Recombinant Danio rerio YIPF5 is a full-length protein (1-257 amino acids) fused with an N-terminal His tag for purification, expressed in Escherichia coli . The YIPF5 gene (UniProt ID: Q6P5I8) encodes a member of the Yip1 domain family, which is evolutionarily conserved across species, including humans, mice, and zebrafish . Synonyms for this protein include SMAP-5, zgc:56513, and zgc:77939, reflecting its historical identification in genetic studies .
YIPF5 facilitates transport between the ER and Golgi, acting as a Rab GTPase-interacting factor . While specific pathways remain under investigation, it is implicated in:
Vesicle budding and fusion: Mediates cargo protein sorting.
Membrane trafficking: Maintains Golgi structural integrity .
| Function | Associated Proteins |
|---|---|
| Molecular Function | LINGO3, UFSP1, LRRC8E, VPS51 |
| Transport Regulation | Rab GTPases (implied by structural homology) |
Recombinant YIPF5 is a key reagent in diverse experimental workflows:
Antibody Development: Polyclonal antibodies against YIPF5 are validated for Western blot (WB), immunohistochemistry (IHC), and ELISA .
Mechanistic Studies: Used to elucidate ER-Golgi transport defects in model organisms .
Diagnostic Assays: Commercial ELISA kits utilize this protein for quantitative analyses .
| Application | Host | Reactivity | Catalog Number |
|---|---|---|---|
| WB, IHC (p) | Rabbit | Human, Mouse | ABIN653506 |
| ELISA, IF | Rabbit | Human | ABIN7166346 |
| WB | Rabbit | Zebrafish, Xenopus | ABIN6747764 |
Current research gaps include elucidating YIPF5’s role in disease models, such as neuromuscular disorders linked to ER-Golgi dysregulation. Further structural studies using cryo-EM could reveal mechanistic details of its transmembrane domains .
Plays a role in transport between the endoplasmic reticulum and Golgi apparatus.
YIPF5 (Yip1 domain family member 5) is a multi-span transmembrane protein primarily localized in the Golgi apparatus. In zebrafish (Danio rerio), it plays a role in membrane trafficking pathways and is also known as SMAP-5, zgc:56513, and zgc:77939 . The protein contains approximately 257 amino acids and has multiple hydrophobic segments with scattered hydrophilic residues on the C-terminal side .
Structural analysis reveals that YIPF5, like other YIPF family proteins, likely has five transmembrane helices with an N-terminal cytoplasmic region and a short C-terminal region exposed to the lumen of the Golgi apparatus . The conservation of the transmembrane region is a defining characteristic of the Yip1 domain, while the N- and C-terminal regions are less conserved.
YIPF5 belongs to the Yip1 domain family (YIPF) of proteins that have been identified across virtually all eukaryotes, suggesting essential conserved functions . The family originated with Yip1p and Yif1p in Saccharomyces cerevisiae, which have paralogs Yip4p and Yip5p, respectively.
The most common expression system for producing recombinant Danio rerio YIPF5 is E. coli, although alternative systems include yeast, baculovirus, and mammalian cells . When expressing in E. coli, the full-length protein (amino acids 1-257) can be fused with an N-terminal His tag to facilitate purification .
For successful expression in E. coli, consider these methodological approaches:
Codon optimization: Since rare codons in E. coli can slow protein production, optimizing the codon usage for E. coli is recommended .
Temperature and induction conditions: Expression at lower temperatures (16-25°C) after induction may help prevent inclusion body formation.
Fusion tags: Beyond His tags, other fusion partners like GST, MBP, or SUMO can increase solubility.
Chaperone co-expression: Co-expressing molecular chaperones can enhance proper folding of the recombinant protein .
Several factors significantly influence the successful expression of recombinant YIPF5:
mRNA accessibility of translation initiation sites: Research has demonstrated that the accessibility of translation initiation sites, modeled using mRNA base-unpairing across Boltzmann's ensemble, is a critical determinant of expression success. This factor outperforms alternative features like minimum free energy (MFE) or codon adaptation index (CAI) .
Synonymous codon substitutions: Even minimal changes in the first nine codons through synonymous substitutions can significantly impact expression levels by altering mRNA accessibility .
Expression host compatibility: Different hosts have varying capacities to express membrane proteins like YIPF5. The table below compares expression systems:
| Expression System | Advantages | Challenges for YIPF5 |
|---|---|---|
| E. coli | Fast growth, high yield, economical | Proper folding of transmembrane domains |
| Yeast | Post-translational modifications, membrane protein capability | Longer production time |
| Baculovirus | Better folding for complex proteins | More expensive, technically demanding |
| Mammalian | Native-like folding and modifications | Lowest yield, highest cost |
Verifying the predicted five-transmembrane topology of YIPF5 requires multiple complementary approaches:
Protease protection assays: By selectively permeabilizing either the plasma membrane or the Golgi membrane, followed by protease treatment, the orientation of specific domains can be determined based on their accessibility to proteolysis.
Site-directed mutagenesis with epitope tagging: Insert epitope tags (e.g., FLAG, HA, or Myc) at predicted loops and termini, then detect their accessibility using membrane-permeable or impermeable reagents.
Glycosylation site insertion: Engineer N-glycosylation sites at predicted luminal domains. Glycosylation will only occur if the domain is in the lumen.
Fluorescence techniques: Methods like FRET (Förster Resonance Energy Transfer) can provide information about spatial relationships between domains.
Based on previous analysis, YIPF5 proteins are predicted to have an odd number of transmembrane segments, most likely five, with the N-terminal region exposed to the cytoplasm and the C-terminal region in the Golgi lumen .
To investigate YIPF5 function in zebrafish, consider these methodological approaches:
Morpholino knockdown experiments: Design antisense morpholinos targeting YIPF5 mRNA to observe loss-of-function phenotypes during development.
CRISPR/Cas9 gene editing: Generate stable knockout or knock-in zebrafish lines to study long-term effects of YIPF5 disruption or modification.
RNA expression analysis: Use qPCR to quantify expression levels in different tissues and developmental stages. The method below has been successfully used for other zebrafish genes :
Extract RNA using a system like ReliaPrep RNA Miniprep
Treat with DNase I
Synthesize cDNA using a kit like iScript cDNA Synthesis kit
Perform qPCR using primers specific to YIPF5
Normalize with reference genes like ef1α, β-actin, and gapdh
In situ hybridization: To visualize spatial expression patterns in tissues, following protocols similar to those used for other zebrafish genes .
Subcellular localization: Use GFP fusion proteins or immunohistochemistry to determine precise localization within cells.
Comparing Danio rerio YIPF5 with mammalian orthologs reveals important evolutionary insights:
Sequence conservation: Alignment studies show moderate sequence identity between zebrafish YIPF5 and human YIPF5. The most conserved region is the transmembrane domain (Yip1 domain), while N- and C-terminal regions show greater divergence .
Expression patterns: Both zebrafish and mammalian YIPF5 are broadly expressed with enrichment in specific tissues. In zebrafish, YIPF5 shows similar tissue distribution patterns to mammalian orthologs, suggesting conserved functions .
Cellular localization: Both zebrafish and mammalian YIPF5 primarily localize to the Golgi apparatus, with some presence in the ER-Golgi intermediate compartment (ERGIC).
Functional conservation: The role in membrane trafficking and vesicular transport appears to be conserved across species, though zebrafish-specific functions may exist that haven't been fully characterized.
Zebrafish often have multiple paralogs of single mammalian genes due to a teleost-specific genome duplication event. Analysis of YIPF family gene duplications provides insights into functional evolution:
Gene duplication patterns: Similar to how yeast Yip1p and Yif1p have paralogs (Yip4p and Yip5p), zebrafish may have additional YIPF5 paralogs with divergent functions .
Expression divergence: When paralogs exist, they often show differential expression patterns. For example, in the case of inpp5ka and inpp5kb (another duplicated gene pair in zebrafish), while both follow similar developmental expression trends, inpp5ka is much more abundantly expressed in tissues than inpp5kb .
Functional divergence: Paralog analysis can reveal subfunctionalization or neofunctionalization. For instance, in the inpp5k paralogs, inpp5kb has lost its catalytic activity against its preferred substrate, PtdIns(4,5)P2, demonstrating functional divergence after duplication .
To identify YIPF5 interaction partners in zebrafish, several complementary approaches can be employed:
Pull-down assays with recombinant YIPF5: Use purified His-tagged YIPF5 as bait to capture interacting proteins from zebrafish tissue lysates. The bound proteins can be identified by mass spectrometry.
Yeast two-hybrid screening: Generate a zebrafish cDNA library and screen for interactions with YIPF5 as bait.
Co-immunoprecipitation (Co-IP): Use antibodies against YIPF5 to precipitate the protein along with its binding partners from zebrafish tissues or cells.
Proximity labeling: Techniques like BioID or APEX2 fusion to YIPF5 can be used to biotinylate proximal proteins in living cells, which can then be purified and identified.
Cross-linking mass spectrometry: This approach can identify interacting proteins and provide information about the interaction interface.
Based on studies in other organisms, potential interacting partners to investigate include Rab GTPases, COPI and COPII coats, and components of vesicle tethering complexes like COG, TRAPP, and GARP .
Post-translational modifications (PTMs) can significantly affect YIPF5 function, and multiple methods can be employed to study them:
Mass spectrometry-based approaches: Use targeted or shotgun proteomics to identify PTMs on recombinant or endogenous YIPF5.
Site-directed mutagenesis: Mutate potential modification sites and observe changes in localization, function, or interaction partners.
Phosphorylation-specific antibodies: Generate or obtain antibodies that recognize specific phosphorylated residues on YIPF5.
In vitro modification assays: Use purified recombinant YIPF5 and specific modification enzymes to characterize potential modifications.
Understanding PTMs is crucial as they likely regulate YIPF5's membrane association, trafficking, or interaction with binding partners in a temporal or spatial manner.
As a multi-span transmembrane protein, YIPF5 presents several production challenges:
Membrane protein solubility: The hydrophobic transmembrane domains tend to cause aggregation and inclusion body formation. Solutions include:
Proper folding: Ensuring correct folding of transmembrane domains in heterologous systems is difficult. Approaches include:
Using eukaryotic expression systems for more complex proteins
Including appropriate lipids in purification buffers
Exploring cell-free expression systems with added microsomes
Expression toxicity: Overexpression of membrane proteins can be toxic to host cells. Strategies include:
Using tightly controlled inducible promoters
Testing different expression strains
Optimizing induction conditions
Verifying the functionality of purified recombinant YIPF5 requires multiple approaches:
Structural integrity assessment:
Circular dichroism (CD) spectroscopy to analyze secondary structure
Size-exclusion chromatography to confirm monodispersity
Native PAGE to assess oligomeric state
Binding assays:
Surface plasmon resonance (SPR) with known or predicted binding partners
Pull-down assays with potential interactors
Liposome binding assays to verify membrane association
Activity assays:
In vitro vesicle budding assays
Reconstitution into liposomes to study membrane integration
Complementation assays in YIPF5-deficient cells
Localization studies in model systems:
Introduce fluorescently tagged recombinant YIPF5 into zebrafish cells
Verify proper Golgi localization using confocal microscopy
Zebrafish YIPF5 can serve as a valuable model for studying human YIPF5-related conditions through several approaches:
Generation of disease-specific mutations: Create zebrafish lines with mutations corresponding to human disease variants using CRISPR/Cas9 gene editing.
Phenotypic analysis: Characterize developmental, morphological, and functional consequences of YIPF5 disruption in zebrafish, which could reveal relevant disease mechanisms.
High-throughput screening: Utilize zebrafish embryos for screening compounds that might rescue YIPF5-related phenotypes, as demonstrated in other zebrafish disease models .
Tissue-specific analysis: Investigate tissue-specific effects of YIPF5 disruption, particularly in tissues relevant to human disease.
The zebrafish model offers several advantages for this research, including optical transparency of embryos, rapid development, and ease of genetic manipulation .
Advanced imaging techniques for studying YIPF5 trafficking in live zebrafish cells include:
Super-resolution microscopy: Techniques like STORM, PALM, or STED overcome the diffraction limit to visualize YIPF5 localization with nanometer precision.
Live-cell imaging with photoactivatable fluorescent proteins: Use photoactivatable or photoconvertible fluorescent protein fusions to track YIPF5 movement in real-time.
Fluorescence recovery after photobleaching (FRAP): Measure YIPF5 mobility within membranes by photobleaching a region and monitoring fluorescence recovery.
Fluorescence correlation spectroscopy (FCS): Analyze YIPF5 diffusion and interaction dynamics in membranes at single-molecule resolution.
Optogenetic approaches: Use light-controlled protein interactions to manipulate YIPF5 function with spatiotemporal precision in specific cells or tissues.
Light sheet microscopy: Enables long-term imaging of developing zebrafish with minimal phototoxicity, useful for tracking YIPF5 dynamics during embryonic development.
These techniques, combined with the genetic tractability and optical transparency of zebrafish, provide powerful tools for understanding the dynamic behavior of YIPF5 in vivo.
Several bioinformatic approaches can help predict the functional consequences of YIPF5 mutations:
Evolutionary conservation analysis: Identify highly conserved residues across species using multiple sequence alignments, which are likely functionally important.
Structural modeling: Generate 3D models using tools like AlphaFold2 or homology modeling to predict how mutations might affect protein structure.
Molecular dynamics simulations: Simulate the behavior of wild-type and mutant proteins to understand potential structural and dynamic changes.
Machine learning-based prediction tools: Use algorithms trained on known mutation effects to predict the impact of novel variants.
Network analysis: Examine how mutations might affect YIPF5's interactions with other proteins in membrane trafficking pathways.
For membrane proteins like YIPF5, special attention should be paid to mutations in transmembrane regions or at interfaces with the membrane or other proteins.
Integrating multi-omics data provides a comprehensive understanding of YIPF5 function:
Transcriptomics: RNA-seq to profile gene expression changes in YIPF5-modified zebrafish, identifying pathways affected by YIPF5 perturbation.
Proteomics: Mass spectrometry to identify and quantify proteins affected by YIPF5 manipulation, including potential interacting partners.
Interactomics: Techniques like BioID or AP-MS to map the YIPF5 interaction network in different tissues or developmental stages.
Phosphoproteomics: Identify signaling pathways affected by YIPF5 through changes in protein phosphorylation patterns.
Glycomics: Assess if YIPF5 perturbation affects glycosylation patterns, given its location in the Golgi apparatus.
Data integration: Use computational frameworks to integrate these datasets, identifying convergent evidence for YIPF5 functions and placing it within cellular pathways.