, we can infer current research directions from the available data and context:
Cancer research applications:
GTF3C6 antibodies have been validated in human cancer tissues, including urothelial carcinoma and lung cancer
These validation studies suggest active investigation of GTF3C6's potential role in cancer biology
As a component of the RNA polymerase III transcription machinery, GTF3C6 may influence cancer cell growth through regulation of tRNA and other small RNA synthesis
Potential disease mechanisms:
Altered RNA polymerase III activity has been linked to cancer progression through increased protein synthesis capacity
Dysregulation of GTF3C6 could potentially impact cellular growth regulation pathways
As a nuclear transcription factor component, GTF3C6 may have roles in disease-specific gene expression programs
Methodological approaches in disease research:
Research challenges and considerations:
Limited public data on GTF3C6 disease associations
Need for large-scale expression studies across disease states
Importance of validating antibody specificity in disease tissues
Requirement for functional studies to establish causality rather than correlation
Emerging research directions:
Integration of GTF3C6 in multi-omics disease studies
Investigation of GTF3C6 as a potential biomarker
Exploration of regulatory mechanisms controlling GTF3C6 expression
Analysis of post-translational modifications in disease contexts
Research tools development:
Continued refinement of antibodies for disease research applications
Development of tissue-specific knockout models
Creation of systems biology approaches to understand GTF3C6 in disease networks
Researchers investigating GTF3C6's role in disease should focus on validating expression changes with multiple methodologies and establishing functional consequences through mechanistic studies.
Integrating GTF3C6 antibody-derived protein data with genomic and transcriptomic information provides a comprehensive understanding of GTF3C6 biology. Here's how to approach this integration:
Multi-omics correlation approaches:
Compare protein levels (Western blot, IHC) with mRNA expression (RNA-seq, qPCR)
Correlate GTF3C6 protein levels with gene expression profiles to identify regulated pathways
Integrate with ChIP-seq data (if available) to connect binding sites with expression changes
Use public databases like All of Us Research Program's All by All tables for large-scale genomic associations
Methodological integration strategies:
Sample matching: Use the same samples for proteomics and genomics when possible
Temporal analysis: Track changes across time points in both datasets
Cell type-specific analysis: Sort cells before analysis or use single-cell approaches
Pathway-level integration: Map both protein and transcript data to common pathways
Bioinformatic approaches:
Use correlation networks to identify genes with similar expression patterns
Apply machine learning to integrate multiple data types
Perform enrichment analysis to identify biological processes associated with GTF3C6
Utilize Bayesian networks to infer causal relationships
Validation strategies:
Confirm key findings with orthogonal methods
Use genetic perturbation (CRISPR, RNAi) to validate functional relationships
Perform rescue experiments to confirm specificity of observed effects
Database resources for integration:
The All of Us Research Program provides extensive genomic and phenotypic data that can be correlated with antibody-derived protein data
Public repositories like GEO and SRA for transcriptomic data
The Cancer Genome Atlas (TCGA) for cancer-specific multi-omics data
GTEx for tissue-specific expression patterns
Advanced integration techniques:
Spatial transcriptomics combined with immunohistochemistry
Single-cell multi-omics to correlate protein and RNA at the cellular level
Trajectory analysis to study GTF3C6 dynamics during cellular processes
Network analysis to place GTF3C6 in the context of larger regulatory systems
Visualization and reporting:
Create integrated visualizations showing multiple data types
Report correlation statistics between protein and transcript levels
Provide biological context for observed relationships
Document methodological details for reproducibility
This integrated approach provides deeper insights than any single data type and helps place GTF3C6 within broader biological contexts.