YNL150W Antibody

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Description

Definition and Target Specificity

YNL150W antibody is a monoclonal or polyclonal reagent designed to bind the YNL150W protein, a gene product encoded by the YNL150W locus in Saccharomyces cerevisiae. This antibody facilitates the detection, quantification, and functional analysis of YNL150W in experimental settings such as Western Blot (WB), immunofluorescence (IF), and immunoprecipitation (IP) .

Key Product Data

The commercial availability and technical specifications of YNL150W antibody are summarized below:

ParameterDetails
Product NameYNL150W Antibody
Catalog CodeCSB-PA347444XA01SVG
Target ProteinYNL150W (UniProt ID: P53902)
Host SpeciesDerived from immunized animals (exact species unspecified)
Tested ApplicationsWB, IF, IP (specific protocols may vary)
Species ReactivitySaccharomyces cerevisiae (strain ATCC 204508 / S288c)
Available Sizes2 mL (working solution) or 0.1 mL (concentrated form)
VendorCusabio (Source)

Biological Role of YNL150W

While the precise function of the YNL150W protein remains uncharacterized in the provided sources, its gene locus suggests involvement in essential cellular processes in S. cerevisiae. Antibodies like YNL150W are critical for:

  • Protein Localization Studies: Mapping subcellular distribution via IF .

  • Expression Profiling: Detecting protein levels under varying experimental conditions (e.g., stress responses, genetic knockouts) .

  • Interaction Networks: Identifying binding partners through IP-mass spectrometry .

Quality Control and Validation

Initiatives like the Structural Genomics Consortium (SGC) and YCharOS emphasize rigorous validation of antibodies using knockout (KO) cell lines and standardized protocols . For YNL150W antibody, validation likely includes:

  • KO Validation: Confirming loss of signal in YNL150W-deficient yeast strains.

  • Application-Specific Testing: Ensuring performance in WB, IF, or IP .

Comparative Performance Insights

A 2023 study by YCharOS evaluated over 1,000 antibodies, revealing that:

  • 50–75% of commercial antibodies for yeast proteins show high specificity in WB and IF .

  • Recombinant antibodies (possibly including YNL150W) generally outperform polyclonal and traditional monoclonal antibodies in reproducibility .

Limitations and Future Directions

  • Functional Data Gap: No direct studies on YNL150W antibody’s performance in peer-reviewed literature were identified in the provided sources.

  • Expand Validation: Further testing in additional assays (e.g., ELISA, chromatin immunoprecipitation) would enhance utility .

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
YNL150W antibody; N1773 antibody; Putative uncharacterized protein YNL150W antibody
Target Names
YNL150W
Uniprot No.

Q&A

How should researchers validate the specificity of YNL150W antibodies?

Antibody validation requires a comprehensive approach using knockout controls. Following YCharOS standards, researchers should perform Western blot analysis using wild-type yeast lysates alongside YNL150W knockout lysates. A specific antibody will show bands only in the wild-type lane, while nonspecific antibodies may display bands in both samples. Additionally, researchers should consider conducting immunoprecipitation and immunofluorescence experiments to confirm specificity across multiple experimental contexts . Cross-reactivity testing against closely related yeast proteins is also essential to ensure target specificity.

What characterization data should researchers expect when selecting YNL150W antibodies?

Researchers should expect comprehensive knockout characterization data that includes Western blot results showing band patterns and molecular weights, immunoprecipitation efficiency, and immunofluorescence localization patterns. According to YCharOS standards, high-quality antibody characterization should provide information on specificity, sensitivity, and reproducibility across multiple applications . Researchers should also look for data regarding the specific epitope recognized by the antibody and whether it detects multiple isoforms or post-translationally modified versions of YNL150W.

What are the key differences between polyclonal and monoclonal YNL150W antibodies in research applications?

Contrary to conventional assumptions, YCharOS data suggests that polyclonal antibodies do not necessarily confer higher efficiency in applications like immunoprecipitation despite binding to multiple epitopes . For YNL150W research, monoclonal antibodies may offer greater consistency between lots and higher specificity for particular epitopes, while polyclonal antibodies might provide greater sensitivity for detecting low-abundance targets. The selection should be based on the specific experimental requirements, with validation data supporting the antibody's performance in the intended application.

What is the optimal experimental design for using YNL150W antibodies in co-immunoprecipitation studies?

For co-immunoprecipitation studies, researchers should first validate antibody specificity through Western blot analysis as described in YCharOS protocols . The experimental design should include appropriate negative controls (IgG isotype control, knockout cells) and positive controls (known interaction partners). When setting up the co-immunoprecipitation experiment, consider using mild lysis conditions to preserve protein-protein interactions while ensuring sufficient extraction of YNL150W. The optimal antibody concentration should be determined empirically, typically starting with 5 μg/ml as used in standard protocols . Post-immunoprecipitation washes should be optimized to reduce background while maintaining specific interactions.

How can researchers optimize Western blot protocols for YNL150W antibody detection?

Optimization of Western blot protocols for YNL150W detection requires careful consideration of several parameters. Based on established methodologies, researchers should:

  • Determine the optimal sample preparation technique (e.g., TCA precipitation, native extraction)

  • Select appropriate gel percentage based on YNL150W's molecular weight

  • Optimize transfer conditions (wet or semi-dry transfer)

  • Test blocking solutions to minimize background (BSA or milk-based blockers)

  • Determine optimal primary antibody concentration (typically starting with a 1:1000 dilution)

  • Select appropriate secondary antibody conjugates based on detection method

  • Optimize incubation times and temperatures

According to YCharOS standards, multiple exposure times should be used to evaluate signal specificity, and lysates from YNL150W knockout cells should be included as negative controls .

What considerations are important when designing immunofluorescence experiments with YNL150W antibodies?

When designing immunofluorescence experiments with YNL150W antibodies, researchers should consider:

  • Fixation method: Paraformaldehyde (4%) is commonly used for 5 minutes , but different fixatives may alter epitope accessibility

  • Permeabilization protocol: Optimization for yeast cells, which have cell walls

  • Appropriate blocking to reduce background: Typically PBS with 1% BSA

  • Primary antibody concentration: Starting with 5 μg/ml as a baseline

  • Selection of fluorophore-conjugated secondary antibodies

  • Inclusion of appropriate controls: YNL150W knockout cells, secondary-only controls

  • Co-localization markers for expected subcellular localization

  • Imaging parameters: Exposure settings, Z-stack acquisition for proper localization

The experimental design should account for YNL150W's expected subcellular localization and expression level in different yeast growth conditions.

How can molecular modeling approaches be used to predict and optimize YNL150W antibody binding?

Advanced molecular modeling approaches can significantly enhance YNL150W antibody research. Following principles described in antibody-antigen interaction studies , researchers can:

  • Model antibody-antigen interactions based on monovalent on/off rate kinetics measured by surface plasmon resonance

  • Calculate effective antigen concentration within the microenvironment of a bound antibody

  • Predict bivalent binding behaviors using mathematical models that incorporate geometric constraints

  • Optimize antibody engineering approaches based on predicted interactions

The mathematical framework described by Rhoden and DiMasi provides insights into key parameters affecting multivalent engagement, allowing researchers to make quantitative predictions regarding YNL150W antibody binding and guide antibody engineering efforts.

What approaches are effective for reducing viscosity in high-concentration YNL150W antibody preparations?

For researchers working with high-concentration YNL150W antibody preparations, viscosity can be a significant challenge. Based on variable domain mutational analysis , several approaches can be effective:

StrategyDescriptionExpected Outcome
Single point mutationsTargeted substitutions in variable domains (e.g., Y30H, Y100bQ)17.1-25.4 cP reduction from 35.6 cP baseline
Interaction parameter optimizationModifications to increase kD valueImproved solution properties
Charge engineeringSubstitutions that alter pIReduced self-association

Researchers should consider that mutations to reduce viscosity must be balanced against maintaining binding affinity. According to published data, variants like VH Y100bQ can achieve substantial viscosity reduction (from 35.6 cP to 22.7 cP) with minimal impact on antigen binding .

How can nanobody approaches be adapted for YNL150W research applications?

The emerging field of nanobody technology, exemplified by the llama-derived nanobodies for HIV research , offers promising applications for YNL150W studies. Researchers can adapt these approaches by:

  • Immunizing camelids (e.g., llamas) with purified YNL150W protein

  • Isolating heavy chain-only antibodies, which are more effective for certain applications than conventional antibodies with light chains

  • Engineering nanobodies into multi-format constructs (e.g., triple tandem format) to enhance binding effectiveness

  • Fusing nanobodies with other functional domains for specialized applications

The smaller size of nanobodies (approximately one-tenth the size of conventional antibodies) enables access to epitopes that might be inaccessible to traditional antibodies, potentially offering unique research applications for studying YNL150W function .

What are common causes of false positive signals in YNL150W antibody experiments and how can they be addressed?

False positive signals in YNL150W antibody experiments can arise from multiple sources. Based on antibody characterization data , common causes include:

  • Cross-reactivity with related yeast proteins

  • Non-specific binding to abundant cellular components

  • Secondary antibody binding to endogenous proteins

  • Improper blocking resulting in high background

To address these issues, researchers should:

  • Include YNL150W knockout controls in all experiments

  • Perform epitope mapping to understand binding specificity

  • Optimize blocking conditions (duration, composition)

  • Pre-absorb antibodies against knockout cell lysates

  • Use appropriate wash conditions to reduce non-specific binding

  • Validate results using orthogonal detection methods

The YCharOS approach of comprehensive characterization across multiple applications can help identify antibody-specific limitations and inform experimental design modifications .

How should researchers interpret contradictory results between different applications of the same YNL150W antibody?

When facing contradictory results between applications (e.g., positive Western blot but negative immunofluorescence), researchers should consider several factors:

  • Epitope accessibility: The YNL150W epitope may be masked in certain applications due to protein folding, complex formation, or fixation effects

  • Protein denaturation: Some epitopes are only accessible in denatured states (Western blot) but not in native conditions (immunoprecipitation)

  • Expression levels: Detection thresholds differ between methods

  • Post-translational modifications: These may affect antibody recognition in a context-dependent manner

To resolve contradictions, researchers should:

  • Consult comprehensive antibody characterization data like those provided by YCharOS

  • Test alternative antibodies targeting different epitopes of YNL150W

  • Perform epitope mapping to understand recognition constraints

  • Use complementary detection methods to confirm results

  • Consider native versus denaturing conditions in experimental design

What considerations are important when quantifying YNL150W expression across different yeast strains or conditions?

Accurate quantification of YNL150W expression requires careful attention to several methodological factors:

  • Control for total protein loading using multiple housekeeping proteins appropriate for yeast

  • Account for strain-specific differences in antibody accessibility or epitope conservation

  • Establish a linear detection range for the antibody through titration experiments

  • Use appropriate normalization methods for different growth conditions

  • Consider post-translational modifications that may affect antibody recognition

  • Establish biological replicates to account for natural variation in expression

Quantitative Western blot analysis should employ digital image acquisition and analysis software with appropriate background subtraction and normalization. Researchers should avoid relying solely on antibody-based quantification and validate findings using orthogonal approaches such as RT-qPCR or mass spectrometry where possible.

How can multiplex antibody arrays be developed for studying YNL150W interactions with other yeast proteins?

Developing multiplex antibody arrays for YNL150W interaction studies requires several technical considerations:

  • Selection of antibodies with minimal cross-reactivity among the target protein set

  • Optimization of surface chemistry for antibody immobilization

  • Development of detection methods for protein-protein interactions

  • Calibration standards for quantitative analysis

Following principles established in antibody characterization research , researchers should validate each antibody individually before incorporation into the array. Surface plasmon resonance or similar techniques can be used to determine binding kinetics and potential cross-reactivity. The development of such arrays would enable high-throughput screening of YNL150W interactions under various genetic or environmental perturbations.

What are the technical challenges and solutions for developing antibodies against post-translationally modified forms of YNL150W?

Developing antibodies that specifically recognize post-translationally modified forms of YNL150W presents several challenges:

  • Generating suitable modified antigens for immunization

  • Ensuring specificity for the modified form over the unmodified protein

  • Validating specificity in complex biological samples

  • Maintaining consistent recognition across experimental conditions

Solutions include:

  • Using synthetic peptides with specific modifications for immunization

  • Employing affinity purification with both modified and unmodified antigens

  • Developing rigorous validation protocols with appropriate controls

  • Characterizing antibodies using multiple methods (Western blot, immunoprecipitation, mass spectrometry)

Researchers should also consider the biological relevance of the modification, its abundance, and stability when designing experiments with modification-specific antibodies.

How can structural biology approaches be integrated with YNL150W antibody research to enhance functional studies?

Integration of structural biology with YNL150W antibody research can significantly advance functional understanding through:

  • Epitope mapping using X-ray crystallography or cryo-EM of antibody-antigen complexes

  • Structure-guided antibody engineering to improve specificity or binding properties

  • Identification of functionally important domains through competitive binding studies

  • Development of conformation-specific antibodies that recognize particular structural states

Mathematical modeling approaches described by Rhoden and DiMasi can be combined with structural data to predict antibody binding properties and guide rational design. Researchers can leverage these integrated approaches to develop antibodies that selectively recognize specific functional states of YNL150W, enabling more detailed studies of its biological roles and regulatory mechanisms.

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