PFK6 Antibody

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Description

PFKP (Phosphofructokinase Platelet-Type) Antibodies

  • Antibody #5412 (Cell Signaling Technology) :

    • Applications: Western Blot (WB), Immunoprecipitation (IP)

    • Reactivity: Human, Monkey

    • Molecular Weight: 80 kDa

    • Validation: Detects endogenous PFKP levels (Fig. 1B in confirms overexpression in glioblastoma).

  • PFKP Phosphorylation-Specific Antibodies :

    • Target: Phospho-PFKP (S386)

    • Function: AKT-mediated phosphorylation stabilizes PFKP, enhancing glycolysis in cancer cells.

    • Validation: Specificity confirmed via RNAi rescue experiments and phospho-blocking peptides (Supplementary Fig. 3e in ).

PFKFB3 (PFKFB3 Isoform) Antibodies

  • Anti-PFKFB3 (phospho S461) [EPR19735] (ab202291) :

    • Applications: WB, Immunofluorescence (IF)

    • Specificity: Detects phosphorylation at S461; validated using HEK-293T cells transfected with WT vs. S461A mutant PFKFB3 (Fig. 2 in ).

    • Reactivity: Human, Mouse

  • Functional Role :

    • Glycolytic Regulation: PFKFB3 maintains glycolytic flux under EGFR inhibitor therapy in NSCLC cells (Fig. 1A in ).

    • Nuclear Localization: Drives proliferation via cyclin-dependent kinases (CDKs) (Fig. 3 in ).

PFKFB4 (PFKFB4 Isoform) Antibodies

  • Research Findings :

    • Autophagy Modulation: PFKFB4 knockdown increases p62/SQSTM1 and ROS, altering redox balance in prostate cancer cells (Fig. 2 in ).

    • Therapeutic Target: Linked to pentose phosphate pathway flux and oxidative stress responses.

Comparative Analysis of PFK-Related Antibodies

TargetAntibody IDApplicationsKey FindingsCitations
PFKP#5412WB, IPOverexpressed in glioblastoma; AKT-stabilized
PFKP (pS386)Custom (Cell Signaling)WB, IFAKT1-dependent phosphorylation in NSCLC
PFKFB3 (pS461)ab202291WB, IFValidated in HEK-293T transfection models
PFKFB4shRNA-based screeningFunctional assaysRegulates autophagy via ROS/p62 pathway

Mechanistic Insights from Antibody Studies

  • PFKP in Cancer Metabolism :

    • High PFKP expression correlates with poor prognosis in 33 cancer types (TCGA data) .

    • AKT stabilizes PFKP via S386 phosphorylation, promoting the Warburg effect in glioblastoma (Fig. 3f–h in ).

  • PFKFB3 in Therapy Resistance :

    • Maintains glycolytic flux under erlotinib treatment via F2,6BP production (Fig. 4 in ).

    • Nuclear PFKFB3 enhances CDK4/6 activity, driving cell cycle progression (Fig. 5 in ).

  • PFKFB4 in Redox Balance :

    • Loss of PFKFB4 increases autophagic flux and ROS, suggesting dual roles in stress adaptation.

Clinical and Research Applications

  • Diagnostic Biomarkers: PFKP overexpression serves as a pan-cancer prognostic marker (AUC = 0.78–0.91 for PD-L1 correlation) .

  • Therapeutic Targeting: PFKFB3 inhibitors (e.g., PFK-158) impair glucose rerouting in TKI-resistant cancers .

  • Immune Modulation: PFKP phosphorylation alters T-reg cell metabolism, impacting immunosuppression in lupus models .

Technical Validation and Challenges

  • Specificity Issues: Phospho-specific antibodies (e.g., ab202291) require validation via mutagenesis (e.g., S461A) .

  • Cross-Reactivity: PFKFB2 antibodies (e.g., STJA0010083) show heart-specific expression but may cross-react with other isoforms .

Product Specs

Buffer
Preservative: 0.03% ProClin 300; Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
14-16 week lead time (made-to-order)
Synonyms
PFK6 antibody; At4g32840 antibody; T16I18.50 antibody; ATP-dependent 6-phosphofructokinase 6 antibody; ATP-PFK 6 antibody; Phosphofructokinase 6 antibody; EC 2.7.1.11 antibody; Phosphohexokinase 6 antibody
Target Names
PFK6
Uniprot No.

Target Background

Function
This antibody targets phosphofructokinase 6 (PFK6), an enzyme that catalyzes the ATP-dependent phosphorylation of D-fructose 6-phosphate to fructose 1,6-bisphosphate. This reaction represents the first committed step in the glycolytic pathway.
Database Links

KEGG: ath:AT4G32840

STRING: 3702.AT4G32840.1

UniGene: At.31631

Protein Families
Phosphofructokinase type A (PFKA) family, PPi-dependent PFK group II subfamily, Atypical ATP-dependent clade "X" sub-subfamily
Subcellular Location
Cytoplasm. Note=May be associated with the outer membrane of mitochondria.
Tissue Specificity
Expressed in roots, leaves, stems and flowers.

Q&A

What is the optimal sample preparation method for PFK-B antibody in Western blot applications?

For optimal results when using PFK-B antibodies in Western blot applications, sample preparation should include:

  • Use of appropriate lysis buffers containing protease inhibitors to prevent degradation of the target protein

  • Preparation of fresh samples when possible, or proper storage at -20°C for long-term and 4°C for short-term use

  • Avoid repeated freeze-thaw cycles which can affect protein integrity

  • Dilute the antibody between 1:500-1:2000 as recommended for Western blot applications

The validation data from commercial sources shows effective detection of PFK-B in multiple cell lines including A549 and 3T3 cells . For consistent results, maintain the protein concentration between 0.05-0.1 units/ml in immunoprecipitation assays using 50 mM potassium fluoride buffer containing 5 mM EDTA, 5 mM ammonium sulfate, 0.6 mM AMP, 3 mM dithiothreitol, and 0.6 mM fructose 6-phosphate .

How can I validate the specificity of anti-PFK-B antibodies for my research?

Validating antibody specificity is crucial before proceeding with experiments. For PFK-B antibodies, consider these methodological approaches:

  • Positive and negative controls: Use tissues or cell lines known to express high levels of PFKL (like liver tissues) alongside those with minimal expression

  • Blocking peptide experiments: Utilize the commercially available blocking peptide corresponding to the antibody's immunogen to confirm specificity

  • Cross-reactivity testing: If working with unusual species, test cross-reactivity with your species of interest, noting that anti-PFK-B antibodies are typically validated for human, mouse, and rat samples

  • Molecular weight confirmation: Verify that the detected band appears at the expected molecular weight (observed at approximately 39 kDa, although the calculated molecular weight is around 85 kDa)

When considering antibody specificity, it's important to understand that monoclonal antibodies offer higher specificity than polyclonal alternatives, though the latter may provide greater sensitivity across different applications .

Can PFK-B antibodies be used for immunohistochemistry on fixed tissues?

While many commercially available PFK-B antibodies are primarily validated for Western blot applications, researchers often inquire about their utility in immunohistochemistry. Based on available data:

  • PFK-B antibodies have not been extensively validated for paraffin-embedded section applications, but paraformaldehyde (PFA) fixation is recommended when attempting this application

  • Fresh PFA preparation is crucial as long-term stored PFA converts to formalin as the molecules congregate, potentially affecting antigen recognition

  • For frozen tissues, validation data is limited, suggesting the need for optimization

  • If using for novel applications beyond the validated Western blot, consider preliminary testing with appropriate positive controls

Researchers interested in using PFK-B antibodies for IHC on frozen human kidney samples would benefit from preliminary validation studies, as some manufacturers offer incentives for researchers who validate their antibodies for new applications .

How can I differentiate between different PFK isozymes in complex biological samples?

Phosphofructokinase exists as multiple isozymes composed of different subunit combinations (M, L, and P types). Differentiating between these isozymes requires sophisticated methodological approaches:

  • Subunit-specific monoclonal antibodies: Use antibodies specifically targeting M or L subunits, such as anti-M (V96-26) and anti-L (V65-06) monoclonal antibodies

  • Chromatographic separation: DEAE-Sephadex A-25 column chromatography can effectively separate PFK isozymes based on their subunit composition

  • Enzyme immunoprecipitation assays: Mix diluted PFK preparation (0.05-0.1 units/ml) with diluted antibody preparations to selectively precipitate specific isozymes

  • Multiple antibody approach: Compare results using different antibodies recognizing distinct epitopes on PFK subunits

Research has shown that normal cells express all three PFK subunits, resulting in 10-12 chromatographically distinguishable species, while cells deficient in specific subunits (e.g., M-deficient patients) show a restricted pattern of just five isozymes composed only of P and L subunits .

What methodologies can improve antibody specificity for highly similar PFK epitopes?

When researching closely related PFK isozymes or similar epitopes, standard antibodies may not provide adequate discrimination. Advanced methodological approaches include:

  • Biophysics-informed modeling: Using computational methods to identify distinct binding modes associated with specific ligands, allowing prediction and generation of antibody variants with enhanced specificity

  • Phage display selection: Conducting phage display experiments against various combinations of ligands to select antibodies with desired specificity profiles

  • Energy function optimization: Generating new antibody sequences by optimizing energy functions associated with desired binding modes; minimizing functions for cross-specificity and manipulating them for ligand specificity

  • Structural plasticity engineering: Designing antibodies with enhanced conformational flexibility that can recognize multiple distinct epitopes without increasing entropic costs

Research has demonstrated successful design of antibodies with customized specificity profiles, either with high affinity for particular target ligands or with cross-specificity for multiple target ligands . The thermodynamic properties of these antibodies often show large favorable entropy changes compared to single-specificity antibodies .

How can I analyze the thermodynamic properties of PFK antibody-antigen interactions?

Understanding the thermodynamic parameters of antibody-antigen interactions provides crucial insights into binding mechanisms:

  • Isothermal Titration Calorimetry (ITC): Directly measures heat changes during binding to determine enthalpy (ΔH), entropy (ΔS), and binding affinity (Kd)

  • Surface Plasmon Resonance (SPR): Determines kinetic parameters (kon and koff) to derive thermodynamic constants

  • Differential Scanning Calorimetry (DSC): Measures thermal stability changes upon antigen binding

  • Entropy dissection analysis: Separates configurational entropy from other entropic components

Research on dual-specific antibodies has revealed that high-affinity binding can be achieved through different thermodynamic mechanisms. While some antibody-antigen interactions are characterized by large favorable enthalpy changes, others (particularly those with dual specificity) demonstrate large favorable entropy changes . This suggests that structural plasticity without increased entropic penalty can facilitate multi-specificity in antibodies.

Antibody TypeThermodynamic ProfileStructural CharacteristicsReference
Single-specific (e.g., Herceptin)Large favorable enthalpy changeLimited structural plasticity
Dual-specific variantsLarge favorable entropy changeSignificant structural plasticity

What are the optimal storage and handling conditions for maintaining PFK-B antibody activity?

Preserving antibody functionality requires careful attention to storage and handling:

  • For long-term storage, maintain antibodies at -20°C for up to one year

  • For frequent use over shorter periods (up to one month), store at 4°C

  • Avoid repeated freeze-thaw cycles which significantly reduce antibody performance

  • Store in appropriate buffer formulations, typically containing 50% glycerol, 0.5% BSA and 0.02% sodium azide in PBS

When planning experiments over extended periods, consider aliquoting the antibody into single-use portions to minimize the impact of repeated freeze-thaw cycles on performance and consistency.

How should I design experiments to investigate PFK isozyme expression in pathological conditions?

When investigating PFK isozyme expression in pathological states such as metabolic disorders or cancer:

  • Appropriate controls: Include age-matched and tissue-matched controls alongside pathological samples

  • Multiple detection methods: Combine Western blot with enzyme activity assays to correlate protein levels with functional effects

  • Isozyme profiling: Use subunit-specific antibodies to determine the relative expression of different PFK isozymes

  • Chromosomal analysis: Consider chromosomal abnormalities that might affect PFK gene expression, such as in trisomy 21 where increased L4 PFK species have been observed

Research has shown that individuals with trisomy 21 exhibit a 20-60% increase in PFK activity and a striking increase in L4 species, demonstrating the importance of gene dosage in metabolic enzyme expression . Understanding these patterns can provide insights into disease mechanisms and potential therapeutic approaches.

How can I address non-specific binding issues with PFK-B antibodies?

Non-specific binding is a common challenge in antibody-based experiments. For PFK-B antibodies, consider these troubleshooting approaches:

  • Optimization of blocking conditions: Test different blocking agents (BSA, non-fat milk, casein) at various concentrations

  • Titration of antibody concentration: Perform dilution series to determine optimal antibody concentration

  • Buffer optimization: Adjust salt concentration and detergent levels to reduce non-specific interactions

  • Pre-clearing samples: Remove potentially cross-reactive components before antibody application

  • Validation with blocking peptides: Use specific blocking peptides available for PFK-B antibodies to confirm specificity of binding

When analyzing Western blot results, remember that the observed molecular weight of PFK-B (39 kDa) may differ from the calculated molecular weight (85 kDa), which is common for many proteins due to post-translational modifications or proteolytic processing .

What strategies can resolve discrepancies between experimental results using different PFK antibodies?

When facing inconsistent results between experiments using different PFK antibodies:

  • Epitope mapping: Determine the specific epitopes recognized by each antibody, as different epitopes may be differentially accessible in various experimental conditions

  • Isozyme specificity analysis: Assess whether antibodies recognize different PFK isozymes or subunits

  • Cross-validation with orthogonal methods: Confirm results using non-antibody based techniques such as mass spectrometry

  • Sequential immunoprecipitation: Use one antibody for immunoprecipitation followed by detection with another to verify consistency

Research on anti-M and anti-L monoclonal antibodies has shown how they can be used to analyze PFK isozyme compositions. For example, anti-M antibodies precipitated only 50% of PFK from trisomy 21 RBCs compared to 80% from normal individuals, reflecting an increase in anti-M-resistant isozymes in the trisomic condition .

How might computational approaches enhance the development of next-generation PFK-specific antibodies?

Emerging computational methodologies offer promising avenues for antibody development:

  • Biophysics-informed modeling: Using computational models trained on experimental data to predict and generate antibody variants with desired specificity profiles

  • Multiple binding mode identification: Computational approaches can identify different binding modes associated with specific ligands, enabling the design of antibodies with customized specificity

  • Energy function optimization: Optimizing energy functions associated with different binding modes to generate novel antibody sequences with predefined binding profiles

  • Integration with high-throughput experimental data: Combining computational predictions with phage display experiments to validate and refine antibody designs

Research has demonstrated successful application of these approaches in generating antibodies with either cross-specificity for multiple ligands or high specificity for a single ligand while excluding others . These methodologies represent the future of rational antibody design for complex research applications.

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