PHPT1 Human, Active

Phosphohistidine Phosphatase 1 Human Recombinant, Active
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Description

PHPT1 produced in E.Coli is a single, non-glycosylated polypeptide chain containing 145 amino acids (1-125a.a.) and having a molecular mass of 15.9kDa.
PHPT1 is fused to a 20 amino acid His-tag at N-terminus & purified by proprietary chromatographic techniques.

Product Specs

Introduction

PHPT1, a member of the Janus protein family, is a 125-amino acid protein. This protein exists as a monomer in the cytoplasm and functions as an EDTA-insensitive phosphohistidine phosphatase. When overexpressed, PHPT1 exhibits specific phosphatase activity towards phosphopeptide I, without any activity towards phosphotyrosine, phosphothreonine, or phosphoserine peptides.

Description

Produced in E. coli, PHPT1 is a single, non-glycosylated polypeptide chain consisting of 145 amino acids (1-125a.a.) and possesses a molecular mass of 15.9 kDa. This protein includes a 20 amino acid His-tag fused at the N-terminus and is purified using proprietary chromatographic techniques.

Physical Appearance
A clear solution that has been sterilized through filtration.
Formulation

The PHPT1 protein solution (concentration: 0.5mg/ml) is formulated in a buffer consisting of 20mM Tris-HCl (pH 8.0), 0.2M NaCl, 2mM DTT, and 10% glycerol.

Stability
For short-term storage (2-4 weeks), the product can be stored at 4°C. For longer periods, store the product frozen at -20°C. It is recommended to add a carrier protein (0.1% HSA or BSA) for long-term storage. Avoid repeated freeze-thaw cycles.
Purity
The purity of the product is greater than 95.0% as determined by SDS-PAGE analysis.
Biological Activity

The specific activity of the enzyme is measured as greater than 120 units/mg. This is defined as the quantity of enzyme required to hydrolyze 1 nanomole of p-nitrophenyl phosphate per minute at a pH of 7.5 and a temperature of 37°C.

Synonyms

PHP14, CGI-202, HSPC141, Phosphohistidine Phosphatase 1, Phosphohistidine Phosphatase 14kDa, Protein janus-A homolog, Sex-regulated protein Janus-a.

Source
Escherichia Coli.
Amino Acid Sequence

MGSSHHHHHH SSGLVPRGSH MAVADLALIP DVDIDSDGVF KYVLIRVHSA PRSGAPAAES KEIVRGYKWA EYHADIYDKV SGDMQKQGCD CECLGGGRIS HQSQDKKIHV YGYSMAYGPA QHAISTEKIK AKYPDYEVTW ANDGY.

Q&A

What is PHPT1 and what is its primary function in human cells?

PHPT1 (Protein Histidine Phosphatase 1) is the only known phosphohistidine phosphatase in mammals that specifically dephosphorylates phosphohistidine residues on target proteins. Its primary function involves regulating the phosphohistidine levels of several proteins involved in critical cellular processes including signaling, lipid metabolism, and potassium ion transport. PHPT1 provides one of the best examples whereby reversible histidine phosphorylation regulates biological functions in mammalian cells, creating a regulatory mechanism that complements the more widely studied serine/threonine and tyrosine phosphorylation systems. The importance of PHPT1 has been demonstrated in several biological contexts, including T cell regulation and adipocyte differentiation, highlighting its diverse physiological roles .

How is PHPT1 expression regulated in different cell types?

PHPT1 expression patterns vary significantly between different cell types and tissues. In brown adipocytes, PHPT1 expression shows a distinctive pattern during differentiation—it is rapidly reduced during the early phase of differentiation and recovers at the later phase. This temporal regulation suggests PHPT1 plays a critical role in the differentiation process of brown adipocytes. In contrast, during white adipocyte differentiation of 3T3-L1 preadipocytes, the expression level of PHPT1 does not significantly change, indicating cell type-specific regulation . In T cells, while studies have not detected significant changes in PHPT1 mRNA levels upon activation, protein-level regulation may still occur. The cell-specific expression patterns suggest that PHPT1 regulation is tailored to the functional requirements of different cell types and their physiological contexts .

What are the known substrates and binding partners of PHPT1?

PHPT1 exhibits specificity in target recognition, dephosphorylating only a subset of histidine phosphorylated proteins. Among its known substrates are:

  • KCa3.1 (Calcium-activated potassium channel 3.1): PHPT1 dephosphorylates H358 in the C-terminal domain of KCa3.1, inhibiting channel activity and subsequently regulating T cell function.

  • ACLY (ATP-citrate lyase): PHPT1 dephosphorylates ACLY, a key enzyme in lipid metabolism, affecting histidine phosphorylation levels. This interaction appears particularly relevant in brown adipocyte differentiation.

Interestingly, PHPT1 shows selectivity in its interactions. For example, while it dephosphorylates H358 on KCa3.1, it does not dephosphorylate H118 on NDPK-B (Nucleoside Diphosphate Kinase B). Furthermore, coimmunoprecipitation studies have shown that PHPT1 physically associates with KCa3.1 but not with NDPK-B, suggesting that direct protein-protein interaction is likely important for substrate recognition and specificity .

What techniques are used to measure PHPT1 activity in vitro?

For in vitro assessment of PHPT1 activity, researchers employ several methodological approaches:

  • Phosphohistidine dephosphorylation assays: Using synthetic phosphohistidine-containing peptides or proteins with radiolabeled phosphohistidine residues to quantify dephosphorylation rates.

  • Immunoblotting with anti-phosphohistidine antibodies: Western blot analysis with specific antibodies against phosphohistidine can detect changes in phosphorylation status of target proteins like ACLY after treatment with active PHPT1.

  • Immunoprecipitation followed by phosphorylation analysis: As demonstrated in studies with ACLY, researchers can immunoprecipitate potential target proteins and then analyze their histidine phosphorylation status in the presence or absence of active PHPT1.

  • Functional readouts of target protein activity: For example, electrophysiological recordings can measure KCa3.1 channel activity as an indirect readout of PHPT1 activity, since PHPT1 dephosphorylates and inhibits this channel .

When establishing these assays, it's critical to use appropriate controls including catalytically inactive PHPT1 mutants and to account for the labile nature of the phosphohistidine bond, which is more unstable than phosphoserine, phosphothreonine, or phosphotyrosine modifications.

What genetic approaches are most effective for studying PHPT1 function?

Several genetic approaches have proven effective for investigating PHPT1 function in different cellular contexts:

  • RNA interference (RNAi): The use of siRNA to reduce PHPT1 expression has been successfully implemented in human CD4 T cells and revealed increased KCa3.1 channel activity. When selecting this approach, researchers should consider using multiple siRNA sequences to control for off-target effects. For example, in T cell studies, researchers used a SMART pool reagent combining four individual siRNAs targeting PHPT1, which demonstrated significant knockdown efficiency .

  • Stable shRNA expression: For long-term studies, retroviral shRNA expression systems like pSIREN-RetroQ-DsRed have been effective. When implementing this strategy in brown preadipocytes, researchers tested three shRNA constructs and selected shPHPT1-3, which showed the most effective suppression. After viral transduction, cells expressing RFP were selected and enriched by FACS to establish stable PHPT1-knockdown cell lines .

  • Overexpression systems: Retroviral vectors carrying FLAG-tagged PHPT1 (such as pRetroX-IRES-ZsGreen1) provide an effective means to study the consequences of increased PHPT1 activity. This approach successfully demonstrated that ectopic expression of PHPT1 suppresses brown adipocyte differentiation .

  • CRISPR-Cas9 genome editing: Though not explicitly mentioned in the provided studies, CRISPR-Cas9 approaches would provide more complete knockout models for studying PHPT1 function, potentially revealing phenotypes not apparent with partial knockdown approaches.

When designing genetic studies of PHPT1, researchers should carefully consider cell type-specific effects and validate knockdown or overexpression efficiency at both mRNA and protein levels.

How can researchers effectively detect histidine phosphorylation in PHPT1 target proteins?

Detecting histidine phosphorylation presents unique challenges due to the labile nature of this modification. Researchers can employ several complementary approaches:

  • Anti-phosphohistidine antibodies: Use specific antibodies against phosphohistidine for western blot analysis. When employing this technique, researchers must take special precautions during sample preparation to preserve the phosphohistidine bond, including avoiding acidic conditions and high temperatures that can destabilize the modification.

  • Immunoprecipitation followed by phosphohistidine detection: As demonstrated in studies of ACLY, researchers can immunoprecipitate the target protein (e.g., using anti-ACLY antibody) followed by western blot analysis with anti-phosphohistidine antibodies. This approach allows for specific detection of phosphohistidine on a particular protein of interest even in complex samples .

  • Mass spectrometry with neutral loss scanning: Specialized mass spectrometry protocols can detect the characteristic neutral loss pattern of phosphohistidine, though this requires careful sample preparation to preserve the modification.

  • Functional assays of target protein activity: Indirect detection through measuring the functional consequences of phosphohistidine modification. For example, KCa3.1 channel activity can be measured by patch-clamp electrophysiology as an indirect readout of its phosphohistidine status.

When implementing these techniques, researchers should include appropriate controls such as samples treated with active PHPT1 versus catalytically inactive mutants, and consider the use of phosphohistidine analogs that are more stable for method development and validation.

What factors affect PHPT1 activity and how can they be experimentally controlled?

Multiple factors can influence PHPT1 activity in experimental settings:

  • Post-translational modifications: Though specific post-translational modifications of PHPT1 are not detailed in the provided search results, structural studies suggest such modifications may modulate its activity. Researchers should consider assessing the phosphorylation, acetylation, or other modification status of PHPT1 in their experimental system .

  • Binding partners: PHPT1 activity may be regulated through protein-protein interactions. Coimmunoprecipitation studies have shown that PHPT1 associates with some targets (like KCa3.1) but not others (like NDPK-B), suggesting that binding partners might influence its localization or activity .

  • Expression levels: PHPT1 activity correlates with its expression level, which varies during processes like brown adipocyte differentiation. Researchers should quantify PHPT1 expression at both mRNA and protein levels across experimental conditions .

  • Buffer conditions: The enzymatic activity of PHPT1 can be affected by buffer composition, pH, and temperature. When conducting in vitro assays, standardizing these parameters is essential for reproducible results.

  • Cellular localization: The subcellular distribution of PHPT1 may affect its access to substrates. Immunofluorescence or subcellular fractionation approaches can help determine if PHPT1 localization changes under different experimental conditions.

To control these factors experimentally, researchers should consider using recombinant PHPT1 with defined modifications for in vitro studies, carefully document expression levels across experimental conditions, and employ both gain-of-function and loss-of-function approaches to comprehensively assess PHPT1's role in their system of interest.

How does PHPT1 regulate T cell function and immune responses?

PHPT1 plays a critical role as a negative regulator of T cell activation through its effects on potassium channel function. The detailed mechanism involves:

  • Regulation of KCa3.1 channels: PHPT1 specifically dephosphorylates histidine 358 (H358) in the C-terminal domain of KCa3.1 channels. This dephosphorylation inhibits channel activity, reducing potassium efflux necessary for sustained calcium signaling during T cell activation.

  • Impact on calcium signaling: The inhibition of KCa3.1 channels by PHPT1 affects the membrane potential and reduces calcium influx through CRAC channels. Since calcium signaling is essential for T cell activation, this represents a key regulatory checkpoint.

  • Functional consequences: Decreased expression of PHPT1 by siRNA in human CD4 T cells results in increased KCa3.1 channel activity, suggesting that PHPT1 normally constrains T cell activation. This finding positions PHPT1 as an important negative regulator in the immune system .

The precise temporal regulation of PHPT1 during T cell activation remains incompletely understood. While studies have not detected significant changes in PHPT1 mRNA levels during T cell activation, post-translational regulation might occur. For researchers investigating PHPT1 in immune contexts, examining how PHPT1 activity might be modulated during different phases of the immune response could provide valuable insights into its physiological role.

What is the role of PHPT1 in adipocyte differentiation and metabolism?

PHPT1 functions as a negative regulator of brown adipocyte differentiation, with significant implications for metabolism and energy expenditure:

  • Expression pattern during differentiation: During brown adipocyte differentiation, PHPT1 shows a distinctive expression pattern—it is rapidly reduced during the early phase and recovers at the later phase. This temporal regulation suggests a carefully controlled role in the differentiation process. In contrast, during white adipocyte differentiation, PHPT1 expression remains relatively stable .

  • Functional impact on differentiation:

    • Knockdown effects: PHPT1 depletion promotes brown adipocyte differentiation, resulting in increased lipid droplet accumulation and upregulation of brown adipogenic markers including PGC1α, PRDM16, PPARγ, and UCP1.

    • Overexpression effects: Conversely, ectopic expression of PHPT1 suppresses brown adipocyte differentiation, reducing lipid accumulation and decreasing expression of key adipogenic markers.

  • Molecular mechanism: PHPT1 regulates the histidine phosphorylation status of ATP-citrate lyase (ACLY), a key metabolic enzyme. In PHPT1-depleted mature brown adipocytes, increased histidine phosphorylation of ACLY was observed, suggesting that ACLY histidine phosphorylation might play an important role in brown adipogenesis .

This regulatory role positions PHPT1 as a potential therapeutic target for obesity and related metabolic diseases. The divergent effects on brown versus white adipocyte differentiation suggest that selectively modulating PHPT1 activity could potentially enhance brown adipocyte development and function, promoting energy expenditure without affecting white adipose tissue.

How does PHPT1 specificity for different substrates mediate its diverse cellular effects?

PHPT1 exhibits remarkable substrate specificity, enabling it to selectively regulate different cellular processes:

  • Selective target recognition: PHPT1 dephosphorylates H358 on KCa3.1 but not H118 on NDPK-B, indicating that PHPT1 specifically dephosphorylates only a subset of histidine phosphorylated proteins. This selective targeting allows for precise regulation of specific cellular pathways without affecting others .

  • Physical association with targets: Coimmunoprecipitation studies have shown that PHPT1 physically associates with KCa3.1 but not with NDPK-B. This suggests that direct protein-protein interaction likely contributes to substrate recognition and specificity. The structural determinants of these selective interactions remain incompletely understood and represent an important area for future research .

  • Differential effects across cell types: The consequences of PHPT1 activity vary between cell types, such as its distinctive roles in T cells versus brown adipocytes. This suggests that the availability of relevant substrates and the cellular context significantly influence PHPT1's biological effects .

Understanding the basis for this substrate specificity would provide valuable insights into how a single phosphatase can selectively regulate multiple cellular processes. Researchers investigating this question might consider structural studies of PHPT1-substrate complexes, systematic screening for additional PHPT1 targets across different cell types, and detailed analysis of the sequence and structural features that enable selective target recognition.

What cell models are most appropriate for studying PHPT1 function?

Several cell models have proven effective for investigating different aspects of PHPT1 function:

  • Human CD4 T cells: Primary human CD4+ T cells purified from adult blood buffy coats provide an excellent model for studying PHPT1's role in immune regulation. These cells can be effectively transfected with siRNAs targeting PHPT1 and subsequently activated with anti-CD3/anti-CD28 antibodies to assess the functional consequences of PHPT1 depletion on T cell activation .

  • Immortalized brown preadipocytes: These cells offer a valuable model for studying PHPT1's role in adipocyte differentiation. They can be stably modified using retroviral systems to either knock down or overexpress PHPT1, and then induced to differentiate over 6 days to evaluate effects on adipogenesis .

  • 3T3-L1 white preadipocytes: This well-established cell line provides a counterpoint to brown adipocyte models, allowing researchers to compare PHPT1's role in white versus brown adipocyte differentiation .

  • 293T cells: While not physiologically relevant for functional studies, 293T cells offer an efficient system for initially testing genetic constructs like shRNAs targeting PHPT1 due to their high transfection efficiency .

When selecting a cell model, researchers should consider:

  • The physiological relevance to their research question

  • The feasibility of genetic manipulation in that cell type

  • The availability of well-established functional readouts

  • The expression level of endogenous PHPT1 and its potential targets

Each model system has advantages and limitations that should be carefully evaluated in the context of the specific research objectives.

What are the optimal conditions for measuring PHPT1 activity in cellular lysates?

When measuring PHPT1 activity in cellular lysates, researchers should consider several critical factors:

  • Lysis buffer composition:

    • Use neutral to slightly alkaline pH (7.4-8.0) to preserve phosphohistidine bonds

    • Include phosphatase inhibitors that target serine/threonine and tyrosine phosphatases but don't interfere with histidine phosphatase activity

    • Avoid detergents that might disrupt PHPT1-substrate interactions

    • Consider including protease inhibitors to prevent protein degradation

  • Sample handling:

    • Process samples quickly and maintain at cold temperatures

    • Avoid acidic conditions that can destabilize phosphohistidine bonds

    • Consider flash-freezing aliquots to prevent repeated freeze-thaw cycles

  • Activity assay considerations:

    • When analyzing specific substrates like ACLY, immunoprecipitation followed by phosphohistidine detection has proven effective. Total cell lysates containing equal amounts of protein should be subjected to immunoprecipitation with the appropriate antibody (e.g., anti-ACLY), followed by western blot analysis with anti-phosphohistidine, anti-substrate, and loading control antibodies .

    • Include appropriate controls, such as samples from cells overexpressing PHPT1 or treated with PHPT1-targeting siRNA, to validate the specificity of observed changes in phosphohistidine levels.

  • Quantification methods:

    • Densitometric analysis of immunoblots can provide semi-quantitative assessment of phosphohistidine levels

    • Normalize phosphohistidine signals to total substrate protein levels

    • When applicable, correlate biochemical measurements with functional readouts such as cell differentiation markers or channel activity

These methodological considerations are essential for obtaining reliable and reproducible measurements of PHPT1 activity in cellular contexts.

How can researchers distinguish between direct and indirect effects of PHPT1 manipulation?

Distinguishing direct from indirect effects of PHPT1 manipulation requires a strategic experimental approach:

  • In vitro reconstitution assays:

    • Purify recombinant PHPT1 and potential substrate proteins

    • Establish in vitro phosphorylation/dephosphorylation assays with purified components

    • Direct substrates will show PHPT1-dependent dephosphorylation in this simplified system

  • Substrate-specific mutations:

    • Identify the putative phosphohistidine residue in the substrate (e.g., H358 in KCa3.1)

    • Generate histidine-to-alanine mutants that cannot be phosphorylated

    • If PHPT1 effects are mediated directly through this residue, the mutant should be insensitive to PHPT1 manipulation

  • Phosphosite mapping:

    • Use mass spectrometry to identify which histidine residues are dephosphorylated upon PHPT1 treatment

    • Compare phosphohistidine patterns before and after PHPT1 manipulation

  • Catalytically inactive PHPT1:

    • Create catalytically inactive PHPT1 mutants that can still bind substrates

    • Use these as controls to distinguish between effects dependent on enzymatic activity versus protein-protein interactions

  • Temporal analysis:

    • Monitor the timing of phosphohistidine changes relative to downstream effects

    • Direct effects should precede secondary consequences

  • Correlation with physical interaction:

    • Assess whether PHPT1 physically associates with putative substrates through coimmunoprecipitation

    • As observed with KCa3.1 and NDPK-B, PHPT1 coimmunoprecipitates with its direct substrate KCa3.1 but not with NDPK-B

By systematically applying these approaches, researchers can build strong evidence for direct versus indirect effects of PHPT1 on specific cellular processes and substrates.

What therapeutic potential does targeting PHPT1 offer for metabolic diseases?

The research evidence suggests that PHPT1 modulation could offer significant therapeutic potential for metabolic diseases, particularly obesity:

  • Brown adipocyte differentiation: PHPT1 acts as a negative regulator of brown adipocyte differentiation. Knockdown of PHPT1 promotes brown adipocyte differentiation, increasing expression of key thermogenic markers like UCP1 (uncoupling protein 1) that enhance energy expenditure. This suggests that inhibiting PHPT1 could potentially enhance brown adipocyte development and function, promoting caloric expenditure without affecting food intake .

  • Target specificity: Unlike many other phosphatases that have broad substrate specificity, PHPT1 appears to have a more restricted set of targets. This relative specificity could potentially reduce off-target effects of PHPT1-directed therapeutics .

  • Tissue-specific effects: PHPT1 expression patterns and functions differ between brown and white adipose tissue. Its expression level does not significantly change during white adipocyte differentiation but shows a distinctive pattern during brown adipocyte differentiation. This differential regulation suggests the possibility of developing interventions that specifically affect brown adipose tissue without disrupting white adipose tissue functions .

Future therapeutic development would require:

  • High-throughput screening for small molecule inhibitors of PHPT1

  • Validation in animal models of obesity and metabolic disease

  • Tissue-targeted delivery strategies to enhance efficacy while minimizing potential side effects

  • Careful assessment of effects on immune function, given PHPT1's role in T cell regulation

How might disruptions in PHPT1 function contribute to human disease?

Based on PHPT1's known cellular functions, several potential disease connections can be hypothesized:

  • Immune dysregulation: PHPT1 negatively regulates CD4 T cell activation by inhibiting KCa3.1 channels. Disruptions in PHPT1 function could potentially contribute to:

    • Autoimmune disorders: Reduced PHPT1 activity might lead to enhanced T cell activation and potentially contribute to autoimmune responses.

    • Immunodeficiency: Conversely, increased PHPT1 activity could potentially dampen T cell responses, impairing immunity to infections or tumors .

  • Metabolic disorders: Given PHPT1's role in adipocyte differentiation:

    • Obesity: Increased PHPT1 activity might suppress brown adipocyte differentiation and thermogenic capacity, potentially contributing to reduced energy expenditure and weight gain.

    • Metabolic syndrome: Disrupted PHPT1 function could affect lipid metabolism through its target ACLY, potentially influencing dyslipidemia .

  • Cancer: While not directly addressed in the provided research, many phosphatases act as tumor suppressors, and altered phosphorylation signaling is a hallmark of cancer. PHPT1's role in regulating cell signaling and metabolism suggests potential connections to cancer biology that warrant investigation.

Research to establish these connections would require:

  • Analysis of PHPT1 expression and activity in relevant patient samples

  • Genetic association studies examining PHPT1 variants in disease populations

  • Animal models with tissue-specific PHPT1 manipulation

  • Mechanistic studies linking PHPT1-regulated pathways to disease processes

While direct evidence linking PHPT1 dysfunction to specific human diseases remains limited, its fundamental roles in key cellular processes suggest multiple potential pathological connections worthy of further investigation.

What are the most promising future research directions for PHPT1?

Several promising research directions could significantly advance our understanding of PHPT1 biology and its therapeutic potential:

  • Comprehensive substrate identification:

    • Develop improved methodologies for global detection of histidine phosphorylation

    • Conduct proteome-wide screens for PHPT1 substrates across different cell types

    • Characterize the determinants of substrate specificity through structural and mutational analyses

  • Regulation of PHPT1 activity:

    • Identify post-translational modifications that modulate PHPT1 function

    • Characterize protein-protein interactions that regulate PHPT1 localization or activity

    • Investigate transcriptional and post-transcriptional mechanisms controlling PHPT1 expression

  • Physiological roles in vivo:

    • Generate and characterize tissue-specific PHPT1 knockout and knockin mouse models

    • Assess the metabolic consequences of PHPT1 modulation in vivo, particularly in the context of obesity and diabetes

    • Investigate PHPT1's role in immune function in vivo using conditional knockout approaches

  • Therapeutic development:

    • Screen for selective small molecule inhibitors of PHPT1

    • Develop strategies for targeted delivery to relevant tissues like brown adipose tissue

    • Evaluate the efficacy and safety of PHPT1 modulation in preclinical disease models

  • Structural biology:

    • Determine high-resolution structures of PHPT1 in complex with various substrates

    • Investigate the structural basis of phosphohistidine recognition

    • Design rationally engineered PHPT1 variants with altered substrate specificity

Addressing these research directions would not only advance our basic understanding of histidine phosphorylation biology but could also lead to novel therapeutic strategies for conditions ranging from metabolic disorders to immune dysfunction.

What are the key experimental protocols for PHPT1 research?

Protocol TypeMethodKey ParametersApplicationsReference
PHPT1 KnockdownsiRNA transfectionSMART pool reagent with four individual siRNAs; AMAXA electroporation; 72h post-transfection analysisT cell functional studies
PHPT1 Stable KnockdownRetroviral shRNA (pSIREN-RetroQ-DsRed)shPHPT1-3 construct; FACS selection for RFP+ cellsBrown adipocyte differentiation studies
PHPT1 OverexpressionRetroviral vector (pRetroX-IRES-ZsGreen1)FLAG-tagged PHPT1; GFP expression monitoringEffects on adipocyte differentiation
Histidine Phosphorylation DetectionImmunoprecipitation + Western blotAnti-ACLY for IP; anti-pHis for detectionAnalysis of PHPT1 target phosphorylation
Adipocyte Differentiation AssessmentOil-Red-O stainingElution with isopropanol; measurement at 490 nmQuantification of lipid accumulation
Gene Expression AnalysisReal-time PCRNormalization to TATA-box binding protein (TBP)Measurement of adipogenic markers
Functional Channel AssessmentWhole-cell patch clamping72h post-transfection timingMeasurement of KCa3.1 activity

What quantitative changes in PHPT1 expression have been observed during cellular differentiation?

Cell TypeDifferentiation StagePHPT1 mRNA ExpressionPHPT1 Protein ExpressionBiological SignificanceReference
Brown AdipocytesDay 0 (Preadipocytes)High (baseline)High (baseline)Starting point before differentiation
Brown AdipocytesDay 2Markedly decreasedMarkedly decreasedEarly differentiation phase; reduction suggests permissive role for adipogenesis
Brown AdipocytesDay 4Partial recoveryPartial recoveryMid-differentiation phase
Brown AdipocytesDay 6Return to near baselineReturn to near baselineLate differentiation phase; recovery may regulate mature adipocyte function
White Adipocytes (3T3-L1)Day 0 (Preadipocytes)BaselineBaselineStarting point before differentiation
White Adipocytes (3T3-L1)Days 2-8No significant changeNo significant changeSuggests PHPT1 not critically involved in white adipogenesis

What are the effects of PHPT1 manipulation on adipogenic marker expression?

Experimental ConditionPGC1α mRNAPRDM16 mRNAPPARγ mRNAUCP1 mRNAPPARγ ProteinUCP1 ProteinLipid AccumulationReference
Control (SCR shRNA)BaselineBaselineBaselineBaselineBaselineBaselineBaseline
PHPT1 KnockdownIncreased (~2-fold)Increased (~1.5-fold)Increased (~2.5-fold)Increased (~2-fold)IncreasedIncreasedIncreased (~1.5-fold)
Control VectorBaselineBaselineBaselineBaselineBaselineBaselineBaseline
PHPT1 OverexpressionDecreased (~0.5-fold)Decreased (~0.6-fold)Decreased (~0.3-fold)Decreased (~0.4-fold)DecreasedDecreasedDecreased (~0.6-fold)

These quantitative data tables provide researchers with reference points for expected outcomes when manipulating PHPT1 in different experimental systems, facilitating experimental design and interpretation of results.

Product Science Overview

Structure and Expression

Recombinant human PHPT1 is typically expressed in Escherichia coli and purified to a high degree of purity (>95%) for research purposes . The protein consists of 125 amino acids and is often tagged with a His tag at the N-terminus to facilitate purification and detection .

Function and Specificity

PHPT1 catalyzes the reversible dephosphorylation of histidine residues in proteins. This activity is essential for the regulation of various cellular functions, including the dephosphorylation of G-beta and ATP citrate lyase . Additionally, PHPT1 negatively regulates CD4 T lymphocytes by dephosphorylating and inhibiting KCa3.1 channels .

Interestingly, PHPT1 has been shown to dephosphorylate not only phosphohistidine but also phospholysine residues in chemically phosphorylated histone H1 and polylysine . This broader substrate specificity highlights the enzyme’s versatility and potential involvement in diverse cellular processes.

Research Applications

Recombinant human PHPT1 is widely used in biochemical and cellular research to study protein phosphorylation and dephosphorylation mechanisms. Its high purity and activity make it suitable for various applications, including SDS-PAGE and mass spectrometry (MS) analyses .

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