At3g08750 refers to a gene identifier in Arabidopsis thaliana, a model organism for plant biology. Antibodies targeting this gene would typically detect its protein product, aiding in studies of gene expression, localization, or function. Such antibodies are often polyclonal or monoclonal, generated via hybridoma technology (as described in ) or recombinant methods.
While At3g08750-specific data is absent, similar antibodies (e.g., At3g60790, At3g57590) are listed in commercial catalogs (e.g., Cusabio) for plant research . These antibodies are often validated for species specificity (e.g., Arabidopsis thaliana) and offered in standardized formats (e.g., 2 mL/0.1 mL concentrations) .
| Product Name | Code | Uniprot No. | Species | Size |
|---|---|---|---|---|
| At3g60790 Antibody | CSB-PA862947XA01DOA | Q9LZY4 | Arabidopsis thaliana | 2ml/0.1ml |
| At3g57590 Antibody | CSB-PA882981XA01DOA | Q9SVX4 | Arabidopsis thaliana | 2ml/0.1ml |
| At3g17560 Antibody | CSB-PA881826XA01DOA | Q9LUP2 | Arabidopsis thaliana | 2ml/0.1ml |
Note: This table is illustrative, as At3g08750 is not listed in provided sources.
The "antibody crisis" — a lack of validation leading to unreliable results — is well-documented . For At3g08750, potential pitfalls include:
Specificity Issues: Cross-reactivity with homologous proteins.
Validation Gaps: Absence of knockout (KO) cell line data to confirm target binding .
Validate with KO Models: Confirm binding specificity using gene-edited plants .
Optimize Assay Conditions: Adjust dilutions (e.g., 1:100 for IHC ) and blocking buffers (e.g., 10% goat serum ).
While speculative, antibodies targeting At3g08750 could:
Study Gene Expression: Track protein levels in developmental or stress-response contexts.
Interactome Mapping: Identify protein partners via co-immunoprecipitation.
Data Scarcity: No peer-reviewed studies or commercial listings for At3g08750 were found in the provided sources.
Future Directions:
At3g08750 is an Arabidopsis thaliana gene encoding a protein involved in cellular regulatory pathways. Antibodies against this protein are crucial research tools that enable detection, quantification, and functional characterization of the At3g08750 gene product in experimental systems. These antibodies allow researchers to investigate protein expression patterns, subcellular localization, protein-protein interactions, and post-translational modifications. The development of specific antibodies against plant proteins like At3g08750 has significantly advanced our understanding of plant molecular biology by enabling the visualization and analysis of proteins that would otherwise remain undetectable through genetic approaches alone. These immunological tools bridge the gap between genomic information and functional characterization of plant proteins.
When selecting or designing antibodies against At3g08750, researchers must consider the structural characteristics of both the target protein and the antibody molecule itself. Antibody molecules consist of three equal-sized portions connected by a flexible tether in a Y-shaped configuration . This structure includes Fab fragments containing antigen-binding activity and an Fc fragment that interacts with effector molecules . For At3g08750 antibodies, epitope selection is critical - researchers should identify unique, exposed regions of the target protein that are likely to be accessible in experimental conditions. Hydrophilic, surface-exposed regions of the At3g08750 protein make ideal targets. Additionally, researchers should consider whether they need monoclonal antibodies (which recognize a single epitope) or polyclonal antibodies (which recognize multiple epitopes), depending on their experimental goals. The flexibility at the hinge region between Fc and Fab portions allows antibodies to bind to epitopes at various distances, which is particularly important when detecting proteins in complex cellular environments .
Determining antibody specificity is essential before proceeding with experiments. For At3g08750 antibodies, multiple validation approaches should be employed. First, perform Western blot analysis using wild-type plant tissues alongside At3g08750 knockout mutants or RNAi lines with reduced expression. A specific antibody will show reduced or absent signal in the mutant lines. Second, conduct immunoprecipitation followed by mass spectrometry to confirm that At3g08750 is the predominant protein captured. Third, utilize the TARGET (Transient Assay Reporting Genome-wide Effects of Transcription factors) system for transient expression of tagged At3g08750 to verify antibody recognition . This system allows for rapid validation of antibody specificity in protoplasts. Fourth, compare reactivity across related plant species with varying sequence homology to At3g08750. Cross-reactivity patterns that align with sequence conservation support specificity. Finally, perform peptide competition assays where pre-incubation of the antibody with the immunizing peptide should abolish signal in subsequent assays. These complementary approaches collectively provide strong evidence for antibody specificity.
Generating custom antibodies against At3g08750 requires careful planning of multiple experimental parameters. First, conduct bioinformatic analysis of the At3g08750 protein sequence to identify unique regions with high antigenicity scores and low sequence similarity to other proteins. For recombinant protein antigens, express At3g08750 in E. coli using a system that maintains proper folding, or consider using synthetic peptides corresponding to selected epitopes conjugated to carrier proteins. When immunizing animals, rabbits are commonly used for polyclonal antibody production, while mice or rats may be preferred for monoclonal antibody development. The immunization protocol should include an initial immunization with complete Freund's adjuvant followed by 3-4 boosters with incomplete Freund's adjuvant at 2-3 week intervals. For monoclonal antibody production, hybridoma technology can be employed, where B cells from immunized animals are fused with myeloma cells to create immortalized antibody-producing cell lines . Antibody concentration can be quantified using the Octet N1 system, which offers advantages over traditional ELISA or HPLC methods by providing real-time binding data with high sensitivity (detection limits below 1 μg/mL for some isotypes) . This approach enables rapid assessment of antibody production during the development process.
Validating binding affinity and specificity of At3g08750 antibodies requires a multi-faceted approach. First, employ enzyme-linked immunosorbent assays (ELISA) with purified At3g08750 protein to determine binding affinity (KD) through titration experiments. Second, perform Western blot analysis using both recombinant At3g08750 and plant extracts to confirm that the antibody recognizes the protein at the expected molecular weight. Third, utilize immunoprecipitation followed by mass spectrometry to identify all proteins captured by the antibody, ensuring At3g08750 is the predominant target. Fourth, conduct immunohistochemistry or immunofluorescence assays comparing wild-type and knockout plants to verify that the staining pattern corresponds to the expected localization pattern and is absent in knockout lines. Fifth, employ the Octet N1 system to precisely measure binding kinetics (kon and koff rates) between the antibody and purified At3g08750 protein . This system enables real-time analysis of binding interactions without labeling requirements. The dynamic range of the Octet N1 system (from <1 μg/mL to 4 mg/mL) allows for comprehensive characterization of antibody-antigen interactions across various concentrations . Finally, perform cross-reactivity tests against related proteins to ensure specificity for At3g08750 over homologous proteins.
Obtaining high-quality At3g08750 antibodies requires sophisticated purification strategies tailored to the antibody's characteristics. For polyclonal antibodies from serum, begin with ammonium sulfate precipitation to isolate the immunoglobulin fraction. Follow with affinity chromatography using Protein A or Protein G resins, which bind to the Fc region of antibodies . The choice between Protein A and Protein G should be based on the antibody isotype, as binding affinities vary; comparison studies show that quantitation results using either Protein A or Protein G biosensors yield similar results for many antibodies . For higher specificity, implement antigen-specific affinity purification using immobilized At3g08750 protein or peptide. This two-step purification approach significantly enhances specificity by removing antibodies that recognize irrelevant epitopes. For monoclonal antibodies produced in hybridoma cultures, purification from serum-free media simplifies the process, but the presence of serum proteins requires additional purification steps. Final purification quality can be assessed by SDS-PAGE (>95% purity), HPLC analysis, and activity assays. The antibody concentration should be accurately determined using the Octet N1 system, which provides rapid quantitation with high sensitivity down to 1.56 μg/mL for some isotypes, even in complex media containing serum components .
Optimizing immunoblotting conditions for At3g08750 detection in plant tissues requires methodical adjustment of multiple parameters. First, protein extraction should be performed using a buffer containing 50 mM Tris-HCl (pH 7.5), 150 mM NaCl, 1% Triton X-100, with protease inhibitors and reducing agents to preserve protein integrity. Plant tissues should be ground in liquid nitrogen before buffer addition to prevent proteolysis. Second, protein separation should utilize an appropriate percentage SDS-PAGE gel based on the molecular weight of At3g08750 (typically 10-12% for medium-sized proteins). Third, the transfer conditions must be optimized - for At3g08750, semi-dry transfer at 15V for 30 minutes or wet transfer at 30V overnight at 4°C using PVDF membranes typically yields optimal results. Fourth, blocking should be performed with 5% non-fat dry milk or BSA in TBST for 1 hour at room temperature. Fifth, primary antibody incubation should be tested at various dilutions (1:500 to 1:5000) and incubation times (1 hour at room temperature or overnight at 4°C). Sixth, washing steps should be stringent (4-5 washes for 5 minutes each with TBST) to reduce background. Finally, detection systems (chemiluminescence, fluorescence, or colorimetric) should be selected based on the required sensitivity. When troubleshooting, consider that the flexible structure of antibodies, particularly at the hinge region between the Fc and Fab portions, affects their binding characteristics in immunoblotting applications .
Effective immunoprecipitation (IP) of At3g08750 from plant extracts requires careful attention to extraction conditions and antibody-bead coupling strategies. Begin with freshly harvested plant tissue (5-10 g) and grind in liquid nitrogen before adding extraction buffer (50 mM HEPES pH 7.5, 150 mM NaCl, 1 mM EDTA, 1% Triton X-100, 10% glycerol, protease inhibitors). Centrifuge at 14,000 × g for 15 minutes at 4°C and filter the supernatant through cheesecloth to remove debris. Pre-clear the extract by incubating with Protein A/G beads for 1 hour at 4°C. For the IP reaction, two approaches can be used: direct or indirect coupling. In direct coupling, conjugate 5-10 μg of At3g08750 antibody to 50 μL of Protein A/G magnetic beads using a crosslinker like dimethyl pimelimidate (DMP). In indirect coupling, add 5 μg of antibody to 1 mL of pre-cleared extract and incubate for 2 hours at 4°C before adding 50 μL of Protein A/G beads for an additional hour. The choice between Protein A or Protein G beads should be based on the antibody isotype, as they have different binding specificities . After binding, wash the beads thoroughly (4-5 times) with washing buffer (extraction buffer with reduced detergent concentration). Elute the immunoprecipitated At3g08750 protein using either low pH (0.1 M glycine, pH 2.5) followed by immediate neutralization, or by boiling in SDS sample buffer. Verify successful immunoprecipitation by immunoblotting a small fraction of the eluate and perform mass spectrometry analysis for comprehensive identification of co-immunoprecipitated proteins.
Effectively utilizing At3g08750 antibodies for immunolocalization in plant tissues requires optimization of fixation, sectioning, and detection methods. First, tissue fixation should be performed with 4% paraformaldehyde in PBS for 2-4 hours at room temperature, which preserves protein epitopes while maintaining tissue architecture. For whole-mount immunolocalization, additional permeabilization with 0.1-0.5% Triton X-100 is necessary. Second, prepare tissue sections either by paraffin embedding (5-10 μm sections) for light microscopy or by cryosectioning (10-20 μm) for fluorescence microscopy. Third, perform antigen retrieval if necessary, typically by heating sections in citrate buffer (pH 6.0) for 10-15 minutes. Fourth, block nonspecific binding sites with 3% BSA or 5% normal serum from the species in which the secondary antibody was raised. Fifth, optimize primary antibody concentration through titration (typically 1:50 to 1:500 dilutions) and incubate overnight at 4°C. Sixth, apply fluorophore-conjugated secondary antibodies (1:200 to 1:500) for 1-2 hours at room temperature. Finally, counterstain with DAPI to visualize nuclei and mount in anti-fade medium. For controls, include both negative controls (omitting primary antibody) and biological controls (At3g08750 knockout or RNAi lines). When analyzing results, consider that the flexibility of antibody molecules, particularly at the hinge region and V-C junction, enables binding to epitopes that may be variably accessible in fixed tissues . This molecular flexibility allows antibodies to bind effectively to target proteins in various conformational states, enhancing detection sensitivity in complex tissue environments.
Cross-reactivity issues with At3g08750 antibodies can be systematically addressed through several approaches. First, perform bioinformatic analysis to identify proteins with sequence similarity to At3g08750 that might be recognized by the antibody. Second, implement stringent antibody purification using affinity chromatography with immobilized At3g08750 protein to enrich for antibodies with high specificity. Third, pre-absorb the antibody solution with plant extracts from At3g08750 knockout lines to remove antibodies recognizing non-specific proteins. Fourth, optimize antibody dilution and washing conditions in immunoassays - higher dilutions and more stringent washing buffers can reduce nonspecific binding. Fifth, include competitive blocking with the immunizing peptide in parallel experiments to distinguish specific from nonspecific signals. Sixth, for monoclonal antibodies, screen multiple clones to identify those with minimal cross-reactivity profiles. Seventh, consider using F(ab')2 fragments instead of whole antibodies, as these lack the Fc region that can contribute to nonspecific binding through interactions with Fc receptors . F(ab')2 fragments maintain the same antigen-binding characteristics as the original antibody but cannot interact with effector molecules, potentially reducing background in complex plant extracts . Finally, validate specificity through multiple technical approaches including Western blot, immunoprecipitation followed by mass spectrometry, and immunohistochemistry comparing wild-type and knockout plant tissues.
Overcoming low signal issues when detecting At3g08750 requires a multi-faceted approach addressing protein abundance, extraction efficiency, and detection sensitivity. First, optimize protein extraction by testing different buffer compositions that efficiently solubilize At3g08750 while preserving its antigenic epitopes. Consider using detergents like CHAPS or NP-40, which may better solubilize membrane-associated proteins. Second, implement protein concentration methods such as TCA precipitation or ultrafiltration to increase target protein abundance. Third, enrich for At3g08750 through subcellular fractionation based on its known or predicted localization. Fourth, enhance antibody concentration through affinity purification from serum, which can increase specific antibody content by 10-50 fold. Fifth, utilize signal amplification systems such as tyramide signal amplification or polymer-based detection systems that can enhance sensitivity by orders of magnitude. Sixth, consider using single-chain Fv fragments, which are smaller than conventional antibodies and may have better tissue penetration properties in immunohistochemistry applications . These truncated antibody derivatives comprise only the variable domains of heavy and light chains linked by synthetic peptides, allowing them to access epitopes that might be sterically hindered to full-sized antibodies . Seventh, implement more sensitive detection instruments such as chemiluminescence imagers with cooled CCD cameras or laser-based scanners for fluorescent secondary antibodies. Finally, consider using transient expression systems like TARGET to temporarily increase At3g08750 expression levels for initial antibody validation and protocol optimization .
Different fixation methods significantly impact At3g08750 antibody epitope recognition in immunohistochemistry through various chemical modifications to protein structure. Aldehyde-based fixatives (formaldehyde, paraformaldehyde, glutaraldehyde) form methylene bridges between proteins, potentially masking or altering epitopes. For At3g08750, 4% paraformaldehyde typically offers a good balance between structural preservation and epitope accessibility, but optimization is essential. Cross-linking fixatives generally better preserve cellular architecture but may require antigen retrieval steps such as heat-induced epitope retrieval (HIER) using citrate buffer (pH 6.0) or Tris-EDTA (pH 9.0). In contrast, precipitation fixatives (acetone, methanol) denature proteins by disrupting hydrophobic interactions, which can expose otherwise hidden epitopes but may destroy conformational epitopes. For phosphorylated forms of At3g08750, alcohol-based fixatives often provide superior results by rapidly inhibiting phosphatase activity. Fixation time also critically impacts epitope preservation—excessive fixation can irreversibly mask epitopes. A systematic approach involves testing multiple fixation protocols in parallel: (1) 4% paraformaldehyde for 2-4 hours, (2) 100% methanol for 10 minutes at -20°C, (3) acetone for 10 minutes at -20°C, and (4) a combination of 2% paraformaldehyde followed by methanol. The flexibility of antibody molecules, particularly at the hinge region between the Fc and Fab portions, affects their ability to access and bind to epitopes in differently fixed tissues . This molecular flexibility allows antibodies to adapt to the conformational state of epitopes that may be altered by various fixation methods.
Quantifying At3g08750 protein levels across different plant tissues and developmental stages requires a systematic approach that accounts for biological variation and technical considerations. First, establish a standardized protein extraction protocol that yields consistent results across all tissue types. Second, determine protein concentration in all extracts using a method insensitive to common plant compounds (e.g., Bradford assay or BCA assay with added compatibility reagents). Third, load equal amounts of total protein (15-30 μg) for each sample on gels and include a dilution series of recombinant At3g08750 protein as a standard curve. Fourth, perform Western blotting with At3g08750 antibodies and include a housekeeping protein control (e.g., actin, tubulin, GAPDH) for normalization. Fifth, use digital image analysis software to quantify band intensities relative to the standard curve. Sixth, for more precise quantification, consider using the Octet N1 system, which enables rapid and sensitive quantitation of proteins in complex samples with high dynamic range (from <1 μg/mL to 4 mg/mL) . This system provides real-time binding data and can be more precise than traditional Western blotting for quantification purposes. When analyzing developmental series, plot At3g08750 protein levels against developmental time points or stages, and use appropriate statistical tests (ANOVA followed by post-hoc tests) to identify significant differences. Finally, correlate protein expression data with transcript levels (if available) to gain insights into post-transcriptional regulation mechanisms affecting At3g08750 expression.
Analyzing At3g08750 protein-protein interactions through co-immunoprecipitation requires rigorous experimental design and careful data interpretation. First, implement stringent controls including IgG control immunoprecipitations, knockout/knockdown controls, and reciprocal co-IPs when possible. Second, optimize wash stringency to balance between preserving genuine interactions and eliminating false positives. Third, for mass spectrometry analysis of co-immunoprecipitated proteins, prepare three biological replicates for statistical validation. Fourth, implement quantitative proteomics approaches such as label-free quantification or SILAC (Stable Isotope Labeling with Amino acids in Cell culture) to distinguish between specific interactors and background proteins. Fifth, establish a statistical framework for identifying significant interactors, typically using fold-enrichment over control IPs and p-value cutoffs. Sixth, validate key interactions through orthogonal methods such as yeast two-hybrid, bimolecular fluorescence complementation, or FRET analyses. Seventh, analyze the interaction data in biological context by performing functional enrichment analysis of interacting partners using tools like GO enrichment, KEGG pathway analysis, or protein domain overrepresentation. Eighth, consider the impact of antibody characteristics on co-IP results - the flexibility of antibodies, particularly at the hinge region, can influence their ability to capture protein complexes without disrupting native interactions . Finally, construct protein interaction networks using visualization tools like Cytoscape, and integrate these data with existing knowledge from databases like STRING or BioGRID to position At3g08750 within the broader cellular interactome.
Distinguishing between specific and non-specific binding in At3g08750 immunoprecipitation mass spectrometry data requires sophisticated analytical approaches. First, implement a robust experimental design with appropriate controls: (1) IgG control immunoprecipitations, (2) immunoprecipitations from At3g08750 knockout tissues, and (3) multiple biological replicates (minimum n=3). Second, apply quantitative proteomics methods such as label-free quantification or isotope labeling to enable statistical comparison between experimental and control samples. Third, establish a rigorous statistical framework for identifying significantly enriched proteins, typically using both fold-change thresholds (>2-fold enrichment over controls) and statistical significance (p<0.05, adjusted for multiple testing). Fourth, implement data visualization techniques such as volcano plots (plotting fold-change versus p-value) to identify proteins that are both strongly enriched and statistically significant. Fifth, apply contaminant filtering using databases of common mass spectrometry contaminants and known non-specific binders in plant IP-MS experiments. Sixth, consider the CRAPome (Contaminant Repository for Affinity Purification) approach to systematically identify and filter common non-specific binders. Seventh, analyze the physicochemical properties of identified proteins - highly abundant, hydrophobic, or positively charged proteins are more likely to be non-specific binders. Eighth, evaluate identified proteins for biological plausibility based on known or predicted subcellular localizations, expression patterns, and functional relationships with At3g08750. Finally, validate key interactions using orthogonal approaches such as targeted co-immunoprecipitation followed by Western blotting, proximity ligation assays, or genetic interaction studies to confirm biological relevance.
Utilizing At3g08750 antibodies in chromatin immunoprecipitation (ChIP) studies requires special considerations for protein-DNA interactions. First, verify that your At3g08750 antibody recognizes the native, chromatin-bound form of the protein through preliminary studies such as nuclear fractionation followed by Western blotting. Second, optimize crosslinking conditions specifically for plant tissues - typically 1-2% formaldehyde for 10-15 minutes, with vacuum infiltration to ensure penetration into plant tissues. Third, develop a sonication protocol that consistently yields DNA fragments of 200-500 bp, which may require longer sonication times for plant tissues compared to animal cells due to cell wall components. Fourth, implement a two-step immunoprecipitation strategy: pre-clear chromatin with Protein A/G beads to reduce non-specific binding, then incubate with At3g08750 antibody followed by fresh Protein A/G beads. Fifth, include appropriate controls including IgG control, input DNA, and ideally At3g08750 knockout/knockdown samples. Sixth, verify enrichment of known or suspected target regions by qPCR before proceeding to genome-wide analyses like ChIP-seq. Seventh, for ChIP-seq library preparation, consider the limited amount of DNA typically obtained from plant ChIP experiments, which may require amplification methods optimized for low input samples. Finally, for data analysis, use peak calling algorithms specifically optimized for plant ChIP-seq data, which may have different background characteristics compared to mammalian systems. The molecular flexibility of antibodies, particularly at the hinge region, enables effective binding to target proteins in the context of chromatin , but high-quality, specific antibodies are essential for successful ChIP experiments.
Combining At3g08750 antibody-based detection with transient expression systems in plants creates powerful experimental platforms for functional studies. First, utilize Agrobacterium-mediated infiltration of Nicotiana benthamiana leaves to express tagged or modified versions of At3g08750, which provides a rapid system for testing antibody specificity and optimizing detection protocols. Second, implement the TARGET (Transient Assay Reporting Genome-wide Effects of Transcription factors) system, which uses protoplast transformation with glucocorticoid receptor-tagged constructs to study protein function . This system allows for inducible expression and temporal control of At3g08750 levels. Third, design fusion constructs (e.g., At3g08750-GFP) that can be detected both by At3g08750 antibodies and through the tag, enabling verification of antibody specificity in vivo. Fourth, employ bimolecular fluorescence complementation (BiFC) with At3g08750 fused to half of a fluorescent protein to study protein-protein interactions, using antibodies to verify expression levels of the fusion proteins. Fifth, implement RNA-positive plants identified by transient expression for subsequent protein analysis using At3g08750 antibodies . This approach allows correlation of transcript and protein levels in the same experimental system. Sixth, for quantitative studies, use the Octet N1 system to precisely measure At3g08750 protein levels in transiently transformed tissues . This system enables rapid assessment of protein expression with high sensitivity across a broad dynamic range. Finally, use immunoprecipitation with At3g08750 antibodies followed by mass spectrometry to identify interaction partners in the transient expression context, which can reveal condition-specific or modification-dependent interactions.
At3g08750 antibodies can significantly contribute to understanding plant immune responses to bacterial pathogens through multiple experimental approaches. First, use time-course immunoblotting to track At3g08750 protein levels following bacterial pathogen challenge, revealing potential roles in early or late immune responses. Second, employ subcellular fractionation combined with immunoblotting to determine if At3g08750 changes localization during immune responses, which could indicate activation or repression of function. Third, perform co-immunoprecipitation followed by mass spectrometry before and after pathogen challenge to identify pathogen-induced changes in the At3g08750 interactome, potentially revealing connections to immune signaling components. Fourth, utilize immunohistochemistry to map At3g08750 localization in relation to pathogen invasion sites, which can indicate direct involvement in pathogen recognition or response. Fifth, combine At3g08750 antibody detection with transgenic plants expressing bacterial effectors to determine if specific effectors target At3g08750 for degradation or modification, suggesting importance in immunity. Sixth, investigate potential similarities between At3g08750 and mechanisms of natural antibody function in mammalian systems, where natural antibodies enable Kupffer cells to capture and kill blood-borne encapsulated bacteria . While plant and mammalian immune systems differ fundamentally, functional parallels in pattern recognition may exist. Seventh, examine At3g08750 post-translational modifications (phosphorylation, ubiquitination) following bacterial exposure using modification-specific immunoprecipitation approaches. Finally, integrate antibody-based protein data with transcriptomic and metabolomic datasets to position At3g08750 within the broader immune response network, creating a comprehensive understanding of its role in plant-pathogen interactions.
| Validation Method | Advantages | Limitations | Recommended Protocol |
|---|---|---|---|
| Western Blot | Confirms molecular weight, sensitive to protein levels | Limited to denatured proteins | 10% SDS-PAGE, 1:1000 antibody dilution, overnight at 4°C |
| Immunoprecipitation | Verifies native protein recognition, identifies interacting partners | Requires optimization of lysis conditions | 5 μg antibody per 500 μg protein lysate, 2 hr incubation |
| Immunohistochemistry | Reveals in situ localization, preserves cellular context | Fixation may alter epitopes | 4% paraformaldehyde fixation, 1:200 antibody dilution |
| Mass Spectrometry Validation | Definitively confirms target protein identity | Requires specialized equipment | IP followed by LC-MS/MS analysis with >30% sequence coverage |
| Knockout/Knockdown Controls | Gold standard for specificity | Requires generation of genetic materials | Compare wild-type vs. knockout signals across multiple tissues |