The TRIM11 Antibody is a polyclonal antibody developed to target the tripartite motif-containing 11 (TRIM11) protein, a key regulator of proteasomal degradation and protein homeostasis. TRIM11 is implicated in cellular processes such as protein quality control, immune response modulation, and neurodegenerative disease pathologies .
TRIM11 enhances proteasomal activity by binding to the proteasome and USP14, a deubiquitinase that inhibits proteasome function. This interaction prevents USP14-mediated inhibition, increasing the degradation of both misfolded proteins and regulatory proteins . Overexpression of TRIM11 accelerates degradation of proteins like tau and p53, while its depletion slows proteolysis .
In Alzheimer’s disease models, TRIM11 reduces tau aggregation by acting as a molecular chaperone and disaggregase. Its expression is significantly downregulated in AD brains, correlating with disease progression .
TRIM11 is overexpressed in high-grade gliomas and breast cancer, promoting proliferation and survival. It stabilizes oncogenic proteins such as estrogen receptor α, suggesting a potential therapeutic target .
The TRIM11 Antibody is widely used in:
Western blotting: To quantify TRIM11 levels in cancer cells (e.g., HEK-293, HeLa) .
Immunohistochemistry: Detecting TRIM11 in human colon cancer tissues .
Co-immunoprecipitation: Studying TRIM11-proteasome interactions .
Neurodegenerative studies: Investigating tau clearance in Alzheimer’s disease .
TRIM11 (Tripartite motif-containing protein 11) is an E3 ubiquitin-protein ligase that promotes the degradation of insoluble ubiquitinated proteins. It mediates the ubiquitination of various target proteins, leading to their proteasomal degradation . TRIM11 plays crucial roles in:
TRIM11 mechanistically binds to both the proteasome and USP14 (a deubiquitinase), preventing their association and thereby increasing proteasome activity .
TRIM11 antibodies have been validated for multiple experimental applications:
For optimal results, it is recommended to titrate the antibody concentration in each specific experimental system .
The calculated molecular weight of TRIM11 is approximately 52 kDa, while the observed molecular weight in SDS-PAGE is typically around 53 kDa . This slight discrepancy is common for many proteins due to post-translational modifications or the inherent properties of the protein. When performing Western blot analysis, researchers should expect to detect a band at approximately 53 kDa when using anti-TRIM11 antibodies. Always include appropriate positive controls (e.g., lysates from HEK-293, HeLa, or Jurkat cells) which have been verified to express detectable levels of TRIM11 .
Most commercially available TRIM11 antibodies have been validated primarily with human samples . Specifically:
Cell lines: HEK-293, HeLa, and Jurkat cells have shown positive Western blot detection
Tissues: Human colon cancer tissue has been successfully used for IHC applications
Some antibodies may cross-react with mouse samples, though this should be experimentally verified for each antibody
When working with other species or sample types, preliminary validation experiments are strongly recommended.
TRIM11 has been identified as an oncogene in non-small cell lung cancer (NSCLC) and other malignancies, with increased expression correlating with poor clinical survival . To investigate TRIM11's role in cancer:
Expression analysis: Use Western blot and IHC to compare TRIM11 levels between tumor and adjacent normal tissues. Quantify expression differences and correlate with clinical parameters.
Functional studies: Combine TRIM11 antibodies with knockdown/overexpression approaches. For example, researchers have demonstrated that siRNA-mediated TRIM11 knockdown inhibits cancer cell proliferation, induces apoptosis, and prevents glucose uptake in lung cancer cells .
Mechanistic investigations: Employ co-immunoprecipitation with TRIM11 antibodies to identify novel binding partners in cancer cells. Research has shown that TRIM11 regulates lung cancer progression via the DUSP6-mediated ERK1/2 signaling pathway .
Therapeutic potential assessment: Monitor TRIM11 levels after treatment with potential therapeutic agents to determine if TRIM11 downregulation correlates with treatment response.
When designing these experiments, researchers should consider both the catalytic (E3 ligase) and non-catalytic functions of TRIM11, as both may contribute to its oncogenic properties.
Successful IHC with TRIM11 antibodies requires careful optimization:
Antigen retrieval: Published protocols recommend using either TE buffer (pH 9.0) or citrate buffer (pH 6.0) for antigen retrieval . Comparative testing of both conditions is advisable for new tissue types.
Antibody dilution: Start with the recommended range (1:250-1:1000) and optimize based on signal-to-noise ratio .
Detection system selection: Choose between chromogenic (DAB) or fluorescent detection based on experimental needs. For multiplex staining, consider fluorescent detection to allow co-localization studies with other markers.
Controls: Always include:
Counterstaining optimization: Adjust hematoxylin intensity to maintain visibility of TRIM11 staining while providing structural context.
For quantitative analysis, consider digital image analysis using specialized software to measure staining intensity and distribution, particularly when comparing expression across different tissue samples or experimental conditions.
Non-specific binding can complicate interpretation of results when using TRIM11 antibodies. Advanced troubleshooting approaches include:
Antibody validation using genetic controls:
Cross-reactivity assessment:
TRIM family proteins share structural similarities that may lead to cross-reactivity
Test specificity through Western blot analysis of samples overexpressing different TRIM family members
Optimization strategies:
Increase blocking duration and concentration (5% BSA or 5% normal serum from the same species as the secondary antibody)
Add 0.1-0.3% Triton X-100 to reduce hydrophobic interactions
Include negative controls with isotype-matched IgG from the same species as the primary antibody
Signal validation:
Validation through multiple techniques (e.g., verifying IF results with Western blot) provides stronger evidence for antibody specificity.
Investigating TRIM11's E3 ligase function requires specialized experimental designs:
In vitro ubiquitination assays:
Components: Purified E1, E2 enzyme (typically UbcH5 family), TRIM11 (immunoprecipitated using anti-TRIM11 antibodies), substrate protein, ubiquitin, ATP
Detection: Western blot for ubiquitinated substrate using substrate-specific antibodies
Controls: Reactions lacking ATP, E1, E2, or using catalytically inactive TRIM11 mutants
Cellular ubiquitination assays:
Co-express tagged ubiquitin, TRIM11, and potential substrate
Immunoprecipitate substrate under denaturing conditions
Detect ubiquitination by Western blot using anti-ubiquitin or anti-tag antibodies
Compare wild-type TRIM11 with RING domain mutants lacking E3 ligase activity
Proteasome inhibition experiments:
Deubiquitinase interaction studies:
When publishing these results, researchers should include full gel images and appropriate controls to demonstrate specificity of the observed ubiquitination activity.
To preserve antibody functionality and extend shelf-life:
Storage conditions:
Handling practices:
Avoid repeated freeze-thaw cycles (aliquot upon first thaw if necessary)
Centrifuge briefly after thawing to collect all liquid at the bottom of the tube
Handle at recommended temperature (usually 4°C) during experiments
Return to -20°C promptly after use
Working dilution preparation:
Dilute only the amount needed for immediate use
Use high-quality, freshly prepared buffers
Add carrier protein (0.1-0.5% BSA) to diluted antibody solutions when working at very low concentrations
Contamination prevention:
Use sterile technique when handling antibodies
Avoid introduction of bacteria or fungi which may produce proteases
If contamination is suspected, filter through a 0.22μm filter (note this may reduce antibody concentration)
Following these practices will help ensure consistent results across experiments and maximize the usable life of TRIM11 antibodies.
When facing detection challenges with TRIM11 antibodies in Western blot:
Sample preparation optimization:
Ensure complete cell lysis using appropriate detergents (RIPA buffer is often effective)
Include protease inhibitors to prevent degradation
Normalize protein loading (25-50μg total protein per lane typically works well)
Verify TRIM11 expression in your cell type/tissue (HEK-293, HeLa, and Jurkat cells are known to express detectable levels)
Protocol adjustments:
Try different blocking agents (5% non-fat milk vs. 5% BSA)
Optimize primary antibody concentration (try the upper end of the recommended range: 1:1000)
Extend primary antibody incubation (overnight at 4°C)
Use more sensitive detection systems (enhanced chemiluminescence or fluorescent secondary antibodies)
Transfer efficiency verification:
Check transfer by staining membrane with Ponceau S
Ensure transfer conditions are appropriate for a 53 kDa protein
Consider using PVDF membrane instead of nitrocellulose for potentially better protein retention
Technical considerations:
Verify antibody functionality with a positive control lysate
Test alternative antibody clones that recognize different epitopes
Consider the impact of protein modifications or isoforms that might affect epitope accessibility
If TRIM11 levels are expected to be very low, signal amplification systems or more sensitive detection methods may be necessary.
For accurate quantification of TRIM11 expression:
Western blot densitometry:
Capture images within the linear range of detection
Use image analysis software (ImageJ, Image Lab, etc.) for densitometry
Normalize TRIM11 signal to loading controls (β-actin, GAPDH, or total protein stain)
Include a standard curve with known amounts of recombinant TRIM11 for absolute quantification
Report data as fold-change relative to control conditions
Quantitative immunofluorescence:
Use consistent image acquisition parameters
Measure mean fluorescence intensity in defined cellular compartments
Include internal controls in each image
Analyze sufficient cell numbers for statistical significance (typically >50 cells per condition)
Flow cytometry:
Optimize fixation and permeabilization for intracellular TRIM11 detection
Include fluorescence-minus-one (FMO) controls
Report data as median fluorescence intensity (MFI)
Consider dual staining with cell type markers for heterogeneous samples
qRT-PCR for mRNA levels:
Design specific primers for TRIM11
Use multiple reference genes for normalization
Correlate mRNA levels with protein expression to account for post-transcriptional regulation
For all quantification methods, perform at least three biological replicates, conduct appropriate statistical analysis, and consider the dynamic range of the detection method relative to expected expression differences.
Strategic antibody selection is critical for experimental success:
Epitope consideration:
For full-length protein detection: Antibodies targeting conserved domains
For isoform specificity: Antibodies recognizing unique regions
For functional studies: Antibodies targeting the RING domain (for E3 ligase activity) or specific functional motifs
Application-specific selection:
Validation assessment:
Technical specifications:
The search results indicate that rabbit polyclonal antibodies have been extensively validated for TRIM11 detection across multiple applications, making them a good starting point for most research projects .
When examining TRIM11 in cancer contexts:
Study design considerations:
Technical optimization for patient tissues:
Test multiple antibody dilutions on representative samples before processing entire cohorts
Optimize antigen retrieval methods for preserved tissues (FFPE samples may require stronger retrieval conditions)
Include on-slide positive and negative controls
Consider dual staining with tumor markers for accurate identification of neoplastic cells
Analysis approaches:
Mechanistic validation:
Research has demonstrated that increased expression of TRIM11 correlates with poor clinical survival in cancer patients, highlighting the importance of these investigations .
TRIM11 has been implicated in antiviral defense and immune regulation . To explore these functions:
Viral infection studies:
Compare viral replication in cells with normal, overexpressed, or knocked-down TRIM11
Focus on retroviruses (HIV-1, murine leukemia virus) where TRIM11 has demonstrated effects
Assess viral gene expression and virion production
Determine whether E3 ligase activity is required for antiviral function using catalytically inactive mutants
TRIM11-AIM2 inflammasome regulation:
TRIM11 inhibits the AIM2 inflammasome by promoting autophagy-dependent degradation of AIM2
Monitor inflammasome activation (IL-1β production, ASC speck formation) in relation to TRIM11 levels
Track AIM2 localization to autophagosomes using co-localization studies
Investigate TRIM11 autoubiquitination upon DNA stimulation
Mechanistic studies:
Examine TRIM11 interaction with SQSTM1/p62 in the context of autophagy induction
Investigate how TRIM11 regulates TRIM5 turnover via the proteasome pathway
Determine how this affects cross-species restriction of retroviral infection
Physiological relevance:
Compare TRIM11 expression during viral infection or inflammatory stimulation
Assess TRIM11 levels in immune cells vs. non-immune cells
Investigate potential polymorphisms in TRIM11 that correlate with infection susceptibility
These approaches will help clarify TRIM11's complex roles in innate immunity and antiviral defense mechanisms.
TRIM11 is upregulated upon heat shock and promotes cell survival . To investigate this stress response function:
Heat shock induction protocols:
Compare acute (42°C for 1-2 hours) vs. chronic (39-40°C for 12-24 hours) heat stress
Monitor TRIM11 protein and mRNA levels at different timepoints post-heat shock
Include recovery phases to assess persistence of upregulation
Compare with other stress conditions (oxidative stress, ER stress) to determine specificity
Transcriptional regulation analysis:
Identify heat shock elements (HSEs) in the TRIM11 promoter region
Perform chromatin immunoprecipitation for heat shock factors (HSFs)
Use reporter assays to verify functional importance of identified elements
Determine if TRIM11 is a direct target of classical heat shock transcription factors
Functional significance assessment:
Compare cell survival after heat shock in TRIM11-normal vs. depleted cells
Examine protein aggregation levels as TRIM11 promotes degradation of insoluble proteins
Investigate interaction of TRIM11 with heat shock proteins
Assess whether TRIM11's proteasome-activating function is enhanced during heat stress
Mechanism exploration:
Compare global ubiquitination profiles before and after heat shock in relation to TRIM11 levels
Identify heat-specific TRIM11 substrates
Determine if TRIM11's interaction with USP14 and the proteasome is altered during stress conditions
These experiments will help elucidate how TRIM11 contributes to cellular resilience during heat stress and potentially other proteotoxic stress conditions.
The TRIM protein family contains over 70 members with similar domain structures, raising cross-reactivity concerns:
Bioinformatic analysis:
Perform sequence alignment of the immunogen region against other TRIM family members
Identify potential cross-reactive proteins based on epitope similarity
Pay particular attention to closely related TRIMs (TRIM3, TRIM25, TRIM56)
Experimental verification:
Test antibody specificity in TRIM11 knockout/knockdown systems
Check reactivity in cells overexpressing different TRIM family members
Perform peptide competition assays using the immunizing peptide
Validation across multiple techniques:
Alternative detection strategies:
Use epitope-tagged TRIM11 constructs and tag-specific antibodies for validation
Consider RNA-based detection methods (RNA-FISH, qRT-PCR) as complementary approaches
When possible, verify key findings with multiple TRIM11 antibodies recognizing different epitopes
These approaches will help ensure that observed signals are specific to TRIM11 rather than related TRIM family proteins.
Robust controls are critical for reliable quantitative analyses:
Specificity controls:
TRIM11 knockdown/knockout samples as negative controls
TRIM11 overexpression samples as positive controls
Isotype control antibodies to assess non-specific binding
Secondary antibody-only controls to detect background
Technical controls:
Loading controls for Western blot (β-actin, GAPDH, or total protein stains)
Internal reference cells/tissues with known TRIM11 expression levels
Standard curves using recombinant TRIM11 for absolute quantification
Dilution series to verify detection linearity
Biological controls:
Data analysis controls:
Blinded quantification to prevent bias
Multiple independent analysts for critical experiments
Statistical tests appropriate for data distribution
Inclusion of all replicate data points in addition to means/medians
Implementation of these controls will enhance the reliability and reproducibility of quantitative analyses involving TRIM11 antibodies.
Comprehensive validation strategies include:
Genetic approaches:
Multi-antibody validation:
Replicate key findings using antibodies recognizing different TRIM11 epitopes
Compare monoclonal and polyclonal antibodies when available
Verify consistency between commercial sources
Orthogonal techniques:
Complement protein detection with mRNA analysis
Use proximity ligation assays to verify protein-protein interactions
Employ mass spectrometry for unbiased protein identification
Functional validation:
Assess whether observed phenotypes align with known TRIM11 functions
Test domain-specific mutants to connect findings to specific TRIM11 activities
Investigate whether manipulation of TRIM11 levels affects expected downstream targets
Publication standards:
Report all antibody validation data
Include detailed methods for reproducibility
Disclose limitations and potential cross-reactivity issues
These validation approaches will strengthen the reliability of TRIM11 antibody-based discoveries and enhance their scientific impact.