ACSF2 activates medium-chain fatty acids (e.g., hexanoic acid (C6:0) to decanoic acid (C10:0)) via thioesterification with coenzyme A (CoA). Key enzymatic parameters include:
Substrate | Apparent Km (μM) | Apparent Vmax (nmol/20 min/mg protein) |
---|---|---|
C10:0 | 24.4 | 385 |
This activity is dependent on a conserved lysine residue (K599 in mice, homologous in humans), critical for catalytic function. Mutating this residue abolishes enzymatic activity .
ACSF2 is ubiquitously expressed but shows cell-type-specific protein levels:
Tissue/Cell Type | Expression Level | Localization |
---|---|---|
Neuronal cells | High | Golgi apparatus |
Liver (HepG2) | Moderate | Mitochondria |
Skin fibroblasts | Low | Cytosol |
Regulatory factors influencing ACSF2 expression include:
Upregulation: Retinoic acid (neuronal differentiation) , dexamethasone .
Downregulation: Benzo[a]pyrene (epigenetic silencing) , cisplatin .
ACSF2 is essential for neurite outgrowth during neuronal differentiation. Knockdown in Neuro2a cells reduces retinoic acid-induced neurite extension by 40–60%, correlating with disrupted synaptophysin localization .
ACSF2 expression is modulated by environmental toxins:
In HCC, ACSF2 expression strongly correlates with immune infiltration:
Immune Cell Type | Correlation Coefficient (ρ) | p-value |
---|---|---|
Macrophages | 0.33 | 4.15 × 10<sup>−10</sup> |
Neutrophils | 0.40 | 8.27 × 10<sup>−15</sup> |
CD8+ T cells | 0.15 | 4.53 × 10<sup>−3</sup> |
This suggests ACSF2 may influence tumor-immune crosstalk via lipid metabolism .
ACSF2 functions as a medium-chain acyl-CoA synthetase that preferentially activates saturated fatty acids containing 6 to 10 carbons. This has been established through overexpression studies in COS-1 cells, where the enzyme demonstrated an apparent Km of 24.4 μM for C10:0 fatty acid and Vmax of 385 nmol/20min/mg protein . To validate this function, researchers have employed RNA interference techniques showing that ACSF2 is responsible for most medium-chain ACS activity in Neuro2a cells .
Methodologically, ACSF2 activity can be assessed through:
Radioisotope-based assays using 14C-labeled fatty acids
HPLC detection of CoA derivatives
Coupled enzymatic assays measuring AMP or PPi production
Comparative analysis with known ACS family members
ACSF2 contains a conserved AMP-binding domain essential for its catalytic activity. A critical lysine residue (K599 in mouse ACSF2) has been identified as crucial for enzyme function; mutation of this residue to alanine abolishes activity completely .
Multiple splice variants have been identified across species. In geese, four alternative splice variants (ACSF2-1, ACSF2-2, ACSF2-3, and ACSF2-4) have been characterized with coding regions of 1770, 1692, 1599, and 1917 bp, encoding proteins of 589, 563, 532, and 638 amino acids respectively, all retaining the conserved AMP-binding sites .
For structural studies, researchers commonly employ:
Site-directed mutagenesis using PCR-based overlap extension
Sequence alignment across species
Domain prediction software
Homology modeling based on related ACS enzymes
ACSF2 shows broad tissue distribution with variable expression levels. mRNA expression has been detected in most tissues, although immunohistochemical analysis reveals differences in protein expression between various cell types within each tissue .
In heart tissue, ACSF2 is highly expressed along with other ACS genes including ACSL1, ACSL4, ACSS1, and ACSS2 . The expression pattern of ACSF2 variants can be tissue-specific; for example, in geese, the ACSF2-2 transcript was not detected in hypothalamus, pituitary gland, and granulosa cells, while other variants showed broader expression .
Methodological approaches for studying tissue distribution include:
RT-PCR or RNA-seq for mRNA expression analysis
Western blotting for protein quantification
Immunohistochemistry for cellular and subcellular localization
Comparative expression analysis across developmental stages
ACSF2 exhibits variable subcellular localization depending on the cell type. In Neuro2a and P19 cells, endogenous ACSF2 localizes to the Golgi region, and this localization is disrupted by nocodazole treatment, confirming Golgi association . In contrast, MA-10, HepG2, and skin fibroblasts show mitochondrial localization of ACSF2 . In goose cells, subcellular localization studies have identified ACSF2 as a mitochondrial matrix protein .
Computational prediction tools such as WoLF PSORT have also classified ACSF2 as mitochondrial in various species .
Methods for determining subcellular localization include:
Immunofluorescence with organelle-specific markers
Subcellular fractionation followed by Western blotting
Expression of tagged fusion proteins
Organelle disruption studies (e.g., nocodazole treatment)
Several approaches have been validated for effectively modulating ACSF2 function in experimental models:
Genetic modulation:
RNA interference: siRNA targeting bp 8-27 of mouse ACSF2 coding sequence has proven effective for transient knockdown
Stable knockdown: shRNA expression vectors with antibiotic selection (e.g., Hygromycin at 300 mg/ml) for generating stable cell lines
Overexpression: Full-length cDNA clones in appropriate mammalian expression vectors
Site-directed mutagenesis: Particularly targeting the critical lysine residue (K599) for structure-function studies
Functional assessment:
Enzyme activity assays comparing wild-type and modified ACSF2
Metabolic profiling using lipidomics or metabolomics
Phenotypic analysis in relevant cell models (e.g., neurite outgrowth in Neuro2a cells)
Isotope labeling to track metabolic flux changes
ACSF2 plays a significant role in neuronal development, particularly in neurite outgrowth and potentially synapse formation. When Neuro2a cells are induced to differentiate with retinoic acid, ACSF2 migrates to nodes and points of neurite-neurite contact, co-localizing with the presynaptic marker synaptophysin .
ACSF2-deficient Neuro2a cells exhibit significantly blunted neurite outgrowth in response to retinoic acid treatment, with quantitative assessment showing reduced neurite extension . This suggests ACSF2 may be essential for proper neuronal development, possibly by providing activated fatty acids for membrane synthesis or protein modification in growing neurites.
Methodological approaches for studying ACSF2 in neuronal contexts include:
Retinoic acid-induced differentiation of neuroblastoma cell lines
Quantitative neurite outgrowth assessment using concentric circle analysis
Co-localization studies with neuronal markers
Live-cell imaging of ACSF2 trafficking during differentiation
Recent research has revealed potential roles for ACSF2 in immune regulation and cancer biology. In hepatocellular carcinoma, ACSF2 expression correlates significantly with immune cell infiltration, including B cells, CD8+ T cells, and CD4+ T cells . This correlation suggests ACSF2 may influence the tumor microenvironment through metabolic pathways affecting immune cell function.
The mechanisms potentially linking ACSF2 to immune function include:
Provision of activated fatty acids for energy metabolism in immune cells
Influence on membrane lipid composition affecting receptor signaling
Modulation of lipid mediator production involved in inflammation
Research approaches to explore these connections include:
Expression correlation analysis in cancer databases
Immune cell infiltration assessment in tissues with varying ACSF2 expression
Co-culture systems with immune and cancer cells
Metabolic profiling of immune cells after ACSF2 modulation
ACSF2 has demonstrated interesting associations with reproductive function in animal models. In geese, a single nucleotide polymorphism (SNP) in the ACSF2 intron was identified as linked to egg-laying performance . Comparative analysis revealed that the high egg production (HEP) group showed significantly lower ACSF2 mRNA levels compared to the low egg production (LEP) group .
Further experimentation demonstrated that:
Overexpression of ACSF2 increased caspase-3 mRNA levels in granulosa cells
ACSF2 knockdown decreased caspase-3 mRNA levels
ACSF2 mRNA levels positively correlated with caspase-3 mRNA levels in vivo (R = 0.86, P < 0.01)
ACSF2 belongs to the acyl-CoA synthetase superfamily but is phylogenetically distinct from the well-characterized subfamilies. Comparative genomic analysis has classified ACSF2 as an independent member of the ACS superfamily, separate from the common ACSS, ACSM, ACSL, ACSVL, and ACSBG subfamilies .
ACS Subfamily | Preferred Substrate | Subcellular Localization | ACSF2 Comparison |
---|---|---|---|
ACSS (1-3) | Short-chain (C2-C4) | Cytosol/Mitochondria | Distinct phylogeny, different substrate preference |
ACSM (1-5) | Medium-chain (C4-C11) | Mitochondria | Similar substrate range but different evolutionary origin |
ACSL (1,3-6) | Long-chain (C12-C20) | ER/Mitochondria | Different substrate preference |
ACSVL/SLC27A (1-6) | Very long-chain (C18-C26) | Peroxisomes/ER | Different substrate preference |
ACSBG (1-2) | Very long-chain (C18-C26) | ER | Different substrate preference |
ACSF2 | Medium-chain (C6-C10) | Golgi/Mitochondria (cell-type dependent) | Unique evolutionary placement |
Methodological approaches for comparative analysis include:
Phylogenetic analysis using multiple sequence alignment
Substrate specificity assays across ACS family members
Domain structure and conserved motif comparisons
Expression pattern analysis across tissues
Despite progress in understanding ACSF2, several significant knowledge gaps remain:
Physiological substrates: While in vitro studies show preference for medium-chain fatty acids, the physiologically relevant substrates in different tissues remain poorly defined.
Regulatory mechanisms: How ACSF2 expression and activity are regulated under different physiological and pathological conditions.
Human disease associations: Limited data exists on ACSF2 mutations or expression changes in human diseases.
Cell-type specific functions: The reason for variable subcellular localization across cell types and its functional implications.
Interaction partners: Comprehensive characterization of proteins interacting with ACSF2 in different cellular contexts.
Several emerging technologies offer promising approaches for addressing knowledge gaps:
CRISPR-Cas9 gene editing: For generating conditional knockout models and introducing specific mutations
Single-cell transcriptomics and proteomics: To understand cell-type specific expression patterns
Advanced metabolomics and lipidomics: For comprehensive profiling of ACSF2-dependent metabolic changes
Proximity labeling techniques (BioID, APEX): To identify context-specific protein interaction partners
Cryo-EM structural studies: To determine ACSF2 protein structure at atomic resolution
Patient-derived organoids: To study ACSF2 function in physiologically relevant human tissue models
ACSF2 is a mitochondrial enzyme that exhibits medium-chain fatty acid-CoA ligase activity . This means it has a preference for medium-chain fatty acids as substrates. The enzyme’s primary function is to activate fatty acids by converting them into acyl-CoA, which can then enter various metabolic pathways, including β-oxidation and lipid biosynthesis .
Mutations or dysregulation of the ACSF2 gene can have significant implications for human health. For instance, abnormalities in fatty acid metabolism can lead to metabolic disorders, including obesity, diabetes, and fatty liver disease. Additionally, ACSF2 has been implicated in the differentiation of adipocytes, the cells responsible for storing fat .
Given its central role in fatty acid metabolism, ACSF2 is a potential target for therapeutic interventions aimed at treating metabolic disorders. Research is ongoing to better understand the enzyme’s function and regulation, which could lead to the development of novel treatments for conditions related to fatty acid metabolism .