YJR128W Antibody

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Description

Definition and Target Identification

YJR128W Antibody (Product Code: CSB-PA343262XA01SVG) is a polyclonal antibody designed to detect the protein encoded by the YJR128W gene in yeast. This gene corresponds to UniProt ID P47162, though its precise biological function remains uncharacterized in the provided datasets .

Target Protein Characterization

The YJR128W protein is annotated in yeast genomic databases but lacks detailed functional studies. Key features include:

PropertyDetails
GeneYJR128W
UniProt IDP47162
SpeciesSaccharomyces cerevisiae (strain ATCC 204508 / S288c)
Molecular WeightNot specified in available sources
Cellular RoleHypothetical protein; potential involvement in cellular processes

Research Applications

While direct studies on YJR128W Antibody are absent in the reviewed literature, its potential uses align with standard antibody applications in yeast biology :

  • Western Blot (WB): Detect YJR128W protein expression under varying conditions.

  • Immunoprecipitation (IP): Isolate the protein for interaction studies.

  • Localization Studies: Immunofluorescence to map subcellular distribution.

Validation and Quality Considerations

Recent studies highlight widespread issues with antibody reliability. For example, ~12 publications per protein target included data from non-functional antibodies . While YJR128W Antibody’s performance is untested here, best practices recommend:

  • Using knockout (KO) yeast strains as controls .

  • Cross-verifying results with orthogonal methods (e.g., mass spectrometry).

Future Directions

  • Functional Characterization: Link YJR128W to metabolic pathways or stress responses.

  • Structural Studies: Resolve 3D architecture using cryo-EM or crystallography.

  • Proteome-Scale Validation: Apply high-throughput platforms like nanovials to assess secretion efficiency.

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Composition: 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
YJR128W antibody; J2059 antibody; Uncharacterized protein YJR128W antibody
Target Names
YJR128W
Uniprot No.

Q&A

What is YJR128W and why is it studied in yeast research?

YJR128W (UniProt: P47162) is a protein encoded by the YJR128W gene in Saccharomyces cerevisiae. This protein is studied in yeast research as part of understanding fundamental cellular processes in eukaryotic cells. When designing experiments with YJR128W antibodies, researchers should first clearly define their research questions and determine which aspects of the protein they aim to investigate, such as expression levels, localization, or interactions with other proteins. This planning step is critical as it informs the selection of appropriate antibody-based techniques and necessary controls .

What types of YJR128W antibodies are available for research?

YJR128W antibodies are available in several formats that researchers can select based on their experimental needs:

Antibody TypeAdvantagesRecommended ApplicationsValidation Requirements
MonoclonalHigh specificity, batch consistencyWestern blot, immunoprecipitationTarget-specific knockout controls
PolyclonalMultiple epitope recognition, strong signalImmunofluorescence, ELISAPeptide competition assays
RecombinantDefined sequence, renewable, consistentAll applications, especially quantitative assaysTesting across multiple applications

Recombinant antibodies typically demonstrate superior performance across multiple assays compared to both monoclonal and polyclonal alternatives, which is particularly important for reproducible yeast protein research .

How should I select the most appropriate YJR128W antibody for my research?

When selecting a YJR128W antibody, evaluate the following criteria:

  • Validation data: Look for antibodies that have been validated in knockout (KO) cell lines, as these provide the most stringent specificity controls .

  • Application compatibility: Ensure the antibody has been validated for your specific application (Western blot, immunofluorescence, etc.).

  • Target recognition: Consider whether you need an antibody that recognizes a specific domain or post-translational modification.

  • Literature precedent: Check if the antibody has been successfully used in published studies.

  • Vendor characterization: Review vendor-provided characterization data and whether they use standardized protocols .

Remember that an antibody performing well in one assay does not guarantee success in another; comprehensive validation for each specific application is essential .

What controls are essential when using YJR128W antibodies in Western blot experiments?

Proper controls are critical for ensuring valid and reproducible results with YJR128W antibodies:

  • Positive control: Use of purified YJR128W protein or extracts from cells known to express the protein.

  • Negative control: The gold standard is using extracts from YJR128W knockout yeast strains, as these have proven superior to other control types for Western blot experiments .

  • Loading control: Include antibodies against housekeeping proteins (e.g., actin) to confirm equal protein loading.

  • Primary antibody omission: Process samples without primary antibody to verify secondary antibody specificity.

  • Peptide competition: Pre-incubate the antibody with the immunizing peptide to demonstrate binding specificity.

Research has shown that using knockout cell lines as negative controls is particularly important, as approximately 12 publications per protein target contain data from antibodies that failed to recognize their intended targets .

How should YJR128W antibodies be validated for immunofluorescence microscopy?

Validating YJR128W antibodies for immunofluorescence requires:

  • Knockout validation: Using YJR128W knockout yeast strains is especially crucial for immunofluorescence, where the YCharOS group found this control to be even more important than for Western blot applications .

  • Expression systems: Compare staining patterns in cells with endogenous versus overexpressed YJR128W.

  • Co-localization studies: Confirm expected subcellular localization using organelle markers.

  • Signal specificity test: Pre-absorb antibodies with immunizing peptides to demonstrate signal specificity.

  • Multiple antibody validation: Use two different antibodies targeting distinct epitopes to confirm localization patterns.

Researchers should report antibody concentrations in protein units rather than dilution factors, as dilution is ambiguous and complicates experimental reproducibility .

What is the recommended protocol for immunoprecipitation experiments using YJR128W antibodies?

For optimal immunoprecipitation of YJR128W:

  • Pre-clear lysates: Remove proteins that bind non-specifically to beads.

  • Antibody binding: Incubate clarified lysate with YJR128W antibody at 4°C overnight using optimized protein concentration (not just dilution ratio) .

  • Capture complex: Add protein A/G beads for 1-2 hours at 4°C.

  • Stringent washing: Perform multiple washes to remove non-specific interactions.

  • Elution and analysis: Elute with SDS sample buffer and analyze by Western blot.

  • Controls: Include an isotype control antibody and, ideally, lysate from YJR128W knockout yeast .

Standardized protocols developed through consensus between academic researchers and antibody manufacturers are available and should be consulted for detailed methodology .

How can YJR128W antibodies be used in protein-protein interaction studies?

For investigating YJR128W protein interactions:

  • Co-immunoprecipitation (Co-IP): Use YJR128W antibodies to pull down the protein complex, then probe for suspected interacting partners.

  • Proximity ligation assay (PLA): Combine YJR128W antibodies with antibodies against potential interactors to visualize interactions in situ.

  • ChIP-seq approach: If YJR128W has DNA-binding properties, use these antibodies for chromatin immunoprecipitation followed by sequencing.

  • RIME (Rapid Immunoprecipitation Mass spectrometry of Endogenous proteins): Combine immunoprecipitation with mass spectrometry for unbiased interaction screening.

For all interaction studies, stringent validation using YJR128W knockout controls is essential to ensure specificity of detected interactions .

What considerations are important when using YJR128W antibodies in quantitative assays?

For quantitative applications with YJR128W antibodies:

  • Establish a standard curve: Use purified recombinant YJR128W protein.

  • Determine linear dynamic range: Test sample dilutions to ensure measurements fall within the linear range.

  • Validate antibody specificity: Confirm signal absence in YJR128W knockout samples .

  • Assess batch-to-batch consistency: Test multiple lots if available, especially for polyclonal antibodies.

  • Consider recombinant antibodies: These typically provide more consistent results across batches than monoclonal or polyclonal antibodies .

  • Report detailed methodology: Include antibody concentration (μg/ml), incubation conditions, and complete protocol details to enhance reproducibility .

How should researchers approach contradictory results obtained with different YJR128W antibodies?

When faced with contradictory results:

  • Review antibody validation data: Check if both antibodies were properly validated with knockout controls .

  • Compare epitopes: Determine if the antibodies recognize different regions of YJR128W, which might explain differential results.

  • Test specificity in your experimental system: Perform side-by-side validation using knockout controls.

  • Consider protein modifications: Post-translational modifications might affect antibody recognition.

  • Evaluate experimental conditions: Different buffer compositions, fixation methods, or incubation times can impact antibody performance.

The YCharOS group found significant variability in antibody performance, with approximately 50-75% of proteins having at least one high-performing commercial antibody, depending on the application . Consider consulting repositories like YCharOS for independent validation data on similar antibodies.

What are common pitfalls when working with YJR128W antibodies and how can they be avoided?

Common challenges include:

  • Non-specific binding: Always validate with YJR128W knockout controls, which have been shown to be superior to other control types .

  • Batch variability: Document lot numbers and maintain reference samples for comparisons between experiments.

  • Over-dilution/concentration: Optimize antibody concentration for each application and report in µg/ml rather than dilution factors .

  • Inappropriate storage: Follow manufacturer recommendations for temperature, aliquoting, and avoid freeze-thaw cycles.

  • Insufficient blocking: Optimize blocking conditions to minimize background.

It's estimated that approximately 50% of commercial antibodies fail to meet basic characterization standards, resulting in substantial financial losses and questionable research results . Thorough validation before experimental use is therefore essential.

How should researchers report YJR128W antibody usage in publications?

Publications should include:

  • Complete antibody identification: Manufacturer, catalog number, RRID (Research Resource Identifier), and lot number if available .

  • Validation methods: Describe how specificity was confirmed (e.g., knockout controls, peptide competition).

  • Detailed protocols: Include antibody concentration (μg/ml, not just dilution), incubation conditions, and complete experimental procedures .

  • Control experiments: Clearly describe all controls used to validate results.

  • Raw data availability: Consider depositing original unprocessed images in data repositories.

Journals increasingly require this information, and tools like SciScore can help automate the verification process during submission . Following these reporting standards is crucial for research reproducibility.

What strategies can enhance reproducibility when using YJR128W antibodies across different research groups?

To improve inter-laboratory reproducibility:

  • Use recombinant antibodies: These show superior consistency compared to polyclonal and monoclonal antibodies across assays .

  • Implement standardized protocols: Follow consensus protocols developed by collaborations between academic researchers and antibody manufacturers .

  • Share detailed methodology: Include comprehensive methods sections in publications with exact antibody concentrations and conditions .

  • Validate in your system: Even with published validation data, verify antibody performance in your specific experimental setup.

  • Participate in collaborative characterization efforts: Consider contributing to initiatives like YCharOS or Only Good Antibodies (OGA) that aim to improve antibody validation standards .

What resources are available to find validated YJR128W antibodies?

Researchers can consult:

  • YCharOS database: An independent, open-source platform that evaluates antibody performance across standardized assays .

  • Only Good Antibodies (OGA): A community that promotes awareness of antibody characterization issues and provides educational resources .

  • Antibody Registry: Assigns unique RRIDs to antibodies to track their use across publications .

  • Published literature: Examine methods sections of papers studying YJR128W to identify validated antibodies.

  • Vendor technical support: Request validation data specific to yeast applications.

When selecting resources, prioritize those providing access to knockout validation data, as this has proven to be the most reliable method for confirming antibody specificity .

How will emerging technologies impact YJR128W antibody research?

Emerging trends that will influence YJR128W antibody research include:

  • Recombinant antibody development: These renewable resources with defined sequences will continue to outperform traditional antibodies .

  • Standardized characterization pipelines: Initiatives like YCharOS are expanding to cover more targets with consistent validation methods .

  • Artificial intelligence: Machine learning approaches to predict antibody specificity and performance.

  • Open data repositories: Expanded sharing of validation data will help researchers select appropriate reagents.

  • CRISPR-engineered cell lines: More accessible knockout controls will improve validation standards.

While technological advancements are important, the scientific community should not delay antibody characterization efforts waiting for new technologies, as was learned from the Human Genome Project experience .

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