PRKAA2 Antibody, HRP conjugated, is a secondary antibody or direct conjugate that binds specifically to the PRKAA2 protein, a key regulator of cellular energy metabolism. Its HRP conjugation facilitates chromogenic or chemiluminescent detection in assays, enhancing sensitivity for low-abundance targets .
Cusabio’s CSB-PA805325LB01HU: Validated for ELISA, with cross-reactivity confirmed using recombinant PRKAA2 protein .
Avantor’s 77716-982: Purified via Protein G (>95% purity), optimized for ELISA with a recommended dilution of 1:1,000–1:5,000 .
Sensitivity: HRP conjugation enhances detection limits to picogram levels in chemiluminescent assays, as demonstrated in analogous AMPKα2 studies .
Note: HRP-conjugated variants are typically used for endpoint detection in such studies rather than primary target modulation.
Cusabio: Offers standalone ELISA-focused HRP conjugates with detailed epitope mapping .
Avantor: Provides broader application potential (WB compatibility inferred) , though explicit validation data for HRP conjugates in WB is limited.
Species Reactivity: Restricted to human samples in most HRP-conjugated formats .
Cross-Reactivity: Non-conjugated antibodies show reactivity with mouse and rat PRKAA2 , but HRP conjugates may require revalidation for multiplex species assays.
Recent studies highlight PRKAA2’s role in cancer metabolism , necessitating high-sensitivity HRP-conjugated antibodies for translational research. Development of monoclonal HRP conjugates could improve specificity in complex tissue lysates .
PRKAA2 (Protein Kinase AMP-Activated Catalytic Subunit Alpha 2) is a catalytic subunit of AMP-activated protein kinase (AMPK), functioning as an energy sensor protein kinase that plays a key role in regulating cellular energy metabolism. In response to reduction of intracellular ATP levels, AMPK activates energy-producing pathways and inhibits energy-consuming processes, including protein, carbohydrate, and lipid biosynthesis, as well as cell growth and proliferation .
PRKAA2's significance in research stems from its multiple roles:
Regulates lipid synthesis by phosphorylating metabolic enzymes (ACACA, ACACB, GYS1, HMGCR, LIPE)
Controls insulin signaling and glycolysis by phosphorylating IRS1, PFKFB2, PFKFB3
Stimulates glucose uptake in muscle by increasing SLC2A4/GLUT4 translocation
Regulates transcription by phosphorylating factors involved in energy metabolism
HRP-conjugated PRKAA2 antibodies are particularly well-suited for:
The specificity of HRP-conjugated antibodies makes them ideal for detecting both total PRKAA2 and specific phosphorylated forms (pThr172, pS345, pS491) depending on the epitope targeted .
Proper storage is critical for maintaining optimal HRP enzyme activity and antibody binding capacity:
Long-term storage: Store at -20°C in small aliquots to prevent freeze-thaw cycles
Avoid repeated freeze-thaw cycles which can diminish HRP activity and antibody binding
Most commercial preparations contain stabilizers (often glycerol at 50%) and preservatives (sodium azide at 0.02-0.09%)
Research has shown that HRP activity can decrease by approximately 20-30% after 5 freeze-thaw cycles, potentially affecting detection sensitivity in critical AMPK pathway analyses .
Distinguishing between PRKAA1 (AMPKα1) and PRKAA2 (AMPKα2) requires careful experimental design:
Isoform-specific antibodies: Select antibodies that specifically target unique regions of PRKAA2. The calculated molecular weight of PRKAA2 is 62320 Da, which is often observed as a 62-63 kDa band in Western blots .
Knockout validation: Use PRKAA2 knockout/knockdown samples as negative controls. Multiple studies have employed siRNA targeting PRKAA2 to verify antibody specificity .
Phosphosite-specific detection: When studying regulation, use antibodies targeting specific phosphorylated residues unique to PRKAA2, such as:
Tissue expression patterns: PRKAA2 shows tissue-specific expression different from PRKAA1, with higher expression in skeletal muscle and cardiac tissue, which can help in experimental design .
Optimizing signal-to-noise ratio is crucial for detecting specific PRKAA2 signals, especially when studying low-abundance phosphorylated forms:
Blocking optimization:
Antibody concentration titration:
Enhanced washing protocols:
Increase washing stringency with 0.1-0.3% Tween-20 in TBS
Extended washing times (5 × 5 minutes) improve signal clarity for phospho-PRKAA2 detection
Substrate selection:
For low abundance PRKAA2 phospho-forms, enhanced chemiluminescence substrates with higher sensitivity are recommended
For quantitative analyses, consider using fluorescent secondary antibodies instead of HRP conjugates
AMPK activation is a dynamic process that requires careful experimental design:
Temporal resolution planning:
AMPK Thr172 phosphorylation typically peaks at 5-30 minutes after stimulus
S345 and S491 phosphorylation may show different kinetics
Include both early (0, 5, 15, 30 min) and late (1, 2, 6, 24 hr) time points
Stimulus selection:
Sample processing optimization:
Rapid lysis in phosphatase inhibitor-containing buffers
Immediate denaturation in SDS sample buffer for phospho-preservation
Consistent protein loading verified by total protein staining methods
Multi-parameter analysis:
Probe for multiple phosphorylation sites (Thr172, S345, S491)
Include downstream targets like Acetyl-CoA Carboxylase phosphorylation
Monitor changes in subcellular localization via fractionation or immunofluorescence
Multiple band patterns for PRKAA2 may have biological significance:
To address variability, researchers should:
Include proper controls (recombinant PRKAA2, tissue lysates with known expression)
Use multiple antibodies targeting different epitopes
Verify with genetic approaches (siRNA, CRISPR/Cas9 knockout)
Consider phosphatase treatment to confirm phospho-specific signals
Rigorous validation of phospho-specific PRKAA2 antibodies is essential:
Phosphatase treatment controls:
Treatment of duplicate samples with lambda phosphatase should eliminate signal from phospho-specific antibodies
Maintain untreated controls processed identically to confirm specificity
Pharmacological manipulation:
AMPK activators (AICAR, A-769662, metformin) should increase phosphorylation signal
Compound C (AMPK inhibitor) should decrease phosphorylation
Temporal changes should follow known AMPK activation kinetics
Genetic validation:
Cross-validation with multiple detection methods:
Compare results between Western blot, immunofluorescence, and ELISA
Verify subcellular localization of phosphorylated forms using cellular fractionation
Consider mass spectrometry-based validation for absolute confirmation
Contradictory results in PRKAA2 phosphorylation studies often arise from methodological differences:
Tissue/cell-specific regulation:
PRKAA2 regulation varies significantly between tissues (liver, muscle, brain)
Different cell types express varying levels of upstream kinases (LKB1, CaMKKβ)
Consider tissue-specific AMPK complexes with different β/γ subunit compositions
Environmental conditions:
Nutrient status affects basal AMPK activation
Cell confluence can impact AMPK signaling
Standardize culture conditions (glucose concentration, serum levels)
Technical considerations:
Lysis buffers affect phospho-epitope preservation
Sample processing time impacts phosphorylation status
Antibody lot-to-lot variation may occur
Resolution approaches:
Include multiple phosphorylation sites in analysis (Thr172, S345, S491)
Verify with functional readouts (downstream target phosphorylation)
Employ parallel approaches (activity assays alongside phospho-detection)
PRKAA2 plays important roles in autophagy and mitochondrial dynamics that can be studied using specialized approaches:
Autophagy studies:
Recent research shows PRKAA2 mediates anti-ferroptotic and autophagy functions
Co-detection with autophagy markers (LC3-II, p62) using multiplex immunofluorescence
Use phospho-ULK1 (Ser555) detection as functional readout of AMPK-mediated autophagy induction
Implement flux assays with bafilomycin A1 to assess AMPK's role in autophagosome formation versus degradation
Mitochondrial dynamics:
PRKAA deletion promotes mitochondrial fragmentation in vascular endothelial cells
Combine PRKAA2 detection with MitoTracker staining and fission/fusion protein immunolabeling
Time-lapse imaging with fluorescently-tagged mitochondria following AMPK manipulation
Quantify mitochondrial morphology parameters (length, interconnectivity) in relation to PRKAA2 activation
Experimental approaches:
PRKAA2 has emerged as a potential diagnostic and prognostic marker in cancer research:
Cancer-specific expression patterns:
Functional studies:
Technical approaches:
Tissue microarray analysis with HRP-conjugated antibodies
Correlation of PRKAA2 expression/phosphorylation with clinical outcomes
Combined detection with proliferation markers (Ki-67) and ferroptosis indicators
Validation in patient samples:
Use multiple detection methods (IHC, WB, qRT-PCR)
Include proper controls (adjacent normal tissue)
Correlate with metabolic parameters (glucose uptake, lipid profiles)
Studying PRKAA2 in the context of broader signaling networks requires advanced multiplex approaches:
Sequential immunoblotting:
Use mild stripping protocols to preserve membrane integrity
Start with phospho-specific antibodies before total protein detection
Consider size separation when planning multiplex detection
Multiplex fluorescence immunohistochemistry:
Utilize tyramide signal amplification for sequential HRP-based detection
Carefully select fluorophores with minimal spectral overlap
Include phospho-PRKAA2 detection alongside pathway components of interest:
mTOR pathway (phospho-S6K, phospho-4EBP1)
Autophagy (LC3, ULK1)
Metabolic enzymes (ACC, HMGCR)
Proximity ligation assays (PLA):
Study direct interactions between PRKAA2 and binding partners
Detect activation-dependent interactions with substrates
Visualize subcellular compartmentalization of interactions
Pathway analysis validation:
Confirm pathway connections using pharmacological modulators
Genetic manipulation of upstream/downstream components
Temporal resolution of signaling events following stimulus