The antibody is optimized for enzymatic detection in assays requiring high sensitivity:
The antibody enables investigations into LAMTOR1’s roles in:
Lysosomal Trafficking: LAMTOR1 anchors the Ragulator complex to lysosomes, regulating mTORC1 activation and nutrient sensing . Studies using this antibody have demonstrated its utility in mapping LAMTOR1’s interaction with TRPML1 and BORC complexes .
Immunotherapy: LAMTOR1 promotes PD-L1 lysosomal degradation, enhancing anti-PD-1 therapy efficacy in non-small cell lung cancer (NSCLC) . The antibody facilitates quantification of LAMTOR1 levels in tumor lysates.
Neuroscience: LAMTOR1 modulates synaptic plasticity by inhibiting TRPML1-mediated calcium release, impacting learning and memory .
Immune Cell Migration: LAMTOR1 interacts with MPRIP to regulate myosin II activity, critical for leukocyte migration .
LAMTOR1 (also known as p18, p27RF-Rho, C11orf59, PDRO) is an 18 kDa protein that acts as a key component of the pentameric Ragulator complex. It is directly responsible for anchoring the Ragulator complex to the lysosomal membrane where it coordinates metabolic signaling pathways with nutrient availability . LAMTOR1 plays multiple crucial roles in cellular function:
Amino acid sensing and activation of mTORC1 signaling
Regulation of lysosomal biogenesis and trafficking
Modulation of endosomal receptor recycling
Involvement in MAPK signaling pathway through recruitment of components to late endosomes
Regulation of cholesterol homeostasis by controlling LDL uptake and cholesterol release from late endosomes/lysosomes
The downregulation of LAMTOR1 affects lysosomal activation, leading to aberrant lysosomal catabolism that produces excessive reactive oxygen species, triggering p53-dependent cell cycle arrest and apoptosis .
LAMTOR1 Antibody, HRP conjugated has been validated for ELISA applications . When working with this antibody, researchers should consider:
Protein detection limit: The antibody can detect endogenous levels of LAMTOR1
Sample types: Effective for human samples (species reactivity: Human)
Recommended dilutions: Follow manufacturer guidelines for optimal concentration
Detection system: Being HRP-conjugated, this antibody eliminates the need for secondary antibody incubation, providing direct colorimetric or chemiluminescent detection
For other applications such as Western Blotting, Immunoprecipitation, or Immunofluorescence, consider alternative LAMTOR1 antibodies specifically validated for those techniques .
To maintain antibody integrity and performance:
Avoid repeated freeze-thaw cycles which can degrade antibody quality
Working solution preparation: Dilute only the amount needed for immediate use
Storage buffer composition: The antibody is provided in a buffer containing 50% Glycerol, 0.01M PBS, pH 7.4, with 0.03% Proclin 300 as a preservative
Long-term stability: Follow manufacturer's expiration date guidelines
When handling the antibody, use sterile techniques to prevent contamination and wear appropriate personal protective equipment due to the presence of Proclin 300.
For optimal ELISA performance:
Coating concentration: Start with standard protocols (typically 1-10 μg/ml of capture antibody)
Blocking buffer optimization: Test different blocking agents (BSA, casein, commercial blockers) to minimize background
Sample preparation: Ensure proper cell lysis and protein extraction methods that preserve LAMTOR1's native structure
Antibody dilution: Perform titration experiments to determine optimal working concentration
Incubation conditions: Optimize time (typically 1-2 hours) and temperature (room temperature or 4°C)
Detection system: Select appropriate substrate (TMB, ABTS, or chemiluminescent substrates) based on sensitivity requirements
Include proper controls:
Positive control: Recombinant LAMTOR1 protein
Negative control: Samples from LAMTOR1 knockout or knockdown models
Background control: No primary antibody
A sandwich ELISA approach might require a complementary capture antibody recognizing a different epitope of LAMTOR1.
LAMTOR1 primarily localizes to:
For visualization studies:
Immunofluorescence techniques using LAMTOR1-specific antibodies
Co-localization studies with:
Live-cell imaging approaches to track dynamic changes in LAMTOR1 localization
Subcellular fractionation followed by immunoblotting to quantify LAMTOR1 distribution
When visualizing LAMTOR1, consider that its distribution may change under different cellular conditions, such as nutrient availability or stress.
LAMTOR1 directly interacts with and inhibits the transient receptor potential mucolipin 1 (TRPML1) channel, which mediates lysosomal Ca2+ release . This represents a novel function independent of mTORC1 regulation.
Methodological approaches to study this interaction:
Structure-function analysis:
Functional studies in neurons:
Experimental paradigm:
Track lysosomal trafficking using LysoTracker or LAMP1-YFP labeling
Monitor calcium dynamics using calcium-sensitive dyes or genetically encoded calcium indicators
Use pharmacological tools (ML-SI1, ML-SA1) to modulate TRPML1 activity
Engineer LAMTOR1 constructs with domain deletions to disrupt specific interactions
The data indicate LAMTOR1 restricts lysosomal trafficking in dendrites through tonic inhibition of TRPML1 activity, establishing a novel regulatory mechanism for lysosomal positioning and function.
To validate antibody specificity:
Genetic validation approaches:
Experimental validation workflow:
Generate LAMTOR1-depleted samples through knockdown or knockout
Compare antibody signal between control and LAMTOR1-depleted samples
Include rescue conditions to confirm specificity
Analyze by multiple detection methods (Western blot, immunofluorescence)
Controls to include:
Positive control: Wild-type cells or tissues expressing LAMTOR1
Negative control: LAMTOR1 knockout cells
Specificity control: LAMTOR1 knockdown with rescue by shRNA-resistant constructs
Technical control: Secondary antibody only
Quantification methods:
Densitometry analysis of Western blots
Fluorescence intensity measurements in immunofluorescence
Statistical comparison between experimental groups
In published studies, researchers validated LAMTOR1 knockdown efficiency by demonstrating loss of LAMTOR1 signal and restoration with rescue constructs , confirming antibody specificity.
To study LAMTOR1's protein interactions:
Co-immunoprecipitation (Co-IP) approaches:
Structure-function studies:
Proximity labeling techniques:
BioID or APEX2 fusions with LAMTOR1
TurboID for faster labeling kinetics
MS analysis of biotinylated proteins
Fluorescence-based interaction studies:
FRET/BRET between LAMTOR1 and interaction partners
Fluorescence complementation assays
Live-cell imaging of co-localization
In vitro binding assays:
Pull-down with recombinant proteins
Surface plasmon resonance
Isothermal titration calorimetry
Published data demonstrate successful use of co-IP techniques with tagged LAMTOR1 and TRPML1 constructs to study their interactions, revealing that the N-terminal domain of LAMTOR1 is critical for binding to TRPML1 .
To investigate LAMTOR1's role in lysosomal trafficking:
Live-cell imaging approaches:
Quantitative analysis methods:
Genetic manipulation strategies:
Pharmacological interventions:
Experimental design considerations:
Cell-type specific effects (neurons vs. other cell types)
Compartment-specific analysis (dendrites vs. cell body)
Correlation with lysosomal properties (acidity, size)
Research has shown that LAMTOR1 knockdown increases the velocity and travel distance of lysosomes with higher fluorescent intensity (correlating with higher acidity), an effect that can be reversed by expressing shRNA-resistant LAMTOR1 .
Distinguishing between these functions requires careful experimental design:
Comparative inhibition approaches:
LAMTOR1 knockdown/knockout vs. mTORC1 inhibition (rapamycin, Torin1)
Analysis of divergent phenotypes that indicate mTORC1-independent functions
Domain-specific mutant analysis:
Generate LAMTOR1 mutants that selectively disrupt:
Interaction with Ragulator components (mTORC1-dependent)
Binding to TRPML1 or other partners (potentially mTORC1-independent)
Compare functional outcomes of each mutation
Epistasis experiments:
Combined manipulation of LAMTOR1 and mTORC1
If phenotypes are additive, this suggests independent functions
If no additive effect, this suggests shared pathway
Readout selection:
mTORC1-dependent processes: S6K phosphorylation, 4EBP1 phosphorylation
mTORC1-independent: TRPML1-mediated calcium release, lysosomal trafficking
Temporal analysis:
Acute vs. chronic manipulation
Time-course studies to separate immediate vs. delayed effects
The research shows LAMTOR1 regulation of TRPML1-dependent lysosomal trafficking occurs independently of mTORC1, as demonstrated by specific inhibition of this pathway without affecting mTORC1 signaling .
When using this antibody, researchers may encounter:
Non-specific binding issues:
Optimize blocking conditions (concentration, type of blocking agent)
Adjust antibody dilution through titration experiments
Increase washing stringency (duration, buffer composition)
Signal strength optimization:
Adjust substrate incubation time for HRP detection
Select appropriate substrate based on required sensitivity
Optimize sample protein concentration
Detection limitations:
HRP conjugation may affect sensitivity in certain applications
Consider signal amplification systems for low-abundance targets
Ensure proper handling to prevent HRP activity loss
Background reduction strategies:
Pre-adsorb antibody with non-specific proteins
Optimize incubation temperature and duration
Use detergents appropriate for your application
Each experimental system may require specific optimization to achieve optimal signal-to-noise ratio.
For reliable quantification:
Sample normalization approaches:
Housekeeping protein normalization (β-actin, GAPDH, tubulin)
Total protein normalization (Ponceau, REVERT, Stain-Free technology)
Absolute quantification using recombinant protein standards
Technical standardization:
Consistent protein extraction methods
Standard curve generation for each experiment
Use of biological and technical replicates
Image acquisition standardization:
Consistent exposure settings
Linear dynamic range verification
Regular calibration of imaging equipment
Data analysis considerations:
Background subtraction methods
Statistical approaches for comparing expression levels
Reporting relative vs. absolute expression levels
Standardized protocols ensure reproducibility and allow meaningful comparison between experimental conditions and across different studies.