SPAC1348.09 Antibody

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Description

Antibody Structure and Function

Antibodies are heterodimeric proteins consisting of two heavy chains and two light chains, with variable domains (Fv) that bind antigens via complementarity-determining regions (CDRs) . The Fc region mediates effector functions, such as complement activation and Fc receptor binding . For example, the Fc region of IgG antibodies enables neutralization of pathogens like SARS-CoV-2 .

Antibody ComponentFunction
Variable domains (Fv)Antigen binding via CDRs
Constant regions (Fc)Effector cell activation
Light chainsStructural support

Antibody Applications in Research

Research antibodies are critical in assays like ELISA, western blot, and flow cytometry. Southern Biotech’s Goat Anti-Mouse IgG Fc-AP (Cat. No. 1033-04) exemplifies a polyclonal antibody used in ELISA and western blot, with specificity for the Fc region of mouse IgG subclasses . Similarly, bispecific antibodies like 10E8.4/iMab target HIV envelope proteins and CD4+ T cells, enabling dual-antigen binding for therapeutic applications .

ApplicationExample AntibodySource
ELISA/Western BlotGoat Anti-Mouse IgG Fc-APSouthern Biotech
HIV Immunoprophylaxis10E8.4/iMabMHRP
COVID-19 NeutralizationIgG1/IgG3 subclassesPubMed

Market and Development Trends

The global research antibody market is projected to reach $5.8 billion by 2028 (CAGR: 9.2%) . Key trends include:

  • Bispecific antibodies: Engineered for dual-target engagement, as seen in HIV studies .

  • Affinity maturation: Somatic hypermutation enhances binding affinity post-antigen exposure .

  • Therapeutic applications: Monoclonal antibodies (e.g., VRC07-523LS) are tested for HIV prevention and treatment .

Market SegmentGrowth Driver
Monoclonal AntibodiesTargeted therapies
Bispecific AntibodiesDual-antigen binding

Research Challenges and Limitations

  • Cross-reactivity: Antibodies like Southern Biotech’s Goat F(ab')2 Anti-Human IgG (Cat. No. 2043-09) require cross-adsorption to minimize reactivity with non-target species .

  • Class switching: IgG4 subclass antibodies, induced post-booster vaccination, may correlate with reduced neutralizing capacity in COVID-19 .

  • Database integration: Antibody structures stored in AbDb (www.bioinf.org.uk/abs/abdb/) require standardized annotations for comparative studies .

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
SPAC1348.09 antibody; SPBC1348.09Uncharacterized oxidoreductase SPBC1348.09 antibody; EC 1.-.-.- antibody
Target Names
SPAC1348.09
Uniprot No.

Target Background

Database Links
Protein Families
Short-chain dehydrogenases/reductases (SDR) family
Subcellular Location
Cytoplasm. Nucleus.

Q&A

What is SPAC1348.09 and what cellular processes does it participate in?

SPAC1348.09 is a protein-coding gene found in Schizosaccharomyces pombe (fission yeast). The protein participates in cellular processes including immune response modulation and protein interactions. Understanding its function requires careful experimental design including genetic knockouts, localization studies, and interaction mapping. Antibodies against this target enable researchers to track expression, localization, and interaction patterns under various experimental conditions.

What validation methods should be employed when first using SPAC1348.09 antibody?

Every antibody requires thorough validation before experimental use. For SPAC1348.09 antibody, implement a multi-step validation approach:

  • Western blot with positive and negative controls (including knockout/knockdown cells)

  • Immunoprecipitation followed by mass spectrometry

  • Immunocytochemistry with appropriate subcellular markers

  • Cross-reactivity testing against similar proteins

  • Lot-to-lot consistency assessment

These validation steps are critical to ensure specificity before proceeding with complex experiments, as antibody performance can significantly impact experimental outcomes and reproducibility .

Which sample preparation protocols maximize SPAC1348.09 antibody performance in immunoblotting?

Sample preparation critically affects antibody performance. For optimal SPAC1348.09 detection:

  • Harvest cells during exponential growth phase for maximum protein expression

  • Use a lysis buffer containing appropriate detergents (0.1-1% Triton X-100 or NP-40) with protease inhibitors

  • Include phosphatase inhibitors if studying phosphorylation states

  • Sonicate briefly to shear DNA and reduce sample viscosity

  • Centrifuge at 14,000 × g for 10-15 minutes to remove cellular debris

  • Determine protein concentration using Bradford or BCA assay

  • Denature proteins at 95°C for 5 minutes in reducing buffer containing SDS and DTT

This methodology preserves epitope integrity while ensuring complete protein extraction and denaturation for reliable detection .

How can SPAC1348.09 antibody be optimized for chromatin immunoprecipitation (ChIP) experiments?

Optimizing SPAC1348.09 antibody for ChIP requires careful methodological adjustments:

  • Crosslinking optimization: Test both formaldehyde (1-2%) and dual crosslinking with DSG followed by formaldehyde

  • Sonication calibration: Adjust sonication parameters to achieve 200-500bp DNA fragments

  • Antibody titration: Test 2-10μg antibody per ChIP reaction

  • Pre-clearing with protein A/G beads to reduce background

  • Include appropriate controls (IgG control, input sample, positive control IP)

  • Use stringent washing conditions (increasing salt concentrations)

  • Verify enrichment using qPCR before proceeding to sequencing

These steps are critical for generating reproducible ChIP data that accurately reflects chromatin interactions .

What approaches can resolve inconsistent SPAC1348.09 antibody performance between immunofluorescence and western blot applications?

Antibodies often perform differently across applications due to epitope accessibility differences. To resolve inconsistencies:

  • Epitope conformation analysis: The antibody may recognize a conformation-dependent epitope that is preserved in one application but not the other

  • Fixation optimization for IF: Test multiple fixation methods (paraformaldehyde, methanol, acetone)

  • Antigen retrieval methods: Implement heat-induced or enzymatic antigen retrieval

  • Buffer modification: Adjust detergent concentration and blocking reagents

  • Incubation conditions: Test different temperatures (4°C, room temperature) and durations

  • Signal amplification: Implement TSA or other amplification systems for low-abundance targets

  • Consider polyclonal alternatives if monoclonal antibodies show application-specific limitations

This systematic troubleshooting approach identifies optimal conditions for each application .

How can SPAC1348.09 antibody be employed in proximity ligation assays to study protein-protein interactions?

Proximity ligation assay (PLA) offers high sensitivity for detecting protein interactions. Optimization includes:

  • Primary antibody selection: Use SPAC1348.09 antibody raised in one species (e.g., rabbit) and partner protein antibody from another species (e.g., mouse)

  • Antibody dilution optimization: Typically 1:50-1:200 dilution range

  • Cell fixation/permeabilization: Test paraformaldehyde (4%) with Triton X-100 (0.1-0.5%)

  • Blocking optimization: BSA (3-5%) or serum (5-10%) to minimize background

  • PLA probe selection: Select probes matching primary antibody species

  • Signal development time calibration: 30-100 minutes at 37°C

  • Counterstaining: Include DAPI and cytoskeletal markers for accurate localization

Careful controls are essential: omitting one primary antibody, using known interacting partners as positive control, and testing in knockdown cells .

What strategies can address epitope masking when SPAC1348.09 antibody shows reduced signal in complex samples?

Epitope masking often occurs when protein-protein interactions or post-translational modifications block antibody access. Implement these strategies:

  • Denaturing conditions: Increase SDS concentration in sample buffer (up to 2%)

  • Reduction enhancement: Increase DTT concentration (up to 100mM)

  • Heat treatment variation: Test extended heating (10-15 min) or alternative temperatures (70°C)

  • Pre-treatment with phosphatases or deglycosylation enzymes if modifications are suspected

  • Alternative epitope antibodies: Use antibodies targeting different regions of SPAC1348.09

  • Urea treatment (6-8M) for resistant complexes

  • Limited proteolysis to expose masked epitopes while preserving detection region

These approaches systematically address different causes of epitope masking to restore detection sensitivity .

How can researchers distinguish between true SPAC1348.09 signal and non-specific binding in immunohistochemistry?

Distinguishing specific from non-specific signals requires rigorous controls and optimization:

  • Peptide competition assays: Pre-incubate antibody with immunizing peptide to block specific binding

  • Knockout/knockdown controls: Compare staining in cells with reduced/absent target expression

  • Multiple antibodies approach: Test antibodies against different epitopes of SPAC1348.09

  • Titration series: Determine optimal concentration where specific signal remains but background diminishes

  • Isotype controls: Use matched isotype control antibody at identical concentration

  • Secondary-only controls: Omit primary antibody to assess secondary antibody background

  • Absorption controls: Pre-absorb antibody against related proteins to reduce cross-reactivity

Implementing these controls provides confidence in staining specificity and pattern interpretation .

What quality control metrics should be applied when receiving new SPAC1348.09 antibody lots?

Lot-to-lot variation can significantly impact experimental reproducibility. Implement these QC steps:

  • Side-by-side comparison with previous successful lot

  • Western blot analysis with standard positive control samples

  • Quantitative assessment of signal-to-noise ratio

  • Band intensity quantification compared to reference lot

  • Immunoprecipitation efficiency testing

  • Cross-reactivity assessment against related proteins

  • Analysis of post-translational modification detection consistency

Document these metrics for each lot to maintain experimental consistency and troubleshoot performance changes. Request manufacturer's lot-specific validation data to supplement internal testing .

How can SPAC1348.09 antibody be modified for super-resolution microscopy applications?

Super-resolution microscopy requires specialized antibody preparation:

  • Antibody fragmentation: Generate Fab fragments to reduce linkage distance (improves resolution)

  • Direct fluorophore conjugation: Use site-specific conjugation methods with small fluorophores

  • Fluorophore-to-antibody ratio optimization: Typically 2-4 fluorophores per antibody

  • Photoswitchable fluorophore selection: Choose appropriate dyes for STORM/PALM techniques

  • Buffer optimization: Test oxygen scavenging systems and reducing environments

  • Sample preparation refinement: Use thin sections (80-100nm) for 3D-SIM/STED

  • Fixation protocol adjustment: Aldehydes can cause autofluorescence; evaluate alternatives

These modifications enable nanoscale visualization of SPAC1348.09 localization and interactions, providing insights unattainable with conventional microscopy .

What experimental designs can quantitatively assess SPAC1348.09 protein dynamics during cell cycle progression?

Tracking protein dynamics requires specialized experimental approaches:

  • Time-resolved immunofluorescence combined with cell cycle markers

  • FRAP (Fluorescence Recovery After Photobleaching) using fluorescent protein-tagged constructs validated with antibody studies

  • Synchronization protocols optimized for S. pombe (including nitrogen starvation, hydroxyurea block)

  • Single-cell immunoblotting following cell sorting

  • Pulse-chase labeling combined with immunoprecipitation

  • Live-cell imaging with knock-in fluorescent tags calibrated against antibody staining

  • Quantitative image analysis using machine learning algorithms to classify cell cycle stages

These approaches provide quantitative assessment of protein level changes, modifications, and localization throughout the cell cycle .

How can researchers design multiplexed immunoassays incorporating SPAC1348.09 antibody to study pathway interactions?

Multiplexed detection requires careful antibody panel design:

  • Species diversity strategy: Select primary antibodies from different host species

  • Isotype diversity approach: Use different IgG isotypes with isotype-specific secondaries

  • Direct conjugation with spectrally distinct fluorophores

  • Sequential staining with complete stripping between rounds

  • Tyramide signal amplification with spectral unmixing

  • Mass cytometry (CyTOF) using metal-conjugated antibodies

  • Cyclic immunofluorescence with iterative staining/quenching cycles

Validation steps include single-stain controls, fluorophore compensation matrix development, and spillover quantification. These approaches enable simultaneous visualization of SPAC1348.09 with interacting partners and pathway components .

How do monoclonal and polyclonal SPAC1348.09 antibodies compare in different research applications?

Selecting between monoclonal and polyclonal antibodies involves application-specific considerations:

ParameterMonoclonal SPAC1348.09 AntibodyPolyclonal SPAC1348.09 Antibody
SpecificityHigher specificity for single epitopeRecognizes multiple epitopes
SensitivityGenerally lower sensitivityHigher sensitivity due to multiple binding sites
Batch consistencyExcellent lot-to-lot reproducibilityModerate to high batch variation
Epitope accessibilityVulnerable to epitope maskingMore robust against epitope modifications
Western blot performancePrecise band detectionStronger signal but potential multiple bands
IP efficiencyVariable depending on epitopeGenerally higher pulldown efficiency
ChIP applicationsConsistent but may require optimizationBetter chromatin binding but higher background
Cost considerationsHigher production costMore economical production

Application-specific testing is recommended as performance can vary based on the specific epitope recognized and experimental conditions .

What methodological approaches can address cross-reactivity when SPAC1348.09 antibody detects related proteins?

Cross-reactivity challenges can be addressed through several approaches:

  • Epitope mapping and sequence analysis to identify potential cross-reactive proteins

  • Pre-absorption against homologous proteins or peptides

  • Titration optimization to find concentration where specific signal exceeds cross-reactivity

  • Knockout/knockdown validation comparing signal in presence/absence of target

  • Parallel detection with antibodies targeting different epitopes

  • Two-dimensional gel electrophoresis followed by western blotting

  • Mass spectrometry analysis of immunoprecipitated material to identify all bound proteins

How can SPAC1348.09 antibody be effectively implemented in quantitative proteomics workflows?

Integrating antibodies into quantitative proteomics requires specialized approaches:

  • Immunoaffinity enrichment prior to mass spectrometry

  • SILAC or TMT labeling combined with antibody pulldown

  • Targeted proteomics (PRM/MRM) using antibody-identified peptides

  • Reverse-phase protein arrays with signal calibration

  • Automated western blot systems with internal standard curves

  • Development of surrogate peptide standards for absolute quantification

  • Sequential window acquisition of all theoretical fragment ion spectra (SWATH-MS) following antibody validation

These methods enable precise quantification of SPAC1348.09 and its interaction partners across different experimental conditions, providing deeper understanding of its functional roles .

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