Recombinant Dictyostelium discoideum Putative uncharacterized transmembrane protein DDB_G0281145 (DDB_G0281145)

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Description

Functional Characterization

DDB_G0281145 remains uncharacterized, with no documented interactions, pathways, or enzymatic activities. Key gaps include:

CategoryStatus
PathwaysNo associated pathways identified
Interacting ProteinsNo reported interactions
Enzymatic ActivityNone documented

Inferred Roles Based on Transmembrane Protein Classes

While DDB_G0281145 is not explicitly classified as a 5TM protein, its transmembrane nature aligns with broader functional trends observed in eukaryotic transmembrane proteins:

Potential RoleEvidence Base
Membrane TransportTransmembrane proteins often mediate transport or signaling
Vesicle TraffickingSome 5TM proteins localize to ER-Golgi vesicles (e.g., YIPF family)
Cancer Prognostic Marker~60% of 5TM proteins are linked to cancer outcomes (hypothetical analogy)

Research Applications and Challenges

DDB_G0281145 is primarily used as a research tool for studying Dictyostelium biology. Key challenges include:

ChallengeImplications
Low Structural ResolutionComputational models (QMEAN 0.56) limit mechanistic insights
Functional AmbiguityNo knockout studies or loss-of-function data reported
Host SpecificityE. coli expression may not replicate native post-translational modifications

Product Specs

Form
Lyophilized powder
Note: We prioritize shipping the format currently in stock. However, if you have specific format requirements, please indicate them when placing your order, and we will fulfill your request.
Lead Time
Delivery time may vary based on the purchasing method or location. Please consult your local distributors for specific delivery estimates.
Note: All our proteins are shipped with standard blue ice packs. If you require dry ice shipment, please communicate this to us in advance. Additional fees will apply.
Notes
Repeated freezing and thawing is not recommended. Store working aliquots at 4°C for up to one week.
Reconstitution
We recommend centrifuging the vial briefly before opening to ensure the contents are settled at the bottom. Reconstitute the protein in deionized sterile water to a concentration of 0.1-1.0 mg/mL. For long-term storage, we suggest adding 5-50% glycerol (final concentration) and aliquoting the solution at -20°C/-80°C. Our standard final concentration of glycerol is 50%, which can be used as a reference.
Shelf Life
The shelf life is influenced by various factors, including storage conditions, buffer composition, temperature, and the protein's inherent stability.
Generally, the shelf life of the liquid form is 6 months at -20°C/-80°C. The shelf life of the lyophilized form is 12 months at -20°C/-80°C.
Storage Condition
Upon receipt, store at -20°C/-80°C. Aliquoting is recommended for multiple use. Avoid repeated freeze-thaw cycles.
Tag Info
Tag type will be determined during the manufacturing process.
The tag type will be determined during the production process. If you have a specific tag type in mind, please inform us, and we will prioritize developing the specified tag.
Synonyms
DDB_G0281145; Putative uncharacterized transmembrane protein DDB_G0281145
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-71
Protein Length
full length protein
Species
Dictyostelium discoideum (Slime mold)
Target Names
DDB_G0281145
Target Protein Sequence
MAFIEENEILNKNINKNGIDYEVDEKLQNSYFNNFQPMRIEEEIKIKNEQKKAWISLTLF ILGFFFIIPWR
Uniprot No.

Target Background

Database Links
Subcellular Location
Membrane; Single-pass membrane protein.

Q&A

What is Dictyostelium discoideum and why is it significant as a model organism?

Dictyostelium discoideum is a social amoeba widely used as an inexpensive and high-throughput model system for studying fundamental cellular and developmental processes. Its significance lies in its unique life cycle, which includes both unicellular and multicellular phases. The organism has been used for nearly a century to study cell movement, chemotaxis, differentiation, and autophagy . Its fully sequenced, low redundancy genome maintains many genes and signaling pathways found in more complex eukaryotes while providing a simpler system to work with .

How does the lifecycle of Dictyostelium discoideum facilitate protein function studies?

The lifecycle of Dictyostelium comprises a unicellular growth phase and a 24-hour multicellular developmental phase with distinct stages. This development shares many features with metazoan development but occurs in a much shorter timeframe, allowing for rapid detection of developmental phenotypes . The haploid genome facilitates the introduction of one or multiple gene disruptions with relative ease, enabling researchers to study gene function in a true multicellular organism with measurable phenotypic outcomes .

What are the key advantages of using Dictyostelium for transmembrane protein research?

Key advantages include: (1) The haploid genome allowing easier genetic manipulation; (2) Availability of insertional mutant libraries that facilitate pharmacogenetic screens; (3) Various expression constructs enabling protein localization and function studies; (4) The organism's ability to transition between unicellular and multicellular states, providing insights into protein function in different cellular contexts . These features make Dictyostelium particularly valuable for studying transmembrane proteins, which constitute approximately 25% of proteins at a genomic scale but are often difficult to characterize experimentally .

What are the recommended methods for expressing recombinant DDB_G0281145 in Dictyostelium?

For expressing recombinant DDB_G0281145, researchers should consider: (1) Selecting appropriate expression vectors that contain Dictyostelium promoters such as actin-15 or discoidin; (2) Using GFP or other fluorescent tags to monitor protein localization; (3) Employing inducible expression systems when overexpression might be toxic; (4) Optimizing codon usage for Dictyostelium. Expression constructs like those described by Levi et al. (2000) and Veltman et al. (2009) have proven effective for studies on protein localization and function in Dictyostelium .

How can one determine the membrane topology of DDB_G0281145?

To determine membrane topology of transmembrane proteins like DDB_G0281145, researchers can employ: (1) Computational prediction tools specific for transmembrane proteins; (2) The TMDET algorithm, which uses structural information to locate the most likely position of the lipid bilayer; (3) Experimental approaches such as protease protection assays, site-directed fluorescence labeling, or GFP-fusion analysis at different predicted loops and termini; (4) Cysteine scanning mutagenesis combined with membrane-impermeable labeling reagents . These approaches should be used in combination for more reliable topology determination.

What strategies can be used to purify DDB_G0281145 while maintaining its native conformation?

Purification of transmembrane proteins while preserving native conformation requires: (1) Careful selection of detergents—mild non-ionic detergents like DDM or digitonin often work well; (2) Inclusion of stabilizing lipids during extraction and purification; (3) Maintaining a cold temperature throughout the purification process; (4) Using affinity tags positioned to minimize interference with protein folding; (5) Considering nanodiscs or styrene maleic acid lipid particles (SMALPs) for detergent-free extraction. For Dictyostelium proteins specifically, cell lysis conditions should be optimized to account for the unique membrane composition of this organism .

How can CRISPR-Cas9 gene editing be applied to study DDB_G0281145 function?

CRISPR-Cas9 gene editing can be applied to study DDB_G0281145 through: (1) Complete gene knockout to observe loss-of-function phenotypes; (2) Introduction of point mutations to identify critical functional residues; (3) Insertion of epitope tags for protein localization studies; (4) Creation of conditional knockouts if the protein is essential. Recent advances in CRISPR technology for Dictyostelium, as described by Yamashita et al., have enhanced the efficiency and precision of gene disruption in this model organism .

What phenotypic assays are most informative for characterizing DDB_G0281145 function?

For characterizing DDB_G0281145 function, researchers should consider these phenotypic assays: (1) Growth rate analysis in different media conditions; (2) Cell motility and chemotaxis assays, given Dictyostelium's robust motility; (3) Development progression analysis through each of the distinct stages (aggregation, mound formation, slug formation, and fruiting body development); (4) Phagocytosis and macropinocytosis efficiency measurements; (5) Stress response assays; (6) Cell-substrate and cell-cell adhesion assays. These approaches leverage Dictyostelium's well-characterized developmental program to reveal protein function .

How can researchers differentiate between direct and indirect effects when analyzing DDB_G0281145 knockout phenotypes?

To differentiate between direct and indirect effects in knockout studies: (1) Perform rescue experiments by reintroducing wild-type protein or specific mutants; (2) Use inducible expression systems to observe immediate versus long-term effects; (3) Apply pharmacological inhibitors that target the same pathway as the protein of interest; (4) Conduct epistasis analysis by creating double knockouts with known pathway components; (5) Perform temporal protein inactivation using degron tags or temperature-sensitive mutants. These approaches help establish causality rather than correlation in observed phenotypes .

What are the best approaches for identifying interaction partners of DDB_G0281145?

For identifying interaction partners of transmembrane proteins like DDB_G0281145: (1) Affinity purification coupled with mass spectrometry using appropriate crosslinking agents for transient interactions; (2) Proximity labeling approaches such as BioID or APEX2; (3) Split-protein complementation assays adapted for membrane proteins; (4) Co-immunoprecipitation optimized for membrane proteins using appropriate detergents; (5) Yeast two-hybrid membrane systems specifically designed for transmembrane proteins. When working with Dictyostelium, consider using developmentally synchronized cultures to identify stage-specific interactions .

How can researchers integrate structural prediction tools with experimental data to model DDB_G0281145?

Integration of structural prediction with experimental data requires: (1) Combining hydropathy analysis, machine learning predictions, and evolutionary conservation; (2) Using the TMDET algorithm to determine potential membrane planes; (3) Validating predicted transmembrane segments through mutagenesis or biochemical approaches; (4) Employing AlphaFold or similar AI-based structural prediction tools and refining with experimental constraints; (5) Conducting molecular dynamics simulations in a lipid bilayer environment to assess structural stability. This integrative approach is particularly important for uncharacterized transmembrane proteins where experimental structures are lacking .

What experimental approaches can determine if DDB_G0281145 functions similarly across different developmental stages?

To assess functional conservation across developmental stages: (1) Generate stage-specific promoter constructs to express the protein only during specific developmental phases; (2) Use protein degradation systems triggered at specific developmental transitions; (3) Perform stage-specific RNA interference if applicable; (4) Conduct phosphoproteomics analysis across developmental timepoints to identify regulatory modifications; (5) Compare protein localization and interaction partners across different developmental stages. Dictyostelium's well-defined 24-hour developmental program makes it an excellent model for studying protein function across different cellular states .

How can researchers address the challenge of protein instability when working with recombinant DDB_G0281145?

To address protein instability: (1) Screen multiple expression constructs with different purification tags and tag positions; (2) Optimize growth conditions including temperature, media composition, and induction parameters; (3) Include stabilizing agents such as glycerol, specific lipids, or ligands during purification; (4) Consider fusion partners that enhance stability such as MBP or SUMO; (5) Implement directed evolution approaches to identify more stable variants. For transmembrane proteins specifically, consider reconstitution into nanodiscs or liposomes immediately after purification to provide a native-like membrane environment .

What strategies can overcome difficulties in generating antibodies against DDB_G0281145?

To overcome antibody generation challenges: (1) Identify antigenic regions using epitope prediction algorithms specialized for transmembrane proteins; (2) Focus on hydrophilic loops rather than transmembrane segments; (3) Use synthetic peptides corresponding to predicted extracellular domains; (4) Consider nanobody development as an alternative to conventional antibodies; (5) Express and purify specific domains rather than the full-length protein for immunization; (6) Validate antibody specificity using knockout strains. When working with uncharacterized proteins, epitope tagging may be more reliable than developing specific antibodies .

How can researchers distinguish between functional redundancy and non-essential roles when DDB_G0281145 knockouts show subtle phenotypes?

To address subtle knockout phenotypes: (1) Create double or triple knockouts with proteins of similar sequence or predicted function; (2) Challenge mutant cells with stress conditions that might reveal conditional phenotypes; (3) Perform quantitative phenotyping with high-resolution techniques rather than qualitative assessments; (4) Examine multiple developmental stages and environmental conditions; (5) Use transcriptomics and proteomics to identify compensatory changes in expression of related genes; (6) Implement high-throughput genetic screens as described by Williams et al. to identify synthetic interactions .

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