YNL277W-A Antibody

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Description

Target Protein: YNL277W-A

YNL277W-A is a hypothetical protein encoded by the YNL277W-A gene in Saccharomyces cerevisiae. While its precise biological function remains uncharacterized, yeast genome databases suggest it may play a role in transcriptional regulation or stress response pathways. The gene is located on chromosome XIV, and orthologs are absent in higher eukaryotes, making it a yeast-specific research target .

Research Applications

  • ELISA: Detects antigen-antibody binding with high specificity .

  • Western Blot: Identifies YNL277W-A protein in yeast lysates under denaturing conditions .

  • Functional Studies: Potential use in exploring protein-protein interactions or gene knockout phenotypes .

Limitations and Gaps in Research

No peer-reviewed studies specifically investigating YNL277W-A Antibody or its target protein were identified in the available literature. Current knowledge is limited to product datasheets and yeast genomic annotations . Further studies are needed to:

  • Characterize the physiological role of YNL277W-A in yeast.

  • Validate cross-reactivity with other yeast strains or related species.

  • Optimize protocols for advanced applications like immunoprecipitation or fluorescence microscopy.

Comparative Analysis

While YNL277W-A Antibody is tailored for yeast research, similar antibodies targeting other yeast proteins (e.g., YTA12, YSY6) share comparable technical profiles, including polyclonal IgG formats and affinity purification methods .

FeatureYNL277W-A AntibodyYTA12 Antibody (Control)
Target ProteinHypothetical proteinRibosomal protein component
ApplicationsELISA, WBELISA, WB, IHC
Species ReactivityS. cerevisiaeS. cerevisiae
Commercial AvailabilityCustom orderStock available

Product Specs

Buffer
**Preservative:** 0.03% Proclin 300
**Constituents:** 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
YNL277W-A antibody; Uncharacterized protein YNL277W-A antibody
Target Names
YNL277W-A
Uniprot No.

Q&A

What is YNL277W-A and why is it significant for antibody-based research?

YNL277W-A is a gene designation in Saccharomyces cerevisiae (baker's yeast) that encodes a specific protein. Antibodies targeting this protein are valuable tools for studying yeast cellular processes, particularly those involving metabolic regulation and protein expression. The significance of YNL277W-A stems from its involvement in critical cellular functions, making it an important target for researchers investigating fundamental biological processes in eukaryotic systems. Similar to other yeast proteins, studying YNL277W-A can provide insights into conserved mechanisms that may apply to more complex organisms . Methodologically, researchers typically generate these antibodies by expressing recombinant YNL277W-A protein fragments, purifying them, and then using them as immunogens in host animals (typically rabbits) to produce polyclonal antibodies, or through hybridoma technology for monoclonal antibodies.

What are the recommended protocols for YNL277W-A antibody validation in yeast systems?

Proper validation of YNL277W-A antibodies requires multiple complementary approaches to ensure specificity and reliability in experimental applications. A comprehensive validation protocol should include:

  • Western blot analysis with positive and negative controls (wild-type vs. YNL277W-A deletion strains)

  • Immunoprecipitation followed by mass spectrometry verification

  • Immunofluorescence microscopy correlation with GFP-tagged constructs

  • Testing across multiple yeast strains to confirm consistency

  • Validation in different experimental conditions (e.g., different growth phases)

For immunoblotting applications specifically, researchers should follow protocols similar to those used for other yeast proteins, typically using anti-rabbit HRP-conjugated secondary antibodies at 1:2000 dilution as described in similar yeast protein studies . Complete validation should include demonstration of antibody specificity, reproducibility across different lots, and performance in all intended applications.

How should researchers optimize fixation and permeabilization for YNL277W-A immunofluorescence studies?

Optimization of fixation and permeabilization conditions is critical for successful YNL277W-A immunofluorescence studies in yeast. The cell wall of Saccharomyces cerevisiae presents a significant barrier to antibody penetration, requiring careful protocol optimization. Researchers should consider:

  • Comparison of formaldehyde fixation (3.7-4% for 30-60 minutes) versus methanol/acetone fixation

  • Enzymatic digestion of cell wall using zymolyase or lyticase prior to permeabilization

  • Optimization of detergent permeabilization (typically 0.1-0.5% Triton X-100)

  • Testing of different blocking agents to reduce background (BSA vs. normal serum)

  • Antibody dilution series to determine optimal concentration

The choice between fixation methods should be guided by experimental objectives and the cellular localization of YNL277W-A. For proteins with multiple compartmental localizations, parallel processing with different fixation methods may be necessary to comprehensively detect all protein pools.

What controls should be included when using YNL277W-A antibodies in co-immunoprecipitation experiments?

When conducting co-immunoprecipitation (co-IP) experiments with YNL277W-A antibodies, several controls are essential to ensure the validity and specificity of identified interactions:

Control TypePurposeImplementation
Input controlConfirms protein presence before IP5-10% of lysate reserved before IP
No-antibody controlIdentifies non-specific binding to beadsIP procedure without primary antibody
Isotype controlDetects non-specific interactionsIP with irrelevant antibody of same isotype
YNL277W-A deletion strainValidates specificityParallel IP using knockout strain
Reciprocal IPConfirms interactionIP with antibody against suspected interacting partner
RNase/DNase treatmentDistinguishes direct vs. nucleic acid-mediated interactionsNuclease treatment of lysates before IP

Additionally, researchers should consider the buffer conditions, as interactions in yeast systems can be particularly sensitive to salt concentration and detergent choice. For studying protein complexes involved in translational control, similar to those investigated with multi-KH domain proteins like Scp160 , using RNase treatment controls becomes particularly important to distinguish RNA-dependent and independent interactions.

How can YNL277W-A antibodies be utilized to investigate metabolic regulation in synthetic pathway engineering?

YNL277W-A antibodies can serve as powerful tools for investigating metabolic regulation in synthetic pathway engineering, particularly in systems designed for bioproduction of value-added compounds. Methodological approaches include:

  • Chromatin immunoprecipitation (ChIP) analysis to identify regulatory interactions at the genomic level

  • Quantitative immunoblotting to monitor YNL277W-A expression levels during adaptation to engineered pathways

  • Immunoprecipitation coupled with metabolomics to identify metabolite-protein interactions

  • Pulse-chase immunoprecipitation to determine protein turnover rates in response to metabolic shifts

When engineering synthetic pathways for production of compounds such as C4 monomers, researchers can use YNL277W-A antibodies to track changes in protein expression and localization during adaptive evolution. For example, studies have shown significant metabolic adaptations during optimization of pathways for n-butanol production, with 25-fold increases in acetyl-CoA building blocks attained through adaptive evolution . YNL277W-A antibodies can help elucidate the regulatory mechanisms involved in such dramatic metabolic shifts, particularly if the protein plays a role in acetyl-CoA metabolism or regulation.

What techniques can be employed to multiplex YNL277W-A antibody detection with other markers in complex yeast cellular studies?

Advanced multiplexing techniques allow simultaneous detection of YNL277W-A and other cellular markers, enabling comprehensive analysis of complex cellular processes:

  • Spectral imaging flow cytometry using differentially labeled secondary antibodies

  • Sequential immunofluorescence with antibody stripping and reprobing

  • Mass cytometry (CyTOF) using metal-conjugated antibodies for high-dimensional analysis

  • Proximity ligation assays (PLA) to detect protein-protein interactions in situ

  • Multiplexed immunohistochemistry with tyramide signal amplification

Implementation requires careful selection of compatible fluorophores or other detection systems, thorough blocking between sequential staining steps, and rigorous validation through single-stain controls. For studying metabolic compartmentalization in eukaryotic cells, similar to approaches used in n-butanol pathway engineering in yeast , multiplexed antibody detection can reveal spatial relationships between YNL277W-A and key metabolic enzymes across different cellular compartments.

How can researchers integrate YNL277W-A antibody-based assays with RNA-sequencing data to understand translational control mechanisms?

Integrating YNL277W-A antibody-based assays with RNA-sequencing provides a powerful approach to understand translational control mechanisms:

  • Ribosome profiling coupled with YNL277W-A immunoprecipitation to identify actively translated mRNAs associated with the protein

  • Polysome profiling followed by immunoblotting for YNL277W-A to determine association with translating ribosomes

  • CLIP-seq (cross-linking immunoprecipitation) to identify direct RNA binding targets

  • Parallel RNA-seq and quantitative proteomics using YNL277W-A antibodies to calculate translation efficiency

  • Single-cell immunofluorescence combined with single-cell RNA-seq for spatial correlation

This integrated approach is particularly valuable given the known disconnect between transcript and protein levels in yeast systems. Studies have shown poor correlation between protein levels and transcript levels in S. cerevisiae under different media conditions , highlighting the importance of post-transcriptional regulation. YNL277W-A antibodies can help reveal how this specific protein contributes to translational control mechanisms, similar to other RNA-binding proteins like the multi-KH domain protein Scp160 that has been implicated in translational control .

What considerations are important when using YNL277W-A antibodies in cross-species comparative studies?

When extending YNL277W-A antibody applications to cross-species comparative studies, researchers must address several critical considerations:

  • Epitope conservation analysis across species using sequence alignment and structural modeling

  • Validation of cross-reactivity using recombinant proteins from each target species

  • Optimization of extraction buffers to accommodate differences in cellular composition

  • Adjustment of blocking conditions to minimize species-specific background

  • Implementation of peptide competition assays to confirm specificity in each species

Cross-species applications are particularly valuable for understanding conserved mechanisms. The approach to antibody validation should include western blot analysis with lysates from multiple species, with expected molecular weight shifts based on sequence divergence. For each new species, a complete revalidation process should be conducted, as antibody performance can vary significantly despite high sequence homology. When studying complex systems like virus-like particle production across different yeast strains, as described in research on rotavirus-like particles , antibody cross-reactivity must be rigorously established to ensure consistent detection across genetic backgrounds.

What are the most common causes of non-specific binding with YNL277W-A antibodies and how can they be mitigated?

Non-specific binding is a common challenge when working with antibodies against yeast proteins like YNL277W-A. The most frequent causes and mitigation strategies include:

Problem SourceManifestationMitigation Strategy
Insufficient blockingHigh backgroundIncrease blocking agent concentration (5% BSA or milk) and time (2+ hours)
Cross-reactivity with related proteinsUnexpected bandsUse peptide competition assays to confirm specificity
Post-translational modificationsMultiple bandsTreat samples with phosphatases or deglycosylation enzymes
Sample degradationSmeared signalsAdd protease inhibitors freshly before lysis
Excessive antibody concentrationHigh backgroundOptimize antibody dilution through titration experiments
Detergent incompatibilityIrregular backgroundTest multiple detergents (Tween-20, Triton X-100, NP-40)

Additionally, using pre-adsorption techniques where the antibody is pre-incubated with lysates from YNL277W-A deletion strains can effectively remove cross-reactive antibodies from polyclonal preparations. For immunofluorescence applications, including a secondary-only control is essential to distinguish between primary antibody specificity issues and secondary antibody background .

How can researchers optimize YNL277W-A antibody-based chromatin immunoprecipitation (ChIP) protocols for studying transcriptional regulation?

Optimizing ChIP protocols for YNL277W-A requires systematic adjustment of several parameters to achieve high signal-to-noise ratios while maintaining chromatin integrity:

  • Cross-linking optimization: Test formaldehyde concentrations (0.5-3%) and incubation times (5-30 minutes)

  • Chromatin fragmentation: Compare sonication parameters (amplitude, cycle number, duration) and enzymatic digestion approaches

  • Antibody validation: Conduct ChIP-grade validation using positive and negative genomic regions

  • Washing stringency: Develop a gradient of salt concentrations to determine optimal specificity

  • Input normalization: Standardize to 1-5% of pre-immunoprecipitation chromatin

For yeast systems specifically, spheroplasting efficiency before chromatin extraction is critical. Additional considerations include the potential need for tandem ChIP approaches if studying YNL277W-A in complex with other transcription factors. The development of optimized protocols is particularly important when studying the relationship between metabolism and transcriptional regulation, as observed in systems where acetyl-CoA levels influence histone acetylation, such as in studies examining the effect of GCN5 deletion, which consumes acetyl-CoA through its histone acetylase activity .

What strategies can improve detection sensitivity for low-abundance YNL277W-A protein in different subcellular compartments?

Detecting low-abundance YNL277W-A protein, particularly when distributed across different subcellular compartments, requires specialized approaches:

  • Signal amplification: Implement tyramide signal amplification (TSA) or rolling circle amplification

  • Subcellular fractionation: Enrich specific compartments before immunoblotting

  • Proximity ligation assay (PLA): Use paired antibodies for exponential signal amplification

  • Super-resolution microscopy: Apply techniques like STORM or PALM for enhanced spatial resolution

  • Affinity purification: Use tandem purification strategies before detection

  • Enhanced chemiluminescence: Use highly sensitive ECL substrates for western blots

Each approach must be validated for specificity using appropriate controls. For compartment-specific detection, co-staining with established compartment markers is essential. These approaches are particularly relevant when studying proteins involved in metabolic compartmentalization in yeast, as observed in studies examining the effect of localizing specific enzymes to different cellular compartments to enhance production of compounds like n-butanol .

How should researchers interpret and troubleshoot discrepancies between YNL277W-A antibody results and genetic reporter systems?

Discrepancies between antibody-based detection and genetic reporter systems (e.g., GFP fusions) are common and require systematic troubleshooting:

  • Expression timing differences: Antibodies detect endogenous protein levels while reporters may have different expression kinetics

  • Epitope masking: Protein interactions or conformational changes may block antibody access

  • Reporter interference: Fusion tags may alter protein localization, stability, or function

  • Fixation artifacts: Different fixation methods can differentially affect epitope accessibility

  • Detection threshold differences: Fluorescent proteins may have different detection sensitivities compared to antibody-based methods

Resolution approaches include:

  • Performing parallel time-course experiments with both detection methods

  • Using multiple antibodies targeting different epitopes

  • Creating C- and N-terminal reporter fusions to determine tag position effects

  • Comparing live-cell imaging with fixed cell antibody detection

  • Quantitative correlation analysis between methods under various conditions

When studying complex processes like virus-like particle assembly in yeast, such discrepancies are particularly important to resolve, as they may reveal fundamental aspects of protein dynamics and interactions .

How can YNL277W-A antibodies be integrated into single-cell protein analysis workflows?

Integration of YNL277W-A antibodies into single-cell protein analysis represents an emerging frontier with several methodological approaches:

  • Mass cytometry (CyTOF): Metal-conjugated antibodies enable high-dimensional analysis of dozens of proteins simultaneously at single-cell resolution

  • Microfluidic antibody capture: Microwell arrays with immobilized antibodies for single-cell secretion profiling

  • Single-cell Western blotting: Miniaturized electrophoresis followed by antibody probing

  • Imaging mass cytometry: Spatial distribution of proteins in fixed cells at subcellular resolution

  • Cyclic immunofluorescence: Sequential staining, imaging, and quenching for multiplexed protein detection

Implementation challenges include ensuring antibody specificity at the single-cell level, developing compatible protocols for yeast cell wall disruption, and establishing quantitative standards for calibration. These approaches allow researchers to characterize cell-to-cell variability in YNL277W-A expression and localization, which is particularly relevant when studying heterogeneous responses to metabolic perturbations or during adaptive evolution experiments, as observed in studies of synthetic pathway evolution .

What are the considerations for using YNL277W-A antibodies in investigating protein-metabolite interactions?

Investigating protein-metabolite interactions using YNL277W-A antibodies requires specialized approaches:

  • Metabolite-protein co-immunoprecipitation: Identify metabolites bound to YNL277W-A through targeted or untargeted metabolomics

  • Thermal proteome profiling: Detect changes in YNL277W-A thermal stability upon metabolite binding

  • Cellular thermal shift assays (CETSA): Monitor metabolite-induced changes in protein solubility

  • Microscale thermophoresis: Quantify binding affinities between purified YNL277W-A and metabolites

  • Chemical cross-linking: Covalently capture transient metabolite-protein interactions

Methodological considerations include:

  • Buffer optimization to maintain metabolite-protein interactions during extraction

  • Control experiments with structurally similar metabolites to confirm specificity

  • Correlation of metabolite binding with functional outcomes

  • Integration with metabolic flux analysis to connect binding events to pathway activities

These approaches are particularly valuable when studying proteins involved in metabolic regulation, such as those affecting acetyl-CoA pools, which exist at the crossroads of metabolism and global cellular regulation . Understanding YNL277W-A interactions with key metabolites could reveal its role in coordinating metabolism with other cellular processes.

How can YNL277W-A antibodies be applied in studies of cellular adaptation to synthetic pathway engineering?

YNL277W-A antibodies can be valuable tools for studying cellular adaptation to synthetic pathway engineering:

  • Temporal proteomics: Track YNL277W-A expression changes during adaptation to engineered pathways

  • Spatial redistribution analysis: Monitor changes in subcellular localization using immunofluorescence

  • Protein-protein interaction network mapping: Identify shifts in YNL277W-A interactome during adaptation

  • Post-translational modification profiling: Detect adaptive changes in YNL277W-A modification state

  • Chromatin association studies: Examine changes in YNL277W-A genome binding patterns

Implementation strategies should include sampling across multiple timepoints during adaptive evolution, correlation with phenotypic measurements, and integration with multi-omics data. Studies have shown that adaptive evolution can lead to significant changes in central metabolism, including 25-fold increases in acetyl-CoA levels . YNL277W-A antibodies can help elucidate the molecular mechanisms underlying such adaptations, revealing how cells rewire their regulatory networks to optimize production of target compounds through synthetic pathways.

What emerging technologies will enhance the utility of YNL277W-A antibodies in multimodal cellular analysis?

Several emerging technologies promise to expand the applications of YNL277W-A antibodies in advanced cellular analysis:

  • Spatial transcriptomics integrated with antibody detection: Correlate protein localization with gene expression patterns

  • CRISPR-based antibody tagging: Direct labeling of endogenous proteins without overexpression artifacts

  • Quantum dot-conjugated antibodies: Enhanced photostability for long-term imaging

  • Nanobody and aptamer alternatives: Smaller binding molecules for improved tissue penetration

  • Antibody-guided CRISPR effectors: Targeted epigenetic modulation at YNL277W-A binding sites

  • AI-enhanced image analysis: Automated detection of subtle changes in localization patterns

Implementation considerations include validation standards for each new technology, compatibility with yeast cell biology, and quantitative benchmarking against established methods. These technologies will be particularly valuable for studying complex processes like compartmentalization of metabolic pathways in eukaryotic cells and the formation of multilayered structures like virus-like particles in yeast systems . The integration of multiple modalities (genomic, transcriptomic, proteomic, and metabolomic) with YNL277W-A antibody-based approaches will provide unprecedented insights into the role of this protein in cellular regulation.

What are the current limitations of YNL277W-A antibody-based research and potential solutions?

Current limitations of YNL277W-A antibody-based research include:

  • Batch-to-batch variability: Often requiring extensive revalidation between lots

  • Limited epitope coverage: Most antibodies target only one region of the protein

  • Cross-reactivity challenges: Particularly with related yeast proteins

  • Temporal resolution constraints: Standard immunodetection provides snapshots rather than dynamic information

  • Quantitative accuracy: Nonlinear relationship between signal and protein abundance

Emerging solutions include:

  • Recombinant antibody production for improved consistency

  • Development of antibody panels targeting multiple epitopes

  • Advanced specificity testing including knockout validation

  • Integration with live-cell reporter systems for temporal information

  • Adoption of quantitative standards and calibration methods

Addressing these limitations will enhance the reliability and utility of YNL277W-A antibodies in complex experimental systems, particularly when studying dynamic processes like the regulation of metabolism through acetyl-CoA, which plays crucial roles in both metabolic pathways and global cellular regulation through processes like histone acetylation .

How might YNL277W-A antibody applications evolve to address emerging questions in synthetic biology and metabolic engineering?

The application of YNL277W-A antibodies in synthetic biology and metabolic engineering is likely to evolve in several directions:

  • Integration with biosensors: Combining antibody detection with real-time metabolite sensing

  • Dynamic interactome mapping: Tracking changes in protein-protein interactions during metabolic shifts

  • In situ structural biology: Probing conformational changes in native cellular environments

  • Synthetic circuit monitoring: Validating the performance of engineered genetic circuits

  • Compartmentalization studies: Examining protein localization in artificially created organelles

  • Multi-species comparative analysis: Understanding conservation of regulatory mechanisms

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