Recombinant Mouse Fatty acyl-CoA reductase 1 (Far1) is a protein produced through recombinant DNA technology, where the gene encoding Far1 is inserted into a host organism such as yeast, E. coli, or mammalian cells, allowing for the expression and purification of the protein. Far1 is a crucial enzyme involved in the synthesis of ether lipids, which are essential components of cellular membranes and play significant roles in various biological processes, including spermatogenesis and cell signaling.
Far1 is a rate-limiting enzyme in the ether lipid synthesis pathway. It catalyzes the reduction of fatty acyl-CoA to fatty alcohols, which are then used to synthesize ether lipids. These lipids are vital for maintaining membrane structure and function, particularly in tissues like the testes, where they are involved in spermatogenesis. Disruptions in ether lipid synthesis, such as those caused by mutations in the Far1 gene, can lead to severe biological consequences, including infertility and developmental abnormalities .
Recombinant Mouse Far1 is available from various sources, including commercial suppliers who produce it in different expression systems:
Research on Far1 has primarily focused on its role in ether lipid synthesis and its implications for human health. Studies using Far1 knockout mouse models have shown that disruptions in ether lipid synthesis can lead to infertility due to arrested spermatogenesis . The availability of recombinant Far1 allows for further investigation into the biochemical properties of this enzyme and its potential applications in biotechnology and medicine.
Mouse Far1 (gene ID: 67420) is an enzyme that catalyzes the reduction of fatty acyl-CoA substrates to fatty alcohols . It plays a crucial role in the biosynthetic pathway of various lipid molecules, including waxes and ether lipids. Far1 functions by converting long-chain fatty acyl-CoA esters into corresponding fatty alcohols through an NADPH-dependent reductive mechanism. This conversion represents a key step in several lipid biosynthetic pathways .
The enzyme is widely expressed across multiple tissues and is particularly important in lipid metabolism pathways. Far1 contributes to the biosynthesis of fatty alcohols that serve diverse biological roles, including components of cellular membranes, signaling molecules, and specialized lipids found in various tissues .
Far1 shows remarkable evolutionary conservation across numerous species, suggesting its fundamental biological importance. Analysis of sequence homology reveals:
Species | Gene ID | Sequence Similarity to Mouse Far1 |
---|---|---|
Human | 84188 | >90% amino acid identity |
Rat | 293173 | >95% amino acid identity |
Sheep | 101119501 | High conservation |
Chicken | 423028 | Significant conservation |
Zebrafish | 406829 | Moderate conservation |
Thale Cress | 832311 | Conservation in functional domains |
Notably, human and mouse SDF-1α (a signaling protein that can interact with lipid pathways) share 99% sequence identity, highlighting the extreme conservation of proteins involved in these pathways across mammals . The Far1 protein sequence is particularly well-conserved within mammalian species, with bumble bee species FARs from the same ortholog group showing 97.2-99.7% protein sequence identity .
Mouse Far1 is characterized by the following molecular properties:
Molecular Weight: Approximately 8 kDa for the monomeric form (based on related proteins)
Amino Acid Composition: Contains critical domains for substrate binding and catalysis
Protein Structure: Features an NAD(P)H binding domain characteristic of the short-chain dehydrogenase/reductase (SDR) family
Functional Domains: Contains substrate recognition sites that determine fatty acyl chain length specificity
The protein contains key structural motifs that are essential for its catalytic activity, including a Rossmann fold for cofactor binding and substrate recognition domains that determine its specificity for various fatty acyl chain lengths.
To determine the expression pattern of Far1 across mouse tissues:
RT-PCR Analysis: Use tissue-specific RNA extraction followed by reverse transcription and PCR with Far1-specific primers to detect transcript levels across tissues.
Western Blot Analysis: Utilize specific anti-Far1 antibodies (such as rabbit-produced antibodies) to detect protein expression in tissue lysates .
Immunohistochemistry: Apply commercially available antibodies like HPA017322 for tissue localization studies. This approach allows visualization of Far1 expression at the cellular and subcellular levels .
RNA-Seq Analysis: Analyze publicly available transcriptome datasets to compare Far1 expression across different tissues and developmental stages.
Proper normalization against housekeeping genes or proteins is essential for accurate quantitative comparison between tissues.
Optimal expression of recombinant mouse Far1 can be achieved through careful consideration of the following parameters:
Expression System Selection: E. coli has been successfully used for Far1 expression , though yeast expression systems (S. cerevisiae) have shown good results for related FARs .
Expression Vector Design:
Culture Conditions:
Temperature: Lower temperatures (16-20°C) after induction often improve proper folding
Induction timing: Induce at mid-log phase (OD600 ~0.6-0.8)
Media supplements: Consider adding fatty acids that may stabilize the enzyme
Protein Solubility Enhancement:
Co-expression with chaperones may improve folding
Fusion tags (MBP, SUMO) can enhance solubility
Addition of mild detergents during lysis may improve recovery
Research has shown that codon optimization can significantly improve the expression of full-length Far1, as demonstrated in research where synthetic FARs with codon usage optimized for S. cerevisiae showed predominantly full-length protein expression compared to non-optimized versions .
Effective purification of recombinant Far1 typically follows this workflow:
Affinity Chromatography: Using His-tagged Far1 constructs, Ni-NTA affinity chromatography serves as an effective first purification step. Elution can be performed with imidazole gradients (typically 250-300 mM for final elution) .
Size Exclusion Chromatography: To separate monomeric Far1 from aggregates and incomplete translation products that are commonly observed in heterologous expression systems .
Ion Exchange Chromatography: As a polishing step to remove remaining contaminants and achieve higher purity.
Buffer Optimization:
Storage Recommendations:
Western blot analysis using anti-His antibodies should be performed to confirm the identity and integrity of the purified protein .
In vitro assessment of Far1 activity can be conducted using the following approaches:
GC (Gas Chromatography) Analysis:
Spectrophotometric Assays:
Monitor NADPH consumption at 340 nm as an indirect measure of enzymatic activity
Calculate reaction rates under different substrate concentrations
Activity Calculation:
Substrate Specificity Analysis:
Test activity against various chain length fatty acyl-CoAs (C12-C24)
Examine preference for saturated versus unsaturated substrates
Analyze kinetic parameters (Km, Vmax) for different substrates
For example, in research with related FARs, fatty alcohol ratios greater than 50% were observed for most fatty alcohols in labial glands (LGs), with some monounsaturated >C20 fatty alcohols approaching complete conversion (nearly 100%) .
Designing robust experiments to determine Far1 substrate specificity requires:
Substrate Panel Preparation:
Assemble a diverse panel of fatty acyl-CoA substrates varying in:
Chain length (C12-C24)
Degree of unsaturation (saturated, mono-, poly-unsaturated)
Position of unsaturation (Δ9, Δ11, etc.)
Reaction Conditions Optimization:
Buffer composition: Typically 100 mM phosphate buffer pH 7.4
Cofactor concentration: 1-2 mM NADPH (freshly prepared)
Enzyme concentration: 1-5 μg purified Far1 per reaction
Temperature and time: 30°C for 30-60 minutes
Kinetic Parameter Determination:
Conduct time-course experiments to ensure linearity
Perform substrate concentration gradients (typically 1-100 μM)
Calculate Km and Vmax for each substrate
Create Lineweaver-Burk plots to visualize enzyme kinetics
Competition Assays:
Offer multiple substrates simultaneously to determine preference
Analyze product formation ratios when substrates compete
Analytical Methods:
GC analysis of extracted products following derivatization
LC-MS for more sensitive detection of products
Relative quantification against standard curves
Research has shown that heterologous expression in yeast followed by GC analysis is an effective approach for determining substrate specificity of FARs .
Essential controls for Far1 research include:
Negative Controls:
Positive Controls:
Known FAR enzyme with well-characterized activity
Purified commercial enzymes from related pathways
Synthetic standards of expected fatty alcohol products
Expression Controls:
Specificity Controls:
Include related enzymes (e.g., Far2) to distinguish isoform-specific activities
Test structurally related non-substrate molecules
Technical Replicates:
Minimum of three independent biological replicates
Multiple technical replicates within each experiment
When expressing FARs in heterologous systems, western blot analysis is critical to confirm proper expression. Research has shown that without codon optimization, incomplete translation products are commonly observed alongside the expected full-length protein .
Investigating Far1's interactions requires multi-faceted approaches:
Co-Immunoprecipitation (Co-IP):
Use anti-Far1 antibodies to precipitate protein complexes
Analyze co-precipitated proteins by mass spectrometry
Confirm specific interactions with targeted western blots
Yeast Two-Hybrid Screening:
Use Far1 as bait to screen for interacting proteins
Focus on candidate enzymes from related metabolic pathways
Proximity Labeling Approaches:
BioID or APEX2 fusions to identify proteins in close proximity to Far1
Temporal analysis to detect transient interactions
Functional Enzyme Coupling Assays:
Design assays where Far1 activity is coupled to upstream or downstream enzymes
Measure product formation in coupled versus uncoupled reactions
Analyze kinetic coupling effects
Metabolic Flux Analysis:
Trace isotope-labeled substrates through the pathway
Compare flux with and without Far1 inhibition or overexpression
Identify rate-limiting steps and regulatory points
Research indicates that fatty alcohol biosynthesis involves complex enzyme interactions, with in vivo specificity differing from isolated enzyme activity , highlighting the importance of studying Far1 in its pathway context.
Fatty alcohol ratios provide insight into the in vivo specificity and efficiency of Far1:
Calculation Method:
The fatty alcohol ratio is calculated using the equation:
Fatty alcohol ratio (%) = [Quantity of specific fatty alcohol / Quantity of hypothetical fatty acyl precursors] × 100%
Interpretation Guidelines:
Ratios >50%: Indicate high conversion efficiency
Ratios approaching 100%: Suggest near-complete conversion of precursors
Varying ratios across chain lengths: Reflect substrate preferences
Comparative Analysis:
Compare ratios between different fatty alcohol species to determine substrate preferences
Analyze differences between in vitro and in vivo ratios to identify potential regulatory mechanisms
Visualization Methods:
Plot ratios against carbon chain length to visualize preference patterns
Use heat maps to compare ratios across different conditions or enzyme variants
Research has shown that in labial glands (LGs), fatty alcohol ratios exceed 50% for most fatty alcohols and approach 100% for some monounsaturated >C20 fatty alcohols, suggesting highly efficient conversion in these tissues .
Resolving contradictions in substrate specificity findings requires systematic investigation:
Source of Contradiction Analysis:
Examine differences in experimental conditions:
Expression systems (bacterial vs. yeast vs. mammalian cells)
Enzyme preparation methods (purification tags, buffers)
Assay conditions (pH, temperature, cofactor concentration)
Consider post-translational modifications present in different systems
Methodological Approaches:
Perform side-by-side comparisons using standardized methods
Use multiple analytical techniques (GC, LC-MS) to confirm findings
Validate with both in vitro and cellular assays
Protein Structure Considerations:
Investigate if protein truncation or tagging affects activity
Examine if variants or isoforms were used in different studies
Consider the effect of oligomerization state on activity
Data Integration Strategies:
Meta-analysis of multiple studies with weighted confidence scores
Bayesian approaches to reconcile contradictory findings
Collaborative validation across different laboratories
Research demonstrates that heterologous expression can lead to variations in protein functionality, with factors like codon optimization significantly affecting enzyme production and activity .
Low activity of recombinant Far1 may stem from several factors:
Expression-Related Issues:
Incomplete translation: Western blot analysis often reveals multiple protein bands of lower molecular weight than the full-length Far1, indicating truncated products
Protein aggregation: Higher molecular weight bands on western blots may represent aggregated Far1 proteins
Codon usage: Non-optimized codons can cause ribosome stalling and incomplete translation
Folding and Structural Problems:
Improper folding in heterologous systems
Incorrect disulfide bond formation
Incomplete post-translational modifications
Cofactor Availability:
Insufficient NADPH in the expression system
Suboptimal redox environment
Substrate Accessibility:
Limited substrate uptake by cells
Compartmentalization issues preventing substrate-enzyme interaction
Solution Approaches:
Research clearly demonstrates that codon-optimized synthetic versions of FARs show significantly improved expression patterns with predominant full-length protein production compared to non-optimized versions .
Codon optimization significantly improves Far1 expression through several mechanisms:
Research demonstrates that the shortened heterologously expressed proteins observed in western blots presumably represent incompletely transcribed versions of full-length FARs resulting from ribosome stalling, a problem effectively addressed through codon optimization .
Engineered Far1 variants offer several promising research and biotechnological applications:
Biofuel Production Enhancement:
Engineering Far1 variants with improved activity toward specific fatty acid chain lengths could enhance production of fatty alcohols used in biofuel applications
Variants with increased thermostability and solvent tolerance would be valuable for industrial processes
Metabolic Engineering Tools:
Modified Far1 variants can serve as key enzymes in synthetic pathways for production of specialty chemicals
Substrate specificity-altered variants could enable production of novel fatty alcohol derivatives
Biomedical Applications:
Far1 variants as potential therapeutic targets for lipid metabolism disorders
Development of inhibitors or activators for specific Far1 variants could modulate lipid metabolism pathways
Research Tools:
Reporter-fused Far1 variants for studying lipid metabolism in real-time
Tagged variants for identification of interaction partners and regulatory mechanisms
Temperature-sensitive variants for conditional studies
The FAR gene family has undergone significant expansion through evolution, suggesting adaptability to different biochemical contexts and substrates , which provides a foundation for engineering variants with novel properties.
Emerging technologies poised to transform Far1 research include:
Structural Biology Advancements:
Cryo-EM for high-resolution structure determination of Far1 complexes
AlphaFold2 and related AI approaches for structure prediction and rational engineering
Time-resolved crystallography to capture catalytic intermediates
High-Throughput Screening Platforms:
Droplet microfluidics for rapid screening of Far1 variants
Cell-free expression systems coupled with activity assays
Multiplexed activity assays for simultaneous testing of multiple substrates
Genome Editing Tools:
CRISPR-Cas9 for precise genomic editing to study Far1 function in vivo
Base editing for introducing specific amino acid changes without double-strand breaks
Prime editing for precise modification of Far1 sequences
Systems Biology Approaches:
Multi-omics integration to place Far1 in broader metabolic networks
Machine learning models to predict Far1 activity based on substrate structures
Metabolic flux analysis to understand Far1's role in lipid homeostasis
These technologies will enable more comprehensive understanding of Far1 structure-function relationships and its integration in cellular metabolism.