YGR122W Antibody

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Description

YGR122W Protein Overview

YGR122W is a non-essential yeast gene encoding a 52 kDa protein involved in the Rim101 signaling pathway and ESCRT-mediated processes. Key features include:

PropertyDetail
Molecular Weight52 kDa
Cellular LocalizationCytoplasm, Endosomal Membranes
Key InteractionsSnf7 (ESCRT-III), Rim20, Dfg16
Biological FunctionsRim101 proteolytic activation, pH adaptation, fungal mat formation

The protein facilitates Rim101 processing, enabling fungal responses to alkaline stress .

YGR122W Antibody Applications

Antibodies against YGR122W are primarily used to investigate its role in pH signaling and membrane trafficking. Common applications include:

ApplicationExperimental ContextValidation Method
Western BlottingDetects YGR122W in lysates from S. cerevisiae strains under varying pH conditionsGenetic knockout controls
ImmunoprecipitationIdentifies ESCRT-III (Snf7) and Rim pathway interactorsCo-immunoprecipitation with tagged proteins
Functional StudiesLinks YGR122W to invasive growth and mat formation in yeastPhenotypic assays (e.g., overlay adhesion)

Role in Rim101 Activation

YGR122W collaborates with Dfg16 and ESCRT components (e.g., Vps20, Snf7) to proteolytically process Rim101, a transcription factor critical for alkaline pH adaptation. Key evidence includes:

  • Genetic dependency: YGR122W deletion strains show defective Rim101 processing, impairing NRE (Negative Regulatory Element)-mediated repression .

  • Physical interaction: YGR122W co-purifies with Snf7 (ESCRT-III) and Rim20 in immunoprecipitation assays .

Contribution to Fungal Mat Formation

YGR122W regulates FLO11 expression, a gene essential for yeast mat formation. Studies using Flo11-HA tagged strains demonstrated:

  • Localization: YGR122W-dependent Rim101 activity localizes Flo11 to cell surfaces during mat development .

  • Quantitative impact: YGR122W deletion reduces FLO11 mRNA levels by >80% under adhesion-inducing conditions .

Antibody Validation and Challenges

The specificity of YGR122W antibodies is validated using:

  • Orthogonal controls: siRNA/shRNA knockdown in target systems .

  • Genetic knockouts: Absence of signal in YGR122WΔ strains confirms specificity .

Challenges include:

  • Condition-dependent performance: Antibody efficacy may vary across cell types or pH conditions .

  • Commercial limitations: As of 2025, no YGR122W antibodies are cataloged by major vendors (e.g., Abcam, G-Biosciences), necessitating custom production .

Future Directions

  • Structural studies: Resolve YGR122W’s interaction interface with Snf7 using cryo-EM.

  • Therapeutic potential: Explore YGR122W as a target for antifungal agents disrupting pH adaptation.

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
YGR122W antibody; G6335 antibody; Uncharacterized protein YGR122W antibody
Target Names
YGR122W
Uniprot No.

Q&A

What is YGR122W and why are antibodies against it important for yeast research?

YGR122W is a gene designation in Saccharomyces cerevisiae (baker's yeast), one of the most studied eukaryotic model organisms. Antibodies against the YGR122W protein product are valuable tools for investigating fundamental cellular mechanisms, drug-induced toxicity, and human disease models.

Yeast has proven to be an exceptionally useful tool in molecular and cell biology research due to its well-characterized genome and the high conservation of essential biological processes between yeast and humans. As noted in research literature, "most of the essential biological processes, such as DNA damage repair, stress response, proteasomal and vacuolar protein degradation, protein trafficking, nutrient signaling pathways and regulation of cell cycle progression, are highly conserved between yeast and humans" .

Antibodies against YGR122W enable researchers to track the expression, localization, and interactions of this protein, providing insights into its biological functions and potential roles in cellular responses to drug-induced toxicity or stress conditions.

What validation methods should be employed to confirm YGR122W antibody specificity?

Validating antibody specificity is crucial for ensuring reliable experimental results. For YGR122W antibodies, multiple complementary approaches should be used:

First, perform Western blot analysis using wild-type yeast and a YGR122W knockout strain. A specific antibody will detect a band of the expected molecular weight in the wild-type sample but not in the knockout. This comparison is essential because, as demonstrated in studies of other yeast proteins, antibodies may sometimes cross-react with proteins of similar structure.

Second, implement immunoprecipitation followed by mass spectrometry to confirm that the antibody primarily pulls down YGR122W rather than unrelated proteins. This approach helps identify potential cross-reactivity that could confound experimental interpretation.

Third, use tagged versions of YGR122W (e.g., with GFP or FLAG) and compare the detection patterns between the antibody against the native protein and antibodies against the tag. Concordant localization patterns provide strong evidence for specificity.

Finally, perform immunofluorescence in both wild-type and knockout strains to verify that the staining pattern is absent in cells lacking YGR122W. This spatial validation complements the biochemical approaches described above.

What are the optimal storage and handling conditions for YGR122W antibodies?

Proper storage and handling of YGR122W antibodies are critical for maintaining their specificity and activity over time. Implement the following best practices:

For long-term storage, keep antibodies at -80°C in small aliquots (10-50 μL) to minimize freeze-thaw cycles, which can lead to antibody denaturation and loss of function. For working stocks, store at -20°C or 4°C according to the manufacturer's recommendations.

Avoid repeated freeze-thaw cycles by preparing single-use aliquots. Each freeze-thaw cycle can reduce antibody activity by 5-20%, potentially leading to inconsistent results across experiments.

When handling antibodies, always use clean, nuclease-free tubes and pipette tips. Contamination with bacteria or fungi can degrade antibodies through protease activity. Additionally, maintain sterile technique when accessing antibody stocks.

Finally, maintain proper records of antibody lot numbers, receipt dates, and experimental outcomes to track potential variability between lots or deterioration over time.

What basic controls should be included when using YGR122W antibodies in Western blots?

Rigorous controls are essential for interpreting Western blot results with YGR122W antibodies:

The primary negative control should be a YGR122W deletion strain sample processed identically to your experimental samples. An absence of signal in this lane confirms antibody specificity. If a knockout strain is unavailable, use a peptide competition assay where the antibody is pre-incubated with excess target peptide before application to the membrane.

For positive controls, include either a purified recombinant YGR122W protein or an overexpression strain. This establishes the correct band size and confirms antibody functionality.

Include a loading control antibody targeting a constitutively expressed protein like Pgk1 or Act1 (actin) to normalize for variations in sample loading. This is particularly important when comparing YGR122W levels across different conditions or strains.

Always run a molecular weight marker to confirm that the detected band corresponds to the expected size of YGR122W. Unexpected bands may indicate post-translational modifications, degradation products, or non-specific binding.

Finally, a secondary antibody-only control (omitting primary antibody) helps identify potential non-specific binding of the secondary antibody to endogenous yeast proteins.

How can YGR122W antibodies be used to investigate protein-protein interactions?

YGR122W antibodies provide powerful tools for uncovering protein interaction networks through several complementary approaches:

Co-immunoprecipitation (Co-IP) represents the gold standard for investigating protein-protein interactions. Lyse yeast cells under non-denaturing conditions (typically using 1% NP-40 or 0.5% Triton X-100), then use YGR122W antibodies conjugated to beads (Protein A/G or magnetic) to pull down YGR122W along with its interaction partners. Analyze these complexes via Western blot or mass spectrometry to identify interacting proteins. To preserve weak or transient interactions, consider crosslinking with formaldehyde (0.1-1%) prior to lysis.

Proximity-based labeling can capture even transient interactions. Express YGR122W fused to BioID or APEX2, which will biotinylate proteins in close proximity when activated. Then use YGR122W antibodies in parallel with streptavidin pulldowns to confirm the specificity of interactions.

For confirming direct interactions, implement in vitro binding assays using purified YGR122W (immunoprecipitated with your antibody) and candidate interacting proteins. This approach eliminates the possibility that interactions observed in Co-IP are mediated by other proteins.

Importantly, always verify interactions bidirectionally by performing reverse Co-IPs with antibodies against putative interacting partners to pull down YGR122W. This validation step significantly reduces the likelihood of false positives.

What considerations are important when using YGR122W antibodies for chromatin immunoprecipitation (ChIP) studies?

Chromatin immunoprecipitation with YGR122W antibodies requires specific optimization to successfully capture DNA-protein interactions:

Antibody quality is paramount for ChIP applications. Not all YGR122W antibodies will work effectively for ChIP, even if they perform well in Western blots or immunoprecipitation. Test multiple antibodies and select those that show high enrichment of known or predicted target regions compared to control regions.

Crosslinking conditions critically impact ChIP efficiency. Standard protocols use 1% formaldehyde for 10-15 minutes, but YGR122W may require optimization. If YGR122W has transient DNA interactions, shorter crosslinking times (3-5 minutes) may be optimal, while stable interactions might benefit from longer crosslinking (up to 20 minutes).

Sonication conditions must be optimized to generate DNA fragments of 200-500 bp. Over-sonication can destroy epitopes and reduce antibody recognition, while under-sonication leads to poor resolution and high background. Verify fragmentation efficiency by reversing crosslinks on a small aliquot and analyzing DNA size on an agarose gel.

For analysis, qPCR targeting specific genomic regions provides quantitative enrichment data, while ChIP-seq offers genome-wide binding profiles. In both cases, appropriate normalization to input and negative control regions is essential for accurate interpretation.

How can quantitative immunoblotting be optimized for YGR122W antibodies?

Quantitative immunoblotting with YGR122W antibodies requires careful attention to several technical parameters:

Establish the linear detection range by preparing a dilution series of your sample and measuring signal intensity versus protein amount. Most antibody-antigen interactions show linearity over a specific concentration range, typically 1-2 orders of magnitude. Operate within this range for accurate quantification.

Optimize primary antibody concentration through a titration experiment. Test dilutions from 1:500 to 1:10,000 to identify the concentration that provides maximal specific signal with minimal background. Similarly, optimize secondary antibody concentration, typically using dilutions between 1:5,000 and 1:20,000.

For detection, fluorescent secondary antibodies offer advantages over chemiluminescence for quantification, including wider linear range and multichannel capabilities. If using chemiluminescence, ensure consistent exposure times across experimental replicates and avoid saturation.

Implement rigorous normalization strategies. Beyond traditional loading controls like actin or GAPDH, consider total protein normalization methods such as Ponceau S staining or stain-free gel technology, which can be more reliable when protein expression changes dramatically across conditions.

Finally, evaluate reproducibility by performing at least three biological replicates and calculating the coefficient of variation. Reliable quantification typically shows CV values below 20%.

What are effective troubleshooting strategies for non-specific binding with YGR122W antibodies?

Non-specific binding can significantly confound experimental interpretation. Implement these strategies to improve specificity:

Optimize blocking conditions by testing different blocking agents including BSA (1-5%), non-fat dry milk (1-5%), casein (0.1-1%), or commercial blocking buffers. Certain blocking agents may be more effective for specific applications—for example, milk contains biotin and should be avoided in streptavidin-based detection systems.

Increase stringency in washing steps by adjusting salt concentration (150-500 mM NaCl), detergent type and concentration (0.05-0.3% Tween-20, Triton X-100, or NP-40), or by adding low concentrations of SDS (0.01-0.1%). More stringent washing removes weak, non-specific interactions while preserving specific antibody binding.

Pre-absorb the YGR122W antibody with extract from a YGR122W knockout strain to remove antibodies that bind to irrelevant yeast proteins. Incubate the antibody with knockout extract for 1-2 hours before using it in your experiment.

Consider epitope competition assays where excess peptide corresponding to the YGR122W epitope is added to the antibody solution. This should block specific binding while leaving non-specific interactions unaffected, helping distinguish between true and artifactual signals.

If background persists, try alternative detection methods. For instance, if HRP-based detection shows high background, switch to fluorescent secondary antibodies, which often provide cleaner results for challenging antibodies.

How should experimental conditions be modified when studying YGR122W under stress conditions?

When investigating YGR122W's role in stress responses, several methodological considerations become critical:

Time-course sampling is essential since stress responses are dynamic. Collect samples at multiple timepoints (e.g., 0, 15, 30, 60 minutes, 2, 4, 8, and 24 hours) after stress induction to capture both immediate and adaptive responses. This approach is supported by research showing that "a drop in oxygen uptake, which represents a decrease in mitochondrial respiration, was measured already seconds after APAP [acetaminophen] addition and before APAP metabolism, indicating that the observed effect was due to the action of unmetabolized APAP" .

Consider stress-specific sample preparation methods. For oxidative stress, include antioxidants like N-ethylmaleimide (NEM) or iodoacetamide in lysis buffers to preserve redox-sensitive modifications. For heat stress, perform lysis at elevated temperatures to preserve heat-induced protein interactions.

Use appropriate stress-specific controls. When studying drug-induced stress, include both vehicle controls and dose-response curves. For nutritional stress, compare rich media to specific nutrient-depleted conditions. Research has demonstrated that "ibuprofen [exposure reveals] sensitivity: biosynthesis of tryptophan, transporters or regulators of transporters, Golgi transport complex, genes involved in protein, processing, transport through the ER and Golgi or vacuolar transport" .

Verify stress induction by monitoring established stress markers alongside YGR122W. For oxidative stress, measure reactive oxygen species levels or antioxidant enzyme activation. For nutritional stress, monitor activation of nutrient-sensing pathways such as TORC1 inhibition.

Finally, consider using complementary approaches such as microscopy to track changes in YGR122W localization during stress, as subcellular relocalization is often part of stress response mechanisms.

What are the optimal conditions for immunoprecipitation using YGR122W antibodies?

Successful immunoprecipitation of YGR122W requires careful optimization of several parameters:

Lysis buffer composition significantly impacts immunoprecipitation efficiency. Start with a standard RIPA buffer (50 mM Tris pH 7.4, 150 mM NaCl, 1% NP-40, 0.5% sodium deoxycholate, 0.1% SDS), but be prepared to adjust detergent concentrations. Milder detergents (0.1-0.5% NP-40 or Triton X-100) better preserve protein-protein interactions but may yield lower protein extraction efficiency.

Include protease inhibitors (complete protease inhibitor cocktail) and phosphatase inhibitors (10 mM sodium fluoride, 1 mM sodium orthovanadate) to prevent degradation and preserve post-translational modifications. For studying ubiquitination, add deubiquitinase inhibitors like N-ethylmaleimide (5-10 mM).

Antibody coupling methods affect both specificity and yield. Direct conjugation to beads (using kits like Dynabeads Antibody Coupling Kit) can provide cleaner results than protein A/G-based methods by eliminating antibody heavy and light chain contamination in the eluate.

Pre-clearing lysates with bare beads for 1 hour at 4°C before adding YGR122W antibody reduces non-specific binding. Similarly, pre-blocking beads with BSA (1-5%) can prevent non-specific protein adsorption.

Optimize elution conditions based on downstream applications. For mass spectrometry, gentle elution with competing peptides maintains protein integrity better than boiling in SDS. For Western blotting, standard SDS-PAGE loading buffer with DTT or β-mercaptoethanol at 95°C for 5 minutes is usually sufficient.

How can epitope tagging strategies enhance YGR122W antibody specificity and detection sensitivity?

Epitope tagging offers powerful approaches to enhance YGR122W detection when native antibodies present challenges:

Select appropriate tags based on experimental goals. Small tags like FLAG (DYKDDDDK), HA (YPYDVPDYA), or V5 (GKPIPNPLLGLDST) minimally interfere with protein function but provide excellent antibody recognition. For visualization, fluorescent protein tags like GFP or mCherry enable live-cell imaging. For purification, use affinity tags like His6, GST, or TAP tag.

Use genomic integration rather than plasmid-based expression when possible. PCR-based genomic integration methods ensure expression from the native genomic locus under endogenous regulatory control, avoiding artifacts from overexpression or altered regulation.

Validate tagged constructs by comparing their expression, localization, and phenotypes to untagged YGR122W. Significant differences may indicate that the tag interferes with normal protein function.

For maximum detection sensitivity, implement signal amplification methods like tyramide signal amplification (TSA) or proximity ligation assay (PLA), which can increase detection sensitivity by 10-100 fold compared to conventional detection methods.

What are the considerations for using YGR122W antibodies in co-localization studies?

Fixation methods critically impact epitope preservation and cellular architecture. For YGR122W, compare paraformaldehyde fixation (preserves structure but may reduce epitope accessibility) with methanol fixation (better for some epitopes but can distort membranes). Optimize fixation time (typically 10-30 minutes) and concentration (2-4% for paraformaldehyde).

For multi-color imaging, select fluorophores with minimal spectral overlap to reduce bleed-through, which can create false co-localization signals. Popular combinations include Alexa Fluor 488/594/647 or Cy2/Cy3/Cy5. Always include single-labeled controls to set proper imaging parameters.

Use appropriate subcellular markers alongside YGR122W antibodies. For instance, include established markers for organelles like the nucleus (DAPI), mitochondria (MitoTracker), endoplasmic reticulum (Sec63), Golgi (Anp1), or vacuole (FM4-64) to provide context for YGR122W localization.

Implement quantitative co-localization analysis rather than relying on visual assessment. Calculate standard coefficients like Pearson's correlation coefficient (values from -1 to +1, with +1 indicating perfect co-localization) or Manders' overlap coefficient (values from 0 to 1, representing percentage of overlap) using software like ImageJ with the JACoP plugin.

Consider super-resolution microscopy techniques such as structured illumination microscopy (SIM), stimulated emission depletion (STED), or photoactivated localization microscopy (PALM) when conventional confocal microscopy cannot resolve closely positioned proteins. These techniques can reduce the resolution limit from ~250 nm to ~20-100 nm.

How should post-translational modifications of YGR122W be analyzed using antibody-based approaches?

Post-translational modifications (PTMs) of YGR122W can significantly impact its function and require specialized analytical approaches:

Use modification-specific antibodies when available. Phospho-specific, acetylation-specific, or ubiquitination-specific antibodies can directly detect these modifications on YGR122W. Always validate specificity using appropriate controls such as phosphatase treatment for phospho-antibodies or deacetylase treatment for acetylation antibodies.

For phosphorylation analysis, implement phospho-protein enrichment techniques prior to immunoprecipitation with YGR122W antibodies. Methods include immobilized metal affinity chromatography (IMAC), titanium dioxide (TiO2) enrichment, or commercial phosphoprotein enrichment kits. These approaches can increase detection sensitivity by orders of magnitude.

Mobility shift assays provide indirect evidence of modifications. Compare the migration of YGR122W under conditions that induce or inhibit specific modifications. For example, phosphorylation often causes decreased mobility on SDS-PAGE (higher apparent molecular weight), while deacetylation or proteolytic processing typically increases mobility.

Mass spectrometry following immunoprecipitation offers the most comprehensive analysis of YGR122W PTMs. Use enrichment strategies specific to the modification of interest combined with high-resolution mass spectrometry. For quantitative analysis, implement stable isotope labeling techniques like SILAC or TMT to compare modification levels across conditions.

When interpreting PTM data, consider stoichiometry—often only a small fraction of the total protein carries a specific modification. Sequential immunoprecipitation (first with YGR122W antibody, then with modification-specific antibody) can help determine the modified proportion of the total protein pool.

What statistical approaches are recommended for analyzing immunoprecipitation mass spectrometry data with YGR122W antibodies?

Robust statistical analysis is essential for interpreting IP-MS data and distinguishing true interacting partners from background:

Implement appropriate experimental replication. A minimum of three biological replicates is required for statistical validity. Include both technical controls (IgG or pre-immune serum IPs) and biological controls (YGR122W knockout strain or cells expressing an unrelated tagged protein).

For label-free quantification, calculate enrichment ratios (YGR122W-IP/control-IP) for each detected protein. True interactors typically show enrichment ratios >2-fold with statistical significance (p < 0.05). Apply multiple testing correction (e.g., Benjamini-Hochberg procedure) to control false discovery rate when testing many proteins simultaneously.

Consider implementing more sophisticated statistical models like SAINT (Significance Analysis of INTeractome) or CompPASS (Comparative Proteomics Analysis Software Suite), which were specifically developed for analyzing protein interaction data and account for the unique characteristics of IP-MS datasets.

For visualization and interpretation, construct interaction networks using tools like Cytoscape or STRING. Apply community detection algorithms to identify functional modules within the network. Perform Gene Ontology enrichment analysis on YGR122W interactors to identify overrepresented biological processes or cellular components.

Finally, validate key interactions using orthogonal methods such as reciprocal co-immunoprecipitation, proximity ligation assay, or yeast two-hybrid. Strong interactors should be detectable across multiple independent techniques.

How can contradictory results with YGR122W antibodies across different experimental systems be reconciled?

Contradictory results across experimental systems require systematic troubleshooting and reconciliation:

First, evaluate antibody parameters across experiments. Different lots, concentrations, incubation times, or storage conditions can significantly impact antibody performance. Standardize these variables or test multiple antibodies targeting different epitopes of YGR122W to confirm results.

Consider system-specific differences in YGR122W expression levels, post-translational modifications, or interaction partners. For instance, stress conditions may alter YGR122W's modification state or subcellular localization, as suggested by research showing that "APAP toxicity occurs long before GSH-depletion, and in systems without metabolic CYP enzymes and formation of NAPQI" .

Examine potential technical variables, including cell lysis methods (chemical versus mechanical), buffer compositions (detergent types/concentrations, salt concentrations), and detection methods (chemiluminescence versus fluorescence). Systematically test these variables to identify those that affect YGR122W detection.

Genetic background effects can be significant in yeast. The same antibody may perform differently in various strain backgrounds due to genetic modifiers affecting YGR122W expression or modification. When possible, use isogenic strains differing only in the variable being tested.

For reconciliation, implement a hierarchical approach where multiple techniques address the same question. For example, if immunofluorescence and subcellular fractionation show different YGR122W localizations, add a third method like proximity labeling to resolve the discrepancy. Confidence increases when results converge across methodologically distinct approaches.

What are the best practices for ensuring reproducibility in quantitative experiments using YGR122W antibodies?

Reproducibility in antibody-based experiments requires attention to several key factors:

Implement comprehensive documentation of all experimental variables, including antibody information (supplier, catalog number, lot number, concentration), sample preparation methods, instrument settings, and analysis parameters. This documentation enables others to precisely reproduce your experimental conditions.

Use automation where possible to reduce operator variability. Automated liquid handling systems for immunoassays and standardized image acquisition settings for microscopy significantly improve reproducibility across experiments and between laboratories.

Implement randomization and blinding strategies to minimize unconscious bias. For multi-condition experiments, randomize sample processing order and blind the analyst to sample identity during quantification whenever possible.

Establish clear criteria for sample and replicate exclusion before beginning experiments. Pre-specified quality control metrics like minimum signal-to-noise ratios or maximum coefficients of variation provide objective criteria for excluding problematic data points.

For quantitative Western blots, include an internal reference curve on each blot by loading a dilution series of a control sample. This allows normalization across blots and enables absolute quantification rather than relative comparisons.

Finally, share detailed protocols through repositories like protocols.io and raw data through appropriate databases to enable complete transparency and reproducibility verification by the broader scientific community.

What future directions are emerging for YGR122W antibody applications in systems biology?

The application of YGR122W antibodies in systems biology research is poised for several exciting advances:

Multi-omics integration represents a frontier where YGR122W antibody-based proteomics data will be integrated with transcriptomics, metabolomics, and genetic interaction networks to build comprehensive models of YGR122W function. This integration will require sophisticated computational approaches but promises to reveal emergent properties not apparent from single-omics studies.

Spatial proteomics using YGR122W antibodies will advance through emerging technologies like multiplexed ion beam imaging (MIBI) or co-detection by indexing (CODEX), which allow simultaneous visualization of dozens of proteins in the same sample. These approaches will reveal spatial relationships between YGR122W and other cellular components at unprecedented resolution.

Temporal dynamics studies will benefit from new biosensor technologies incorporating YGR122W antibody-derived binding domains to monitor protein activation, modification, or degradation in real-time in living cells. These approaches will move beyond static snapshots to reveal the dynamic behavior of YGR122W in response to environmental changes.

Single-cell proteomics with YGR122W antibodies will reveal cell-to-cell variability in expression and modification that is masked in population averages. Technologies like mass cytometry (CyTOF) or single-cell Western blotting are beginning to make such analyses possible.

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