YLR363W-A is a hypothetical protein encoded by the YLR363W-A gene in S. cerevisiae. Key features include:
Localization: GFP-fusion studies show nuclear localization, with relocalization to the nucleolus under DNA damage conditions .
Genetic Interactions: Exhibits a negative genetic interaction with ALB1 (S. cerevisiae protein involved in ribosome biogenesis), as shown by synthetic fitness defects (ε = -0.12426, p = 0.0462) .
| Interaction Partner | Interaction Type | Assay | Score (ε) | p-value |
|---|---|---|---|---|
| ALB1 | Negative Genetic | Synthetic Genetic Array (SGA) | -0.12426 | 0.0462 |
| Vendor | Host Species | Clonality | Applications | Reactivity |
|---|---|---|---|---|
| Cusabio | Rabbit | Polyclonal | ELISA, WB | S. cerevisiae |
| MyBioSource | Rabbit | Polyclonal | ELISA, WB | S. cerevisiae |
Functional Studies: Used to investigate YLR363W-A’s nuclear relocalization during DNA stress .
Technical Utility: Validated for Western blot (WB) and enzyme-linked immunosorbent assay (ELISA) .
Knowledge Gaps: No structural or mechanistic studies of YLR363W-A exist in public databases (e.g., PDB, AbDb) .
While YLR363W-A itself is not directly linked to therapeutic applications, its study contributes to:
Antibody Engineering: Techniques for developing yeast-targeting antibodies (e.g., phage display libraries, bispecific formats) .
High-Throughput Screening: Methods for analyzing genetic interactions in synthetic lethal networks .
Functional Annotation: Proteomic studies to identify binding partners or enzymatic activity.
Structural Analysis: Cryo-EM or crystallography to resolve 3D conformation.
Cross-Reactivity Testing: Assess specificity against homologs in other fungal species.
KEGG: sce:YLR363W-A
STRING: 4932.YLR363W-A
YLR363W-A is a protein of unknown function in Saccharomyces cerevisiae (baker's yeast). It localizes primarily to the nucleus under normal conditions but relocates to the nucleolus during DNA replication stress. This protein has a median abundance of 3,958 ± 1,851 molecules per cell with a half-life of approximately 3.7 hours. It contains a domain of unknown function (DUF2462) and has an isoelectric point of 11.82, suggesting a basic nature . Subcellular localization can be verified using fluorescent protein tagging (GFP/RFP fusion proteins) or immunofluorescence with antibodies against YLR363W-A combined with nuclear markers like DAPI.
YLR363W-A antibodies have several key research applications: (1) Western blot analysis for detection and quantification of the protein in cell extracts, typically using SDS-PAGE separation followed by transfer to membranes; (2) Immunoprecipitation to isolate YLR363W-A and its binding partners to study protein-protein interactions; (3) Immunofluorescence microscopy to visualize the subcellular localization of YLR363W-A, especially its translocation during stress; (4) Chromatin immunoprecipitation (ChIP) assays if the protein has DNA-binding properties; and (5) Flow cytometry for analyzing protein expression levels across cell populations .
For all these applications, anti-YLR363W-A antibodies from rabbit hosts are commercially available as polyclonal antibodies . When performing Western blot for protein localization studies, researchers should implement proper cell fractionation protocols. This involves selective lysis and separation of cellular compartments (nucleus, cytoplasm, nucleolus) using specific buffers, followed by equal protein loading (20-50 μg per lane) from each fraction, and including compartment-specific markers (e.g., histone H3 for nucleus, GAPDH for cytoplasm) as controls .
YLR363W-A participates in stress response mechanisms as evidenced by its relocalization from the nucleus to the nucleolus during DNA replication stress. This translocation can be induced experimentally using hydroxyurea treatment or other replication inhibitors. The protein likely functions in ribosome biogenesis regulation during stress, supported by its interactions with BUD20 (a zinc finger protein required for ribosome assembly) and AIM11 . Metabolic profiling of YLR363W-A deletion strains indicates a role in amino acid homeostasis during stress conditions.
Research methodologies to study this role include stress induction experiments followed by protein localization tracking, transcriptional analysis using RNA-seq, and comparative proteomic approaches to identify altered pathways in deletion mutants. When investigating YLR363W-A's role in stress response, researchers should consider that in transcriptional studies, the gene has been shown to be differentially regulated under various stress conditions. For example, in saline conditions, YLR363W-A showed decreased expression (fold change of -2.04 and -1.46 in different experiments), suggesting its regulation is stress-specific .
Antibody specificity for YLR363W-A is validated through multiple complementary approaches: (1) Genetic validation using knockout/deletion strains where the antibody should show no signal in YLR363W-A knockout cells; (2) Orthogonal validation comparing results from different antibodies targeting separate epitopes of YLR363W-A; (3) Independent detection methods like mass spectrometry to confirm the identity of immunoprecipitated proteins; (4) Cross-reactivity testing against related yeast proteins; (5) Epitope mapping to confirm binding to the intended region; and (6) Functional validation through rescue experiments where antibody-mediated effects should be reversed by overexpression of YLR363W-A protein .
The genetic validation approach is particularly powerful for yeast proteins. CRISPR/Cas9 genome editing technology enables creation of cell lines with the YLR363W-A gene permanently excised. For antibody validation, this provides a potent control - samples with YLR363W-A "knocked out" should show no antibody staining, while wild-type samples should demonstrate recognition of the target . Alternatively, RNA interference (RNAi) can be used to "knock down" or suppress YLR363W-A expression. In this case, antibody reactivity should be reduced in intensity compared to wild type, but not completely abolished .
YLR363W-A protein is detected using several experimental methods: (1) Western blot analysis using SDS-PAGE separation followed by immunoblotting with specific antibodies; (2) Immunofluorescence microscopy using fixed and permeabilized yeast cells with fluorescently labeled antibodies; (3) Flow cytometry for quantitative analysis of protein levels in individual cells; (4) ELISA-based assays for quantitative detection in cell lysates; (5) Proximity ligation assay (PLA) to detect protein-protein interactions involving YLR363W-A in situ; and (6) Mass spectrometry for protein identification and post-translational modification analysis .
Each method requires specific sample preparation protocols optimized for yeast cells and nuclear/nucleolar proteins. For immunofluorescence detection of nucleolar proteins like YLR363W-A during stress response, researchers should be aware that standard protocols might not fully access the dense nucleolar structure. Modified protocols with gentle proteinase treatment have been shown to enhance antibody penetration without destroying antigenicity. According to Musinova et al., this approach is "useful only in specific situations when standard immunocytochemistry does not allow the proper detection of the protein localization" , which applies to tracking YLR363W-A's nucleolar relocalization during stress.
YLR363W-A antibodies can be instrumental in investigating nucleolar stress response through multi-parameter experimental designs. The translocation of YLR363W-A from the nucleus to the nucleolus during replication stress can be monitored using time-lapse microscopy with fluorescently labeled antibodies. Co-immunostaining with nucleolar markers (e.g., fibrillarin or Nop1 in yeast) allows precise spatial tracking. Researchers should implement a stress induction protocol using agents like hydroxyurea (0.2M), MMS (0.02%), or UV irradiation (50-100 J/m²), followed by time-point sampling (0, 15, 30, 60, 120 minutes). Quantitative image analysis using software like ImageJ with the JACoP plugin enables calculation of colocalization coefficients (Pearson's and Mander's). ChIP-seq experiments with YLR363W-A antibodies before and after stress induction can reveal stress-dependent DNA association patterns. Parallel RNA-seq analysis complements protein-level data to establish a comprehensive stress response profile.
For nucleolar detection specifically, researchers must overcome the challenge of antibody accessibility in the dense nucleolar structure. Studies have demonstrated that a short proteinase treatment prior to antibody incubation can dramatically improve detection of nucleolar antigens. As noted by Musinova et al., "antibodies that were bound to abundant antigens at the nucleolar periphery created a mechanical barrier against the further penetration into the inner region of the nucleoli" . This specialized protocol modification is particularly relevant for studying YLR363W-A's stress-induced nucleolar relocalization.
Quantitative analysis of YLR363W-A protein interactions requires advanced techniques beyond basic co-immunoprecipitation. Quantitative SILAC (Stable Isotope Labeling with Amino acids in Cell culture) can be performed in yeast, providing relative quantification of interaction partners. BioID proximity labeling, adapted for yeast using a YLR363W-A-BirA fusion protein, enables identification of proximal proteins in living cells. For measuring interaction kinetics, surface plasmon resonance (SPR) or bio-layer interferometry (BLI) using purified YLR363W-A protein and potential interactors determines association/dissociation constants. FRET (Förster Resonance Energy Transfer) or BRET (Bioluminescence Resonance Energy Transfer) assays in live yeast cells measure dynamic interactions. Interaction data should be validated through reciprocal pull-downs and functional assays. Quantitative data analysis requires statistical modeling incorporating stoichiometry calculations and accounting for cellular compartmentalization effects.
The "Cross-and-Capture" assay represents a particularly valuable approach for studying YLR363W-A interactions. This technique combines "elements of YTH (bait and prey protein fusions, high-throughput format) with a simple and reliable biochemical pulldown assay" . Proteins are chromosomally tagged with different epitopes (6×HIS or 3×VSV tags), allowing sensitive detection of interactions through sequential pulldowns. This method has been successfully employed to detect "high-value interactions" that "have previously escaped detection by other technologies" , making it ideal for investigating interactions of poorly characterized proteins like YLR363W-A.
Post-translational modifications (PTMs) can significantly impact YLR363W-A antibody binding through several mechanisms. Phosphorylation, acetylation, or ubiquitination may alter epitope accessibility by inducing conformational changes or directly masking binding sites. Analysis requires a combined approach: First, identify PTMs using mass spectrometry-based phosphoproteomics or acetylomics workflows. Then, systematically generate modified and unmodified YLR363W-A versions through in vitro enzymatic treatments or site-directed mutagenesis of modification sites (substituting phosphorylated serines/threonines with alanine or phosphomimetic glutamic acid). Antibody binding efficiency can be quantitatively assessed using ELISA or surface plasmon resonance across different modification states. For complete characterization, researchers should develop modification-specific antibodies that selectively recognize phosphorylated, acetylated, or other modified forms of YLR363W-A. This enables tracking of modification dynamics during stress responses or cell cycle progression using immunoblotting or immunofluorescence approaches with modification-specific versus pan-YLR363W-A antibodies.
Database analyses already indicate that YLR363W-A contains four post-translational modification sites , though the specific types of modifications remain to be fully characterized. Researchers interested in studying these modifications should implement yeast biopanning approaches for screening antibodies with high specificity to modified epitopes. As described by Arbaciauskaite et al., this method involves "steps for screening a yeast surface display library for antibodies and other binders" followed by "procedures for validating the antibodies found by analyzing their specificity through whole-well image analysis" .
Developing antibodies against proteins with domains of unknown function (DUFs) like DUF2462 in YLR363W-A presents unique challenges requiring specialized strategies. The absence of structural and functional information makes epitope selection difficult. Researchers should implement a multi-pronged approach: (1) Computational analysis using tools like I-TASSER or AlphaFold2 to predict structural features of DUF2462; (2) Epitope mapping combining in silico prediction (BepiPred-2.0, DiscoTope) with experimental peptide arrays to identify accessible, immunogenic regions; (3) Cross-species conservation analysis of DUF2462 to identify regions unique to YLR363W-A versus conserved motifs; (4) Development of both monoclonal and polyclonal antibodies against different regions, including both DUF2462 and non-DUF regions; (5) Extensive validation using knockout controls and recombinant protein fragments . Researchers should anticipate conformational epitope challenges by including native-condition immunization strategies alongside denatured protein approaches. The unknown function necessitates parallel functional studies correlating antibody binding with emerging functional data to refine epitope targeting in subsequent antibody development iterations.
Advanced antibody generation technologies can help overcome these challenges. The Autonomous Hypermutation yEast surfAce Display (AHEAD) system pairs "orthogonal DNA replication (OrthoRep) with yeast surface display (YSD) to achieve a system for the rapid evolution of antibodies" . This approach allows continuous hypermutation of antibody genes, enabling exploration of a vast sequence space to find rare, high-affinity binders against challenging epitopes. For DUF2462-containing proteins like YLR363W-A, this may produce antibodies with superior specificity compared to traditional immunization methods.
Multiplexed approaches for studying YLR363W-A in stress response contexts leverage advanced technologies to capture system-wide changes. Mass cytometry (CyTOF) with metal-tagged antibodies against YLR363W-A and 30-40 stress response proteins can profile single-cell responses across populations. Hyperplexed immunofluorescence using cyclic immunofluorescence (CyCIF) or CO-Detection by indEXing (CODEX) enables spatial mapping of YLR363W-A relative to multiple stress markers in fixed cells. RNA-protein correlation studies combining single-molecule FISH for YLR363W-A mRNA with antibody detection of the protein measure transcription-translation dynamics during stress. Microfluidic systems creating controlled stress gradients while monitoring multiple parameters reveal response thresholds. Data integration requires computational approaches including trajectory inference algorithms to map temporal progression of stress responses, and network analysis tools to position YLR363W-A within stress response pathways. These multiplexed methods should incorporate appropriate controls and statistical frameworks for addressing batch effects and quantification challenges inherent to multi-parameter datasets.
For validation in multiplexed studies, orthogonal approaches are essential. This involves cross-referencing antibody-based results with data obtained using non-antibody methods like RNA-seq or mass spectrometry. As noted by Cell Signaling Technology, "an orthogonal strategy dictates that results obtained in the other hallmarks require corroboration by non-antibody-based detection methods" . For YLR363W-A, researchers should verify antibody detection patterns against transcriptomic data from resources like ProteomicsDB or NCBI Gene, while acknowledging that "there can be challenges with interpretation of the data, for example if levels of RNA don't correlate with levels of protein" .
Based on research findings, the following properties of YLR363W-A have been established:
| Property | Value |
|---|---|
| Subcellular Localization (Normal) | Nucleus |
| Subcellular Localization (Stress) | Nucleolus (during DNA replication stress) |
| Molecular Abundance | 3,958 ± 1,851 molecules/cell |
| Half-life | 3.7 hours |
| Isoelectric Point | 11.82 |
| Known Domains | Domain of Unknown Function (DUF2462) |
| Key Interactions | BUD20, AIM11 |
| Functional Role | Stress response, possible role in amino acid homeostasis |
The following methodologies are commonly employed in YLR363W-A antibody research:
| Application | Basic Methodologies | Advanced Methodologies |
|---|---|---|
| Protein Detection | Western Blot, ELISA | Mass Spectrometry, Flow Cytometry |
| Localization Studies | Immunofluorescence, GFP Tagging | Live-cell Imaging, Super-resolution Microscopy |
| Protein-Protein Interactions | Co-Immunoprecipitation | BioID, FRET/BRET, Cross-and-Capture Assays |
| Stress Response Analysis | Stress Induction + Western Blot | Time-lapse Microscopy, ChIP-seq + RNA-seq |
| Post-translational Modifications | Phospho-specific Antibodies | MS-based PTM Profiling, Site-directed Mutagenesis |
| Quantitative Analysis | Densitometry | SILAC, Absolute Quantification (AQUA) |