Retsat (retinol saturase) is an NADH/NADPH-dependent oxidoreductase that specifically saturates the 13-14 double bond of all-trans-retinol to produce all-trans-13,14-dihydroretinol (all-trans-DROL). This enzymatic activity is substrate-specific, as Retsat does not use all-trans-retinoic acid nor 9-cis, 11-cis, or 13-cis-retinol isomers as substrates .
For in vitro measurement of Retsat activity, researchers typically employ:
Enzyme assays using recombinant purified Retsat protein with all-trans-retinol as substrate
HPLC analysis to separate and quantify the conversion of all-trans-retinol to all-trans-13,14-dihydroretinol
LC-MS/MS methods for more sensitive detection of dihydroretinoid metabolites
Spectrophotometric assays measuring NAD(P)H consumption during the reaction
The enzyme contains a critical FAD/NAD dinucleotide-binding motif essential for its catalytic activity, and mutation of this motif abolishes enzymatic function .
Retsat shows a tissue-specific expression pattern with significant regulation under various physiological conditions:
Tissue distribution:
Highest expression: liver, kidney, adipose tissue, and intestine
Moderate expression: brain, heart, and lung
Within adipose tissue: expressed predominantly in adipocytes rather than stromal vascular fraction
Physiological regulation:
Cold exposure: Significantly upregulated in brown adipose tissue (BAT) and white adipose tissue (WAT)
β-adrenergic stimulation: Strongly induced in adipocytes through β-adrenergic signaling pathways
Obesity: Downregulated in white adipose tissue in both diet-induced and genetic obesity models
Thiazolidinedione treatment: Increases Retsat expression in adipose tissue of obese mice
| Condition | Effect on Retsat Expression | Tissue |
|---|---|---|
| Cold exposure | Upregulation | BAT, WAT |
| β-adrenergic activation | Upregulation | Adipocytes |
| Obesity | Downregulation | WAT |
| Thiazolidinedione treatment | Upregulation | Adipose tissue of obese mice |
Quantification methods include qRT-PCR for mRNA expression, Western blotting for protein levels, and ELISA for precise protein quantification in tissue homogenates and cell lysates .
Several experimental models have proven effective for investigating Retsat's role in adipogenesis:
In vitro models:
3T3-L1 preadipocyte differentiation: Standard model where Retsat expression increases during differentiation
Primary mouse embryonic fibroblasts (MEFs): Can be differentiated into adipocytes and allow for genetic manipulation
Brown adipocyte cell lines: Useful for studying Retsat's role in thermogenic adipocytes
Genetic manipulation approaches:
siRNA or shRNA knockdown: For acute depletion of Retsat
CRISPR/Cas9 gene editing: For complete knockout or introducing specific mutations (e.g., in the FAD/NAD binding motif)
Retroviral/lentiviral overexpression: For gain-of-function studies
Key experimental findings:
Ablation of Retsat dramatically inhibits adipogenesis
Ectopic expression of Retsat with intact FAD/NAD dinucleotide-binding motif promotes adipogenesis
Retsat is not required for adipogenesis when exogenous PPARγ ligands are provided
When designing experiments, researchers should consider that Retsat appears to have functions beyond its enzymatic activity, as supplementation with dihydroretinol (the product of Retsat) fails to rescue the adipogenic defect in Retsat-depleted cells .
For optimal purification and characterization of recombinant mouse Retsat:
Expression systems:
E. coli: For high yield but may require refolding due to membrane association
Insect cells (Sf9, High Five): Better for obtaining properly folded protein with post-translational modifications
Mammalian cells (HEK293, CHO): For most native-like protein structure and modifications
Purification strategy:
Add an N-terminal tag (His, GST, or FLAG) after the ER signal peptide to avoid interference with localization
Use detergent solubilization (e.g., CHAPS, DDM) since Retsat is an ER membrane-associated protein
Employ affinity chromatography followed by size exclusion chromatography for higher purity
Characterization methods:
Enzymatic activity assay: Using all-trans-retinol as substrate and monitoring product formation by HPLC
Binding assays: For cofactor (NAD/NADPH) and substrate binding analyses
Circular dichroism: To assess secondary structure integrity
Thermal shift assay: To determine protein stability under various conditions
Critical considerations:
Include FAD/NAD in buffers to stabilize the enzyme
Store with reducing agents to prevent oxidation of critical cysteine residues
Consider using recombinant fragments (like aa 333-451) as controls for antibody validation
Mutations in the FAD/NAD dinucleotide-binding motif have profound effects on Retsat function:
Structural implications:
The FAD/NAD binding motif is essential for cofactor binding and catalytic activity
In recent computational studies, NADH was identified as the optimal cofactor for Retsat
Functional consequences of mutations:
Complete loss of enzymatic activity: Mutated Retsat fails to convert all-trans-retinol to all-trans-13,14-dihydroretinol
Abolished promotion of adipogenesis: Unlike wild-type Retsat, the mutated form cannot enhance adipocyte differentiation
Reduced PPARγ activation: Mutations prevent Retsat from increasing endogenous PPARγ transcriptional activity
Naturally occurring mutations:
The Q247R mutation, observed in Qinghai-Tibet Plateau mammals as an adaptation to hypoxia, shows altered functionality
This mutation inhibits tumor growth in vivo and may represent a gain-of-function mutation
Researchers can engineer specific mutations in the FAD/NAD binding motif using site-directed mutagenesis to investigate structure-function relationships. When expressed in cells, these mutants can be compared to wild-type Retsat for enzymatic activity, subcellular localization, and effects on downstream pathways .
To investigate Retsat's function in thermogenesis, researchers can employ these methodologies:
In vivo approaches:
BAT-specific Retsat knockout mice: Generated using Cre-lox system with UCP1-Cre or similar BAT-specific promoters
Cold exposure experiments: Testing acute (4-6 hours) and chronic (days to weeks) cold tolerance at 4°C
Metabolic phenotyping: Measuring oxygen consumption, CO2 production, and heat generation in metabolic chambers
Norepinephrine or CL-316,243 (β3-adrenergic agonist) injection: To assess β-adrenergic response
Ex vivo and in vitro methods:
Primary brown adipocyte isolation and differentiation: From interscapular BAT
Oxygen consumption measurements: Using Seahorse XF analyzers to assess mitochondrial respiration
Lipolysis assays: Measuring glycerol and free fatty acid release upon β-adrenergic stimulation
Thermogenic gene expression analysis: qRT-PCR for UCP1, PGC1α, PRDM16, etc.
Key experimental findings:
RetSat expression is induced by β-adrenergic signaling and cold exposure
Loss of RetSat in brown adipocytes reduces thermogenic gene expression
Mice lacking RetSat in BAT have impaired acute cold tolerance
RetSat depletion interferes with lipolysis in both brown and white adipocytes
These methodologies allow for comprehensive evaluation of Retsat's role in adaptive thermogenesis from molecular to organismal levels.
Distinguishing between enzymatic and non-enzymatic functions of Retsat requires specialized experimental approaches:
Experimental strategies:
Enzyme-dead mutants:
Generate Retsat with mutations in the FAD/NAD binding motif that abolish enzymatic activity but maintain protein structure
Compare effects of wild-type vs. enzyme-dead Retsat on cellular phenotypes
Metabolite supplementation experiments:
Add all-trans-13,14-dihydroretinol (Retsat's enzymatic product) to Retsat-depleted cells
Phenotypes rescued by dihydroretinol are likely dependent on enzymatic activity
Notably, supplementation with dihydroretinol failed to rescue adipogenesis in Retsat-depleted cells, suggesting non-enzymatic functions
Protein-protein interaction studies:
Subcellular localization experiments:
Fluorescent tagging and microscopy to determine if enzymatic activity affects localization
Subcellular fractionation to isolate ER-associated vs. other cellular pools of Retsat
Research findings showing dual functions:
Retsat's role in PPARγ activation appears independent of its enzymatic product
Retsat's function in ferroptosis involves both enzymatic activity (converting retinol to less protective dihydroretinol) and potential non-enzymatic effects on lipid metabolism
Retsat demonstrates complex roles in cancer biology that can be investigated through several approaches:
Current understanding:
Retsat is mostly downregulated in multiple types of human cancers
Lower Retsat expression correlates with worse clinical outcomes in skin cutaneous melanoma (SKCM)
The Q247R mutation in Retsat inhibits tumor growth in vivo
Methylation of the Retsat promoter is increased in cancer tissues
Retsat expression positively correlates with immune cell infiltration in tumors
Proposed mechanisms:
Inhibition of Pin1-related signaling pathway
Reduction of phosphorylated Akt1 levels
Investigation methodologies:
Expression analysis in human cancers:
Mining TCGA, GEO, and other public databases
IHC staining of tissue microarrays
qRT-PCR and Western blot of tumor vs. normal tissues
Functional studies:
Epigenetic regulation:
Signaling pathway analysis:
Retsat plays a significant role in ferroptosis regulation through retinoid metabolism:
Mechanistic insights:
Retsat promotes ferroptosis by transforming retinol to 13,14-dihydroretinol
This conversion changes a strong anti-ferroptosis regulator (retinol) into a relatively weak one (dihydroretinol)
Retinoids (retinol, retinal, retinoic acid) act as radical-trapping antioxidants that protect lipid membranes
Additionally, retinoic acid activates stearoyl-CoA desaturase transcription via nuclear receptors, promoting monounsaturated fatty acid production and ferroptosis resistance
Experimental approaches to study Retsat in ferroptosis:
Cell viability assays:
Treating Retsat-depleted vs. control cells with ferroptosis inducers (erastin, RSL3, etc.)
Rescue experiments with ferroptosis inhibitors (ferrostatin-1, liproxstatin-1)
Supplementation with retinoids or dihydroretinoids to assess their protective effects
Lipid peroxidation measurements:
C11-BODIPY or PEROX-H2 fluorescent probes for live-cell imaging
MDA or 4-HNE assays for fixed endpoint measurements
Lipidomics to profile oxidized phospholipid species
Mechanistic studies:
Retinoid metabolism tracking:
LC-MS/MS to quantify retinol, dihydroretinol, retinoic acid, and dihydroretinoic acid
Isotope-labeled retinol tracing to follow metabolic conversion rates
For researchers entering this field, combining genetic manipulation of Retsat with comprehensive ferroptosis phenotyping and metabolite analysis offers the most thorough approach to understanding its role in this cell death pathway.
The relationship between Retsat and PPARγ signaling can be studied through several complementary approaches:
Established relationship:
RetSat is directly regulated by PPARγ as a transcriptional target
RetSat with intact FAD/NAD dinucleotide-binding motif increases endogenous PPARγ transcriptional activity
RetSat is not required for adipogenesis when cells are provided with exogenous PPARγ ligands
RetSat expression in adipose tissue is increased by thiazolidinedione treatment (PPARγ agonists)
Investigation methodologies:
Transcriptional regulation:
ChIP assays to confirm PPARγ binding to RetSat promoter
Luciferase reporter assays with wild-type and mutated RetSat promoter constructs
Analysis of RetSat expression after treatment with various PPARγ agonists/antagonists
RetSat effects on PPARγ activity:
PPARγ-responsive element (PPRE) luciferase reporter assays in cells with:
RetSat overexpression (wild-type vs. enzyme-dead mutants)
RetSat knockdown or knockout
qRT-PCR of PPARγ target genes (e.g., aP2, CD36, adiponectin)
Co-immunoprecipitation to detect potential physical interactions
Metabolite studies:
Determine if RetSat-generated metabolites activate PPARγ using:
Ligand binding assays with purified PPARγ ligand-binding domain
Competitive displacement assays with known PPARγ ligands
Structural studies (e.g., X-ray crystallography) of PPARγ with RetSat metabolites
Functional studies in adipocytes:
These approaches can help elucidate whether RetSat's effects on PPARγ signaling are mediated through its enzymatic activity, protein-protein interactions, or other mechanisms, providing crucial insights into adipocyte differentiation and function.