The MYCL1 (v-myc myelocytomatosis viral oncogene homolog 1) protein, also known as L-Myc, is a proto-oncogene transcription factor belonging to the MYC family. It regulates cellular processes such as proliferation, differentiation, and apoptosis. The MYCL1/L-Myc antibody is a research tool designed to detect and study this protein in various biological systems.
Monoclonal antibodies (mAbs) like MYCL1/L-Myc are engineered to target specific epitopes of antigens. Their structure includes:
Fragment antigen-binding (Fab) domains: Recognize and bind MYCL1 protein .
Fragment crystallizable (Fc) domain: Mediates effector functions, such as immune system activation .
Direct binding: The antibody’s variable regions (VH and VL) form a complementary fit to MYCL1’s epitope .
Assay compatibility: Requires pairing with complementary antibodies for sandwich ELISA or Western blot detection .
The MYCL1/L-Myc antibody is versatile, with applications spanning:
Amplification and Expression: MYCL1 amplification occurs in ~6.5% of SCLC cases, correlating with aggressive tumor phenotypes .
Therapeutic Targeting: BET bromodomain inhibitors (e.g., JQ1) suppress MYCL1 expression, inducing apoptosis in SCLC cells .
MYCL1 (L-Myc) is a member of the MYC family of proto-oncogene transcription factors belonging to the helix-loop-helix basic leucine zipper (HLH bzip) family. Like other MYC family members, MYCL1 heterodimerizes with partner proteins to bind to the DNA consensus site 5' CACGTG 3' . MYCL1 is implicated in controlling a wide range of cellular processes from cellular proliferation to apoptosis .
The gene was originally isolated from small cell lung carcinoma (SCLC) samples, and significant research has identified its involvement in this aggressive cancer type . Recent studies have found that MYCL1 amplification occurs in approximately 6.5% of SCLC cases, making it a potential biomarker and therapeutic target . Understanding MYCL1's role in oncogenesis is critical for developing targeted therapies, particularly for aggressive cancers like SCLC.
Based on validated applications from multiple sources, MYCL1 antibodies demonstrate utility in several key research techniques:
Methodological approach: For optimal results in these applications, researchers should determine appropriate dilutions for each experimental setup. For Western blot, reducing conditions using Immunoblot Buffer Group 2 have been validated . For ICC, a protocol using 10 μg/mL primary antibody incubation for 3 hours at room temperature followed by appropriate secondary antibody has demonstrated specific staining .
Validating antibody specificity is critical for ensuring reliable experimental results. For MYCL1 antibodies, several methodological approaches are recommended:
Positive control selection: Use nuclear extracts from validated cell lines showing endogenous MYCL1 expression (HeLa, A549, JEG-3, and NIH-3T3 have been confirmed)
Molecular weight verification: Confirm detection at the expected molecular weight (~40 kDa for MYCL1)
Cellular localization pattern: Verify appropriate nuclear and cytoplasmic distribution via immunocytochemistry
Inducible expression systems: As demonstrated in published research, compare cells with doxycycline-inducible MYCL1 expression versus controls to confirm antibody specificity
Cross-reactivity testing: Test antibody performance across species when using antibodies designed to detect both human and mouse MYCL1
Successful Western blot detection of MYCL1 requires attention to several technical parameters:
Sample preparation: Nuclear extracts yield better results than whole cell lysates due to the nuclear localization of MYCL1
Buffer conditions: Immunoblot Buffer Group 2 under reducing conditions has been validated for MYCL1 detection
Antibody concentration: 1 μg/mL of MYCL1 Antigen Affinity-purified Polyclonal Antibody has shown specific detection
Secondary antibody selection: HRP-conjugated Anti-Goat IgG Secondary Antibody (for goat-derived primary antibodies) or appropriate species-matched secondary antibody
Controls: Include both positive controls (cell lines with known MYCL1 expression) and negative controls (cell lines with low/no MYCL1 expression or siRNA knockdown samples)
For experimental troubleshooting, researchers should note that MYCL1 expression can be influenced by cellular conditions. For example, research has shown that doxycycline treatment to induce MYCL1 expression can be used to generate positive controls .
Proper storage and handling are essential for maintaining antibody activity:
Storage temperature: Store at -20 to -70°C for long-term stability (up to 12 months from date of receipt)
Short-term storage: For reconstituted antibodies, store at 2 to 8°C under sterile conditions for up to 1 month
Medium-term storage: For reconstituted antibodies, maintain at -20 to -70°C under sterile conditions for up to 6 months
Freeze-thaw cycles: Use a manual defrost freezer and avoid repeated freeze-thaw cycles which can degrade antibody performance
Reconstitution: Follow manufacturer's specific reconstitution instructions as they may vary by antibody format
Methodological tip: Aliquot antibodies upon initial reconstitution to minimize freeze-thaw cycles and extend shelf life.
MYCL1 amplification has emerged as an important molecular feature in SCLC:
Prevalence: Research has identified MYCL1 amplification in approximately 6.5% of SCLC cases
Fusion events: Some positive cases show MYCL1 gene amplification combined with fusion events, creating novel oncogenic drivers
Protein expression: Studies have found that 6.5% of SCLC cases show positive L-Myc protein expression by immunohistochemistry
Relationship to other MYC family members: Interestingly, no overlap was observed between cases with c-Myc protein expression (8.7% of cases) and those with L-Myc expression, suggesting distinct oncogenic pathways
Therapeutic implications: MYCL1-positive cases may respond to specific therapies like alisertib, with one case report documenting near-complete response in a patient with MYCL1-JAZF1 fusion
Methodological approach for characterization: For comprehensive characterization of MYCL1 status in SCLC samples, researchers should employ a multi-modal approach combining FISH for gene amplification detection, IHC for protein expression analysis (using validated antibodies), and potentially RNA-seq for fusion transcript identification .
Mass spectrometry (MS) offers powerful complementary approaches to antibody-based detection:
De novo sequencing: MS can provide direct protein sequence information, useful for confirming antibody specificity or identifying novel MYCL1 variants
Post-translational modifications: MS can detect and characterize PTMs on MYCL1 that might not be detectable with available antibodies
Quantitative analysis: MS provides absolute quantification that complements the semi-quantitative nature of antibody-based methods
Low-abundance detection: Advanced MS approaches can detect MYCL1 at low abundance where antibody sensitivity might be insufficient
Clinical applications: MS methods have been used to detect monoclonal antibodies directly from serum samples, suggesting potential for detecting MYCL1-related biomarkers in patient samples
Technical approaches: Multiple complementary proteases combined with dual fragmentation schemes (stepped HCD and EThcD) on all peptide precursors can achieve comprehensive sequence coverage . For protein detection from complex samples, both bottom-up (enzymatic digestion followed by LC-MS/MS) and top-down (intact protein analysis) approaches provide complementary information .
IHC with MYCL1 antibodies requires specific methodological considerations:
Antibody selection: Select antibodies validated for IHC applications with demonstrated specificity (e.g., anti-L-Myc antibody ab28739 has been validated for FFPE tissues)
Sample preparation: Standard FFPE processing with 10% formalin fixation followed by deparaffinization and antigen retrieval
Blocking and antibody incubation: Blocking with 1% BSA followed by overnight incubation at 4°C with primary antibody at optimized dilution (e.g., 1:200 for the above antibody)
Detection system: Appropriate secondary antibody (e.g., Poly-HRP) followed by DAB visualization
Interpretation criteria: Establish clear positivity thresholds (e.g., ≥10% cells showing brown color defined as "positive expression")
Controls: Include both positive and negative controls, with PBS substitution for primary antibody serving as negative control
Blinded evaluation: Have multiple pathologists evaluate slides independently to ensure reliable scoring
Research has revealed MYCL1's involvement in metabolic regulation, particularly in cancer cells. To effectively study this function:
Model system selection: Use cell lines with inducible expression of MYC family members (MYC, MYCN, MYCL) to compare their differential effects
Metabolic parameter measurement: Employ extracellular acidification rate (ECAR) measurements to assess glycolytic activity as influenced by MYCL1
Experimental validation: Include oligomycin treatment to assess maximal glycolytic capacity in cells with altered MYCL1 expression
Molecular pathway analysis: Investigate MYCL1's interaction with other transcription factors (e.g., NF-κB) in regulating metabolic genes
Gene expression analysis: Examine changes in glycolytic gene expression and transporters like MCT1 following MYCL1 induction
Experimental approach: A comprehensive study would include Western blot confirmation of MYCL1 induction, ECAR measurements to assess functional impact on glycolysis, and molecular analysis of target gene expression using RT-qPCR or RNA-seq .
When incorporating MYCL1 antibodies in autoantibody panel studies:
Panel composition: Include MYCL1 alongside other cancer-associated antigens such as p53, c-myc, HER2, NY-ESO-1, and others that have shown diagnostic potential
Sample type selection: Use serum samples, being mindful of storage conditions to preserve antibody integrity
Detection method optimization: Develop reliable ELISA or multiplex bead assays with optimized blocking to minimize background
Statistical validation: Determine sensitivity and specificity of the panel for specific cancer types rather than relying on single autoantibody performance
Population considerations: Account for demographics, cancer stage, and potential confounding conditions when establishing reference ranges
Methodological approach: Research has indicated that autoantibody panels show higher sensitivity than individual autoantibodies. For example, panels including multiple autoantibodies (p53, c-myc, HER2, NY-ESO-1, CAGE, MUC1, GBU4-5) have demonstrated high sensitivity for squamous cell lung cancer .
To ensure valid comparisons between different MYCL1 antibodies:
Side-by-side validation: Test multiple antibodies simultaneously on identical samples and under identical conditions
Epitope mapping: Understand the specific epitopes recognized by each antibody (e.g., Gly16-Asn139 region of human MYCL1/L-Myc for R&D Systems antibodies)
Isotype consideration: Note differences in antibody isotype and host species, as these affect secondary antibody selection and potential for cross-reactivity
Application-specific validation: Validate each antibody specifically for the intended application rather than assuming cross-application performance
Cross-referencing published literature: Review publications that have used specific antibody clones to verify performance characteristics
Experimental approach: Create a validation panel with known positive and negative controls, and systematically test each antibody across relevant applications while documenting sensitivity, specificity, optimal concentrations, and background levels.
Several promising clinical applications for MYCL1 antibodies are emerging:
Cancer subtyping: Identifying MYCL1-positive SCLC for potential targeted therapy approaches
Liquid biopsy development: Detecting circulating MYCL1 or anti-MYCL1 autoantibodies as minimally invasive biomarkers
Theranostic approaches: Using anti-MYCL1 antibodies to both identify patients and deliver therapeutic agents
Immunotherapy stratification: Correlating MYCL1 status with immunotherapy response, particularly given observations of lymphocyte infiltration in MYCL1-positive cases
Multi-marker panels: Incorporating MYCL1 detection in comprehensive molecular profiling panels for precision oncology
Research needs: Larger clinical studies are required to validate these applications. One study noted: "Although the sample size of our study on postoperative specimens for SCLC is relatively large, it is still insufficient and the MYCL1-and MYC-positive samples remain few." Future research should include larger patient cohorts with diverse demographics and disease stages.
The field continues to evolve with several promising technical advancements:
Recombinant antibody technology: Development of recombinant MYCL1 antibodies with improved batch-to-batch consistency
Single-domain antibodies: Engineered smaller antibody formats that may access epitopes unavailable to conventional antibodies
MS-guided epitope selection: Using mass spectrometry to identify optimal epitopes for antibody development
Multimodal detection systems: Combining antibody-based detection with orthogonal methods like MS or PCR for improved sensitivity and specificity
Machine learning approaches: Applying computational methods to optimize antibody design and performance prediction
Future research should focus on developing antibodies specifically designed for challenging applications like fixed tissue IHC, where current MYCL1 antibodies may show limited performance or require extensive optimization.