A genome-wide CRISPR screening study identified YNL146W as a critical gene for improving furfural tolerance in yeast strains. When combined with SIZ1i (a gene knockdown variant), YNL146W overexpression significantly enhanced yeast survival under furfural stress, a common inhibitor in biofuel production . Key observations:
Synergistic Interaction: YNL146W alone did not improve furfural tolerance but showed dependency on SIZ1i for functional enhancement .
Mechanistic Insight: The study suggests YNL146W may regulate stress-response pathways or detoxification mechanisms, though exact molecular interactions remain under investigation .
The YNL146W antibody enables:
Functional Genomics: Mapping protein localization and expression dynamics under stress conditions.
Industrial Strain Engineering: Identifying targets for engineering robust yeast strains in bioethanol production .
While the antibody has proven utility in basic research, further studies are needed to:
KEGG: sce:YNL146W
STRING: 4932.YNL146W
YNL146W is a hypothetical protein-coding gene found in Saccharomyces cerevisiae S288C (baker's yeast), corresponding to Entrez Gene ID 855576. This gene encodes a protein with UniProt Number P53906, which remains largely uncharacterized but is of interest in fundamental yeast cellular biology research. Studying this protein helps elucidate basic cellular mechanisms in yeast, which often have conserved analogues in higher eukaryotes. Antibodies against this protein serve as important research tools for detecting, quantifying, and isolating this protein in experimental systems .
The most commonly used YNL146W antibody is a rabbit polyclonal antibody purified using Protein A/G affinity chromatography. It is typically supplied unconjugated, allowing researchers flexibility in experimental design. The antibody is raised against a recombinant immunogen derived from Saccharomyces cerevisiae (strain ATCC 204508/S288c) YNL146W protein. Its IgG isotype and species reactivity specific to yeast make it suitable for specialized yeast research applications .
Current research indicates that YNL146W antibody has been validated for two primary applications:
Enzyme-Linked Immunosorbent Assay (ELISA): For quantitative detection of YNL146W protein in yeast lysates
Western Blotting (WB): For semi-quantitative detection of the target protein in denatured samples
These applications have been empirically validated through quality control testing by suppliers. Other potential applications may include immunoprecipitation and immunocytochemistry, though these would require additional validation by individual researchers .
YNL146W antibody requires specific storage conditions to maintain its binding efficacy and specificity. The antibody should be stored at either -20°C or -80°C for long-term stability. For shipping purposes, suppliers typically use blue ice to maintain appropriate temperature. When working with the antibody, researchers should:
Avoid repeated freeze-thaw cycles (aliquot upon first thaw)
Use sterile technique when handling
Centrifuge briefly before opening vials to collect material that may have adhered to the cap or sides
Keep on ice during experimental procedures
Return to recommended storage conditions immediately after use
Prior to employing YNL146W antibody in key experiments, thorough validation is essential to ensure specificity and sensitivity. A comprehensive validation approach should include:
Positive control testing using the supplied recombinant immunogen protein (200μg typically provided)
Negative control testing using the pre-immune serum (1ml typically provided)
Concentration gradient testing to determine optimal antibody dilution for your specific application
Cross-reactivity assessment with related yeast proteins
If possible, validation using a YNL146W knockout strain as a negative control
These validation steps are critical for confirming that experimental results reflect true YNL146W detection rather than non-specific binding or background signal .
For optimal results in Western blot applications with YNL146W antibody, researchers should consider the following protocol optimizations:
| Parameter | Recommended Condition | Notes |
|---|---|---|
| Sample preparation | Complete lysis in RIPA or similar buffer | Include protease inhibitors |
| Protein amount | 20-50μg total protein | May require optimization |
| Gel percentage | 10-12% SDS-PAGE | Based on expected MW |
| Transfer method | Wet transfer | 100V for 1 hour or 30V overnight |
| Blocking solution | 5% non-fat milk in TBST | BSA may be substituted |
| Primary antibody dilution | 1:500 to 1:2000 | Optimize for your specific lot |
| Incubation | Overnight at 4°C | With gentle agitation |
| Secondary antibody | Anti-rabbit HRP | 1:5000 dilution typical |
| Detection method | ECL substrate | Sensitivity may be adjusted |
As with all polyclonal antibodies, batch-to-batch variation may necessitate dilution optimization for each new lot received .
The polyclonal nature of commercially available YNL146W antibodies has significant implications for experimental design and data interpretation:
Multiple epitope recognition: Polyclonal antibodies recognize multiple epitopes on the target protein, potentially increasing sensitivity but also raising the possibility of cross-reactivity.
Lot-to-lot variability: Different production lots may have variations in the exact epitope recognition patterns, necessitating consistent use of the same lot for comparative studies.
Signal amplification: Recognition of multiple epitopes can enhance signal strength, making polyclonal antibodies advantageous for detecting low-abundance proteins.
Background considerations: More stringent blocking and washing steps may be required compared to monoclonal antibodies due to the potentially broader binding profile.
Reproducibility challenges: The heterogeneous nature of polyclonal antibodies may impact reproducibility between different batches or suppliers.
Researchers should account for these characteristics when designing experiments and consider including appropriate controls to address potential variability .
When encountering weak signal or high background issues with YNL146W antibody, systematic troubleshooting is essential:
For weak signal:
Increase antibody concentration (within reasonable limits)
Extend incubation time at 4°C
Increase protein loading on gel/blot
Use enhanced sensitivity detection reagents
Ensure protein of interest is not degraded in samples
Verify transfer efficiency with reversible staining
Check expression levels of target protein in your specific strain
For high background:
Increase blocking time and concentration
Add 0.1-0.5% Tween-20 to washing buffer
Increase number and duration of washes
Decrease antibody concentration
Use pre-adsorbed secondary antibodies
Include 0.1-1% BSA in antibody diluent
Pre-incubate membrane with pre-immune serum supplied with the antibody
Rigorous experimental design requires appropriate controls to ensure valid interpretation of results:
Positive control: Use of supplied recombinant immunogen protein (200μg)
Negative control: Pre-immune serum application to identical samples
Loading control: Detection of housekeeping protein (e.g., actin) for normalization
Blocking peptide control: Pre-incubation of antibody with excess antigen to confirm specificity
Strain controls: Comparing wild-type to YNL146W deletion strains when available
Secondary antibody-only control: To identify non-specific binding of secondary antibody
These controls should be systematically incorporated into experimental designs to confirm specificity and validate observations made with YNL146W antibody .
Co-immunoprecipitation (Co-IP) using YNL146W antibody can reveal protein-protein interactions involving this hypothetical yeast protein. While not explicitly validated for this application by suppliers, researchers can adapt the following methodology:
Cell lysis: Use gentle, non-denaturing lysis buffers (e.g., 20mM Tris-HCl pH 7.5, 150mM NaCl, 1mM EDTA, 1% NP-40) with protease/phosphatase inhibitors.
Pre-clearing: Incubate lysates with protein A/G beads and pre-immune serum to reduce non-specific binding.
Immunoprecipitation: Incubate pre-cleared lysate with YNL146W antibody (typically 2-5μg per mg of protein) overnight at 4°C.
Capture: Add protein A/G beads and incubate for 2-4 hours at 4°C with gentle rotation.
Washing: Perform 4-6 stringent washes with lysis buffer to remove non-specific interactions.
Elution and analysis: Elute with SDS sample buffer and analyze by Western blot for both YNL146W and potential interacting proteins.
Controls: Include IgG control, input samples, and when possible, YNL146W knockout strains as negative controls.
This approach can help identify novel protein interactions and functional roles for the largely uncharacterized YNL146W protein in yeast cellular processes .
Several advanced techniques could potentially expand the utility of YNL146W antibody in yeast research:
Proximity Labeling: Adapting techniques like BioID or APEX2 by fusing these enzymes to anti-YNL146W scFvs could help identify proximal proteins in the native cellular context.
Super-Resolution Microscopy: Combining YNL146W antibody with fluorophore-conjugated secondary antibodies optimized for techniques like STORM or PALM could provide detailed subcellular localization information.
Antibody Engineering: Developing recombinant antibody fragments (Fab, scFv) against YNL146W could improve tissue penetration and reduce background in imaging applications.
Multiplexed Detection: Integration of YNL146W antibody into multiplexed detection systems using oligonucleotide-conjugated antibodies and next-generation sequencing could enable simultaneous detection of multiple proteins.
Single-Cell Applications: Adapting YNL146W antibody for use in single-cell proteomics approaches could reveal cell-to-cell variation in YNL146W expression and function.
These emerging approaches represent the future direction of research utilizing YNL146W antibody, potentially yielding deeper insights into its cellular functions .
Traditional polyclonal antibodies against YNL146W can be contrasted with newer technologies for protein detection and analysis:
| Technology | Advantages | Limitations | Suitability for YNL146W Research |
|---|---|---|---|
| Polyclonal antibodies | Multiple epitope recognition, robust signal, well-established protocols | Lot-to-lot variability, potential cross-reactivity | Currently the standard approach |
| Monoclonal antibodies | High specificity, consistent supply, reduced background | Limited epitope recognition, potentially lower sensitivity, not widely available for YNL146W | Not currently commercially available |
| Nanobodies | Small size (15kDa), stable, tissue penetration | Limited commercial availability, higher cost | Potential future development opportunity |
| CRISPR epitope tagging | Native expression levels, tag consistency | Requires genetic manipulation, potential functional interference | Alternative approach when antibody specificity is concerning |
| AI-generated antibodies | Potentially improved specificity, reduced immunization need | Emerging technology, limited validation | Future possibility as technology matures |
Recent advances in antibody design using computational approaches and protein large language models (such as MAGE) may eventually lead to the development of more specific antibodies against YNL146W, potentially addressing some of the limitations of current polyclonal versions .
When selecting the optimal YNL146W antibody for specific research applications, consider these critical factors:
Validated applications: Ensure the antibody has been validated for your intended application (ELISA, WB, etc.).
Species compatibility: Confirm reactivity with your specific yeast strain, as strain variations may affect epitope recognition.
Antibody format: Consider whether unconjugated antibody meets your needs or if direct conjugates would be advantageous.
Sensitivity requirements: Assess whether the detection limit of the antibody meets the expected expression level of YNL146W in your experimental system.
Supporting validation data: Review available data on specificity, including Western blot images showing a single band at the expected molecular weight.
Lot consistency: For longitudinal studies, consider suppliers that provide information on lot-to-lot consistency or offer large lot reservations.
Controls provided: Evaluate whether the antibody comes with appropriate controls (pre-immune serum, recombinant antigen).
Technical support: Consider the level of technical support and documentation provided by the supplier.
Thoughtful evaluation of these factors will help ensure selection of the most appropriate YNL146W antibody for specific research needs .