SPAC25B8.05 Antibody

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Description

Search Results Analysis

The provided sources focus on antibodies with defined applications in immunological research, including:

  • Cy5-conjugated goat anti-mouse IgG for immunofluorescence and flow cytometry .

  • DyLight594-conjugated goat anti-mouse IgG for immunohistochemistry and Western blotting .

  • HRP-conjugated goat anti-human IgM for ELISA and immunoprecipitation .

  • Neutralizing antibodies against SARS-CoV-2 (e.g., COV2-2130 and COV2-2381) for viral neutralization .

  • Human antibodies against Staphylococcus aureus (e.g., Abs-9) for bacterial immunity .

None of these sources reference SPAC25B8.05 Antibody, indicating a lack of publicly available data on this compound.

Research Limitations

  • Nomenclature: The name "SPAC25B8.05" does not align with standard antibody naming conventions (e.g., species, target antigen, or conjugate type).

  • Proprietary Status: If this antibody is part of an unpublished study or a commercial product not yet indexed in databases, its details would remain inaccessible.

  • Typographical Error: A potential misspelling or misabbreviation in the name could prevent accurate retrieval of information.

Recommendations for Further Investigation

  1. Verify Nomenclature: Confirm the correct name of the antibody by cross-referencing with institutional catalogs or publications.

  2. Check Proprietary Databases: Contact manufacturers (e.g., Jackson Immuno, Genetex) or academic institutions for unpublished data.

  3. Literature Mining: Use advanced search tools (e.g., PubMed, Google Scholar) with variations of the name (e.g., "SPAC25B8", "SPAC25B8.05") to identify related studies.

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Composition: 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
SPAC25B8.05 antibody; Putative tRNA pseudouridine synthase C25B8.05 antibody; EC 5.4.99.- antibody
Target Names
SPAC25B8.05
Uniprot No.

Target Background

Database Links
Protein Families
TRNA pseudouridine synthase TruA family
Subcellular Location
Cytoplasm. Nucleus.

Q&A

What is SPAC25B8.05 and what selection criteria should be used when choosing antibodies against this yeast protein?

SPAC25B8.05 (deg1) is a protein in Schizosaccharomyces pombe (fission yeast) . When selecting antibodies against this target, researchers should consider:

  • Antibody format: Monoclonal antibodies often provide higher specificity, similar to the Anti-RNA polymerase II Antibody (clone CTD4H8) used in yeast research

  • Validation data: Look for antibodies validated in relevant applications (Western blot, ChIP, immunofluorescence)

  • Species reactivity: Ensure cross-reactivity with S. pombe if using commercial antibodies

  • Epitope information: Choose antibodies targeting accessible epitopes in your experimental conditions

Consider developing custom antibodies if commercial options lack specificity or perform poorly in your application.

How can I validate the specificity of a SPAC25B8.05 antibody?

To validate antibody specificity for SPAC25B8.05:

  • Western blot analysis:

    • Compare signal between wild-type S. pombe and SPAC25B8.05 deletion mutants

    • Test recombinant SPAC25B8.05 protein as positive control

    • Verify single band at expected molecular weight

  • Immunoprecipitation-mass spectrometry:

    • Immunoprecipitate from cell lysates using the antibody

    • Analyze precipitated proteins by mass spectrometry to confirm SPAC25B8.05 enrichment

    • This approach is similar to validation methods used for SpA5 antibodies

  • Peptide competition assay:

    • Pre-incubate antibody with excess antigenic peptide

    • Observe signal reduction in subsequent applications

  • Orthogonal methods:

    • Compare results with tagged versions of SPAC25B8.05

    • Correlate antibody signals with mRNA expression levels

Validation MethodControls NeededExpected ResultsCommon Pitfalls
Western blotWT and knockout strainsSingle band at expected MWCross-reactivity with related proteins
IP-MSIgG controlEnrichment of target proteinNon-specific binding to beads
Peptide competitionUnrelated peptide controlSignal reduction with specific peptideIncomplete competition
Orthogonal validationUntagged controlCorrelation between methodsTag interference with protein function

What are the optimal sample preparation methods for detecting SPAC25B8.05 in different applications?

Optimal sample preparation varies by application:

For Western blotting:

  • Cell lysis: Use glass bead disruption in buffer containing detergents (0.1-1% NP-40 or Triton X-100)

  • Include protease inhibitors to prevent degradation

  • Denature samples in SDS loading buffer at 95°C for 5 minutes

  • For membrane proteins, avoid extended boiling which may cause aggregation

For immunoprecipitation:

  • Optimize lysis conditions to maintain protein-protein interactions

  • Consider crosslinking for transient interactions

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

  • Use a method similar to that described for isolating SpA5-antibody complexes

For immunofluorescence:

  • Optimize cell wall digestion using zymolyase to create spheroplasts

  • Test different fixatives (4% formaldehyde, methanol, or combination)

  • Include permeabilization step with 0.1% Triton X-100

  • Block with 3-5% BSA or normal serum to reduce non-specific binding

For ChIP applications:

  • Optimize crosslinking time (typically 10-15 minutes with 1% formaldehyde)

  • Ensure efficient cell lysis and chromatin fragmentation

  • Verify fragment size (200-500 bp) by gel electrophoresis

  • Use approaches similar to those validated for RNA polymerase II ChIP

What controls are essential when using SPAC25B8.05 antibodies in ChIP-seq experiments?

For robust ChIP-seq experiments with SPAC25B8.05 antibodies:

Essential controls:

  • Input control: Chromatin before immunoprecipitation to normalize for genomic biases

  • Negative controls:

    • IgG control from same species as primary antibody

    • ChIP in SPAC25B8.05 deletion strain

    • No-antibody control

  • Positive controls:

    • ChIP against RNA polymerase II as a technical control

    • ChIP for known interacting partners of SPAC25B8.05

  • Spike-in controls:

    • Add chromatin from another species for quantitative normalization

  • Biological replicates:

    • Minimum three independent biological replicates

Quality control metrics:

MetricAcceptable RangePoor Quality Indicator
Enrichment over input>4-fold<2-fold
% Reads in peaks>30%<10%
Number of peaksExperiment-dependentExtremely high or low
Peak overlap between replicates>75%<50%

Successful ChIP-seq validation strategies include motif enrichment analysis and correlation with known biological functions of SPAC25B8.05.

What strategies can improve co-immunoprecipitation of SPAC25B8.05 interacting partners?

To enhance co-immunoprecipitation of SPAC25B8.05 interacting partners:

  • Buffer optimization:

    • Test different salt concentrations (50-300 mM NaCl)

    • Evaluate various detergents (NP-40, Triton X-100, Digitonin)

    • Adjust buffer pH (typically 7.2-8.0)

    • Include stabilizers like glycerol (5-10%)

  • Crosslinking approaches:

    • Chemical crosslinking (formaldehyde, DSP, or BS3)

    • Optimize crosslinker concentration and reaction time

    • Include quenching step to stop reaction

  • Antibody coupling strategies:

    • Direct coupling to beads to prevent antibody co-elution

    • Test different antibody-to-bead ratios

    • Consider oriented coupling techniques for maximum antigen binding

  • Washing optimization:

    • Develop wash protocols that balance specificity and sensitivity

    • Gradual reduction in detergent concentration

    • Include salt gradient washes

  • Elution methods:

    • Compare different elution strategies (low pH, competing peptides)

    • Consider on-bead digestion for direct mass spectrometry analysis

    • Use approaches similar to those employed for SpA5 antibody characterization

How can I optimize immunofluorescence protocols for detecting SPAC25B8.05 in fission yeast?

For optimal immunofluorescence detection of SPAC25B8.05 in S. pombe:

  • Cell wall removal:

    • Digest with zymolyase (1-5 mg/ml) for 30-60 minutes at 30°C

    • Monitor spheroplast formation microscopically

    • Optimize enzyme concentration and digestion time for your strain

  • Fixation optimization:

    • Compare 4% formaldehyde (10-15 min) vs. methanol (-20°C, 6 min)

    • Test combination fixation for certain epitopes

    • Include proper fixative quenching (100 mM glycine)

  • Permeabilization:

    • 0.1% Triton X-100 for 5-10 minutes

    • Alternatively, test 0.05% SDS or 0.2% Tween-20

    • Optimize time to balance antibody access with structural preservation

  • Blocking and antibody incubation:

    • Block with 3-5% BSA or normal serum (1-2 hours)

    • Extend primary antibody incubation (overnight at 4°C)

    • Use secondary antibodies with minimal cross-reactivity to yeast proteins

    • Consider secondary antibodies similar to those in reference

  • Counterstaining and mounting:

    • Include nuclear counterstain (DAPI)

    • Use anti-fade mounting media to prevent photobleaching

    • Consider cell wall stain (calcofluor) for morphological reference

What are the best approaches for studying post-translational modifications of SPAC25B8.05?

To investigate post-translational modifications (PTMs) of SPAC25B8.05:

  • PTM-specific antibodies:

    • Use commercially available antibodies against common PTMs (phosphorylation, acetylation)

    • Consider developing custom antibodies against predicted site-specific modifications

    • Validate using appropriate controls (phosphatase treatment, mutants)

  • Mass spectrometry approaches:

    • Immunoprecipitate SPAC25B8.05 followed by mass spectrometry

    • Use enrichment techniques for specific PTMs:

      • TiO₂ or IMAC for phosphopeptides

      • Antibody enrichment for acetylated, methylated, or ubiquitinated peptides

    • Apply approaches similar to those used for histone modification analysis

  • Gel-based detection methods:

    • Use Phos-tag gels to detect phosphorylated species

    • Apply 2D gel electrophoresis to separate based on charge and mass

    • Western blot with PTM-specific antibodies

  • Mutational analysis:

    • Create point mutations at predicted modification sites

    • Compare wild-type and mutant function/localization

    • Combine with mass spectrometry to confirm PTM sites

PTM TypeEnrichment MethodDetection ApproachValidation Strategy
PhosphorylationTiO₂, IMACPhos-tag gels, MSPhosphatase treatment
AcetylationAnti-acetyl-Lys antibodiesMS, Western blotHDAC inhibitors
MethylationAnti-methyl antibodiesMSMethyltransferase inhibitors
UbiquitinationTUBEs, Ub-antibodiesMSProteasome inhibitors

How can ChIP-seq data for SPAC25B8.05 be properly analyzed and interpreted?

For robust ChIP-seq analysis of SPAC25B8.05:

  • Quality control and preprocessing:

    • Assess sequencing quality (FastQC)

    • Filter low-quality reads and adapters

    • Align to S. pombe genome (Bowtie2 or BWA)

    • Remove PCR duplicates

    • Generate normalized coverage tracks

  • Peak calling:

    • Use MACS2 with appropriate parameters for S. pombe

    • Include input control for background normalization

    • Set FDR threshold (typically q < 0.05)

    • Consider IDR analysis for replicate consistency

  • Differential binding analysis:

    • Compare SPAC25B8.05 binding across conditions

    • Normalize for sequencing depth differences

    • Apply appropriate statistical tests (DESeq2, edgeR)

  • Functional annotation:

    • Identify genes associated with binding sites

    • Perform Gene Ontology enrichment analysis

    • Motif discovery using MEME, HOMER

    • Integrate with expression data

  • Visualization and interpretation:

    • Generate heatmaps of binding around features

    • Create average profile plots

    • Use genome browsers for detailed inspection

    • Compare to published datasets

  • Validation approaches:

    • Confirm selected binding sites by ChIP-qPCR

    • Correlate binding with gene expression changes

    • Compare to known interacting partners

    • Use similar approaches to those validated for RNA polymerase II ChIP

How can high-throughput screening approaches be applied to identify optimal antibodies against SPAC25B8.05?

For high-throughput screening of SPAC25B8.05 antibodies:

  • Single B-cell sequencing approaches:

    • Apply high-throughput single-cell RNA and VDJ sequencing similar to methods used for SpA5 antibody identification

    • Immunize animals with recombinant SPAC25B8.05

    • Sort antigen-specific B cells and perform sequencing

    • Identify promising antibody candidates from resulting sequences

    • Express and characterize top candidates

  • Phage display screening:

    • Create phage display libraries expressing antibody fragments

    • Perform biopanning against immobilized SPAC25B8.05

    • Enrich for high-affinity binders through multiple rounds

    • Sequence selected clones and express as full antibodies

  • Multiplexed characterization:

    • Test antibody candidates in parallel across multiple applications

    • Create antigen arrays with SPAC25B8.05 variants

    • Measure binding affinity using surface plasmon resonance

    • Assess cross-reactivity against related proteins

  • Machine learning integration:

    • Apply active learning strategies to guide antibody selection

    • Use binding data to train predictive models

    • Prioritize candidates based on predicted performance

    • Reduce screening costs by up to 35% through intelligent selection

How can machine learning improve antibody development and characterization for SPAC25B8.05?

Machine learning approaches can enhance SPAC25B8.05 antibody research:

  • Epitope prediction:

    • Apply ML algorithms to predict antigenic regions in SPAC25B8.05

    • Incorporate protein structure predictions using AlphaFold2

    • Select optimal epitopes for antibody development

    • Validate predictions through experimental approaches

  • Antibody-antigen binding prediction:

    • Implement library-on-library approaches as described in reference

    • Train models to predict binding between antibody variants and SPAC25B8.05

    • Address out-of-distribution prediction challenges for novel antibodies

    • Apply active learning strategies to iteratively improve predictions with minimal experimental data

  • Optimization of screening approaches:

    • Use ML to design optimal antibody testing strategies

    • Reduce required antigen variants by up to 35%

    • Accelerate the learning process with intelligent sampling

    • Apply the three best-performing algorithms identified in reference

  • Structural optimization:

    • Predict antibody-antigen complex structures

    • Optimize binding interface through computational design

    • Identify potential cross-reactivity through structural similarity analysis

    • Validate using molecular docking methods similar to those in reference

How can researchers resolve contradictory data when studying SPAC25B8.05 using different antibody-based techniques?

To resolve contradictions in SPAC25B8.05 antibody-based studies:

  • Systematic validation of antibodies:

    • Test multiple antibodies targeting different epitopes

    • Compare results between monoclonal and polyclonal antibodies

    • Validate specificity using knockout/deletion controls

    • Perform peptide competition assays to confirm epitope specificity

  • Methodological considerations:

    • Evaluate fixation/extraction effects on epitope accessibility

    • Consider how sample preparation might affect results

    • Assess antibody performance in each specific application

    • Determine if PTMs affect antibody recognition

  • Orthogonal validation approaches:

    • Compare antibody-based results with non-antibody methods

    • Use fluorescent protein tagging as independent validation

    • Apply CRISPR-based methods to verify results

    • Consider proximity labeling as alternative approach

  • Context-dependent expression analysis:

    • Test whether contradictions result from condition-dependent effects

    • Analyze expression across cell cycle, stress conditions

    • Consider subcellular localization differences

    • Examine protein turnover rates

  • Integrated data analysis:

    • Combine evidence from multiple techniques

    • Assign confidence scores to different methods

    • Develop testable hypotheses to explain contradictions

    • Design experiments specifically to address discrepancies

By systematically addressing these questions, researchers can optimize their experimental approaches when working with SPAC25B8.05 antibodies, leading to more reliable and reproducible results in their studies of this fission yeast protein.

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