YJR085C Antibody

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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
YJR085C; J1863; TMEM14 protein homolog YJR085C
Target Names
YJR085C
Uniprot No.

Target Background

Database Links

KEGG: sce:YJR085C

STRING: 4932.YJR085C

Protein Families
TMEM14 family
Subcellular Location
Mitochondrion. Membrane; Multi-pass membrane protein.

Q&A

What is YJR085C/TMH11 and why develop antibodies against it?

YJR085C (standard name: TMH11) is a mitochondrial protein in Saccharomyces cerevisiae with several notable characteristics:

  • Identified as "TMem14 Homolog of 11 kDa" based on sequence analysis

  • GFP-fusion protein shows induction in response to DNA-damaging agents such as MMS

  • The native protein localizes to mitochondria in high-throughput studies

  • Protein abundance increases specifically during DNA replication stress

  • Function remains largely uncharacterized despite phenotypic associations

Developing antibodies against YJR085C is valuable for studying stress response pathways in yeast, particularly those involving mitochondrial function during DNA damage events. The protein's response to specific stressors makes it an interesting target for research into cellular stress adaptation mechanisms.

What validation steps are essential for YJR085C antibodies?

Proper antibody validation is critical for experimental reproducibility, especially for lesser-studied proteins like YJR085C:

  • Specificity testing:

    • Western blot analysis using wild-type and YJR085C knockout strains

    • Testing against recombinant YJR085C protein

    • Peptide competition assays to confirm epitope specificity

  • Application-specific validation:

    • Verify performance in intended applications (Western blot, immunoprecipitation, immunofluorescence)

    • Determine optimal antibody concentrations for each application

    • Document subcellular localization patterns matching known mitochondrial distribution

  • Cross-reactivity assessment:

    • Test against closely related yeast proteins

    • Evaluate potential cross-reaction with human homologs if applicable

These validation steps are particularly important given the "antibody characterization crisis" affecting research reproducibility .

How should experimental controls be designed for YJR085C antibody experiments?

Proper controls are essential when working with antibodies targeting proteins of unknown function:

  • Genetic controls:

    • YJR085C deletion strain (negative control)

    • YJR085C overexpression strain (positive control)

    • Tagged YJR085C strain (validation control)

  • Technical controls:

    • Secondary antibody-only staining to assess background

    • Isotype control antibodies to detect non-specific binding

    • Pre-immune serum controls for polyclonal antibodies

    • Absorption controls using recombinant protein

  • Experimental condition controls:

    • Time-course sampling to capture dynamic changes

    • Parallel tracking of known mitochondrial proteins

    • Inclusion of non-stressed conditions as baseline

These controls help address the widespread issue of false positives and negatives in antibody-based experiments, which has led to significant reproducibility issues in biomedical research .

What are the key considerations for storing and handling YJR085C antibodies?

Proper antibody storage and handling directly impacts experimental reproducibility:

  • Storage recommendations:

    • Store concentrated antibody stocks at -20°C or -80°C

    • Prepare small working aliquots to avoid freeze-thaw cycles

    • Add glycerol (30-50%) for freezer storage to prevent damage

    • Include preservatives (e.g., 0.02% sodium azide) for refrigerated working solutions

  • Handling procedures:

    • Avoid repeated freezing and thawing

    • Centrifuge after thawing to remove aggregates

    • Maintain sterile conditions to prevent contamination

    • Document lot numbers and date of first use

  • Performance monitoring:

    • Periodically test antibody activity using positive controls

    • Monitor for signs of degradation (loss of specificity, increased background)

    • Document optimal working concentrations for each application

Careful storage is particularly important for polyclonal antibodies, which are susceptible to batch variability and can introduce false positives and increased background noise in experiments .

How can YJR085C antibodies be optimized for detecting low abundance expression?

YJR085C may be expressed at low levels under basal conditions, requiring specialized detection approaches:

  • Sample enrichment strategies:

    • Mitochondrial isolation and purification prior to analysis

    • Immunoprecipitation to concentrate target protein

    • Subcellular fractionation to reduce sample complexity

  • Signal amplification methods:

    • Tyramide signal amplification for immunofluorescence

    • Enhanced chemiluminescence with extended exposure for Western blots

    • Poly-HRP detection systems for increased sensitivity

  • Technical optimizations:

    • Extended antibody incubation times at lower temperatures

    • Optimized detergent conditions for mitochondrial membrane proteins

    • Use of low-background blocking reagents (protein-free blockers)

These approaches are particularly relevant given that mitochondrial proteins often require specialized detection methods, as seen with other mitochondrial proteins like APOPT1 .

What approaches can resolve contradictory results between different YJR085C antibodies?

When different antibodies against YJR085C yield conflicting results:

  • Comprehensive antibody characterization:

    • Map epitopes recognized by each antibody

    • Test multiple antibodies targeting different protein regions

    • Validate each antibody individually using knockout controls

    • Assess batch variability, especially for polyclonal antibodies

  • Orthogonal validation approaches:

    • Compare antibody results with tagged protein expression patterns

    • Use mass spectrometry to confirm protein identity

    • Employ RNA interference to correlate with protein knockdown

    • Generate new validation data using CRISPR-mediated tagging

  • Harmonization strategies:

    • Create standardized testing protocols across antibodies

    • Develop consensus detection methods

    • Document specific conditions where each antibody performs optimally

    • Use antibody combinations when possible

This systematic approach helps address the significant variability between antibodies that has contributed to reproducibility issues in biomedical research .

How can YJR085C antibodies be employed in mitochondrial localization studies?

For precise localization of YJR085C within mitochondria:

  • Colocalization strategies:

    • Co-staining with established mitochondrial compartment markers

    • Super-resolution microscopy for detailed suborganellar localization

    • Electron microscopy with immunogold labeling for ultrastructural analysis

  • Biochemical approaches:

    • Submitochondrial fractionation combined with immunoblotting

    • Protease protection assays to determine membrane topology

    • Chemical crosslinking followed by immunoprecipitation

  • Live-cell imaging approaches:

    • Correlative antibody staining with fluorescently-tagged versions

    • Proximity labeling techniques (BioID, APEX) to identify neighboring proteins

    • FRET-based approaches to study protein-protein interactions

These techniques can help determine whether YJR085C is located in the mitochondrial matrix, inner membrane, intermembrane space, or outer membrane, providing clues to its function.

What strategies can improve co-immunoprecipitation of YJR085C and interacting partners?

For identifying YJR085C interacting proteins:

  • Optimization of lysis conditions:

    • Test different detergents (digitonin, DDM, CHAPS) for mitochondrial membrane solubilization

    • Adjust salt concentrations to preserve interactions

    • Include protease and phosphatase inhibitors to maintain protein integrity

    • Consider crosslinking to capture transient interactions

  • Antibody considerations:

    • Use affinity-purified antibodies to reduce background

    • Test both N-terminal and C-terminal targeting antibodies

    • Consider developing conformation-specific antibodies if structure is known

    • Validate antibody performance in immunoprecipitation specifically

  • Controls and validation:

    • Include IgG-only controls

    • Perform reciprocal immunoprecipitations

    • Validate interactions using orthogonal methods (proximity labeling, yeast two-hybrid)

    • Compare interactomes under different stress conditions

This methodological approach is particularly valuable given that YJR085C shows phenotypic responses to DNA-damaging agents and stress conditions .

How can YJR085C antibodies be used to study DNA damage response pathways?

Given that YJR085C responds to DNA-damaging agents and replication stress:

  • Experimental design considerations:

    • Time-course sampling after DNA damage induction

    • Dose-response experiments with damage-inducing agents

    • Cell cycle synchronization to control for cell cycle effects

    • Combination with cell cycle markers and DNA damage sensors

  • Analytical approaches:

    • Quantitative immunoblotting to measure expression changes

    • Immunofluorescence to track relocalization events

    • Flow cytometry for single-cell analysis of protein levels

    • ChIP-seq if DNA association is suspected

  • Pathway analysis strategies:

    • Co-immunoprecipitation under damage conditions

    • Phospho-specific antibody development if phosphorylation is involved

    • Correlation with known DNA damage response proteins

    • Epistasis analysis using genetic knockouts

These approaches can help determine whether YJR085C plays a direct role in DNA damage response or is indirectly affected through mitochondrial stress pathways.

What phenotypic data exists for YJR085C/TMH11 that could inform antibody studies?

The YeastPhenome database provides valuable phenotypic data for YJR085C/TMH11 mutants:

ConditionNormalized Phenotypic ValuePercentile
Carotenoid production-2.770.38%
Growth at 30°C (2d)-2.210.76%
Temperature oscillation (30-33°C, 2d)-2.131.15%
Calcium chloride + sodium chloride-1.401.91%
Growth at 30°C (4d)-1.372.29%
H3K79 methylation-1.262.67%
Benomyl sensitivity-1.023.05%

Conversely, YJR085C deletion shows positive phenotypes in certain conditions:

ConditionNormalized Phenotypic ValuePercentile
Gamma valerolactone growth5.33100.00%
Human TDP-43 expression3.1399.62%
Rapamycin treatment2.0399.24%
Sodium arsenite exposure1.7998.85%
Cellular calcium abundance1.7098.47%

These phenotypic data suggest YJR085C plays roles in stress response and mitochondrial function, providing direction for antibody-based studies of protein expression under these conditions .

What are the implications of developing computational methods for YJR085C antibody design?

Computational antibody design could address challenges in developing high-quality YJR085C antibodies:

  • Structure-based design approaches:

    • Using tools like RosettaAntibodyDesign (RAbD) to sample diverse sequence and structural space

    • Modeling the YJR085C protein structure to identify optimal epitopes

    • Designing antibodies with specificity for particular functional domains

    • Creating antibodies that recognize specific conformational states

  • Epitope optimization strategies:

    • Identifying epitopes that are exposed in the native protein

    • Selecting regions with minimal similarity to other yeast proteins

    • Designing epitopes that span structurally important regions

    • Targeting conserved regions if cross-species reactivity is desired

  • Validation frameworks:

    • Developing computational predictions for antibody specificity

    • Creating in silico screening protocols before experimental validation

    • Designing comprehensive validation experiments based on structural predictions

    • Using sequence and structural recovery metrics to assess design quality

These computational approaches can reduce the time and resources needed for antibody development while potentially increasing specificity and affinity.

How can YJR085C antibodies contribute to understanding mitochondrial involvement in cellular stress?

The mitochondrial localization of YJR085C coupled with its response to stress conditions provides opportunities for mechanistic studies:

  • Mitochondrial dynamics investigations:

    • Tracking YJR085C localization during mitochondrial fission/fusion events

    • Correlating protein levels with mitochondrial morphology changes

    • Examining co-localization with stress-responsive mitochondrial proteins

    • Investigating potential roles in mitochondrial protein import or assembly

  • Metabolic adaptation studies:

    • Analyzing YJR085C expression during metabolic shifts (like the switch from glycolysis to respiration)

    • Examining correlation with pyruvate metabolism components, given the importance of mitochondrial pyruvate import in stress responses

    • Investigating potential roles in respiratory chain assembly or function

  • Stress response pathway integration:

    • Using antibodies to track post-translational modifications of YJR085C during stress

    • Examining protein-protein interactions that form specifically under stress conditions

    • Correlating YJR085C levels with mitochondrial reactive oxygen species production

    • Investigating potential roles in stress signaling from mitochondria to nucleus

These approaches can help determine whether YJR085C plays a direct role in coordinating mitochondrial responses to cellular stress, particularly during DNA damage events.

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