Recombinant Mouse STEAP3 is produced using diverse expression systems. Below is a comparative table of production methods:
Purification involves affinity chromatography (e.g., Strep-Tactin for Strep tags). The protein is stored in lyophilized form at -80°C with Tris/PBS buffers and stabilizers like trehalose .
STEAP3 functions as a ferric-chelate and cupric reductase, critical for cellular iron uptake and copper metabolism. Key mechanisms include:
Iron homeostasis: Reduces endosomal Fe³⁺ to Fe²⁺ for transport into the cytosol, essential for erythroid cells and macrophages .
Copper reduction: Converts Cu²⁺ to Cu¹⁺, influencing copper-dependent enzymatic processes .
Signaling modulation: Interacts with TAK1 to regulate JNK/p38 pathways in hepatic steatosis and inflammation .
STEAP3-deficient macrophages show 60–70% reduced ferrireductase activity and impaired TLR4-mediated cytokine production (e.g., interferon-β) .
Overexpression in hepatocytes increases lipid accumulation by 40% in NAFLD models via TAK1 activation .
STEAP3 is the dominant ferrireductase in macrophages, with mRNA levels >200-fold higher than other STEAP family members . Knockout mice exhibit microcytic anemia and abnormal hepatic iron sequestration during inflammation .
NAFLD/NASH: STEAP3 deletion reduces lipid deposition by 50% in hepatocytes and improves glucose metabolism .
Cancer: STEAP3 overexpression in colorectal cancer stabilizes β-catenin via Wnt signaling, promoting tumor progression . Conversely, its downregulation in hepatocellular carcinoma correlates with poor prognosis .
STEAP3 coordinates iron homeostasis and TLR4-mediated inflammatory responses. Depletion reduces interferon-β and chemokine production by 30–40% in macrophages .
Recombinant Mouse STEAP3 is used in:
STEAP3 (Six-Transmembrane Epithelial Antigen of Prostate 3) is a metalloreductase that functions primarily as a ferrireductase, reducing Fe³⁺ to Fe²⁺. It plays a vital role in erythropoiesis by facilitating iron reduction, which allows Fe²⁺ to be loaded into the heme pocket during red blood cell (RBC) development . STEAP3 was first identified in 2005 through analysis of a mutant mouse strain (nm1054) with hypochromic microcytic anemia, establishing its critical role in iron metabolism and erythroid development . Beyond its role in iron reduction, STEAP3 can also act on copper, potentially affecting RBC redox biology through multiple pathways .
Murine and human STEAP3 share approximately 85% identity at the amino acid level, suggesting a high degree of functional conservation across species . This conservation is further supported by clinical observations of human families with genetic STEAP3 deficiencies who present with anemia resembling that observed in STEAP3 knockout mice . The significant homology between species makes mouse STEAP3 a valuable model for studying potential human applications and disease relevance.
Recombinant mouse STEAP3 is available in several research-ready formats, including pre-coupled magnetic beads. These preparations typically feature the protein derived from HEK293 expression systems with defined characteristics such as particle size (~2 μm), hydrophilic surface properties, and binding capacity (>200 pmol rabbit IgG/mg beads) . Researchers should store these preparations at 2-8°C without freezing to maintain stability, which typically extends at least 6 months under proper storage conditions .
STEAP3 ferrireductase activity can be quantified using the chemical 3-(2-pyridyl)-5,6-diphenyl-1,2,4-triazine-p,p′-disulfonic acid (ferrozine) and measuring changes in absorbance at 562 nm . A standard experimental protocol involves:
Sample preparation: Isolate RBC ghosts (membranes) using established protocols
Reaction setup: Combine sample with ferrozine reagent in appropriate buffer
Activity measurement: Monitor absorbance changes at 562 nm over time
Data analysis: Calculate reaction rates relative to controls
This spectrophotometric approach provides a reliable quantitative assessment of STEAP3 ferrireductase functionality that can be standardized across experimental conditions .
STEAP3 protein expression can be reliably detected through western blot analysis using commercially available antibodies. An effective protocol includes:
Sample preparation: Isolate RBC ghosts (membranes) using established protocols
Protein separation: Perform SDS-PAGE under reducing conditions
Transfer and blocking: Transfer proteins to appropriate membrane and block non-specific binding
Primary antibody: Incubate with rabbit anti-STEAP3 polyclonal antibody (e.g., Proteintech #17186-1-AP)
Detection: Use appropriate secondary antibody and detection system
Controls: Include anti-actin (e.g., Cell Signaling Technology #4970) as loading control
For accurate quantitative comparisons between samples, researchers should normalize STEAP3 band intensity to actin or another housekeeping protein .
Pre-coupled magnetic beads with recombinant mouse STEAP3 enable multiple research applications including:
Immunoassay development for STEAP3-interacting proteins
In vitro diagnostics to assess STEAP3-related pathways
Cell sorting of populations expressing STEAP3 receptors
Immunoprecipitation/co-precipitation to identify protein complexes
Protein/antibody separation and purification
These applications benefit from the uniform particle size and narrow size distribution of the beads, which provide large surface area for efficient target molecule capture with high specificity . The system is compatible with automation equipment for high-throughput operations, making it suitable for large-scale experimental designs.
Increased STEAP3 expression negatively impacts RBC storage quality and post-transfusion recovery in a dose-dependent manner . Research has established that:
Mouse strains with high STEAP3 expression (e.g., FVB) show poor RBC storage characteristics
Strains with low STEAP3 expression (e.g., B6, BALB/cByJ, BTBR) demonstrate superior RBC storage
Transgenic mice with artificially increased STEAP3 expression on a B6 background show decreased post-transfusion RBC recovery
The mechanism involves increased oxidative stress and lipid peroxidation in stored RBCs
The causal relationship was confirmed through multiple experimental approaches including genetic mapping (QTL and congenic mapping), protein expression analysis, and transgenic mouse models where STEAP3 expression was the only variable . This research has significant implications for understanding donor variability in human blood banking.
Metabolomic analysis reveals substantial metabolic alterations associated with STEAP3 expression levels in RBCs. Principal component analysis of 59,867 different analytes showed that:
RBCs from mouse strains with high STEAP3 expression cluster separately from those with low expression
Transgenic mice with isolated increased STEAP3 expression show metabolic profiles trending toward high-STEAP3 expressing strains
These metabolic changes are specific to STEAP3 expression rather than artifacts of the transgenic process
Principal component 1 accounts for approximately 35% of the variability across samples
The metabolic signature includes changes in redox biology and lipid metabolism, with specific alterations in oxylipins generation that are directly attributable to STEAP3 expression levels . These findings establish STEAP3 as a key regulator of RBC metabolism with potential implications for numerous disease states involving oxidative stress.
Interestingly, despite its significant impact on in vitro RBC storage, increased STEAP3 expression does not necessarily shorten in vivo RBC lifespan under baseline conditions . Experimental evidence shows:
These findings indicate that the relationship between STEAP3 expression and RBC biology is context-dependent, with different mechanisms potentially governing in vitro storage stability versus in vivo circulatory lifespan . Future research should investigate whether physiological oxidative stress might alter this relationship.
When conducting QTL analysis for STEAP3-related phenotypes, researchers should consider several potential challenges:
Multiple testing concerns: Apply appropriate statistical corrections (e.g., false discovery rate with q-value methods) with a threshold of q = 0.05 to minimize false associations
Model selection: Use appropriate linear models that account for the specific genetic structure of your cross (e.g., F2 intercross)
SNP selection: Ensure adequate coverage of the chromosome 1 region containing the Steap3 gene
Phenotype definition: Clearly define and consistently measure the STEAP3-related phenotype across all samples
For analyzing QTL data, the "lm" function in R can be used to create simple linear models and extract p-values associated with the F test, followed by plotting results on a -log10 P scale across the genome .
Designing transgenic models to isolate STEAP3 effects requires careful consideration of several factors:
Expression system selection: Use RBC-specific regulatory elements (e.g., LCB expression cassette) to target STEAP3 expression to the relevant cell type
Background strain selection: Choose a strain with low endogenous STEAP3 expression (e.g., B6) to clearly observe the effects of transgenic expression
Control development: Generate control transgenic lines expressing unrelated proteins from the same expression cassette (e.g., Kel-2N) to control for non-specific effects
Expression level verification: Confirm transgenic STEAP3 expression through both protein quantification and functional assays (ferrireductase activity)
This approach has successfully demonstrated that increased STEAP3 expression alone is sufficient to cause decreased 24-hour recovery of stored RBCs in a dose-dependent manner .
When interpreting STEAP3 protein data from western blots, researchers should consider:
Mobility variations: Transgenic STEAP3 protein may display different mobility compared to natural STEAP3, despite maintaining functional activity
Detection sensitivity: STEAP3 may be barely detectable in strains with low expression (e.g., B6, BALB/cByJ, BTBR) while clearly visible in high-expression strains
Quantification approach: Normalize band intensity to loading controls and include samples with known STEAP3 expression levels as references
Correlation with activity: Verify that protein levels correlate with ferrireductase activity measurements for functional validation
These considerations help ensure accurate interpretation of STEAP3 protein expression data and its relationship to functional outcomes in experimental systems .
Based on current understanding of STEAP3 biology, several important research questions emerge regarding human applications:
Human donor variability: Human STEAP3 mRNA expression has been observed to vary up to threefold among healthy individuals, suggesting potential variation among blood donors
Storage quality prediction: RBCs from humans with moderately decreased STEAP3 function may demonstrate superior storage compared to RBCs from donors with full STEAP3 activity
Screening development: Since humans with heterozygous loss of function STEAP3 variants have normal baseline hematologic parameters, current routine RBC donor screening would not detect STEAP3 differences
Clinical significance: The impact of STEAP3 variation on transfusion outcomes in different patient populations requires investigation
These questions highlight the potential for STEAP3 as a biomarker for donor selection and blood unit quality prediction in transfusion medicine .
Beyond transfusion medicine, STEAP3's role in RBC redox biology suggests potential involvement in various disease states:
RBC storage can be viewed as a form of experimental oxidative stress that models other stressors RBCs encounter in health and disease
STEAP3 expression may influence RBC responses to oxidative stress in conditions such as:
Hemoglobinopathies (sickle cell disease, thalassemias)
Malaria and other infectious diseases affecting RBCs
Inflammatory conditions with increased oxidative burden
Metabolic disorders affecting redox homeostasis
The dual role of STEAP3 in both iron and copper metabolism positions it at the intersection of multiple redox-active pathways
Future research should explore how STEAP3 expression and activity modulation might serve as a therapeutic target in these various disease contexts .
Advanced omics approaches offer numerous opportunities to expand our understanding of STEAP3 biology:
Untargeted metabolomics: Building on current findings showing distinctive metabolic signatures associated with STEAP3 expression levels
Proteomics: Identifying STEAP3 interacting partners and how they vary across cell types and disease states
Transcriptomics: Exploring gene expression networks regulated by or regulating STEAP3 expression
Genomics: Comprehensive analysis of genetic variants affecting STEAP3 expression or function across populations
Integration of multi-omics data: Combining these approaches to build comprehensive models of STEAP3's role in cellular physiology
These approaches can reveal new connections between STEAP3 and cellular processes beyond its established role in iron metabolism and RBC biology.