C1QTNF9 antibodies are specialized tools for detecting and studying the protein C1QTNF9, a secreted glycoprotein structurally related to adiponectin. These antibodies are critical for research into obesity, diabetes, and cardiovascular diseases.
C1QTNF9 antibodies have enabled critical discoveries about the protein’s role in metabolic and cardiovascular health.
Mechanism: C1QTNF9 improves cardiac insulin sensitivity, glucose uptake, and oxidative energy production in cardiomyocytes .
Experimental Evidence:
CTRP9 Knockout (KO) Mice:
CTRP9 Overexpression:
Atherosclerosis: C1QTNF9 inhibits foam cell formation by promoting cholesterol efflux in macrophages and stabilizes atherosclerotic plaques .
Pulmonary Hypertension: Attenuates vascular remodeling by reducing ROS production and activating AMPK-mediated antioxidant pathways .
Full-Length vs. Globular Domains:
Full-length antibodies (e.g., ABIN531625) detect the entire protein, while region-specific antibodies (e.g., AA 58–72) target epitopes critical for receptor binding .
Proteolytic cleavage of C1QTNF9 generates a globular isoform (gCTRP9), which is more potent in activating survival kinases (e.g., AMPK, Akt) .
Human vs. Rodent Models:
Disease Biomarkers: Circulating C1QTNF9 levels show conflicting trends in diabetes and cardiovascular diseases, necessitating standardized assays .
Therapeutic Targeting: Antibodies could facilitate studies on C1QTNF9’s post-translational modifications (e.g., glycosylation) and its interaction with adiponectin receptors .
C1QTNF9B antibodies have demonstrated efficacy in several experimental applications with varying success rates:
Western Blotting (WB): Most commercially available C1QTNF9B antibodies are validated for WB applications, with recommended dilution ranges of 1:500-2000 . This technique effectively detects the protein at approximately 35-42 kDa .
ELISA: Many C1QTNF9B antibodies perform well in ELISA with recommended dilution ranges of 1:5000-20000 .
Immunofluorescence (IF): Some antibodies are validated for immunofluorescence applications, including both cell staining (IF/ICC) and tissue sections .
Immunohistochemistry (IHC): Select antibodies have been validated for paraffin-embedded (IHC-p) and frozen sections (IHC-f) .
When selecting an application, consider the protein's cellular localization. C1QTNF9B primarily localizes to secretory pathways and forms heteromeric complexes with CTRP9A or adiponectin required for secretion. Otherwise, it remains in the endoplasmic reticulum .
Optimal sample preparation varies by application and source material:
For Western Blot Analysis:
Use standard lysis buffers containing protease inhibitors
For serum samples, samples should be prepared under reducing conditions using immunoblot buffer groups like Buffer Group 1
PVDF membranes have shown better results than nitrocellulose for C1QTNF9B detection
When probing, use antibody concentrations of approximately 2 μg/mL for primary antibodies
For Tissue Samples:
For immunohistochemistry, 7 μm sections show optimal results
Fixation with formalin followed by blocking with 3% BSA solution improves specificity
Overnight incubation with primary antibody at 4°C followed by 2-hour incubation with secondary antibody at room temperature
Serum/Plasma Samples:
For analyzing circulating C1QTNF9B, collect samples after 6-hour fasting for standardized results
C1QTNF9B can form heterotrimers with adiponectin, which may require specialized immunoprecipitation approaches to distinguish complexes
Comprehensive validation includes:
Western blot verification: A specific band should be detected at approximately 35-42 kDa. Studies demonstrate successful detection in human serum samples showing bands at approximately 42 kDa .
Positive controls: Use tissues with known expression (adipose tissue, cardiac endothelial cells) as positive controls .
Knockout validation: Compare staining patterns between wild-type and C1QTNF9B knockout mice tissues to confirm specificity .
Cross-reactivity assessment: Test antibodies against related CTRP family members, particularly C1QTNF9A, which shares high sequence homology.
Peptide competition: Pre-incubation with immunizing peptide should abolish signal in applications like WB or IHC.
Immunoprecipitation followed by mass spectrometry: For definitive validation of antibody specificity.
Proper storage significantly impacts antibody performance and shelf-life:
| Storage Condition | Duration | Temperature | Special Considerations |
|---|---|---|---|
| As supplied | 12 months | -20°C to -70°C | Avoid freeze-thaw cycles |
| After reconstitution (short-term) | 1 month | 2-8°C | Maintain sterile conditions |
| After reconstitution (long-term) | 6 months | -20°C to -70°C | Maintain sterile conditions |
Additional recommendations:
Use manual defrost freezers rather than auto-defrost to prevent temperature fluctuations
Aliquot reconstituted antibodies to minimize freeze-thaw cycles
Store in glycerol-containing buffers (many commercial preparations contain 50% glycerol)
Some formulations contain PBS with 0.02% sodium azide as preservative
Optimal dilutions vary by application and specific antibody:
| Application | Typical Dilution Range | Notes |
|---|---|---|
| Western Blot | 1:500-2000 | May require optimization for different tissue types |
| ELISA | 1:5000-20000 | Higher dilutions typically effective |
| Immunofluorescence | 1:50-200 | Lower dilutions often needed for tissue sections |
| Immunohistochemistry | 1:50-200 | May require antigen retrieval methods |
| Flow Cytometry | 1:50-100 | Limited validation for this application |
Remember that optimal dilutions should always be determined experimentally for each specific antibody, application, and laboratory condition .
Differentiating between these highly similar paralogs requires specialized techniques:
Selective antibody targeting: Use antibodies raised against unique epitopes in the variable N-terminal regions where sequence divergence is greatest .
PCR-based discrimination: Design primers targeting non-homologous regions:
C1QTNF9A-specific forward: 5'-CTGAGGAGTGGAACTTCGAG-3'
C1QTNF9B-specific forward: 5'-GAGTACAAGCGCATCTTCGAG-3'
Common reverse: 5'-CTGGTACACCTTGTAGCCGTG-3'
Knockout models: Utilize C1QTNF9B knockout mice as negative controls while maintaining C1QTNF9A expression .
Functional discrimination:
C1QTNF9B requires heteromeric complex formation for secretion
C1QTNF9A can be secreted independently
Co-immunoprecipitation studies can help identify specific binding partners
Proteomic analysis: Mass spectrometry can identify peptide fragments unique to each paralog after tryptic digestion.
These approaches should be used in combination for reliable discrimination between these closely related proteins.
Investigation of C1QTNF9B in diabetic cardiomyopathy requires multi-faceted experimental designs:
Animal models: High-fat diet (HFD) models effectively induce early stages of diabetic cardiomyopathy. Use 60 kcal-% fat diet (#D12492) for 12 weeks starting with 7-9 week-old mice .
Genetic manipulation approaches:
Functional assessment techniques:
Signaling pathway analysis:
Inflammation assessment:
This comprehensive approach helps elucidate C1QTNF9B's protective effects against diabetic cardiomyopathy.
AMPK activation by C1QTNF9B can be rigorously evaluated using:
Cell-based assays:
Treat cardiomyocytes, skeletal muscle cells, or adipocytes with recombinant C1QTNF9B (recommended dose range: 0.1-10 μg/mL)
Assess time-course (5, 15, 30, 60 min) and dose-response relationships
Phosphorylation analysis:
Western blotting for phospho-AMPK (Thr172) and downstream targets like ACC (Ser79)
Normalize to total AMPK and ACC protein levels
Functional readouts:
Specificity controls:
AMPK inhibitor Compound C (10 μM) should abolish effects
AMPK-null cells as negative controls
Comparison with known AMPK activators (AICAR, metformin) as positive controls
In vivo validation:
Administer recombinant C1QTNF9B to mice (0.5 μg/g body weight, i.p.)
Tissue collection after 30-60 minutes for phospho-AMPK assessment
Compare with AMPK activators (AICAR, 0.5 mg/g body weight)
These approaches provide robust assessment of C1QTNF9B's AMPK-activating properties across multiple experimental systems.
Investigating paracrine signaling requires sophisticated experimental designs:
Cell-specific expression analysis:
Single-cell RNA sequencing to identify cell types expressing C1QTNF9B
Immunofluorescence co-localization with cell-type markers (endothelial cells: CD31; cardiomyocytes: troponin T)
Conditioned media experiments:
Culture cardiac endothelial cells (primary expressers of C1QTNF9B)
Transfer conditioned media to cardiomyocytes
Assess signaling pathway activation (AKT, AMPK, ERK1/2)
Compare with C1QTNF9B-depleted media (immunodepletion) as control
Co-culture systems:
Transwell co-culture of endothelial cells with cardiomyocytes
Use C1QTNF9B knockout endothelial cells as negative control
Analyze cardiomyocyte function (calcium handling, contractility)
In vivo approaches:
Receptor identification:
AdipoR1 is a likely receptor—use AdipoR1 knockdown/knockout to verify
Perform binding studies with labeled C1QTNF9B
Investigate receptor clustering and downstream signaling complex formation
These approaches collectively elucidate the paracrine mechanisms by which endothelial-derived C1QTNF9B influences cardiomyocyte function.
C1QTNF9B forms complex structures requiring specialized analytical approaches:
Native protein complex preservation:
Use non-denaturing lysis buffers
Avoid reducing agents when studying homotrimers or heterotrimers
Consider native PAGE for intact complex separation
Co-immunoprecipitation strategies:
Size exclusion chromatography:
Separate complexes by molecular weight (homotrimers ~120 kDa, higher-order multimers >200 kDa)
Collect fractions for further analysis
Crosslinking approaches:
Use chemical crosslinkers (BS3, DSS) to stabilize transient interactions
Optimize crosslinker concentration and reaction time
Advanced analytical techniques:
Blue native PAGE for separation of intact complexes
Mass spectrometry techniques:
Intact mass measurement for complex stoichiometry
Crosslink-MS to map interaction interfaces
Native MS for complex composition
Functional analysis of complexes:
Compare signaling properties of homotrimers vs. heterotrimers with adiponectin
Investigate receptor binding preferences of different complex forms
These methodologies help elucidate C1QTNF9B's complex biology in its natural higher-order structures.
Several genetic approaches offer insights into C1QTNF9B biology:
Conventional knockout mouse models:
Conditional knockout approaches:
Cell-specific deletion using Cre-loxP system
Endothelial-specific knockout using Tie2-Cre or Cdh5-CreERT2
Adipocyte-specific using Adipoq-Cre
Temporal control with tamoxifen-inducible CreERT2 systems
AAV-mediated overexpression:
CRISPR/Cas9 genome editing:
For generating cell line models
Design guide RNAs targeting early exons
Verify knockout by sequencing and protein expression analysis
Knockin reporter strategies:
Each approach offers distinct advantages for investigating different aspects of C1QTNF9B biology, from tissue-specific roles to temporal expression patterns.
Comprehensive expression analysis requires multiple complementary approaches:
Quantitative PCR protocols:
Recommended primer sequences:
Forward: 5'-ACGCCTGGCTCTGTACTTCT-3'
Reverse: 5'-TCTCCAGGGTGAACATCTCG-3'
Reference genes: GAPDH, β-actin, 18S rRNA
Analyze using 2^-ΔΔCt method
Protein quantification methods:
Western blotting with serial dilutions of recombinant standards
ELISA with appropriate antibody pairs
Capture antibody: polyclonal anti-C1QTNF9B
Detection antibody: biotin-conjugated anti-C1QTNF9B
Tissue expression analysis:
Immunohistochemistry with standardized protocols
Single-cell RNA sequencing for cell-type-specific expression
In situ hybridization for spatial resolution
Disease model considerations:
Circulating levels assessment:
Collect serum under standardized conditions (time of day, fasting status)
Use sandwich ELISA with validated antibody pairs
Account for complex formation with adiponectin
These methodologies provide comprehensive insight into C1QTNF9B regulation across physiological and pathological states.
Developing effective function-blocking antibodies presents several technical challenges:
Epitope selection considerations:
Target functional domains (C1q globular domain) responsible for receptor binding
Avoid collagenous domains that may cross-react with other CTRP family members
Consider accessibility in native protein conformations
Validation strategies:
Receptor binding inhibition assays
Signaling pathway inhibition (pAMPK, pAKT reduction)
Functional assays (glucose uptake, fatty acid oxidation)
Comparison with genetic knockout models
Technical limitations to address:
Accessibility issues due to complex formation
Cross-reactivity with C1QTNF9A and other family members
Potential for compensatory upregulation of related proteins
Need for appropriate controls (isotype-matched, pre-immune serum)
Administration considerations for in vivo studies:
Optimal antibody dose and administration schedule
Tissue penetration challenges, especially for cardiac studies
Half-life determination for dosing intervals
Verification of target engagement in tissues of interest
Researchers should employ multiple complementary approaches to confirm antibody-mediated functional blockade, including both in vitro and in vivo validation methods.
Advanced proteomic techniques offer powerful insights into C1QTNF9B biology:
Post-translational modification mapping:
Interactome analysis:
Proximity labeling approaches (BioID, APEX)
Immunoprecipitation followed by mass spectrometry
Crosslinking mass spectrometry for interaction interfaces
Comparative analysis between normal and disease states
Structural proteomics:
Hydrogen-deuterium exchange mass spectrometry for conformational dynamics
Native mass spectrometry for complex stoichiometry
Ion mobility for structural characterization of assemblies
Secretome analysis:
Quantitative proteomics of conditioned media
SILAC labeling for accurate quantification
Comparison between wild-type and C1QTNF9B knockout cells
Clinical proteomics applications:
Multiple reaction monitoring (MRM) assays for absolute quantification
Parallel reaction monitoring (PRM) for increased specificity
Development of clinical assays for biomarker applications
These proteomic approaches provide molecular-level insights that complement traditional biochemical and cell biological methods in C1QTNF9B research.
Investigating C1QTNF9B's anti-inflammatory effects requires systematic approaches:
In vitro inflammation models:
Macrophage polarization assays (M1 vs. M2 markers)
Cytokine production measurement (TNF-α, IL-1β, IL-6)
NF-κB pathway activation assessment
Treat cells with recombinant C1QTNF9B (1-5 μg/mL)
In vivo inflammation assessment:
Transcriptomic analysis:
RNA sequencing of cardiac tissue from wild-type and C1QTNF9B-modulated mice
Focus on inflammatory gene signatures
Key pathways: NF-κB, JAK-STAT, inflammasome activation
Mechanistic investigations:
Receptor identification for anti-inflammatory effects
Signaling pathway delineation
Direct binding partners in immune cells
Translation to human studies:
Correlation of circulating C1QTNF9B with inflammatory markers
Ex vivo studies using human samples
Genetic association studies for inflammatory conditions
These approaches comprehensively evaluate the anti-inflammatory properties of C1QTNF9B and identify underlying mechanisms for potential therapeutic development.