Recombinant Dictyostelium discoideum Proteasome subunit alpha type-4 (psmA4)

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Description

Expression and Purification Systems

D. discoideum is a well-established eukaryotic model for recombinant protein production due to its efficient secretion machinery and post-translational modification capabilities . For PSMA4:

  • Expression Vector: PSMA4 cDNA is cloned into plasmids (e.g., pBsr-C1-GFP) using BamHI and XmaI restriction sites, often fused with GFP for visualization .

  • Transformation: Electroporation into D. discoideum cells, followed by selection with Blasticidin S (5 μg/mL) .

  • Verification: Confirmed via fluorescence microscopy and Western blotting .

Table 1: Key Parameters for Recombinant PSMA4 Expression

ParameterDetail
Host SystemDictyostelium discoideum AX2 strain
TagGFP (C-terminal)
Selection MarkerBlasticidin S resistance
Yield~10–20 mg/L (culture supernatant)
Purity>95% (achieved via ammonium sulfate precipitation and chromatography)

Role in Autophagy and Proteostasis

Autophagy-deficient D. discoideum mutants (e.g., ATG9⁻ and ATG16⁻) exhibit impaired proteasomal activity due to defective proteaphagy (selective autophagy of proteasomes). Recombinant PSMA4-GFP studies revealed:

  • Accumulation of Modified Proteasomes: Autophagy mutants retain inactive or less-active proteasomes, leading to disrupted protein homeostasis .

  • Ubiquitination Patterns: Altered ubiquitination of proteasomal regulators in mutants suggests crosstalk between UPS and autophagy .

Interaction Partners

Co-immunoprecipitation and mass spectrometry identified PSMA4-binding proteins:

  • Sec7: A cytohesin-family ARF-GEF involved in phagocytosis and cell migration. PSMA4 interacts with Sec7, linking proteasomal activity to membrane trafficking .

  • p97 (VCP): A AAA-ATPase associated with neurodegenerative diseases. Co-expression studies suggest PSMA4 and p97 jointly regulate proteostasis .

Table 2: Key Interaction Partners of PSMA4

ProteinFunctionBiological ProcessCitation
Sec7ARF-GEF for GTPase activationPhagocytosis, cell migration
p97 (VCP)Ubiquitin-dependent protein degradationProteostasis, autophagy
ATG16Autophagosome formationProteaphagy regulation

Applications in Disease Modeling

  • Neurodegenerative Diseases: D. discoideum PSMA4 studies have elucidated mechanisms relevant to Parkinson’s disease (PD). For example, Roco4 (a homolog of human LRRK2) interacts with proteasomal components, and its G1179S mutation (analogous to PD-linked G2019S) increases kinase activity, mimicking PD pathology .

  • Cystic Fibrosis: PSMA4 dysregulation is linked to protein aggregation, a hallmark of cystic fibrosis .

Technical Advancements

  • Antibody Tools: Recombinant antibodies against D. discoideum antigens, including PSMA4, enable precise localization and functional studies .

  • Live-Cell Imaging: GFP-tagged PSMA4 allows real-time tracking of proteasome dynamics during stress responses .

Challenges and Future Directions

  • Activity Assays: Quantifying proteasomal activity in autophagy mutants requires standardized assays (e.g., fluorogenic substrate cleavage) .

  • Therapeutic Targeting: Small-molecule modulators of PSMA4-proteasome interactions could address UPS-related diseases .

Product Specs

Form
Lyophilized powder. We will preferentially ship the available format, but please specify any format requirements when ordering.
Lead Time
Delivery times vary by purchase method and location. Consult your local distributor for specific delivery times. Proteins are shipped with blue ice packs by default. Request dry ice shipping in advance for an extra fee.
Notes
Avoid repeated freeze-thaw cycles. Store working aliquots at 4°C for up to one week.
Reconstitution
Briefly centrifuge the vial before opening. Reconstitute protein in sterile deionized water to 0.1-1.0 mg/mL. Add 5-50% glycerol (final concentration) and aliquot for long-term storage at -20°C/-80°C. Our default final glycerol concentration is 50%.
Shelf Life
Shelf life depends on storage conditions, buffer components, temperature, and protein stability. Liquid form is generally stable for 6 months at -20°C/-80°C. Lyophilized form is generally stable for 12 months at -20°C/-80°C.
Storage Condition
Store at -20°C/-80°C upon receipt. Aliquot for multiple uses. Avoid repeated freeze-thaw cycles.
Tag Info
Tag type is determined during manufacturing. If you require a specific tag, please inform us, and we will prioritize its development.
Synonyms
psmA4; prdD; DDB_G0280969; Proteasome subunit alpha type-4; EC 3.4.25.1; Proteasome component DD4
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-250
Protein Length
full length protein
Purity
>85% (SDS-PAGE)
Species
Dictyostelium discoideum (Slime mold)
Target Names
psmA4
Target Protein Sequence
MARRYDQRTT IFSPEGRVYQ VEYAMTAIRH AGATVGILAK DGIVLAAEKK TTAKLLDSST SISEKMFKID EHVVCAVAGI TSDANILINY ARLSSQRFFY QYQEPMPVEQ LVSQICDTKQ GYTQYGGLRP FGVSFLYAGW DRHYGFQLYQ SDPSGNFAGW KATSIGGENS QVAQSVLRSN YKPDISLKEA LQLALKVLTK TMDRSNINSE KLEFSYFTKQ GDNVVYHIFT AAELDAFIKE TDLEQETEDN
Uniprot No.

Target Background

Function
The proteasome is a multicatalytic proteinase complex that cleaves peptides with Arg, Phe, Tyr, Leu, and Glu next to the leaving group at neutral or slightly basic pH. It has ATP-dependent proteolytic activity.
Database Links
Protein Families
Peptidase T1A family
Subcellular Location
Cytoplasm. Nucleus.

Q&A

What is the role of Proteasome subunit alpha type-4 (psmA4) in Dictyostelium discoideum?

Proteasome subunit alpha type-4 (psmA4) functions as a component of the 20S core particle of the proteasome complex in D. discoideum. The proteasome is essential for protein turnover and cellular homeostasis in this social amoeba. Like other proteasome subunits, psmA4 contributes to both growth and developmental processes, which are tightly regulated in Dictyostelium . Research indicates that proteasome functionality is crucial during both the unicellular and multicellular phases of the Dictyostelium life cycle, suggesting that psmA4 plays an important role in the organism's developmental transitions .

Why is Dictyostelium discoideum used as a model for studying proteasome components?

Dictyostelium discoideum presents several advantages as a model organism for studying proteasome components like psmA4:

  • It undergoes a unique life cycle with both unicellular and multicellular phases, allowing researchers to study proteasome function in different developmental contexts .

  • Its genome is fully sequenced and relatively easy to manipulate genetically.

  • Many of its cellular processes are conserved in higher eukaryotes, making findings potentially applicable to human health.

  • It offers simplified experimental systems for examining protein degradation pathways .

  • The organism responds specifically to different bacterial species, making it valuable for studying proteasome involvement in immune-like responses .

How is psmA4 expression regulated during Dictyostelium development?

The expression of proteasome subunits in Dictyostelium, including psmA4, is developmentally regulated. Similar to what has been observed with DdTBP alpha (another regulatory protein in D. discoideum), proteasome component expression is typically highest during growth and early development phases . Transcriptional analysis reveals that proteasome genes respond to developmental signals and may be differentially expressed as cells transition from the unicellular to multicellular stage. This regulation ensures appropriate proteasomal activity throughout the organism's life cycle, with specific adaptations during aggregation, slug formation, and fruiting body development .

What are the optimal methods for recombinant expression of psmA4?

The recombinant expression of psmA4 from Dictyostelium discoideum requires careful consideration of expression systems and conditions:

Recommended Expression Systems:

Expression SystemAdvantagesChallengesOptimization Strategies
E. coli (BL21)High yield, cost-effectivePotential misfoldingLower induction temperature (16-18°C), co-expression with chaperones
Dictyostelium itselfNative folding environmentLower yieldUse of strong promoters (e.g., actin15)
Insect cellsBetter folding for eukaryotic proteinsMore expensiveOptimize MOI and harvest time

For optimal expression in E. coli, consider the following protocol:

  • Clone the psmA4 gene into a vector with an N-terminal His-tag for purification.

  • Transform into BL21(DE3) cells.

  • Grow cultures at 37°C to OD600 of 0.6-0.8.

  • Induce with 0.1-0.5 mM IPTG at 18°C overnight.

  • Harvest cells and purify using immobilized metal affinity chromatography.

For functional studies, expression in Dictyostelium itself may provide better activity, despite lower yields. This approach can be facilitated using the recombinant antibody techniques developed specifically for Dictyostelium research .

How can researchers optimize purification protocols for recombinant psmA4?

Purification of recombinant psmA4 requires attention to protein stability and potential for aggregation:

  • Buffer Optimization:

    • Use buffers containing 25-50 mM Tris-HCl (pH 7.5-8.0), 100-300 mM NaCl, 5-10% glycerol, and 1-5 mM DTT to maintain stability.

    • Include protease inhibitors throughout the purification process.

  • Chromatography Strategy:

    • Begin with immobilized metal affinity chromatography (IMAC) if a His-tag is used.

    • Follow with ion exchange chromatography to remove contaminants.

    • Finish with size exclusion chromatography to ensure homogeneity and remove aggregates.

  • Critical Considerations:

    • Maintain samples at 4°C throughout purification.

    • Test different elution conditions to optimize yield without promoting aggregation.

    • Consider tag removal if it affects functional assays.

    • Verify protein integrity by SDS-PAGE and activity assays at each purification step.

  • Solubility Enhancement:

    • If solubility is an issue, test different detergents (0.01-0.05% Triton X-100 or NP-40) or increase salt concentration.

    • For severe solubility problems, consider refolding protocols or alternative expression systems.

The recombinant antibody toolbox developed for Dictyostelium can be valuable in tracking psmA4 during purification through Western blotting or immunoprecipitation .

What functional assays can be used to assess recombinant psmA4 activity?

Several functional assays can be employed to evaluate the activity of recombinant psmA4:

Proteasome Activity Assays:

  • Fluorogenic Peptide Substrates:

    • Use substrates like Suc-LLVY-AMC to measure chymotrypsin-like activity.

    • Follow fluorescence release at excitation 380 nm/emission 460 nm.

    • Compare activity with and without proteasome inhibitors to confirm specificity.

  • In vitro Reconstitution:

    • Combine purified recombinant psmA4 with other proteasome subunits.

    • Assess assembly through gradient centrifugation or native PAGE.

    • Measure proteolytic activity of reconstituted complexes.

  • Cellular Assays:

    • Complement psmA4-deficient cells with recombinant protein.

    • Assess restoration of growth, development, or specific proteasome functions.

    • Monitor cellular phenotypes related to protein degradation.

  • Protein-Protein Interaction Studies:

    • Use pull-down assays, co-immunoprecipitation, or yeast two-hybrid to identify interaction partners.

    • Confirm interactions through biophysical methods (SPR, ITC).

  • Structural Analysis:

    • Employ circular dichroism to assess secondary structure.

    • Use thermal shift assays to evaluate protein stability.

When designing these assays, researchers should include appropriate controls and validate their findings using multiple approaches to ensure reliability .

How does psmA4 function differ during growth versus developmental phases in Dictyostelium?

The function of proteasome components, including psmA4, appears to vary between growth and developmental phases in Dictyostelium. This parallels observations with the DdTBP alpha gene, which shows differential expression and function during these stages :

Growth Phase:

  • Proteasome activity is essential for normal cell division and protein homeostasis.

  • Disruption of proteasome function during growth can lead to multinucleated cells or growth arrest.

  • The proteasome may play a role in regulating cell size and nuclear division during vegetative growth.

Developmental Phase:

  • During early development, proteasome activity facilitates protein turnover required for transcriptional reprogramming.

  • During aggregation and morphogenesis, the proteasome likely degrades specific regulators in a temporally controlled manner.

  • Overexpression or disruption of proteasome components can delay the formation of multicellular aggregates.

  • Aberrant proteasome function can lead to abnormal fruiting body formation.

Transcriptomic analyses have revealed that D. discoideum exhibits highly specific responses to different environmental stimuli, suggesting that proteasome regulation may be similarly context-dependent . The proteasome likely targets different substrate proteins during various developmental stages, coordinating the transitions between growth, aggregation, and fruiting body formation.

What approaches can be used to study psmA4 post-translational modifications?

Post-translational modifications (PTMs) of psmA4 can significantly affect its function within the proteasome complex. To study these modifications:

Identification Methods:

  • Mass Spectrometry:

    • Use MS/MS analysis after tryptic digestion to identify specific PTMs.

    • Apply targeted approaches like Multiple Reaction Monitoring (MRM) for quantification.

    • Consider enrichment strategies for specific modifications (e.g., TiO2 for phosphopeptides).

  • Site-Directed Mutagenesis:

    • Mutate putative modification sites to prevent modification.

    • Create phosphomimetic mutations (e.g., Ser to Asp) to simulate phosphorylation.

    • Assess functional consequences in activity assays.

  • Specific Antibodies:

    • Generate or obtain antibodies specific to modified forms of psmA4.

    • Use these for Western blotting or immunoprecipitation to track modification status.

Functional Analysis:

  • Temporal Profiling:

    • Track modification patterns during different developmental stages.

    • Correlate modifications with changes in proteasome activity or composition.

  • Enzyme Identification:

    • Use inhibitors or genetic approaches to identify enzymes responsible for modifications.

    • Perform in vitro modification assays with purified enzymes.

  • Structural Impact:

    • Use molecular modeling to predict how modifications affect protein-protein interactions.

    • Validate predictions with biophysical interaction assays.

The experimental design should include appropriate controls and validation through multiple techniques to ensure reliable identification and functional characterization of PTMs .

How can CRISPR-Cas9 be applied to study psmA4 function in Dictyostelium?

CRISPR-Cas9 technology offers powerful approaches for investigating psmA4 function in Dictyostelium discoideum:

Gene Editing Strategies:

  • Knockout Generation:

    • Design sgRNAs targeting the psmA4 coding sequence.

    • Create complete knockouts if viable, or conditional knockouts if essential.

    • Analyze phenotypic consequences during growth and development.

  • Knock-in Approaches:

    • Insert fluorescent tags for real-time visualization of psmA4 localization.

    • Introduce specific mutations to study structure-function relationships.

    • Create reporter constructs to monitor psmA4 expression dynamics.

  • Promoter Modification:

    • Manipulate the endogenous promoter to alter expression levels.

    • Create inducible expression systems for temporal control.

Implementation Considerations:

  • Delivery Method:

    • Optimize electroporation protocols for Dictyostelium.

    • Consider using Cas9 ribonucleoprotein complexes for transient expression.

  • Selection Strategy:

    • Design appropriate selection markers compatible with Dictyostelium.

    • Use fluorescence-activated cell sorting if using fluorescent markers.

  • Validation Approaches:

    • Confirm edits through sequencing and functional assays.

    • Check for off-target effects at predicted sites.

    • Rescue experiments to confirm phenotype specificity.

  • Phenotypic Analysis:

    • Examine growth rates, morphology, and development.

    • Assess proteasome assembly and activity.

    • Analyze gene expression changes using RNA-seq.

When implementing CRISPR-Cas9 experiments, researchers should consider the specific characteristics of Dictyostelium, including its high A/T content which may affect sgRNA design and efficiency.

What are common challenges in recombinant psmA4 expression and how can they be addressed?

Researchers frequently encounter several challenges when expressing recombinant psmA4:

ChallengePossible CausesSolutions
Low expression yieldPromoter inefficiency, codon bias, protein toxicityOptimize codon usage, use stronger promoters, reduce induction temperature, use specialized expression strains
Protein insolubilityMisfolding, hydrophobic regions, improper disulfide formationExpress with solubility tags (MBP, SUMO), add detergents, use folding enhancers, try refolding protocols
DegradationProtease sensitivity, inherent instabilityAdd protease inhibitors, express in protease-deficient strains, optimize buffer conditions, reduce expression temperature
Loss of activityImproper folding, missing cofactors or interacting partnersCo-express with other proteasome subunits, add stabilizing agents, express in eukaryotic systems
Aggregation during purificationHydrophobic interactions, concentration effectsAdd mild detergents, optimize salt concentration, use additives like glycerol or arginine

Practical Approaches:

  • If expression in E. coli yields insoluble protein, switch to a Dictyostelium expression system using the techniques developed for recombinant antibody production in this organism .

  • For proteins that remain challenging, consider cell-free expression systems that allow better control of the biochemical environment during synthesis.

  • When troubleshooting, make single changes at a time and document results systematically to identify optimal conditions.

How should researchers interpret contradictory data regarding psmA4 function?

When faced with contradictory data regarding psmA4 function, researchers should take a systematic approach to resolution:

  • Examine Experimental Conditions:

    • Compare buffer compositions, protein concentrations, and assay temperatures.

    • Assess purity and integrity of protein preparations.

    • Consider the presence of tags or modifications that might affect function.

  • Review Methodological Differences:

    • Determine if different activity assays are measuring the same aspect of function.

    • Consider whether in vitro results may differ from in vivo observations due to cellular context.

    • Evaluate whether protein isolation methods might affect native structure or activity.

  • Reconciliation Strategies:

    • Design experiments that directly test competing hypotheses.

    • Use multiple, orthogonal approaches to measure the same parameter.

    • Consider that seemingly contradictory results might reflect different aspects of multifunctional proteins.

  • Statistical Analysis:

    • Apply appropriate statistical tests to determine if differences are significant.

    • Consider sample sizes and potential for type I and type II errors.

    • Use meta-analysis techniques when comparing across multiple studies.

  • Biological Context:

    • Consider developmental stage-specific functions, as proteasome activity varies between growth and development phases .

    • Evaluate whether contradictions might reflect species-specific or context-dependent roles.

When designing experimental approaches to resolve contradictions, researchers should employ the principles of robust experimental design, including appropriate controls, replication, and blinding where possible .

What statistical approaches are appropriate for analyzing psmA4 activity data?

For Enzymatic Activity Assays:

  • Enzyme Kinetics Analysis:

    • Use non-linear regression to fit data to Michaelis-Menten, allosteric, or other appropriate models.

    • Calculate and compare parameters like Km, Vmax, and kcat across experimental conditions.

    • Apply F-tests to determine which kinetic model best fits the data.

  • Comparing Activity Levels:

    • For normally distributed data, use t-tests (paired or unpaired) or ANOVA with appropriate post-hoc tests.

    • For non-normally distributed data, use non-parametric alternatives like Mann-Whitney U or Kruskal-Wallis tests.

    • Apply multiple testing corrections (e.g., Bonferroni, Benjamini-Hochberg) when making multiple comparisons.

For Complex Datasets:

  • Multivariate Analysis:

    • Use principal component analysis (PCA) to identify patterns in complex datasets.

    • Apply hierarchical clustering to group similar conditions or treatments.

    • Consider partial least squares or similar methods for correlating activity with multiple variables.

  • Time-Course Data:

    • Use repeated measures ANOVA or mixed-effects models for longitudinal data.

    • Consider functional data analysis for continuous time-course measurements.

    • Apply change-point analysis to identify significant transitions in activity.

Experimental Design Considerations:

  • Conduct power analysis to determine appropriate sample sizes.

  • Include biological and technical replicates to assess variability.

  • Randomize samples and blind analysis where possible to minimize bias.

  • Report effect sizes alongside p-values to indicate biological significance.

When analyzing data from functional assays, consider the true experimental unit (e.g., independent protein preparations rather than technical replicates) when determining degrees of freedom for statistical tests .

How does Dictyostelium psmA4 compare to homologs in other species?

Proteasome subunit alpha type-4 (psmA4) shows evolutionary conservation across species while maintaining organism-specific characteristics:

Structural Conservation:

  • The core domains responsible for proteasome assembly and function are highly conserved from Dictyostelium to humans.

  • The N-terminal region typically shows greater sequence variation than the core alpha-subunit fold.

  • Key interface residues that mediate interactions with neighboring subunits display strong conservation.

Functional Comparison:

  • The fundamental role in proteasome assembly and protein degradation is conserved across species.

  • Species-specific differences may exist in regulatory mechanisms, including post-translational modifications and interaction partners.

  • In higher eukaryotes, multiple isoforms may exist with tissue-specific expression patterns, while Dictyostelium typically has fewer isoforms.

Evolutionary Insights:

  • Proteasome components evolved early in eukaryotic evolution, with the core architecture preserved.

  • Regulatory mechanisms have diversified to accommodate increasing complexity in higher organisms.

  • Dictyostelium proteasome components often represent an intermediate complexity between yeast and mammalian systems.

This evolutionary conservation makes Dictyostelium an excellent model for studying fundamental aspects of proteasome biology, with findings potentially translatable to human systems. The unique developmental cycle of Dictyostelium also provides insights into how proteasome function is adapted to support transitions between unicellular and multicellular states .

How can researchers leverage comparative genomics to understand psmA4 function?

Comparative genomics approaches offer powerful insights into psmA4 function and regulation:

Sequence-Based Approaches:

  • Multiple Sequence Alignment:

    • Align psmA4 sequences across diverse species to identify conserved domains.

    • Use conservation patterns to predict functionally important residues.

    • Identify species-specific insertions or deletions that might confer specialized functions.

  • Phylogenetic Analysis:

    • Construct phylogenetic trees to track evolutionary relationships.

    • Identify patterns of co-evolution with interacting proteins.

    • Detect signatures of selection pressure on specific domains.

  • Motif Analysis:

    • Identify regulatory motifs in promoter regions that may control expression.

    • Compare intron-exon structures across species to understand gene architecture evolution.

Functional Genomics Integration:

  • Expression Pattern Comparison:

    • Compare developmental or tissue-specific expression patterns across species.

    • Identify conserved co-expression networks that suggest functional associations.

  • Phenotypic Data Integration:

    • Correlate mutant phenotypes across model organisms to identify conserved functions.

    • Use cross-species phenotype ontologies to standardize comparisons.

  • Structural Prediction:

    • Use homology modeling based on solved structures from other species.

    • Predict impact of species-specific variations on protein folding and interactions.

Practical Implementation:

  • Begin with closely related species to Dictyostelium (other social amoebae).

  • Extend comparisons to more distant model organisms with well-characterized proteasomes.

  • Use computational tools to identify conserved interaction networks.

  • Validate predictions experimentally using the recombinant protein approaches established for Dictyostelium .

This multi-faceted approach can reveal both ancient conserved functions and species-specific adaptations of psmA4, providing a broader context for understanding its role in Dictyostelium.

What emerging technologies show promise for advancing psmA4 research?

Several cutting-edge technologies have the potential to significantly advance our understanding of psmA4 function:

  • Cryo-Electron Microscopy:

    • Allows visualization of proteasome structures without crystallization.

    • Can capture different conformational states of the proteasome complex.

    • Enables structural determination of psmA4 within the intact proteasome.

  • Single-Cell Proteomics:

    • Provides insights into cell-to-cell variability in proteasome composition.

    • Can track proteasome dynamics during Dictyostelium development.

    • May reveal subpopulation-specific proteasome regulation.

  • Proximity Labeling Techniques:

    • BioID or APEX2 fusions to psmA4 can identify transient interaction partners.

    • Helps map the dynamic proteasome interactome during different developmental stages.

    • Can reveal spatial organization of proteasome complexes within cells.

  • Optogenetic Tools:

    • Allow temporal control of psmA4 activity or localization.

    • Enable precise perturbation experiments to dissect function.

    • Can reveal immediate consequences of proteasome inhibition in specific cellular compartments.

  • Advanced Imaging:

    • Super-resolution microscopy to visualize proteasome distribution and dynamics.

    • Correlative light and electron microscopy to link function with ultrastructure.

    • Live-cell imaging to track proteasome movement during development.

  • Systems Biology Approaches:

    • Multi-omics integration to understand proteasome function in broader cellular context.

    • Network analysis to identify functional modules associated with psmA4.

    • Mathematical modeling of proteasome assembly and function.

These technologies, combined with the established experimental approaches and the recombinant antibody toolbox available for Dictyostelium , provide powerful new avenues for investigating psmA4 function in cellular context.

What are the most significant unanswered questions about psmA4 in Dictyostelium?

Despite advances in our understanding of proteasome biology, several important questions about psmA4 in Dictyostelium remain unanswered:

  • Developmental Regulation:

    • How is psmA4 expression and incorporation into proteasomes regulated during the transition from unicellular to multicellular phases?

    • What transcription factors control psmA4 expression during different developmental stages?

    • How does proteasome composition change during development, and what role does psmA4 play in these changes?

  • Functional Specificity:

    • Does psmA4 confer substrate specificity to the proteasome, or is it primarily structural?

    • How do post-translational modifications of psmA4 alter proteasome function?

    • Are there Dictyostelium-specific interacting partners that modulate psmA4 function?

  • Cellular Localization:

    • Does the subcellular distribution of psmA4-containing proteasomes change during development?

    • Are there specialized pools of proteasomes with distinct compositions and functions?

    • How is proteasome assembly and localization coordinated during cell division and development?

  • Response to Environmental Stimuli:

    • How does psmA4 function respond to bacterial exposure, as Dictyostelium shows specific transcriptional responses to different bacteria ?

    • What is the role of psmA4 in stress response and adaptation?

    • How does nutrient availability affect psmA4 expression and function?

  • Evolutionary Aspects:

    • How has psmA4 function evolved across different Dictyostelium species?

    • Which aspects of psmA4 function are conserved from Dictyostelium to humans?

    • What can Dictyostelium psmA4 tell us about proteasome evolution in eukaryotes?

Addressing these questions will require integrating multiple experimental approaches, from biochemical characterization of recombinant psmA4 to in vivo studies of its function during Dictyostelium development.

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