MLANA plays a vital role in melanocyte biology:
Melanosome Biogenesis: Stabilizes GPR143, a GPCR critical for melanosome maturation, and regulates the expression, trafficking, and processing of PMEL (premelanosome protein), which is essential for stage II melanosome formation .
Transcriptional Regulation: Expression is tightly controlled by MITF (Microphthalmia-Associated Transcription Factor), which binds E-box motifs in the MLANA promoter .
| Key Protein Interactions | Role in Melanogenesis |
|---|---|
| PMEL | Structural scaffold for melanin deposition |
| TYR (Tyrosinase) | Catalyzes melanin synthesis |
| GPR143 | Melanosome organization |
| MITF | Transcriptional activation |
MLANA is a lineage-specific marker for melanocytes and melanoma cells, used in immunohistochemistry (e.g., Melan-A/MART-1 antibodies) to differentiate melanoma from other malignancies .
Prognostic Value: High MLANA expression correlates with better melanoma prognosis, potentially due to enhanced immune recognition .
MLANA-derived peptides (e.g., residues 26–35) are investigated in T-cell immunotherapy for melanoma, leveraging their high immunogenicity .
In clinical trials, adoptive T-cell therapy targeting MLANA has induced tumor regression in metastatic melanoma .
Regulatory Linkage: MLANA, SILV (PMEL17), and TYR share MITF-dependent promoters, forming a co-regulated transcriptional network in melanocytes .
BRAF Mutation Independence: MLANA expression in melanoma cell lines does not correlate with BRAF mutation status, suggesting MITF as the dominant regulator .
| Marker Sensitivity | Melanoma | Nevi |
|---|---|---|
| MLANA | 100% | 100% |
| HMB-45 | 85–90% | 70% |
| MITF | 95% | 95% |
Data aggregated from clinical studies .
Tissue Specificity: MLANA is selectively expressed in melanocytes (skin) and retinal pigment epithelium .
Cancer Expression: Retained in 95–100% of primary melanomas but lost in ~30% of metastatic cases, reflecting dedifferentiation .
MLANA is a melanoma antigen recognized by T cells that is predominantly localized to the cell membrane. Its expression is highly restricted to melanocytes, melanomas, and retinal pigment epithelium . The MLANA gene is located on chromosome 9, band p24.1, and contains multiple transcripts . Detection methods for MLANA expression include immunohistochemistry (IHC), immunofluorescence (IF), Western blotting (WB), and quantitative PCR targeting either the protein or mRNA. These techniques are essential for confirming MLANA's lineage-specific expression pattern, which makes it a valuable diagnostic marker for melanocytic lesions.
MLANA protein has been found to localize to vesicles, including melanosomes, suggesting a role in melanosome biogenesis . While its precise function remains to be fully elucidated, research indicates MLANA is involved in the morphogenesis of premelanosomes . To study MLANA's subcellular localization, immunofluorescence microscopy using specific antibodies such as E9Q4O XP® Rabbit mAb can be employed . The protein has a molecular weight of approximately 19 kDa as detected in Western blot analysis . Functional studies typically involve gene manipulation experiments followed by assessment of melanocyte function and melanosome formation.
MLANA gene expression is primarily regulated by the Microphthalmia-associated transcription factor (MITF), which is considered a master regulator of melanocyte development and function. MITF consensus recognition sites have been identified in the promoters/enhancers of MLANA, and these sites are occupied by endogenous MITF as demonstrated through chromatin immunoprecipitation . Reporter assays, quantitative-PCR, Northern, and Western analyses all suggest that MITF regulates MLANA expression within melanoma cells and melanocytes . This regulation places MLANA within a common transcriptional pathway with other melanocyte-specific markers like SILV/PMEL17/GP100.
Several validated methods are available for detecting MLANA in human samples:
| Method | Description | Recommended Reagents |
|---|---|---|
| Immunohistochemistry (IHC) | Detection of MLANA protein in tissue sections | CSB-PA998735, CSB-PA621968ESR1HU, E9Q4O XP® Rabbit mAb |
| Immunofluorescence (IF) | Visualization of MLANA localization in cells | CSB-PA621968ESR1HU, FITC-conjugated antibodies |
| Western Blotting (WB) | Detection of MLANA protein in cell/tissue lysates | CSB-PA621968ESR2HU, E9Q4O XP® Rabbit mAb |
| Real-time PCR | Quantification of MLANA mRNA expression | Linearity of signals over experimental ranges should be confirmed with standard curves |
| Northern Analysis | Detection of MLANA mRNA transcripts | Full-length reverse transcription-PCR-derived CDS for human MLANA |
Each method requires specific sample preparation protocols and experimental considerations that should be optimized for particular sample types and research questions .
Studies have suggested that expression patterns of MLANA may correlate with specific clinical behaviors of melanoma, with higher expression often associated with better prognosis . Research has demonstrated that MLANA reactivity largely overlaps with tyrosinase and HMB-45 staining patterns in melanoma specimens . When investigating this relationship, researchers typically employ tissue microarrays or large cohorts of primary melanoma specimens with follow-up clinical data. MLANA expression can be assessed using immunohistochemistry or mRNA expression analysis, with results correlated to clinicopathological parameters using appropriate statistical methods. Additionally, co-analysis with other melanoma markers such as MITF and SILV provides a more comprehensive understanding of the molecular phenotype and its clinical implications .
MLANA has been identified as an antigen recognized by tumor-infiltrating lymphocytes , making it valuable for immunotherapy development. It was originally cloned by two separate groups using melanoma-reactive cytotoxic T lymphocytes to screen cDNA libraries derived from melanoma cells . This has led to its incorporation in vaccine protocols aimed at immunotherapy for melanoma . Dramatic melanoma regressions have been reported for patients undergoing intensive immunotherapy directed against MLANA and SILV . For immunotherapy research, consider these methodological approaches:
Isolation and expansion of MLANA-specific T cells from patient samples
Development of MLANA-based vaccine constructs
Generation of T cell receptors targeting MLANA epitopes
Evaluation of immune responses using functional assays such as ELISpot or cytotoxicity assays
When designing such studies, it's essential to consider HLA restriction of MLANA epitopes and potential immune escape mechanisms.
Several experimental models are suitable for studying MLANA function:
| Model Type | Examples | Applications |
|---|---|---|
| Cell Lines | UACC-62, A549, melanoma cell lines | Expression studies, protein localization, functional assays |
| Primary Cells | Human melanocytes | Normal MLANA function studies |
| Tissue Samples | Human melanoma specimens, normal skin | Expression correlation, clinical associations |
| Genetic Models | CRISPR-modified cell lines, transgenic mice | Loss/gain of function studies |
| Single-cell Models | scRNA-seq of melanocytes/melanomas | Heterogeneity and developmental studies |
Western blot analysis has shown differential MLANA expression across various cell lines, with melanoma cells showing highest expression levels . When selecting an appropriate model, consider the specific research question, required complexity, and translational relevance to human biology or disease.
MLANA expression is tightly correlated with other melanocyte-specific genes, particularly MITF and SILV/PMEL17/GP100. Analysis of primary human melanomas has demonstrated a tight correlation in their expression levels in clinical tumor specimens . This correlation is rooted in transcriptional regulation, as MITF has been shown to regulate both MLANA and SILV expression . To investigate these interactions:
Perform co-expression analyses using quantitative-PCR, Northern blotting, or Western analysis
Use chromatin immunoprecipitation to identify transcription factor binding
Employ reporter assays with MLANA promoter constructs
Analyze protein and mRNA levels across panels of melanoma cell lines and primary melanocytes
Such multi-level analyses can reveal the hierarchical organization of the melanocyte gene expression program and identify key regulatory nodes.
The Human Cell Atlas (HCA) initiative demonstrates how single-cell technologies can revolutionize our understanding of genes like MLANA in specific cellular contexts . Single-cell RNA sequencing (scRNA-seq) has profiled hundreds of millions of human cells across organs, diseases, and developmental stages . The SCimilarity framework developed under HCA enables queries of cell profiles across diverse studies to identify transcriptionally similar cell states . For MLANA research, this allows:
Identification of rare MLANA-expressing cell populations
Mapping of MLANA expression changes during melanocyte development
Correlation of MLANA with other markers across different tissue contexts
Comparison between in vivo MLANA-expressing cells and in vitro models
The integration of multiple data modalities, including single-cell transcriptome, epigenome, proteome, and immune repertoire sequencing, as well as spatial transcriptomics, provides comprehensive cellular characterization .
Studying MLANA presents several technical challenges:
For Western blotting, experimental validation has confirmed a 19 kDa band corresponding to MLANA protein . For real-time PCR, standard curves should be generated for all primer sets to confirm linearity of signals over experimentally measured ranges . These technical considerations are crucial for obtaining reliable and reproducible results.
When designing studies investigating MLANA in clinical melanoma samples, consider:
Sample selection: Include diverse melanoma subtypes, stages, and appropriate controls
Technical validation: Validate findings using complementary techniques (IHC, IF, WB, PCR)
Standardization: Use consistent protocols for sample processing and analysis
Clinical correlation: Collect comprehensive patient data for meaningful clinicopathological analyses
Heterogeneity assessment: Sample multiple regions of tumors when possible
Statistical planning: Determine appropriate sample sizes through power calculations
Data analysis: Apply appropriate statistical methods for interpreting expression patterns
Proper experimental design with attention to these factors generates robust, reproducible, and clinically relevant findings on MLANA expression in normal and pathological conditions.
Melan-A was discovered as an antigen recognized by tumor-infiltrating cytotoxic T cells from a melanoma patient . This discovery highlighted its potential as a marker for melanoma, a type of cancer that arises from melanocytes. Due to its specific expression in melanocytes and melanoma cells, Melan-A is widely used in pathology to diagnose and classify melanoma .
Pathologists use Melan-A primarily for the diagnosis and classification of melanoma. The presence of Melan-A in a tissue sample can help distinguish melanoma from other types of cancer or noncancerous conditions that may appear similar under a microscope . However, it is important to note that Melan-A expression is not exclusive to melanoma and can also be found in tumors of the adrenal gland, some types of lymphoma, and certain sarcomas . Therefore, the expression of Melan-A must be considered alongside other test results to reach a definitive diagnosis.
The detection of Melan-A in tissue samples is typically performed using a technique called immunohistochemistry (IHC). In this process, a tissue sample, such as a biopsy, is treated with antibodies that specifically bind to Melan-A. The bound antibodies are then visualized using various staining methods, allowing pathologists to identify Melan-A-expressing cells .
Recombinant Melan-A refers to the protein produced through recombinant DNA technology, which involves inserting the gene encoding Melan-A into a host organism, such as bacteria or yeast, to produce the protein in large quantities. This recombinant protein can be used in various research and diagnostic applications, including the development of antibodies and the study of melanoma biology .