TGFBR1 is a transmembrane serine/threonine kinase that forms a heterodimer with TGFBR2 upon TGF-beta ligand binding. Phosphorylation at Ser165 is a key step in receptor activation, enabling downstream SMAD2/3 phosphorylation and transcriptional regulation of target genes . The Ab-165 antibody specifically recognizes this phosphorylated site, making it a valuable tool for studying canonical and non-canonical TGF-beta signaling pathways.
Canonical Pathway: Phosphorylated TGFBR1 activates SMAD2/3, which complexes with SMAD4 to regulate gene expression .
Non-Canonical Pathway: TGFBR1 induces apoptosis via TRAF6/MAP3K7 activation and promotes epithelial-to-mesenchymal transition (EMT) through PARD6A phosphorylation .
The antibody is widely used in:
Western Blot (WB): Detecting phosphorylated TGFBR1 in cell lysates (e.g., dilution 1:500–1:1000) .
Immunofluorescence (IF): Visualizing receptor activation in situ (e.g., dilution 1:100–1:500) .
Immunohistochemistry (IHC): Analyzing tumor samples for TGFBR1 activation .
ELISA: Quantifying TGFBR1 phosphorylation in lysates (e.g., dilution 1:10,000) .
TGFBR1 is implicated in:
Cell Cycle Regulation: Inducing arrest in epithelial and hematopoietic cells .
Tissue Repair: Promoting wound healing and extracellular matrix production .
Cancer Progression: Contributing to immunosuppression and metastasis .
SMAD Proteins: Phosphorylates SMAD2/3 to initiate transcriptional programs .
TRAF6/MAP3K7: Mediates apoptosis via ubiquitination cascades .
Cancer Studies: Abcam’s ab112095 antibody was cited in 8 publications for analyzing TGFBR1 activation in breast, lung, and colorectal cancers .
TGF-beta Activation: Aviva’s OAEC02399 antibody demonstrated utility in studying integrin-mediated TGF-beta release (e.g., αvβ8) .
Loeys-Dietz Syndrome: Mutations in TGFBR1 are linked to aortic aneurysms, highlighting its role in vascular integrity .
Lyse cells in RIPA buffer with phosphatase inhibitors.
Resolve lysates via SDS-PAGE (8–10% gel).
Transfer to PVDF membrane and block with 5% milk/TBST.
Incubate with primary antibody (1:500–1:1000, 4°C overnight).
Detect with HRP-conjugated secondary antibody and ECL reagent .
Fix cells with 4% PFA and permeabilize with 0.1% Triton X-100.
Block with 10% FBS/TBST.
Stain with primary antibody (1:100–1:500, RT 1 hr).
Positive: TGF-beta-treated cell lysates (e.g., MCF10A or HEK293T) .
Negative: Untreated lysates or TGFBR1 knockdown/knockout cells .
This antibody remains a cornerstone in TGF-beta signaling research, enabling precise investigation of receptor activation and downstream effector pathways. Its versatility across applications underscores its utility in both basic and translational studies.
Applications : Circulating tumor cell immunostaining
Sample type: circulating tumor cells
Sample dilution: 1:100
Review: The circulating tumor cells (CTCs) from patients with locally advanced head and neck squamous cell carcinoma (HNSCC) negative for TGF-bRI expression, visualized with hematoxylin-eosin stain.The CTCs from patients with locally advanced HNSCC positive for TGF-bRI expression, visualized with DAB.
TGFBR1 (Ab-165) Antibody is a polyclonal antibody specifically designed to recognize the serine 165 region of the Transforming Growth Factor Beta Receptor 1 (TGFBR1). This antibody is generated using a synthesized non-phosphopeptide derived from Human TGF beta Receptor I, specifically targeting the region around the phosphorylation site of serine 165 (D-P-S(p)-L-D) . The antibody is typically produced in rabbits and purified using affinity-chromatography with epitope-specific immunogen to ensure high specificity and minimal cross-reactivity with other proteins .
The TGFBR1 (Ab-165) Antibody has multiple validated research applications:
| Application | Validation Status | Common Use Cases |
|---|---|---|
| Western Blotting (WB) | Validated | Detecting TGFBR1 protein expression levels and phosphorylation status in cell/tissue lysates |
| ELISA | Validated | Quantitative measurement of TGFBR1 levels in solutions |
| Immunofluorescence (IF) | Validated | Visualizing subcellular localization of TGFBR1 in fixed cells |
| Immunohistochemistry (IHC) | Validated for some variants | Detecting TGFBR1 expression in tissue sections |
This antibody is most commonly employed in studies investigating TGF-β signaling pathways, which regulate diverse cellular processes including proliferation, differentiation, and apoptosis .
The TGFBR1 (Ab-165) Antibody has been validated for reactivity with:
Human (primary reactivity)
Mouse (cross-reactivity confirmed)
Some variants may also react with rat samples, though this should be experimentally verified before use in critical experiments . When using the antibody with species other than human, it is advisable to perform preliminary validation tests to confirm specificity and optimal working conditions.
TGFBR1 is a transmembrane serine/threonine kinase that forms a heteromeric complex with type II TGF-beta receptors (TGFBR2) when bound to TGF-beta ligands. The signaling cascade proceeds as follows:
TGF-β ligand (TGFB1, TGFB2, or TGFB3) binds to TGFBR2
TGFBR2 dimerizes with and phosphorylates TGFBR1, activating its kinase domain
Activated TGFBR1 phosphorylates downstream SMAD proteins (SMAD2/3)
Phosphorylated SMADs form complexes with SMAD4 and translocate to the nucleus
The SMAD complex regulates transcription of target genes
This pathway regulates numerous physiological processes including cell cycle arrest, mesenchymal cell proliferation and differentiation, wound healing, extracellular matrix production, and immunosuppression . TGFBR1 is also involved in non-canonical, SMAD-independent pathways that contribute to processes like epithelial-to-mesenchymal transition and apoptosis .
Optimizing Western blotting with TGFBR1 (Ab-165) Antibody requires careful attention to several parameters:
Sample Preparation:
Include phosphatase inhibitors in lysis buffers to preserve Ser165 phosphorylation status
Use fresh samples when possible, as freeze-thaw cycles can affect phospho-epitope integrity
Consider enrichment steps for membrane proteins to improve detection sensitivity
Protocol Optimization:
Blocking: 5% BSA in TBST is generally preferred over milk-based blockers (which contain phosphatases)
Primary antibody dilution: Start with 1:1000 and adjust based on signal strength
Incubation time: Overnight at 4°C often yields better results than shorter incubations
Secondary antibody: Anti-rabbit IgG with appropriate conjugation (HRP is common)
Detection method: ECL substrates with varying sensitivity depending on expected expression levels
For detecting phosphorylated TGFBR1, consider using phospho-specific antibody variants like those targeting pSer165 specifically, which provide more precise information about the receptor's activation state .
Rigorous experimental design requires appropriate controls to validate TGFBR1 (Ab-165) Antibody results:
Positive Controls:
Cell lines with confirmed TGFBR1 expression (HepG2, NIH-3T3)
TGF-β stimulated cells (increases receptor activation)
Recombinant TGFBR1 protein (for antibody validation)
Negative Controls:
TGFBR1 knockout or knockdown samples (e.g., TGFBR1 CKO tissues as described in source )
Secondary antibody-only controls (to assess non-specific binding)
Blocking peptide competition assays (to confirm epitope specificity)
Validation Controls:
Use of multiple TGFBR1 antibodies targeting different epitopes (for confirmation)
Phosphatase treatment (to verify phospho-specificity)
TGF-β receptor inhibitors like SB431542 (to confirm signaling specificity)
Differentiating between TGF-beta receptor family members requires strategic experimental design:
Antibody Selection Strategy:
Choose antibodies targeting unique regions not conserved among family members
The Ser165 region of TGFBR1 contains sequences distinct from ACVR1B and other family members
Experimental Approaches:
Western blotting: Differentiate based on molecular weight (TGFBR1: ~56 kDa vs. other family members)
RT-qPCR: Design primers specific to unique regions of TGFBR1 mRNA
Immunoprecipitation followed by mass spectrometry: For definitive protein identification
Functional studies: Use selective inhibitors or ligands (TGF-β1 primarily signals through TGFBR1/TGFBR2)
Analysis Considerations:
Compare expression patterns across tissues (different receptors have distinct expression profiles)
Examine co-immunoprecipitation with known specific binding partners
Assess downstream signaling events unique to each receptor pathway
Studies investigating both TGFBR1 and ACVR1B (as in source ) demonstrate the importance of receptor-specific approaches to understand their distinct and synergistic roles in biological processes .
When confronting conflicting data regarding TGFBR1 phosphorylation status, employ the following methodological approaches:
Common Sources of Discrepancy:
Antibody cross-reactivity with other phosphorylated proteins
Differences in sample preparation affecting phosphorylation preservation
Temporal dynamics of phosphorylation missed by single-timepoint analyses
Cell type-specific expression levels and phosphorylation patterns
Resolution Strategies:
Complementary techniques: Combine Western blotting with immunoprecipitation, mass spectrometry, or phospho-proteomics
Kinase assays: Direct measurement of TGFBR1 kinase activity
Time-course experiments: Capture dynamic phosphorylation events
Phospho-specific vs. total TGFBR1 antibodies: Compare ratios rather than absolute values
Site-directed mutagenesis: Create S165A mutants to confirm specificity
Analysis Framework:
Document all experimental conditions meticulously
Consider phosphatase treatment controls
Validate with genetic approaches (knockdown/knockout)
Examine downstream effects (SMAD2/3 phosphorylation) as functional readouts
Research on TGFBR1 in different experimental systems has revealed context-dependent phosphorylation patterns, emphasizing the need for comprehensive validation strategies .
TGFBR1 (Ab-165) Antibody serves as a valuable tool for investigating TGF-beta's central role in fibrosis and tissue regeneration:
Fibrosis Research Applications:
Detecting TGFBR1 activation in fibrotic tissues
Monitoring changes in receptor expression during disease progression
Assessing the efficacy of anti-fibrotic therapies targeting the TGF-beta pathway
Tissue Regeneration Studies:
Tracking TGFBR1 involvement in wound healing processes
Investigating receptor dynamics during tissue repair
Evaluating the impact of TGFBR1 mutations on regenerative capacity
The role of TGFBR1 in these processes is highlighted by research showing that a single base change in the TGFBR1 gene can accelerate wound healing in slow-healing mouse strains. These studies utilized TGFBR1 detection methods to demonstrate that the R244Q variant receptor had a twofold increase in activity compared to wild-type, offering insights into potential therapeutic targets for enhanced wound healing .
When studying TGFBR1 in knockout or conditional knockout models, researchers should implement the following specialized protocols:
Genotyping and Validation:
PCR-based genotyping to confirm gene deletion
RT-qPCR to verify reduced TGFBR1 mRNA expression (expect 80-97% reduction in successful knockouts)
Western blotting with TGFBR1 antibodies to confirm protein reduction
Immunohistochemistry to assess tissue-specific deletion patterns
Experimental Considerations:
Account for TGFBR1 expression by non-targeted cell types within tissues
Implement cell-type specific markers to distinguish knockout effects
Use Cre-loxP systems with appropriate promoters (e.g., Amhr2-Cre for reproductive tract studies)
Include littermate controls without Cre recombinase
Phenotypic Analysis:
Document developmental effects (TGFBR1 is essential for female reproductive tract integrity)
Assess tissue regeneration capacity (muscle regeneration is affected by TGFBR1 knockout)
Measure collagen deposition and fibroblast marker expression (Tcf4, Pdgfra)
Examine pathway activity through phospho-SMAD levels
Research has demonstrated that TGFBR1 knockout in specific tissues yields distinctive phenotypes, such as infertility in female reproductive tract-specific knockouts and altered myofiber regeneration in muscle-specific knockouts .
Studying signaling cross-talk with TGFBR1 (Ab-165) Antibody requires sophisticated experimental designs:
Co-immunoprecipitation Approaches:
Immunoprecipitate TGFBR1 and probe for components of other pathways
Perform reverse co-IP with partners from intersecting pathways
Analyze phosphorylation-dependent interactions using phospho-specific antibodies
Multiplexed Detection Methodologies:
Simultaneous immunofluorescence with antibodies to multiple pathway components
Multiplex Western blotting to detect pathway activation markers
Phospho-flow cytometry for single-cell pathway activation analysis
Functional Cross-talk Assessment:
Selective pathway inhibition followed by TGFBR1 activation measurement
Combinatorial stimulation with multiple pathway ligands
Time-course experiments to determine sequential pathway activation
Recent research has uncovered important cross-talk between NPC1 (involved in cholesterol transport) and TGFBR1 stability regulation. NPC1 was found to promote TGF-β signaling by preventing proteasome-mediated degradation of TGFBR1 through inhibition of Lys 48-linked ubiquitination, demonstrating a novel regulatory mechanism independent of cholesterol transport .
Cancer research applications of TGFBR1 (Ab-165) Antibody require specialized methodologies:
Tissue Microarray (TMA) Analysis:
Score TGFBR1 expression intensity (0-3 scale) and percentage of positive cells (0-4 scale)
Calculate immunoreactive scores (0-12) by multiplying intensity and percentage scores
Compare expression between tumor and adjacent normal tissues
Correlate with clinicopathological parameters and patient outcomes
Cell Line-Based Investigations:
Compare TGFBR1 expression and phosphorylation across cancer cell lines
Assess receptor stability and degradation pathways using proteasome/lysosome inhibitors
Evaluate ubiquitination patterns (Lys48 vs. Lys63-linked) that influence receptor fate
Correlate with invasive/metastatic potential
Functional Studies:
Use TGFBR1 inhibition/activation to assess effects on proliferation, migration, EMT
Examine downstream signaling through canonical (SMAD) and non-canonical pathways
Study context-dependent tumor-promoting vs. tumor-suppressive effects
Research has demonstrated that NPC1 significantly promotes hepatocellular carcinoma progression by modulating the TGF-β pathway through TGFBR1 stabilization, identifying a potential therapeutic vulnerability for this cancer type .
Recognizing and addressing potential artifacts is essential for reliable TGFBR1 antibody results:
Common Sources of False-Positives:
Cross-reactivity with related receptors (especially other TGF-β superfamily members)
Non-specific binding to denatured proteins in fixed tissues
Secondary antibody binding to endogenous immunoglobulins
High background due to inappropriate blocking
Mitigation Strategies for False-Positives:
Validate antibody specificity using knockout/knockdown controls
Include peptide competition controls
Optimize blocking conditions (5% BSA often preferred)
Titrate antibody concentration carefully
Common Sources of False-Negatives:
Insufficient antigen retrieval (for IHC/IF)
Epitope masking by protein interactions
Loss of phosphorylation during sample processing
Low expression levels below detection threshold
Mitigation Strategies for False-Negatives:
Test multiple antigen retrieval methods
Include phosphatase inhibitors throughout sample preparation
Use signal amplification methods for low-abundance targets
Include positive control samples with known TGFBR1 expression
Properly validated experimental workflows drastically reduce the risk of both false-positive and false-negative results when working with TGFBR1 antibodies .
Lot-to-lot validation is critical for experimental reproducibility:
Essential Validation Steps:
Western blot comparison: Run new and old antibody lots side-by-side
Titration experiments: Determine optimal concentration for the new lot
Positive control panel: Test across multiple cell lines/tissues with known TGFBR1 expression
Signal-to-noise assessment: Compare background levels between lots
Phospho-specificity check: Verify detection of phosphorylated vs. non-phosphorylated forms
Documentation Requirements:
Record lot numbers, dilutions, and incubation conditions
Photograph/scan original blots and staining results
Document any protocol adjustments needed for the new lot
Maintain validation samples for future comparisons
Acceptance Criteria:
Consistent banding pattern at expected molecular weight (~56 kDa)
Comparable signal intensity at equivalent antibody concentrations
Similar background levels
Equivalent specificity in immunoprecipitation experiments
Thorough validation enables confident comparison of results obtained with different antibody lots and maintains experimental reproducibility over time .
Accurate quantification of TGFBR1 across experimental conditions requires rigorous methodology:
Western Blot Quantification:
Include loading controls (β-actin, GAPDH) and normalize TGFBR1 signals
Use housekeeping proteins with expression stability in your experimental context
Apply LI-COR or similar quantitative detection systems for broader dynamic range
Run standard curves with recombinant protein for absolute quantification
Immunofluorescence Quantification:
Perform all staining in parallel with identical parameters
Use automated image acquisition with consistent exposure settings
Apply threshold-based or machine learning segmentation algorithms
Report integrated intensity values normalized to cell number or area
RT-qPCR Quantification:
Design primers spanning exon-exon junctions
Validate primer efficiency using standard curves
Use multiple reference genes for normalization
Calculate relative expression using the 2^-ΔΔCt method
Flow Cytometry Approaches:
Include calibration beads for consistent instrument settings
Report results as median fluorescence intensity
Use isotype controls to set negative thresholds
Consider cell permeabilization optimization for intracellular domains
Integrating multiple quantification approaches provides comprehensive understanding of TGFBR1 regulation at transcriptional, translational, and post-translational levels .
Current research is utilizing TGFBR1 (Ab-165) Antibody to explore how phosphorylation states influence signaling:
Advanced Applications:
Mapping temporal dynamics of phosphorylation events following ligand binding
Correlating Ser165 phosphorylation with receptor activation and downstream signaling
Investigating phosphorylation-dependent protein-protein interactions
Identifying kinases and phosphatases that regulate TGFBR1 phosphorylation state
Methodological Approaches:
Phospho-specific vs. total receptor antibodies: Compare phosphorylation ratios
Proximity ligation assays: Detect phosphorylation-dependent interactions in situ
Mass spectrometry: Identify novel phosphorylation sites and quantify stoichiometry
Live-cell imaging: Monitor phosphorylation dynamics in real-time with phospho-sensors
Research Insights:
Research has demonstrated that phosphorylation status influences receptor stability and signaling duration. For example, studies using proteasome inhibitors revealed that TGFBR1 degradation is regulated by ubiquitination patterns, which are in turn influenced by phosphorylation status. This provides a mechanistic link between receptor phosphorylation, stability, and signaling persistence .
Single-cell analysis of TGFBR1 presents both challenges and opportunities:
Current Challenges:
Limited sensitivity for detecting low-abundance receptors
Maintaining phospho-epitope integrity during single-cell processing
Distinguishing membrane-bound from internalized receptors
Correlation of protein levels with functional signaling outcomes
Technical Advancements:
Single-cell Western blotting: Emerging technique for protein analysis at single-cell resolution
Mass cytometry (CyTOF): Metal-conjugated antibodies for multiplexed detection
Imaging mass cytometry: Spatial context with single-cell resolution
Single-cell RNA-seq with protein detection: Correlating transcriptome with surface proteins
Methodological Considerations:
Careful validation of antibody specificity at single-cell level
Development of signal amplification strategies for low-abundance targets
Implementation of machine learning algorithms for automated analysis
Integration of multiple parameters for comprehensive signaling assessment
These techniques promise deeper understanding of TGFBR1 heterogeneity across cell populations and within tumor microenvironments, potentially revealing novel therapeutic vulnerabilities .