The GNA12 antibody, Biotin conjugated, is a specialized immunological reagent designed for detecting the GNA12 protein (Guanine Nucleotide Binding Protein, G Protein alpha 12) in research applications. Biotin conjugation enables high-affinity binding to streptavidin or avidin-based detection systems, enhancing sensitivity in techniques like ELISA, immunofluorescence (IF), and immunohistochemistry (IHC). These antibodies are critical for studying GNA12’s role in signaling pathways, including RhoA-mediated cytoskeletal reorganization, cell migration, and cancer progression .
Biotin-conjugated GNA12 antibodies are optimized for high-throughput and multiplexed detection systems.
Used for quantifying GNA12 protein levels in lysates or serum. For example:
Protocol: Antibodies are diluted to 1:20,000–1:40,000 in ELISA buffer .
Example: ABIN7154732 (AA 112–270) detects endogenous GNA12 in human cell lysates, enabling precise quantification of protein expression .
Applied to paraffin-embedded or frozen tissue sections to localize GNA12 in cancerous or inflammatory tissues:
Workflow:
Utilized to visualize GNA12 subcellular localization (e.g., plasma membrane or cytoplasmic regions):
Example: ABIN753960 (AA 301–381) detects GNA12 in human placenta and liver cancer tissues, highlighting its role in cell adhesion and migration .
GNA12 promotes tumor progression via RhoA/ROCK signaling, enhancing invasion and metastasis . Biotin-conjugated antibodies in studies like validated GNA12’s upregulation of pro-tumorigenic genes (e.g., AKT1, VEGFA) in ovarian cancer, while silencing GNA12 suppressed these pathways.
GNA12 modulates macrophage migration by interacting with C5aR1 and PLCβ2, inhibiting excessive chemotaxis . Biotin-conjugated antibodies could enable detailed mapping of GNA12’s interactions in immune cells.
Proteasomal Regulation: GNA12 suppresses proteasomal degradation pathways (e.g., APC/C-mediated ubiquitination), influencing cell cycle control and apoptosis .
NF-κB Signaling: GNA12/RhoA signaling negatively regulates NF-κB activation, reducing pro-inflammatory gene expression in macrophages .
GNA12 (Guanine Nucleotide Binding Protein alpha 12) functions as a modulator or transducer in various transmembrane signaling systems. This G protein activates effector molecule RhoA by binding and activating RhoGEFs, which subsequently regulates transcription factor AP-1 and protein phosphatase 2A activation. GNA12 plays critical roles in promoting tumor cell invasion and metastasis by activating the RhoA/ROCK signaling pathway and upregulating pro-inflammatory cytokine production . It also inhibits CDH1-mediated cell adhesion and may participate in controlling cell migration through the TOR signaling cascade .
Biotin conjugation provides significant advantages for GNA12 detection by enabling signal amplification through high-affinity streptavidin interactions. This conjugation allows for enhanced sensitivity in detection systems while maintaining the specificity of the antibody for the amino acid region 112-270 of GNA12 . The biotin tag enables versatile applications including multi-color immunofluorescence, immunoprecipitation, and chromatin immunoprecipitation without requiring additional secondary antibodies.
Proper validation of GNA12 biotin-conjugated antibody requires multiple complementary approaches:
Positive and negative controls: Use tissues or cell lines with known GNA12 expression levels. For negative controls, Gna12 knockout models (as described in the provided research) offer ideal specificity verification .
Knockdown validation: Perform siRNA-mediated knockdown experiments, similar to the approach documented where siGα12 was used to validate GNA12 detection specificity in AML12 cells .
Cross-reactivity assessment: Evaluate potential cross-reactivity with other G-protein subunits, particularly those with sequence homology to the 112-270 amino acid region of GNA12.
Application-specific validation: For ELISA applications, establish standard curves using recombinant GNA12 proteins, and determine the linear detection range of the antibody .
Secondary detection validation: When using streptavidin conjugates, include appropriate blocking steps to minimize non-specific binding, particularly in tissues with endogenous biotin.
Sample preparation protocols should be optimized based on the specific application:
Lyse cells or tissues in buffer containing protease inhibitors to prevent degradation of GNA12
Perform protein extraction under conditions that preserve native protein conformation
Include phosphatase inhibitors if phosphorylation states of GNA12 or its targets are relevant
Load 20-50 μg of total protein per lane and separate using 10-12% SDS-PAGE
Fix tissues with 4% paraformaldehyde or 10% neutral buffered formalin
Perform antigen retrieval (heat-induced epitope retrieval in citrate buffer, pH 6.0)
Block endogenous biotin using avidin/biotin blocking kits to prevent non-specific binding
Include permeabilization steps (0.1-0.5% Triton X-100) for intracellular epitope access
Coat plates with capture antibody specific to GNA12 at optimal concentration
Block with protein-free blocking buffer to reduce background
Apply diluted samples and standards within the established linear range
Use streptavidin-HRP for detection with appropriate substrate
The biotin-conjugated GNA12 antibody (AA 112-270) has been validated for ELISA applications . While the search results confirm ELISA validation, additional applications may include:
Potential Applications (requiring validation):
Immunoprecipitation: The biotin tag facilitates pull-down with streptavidin beads
Flow cytometry: For detecting intracellular GNA12 after appropriate permeabilization
Immunofluorescence: Visualization of GNA12 localization using streptavidin-fluorophore conjugates
Chromatin immunoprecipitation: If studying GNA12 interactions with DNA-binding proteins
The antibody has been validated only for human reactivity, which may limit cross-species applications
As a polyclonal antibody, batch-to-batch variation may affect consistency in long-term studies
The biotin conjugation may interfere with epitope recognition in certain contexts
Background signal in biotin-rich tissues may require additional blocking steps
Recent research has identified an inverse correlation between GNA12 and GPX4 levels upon ferroptosis induction . To investigate this relationship using the biotin-conjugated GNA12 antibody:
Dual immunostaining protocol:
Process tissue sections through standard fixation and antigen retrieval
Block endogenous biotin
Incubate with GNA12 biotin-conjugated antibody and anti-GPX4 antibody
Develop using streptavidin-coupled fluorophore (for GNA12) and species-specific secondary antibody (for GPX4)
Quantify colocalization or expression pattern relationships
Ferroptosis induction studies:
Treat cells with ferroptosis inducers (BSO or Erastin) at varying concentrations
Monitor GNA12 expression levels via western blotting or immunofluorescence
Correlate changes in GNA12 expression with GPX4 levels and cell death markers
Include ferroptosis inhibitors (such as Fer-1) as controls to validate the specificity of the response
Knockdown/overexpression approaches:
Multiplex imaging with biotin-conjugated GNA12 antibody requires careful experimental design:
Sequential staining strategy:
Apply the GNA12 biotin-conjugated antibody first, followed by streptavidin detection
Block remaining biotin binding sites completely before introducing additional antibodies
Choose fluorophores with minimal spectral overlap for multiplexed detection
Crosstalk prevention measures:
Implement spectral unmixing during image acquisition or analysis
Use primary antibodies from different host species to enable species-specific secondary detection
Consider tyramide signal amplification for sequential multispectral imaging
Controls for multiplex validation:
Single-stain controls for each antibody to assess bleed-through
Isotype controls to evaluate non-specific binding
Absorption controls where primary antibodies are pre-incubated with corresponding antigens
Quantitative analysis approach:
Employ automated image analysis algorithms for colocalization quantification
Use nuclear counterstains for cell identification and normalization
Implement tissue segmentation to differentiate cell types or tissue compartments
Cross-reactivity can compromise experimental results, particularly when studying G proteins with structural similarities. To address this:
Comprehensive validation strategy:
Test the antibody on samples with confirmed GNA12 knockdown/knockout
Compare staining patterns with antibodies targeting different GNA12 epitopes
Perform peptide competition assays using the immunizing peptide (AA 112-270)
Pre-absorption protocol:
Incubate the antibody with excess recombinant GNA12 protein
Use this pre-absorbed antibody as a negative control in parallel experiments
Any remaining signal may indicate cross-reactivity with other proteins
Western blot verification:
Cross-species reactivity assessment:
While the antibody is specified for human reactivity, carefully validate any cross-species applications
Include appropriate positive and negative controls from each species
Consider sequence homology analysis between species for the target epitope region
Maximizing specific signal while minimizing background is critical for obtaining reliable data:
Antibody titration experiment:
Test serial dilutions of the antibody (typically 1:100 to 1:2000) to determine optimal concentration
Identify the dilution that provides maximum specific signal with minimal background
Document optimal conditions for each application and sample type
Blocking optimization:
Test different blocking agents (BSA, normal serum, commercial blockers)
Implement specific avidin/biotin blocking for tissues with high endogenous biotin
Increase blocking duration for tissues prone to non-specific binding
Detection system enhancement:
For low-abundance targets, consider tyramide signal amplification after streptavidin-HRP binding
Optimize incubation times for streptavidin conjugates
Use low-fluorescence or low-autofluorescence mounting media for imaging applications
Sample-specific considerations:
The provided research highlights GNA12's importance in liver injury and ferroptosis. To investigate this role:
Liver injury model analysis:
Process liver sections from models of drug-induced liver injury (e.g., APAP treatment)
Perform immunohistochemistry using the biotin-conjugated GNA12 antibody
Quantify GNA12 expression in relation to damage markers and GPX4 levels
Correlate GNA12 expression with serum ALT/AST levels and liver-to-body weight ratios
Zonal distribution assessment:
Map GNA12 expression across hepatic lobules in normal and injured livers
Combine with markers of zonation to determine zone-specific expression patterns
Correlate zonal expression with susceptibility to injury in different hepatic zones
Co-expression analysis with inflammatory markers:
Intervention studies:
Differentiating GNA12-specific effects from other G-protein signaling requires strategic experimental design:
Genetic manipulation approach:
Pharmacological dissection:
Employ selective inhibitors of downstream pathways (RhoA/ROCK inhibitors)
Compare effects of pathway inhibition versus Gna12 knockout
Use temporally controlled inhibition to distinguish between direct and compensatory effects
Protein-protein interaction analysis:
Perform co-immunoprecipitation using the biotin-conjugated antibody and streptavidin beads
Identify interaction partners through mass spectrometry
Validate interactions through proximity ligation assays in intact cells or tissues
Transcriptional profiling comparison: