Recombinant Dictyostelium discoideum Putative Uncharacterized Transmembrane Protein DDB_G0286087 is a synthetic version of a predicted transmembrane protein from the slime mold Dictyostelium discoideum. While its biological function remains uncharacterized, its recombinant form is produced in Escherichia coli for research purposes, often tagged with affinity tags (e.g., His-tag) to facilitate purification and downstream applications .
Recombinant DDB_G0286087 is synthesized in E. coli using standard bacterial expression systems. Key steps include:
Cloning: The gene is inserted into a plasmid with a His-tag for affinity purification.
Expression: Induction of protein synthesis under optimized conditions (e.g., temperature, inducer concentration).
Purification: His-tagged protein is captured via nickel or cobalt affinity chromatography, followed by conventional chromatography steps .
Purity: >80% as assessed by SDS-PAGE and Coomassie blue staining.
Concentration: >0.1 µg/µL (microplate BCA method).
While no direct functional studies on DDB_G0286087 exist, its classification as a transmembrane protein implies potential roles in:
Membrane Trafficking: Similar to D. discoideum proteins like DDB_G0281815, which interact with Golgi-to-ER trafficking machinery .
Signal Transduction: Uncharacterized transmembrane proteins in Dictyostelium often participate in chemotaxis or developmental signaling .
Subcellular Localization: No experimental data on its membrane compartment (e.g., plasma membrane, ER, Golgi).
Interaction Partners: No known binding partners or pathways identified.
Functional Homologs: No annotated orthologs in other organisms, limiting comparative analysis.
Though uncharacterized, DDB_G0286087 serves as a tool for:
Application | Details |
---|---|
Protein Localization | Fluorescent tagging studies to track membrane dynamics in Dictyostelium. |
Structural Biology | Cryo-EM or X-ray crystallography to resolve transmembrane domain architecture. |
Functional Screens | High-throughput assays to identify interacting proteins or pathways. |
Hypothetical Function: The "uncharacterized" designation underscores the need for targeted mutagenesis or RNAi studies to elucidate its role.
Expression Challenges: E. coli-expressed proteins may lack post-translational modifications critical for function, necessitating mammalian or yeast systems for functional analysis .
KEGG: ddi:DDB_G0286087
DDB_G0286087 is a small transmembrane protein consisting of 62 amino acids identified in the Dictyostelium discoideum genome. The protein is classified as "putative uncharacterized," indicating that while its sequence has been determined, its precise biological function remains to be fully elucidated. The protein has the amino acid sequence MAIHDANYIVSTSEFSSGVLISNFLLFNFIIISHSSLLSNTTTTTTTTTTTTNTKSTLHRSG and contains transmembrane domains that suggest its localization within cellular membranes . Unlike many proteins in other organisms, Dictyostelium discoideum proteins like DDB_G0286087 are part of a more robust G protein-signaling network that serves as an instructive model for Ras superfamily signaling in other systems .
Multiple expression systems can be employed for the production of recombinant DDB_G0286087, each with distinct advantages depending on research goals:
E. coli expression system: The most commonly used system for DDB_G0286087 production due to its simplicity and high yield. This system has been successfully used to produce His-tagged full-length DDB_G0286087 protein .
Mammalian expression (HEK293T cells): When proper post-translational modifications and folding are critical:
Baculovirus-insect cell system: For larger-scale production with eukaryotic processing:
For transmembrane proteins like DDB_G0286087, the BacMam system using HEK293S GnTi- cells has shown particular promise in addressing challenges related to heterologous overexpression and purification .
Proper storage and handling of recombinant DDB_G0286087 is critical for maintaining protein integrity and experimental reproducibility. The following protocol is recommended:
Storage conditions:
Store lyophilized protein at -20°C/-80°C upon receipt
Perform aliquoting for multiple use to avoid repeated freeze-thaw cycles
Reconstitution protocol:
Briefly centrifuge the vial before opening to bring contents to the bottom
Reconstitute in deionized sterile water to a concentration of 0.1-1.0 mg/mL
Add glycerol to 5-50% final concentration for long-term storage (50% is recommended)
Buffer composition:
Repeated freeze-thaw cycles should be strictly avoided as they can significantly compromise protein stability and activity.
Functional characterization of DDB_G0286087 requires a multi-faceted approach incorporating several complementary methodologies:
Genetic approaches:
Gene deletion studies: Create DDB_G0286087 knockout strains in Dictyostelium using homologous recombination or CRISPR-Cas9 systems to assess developmental phenotypes.
Rescue experiments: Reintroduce wild-type or mutant versions of DDB_G0286087 into knockout strains to verify specificity of observed phenotypes.
Signaling studies:
cAMP-dependent signaling analysis: Since Dictyostelium uses cAMP for developmental signaling, assess whether DDB_G0286087 deletion affects cAMP wave propagation and aggregation .
G protein interaction assays: Evaluate potential interactions with G protein subunits through co-immunoprecipitation or FRET-based approaches, given the robust G protein-signaling network in Dictyostelium .
Localization studies:
Fluorescent tagging: Express DDB_G0286087 with a C-terminal mVenus or other fluorescent tag to track localization during different developmental stages, using the pEG BacMam vector system .
Cell fractionation: Separate membrane fractions to confirm the predicted transmembrane localization of DDB_G0286087.
Post-translational modification analysis:
Methylation assays: Assess whether DDB_G0286087 undergoes isoprenylcysteine carboxy methylation, which has been shown to be essential for development in Dictyostelium .
Optimizing expression and purification of transmembrane proteins like DDB_G0286087 requires addressing several challenges:
Expression optimization:
Expression System | Optimization Strategy | Expected Yield |
---|---|---|
E. coli | Use specialized strains (C41/C43), lower induction temperature (16-18°C), reduce IPTG concentration (0.1-0.5 mM) | 1-5 mg/L |
HEK293S GnTi- | Optimize DNA:PEI ratio (1:3), use sodium butyrate (2-5 mM) to enhance expression | 0.5-2 mg/L |
Baculovirus | Optimize MOI (multiplicity of infection), harvest cells 48-72h post-infection | 1-3 mg/L |
Purification strategies:
Solubilization using mild detergents (DDM, LMNG, or GDN) at concentrations just above CMC
Two-step purification using:
IMAC (Immobilized Metal Affinity Chromatography) for His-tagged protein
Size exclusion chromatography to remove aggregates and impurities
Consider addition of lipids during purification to stabilize the transmembrane protein
Quality assessment:
SDS-PAGE analysis followed by Western blotting
Mass spectrometry to confirm identity
While the exact function of DDB_G0286087 remains uncharacterized, its transmembrane nature suggests potential roles in G protein signaling networks that are particularly robust in Dictyostelium discoideum:
Potential receptor function: As a transmembrane protein, DDB_G0286087 might function as a receptor or co-receptor in signaling pathways.
G protein interaction: The protein may interact with heterotrimeric G proteins, which in Dictyostelium are critical for chemotaxis and development. Small GTPase methylation occurs seconds after cAMP stimulation in starving cells, suggesting a rapid role in cAMP-dependent signaling .
Developmental regulation: If DDB_G0286087 functions similarly to other G protein-linked transmembrane proteins in Dictyostelium, it might be involved in:
Experimental approaches to test these hypotheses would include:
Co-immunoprecipitation with G protein subunits
Developmental phenotype analysis of knockout strains
Chemotaxis assays in response to cAMP gradients
Protein localization during development and in response to cAMP stimulation
Investigating protein-protein interactions involving transmembrane proteins like DDB_G0286087 requires specialized approaches:
In vivo interaction studies:
Split fluorescent protein complementation: Fuse fragments of a fluorescent protein (e.g., Venus) to DDB_G0286087 and potential interaction partners; fluorescence occurs only when proteins interact.
FRET/BRET analysis: Tag DDB_G0286087 and potential partners with appropriate donor/acceptor pairs to detect proximity-based energy transfer.
Co-localization studies: Use dual-color fluorescence microscopy to track DDB_G0286087 and potential partners during different developmental stages or following stimulation.
In vitro interaction studies:
Co-immunoprecipitation: Use carefully optimized detergent conditions to solubilize the protein while maintaining interactions:
Mild detergents (DDM, LMNG)
Physiological buffer conditions
Crosslinking for transient interactions
Pull-down assays: Use purified His-tagged DDB_G0286087 as bait for identifying interaction partners.
Challenges and considerations:
Transmembrane proteins like DDB_G0286087 require detergents for solubilization, which may disrupt weak interactions
The small size of DDB_G0286087 (62 amino acids) may limit interaction surface area
Native expression levels may be low, necessitating careful control experiments
Consider membrane microdomains that may affect interaction specificity in vivo
When working with putative uncharacterized proteins like DDB_G0286087, researchers often encounter contradictory data that require systematic evaluation:
Contradiction identification and classification:
Use a structured notation system with parameters (α, β, θ) where:
Apply this framework to common contradictions in DDB_G0286087 research:
Localization discrepancies between different tagging approaches
Functional assessments that yield opposing results
Interaction partners identified by different methods
Quality control measures:
Protein quality assessment:
Experimental validation:
Use multiple complementary techniques for key findings
Include appropriate positive and negative controls
Verify antibody specificity with knockout controls
Data integration: