Recombinant Human Membrane-spanning 4-domains subfamily A member 10 (MS4A10), also known as CD20L7 or MS4A9, is a synthetic protein derived from the human MS4A10 gene. It belongs to the MS4A family of transmembrane proteins, characterized by four hydrophobic domains and cytoplasmic termini . These proteins are typically expressed in immune cells and non-hematopoietic tissues, with roles in signaling, differentiation, and disease susceptibility . Recombinant MS4A10 is produced via cell-free expression systems or bacterial/yeast hosts, with purity ≥85% as validated by SDS-PAGE .
MS4A10 exhibits tissue-specific expression, with notable presence in:
Recombinant MS4A10 is utilized in diverse experimental workflows, including:
Immunohistochemistry: MS4A10 antibodies (e.g., PA5-53233) detect strong cytoplasmic-membranous staining in testicular germ cells .
RNA Interference: siRNA targeting MS4A10 enables functional knockdown in immune cells .
While MS4A10’s precise function remains unclear, family members (e.g., MS4A1, MS4A4A) regulate calcium signaling, immune cell activation, and tumor microenvironments . Emerging evidence links MS4A10 to:
Ion channel activity: Likely involvement in calcium signaling, analogous to MS4A4A and MS4A12 .
Immune modulation: May influence tumor-associated macrophage (TAM) polarization, impacting immunotherapy efficacy .
MS4A10’s role in cancer progression and immune regulation positions it as a potential biomarker or therapeutic target:
MS4A10 (membrane-spanning 4-domains, subfamily A, member 10) is a member of the MS4A gene family encoding proteins with at least four potential transmembrane domains and N- and C-terminal cytoplasmic domains encoded by distinct exons. The protein contains structural features common to the MS4A family, which are related to cell surface proteins like CD20 and the high-affinity IgE receptor beta chain (FcεRIβ) . MS4A10 is clustered with other MS4A genes along an approximately 600-kb region on Chromosome 11q12 . Unlike some other MS4A proteins, MS4A10 transcripts are relatively rare and not commonly detected among hematopoietic cells and most nonlymphoid tissues, suggesting tissue-specific expression patterns .
MS4A10 is one of at least 12 identified human MS4A gene family members (MS4A1-MS4A12) . The MS4A family currently includes 24 distinct human and mouse genes that share common structural features and similar intron/exon splice boundaries . While most MS4A genes encode proteins with at least four transmembrane domains, some variants like MS4A6E contain only two transmembrane domains . Unlike MS4A2, MS4A4A, MS4A6A, MS4A7, and other family members that show differential expression in various tissues and correlation with disease states (such as lung cancer), MS4A10 shows a more restricted expression pattern . Like other MS4A family members, MS4A10 is likely a component of oligomeric cell surface complexes involved in signal transduction pathways in specific cell lineages .
MS4A10 (NCBI Gene ID: 341116) is located in the MS4A gene cluster on human chromosome 11q12, an area spanning approximately 600 kb that contains multiple MS4A family members . Unlike some other MS4A family genes that are widely expressed in hematopoietic cells, MS4A10 transcripts are rare and show a more restricted expression pattern . The gene's expression can be analyzed through resources like the Allen Brain Atlas, BioGPS Human Cell Type and Tissue Gene Expression Profiles, and CCLE Cell Line Gene CNV Profiles . According to functional association data, MS4A10 has 942 functional associations with biological entities spanning 8 categories, including molecular profiles, functional terms, chemicals, diseases, phenotypes, structural features, cell types/tissues, and other genes/proteins .
For effective MS4A10 knockdown, siRNA-mediated gene silencing provides a reliable approach. When conducting knockdown experiments:
Select a validated siRNA oligos set targeting human MS4A10 (e.g., targeting accession number NM_206893.4) .
Consider using a set of multiple siRNA constructs (typically 3-4 different sequences) to increase the probability of achieving significant knockdown, as the effect of individual siRNAs can vary by cell type and experimental conditions .
Transfect the siRNA oligos at appropriate concentrations (typically 20-50 nM) using standard transfection reagents like Lipofectamine for transient expression .
For stable knockdown, lentiviral vectors carrying shRNA sequences targeting MS4A10 may be more appropriate .
Always include appropriate controls such as scrambled siRNA sequences to assess specificity .
Assess knockdown efficiency by qPCR at least 48 hours post-transfection, with monitoring possible up to 72 hours for optimal results .
Verify protein knockdown by western blot if antibodies are available.
For experiments requiring long-term knockdown, consider using CRISPR-Cas9 technology as an alternative to siRNA approaches.
For optimal stability and functionality of recombinant MS4A10 protein:
Store lyophilized protein at -70°C for long-term storage or at -20°C for short-term storage .
Maintain reconstituted protein at concentrations above 20μM to prevent degradation .
Upon reconstitution, divide the protein into small aliquots to avoid repeated freeze-thaw cycles, which can reduce activity by approximately 5% per cycle .
When handling transmembrane proteins like MS4A10, use appropriate detergents or amphipols to maintain proper protein folding and prevent aggregation.
Always perform stability tests under your specific laboratory conditions, as membrane proteins can be particularly sensitive to buffer composition, pH, and temperature fluctuations.
Consider adding protease inhibitors to prevent degradation during experimental procedures.
For functional assays, verify protein activity promptly after reconstitution for best results.
When selecting an expression system for recombinant human MS4A10 production, consider the following options based on experimental needs:
| Expression System | Advantages | Limitations | Best For |
|---|---|---|---|
| Mammalian (HEK293, CHO) | Native post-translational modifications, proper folding of complex transmembrane domains | Higher cost, lower yield | Functional studies, antibody production |
| Insect (Sf9, Hi5) | Higher yield than mammalian, supports most post-translational modifications | Some differences in glycosylation patterns | Structural studies, high-yield requirements |
| E. coli | High yield, cost-effective, rapid | Limited post-translational modifications, refolding often required | Domain studies, peptide production |
| Cell-free systems | Avoids toxicity issues, rapid, control over redox conditions | Lower yield, higher cost | Difficult-to-express variants, rapid screening |
While the specific role of MS4A10 in cancer is not fully characterized in the provided search results, insights can be drawn from studies of the broader MS4A family:
Several MS4A family members show altered expression in lung cancer tissues compared to normal tissues. For example, MS4A2, MS4A4A, MS4A4E, MS4A6A, MS4A6E, MS4A7, MS4A8, MS4A14, and MS4A15 were significantly decreased in lung cancer tissues . Among these, MS4A2, MS4A8, and MS4A15 showed significant correlation with the pathological stage of lung cancer patients . Lower mRNA expression levels of MS4A2, MS4A4E, and MS4A15 were associated with poorer prognosis in lung cancer patients .
For MS4A10 specifically, researchers should investigate:
Expression patterns across different cancer types using resources like the CCLE Cell Line Gene CNV Profiles
Correlation with prognostic indicators in various cancer types
Potential associations with immune infiltration signatures, as the MS4A family functions are primarily involved in immune-related pathways
Possible roles in specific signaling cascades related to cell proliferation or immune response
Based on its structural similarity to other MS4A family members, MS4A10 likely functions in oligomeric cell surface complexes involved in signal transduction . To study MS4A10 signaling pathways:
Perform co-immunoprecipitation experiments to identify protein interaction partners of MS4A10
Use phosphoproteomics approaches to identify downstream signaling events following MS4A10 activation or inhibition
Employ pathway analysis tools to map MS4A10 interactions using the 942 functional associations spanning 8 biological entity categories reported for this protein
Investigate if MS4A10, like other family members, influences immune-related pathways, as several MS4A proteins correlate with immune cell infiltration (B cells, CD8+ T cells, CD4+ T cells, macrophages, neutrophils, and dendritic cells)
Conduct comparative signaling studies with other MS4A family members that have better-characterized pathways
Use RNA-seq analysis after MS4A10 knockdown or overexpression to identify affected gene networks
A systems biology approach combining multiple techniques will likely yield the most comprehensive understanding of MS4A10 signaling networks.
The MS4A family shows significant connections to immune system function, with several members expressed predominantly in immune cells . While MS4A10 specifically shows limited expression in hematopoietic cells compared to other family members , investigating its potential immune functions remains important:
Expression analysis indicates that unlike other MS4A genes, MS4A10 transcripts are rare in hematopoietic cells, suggesting a potentially specialized function in specific immune cell subsets or non-immune tissues
Several MS4A family members (including MS4A2, MS4A4A, MS4A6A, MS4A7) show correlation with immune cell infiltration in cancer, suggesting potential immunomodulatory roles
The founding members of the MS4A family (CD20 and FcεRIβ) are critical immune regulators, with CD20 important in B cell function and FcεRIβ in allergy responses
To study MS4A10's potential immune functions, researchers should:
Perform single-cell RNA-seq to identify specific immune cell populations expressing MS4A10
Assess changes in immune parameters following MS4A10 knockdown in relevant cell types
Investigate potential associations between MS4A10 polymorphisms and immune-related disorders
Examine MS4A10 expression changes during immune activation or differentiation
As a protein with multiple transmembrane domains, studying MS4A10 requires specialized approaches:
Structural characterization:
Utilize cryo-electron microscopy to determine protein structure, particularly challenging for multi-pass transmembrane proteins
Employ NMR spectroscopy for dynamic structural information
Use molecular dynamics simulations to predict conformational changes
Membrane topology analysis:
Apply glycosylation site mapping to determine extracellular domains
Use protease protection assays to identify cytoplasmic regions
Implement FRET-based approaches to measure protein-protein interactions within the membrane
Functional domain mapping:
Generate truncation mutants to identify essential functional regions
Create chimeric proteins with other MS4A family members to determine domain-specific functions
Develop point mutations at conserved residues to identify critical amino acids
Trafficking and localization:
Track protein movement using fluorescently-tagged MS4A10 constructs
Analyze lipid raft association through detergent resistance and co-localization studies
Investigate endocytosis and recycling pathways with pulse-chase experiments
These approaches should be integrated with biological readouts relevant to MS4A10's cellular function to provide meaningful insights.
Developing specific antibodies against multi-pass transmembrane proteins like MS4A10 presents several challenges:
| Challenge | Solution | Methodology |
|---|---|---|
| Limited accessible epitopes | Target extracellular loops and N/C termini | Use bioinformatics tools to predict surface-exposed regions based on transmembrane topology |
| Cross-reactivity with other MS4A family members | Design peptides from unique regions | Perform sequence alignment of all MS4A proteins to identify MS4A10-specific sequences |
| Conformational epitopes | Use native protein as immunogen | Express full-length protein in mammalian cells for immunization |
| Low immunogenicity | Couple to carrier proteins | Use KLH or BSA conjugation to enhance immune response |
| Validation specificity | Comprehensive testing | Validate antibodies using MS4A10 knockout/knockdown controls |
For optimal antibody development:
Generate multiple antibodies targeting different epitopes
Screen candidates against both denatured and native protein
Validate across multiple techniques (Western blot, immunofluorescence, flow cytometry)
Confirm specificity by testing against other MS4A family members
Systems biology offers powerful tools to contextualize MS4A10 within broader biological networks:
Integration of -omics data:
Network analysis:
Construct protein-protein interaction networks centered on MS4A10
Identify hub proteins that may connect MS4A10 to broader signaling cascades
Apply graph theory to predict critical nodes in MS4A10-associated networks
Machine learning approaches:
Develop predictive models of MS4A10 function based on expression data
Use pattern recognition to identify conditions where MS4A10 is differentially regulated
Apply deep learning to integrate diverse data types
Multi-scale modeling:
Connect molecular-level MS4A10 function to cellular phenotypes
Model the effects of MS4A10 perturbation on tissue-level processes
Simulate the impact of therapeutic targeting of MS4A10 pathways
Systems approaches are particularly valuable given the complex tissue-specific expression patterns of MS4A10 and its numerous functional associations .
For successful transfection and expression of MS4A10 constructs:
Plasmid design considerations:
Include codon optimization for the host cell system
Consider adding epitope tags that don't interfere with transmembrane domains
Design constructs with strong promoters appropriate for the experimental system
Transfection optimization:
For transient expression, lipid-based transfection reagents like Lipofectamine are effective for most cell types
For difficult-to-transfect cells, electroporation may yield better results
Optimize DNA:transfection reagent ratios (typically starting with manufacturer recommendations)
For primary cells, consider viral delivery systems such as lentivirus or adenovirus
Expression verification:
Stable cell line generation:
When investigating MS4A10 polymorphisms and variants:
Variant identification:
Functional characterization:
Express variant forms using appropriate expression systems
Compare expression levels, cellular localization, and stability
Assess impact on interaction partners through co-immunoprecipitation
Evaluate effects on downstream signaling pathways
Population studies:
Analyze variant frequency in different populations
Investigate associations with specific disease phenotypes
Perform case-control studies for conditions where MS4A family members show relevance
Structure-function relationships:
Model the structural impact of variants, particularly those affecting transmembrane domains
Focus on polymorphisms in functional domains or conserved regions
Consider the impact of variants on post-translational modifications
Integrating computational prediction with experimental validation provides the most robust approach to understanding the functional significance of MS4A10 variants.
When creating MS4A10 fusion proteins for imaging applications:
Tag selection and placement:
Choose tags that minimize interference with protein folding and function
Consider small tags (e.g., FLAG, HA) for fixed cell imaging
Use fluorescent proteins (e.g., GFP, mCherry) for live-cell imaging
Avoid placing tags within transmembrane domains or at critical functional sites
Test both N- and C-terminal tagging strategies, as one may disrupt function less than the other
Expression level control:
Use inducible expression systems to prevent artifacts from overexpression
Titrate expression to physiologically relevant levels
Compare localization patterns at different expression levels
Validation approaches:
Confirm that tagged MS4A10 retains normal subcellular localization
Verify that protein function remains intact using appropriate assays
Compare results with endogenous protein localization when possible
Advanced imaging considerations:
For FRET studies, ensure appropriate donor-acceptor pairs
For super-resolution microscopy, select tags compatible with the technique
For pulse-chase experiments, use photoconvertible or photoactivatable fluorescent proteins
Consider split fluorescent protein approaches for protein-protein interaction studies
Careful design and thorough validation of fusion constructs are essential for generating reliable imaging data for transmembrane proteins like MS4A10.
Several cutting-edge technologies hold promise for elucidating MS4A10 biology:
CRISPR-based functional genomics:
Genome-wide CRISPR screens to identify synthetic lethal interactions with MS4A10
CRISPRa/CRISPRi approaches to modulate MS4A10 expression with temporal precision
Base editing to introduce specific point mutations without double-strand breaks
Prime editing for precise genomic modifications to study variant functions
Single-cell technologies:
Single-cell RNA-seq to identify cell populations with highest MS4A10 expression
Single-cell proteomics to correlate MS4A10 protein levels with cellular phenotypes
Spatial transcriptomics to map MS4A10 expression in tissue contexts
Multi-omics approaches combining genomic, transcriptomic, and proteomic data at single-cell resolution
Advanced structural biology:
Cryo-electron tomography to visualize MS4A10 in native membrane environments
AlphaFold2 and similar AI approaches to predict structural interactions
Mass spectrometry techniques for transmembrane protein characterization
Hydrogen-deuterium exchange mass spectrometry to map dynamic conformational changes
Organoid and advanced cell culture models:
Tissue-specific organoid systems to study MS4A10 in physiologically relevant contexts
Microfluidic organ-on-chip models to investigate functional roles in complex tissues
Co-culture systems to examine cell-cell communication roles of MS4A10
While specific therapeutic applications for MS4A10 are not detailed in the provided search results, potential approaches can be considered:
Cancer immunotherapy:
Targeted therapeutics:
Tissue-specific applications:
Family-based approach:
Consider MS4A10 in the context of therapeutic strategies targeting the broader MS4A family
Investigate functional redundancy and potential compensatory mechanisms
Develop pan-MS4A targeting strategies for conditions where multiple family members are implicated
Any therapeutic development should be preceded by thorough validation of MS4A10's role in the targeted disease process and careful assessment of potential off-target effects.
Current understanding of MS4A10 reveals several critical knowledge gaps that merit further investigation:
Tissue-specific functions:
Detailed characterization of MS4A10 expression across normal and pathological tissues
Identification of the physiological role of MS4A10 in tissues where it shows highest expression
Understanding the consequences of MS4A10 loss in knockout models
Molecular mechanisms:
Elucidation of signaling pathways directly regulated by MS4A10
Identification of binding partners and regulatory molecules
Characterization of post-translational modifications affecting MS4A10 function
Disease relevance:
Evolutionary context:
Comparative analysis of MS4A10 across species to identify conserved functional domains
Understanding the evolutionary pressures that shaped the MS4A gene family expansion
Identification of species-specific adaptations in MS4A10 function
Addressing these knowledge gaps will require integrated approaches combining genomic, proteomic, biochemical, and cellular techniques in physiologically relevant experimental systems.