Recombinant mouse Ms4a10 is synthesized using cell-free expression systems or heterologous hosts (E. coli, yeast, mammalian cells) .
| Parameter | Details | Source |
|---|---|---|
| Host systems | E. coli, mammalian cells, baculovirus | |
| Purity | ≥85% (SDS-PAGE verified) | |
| Applications | ELISA, RNA interference, structural studies |
Partial constructs (e.g., residues 50–200) are common for studying extracellular loops or cytoplasmic domains .
ELISA kits: Detect native Ms4a10 in mouse tissues (reactivity confirmed in kidney and liver) .
Antibodies: Anti-Ms4a10 antibodies (e.g., HPA014778) show specificity in immunohistochemistry .
Gene silencing: siRNA targeting Ms4a10 reduces protein expression by >97% in vitro .
Chemical interactions: Ms4a10 expression is modulated by:
Ms4a10 interacts with calcium signaling pathways, influencing leukocyte differentiation and cytokine production .
In glioma models, MS4A family members correlate with immune infiltration (e.g., macrophages) and poor prognosis .
| Chemical | Effect on Ms4a10 | Study Model |
|---|---|---|
| 1,2-Dimethylhydrazine | Increased mRNA expression | Rat colon |
| Ozone | Altered membrane localization | Mouse lung |
| Furan | Upregulated in hepatotoxicity | Rat liver |
Mouse MS4A10 belongs to the membrane-spanning 4-domains subfamily A (MS4A) protein family, which is characterized by four transmembrane domains with both N and C termini located in the cytoplasm. These proteins share structural similarities with CD20 (MS4A1) and Fcε RIβ (MS4A2), which are well-established members of this family . The MS4A family members typically feature two extracellular regions and three cytoplasmic regions, with molecular weights ranging from approximately 20-25 kDa as predicted from their amino acid sequences. Mouse MS4A10, similar to its family members, likely follows this characteristic topology with four hydrophobic transmembrane segments separated by hydrophilic regions of varying lengths. The protein's structure enables it to potentially form oligomers or interact with other membrane proteins to facilitate its biological functions. Understanding this structural organization is crucial for designing targeted antibodies and developing functional assays specific to MS4A10.
MS4A10 expression in mice demonstrates tissue-specific patterns, with notable presence in epithelial tissues including those of the gastrointestinal tract. Based on analysis of MS4A family expression patterns, MS4A10 likely shows differential expression across tissue types and developmental stages. Expression analysis using RNA sequencing technologies has become the standard approach for quantifying MS4A10 transcript levels across various mouse tissues . Similar to other MS4A family members, MS4A10 expression may be regulated by tissue-specific transcription factors, epigenetic modifications, and environmental factors that collectively determine its spatial and temporal expression patterns. Comparative studies between normal and diseased states can provide insights into how MS4A10 expression changes under pathological conditions. Expression analysis should include normalization to appropriate housekeeping genes to ensure accurate quantification of relative expression levels across different experimental conditions.
While specific functions of mouse MS4A10 are still being elucidated, insights from other MS4A family members suggest potential roles in signal transduction and immune regulation. Research on MS4A family proteins indicates involvement in calcium signaling, cell differentiation, and immune cell function . MS4A10 likely shares some functional characteristics with other family members while also possessing unique roles specific to the tissues where it is predominantly expressed. Other MS4A proteins have been implicated in various cellular processes including cell proliferation, apoptosis, and differentiation. The presence of four transmembrane domains suggests potential roles in forming ion channels or as components of larger receptor complexes. Functional studies using knockout or knockdown approaches in mouse models can help delineate the specific biological roles of MS4A10 compared to other family members. Comparative analysis across different MS4A proteins can provide valuable insights into both conserved and divergent functions within this protein family.
Several experimental models are available for studying mouse MS4A10, including immortalized cell lines, primary cell cultures, and genetically modified mouse models. Cell line models can be established by transfecting mouse cell lines with MS4A10 expression vectors or by using CRISPR-Cas9 technology to modify endogenous MS4A10 expression . Primary cell cultures derived from tissues with high MS4A10 expression provide physiologically relevant models for studying its function. Transgenic mouse models, including conditional knockouts, can be particularly valuable for investigating MS4A10 function in specific tissues or developmental stages. In vitro models using recombinant proteins allow for biochemical characterization and interaction studies. The choice of experimental model should align with the specific research questions being addressed, considering factors such as tissue specificity, temporal expression patterns, and the need for physiological relevance.
Post-translational modifications (PTMs) likely play critical roles in regulating MS4A10 function, localization, and protein-protein interactions. Based on studies of other MS4A family members, potential PTMs affecting MS4A10 may include phosphorylation, glycosylation, ubiquitination, and palmitoylation . Phosphorylation sites, particularly on cytoplasmic domains, may regulate signal transduction capabilities and interaction with downstream effector molecules. Glycosylation on extracellular domains could influence protein folding, stability, and recognition by other proteins or antibodies. Mass spectrometry-based approaches are essential for comprehensive identification and characterization of PTMs on MS4A10. Site-directed mutagenesis of putative modification sites can help determine the functional significance of specific PTMs. The dynamic nature of PTMs may also contribute to context-dependent functions of MS4A10 across different cell types or in response to various stimuli, adding another layer of regulatory control to its biological activities.
While direct evidence for MS4A10's role in immune function is still emerging, insights from other MS4A family members suggest potential involvement in immune regulation. MS4A family proteins have been implicated in immune cell differentiation, activation, and signaling pathways . Analysis of MS4A family members reveals significant correlations with immune cell infiltration in various cancers, suggesting potential roles in tumor microenvironment modulation. MS4A10 might participate in calcium signaling in immune cells, similar to other family members, potentially affecting immune cell activation, cytokine production, or effector functions. Research indicates that some MS4A family members are differentially expressed in various pathological conditions, including cancer and inflammatory diseases, suggesting potential roles in disease pathogenesis or progression . Understanding MS4A10's specific contributions to immune function requires detailed immune phenotyping in models with altered MS4A10 expression, along with mechanistic studies to elucidate the underlying molecular pathways.
Single-cell RNA sequencing (scRNA-seq) offers unprecedented resolution for analyzing MS4A10 expression across diverse cell populations and states. This technology can reveal cell type-specific expression patterns that might be masked in bulk tissue analysis, providing insights into which specific cell subpopulations express MS4A10 . Temporal scRNA-seq analysis during development or disease progression can elucidate dynamic changes in MS4A10 expression at the single-cell level. Integration of scRNA-seq data with spatial transcriptomics can provide additional contextual information about MS4A10 expression in relation to tissue architecture and cellular neighborhoods. Computational analysis of scRNA-seq data can identify co-expression patterns and gene regulatory networks associated with MS4A10, potentially revealing functional relationships and regulatory mechanisms. The heterogeneity in MS4A10 expression across different cell types or states might reflect distinct functional roles in diverse cellular contexts, which can be further investigated through targeted functional studies in specific cell populations identified by scRNA-seq.
Understanding the protein-protein interaction (PPI) network of MS4A10 is crucial for elucidating its functional mechanisms. Based on studies of other MS4A family members, MS4A10 likely interacts with various signaling molecules, scaffold proteins, and potentially other membrane proteins . Experimental approaches for identifying MS4A10 interaction partners include co-immunoprecipitation followed by mass spectrometry, proximity labeling techniques such as BioID or APEX, and yeast two-hybrid screening. Validation of identified interactions can be performed using techniques such as fluorescence resonance energy transfer (FRET), bimolecular fluorescence complementation (BiFC), or co-localization studies using confocal microscopy. Computational prediction tools can also provide insights into potential interaction partners based on sequence homology with other MS4A family members whose interaction networks have been better characterized. The interaction network may be dynamically regulated by cellular context, activation state, or disease conditions, potentially explaining context-dependent functions of MS4A10.
Optimal expression and purification of recombinant mouse MS4A10 requires careful consideration of expression systems, solubilization methods, and purification strategies due to its multi-transmembrane domain structure. Expression systems such as E. coli, yeast, insect cells, or mammalian cells each offer different advantages for membrane protein expression, with mammalian expression systems often providing the most native-like post-translational modifications and folding for mammalian membrane proteins . For bacterial expression, fusion tags such as MBP (maltose-binding protein) or SUMO can improve solubility and folding of membrane proteins. Detergent screening is crucial for effective solubilization of MS4A10 from membranes, with common detergents including DDM (n-dodecyl β-D-maltoside), LMNG (lauryl maltose neopentyl glycol), or digitonin. Purification typically involves affinity chromatography using tags (His, FLAG, etc.), followed by size exclusion chromatography to achieve higher purity. For structural studies, reconstitution into nanodiscs, liposomes, or amphipols may be necessary to maintain native-like conformation. Validation of properly folded protein can be performed using circular dichroism spectroscopy or functional assays specific to MS4A10.
Developing specific antibodies against mouse MS4A10 requires strategic epitope selection and rigorous validation procedures. Epitope selection should focus on regions with high antigenicity and low sequence similarity to other MS4A family members to ensure specificity. Computational tools can predict antigenic regions, while sequence alignment with other MS4A proteins can identify unique regions suitable for antibody development . Both peptide antigens (representing extracellular or cytoplasmic regions) and recombinant protein fragments can serve as immunogens. Multiple validation approaches should be employed, including Western blotting, immunoprecipitation, immunohistochemistry, and flow cytometry, using tissues or cells with known MS4A10 expression levels. Knockout or knockdown models serve as critical negative controls to confirm antibody specificity. Cross-reactivity testing against other MS4A family members is essential to ensure the antibody does not recognize closely related proteins. Monoclonal antibodies often provide better specificity compared to polyclonal antibodies, although the latter may recognize multiple epitopes, potentially providing better sensitivity in certain applications.
Multiple complementary techniques can effectively characterize MS4A10 localization and trafficking dynamics within cells. Immunofluorescence microscopy using specific anti-MS4A10 antibodies can visualize its subcellular distribution and co-localization with organelle markers . Live-cell imaging with fluorescently tagged MS4A10 enables real-time monitoring of trafficking dynamics, though validation is necessary to ensure the tag doesn't disrupt normal localization or function. Super-resolution microscopy techniques such as STORM, PALM, or STED provide nanoscale resolution of MS4A10 distribution beyond the diffraction limit of conventional microscopy. Biochemical fractionation followed by Western blotting can quantitatively assess MS4A10 distribution across different cellular compartments. Pulse-chase experiments using photoactivatable or photoconvertible fluorescent protein fusions can track specific pools of MS4A10 over time. Electron microscopy, particularly immunogold labeling, offers ultrastructural insights into MS4A10 localization at the membrane level. FRAP (Fluorescence Recovery After Photobleaching) analysis can provide information about MS4A10 mobility and membrane dynamics.
Comprehensive assessment of MS4A10 function in mouse models requires multi-faceted approaches spanning genetic manipulation, phenotypic characterization, and molecular analysis. CRISPR-Cas9 technology enables generation of MS4A10 knockout or knock-in mouse models for studying loss-of-function or specific mutations . Conditional knockout models using Cre-LoxP systems allow tissue-specific or inducible deletion of MS4A10, useful for circumventing potential developmental effects or studying tissue-specific functions. Phenotypic characterization should include detailed histological analysis of tissues with high MS4A10 expression, assessment of immune cell populations by flow cytometry, and functional assays relevant to suspected MS4A10 functions. Molecular profiling using RNA-seq, proteomics, and metabolomics can identify pathways affected by MS4A10 manipulation. Challenge models (e.g., infection, inflammation, or cancer models) may reveal phenotypes not apparent under homeostatic conditions. Ex vivo analysis of cells derived from these mouse models can provide insights into cell-autonomous effects of MS4A10 alterations. Rescue experiments by reintroducing wild-type or mutant MS4A10 can confirm specificity of observed phenotypes and dissect structure-function relationships.
Based on data from MS4A family research, the expression patterns of MS4A proteins vary significantly across different tissues and cell types, suggesting distinct functional roles . While specific comprehensive data for mouse MS4A10 is limited in the provided search results, we can extrapolate from studies of the MS4A family to construct a representative expression profile table:
| Tissue Type | MS4A10 Expression Level | Other Highly Expressed MS4A Members | Notes |
|---|---|---|---|
| Brain | Low | MS4A6A, MS4A7, MS4A4A | Expression primarily in microglia |
| Lung | Moderate | MS4A1, MS4A2, MS4A4A | Associated with immune cells in lung tissue |
| Intestine | High | MS4A10, MS4A12 | Epithelial expression pattern |
| Immune Cells | Variable | MS4A1, MS4A2, MS4A4A, MS4A7 | Expression varies by immune cell subtype |
| Liver | Low | MS4A6A, MS4A7 | Associated with resident macrophages |
| Kidney | Moderate | MS4A12, MS4A10 | Epithelial tubule expression |
This expression pattern analysis suggests that MS4A10 may have specialized functions in epithelial tissues, particularly in the gastrointestinal tract and kidney. The differential expression across tissues provides clues about potential tissue-specific functions and helps guide experimental design for functional studies. Researchers investigating MS4A10 should consider these expression patterns when selecting appropriate cell or tissue models for their studies. The co-expression with other MS4A family members in certain tissues may also suggest potential functional redundancy or cooperation that should be considered in experimental design and data interpretation.
The structural features of MS4A10 compared to other family members provide insights into potentially conserved functional domains and unique characteristics . Analysis of protein sequences and predicted structures reveals important similarities and differences:
| Feature | MS4A10 | MS4A1 (CD20) | MS4A2 (FcεRIβ) | MS4A4A |
|---|---|---|---|---|
| Molecular Weight | ~25 kDa | ~33 kDa | ~26 kDa | ~23 kDa |
| Transmembrane Domains | 4 | 4 | 4 | 4 |
| Extracellular Loops | 2 | 2 | 2 | 2 |
| N-glycosylation Sites | 1-2 (predicted) | 1 | 2 | 1-2 |
| Phosphorylation Sites | Multiple (predicted) | Multiple | Multiple | Multiple |
| Key Functional Motifs | ITIM-like motif (predicted) | None | ITAM | ITIM-like motif |
| Oligomerization | Predicted | Well-established | Predicted | Predicted |
This structural comparison highlights both the conserved four-transmembrane topology characteristic of the MS4A family and potential functional differences suggested by varying motifs in cytoplasmic domains. The presence of immunoreceptor tyrosine-based motifs in some family members indicates potential roles in signaling pathways. Researchers studying MS4A10 should consider these structural features when designing experiments to investigate protein-protein interactions, signaling pathways, or functional assays. Conservation analysis across species can provide additional insights into functionally important regions that have been preserved during evolution.
Studies of MS4A family members have revealed significant correlations between their expression and immune cell infiltration in various disease contexts, particularly in cancer . While specific data for MS4A10 is limited, analysis of other MS4A family members provides a framework for understanding potential immune-related functions:
| Immune Cell Type | Correlation with MS4A Family Expression | Associated MS4A Members | Disease Context |
|---|---|---|---|
| B cells | Strong positive | MS4A1 (CD20) | Multiple cancers |
| CD8+ T cells | Moderate positive | MS4A4A, MS4A7 | Lung cancer, glioma |
| CD4+ T cells | Moderate positive | MS4A6A, MS4A7 | Lung cancer, glioma |
| Macrophages | Strong positive | MS4A4A, MS4A6A, MS4A7 | Multiple cancers |
| Neutrophils | Weak to moderate | MS4A2, MS4A3 | Inflammatory conditions |
| Dendritic cells | Moderate positive | MS4A4A, MS4A7 | Multiple cancers |
These correlation patterns suggest that MS4A family proteins, including potentially MS4A10, may play important roles in immune cell recruitment, retention, or function within disease microenvironments . The observed correlations may reflect direct effects of MS4A proteins on immune cell function or indirect effects through regulation of cytokine production or other immune modulatory mechanisms. These findings provide a rationale for investigating the potential immune regulatory functions of MS4A10 in various disease contexts. Researchers interested in MS4A10's immune-related functions should consider assessing multiple immune cell types rather than focusing on a single population, given the broad correlations observed with other family members.