TMF1 (ARA160) is a multifunctional protein with critical roles in:
Transcriptional Regulation: Binds the HIV-1 TATA element and inhibits TATA-binding protein (TBP)-mediated transcriptional activation .
Intracellular Transport: Facilitates RAB6-dependent retrograde transport from endosomes to the Golgi and the Golgi to the ER .
Androgen Receptor Signaling: Acts as a coactivator of the androgen receptor (AR) .
STAT3 Regulation: Mediates STAT3 degradation, impacting cellular signaling pathways .
The antibody has been validated across multiple cell lines and tissues:
| Application | Detected In |
|---|---|
| WB | BxPC-3, L02, HeLa, HepG2 cells |
| IP | HepG2 cells |
| IHC | Human cervical cancer, testis tissue |
| IF/ICC | HepG2 cells |
WB Applications:
IF Applications:
Titration is required for optimal results in each experimental system.
Cross-reactivity with non-human species has not been validated .
TMF1’s role in viral restriction and cancer is under active investigation:
HSV-1 Restriction: While TMEFF1 (a distinct gene) restricts herpes simplex virus entry , TMF1’s interaction with HIV-1 highlights its unique role in viral transcriptional inhibition .
Cancer Relevance: High TMF1 expression in cervical cancer and testis tissues suggests potential diagnostic or therapeutic utility .
TMF1 (TATA element modulatory factor 1), also known as ARA160, is a multifunctional protein with several important cellular roles. Understanding these functions is essential for designing experiments with TMF1 antibodies:
Serves as a potential coactivator of the androgen receptor
Mediates STAT3 degradation
Plays critical roles in two RAB6-dependent retrograde transport processes: from endosomes to the Golgi and from the Golgi to the ER
Binds the HIV-1 TATA element and inhibits transcriptional activation by the TATA-binding protein (TBP)
The protein has a calculated molecular weight of 123 kDa but is typically observed at 150-160 kDa in Western blots due to post-translational modifications . TMF1 is widely expressed across multiple tissue types, making it relevant for various research applications .
When performing Western blot experiments with TMF1 antibodies, the following parameters should be considered for optimal results:
Recommended dilutions:
Validated cell lines for positive detection:
Human cell lines: BxPC-3, L02, HeLa, HepG2, HEK-293, Jurkat, K-562
Expected molecular weight: 150-160 kDa (although calculated MW is 123 kDa)
Methodological considerations:
Use freshly prepared cell lysates
Include positive control lysates from validated cell lines
Validate antibody specificity using appropriate blocking peptides
Consider nonspecific binding patterns when interpreting results
For successful IHC detection of TMF1, sample preparation is critical:
Antigen retrieval recommendations:
Validated tissue samples:
Human cervical cancer tissue
Human testis tissue
Mouse brain tissue
Mouse kidney tissue
Recommended dilution range: 1:50-1:500 for polyclonal antibodies; 1:250-1:1000 for monoclonal antibodies
Methodological protocol:
Fix tissue samples in 10% neutral buffered formalin
Embed in paraffin and section at 4-6 μm
Perform antigen retrieval as specified above
Block endogenous peroxidase and nonspecific binding sites
Incubate with primary antibody at optimal dilution
Detect using appropriate secondary antibody and visualization system
Counterstain, dehydrate, and mount
When facing signal problems in ELISA with TMF1 antibodies, consider these systematic troubleshooting steps:
For no signal or weak signal:
For high background:
Antibody validation is crucial for ensuring experimental reliability. For TMF1 antibodies, a comprehensive validation approach should include:
Multiple validation methods:
Western blot analysis: Confirm single band at expected molecular weight (150-160 kDa) in validated cell lysates (HepG2, HeLa)
Immunoprecipitation: Validate using HepG2 cells (0.5-4.0 μg antibody for 1.0-3.0 mg total protein)
Immunostaining pattern analysis: Compare subcellular localization with known TMF1 distribution (Golgi, ER, nucleus)
Knockout/knockdown controls: Compare staining in TMF1-depleted versus wild-type samples
Cross-reactivity testing: Test across multiple species if claiming multi-species reactivity
Important considerations:
Avoid using only recombinant proteins for validation as this provides limited specificity information
Use cell lysates rather than purified proteins to evaluate cross-reactivity
Document observed molecular weight compared to calculated weight (123 kDa vs. 150-160 kDa)
Understanding the differences between monoclonal and polyclonal TMF1 antibodies is essential for experimental design:
Polyclonal TMF1 antibodies:
Dilution ranges: 1:500-1:2000 (WB); 1:50-1:500 (IHC); 1:50-1:500 (IF/ICC)
Advantages: Recognize multiple epitopes; generally higher sensitivity; better for detecting denatured proteins
Monoclonal TMF1 antibodies:
Dilution ranges: 1:5000-1:50000 (WB); 1:250-1:1000 (IHC); 1:400-1:1600 (IF/ICC)
Advantages: Highly consistent lot-to-lot; specific to single epitope; lower background in some applications
Applications: Particularly effective for WB and quantitative applications
Selection guidance:
Choose polyclonal for exploratory research or when protein may be modified/degraded
Choose monoclonal for consistent, reproducible results and quantitative analysis
Consider using both antibody types to validate observations, especially in novel research areas
TMF1 plays crucial roles in RAB6-dependent retrograde transport processes, making it an interesting target for studying protein trafficking interactions:
Recommended methodological approaches:
Co-immunoprecipitation (Co-IP):
Proximity Ligation Assay (PLA):
Immunofluorescence co-localization:
Experimental considerations:
Preserve protein-protein interactions by using mild lysis conditions
Include appropriate controls to validate interactions
Consider dynamic nature of transport processes when designing temporal studies
Anti-TIF1-γ antibodies are important biomarkers in clinical research, particularly in the context of dermatomyositis (DM) and cancer:
Cancer association findings:
In 88% of anti-TIF1-γ positive patients, cancer was diagnosed within 3 years from DM diagnosis compared to 63% in anti-TIF1-γ negative patients
Anti-TIF1-γ antibodies can be detected up to five years before cancer diagnosis in some patients
Higher antibody levels (median 2.13 au) were associated with mortality within 1 year after cancer diagnosis compared to lower levels (median 1.34 au) in patients surviving longer
Remission of cancer often coincides with DM remission and decrease in anti-TIF1-γ antibody levels
Detection methods compared:
| Assay | Sensitivity for CADM* | Specificity for CADM* | Concordance with IP |
|---|---|---|---|
| In-house ELISA | 58% | 86% | 92% (κ = 0.76) |
| Commercial ELISA | 63% | 82% | 84% (κ = 0.63) |
| Immunoprecipitation (IP) | 52% | 92% | Reference method |
| Line Blot (LB) | 40% | 96% | 92.4% (κ = 0.73) |
*CADM = Cancer-Associated Dermatomyositis
Methodological recommendations:
For research applications: Use multiple detection methods for validation
For clinical applications: Consider ELISA for screening due to higher sensitivity, with IP confirmation for borderline cases
Monitor antibody levels longitudinally in studies of cancer progression/remission
When developing an ELISA for TMF1 antibody detection, researchers should consider these key parameters:
Assay design considerations:
Antigen coating:
Plate selection:
Sample handling:
Quality control measures:
Include known positive and negative controls
Incorporate internal standard samples across plates
Evaluate intra- and inter-assay coefficients of variation
Troubleshooting poor dynamic range:
Antibody developability studies can significantly enhance experimental reproducibility. For TMF1 antibodies, consider these approaches:
Key developability parameters to assess:
Stability testing:
Specificity evaluations:
Performance characteristics:
Assessment across multiple applications (WB, IHC, IF/ICC, IP, ELISA)
Dilution optimization for each application
Comparison with reference antibodies
Biophysical property assessments:
Thermal stability measurements
Colloidal stability evaluations
Research shows that antibodies with fewer developability "flags" have greater success in downstream applications, highlighting the importance of comprehensive characterization before extensive use in research programs .
As a potential coactivator of the androgen receptor, TMF1 represents an important target for research into steroid hormone signaling:
Recommended experimental approaches:
Co-immunoprecipitation studies:
Chromatin immunoprecipitation (ChIP):
Use TMF1 antibodies to investigate recruitment to androgen response elements
Compare occupancy patterns with and without androgen stimulation
Consider sequential ChIP to identify co-recruitment with androgen receptor
Functional studies:
Experimental considerations:
Include appropriate hormone treatments (e.g., DHT) and controls (e.g., flutamide)
Account for cell cycle dependencies in androgen signaling
Consider nuclear vs. cytoplasmic fractionation in biochemical analyses
Experimental variability is a common challenge in antibody-based research. For TMF1 antibodies, consider these strategies:
Sources of variability and solutions:
Methodological recommendations:
Implement rigorous protocols with detailed SOPs
Consider using automation where possible to reduce human error
Run technical replicates (minimum of duplicates)
Include positive controls from validated cell lines (HepG2, HeLa)
Maintain consistent antibody storage conditions (-20°C, avoid repeated freeze/thaw)
TMF1's involvement in RAB6-dependent retrograde transport processes offers opportunities for studying cellular trafficking mechanisms:
Advanced methodological approaches:
Live-cell imaging:
Combine TMF1 antibody fragments with cell-penetrating peptides
Track movement of TMF1-containing complexes in real time
Correlate with RAB6 dynamics using dual-color imaging
Super-resolution microscopy:
Proximity-dependent labeling:
Combine TMF1 antibodies with BioID or APEX2 approaches
Identify novel proteins involved in TMF1-mediated transport
Map the dynamic TMF1 interactome during transport events
Experimental design considerations:
Include appropriate transport inhibitors as controls (e.g., Brefeldin A)
Consider temporal dynamics in experimental design
Use multiple complementary approaches to validate findings
Epitope mapping provides crucial information about antibody binding characteristics and can explain cross-reactivity patterns:
Methodological approaches for TMF1 epitope mapping:
Peptide array analysis:
Generate overlapping peptide fragments spanning the 1093 amino acid sequence of TMF1
Test antibody binding to identify specific epitope regions
Compare to known functional domains of TMF1
Deletion and mutation analysis:
Create truncated or mutated TMF1 constructs
Assess antibody binding via Western blot or ELISA
Identify critical residues for antibody recognition
Competition assays:
Use defined peptides to compete for antibody binding
Measure inhibition of binding to full-length TMF1
Determine relative affinities for different epitopes
Practical considerations:
Account for potential conformational epitopes not represented in linear peptides
Consider post-translational modifications that might affect epitope recognition
Use epitope information to predict potential cross-reactivity with related TATA modulatory factors
Apply findings to understand differences between observed (150-160 kDa) and calculated (123 kDa) molecular weights
TMF1 binds the HIV-1 TATA element and inhibits transcriptional activation by TBP, making it relevant for viral research:
Emerging research approaches:
Virus-host protein interaction studies:
Transcriptional regulation analysis:
Combine ChIP assays using TMF1 antibodies with analysis of viral promoters
Compare TMF1 occupancy at viral versus cellular TATA elements
Correlate with transcriptional output using reporter assays
Connection to antiviral immunity:
Research considerations:
Include appropriate viral infection models and controls
Consider temporal dynamics of viral replication cycle
Account for potential TMF1 post-translational modifications during infection
Human's query was about generating FAQs for TMF1 antibody research, and I've provided 15 comprehensive FAQs covering basic to advanced research aspects, with methodological answers and data tables as requested.