YKL031W Antibody

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Description

Definition and Target

YKL031W Antibody is a custom antibody developed by Cusabio that reacts with the YKL031W protein in Saccharomyces cerevisiae (strain ATCC 204508 / S288c), commonly known as baker's yeast . The antibody is validated for specificity but lacks publicly available peer-reviewed data on its applications or performance metrics .

Research Context and Knowledge Gaps

ParameterDetails
Validation MethodsLikely involves ELISA, Western blotting, or immunofluorescence .
Cross-ReactivityUnreported; specificity claims are vendor-provided .
Performance DataNo independent studies confirm sensitivity, affinity, or lot-to-lot consistency.

Comparative Analysis with Other Antibodies

While YKL031W Antibody itself lacks detailed data, studies on monoclonal antibodies (e.g., anti-CD19 CAR , anti-CD73 ) highlight typical development and validation workflows:

  • Generation: Hybridoma or recombinant methods .

  • Validation: Binding assays (ELISA, flow cytometry), functional blocking tests .

  • Therapeutic Potential: Not applicable to YKL031W, which appears limited to basic research .

Recommendations for Researchers

  • Contact Manufacturers: Directly consult vendors like Cusabio for technical specifications (e.g., immunogen sequence, host species) .

  • Experimental Design: Include rigorous controls to account for potential off-target effects in yeast models.

  • Data Reporting: Publish validation results to fill existing literature gaps.

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
YKL031W; YKL244; Putative uncharacterized protein YKL031W
Target Names
YKL031W
Uniprot No.

Target Background

Database Links

STRING: 4932.YKL031W

Subcellular Location
Membrane; Multi-pass membrane protein.

Q&A

What is YKL031W and why is it relevant to research?

YKL031W is a protein that, similar to chitinase-like proteins such as YKL-39, may play functional roles in cellular processes. YKL-39 was first identified as being produced in high amounts by synoviocytes and chondrocytes, and has been suggested as a circulating biomarker for various conditions . Antibodies targeting proteins like YKL031W enable researchers to detect, quantify, and characterize their expression patterns across different tissues and experimental conditions.

What experimental techniques can I use with YKL031W antibody?

Based on similar antibody applications, YKL031W antibody can be utilized in multiple experimental techniques including:

  • Western blotting for protein detection in cell or tissue lysates

  • Immunofluorescence staining for localization studies

  • Flow cytometry for quantitative analysis of protein expression

  • ELISA for quantification in biological fluids

  • Immunoprecipitation for protein-protein interaction studies

  • Chromatin immunoprecipitation (ChIP) for DNA-protein binding analyses

Several detection methods have been reported in literature for similar proteins, including RT-PCR, Western blotting, and immunofluorescence staining .

How should I validate the specificity of YKL031W antibody?

Antibody validation is critical for ensuring experimental rigor. To validate YKL031W antibody:

  • Perform Western blot analysis to confirm single band of expected molecular weight

  • Include positive and negative control samples

  • Test on overexpression systems (e.g., cells transfected with YKL031W)

  • Use knockout/knockdown samples as negative controls

  • Compare results with alternative antibodies targeting the same protein

  • Conduct peptide blocking experiments to confirm specificity

For newly generated antibodies, comprehensive screening protocols similar to those used for LPA-KIV9 antibody development can be applied, including ELISA screening against purified protein and testing for cross-reactivity with related proteins .

What strategies exist for generating YKL031W-specific monoclonal antibodies?

Generating high-specificity monoclonal antibodies against YKL031W can follow established methodologies:

  • Hybridoma technology: The gold standard method involves fusing antibody-producing B cells with immortal myeloma cells to create antibody-producing cell lines .

  • Immunogen design strategies:

    • Using truncated recombinant proteins containing specific domains

    • Developing unique peptide sequences conjugated to carrier proteins (e.g., keyhole limpet hemocyanin)

    • Ensuring the immunogen contains sequences unique to YKL031W and not present in homologous proteins

  • Alternative technologies: Newer methods include direct B cell immortalization through gene reprogramming, cloning of variable region-encoding genes by single-cell PCR, and in vitro screening of recombinant antibody libraries .

  • Screening methodology: Implement robust screening protocols to identify clones with desired specificity and binding characteristics, potentially using techniques like genotype-phenotype linked antibody screening compatible with NGS for rapid identification of antigen-specific clones .

How can I optimize immunofluorescence protocols for YKL031W detection in tissue samples?

For optimal immunofluorescence results with YKL031W antibody:

  • Fixation optimization: Test different fixatives (paraformaldehyde, methanol, acetone) to preserve antigen structure while maintaining tissue architecture.

  • Antigen retrieval: Implement heat-induced epitope retrieval (citrate buffer, pH 6.0) or enzymatic retrieval methods if the antibody targets conformational epitopes that may be masked during fixation.

  • Blocking optimization: Use comprehensive blocking strategies (e.g., 5-10% normal serum from the species of secondary antibody, plus 1% BSA) to minimize non-specific binding.

  • Antibody titration: Perform systematic dilution series to determine optimal antibody concentration that maximizes signal-to-noise ratio.

  • Signal amplification: For low-abundance targets, consider tyramide signal amplification or similar enhancement methods.

  • Controls: Include positive control tissues with known expression patterns and negative controls (secondary antibody only, isotype controls, and pre-immune serum controls).

  • Counterstaining: Use appropriate nuclear counterstains (DAPI, Hoechst) and potential co-staining with markers of cellular compartments to determine precise subcellular localization.

What are the key considerations when designing ChIP experiments with YKL031W antibody?

When using YKL031W antibody in chromatin immunoprecipitation experiments:

  • Crosslinking optimization: Test different formaldehyde concentrations (0.5-2%) and incubation times to achieve optimal protein-DNA crosslinking without over-fixation.

  • Sonication parameters: Optimize sonication conditions to achieve DNA fragments of 200-500bp, verifying fragment size by gel electrophoresis.

  • Antibody specificity: Validate antibody specificity in the ChIP context using positive and negative control regions known to be bound or not bound by the protein of interest .

  • Input normalization: Always include input DNA controls for normalization purposes.

  • Data analysis: For genome-wide analyses, implement appropriate bioinformatic pipelines for peak calling and annotation, as demonstrated for HSF binding studies .

  • Controls: Include technical controls such as IgG controls and biological controls like knockdown/knockout samples when possible.

  • Signal verification: Confirm ChIP-seq findings with targeted ChIP-qPCR for selected genomic loci, as demonstrated in the HSF study where promoter-specific PCR was used to verify selected genes .

What are potential causes and solutions for high background when using YKL031W antibody?

High background issues with YKL031W antibody may stem from:

  • Non-specific binding: Increase blocking agent concentration or duration; try different blocking agents (BSA, normal serum, casein).

  • Excessive antibody concentration: Perform titration experiments to identify optimal antibody dilution.

  • Insufficient washing: Extend wash steps or increase detergent concentration in wash buffers.

  • Cross-reactivity: Test the antibody on negative control samples (tissues/cells known not to express YKL031W) to assess specificity.

  • Secondary antibody issues: Include secondary-only controls; consider changing secondary antibody supplier or using highly cross-adsorbed versions.

  • Endogenous peroxidase or phosphatase activity: Include appropriate quenching steps in protocols.

  • Autofluorescence: Consider methods to reduce autofluorescence such as Sudan Black B treatment for fluorescence microscopy.

How should I analyze and interpret contradictory results when comparing YKL031W expression data across different detection methods?

When facing contradictory results:

  • Consider epitope accessibility: Different methods expose different protein epitopes; the antibody may detect denatured protein in Western blot but not in native conditions for immunofluorescence.

  • Evaluate post-translational modifications: The protein may undergo modifications affecting antibody recognition in different contexts.

  • Assess sensitivity thresholds: Methods have different detection limits; Western blot might detect protein undetectable by immunohistochemistry.

  • Examine sample preparation effects: Sample processing (fixation, extraction) can affect protein detection.

  • Compare antibody clones: Different antibodies targeting different epitopes may yield varying results.

  • Correlate with RNA data: Compare protein results with mRNA expression data (RT-PCR, RNA-seq).

  • Employ orthogonal validation: Use alternative methods like mass spectrometry to resolve discrepancies.

Similar approaches have been used in analyzing YKL-39 expression across different disease states and experimental conditions .

What experimental design is optimal for investigating dynamic changes in YKL031W expression under stress conditions?

To study dynamic expression changes:

  • Time-course experimental design: Collect samples at multiple timepoints after stress induction, similar to the heat shock response experiments described for HSF targets .

  • Dose-response analysis: Test multiple intensities of stress stimulus to establish threshold effects.

  • Multiple detection methods: Combine protein detection (Western blot, immunofluorescence) with transcriptional analysis (RT-qPCR, RNA-seq).

  • Single-cell vs. population analyses: Consider both population-level assays and single-cell techniques to detect heterogeneous responses.

  • Pathway inhibitor studies: Use specific inhibitors to dissect regulatory pathways controlling YKL031W expression.

  • Genetic models: Utilize knockout/knockdown approaches or overexpression systems to understand functional consequences.

  • Statistical robustness: Include sufficient biological and technical replicates to capture variability (minimum 3 biological replicates).

  • Data normalization: Carefully select housekeeping genes or proteins that remain stable under the experimental conditions .

How can I develop a genotype-phenotype linked antibody screening system for YKL031W-related research?

Developing an advanced screening system could follow the principles described for other antibody development platforms:

  • NGS-compatible functional screening: Implement a system that links antibody sequence information with binding characteristics, similar to methods developed for rapid identification of antigen-specific clones .

  • Single B-cell isolation: Utilize fluorescence-activated cell sorting (FACS) to isolate individual B cells that produce antibodies with desired binding properties.

  • Variable region sequencing: Perform single-cell PCR to amplify and sequence the variable regions of antibody-producing B cells.

  • Recombinant expression systems: Express and test identified antibody sequences in mammalian cell lines for validation.

  • Affinity maturation: Consider in vitro affinity maturation techniques to enhance binding properties of promising antibody candidates.

  • Bioinformatic analysis: Implement computational approaches to analyze antibody sequences and predict binding characteristics.

  • High-throughput validation: Develop systems for rapid screening of antibody functionality across multiple assay formats.

This approach would allow researchers to rapidly identify and characterize new antibodies with specific properties for YKL031W research .

What strategies should I employ to investigate YKL031W protein interactions with other cellular components?

To comprehensively map protein interactions:

  • Co-immunoprecipitation (Co-IP): Use YKL031W antibody to pull down the protein along with its binding partners, followed by mass spectrometry to identify interactors.

  • Proximity labeling: Employ BioID or APEX2 proximity labeling systems fused to YKL031W to identify proteins in close spatial proximity in living cells.

  • Yeast two-hybrid screening: Use YKL031W as bait in Y2H screens to identify direct protein-protein interactions.

  • Protein complementation assays: Implement split fluorescent protein or luciferase complementation systems to validate specific interactions in living cells.

  • Crosslinking mass spectrometry: Apply chemical crosslinking followed by mass spectrometry to capture transient or weak interactions.

  • FRET/BRET analysis: Use fluorescence or bioluminescence resonance energy transfer to study interactions in real-time in living cells.

  • Functional validation: Confirm biological relevance of identified interactions through genetic manipulation (knockdown, knockout, overexpression) and phenotypic assays.

These approaches have proven valuable in understanding protein interaction networks in complex biological systems .

How can YKL031W antibody be employed in studies of potential therapeutic targeting?

For therapeutic development research:

  • Target validation: Use the antibody to establish expression patterns in disease models and patient samples, similar to studies of YKL-39 in cancer .

  • Functional blocking studies: Test if the antibody has function-blocking properties that could inhibit YKL031W activity in cellular assays.

  • Therapeutic antibody development: Use data from epitope mapping and functional studies to guide engineering of therapeutic antibodies.

  • Drug screening: Develop antibody-based assays to screen for small molecules that modulate YKL031W function or expression.

  • Biomarker development: Evaluate the potential of YKL031W as a biomarker for disease diagnosis or treatment response, similar to YKL-39 in cancer patients undergoing neoadjuvant chemotherapy .

  • Antibody-drug conjugates: Explore the possibility of using YKL031W antibody as a targeting moiety for delivering therapeutic payloads to cells expressing the protein.

  • Combinatorial therapy approaches: Investigate potential synergistic effects between YKL031W targeting and other therapeutic modalities, as suggested for YKL-39 targeting combined with neoadjuvant chemotherapy .

How might single-cell analysis technologies enhance our understanding of YKL031W expression heterogeneity?

Single-cell technologies offer opportunities to:

  • Map cellular heterogeneity: Use single-cell RNA-seq to identify cell populations with differential YKL031W expression within complex tissues.

  • Spatial transcriptomics: Implement spatial methods (e.g., Visium, MERFISH) to understand the relationship between YKL031W expression and tissue architecture.

  • Single-cell proteomics: Apply emerging single-cell proteomic techniques to correlate YKL031W protein levels with other proteins at single-cell resolution.

  • CyTOF/mass cytometry: Utilize metal-conjugated antibodies to include YKL031W in high-parameter single-cell protein expression analyses.

  • Live-cell imaging: Develop methods to visualize dynamic expression changes in real-time at the single-cell level.

  • Lineage tracing: Combine YKL031W detection with lineage tracing to understand developmental or differentiation trajectories of expressing cells.

  • Computational integration: Apply machine learning approaches to integrate multimodal single-cell data for comprehensive understanding of YKL031W biology.

What considerations are important when developing antibodies against post-translationally modified versions of YKL031W?

Developing modification-specific antibodies requires:

  • Modification identification: Use mass spectrometry to identify specific post-translational modifications (PTMs) of YKL031W protein.

  • Peptide design: Generate synthetic peptides containing the modification of interest (phosphorylation, acetylation, methylation, etc.) for immunization.

  • Screening strategy: Implement differential screening against modified and unmodified peptides to select modification-specific antibodies.

  • Specificity validation: Test antibodies against samples treated with enzymes that remove the modification (e.g., phosphatases for phospho-specific antibodies).

  • Context consideration: Assess whether surrounding amino acids affect antibody recognition of the modified residue.

  • Application-specific validation: Validate each modification-specific antibody in the intended application contexts (Western blot, IHC, flow cytometry).

  • Functional studies: Use modification-specific antibodies to investigate how PTMs affect YKL031W function, localization, or interactions.

How can multiplexed antibody-based imaging technologies be optimized for studying YKL031W in complex tissue microenvironments?

For advanced multiplexed imaging:

  • Cyclic immunofluorescence: Implement iterative staining, imaging, and antibody removal to achieve high-parameter imaging using YKL031W antibody alongside other markers.

  • Mass cytometry imaging: Consider metal-conjugated antibodies for highly multiplexed tissue imaging using Imaging Mass Cytometry or MIBI-TOF.

  • Spectral unmixing: Utilize spectral detection systems to resolve closely spaced fluorophores in multiplexed panels.

  • DNA-barcoded antibodies: Apply DNA-conjugated antibodies with subsequent DNA detection for highly multiplexed imaging.

  • Sequential immunostaining: Develop protocols for sequential staining and imaging without compromising tissue integrity.

  • 3D imaging optimization: Adapt clearing techniques (CLARITY, iDISCO) for whole-tissue 3D imaging with YKL031W antibody.

  • Computational analysis: Implement advanced image analysis algorithms for extracting spatial relationships between YKL031W and other markers.

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