The YLR154C-G Antibody (product code CSB-PA666889XA01SVG) is a polyclonal antibody produced for studying the hypothetical protein YLR154C-G in Saccharomyces cerevisiae. It is commercially available in 2 mL or 0.1 mL volumes, with UniProt accession Q3E813 . This antibody is primarily used in molecular biology to detect and analyze the expression, localization, and interactions of its target protein.
The YLR154C-G gene is located within the ribosomal DNA (rDNA) region of chromosome XII in S. cerevisiae strain S288c. Key features include:
Genomic coordinates: Contained within the RDN25-2 and RDN37-2 ribosomal RNA operons .
Protein properties:
Interactions: BioGRID reports 52 protein-protein interactions for YLR154C-G, predominantly with ribosomal proteins (e.g., RPL7A, RPL43A) and RNA polymerase subunits .
Expression: Transcriptomic data suggest low expression under standard growth conditions, consistent with its classification as a non-essential gene .
Hypothetical roles based on genomic context:
Potential involvement in ribosomal RNA processing or chromatin organization due to its rDNA locus .
Interactions with translation-related proteins hint at a regulatory or structural role in ribosome biogenesis .
Knowledge gaps: The absence of functional studies limits mechanistic understanding of YLR154C-G.
Recommended research:
Knockout studies to assess phenotypic impacts.
Localization assays (e.g., immunofluorescence) to determine subcellular distribution.
Interaction validation using co-immunoprecipitation paired with mass spectrometry.
Cusabio. (2025). YLR154C-G Antibody. Retrieved from Cusabio
SGD. (2006). YLR154C-G Overview. Saccharomyces Genome Database.
BioGRID. (2015). YLR154C-G Interaction Network. The Biological General Repository for Interaction Datasets.
YLR154C-G is a putative protein of unknown function in the yeast Saccharomyces cerevisiae. It was identified through fungal homology comparisons and confirmed by RT-PCR techniques . The gene is located within ribosomal DNA regions RDN25-2 and RDN37-2, suggesting potential involvement in ribosomal functions . Despite limited characterization, its genomic context makes it potentially significant for understanding fundamental cellular processes, particularly those related to ribosome biogenesis and RNA metabolism. Antibodies against this protein are valuable tools for investigating its expression patterns, localization, interactions, and potential roles in stress responses or ribosomal RNA synthesis.
YLR154C-G has no assigned Gene Ontology (GO) Process, Function, or Component annotations , indicating its precise biological role remains uncharacterized. The BioGRID database reports 52 potential protein interactors and evidence for at least one post-translational modification site . These characteristics have several implications for antibody development:
| Property | Implication for Antibody Development |
|---|---|
| Unknown structure | Antibodies must target predicted epitopes based on sequence analysis |
| Potential PTMs | Antibodies may recognize modified and unmodified forms differently |
| Multiple interactors | Antibody accessibility may be affected by protein complexes |
| rDNA localization | Antibodies for ChIP applications must function in chromatin context |
When developing antibodies against poorly characterized proteins like YLR154C-G, researchers must rely on sequence-based epitope prediction and extensive validation to ensure specificity and functionality across multiple applications.
YLR154C-G's genomic location within ribosomal DNA regions suggests potential involvement in rRNA synthesis or processing. Research has shown that environmental stresses, particularly nitrogen deprivation, can induce polymerase switching in rRNA transcription, with heat shock factors like HSF1 playing regulatory roles . Antibodies against YLR154C-G would be valuable for investigating whether this protein participates in these regulatory networks through techniques such as:
Chromatin immunoprecipitation (ChIP) to detect associations with ribosomal DNA regions
Co-immunoprecipitation to identify interactions with known rRNA synthesis factors
Immunofluorescence to visualize subcellular localization during stress responses
For these applications, antibodies must maintain specificity under the crosslinking conditions used in ChIP protocols, which typically involve formaldehyde treatment (1%) and may include additional crosslinkers like dimethyl adipimate (10mM) for protein-protein interactions .
Validating YLR154C-G antibodies requires demonstrating specificity, selectivity, and reproducibility for each intended application . The FDA defines validation as "the process of demonstrating, through the use of specific laboratory investigations, that the performance characteristics of an analytical method are suitable for its intended analytical use" . A comprehensive validation strategy should include:
| Validation Step | Methodology | Expected Outcome |
|---|---|---|
| Western Blot | Test against wild-type and knockout lysates | Single band at expected MW in wild-type only |
| Immunoprecipitation | IP followed by Western blot or mass spectrometry | Enrichment of YLR154C-G and known interactors |
| Negative Controls | Test on YLR154C-G knockout strains | No signal detected |
| Positive Controls | Test on strains overexpressing YLR154C-G | Enhanced signal proportional to expression |
| Cross-reactivity | Test against related yeast proteins | No detection of non-target proteins |
| Application-specific validation | Validate separately for each technique | Consistent results across applications |
| Reproducibility | Test across different lots and experimental days | Coefficient of variation <15% |
This multi-parameter approach ensures that antibodies will perform reliably in their intended research applications, following best practices for antibody validation in scientific research .
ChIP experiments require antibodies that maintain specificity under crosslinking conditions and can access epitopes in chromatin contexts. To validate YLR154C-G antibodies specifically for ChIP applications:
Perform control ChIP experiments using:
Evaluate enrichment at specific genomic loci:
Assess antibody performance under crosslinking:
This validation approach ensures that ChIP results with YLR154C-G antibodies accurately reflect the protein's genomic associations rather than non-specific binding artifacts.
Proper controls are critical for antibody validation and experimental interpretation. For YLR154C-G antibodies, essential controls include:
| Control Type | Implementation | Rationale |
|---|---|---|
| Genetic negative control | YLR154C-G knockout strain | Demonstrates absolute specificity |
| Epitope competition | Pre-incubation with immunizing peptide | Verifies epitope-specific binding |
| Loading/processing control | Housekeeping protein detection | Normalizes for sample preparation variations |
| Secondary antibody control | Omission of primary antibody | Identifies non-specific secondary binding |
| Isotype control | Non-specific antibody of same isotype | Detects Fc-receptor mediated binding |
| Positive expression control | Strain with confirmed expression | Validates detection of endogenous protein |
| Overexpression control | YLR154C-G overexpression strain | Confirms signal increases with expression |
| Orthogonal validation | Tagged YLR154C-G detection | Compares antibody results with tag detection |
The most stringent negative controls are knockout cell lines or tissues known not to express the protein of interest . For positive controls, cells transfected with the protein provide the best validation, though this may be technically challenging for yeast proteins .
ChIP protocols for YLR154C-G studies must be carefully optimized to ensure efficient crosslinking, chromatin fragmentation, and immunoprecipitation. Based on established protocols for yeast ChIP:
Crosslinking optimization:
Cell lysis and chromatin fragmentation:
Immunoprecipitation:
Analysis:
This optimized protocol accounts for the unique challenges of working with yeast proteins in chromatin contexts.
Western blot analysis with YLR154C-G antibodies requires attention to several critical parameters:
Sample preparation:
Controls:
Blotting conditions:
Optimize transfer conditions for the expected molecular weight
Use PVDF membranes for greater protein binding capacity
Verify transfer efficiency with reversible staining
Antibody dilution and incubation:
Titrate primary antibody to determine optimal concentration
Extend primary antibody incubation time (overnight at 4°C)
Use gentle agitation to ensure uniform antibody distribution
Detection:
Choose detection method based on expected abundance (chemiluminescence for low abundance)
Ensure signal is within linear range for quantification
Use digital imaging systems for accurate quantification
The first validation step for antibodies is often Western blot, which should produce a single band at the expected molecular weight for YLR154C-G . Multiple bands may indicate post-translational modifications or non-specific binding.
Immunofluorescence in yeast cells presents unique challenges due to the cell wall and small cell size, but can be optimized for YLR154C-G detection:
Sample preparation:
Antigen retrieval:
Controls:
Include YLR154C-G knockout strain as negative control
Use GFP-tagged YLR154C-G strain as positive control and for co-localization
Include secondary antibody-only controls to assess background
Imaging:
Use confocal microscopy for detailed subcellular localization
Include nuclear counterstain (DAPI) for structural reference
Employ deconvolution to enhance resolution
Quantification:
Standardize image acquisition parameters
Use software-based intensity measurement
Analyze multiple cells (>100) for statistical significance
Variable fixation times, inadequate fixation periods, and differences in fixative composition can all affect tissue antigenicity and thereby influence immunofluorescence results .
Non-specific binding is a common challenge with antibodies against poorly characterized proteins like YLR154C-G:
It's important to note that blocking peptides, which have been used with some antibodies, have been found not to be selective upon more stringent validation . Therefore, they should not typically be relied upon for demonstrating specificity.
When different antibodies against YLR154C-G yield inconsistent results, systematic investigation is necessary:
Epitope comparison:
Determine epitope locations for each antibody
Assess whether epitopes may be masked in certain conditions
Consider whether different epitopes might reflect different protein states
Validation status assessment:
Orthogonal method comparison:
Use tagged versions of YLR154C-G as reference points
Compare antibody results with mass spectrometry data
Correlate protein detection with mRNA expression patterns
Standardized comparison:
Our lab has published examples of this type of evaluation, demonstrating the importance of reproducibility testing with different antibody lots on different days . Similar work has been done for other proteins, establishing protocols for comparing antibody performance across various applications.
To assess whether antibodies recognize post-translationally modified YLR154C-G:
Database analysis:
Western blot analysis:
Look for multiple bands or mobility shifts
Compare patterns with and without phosphatase treatment
Use Phos-tag gels to enhance separation of phosphorylated forms
Two-dimensional gel electrophoresis:
Separate proteins by both molecular weight and isoelectric point
Identify spots corresponding to different YLR154C-G forms
Compare patterns across different growth conditions
Mass spectrometry:
Immunoprecipitate YLR154C-G from different conditions
Analyze by mass spectrometry to identify modifications
Correlate modifications with antibody recognition patterns
Mutational analysis:
Create YLR154C-G variants with mutations at potential modification sites
Compare antibody recognition between wild-type and mutant proteins
Identify epitopes affected by specific modifications
Understanding whether antibodies detect modified forms is particularly important for proteins involved in stress responses, as post-translational modifications often regulate protein activity and localization during environmental adaptation.
Multiplexed detection allows simultaneous visualization of YLR154C-G alongside other proteins, providing contextual information about its function and regulation:
Multiplex immunofluorescence:
Combine YLR154C-G antibodies with antibodies against known ribosomal proteins
Use spectrally distinct fluorophores for each target
Employ sequential staining protocols to minimize cross-reactivity
Mass cytometry (CyTOF):
Label antibodies with distinct metal isotopes
Analyze single cells for multiple protein markers
Correlate YLR154C-G expression with cellular states
Co-immunoprecipitation with multiplexed readout:
Pull down YLR154C-G and identify interacting partners
Use mass spectrometry to characterize protein complexes
Compare interaction networks across different conditions
Microscopy-based proteomics:
Combine immunofluorescence with proximity ligation assays
Visualize and quantify specific protein-protein interactions
Map the spatial organization of YLR154C-G interactome
These approaches require highly specific antibodies with minimal cross-reactivity, and often benefit from monoclonal antibodies developed using hybridoma technology .
Developing monoclonal antibodies against YLR154C-G requires careful planning:
Immunogen design:
Use recombinant YLR154C-G protein or synthetic peptides
Select immunogenic regions unique to YLR154C-G
Consider conjugation to carrier proteins for small peptides
Hybridoma development:
Screening strategy:
Production and purification:
Validation:
Test specificity against recombinant protein and cell lysates
Verify functionality in multiple applications
Assess cross-reactivity with related yeast proteins
Monoclonal antibodies offer advantages of consistency and specificity but recognize only a single epitope, while polyclonal antibodies recognize multiple epitopes and might be more robust to protein denaturation or fixation .