SPBC16G5.07c Antibody

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Description

Antibody Architecture

  • Fab Region: Contains variable domains (VH and VL) that enable antigen recognition, critical for binding the SPBC16G5.07c protein .

  • Fc Region: Mediates immune effector functions (e.g., phagocytosis), though this is less relevant in non-immunological research applications .

Target Protein Characteristics

While direct structural data for SPBC16G5.07c is limited, fission yeast proteins often participate in:

  • Chromosome segregation

  • DNA repair mechanisms

  • Cytokinesis regulation

Key Uses

  • Functional Genomics: Studying gene knockout or overexpression phenotypes in S. pombe.

  • Protein Localization: Mapping subcellular distribution via immunofluorescence .

Data Limitations

  • No peer-reviewed studies specifically referencing SPBC16G5.07c Antibody were identified in available literature ( ).

  • Commercial documentation lacks detailed validation data (e.g., epitope mapping, cross-reactivity assays) .

Comparative Analysis of Antibody Databases

The Structural Antibody Database (SAbDab) catalogs 1,624 antibody structures but does not include SPBC16G5.07c Antibody, highlighting its niche research focus . General antibody trends from SAbDab:

FeatureTypical AntibodySPBC16G5.07c Antibody
Antigen TypePathogen-derived or human proteinsFission yeast protein
Structural ResolutionHigh (X-ray crystallography)Undetermined (likely ELISA/Western)
Therapeutic RelevanceCommonNone

Future Research Directions

  1. Epitope Characterization: Use SPOT peptide arrays to identify binding regions .

  2. Functional Studies: Investigate SPBC16G5.07c's role in cell division using antibody-mediated inhibition.

  3. Cross-Species Reactivity: Test binding to homologous proteins in Saccharomyces cerevisiae.

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
SPBC16G5.07c antibody; Uncharacterized protein C16G5.07c antibody
Target Names
SPBC16G5.07c
Uniprot No.

Target Background

Database Links
Protein Families
Band 7/mec-2 family
Subcellular Location
Mitochondrion.

Q&A

What is SPBC16G5.07c and how does it relate to other S. pombe proteins?

SPBC16G5.07c is a systematic identifier for a gene/protein in Schizosaccharomyces pombe (fission yeast). Similar to other SPBC-prefixed identifiers in S. pombe, it follows the standardized nomenclature system for this model organism. Based on genomic organization, SPBC16G5.07c is located near SPBC16G5.06, which is annotated as a "sequence orphan" protein-coding gene . In S. pombe, several proteins with SPBC identifiers have been characterized in various cellular processes, including involvement in chromatin remodeling complexes and nuclear functions.

What experimental techniques commonly utilize antibodies for S. pombe protein detection?

Antibodies against S. pombe proteins are used in several key techniques:

TechniqueApplicationExample from Literature
Western blotProtein expression and modification detectionDetection of histone modifications with anti-H3K14ac antibodies
ImmunoprecipitationProtein complex isolationPurification of Pdp3-FLAG and Mst2-FLAG complexes
Chromatin Immunoprecipitation (ChIP)Protein-DNA interaction analysisAnalysis of H3K14ac levels at DNA break sites
ImmunofluorescenceProtein localizationDetection of RNA polymerase II using Rpb1-eGFP
Flow cytometryProtein expression in single cellsSimilar to detection of ErbB2/Her2 in human cells

Why are custom antibodies necessary for studying proteins like SPBC16G5.07c?

Custom antibodies are essential for studying proteins like SPBC16G5.07c because:

  • Many S. pombe proteins lack commercially available antibodies, particularly for sequence orphans and uncharacterized proteins .

  • These proteins may have unique epitopes requiring specific antibody development strategies.

  • Research on novel proteins requires validated reagents to establish their function in cellular processes.

  • For comprehensive characterization of protein complexes, antibodies against each component are needed for co-immunoprecipitation and other interaction studies .

What are the recommended approaches for developing antibodies against S. pombe proteins like SPBC16G5.07c?

For developing antibodies against S. pombe proteins, researchers should consider these methodological approaches:

  • Epitope Selection: Analyze the protein sequence using bioinformatics tools to identify antigenic regions that are surface-exposed and unique.

  • Expression Strategy:

    • Recombinant expression of full-length protein or protein fragments

    • Synthetic peptide conjugation to carrier proteins

    • For sequence orphans, structural prediction may help identify optimal epitopes

  • Host Selection:

    • Rabbits for polyclonal antibodies with broader epitope recognition

    • Mice for monoclonal antibody development with higher specificity

  • Affinity Purification: Implement antigen-specific purification to minimize cross-reactivity with other yeast proteins .

How can researchers validate the specificity of antibodies against S. pombe proteins?

Antibody validation is critical and should include multiple approaches:

  • Western blot analysis comparing:

    • Wild-type vs. deletion mutant strains

    • Untagged vs. epitope-tagged versions of the protein

    • Different cellular fractions to confirm predicted localization

  • Immunoprecipitation followed by:

    • Mass spectrometry to confirm target identity

    • Testing for expected interaction partners

  • Cross-reactivity assessment:

    • Testing against related proteins

    • Preabsorption with purified antigen to confirm specificity

What are the challenges in developing antibodies against orphan proteins in S. pombe?

Developing antibodies against orphan proteins presents several challenges:

  • Limited structural information: Without known homologs, predicting antigenic regions is difficult.

  • Unknown expression levels: Low abundance proteins may require more sensitive detection methods.

  • Post-translational modifications: Unknown modifications may affect epitope accessibility.

  • Validation complexity: Without characterized function, validation relies heavily on genetic approaches (tagging, deletion) .

  • Cross-reactivity risk: Higher potential for non-specific binding in the absence of comparative sequence data.

How can computational approaches improve antibody design for S. pombe proteins?

Computational approaches significantly enhance antibody design through:

  • In silico antibody design protocols like those outlined in IsAb:

    • Utilize RosettaAntibody to address the absence of 3D structures

    • Apply RosettaRelax to minimize energy of protein structures

    • Perform two-step docking (global and local) to address binding information gaps

    • Use alanine scanning to predict antibody hotspots

    • Implement computational affinity maturation to improve properties

  • Machine learning applications:

    • Prediction of antibody structures targeting specific domains

    • Optimization of binding affinity through sequence modifications

    • Integration of experimental feedback into computational models

  • Structural databases utilization:

    • Resources like SAbDab provide templates for antibody design

    • Analysis of complementarity determining region conformations

    • Evaluation of variable domain orientations

What methodological considerations are important for chromatin immunoprecipitation (ChIP) using antibodies in S. pombe?

For successful ChIP experiments with S. pombe proteins, researchers should consider:

  • Chromatin preparation:

    • Optimize crosslinking conditions (typically 1% formaldehyde for 10-15 minutes)

    • Implement proper cell lysis protocols for efficient nuclear extraction

    • Ensure appropriate sonication to generate 200-500bp DNA fragments

  • Antibody quality factors:

    • Use highly specific antibodies validated for ChIP applications

    • Determine optimal antibody concentration through titration experiments

    • Consider the impact of histone modifications on epitope accessibility

  • Controls and normalization:

    • Include input DNA controls

    • Use IgG negative controls

    • For histones, normalize to total histone H3 levels

    • Consider analyzing multiple genomic regions

  • Data analysis:

    • Implement appropriate normalization methods

    • Consider the chromatin landscape of the regions being analyzed

    • Validate findings with complementary approaches

How do histone modifications affect antibody-based detection of chromatin-associated proteins in S. pombe?

Histone modifications significantly impact antibody-based detection of chromatin proteins:

  • Epitope masking: Modifications can physically block antibody access to target proteins.

  • Chromatin compaction effects:

    • H3K14 acetylation directly regulates chromatin compaction and accessibility

    • Loss of H3K14ac (as in gcn5Δ mst2Δ mutants) alters chromatin structure

    • This affects antibody penetration and binding efficiency

  • Modification-dependent interactions:

    • Some proteins only associate with chromatin when specific modifications are present

    • H3K14ac facilitates recruitment of the RSC chromatin remodeling complex

    • This creates context-dependent epitope availability

  • Cross-reactivity considerations:

    • Antibodies must distinguish between modified and unmodified forms

    • Specificity testing against modified peptide arrays is recommended

What are common causes of false positives/negatives when using antibodies in S. pombe research?

IssuePotential CausesMitigation Strategies
False PositivesNon-specific binding to related proteinsUse affinity-purified antibodies and blocking with specific peptides
Cross-reactivity with highly abundant proteinsPre-clear lysates with protein A/G beads alone
Secondary antibody cross-reactivityTest secondary antibodies alone as controls
False NegativesEpitope masking by protein interactionsUse multiple antibodies targeting different regions
Low protein abundanceImplement signal amplification techniques
Protein degradation during extractionAdd appropriate protease inhibitors
Buffer incompatibilityTest multiple extraction and immunoprecipitation buffers

How can researchers optimize immunoprecipitation protocols for S. pombe proteins?

Optimization strategies for immunoprecipitation include:

  • Lysis buffer optimization:

    • Test different detergent concentrations (NP-40, Triton X-100)

    • Adjust salt concentration to maintain interactions while reducing background

    • Consider buffer additives like glycerol to stabilize protein complexes

  • Antibody coupling approaches:

    • Direct coupling to beads for cleaner results

    • Pre-clearing lysates to reduce non-specific binding

    • Testing both protein A and protein G matrices

  • Protocol modifications for specific applications:

    • For phosphorylated proteins: include phosphatase inhibitors

    • For ubiquitinated proteins: add deubiquitinase inhibitors

    • For chromatin-associated proteins: optimize crosslinking conditions

  • Elution strategies:

    • Competitive elution with epitope peptides

    • pH-based elution for antibody recovery

    • Direct boiling in sample buffer for maximum recovery

How do cellular changes during cell cycle or stress affect antibody-based detection of S. pombe proteins?

Cellular state significantly impacts antibody-based detection:

  • Cell cycle-dependent changes:

    • Protein abundance fluctuations during cell cycle progression

    • Differences in protein localization between G1, S, G2, and M phases

    • Phosphorylation changes affecting epitope accessibility

  • Stress response effects:

    • Activation of stress-activated protein kinase (SAPK) pathway alters protein phosphorylation

    • Cytoskeletal reorganization under stress affects protein localization

    • Stress-induced protein degradation may reduce target abundance

  • Quiescent state considerations:

    • G0 cell nuclei have distinct macromolecular and cytological properties

    • Histone modification patterns differ between proliferating and G0 cells

    • Chromatin compaction may reduce antibody accessibility

  • Methodological adaptations:

    • Synchronize cultures for cell cycle-dependent proteins

    • Include appropriate controls representing different cellular states

    • Consider fixation methods that preserve relevant structures

How can high-throughput sequencing approaches complement antibody-based studies of S. pombe proteins?

High-throughput sequencing technologies enhance antibody-based studies through:

  • ChIP-seq applications:

    • Genome-wide mapping of protein-DNA interactions

    • Integration with transcriptome data to correlate binding with gene expression

    • Enhanced resolution compared to traditional ChIP-qPCR

  • Single-cell applications:

    • Analysis of protein expression heterogeneity within populations

    • Correlation of protein binding with single-cell transcriptomes

    • Similar to approaches used for isolating antibodies from clinical volunteers

  • Computational integration:

    • Machine learning approaches to predict binding sites

    • Integration of multiple datasets to build comprehensive interaction networks

    • Comparison across evolutionary related species

  • Method innovations:

    • CUT&RUN and CUT&Tag offer higher sensitivity than traditional ChIP

    • HiChIP connects protein binding with 3D genome organization

    • Multiomics approaches incorporating proteomics data

What advances in structural biology are improving our understanding of antibody-antigen interactions for yeast proteins?

Recent structural biology advances include:

  • Cryo-EM applications:

    • Higher resolution structures of antibody-antigen complexes

    • Visualization of conformational epitopes

    • Analysis of larger complexes than possible with crystallography

  • AlphaFold2 integration:

    • Prediction of protein structures for uncharacterized proteins

    • Modeling of antibody-antigen complexes

    • Epitope prediction to guide antibody development

  • Molecular dynamics simulations:

    • Analysis of binding energetics

    • Investigation of conformational changes upon binding

    • Improvement of antibody affinity through computational design

  • Structural databases:

    • Resources like SAbDab provide templates for antibody design

    • Documentation of complementarity determining region conformations

    • Analysis of variable domain orientations optimized for specific targets

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