TOM1L1 (Target of Myb1-like 1) is an adaptor protein of the Tom1 family that functions as both a substrate and activator of Src family protein-tyrosine kinases (SFK). It contains several key domains including VHS, GAT, linker region, and a C-terminal domain. The C-terminal region contains a 457EEI sequence that creates a perfect phosphorylation site for Src and binding to its SH2 domain, plus a RLP421PLP motif with potential high affinity for SrcSH3. TOM1L1 also contains binding sites for signaling proteins like Grb2 (Tyr441) and the p85 subunit of phosphatidylinositol 3-kinase (Tyr392), though Tyr457 is the major Src phosphorylation site in vivo . The linker region between the GAT domain and C-terminus (amino acids 291 to 387) has been identified as functionally important for TOM1L1's biological activity .
While the calculated molecular weight of TOM1L1 is approximately 39 kDa (comprising 346 amino acids) , researchers frequently observe a higher apparent molecular weight of approximately 53 kDa in Western blot applications . This discrepancy between predicted and observed molecular weights is likely due to post-translational modifications, particularly phosphorylation events that are known to occur on TOM1L1. Additionally, some researchers have noted a 40 kDa protein that is frequently observed when using TOM1L1 antibodies , which may represent an isoform or processed form of the protein.
Most commercially available TOM1L1 antibodies show reactivity with human, mouse, and rat samples . This cross-reactivity reflects the conservation of the TOM1L1 protein across mammalian species. When selecting antibodies for particular experimental systems, it's advisable to confirm specific species reactivity with the manufacturer. Some antibodies may have more limited species reactivity, such as those specifically validated only for human samples .
TOM1L1 antibodies have been successfully employed in multiple experimental applications:
When designing experiments, researchers should validate the antibody in their specific experimental system, as performance can vary depending on sample type, preparation method, and detection system used.
For optimal Western blot detection of TOM1L1:
Sample preparation: Include phosphatase inhibitors in lysis buffers to preserve phosphorylation states, particularly when studying TOM1L1 regulation by Src kinases or ERBB2 signaling .
Gel percentage: Use 8-10% polyacrylamide gels to achieve good separation around the 40-55 kDa range where TOM1L1 migrates.
Transfer conditions: Optimize transfer time for proteins in the 40-55 kDa range (typically 1-1.5 hours at 100V or overnight at 30V).
Blocking: Use 5% BSA in TBST rather than milk when detecting phosphorylated forms of TOM1L1, as milk contains phosphoproteins that may increase background.
Antibody dilution: Start with a 1:1000 dilution for Western blot and adjust based on signal intensity and background .
Controls: Include positive controls such as HeLa cell lysates, which have been validated for TOM1L1 expression . For phospho-specific studies, include samples treated with phosphatase to confirm specificity.
To confirm the specificity of TOM1L1 antibodies:
Preblocking experiments: Incubate the antibody with its cognate antigen before immunostaining, which should abolish specific signal. This approach has been demonstrated effective in prior studies, where TOM1L1 was not detected by antibody preblocked by its cognate antigen .
siRNA knockdown: Transfect cells with TOM1L1-specific siRNA and confirm reduction in signal by Western blot or immunostaining.
Overexpression studies: Compare signal between cells overexpressing TOM1L1 versus control cells.
Peptide competition assays: Determine specificity by competing the antibody binding with increasing concentrations of the immunizing peptide.
Multiple antibody validation: Use different antibodies recognizing distinct epitopes of TOM1L1 to confirm the observed patterns.
TOM1L1 is co-amplified with ERBB2 and defines a subgroup of HER2+/ER+ tumors with early metastatic relapse . To study this relationship:
Analyze co-expression: Researchers can use dual immunostaining approaches to evaluate co-expression patterns of TOM1L1 and ERBB2 in breast cancer tissues.
Investigate invasion mechanisms: TOM1L1 enhances invasiveness of ERBB2-transformed cells through membrane-bound MT1-MMP-dependent activation of invadopodia . This can be studied using:
Invadopodia formation assays with fluorescent gelatin degradation
3D invasion assays in matrigel or collagen matrices
Live-cell imaging with fluorescently tagged TOM1L1 and MT1-MMP
Examine phosphorylation status: ERBB2 signaling leads to phosphorylation of TOM1L1 on Ser321, which promotes GAT-dependent association with TOLLIP and trafficking of MT1-MMP . Researchers can:
Use phospho-specific antibodies against Ser321
Employ phospho-mimetic (S321D) and phospho-dead (S321A) TOM1L1 mutants
Perform co-immunoprecipitation to track TOM1L1-TOLLIP interactions
Correlation with clinical outcomes: Analyze TOM1L1 expression in patient samples and correlate with metastatic progression and survival in ERBB2-positive breast cancers.
TOM1L1 exhibits both SRC-dependent and SRC-independent functions that can be studied through different experimental approaches:
For SRC-dependent functions:
Use SRC inhibitors like PP2 or dasatinib to block SRC-mediated phosphorylation of TOM1L1
Employ TOM1L1 mutants where Y457 is mutated to phenylalanine (Y457F) to prevent SRC phosphorylation
Conduct in vitro kinase assays with purified SRC and TOM1L1 to measure direct phosphorylation
Assess co-immunoprecipitation of TOM1L1 with SRC under various conditions
For SRC-independent functions (e.g., in ERBB2-driven invasion):
Use ERBB2 inhibitors (lapatinib, trastuzumab) to block ERBB2-mediated effects while maintaining SRC activity
Employ TOM1L1 mutations in the GAT domain to disrupt TOLLIP interaction while preserving SRC binding
Perform RNAi-mediated knockdown of TOLLIP to specifically inhibit the TOM1L1-TOLLIP-MT1-MMP trafficking pathway
Use MT1-MMP inhibitors to block downstream effects while maintaining TOM1L1-TOLLIP interactions
Comparative analysis:
Monitor cellular readouts (proliferation, invasion) in parallel experiments with SRC versus ERBB2 inhibition
Perform proteomics analysis of TOM1L1 interactors under conditions of SRC inhibition versus ERBB2 inhibition
While Src-mediated phosphorylation of TOM1L1 at Y457 is well-documented , ERBB2 signaling leads to phosphorylation at Ser321 . Researchers can explore additional regulatory mechanisms through:
Phosphoproteomic analysis:
Use mass spectrometry-based approaches to identify all phosphorylation sites on TOM1L1
Compare phosphorylation patterns after treatment with various growth factors or kinase inhibitors
Employ SILAC or TMT labeling for quantitative analysis of dynamic phosphorylation
Kinase prediction and validation:
Use in silico tools (NetPhos, GPS, etc.) to predict potential kinases for identified phosphorylation sites
Conduct in vitro kinase assays with purified kinases and TOM1L1
Employ specific kinase inhibitors to validate predictions in cellular models
Mutagenesis studies:
Generate phospho-dead and phospho-mimetic mutations at identified sites
Assess functional consequences through trafficking assays, protein-protein interaction studies, and cellular phenotypes
Use domain-specific mutants to determine functional relationships between phosphorylation and protein domains
Temporal dynamics:
Employ real-time imaging with phospho-specific biosensors to track TOM1L1 phosphorylation kinetics
Analyze temporal relationships between receptor activation, TOM1L1 phosphorylation, and trafficking events
The literature reveals an apparent contradiction: TOM1L1 negatively regulates SFK mitogenic signaling yet promotes invasiveness in ERBB2-positive breast cancer . Researchers can address this paradox through:
Context-dependent analysis:
Compare TOM1L1 function in PDGF versus ERBB2 signaling contexts
Analyze differential protein complexes formed by TOM1L1 in each context
Investigate cell type-specific effects (fibroblasts versus epithelial cells)
Domain-specific functions:
Signaling pathway integration:
Map how TOM1L1 differentially affects MAPK, PI3K, and other downstream pathways in different contexts
Use phosphoproteomic analysis to identify differential effects on the global phosphoproteome
Perform pathway inhibition studies to determine which downstream pathways are critical for each function
Temporal dynamics and localization:
Track TOM1L1 subcellular localization during PDGF versus ERBB2 signaling
Analyze temporal differences in TOM1L1 recruitment, phosphorylation, and function
Use optogenetic approaches to control TOM1L1 localization and analyze context-dependent functions
TOM1L1 promotes trafficking of MT1-MMP from endocytic compartments to invadopodia . Researchers can study this mechanism through:
Live-cell imaging approaches:
Use dual-color confocal microscopy with fluorescently tagged TOM1L1 and MT1-MMP
Employ TIRF microscopy to visualize events at the plasma membrane
Implement photoactivatable or photoconvertible MT1-MMP to track specific pools of the protease
Endosomal tracking:
Use endosomal markers (Rab5, Rab7, Rab11) to identify specific compartments involved in MT1-MMP trafficking
Perform live-cell imaging of TOM1L1, TOLLIP, and MT1-MMP with endosomal markers
Employ structured illumination or super-resolution microscopy for detailed visualization
Functional invadopodia assays:
Use fluorescent gelatin degradation assays to measure invadopodia activity
Correlate gelatin degradation with TOM1L1 and MT1-MMP localization
Implement TOM1L1 mutations (particularly S321 phospho-mutants) and assess effects on invadopodia formation and activity
Biochemical approaches:
Isolate invadopodia-enriched fractions and analyze TOM1L1 and MT1-MMP content
Perform proximity labeling (BioID, APEX) with TOM1L1 as bait to identify invadopodia-specific interactors
Use co-immunoprecipitation to track TOM1L1-TOLLIP-MT1-MMP complexes under various conditions
Researchers may observe TOM1L1 at different molecular weights ranging from 39-53 kDa . To address this variability:
Sample preparation considerations:
Ensure complete protein denaturation with sufficient SDS and heating
Include phosphatase inhibitors to preserve phosphorylation states
Use freshly prepared samples when possible, as degradation may generate lower molecular weight bands
Resolution optimization:
Use gradient gels (4-15%) to better resolve potential isoforms
Extend running time to improve separation in the 30-60 kDa range
Consider using Phos-tag acrylamide gels to separate phosphorylated forms
Analytical approaches:
Perform immunoprecipitation followed by mass spectrometry to identify the exact nature of different bands
Use phosphatase treatment to determine if higher molecular weight forms are due to phosphorylation
Compare antibodies targeting different epitopes to help identify specific isoforms
Controls and validation:
Include recombinant TOM1L1 protein as a molecular weight reference
Use lysates from cells overexpressing TOM1L1 alongside endogenous samples
Consider TOM1L1 knockdown samples to confirm specificity of all observed bands
When performing immunohistochemistry with TOM1L1 antibodies, researchers may encounter non-specific binding. To improve specificity:
Antibody validation:
Protocol optimization:
Detection system considerations:
Compare different detection systems (HRP-polymer, biotinylated secondary antibodies)
If using fluorescent detection, employ spectral unmixing to separate specific signal from autofluorescence
Consider amplification methods for weak signals (tyramide signal amplification)
Advanced approaches:
Implement multiplex immunostaining to correlate TOM1L1 with known markers
Use automated staining platforms to ensure consistency
Consider RNAscope or BaseScope in situ hybridization as complementary approaches to validate protein expression patterns
Given that TOM1L1 is co-amplified with ERBB2 and defines a subgroup of HER2+/ER+ tumors with early metastatic relapse , researchers could:
To investigate TOM1L1's contribution to metastatic processes, researchers could employ:
In vitro 3D models:
Organoid cultures from primary tumors
Spheroid invasion assays in collagen or matrigel
Microfluidic devices to study invasion through defined matrices
Co-culture systems with stromal and immune components
In vivo metastasis models:
Orthotopic xenograft models with ERBB2+ breast cancer cells
Patient-derived xenografts from ERBB2+ tumors
Genetic mouse models with conditional TOM1L1 expression
Intravital imaging to track invadopodia formation and metastatic spread
Systems for mechanistic studies:
CRISPR/Cas9-engineered cell lines with TOM1L1 mutations
Inducible TOM1L1 expression systems to study temporal effects
Domain-specific knock-in mutations to dissect functional regions
Dual recombinase systems for tissue-specific manipulation
Translational approaches:
Ex vivo culture of circulating tumor cells from patients
"Metastasis-on-a-chip" microfluidic devices
Correlation of TOM1L1 expression with circulating tumor DNA and other liquid biopsy parameters
Integration with immune infiltration data to explore relationships with immunosurveillance