Recombinant Human Carbohydrate Sulfotransferase 3 (CHST3), partial, is an enzyme encoded by the CHST3 gene, also known as chondroitin 6-O-sulfotransferase 1 or C6ST-1 . CHST3 is essential for the normal development and maintenance of the skeleton, especially cartilage formation . It belongs to the carbohydrate sulfotransferase (CHST) family, which catalyze the biosynthesis of proteoglycans that mediate cell interactions in both normal and diseased conditions .
The CHST3 gene provides instructions for making the C6ST-1 enzyme, which plays a crucial role in the development and maintenance of the skeleton . Specifically, this enzyme is vital for the normal development of cartilage, a flexible tissue that forms much of the skeleton during early development . Most cartilage converts to bone, except for the cartilage that protects the ends of bones and is present in the nose and external ears .
The C6ST-1 enzyme modifies chondroitin sulfate proteoglycans, which are abundant in cartilage and give this tissue its rubbery, gel-like consistency . The enzyme performs sulfation, transferring a sulfate group from 3'-phosphoadenyl-5'-phosphosulfate (PAPS) to a specific location on chondroitin sulfate proteoglycans, which is critical for cartilage formation .
Mutations in the CHST3 gene can cause CHST3-related skeletal dysplasia, a condition characterized by progressive bone and joint abnormalities . At least 24 mutations in CHST3 have been linked to this condition . These mutations typically change single amino acids in the C6ST-1 enzyme or result in an abnormally short version of the enzyme . Such genetic changes reduce or eliminate the activity of C6ST-1, preventing it from properly transferring sulfate groups to chondroitin sulfate proteoglycans, thereby disrupting normal cartilage and bone development, leading to short stature and joint dislocations . This condition is also known as chondrodysplasia with congenital joint dislocations, CHST3-related (CDCJD-CHST3) .
Recent research has identified CHST3 as a potential diagnostic gene for both osteoporosis and sarcopenia, common diseases in older adults . Transcriptomic analysis has shown that CHST3, along with PGBD5 and SLIT2, can serve as a diagnostic marker for these conditions .
| Gene | Training Cohort (AUC) | Osteoporosis Validation (AUC) | Sarcopenia Validation (AUC) |
|---|---|---|---|
| CHST3 | 0.728 | 0.592 | 0.782 |
AUC represents the area under the receiver operating characteristic curve, a measure of the predictive performance of the genes.
Single-gene enrichment analysis (GSEA) indicates that CHST3 is involved in metabolic pathways, including cell cycle regulation, fatty acid metabolism, DNA replication, and carbohydrate synthesis . Furthermore, CHST3 and SLIT2 are involved in the immune response .
CHST3's role extends to the repair of intervertebral disc degeneration . Studies show that CHST3 overexpression in cartilage endplate-derived stem cells (CESCs) can regulate molecular mechanisms related to the repair of intervertebral disc degeneration . CHST3 interacts with CSPG4, influencing cell proliferation, protein profiles, migration, and cellular features of co-cultured CESCs or bone marrow cells .
Research indicates that CHST3 is correlated with immune cell activity in both osteoporosis and sarcopenia samples . In osteoporosis, CHST3 shows a significant positive correlation with naive CD4 T cells, while in sarcopenia, it shows a significant negative correlation with regulatory T cells .
| Disease | Immune Cell | Correlation |
|---|---|---|
| Osteoporosis | Naive CD4 T cells | Positive |
| Sarcopenia | Regulatory T cells | Negative |
Carbohydrate sulfotransferases, including CHST3, have emerging applications in the diagnosis of connective tissue disorders, cancer, and inflammation . While a lack of CHST activity is found in congenital connective tissue disorders, CHST overexpression is detected in different malignancies .
CHST3 encodes the chondroitin 6-O-sulfotransferase-1 (C6ST-1) enzyme, which belongs to the carbohydrate sulfotransferase family. This enzyme catalyzes a critical modifying step in chondroitin sulfate (CS) synthesis by transferring sulfate groups to the C-6 position of the N-acetylgalactosamine residue of chondroitin. This sulfation process is essential for proper extracellular matrix formation, particularly in connective tissues .
The enzyme displays specificity for multiple substrates including chondroitin, various CS variants, keratan sulfate, and sialyl lactosamine oligosaccharides, with major specificity for chondroitin. CHST3 plays a crucial role in skeletal development, as evidenced by the severe skeletal dysplasias observed in patients with CHST3 mutations .
The CHST3 gene consists of three exons spanning approximately 49.2 kb of genomic sequence with an unusually large 3′ UTR of 5,115 bp. The open reading frame of 1,437 bp codes for a 479 amino acid protein . Critical to its function is the 3′-phosphoadenosine 5′-phosphosulfate (PAPS) binding site, which contains a highly conserved arginine at position 304. This residue is essential for the structure of the cosubstrate binding site, as demonstrated by functional studies showing that mutations at this position (such as R304Q) can completely abolish C6ST-1 activity .
The enzyme is anchored in the Golgi apparatus via its transmembrane domain, positioning it appropriately for the post-translational modification of chondroitin during proteoglycan synthesis .
Based on published methodologies, CHST3 enzyme activity can be assessed through sulfotransferase assays using:
Sample preparation: Cell lysates (from patient fibroblasts or transfected cells) or recombinant enzymes
Reaction components:
Polymer chondroitin as substrate (acceptor)
[³⁵S]PAPS as cosubstrate (sulfate donor)
Appropriate buffer conditions
Analytical procedures:
For specific position determination, C6ST activity can be quantified based on [³⁵S]sulfate incorporation into ΔHexA-GalNAc(6S), where ΔHexA and 6S represent unsaturated hexuronic acid and 6-O-sulfate, respectively .
Recombinant CHST3 expression can be optimized using a strategy that addresses the transmembrane domain constraint. As demonstrated in published research, a soluble form of CHST3 can be engineered by:
Replacing the first NH₂-terminal 48 amino acids (which include the transmembrane domain) with a cleavable insulin signal sequence.
Fusing this construct to a protein A IgG-binding domain to facilitate purification.
Expressing the construct in COS-1 cells, allowing secretion of the soluble enzyme into the medium.
Purifying the recombinant protein using IgG-Sepharose beads, effectively separating it from endogenous C6ST .
This approach yields functional enzyme suitable for in vitro activity assays and structural studies while avoiding the solubility issues associated with the transmembrane domain.
CHST3 mutations are associated with a specific form of skeleton dysplasia known as Spondyloepiphyseal dysplasia with congenital joint dislocations (SED) . Clinical manifestations include:
Short stature
Kyphoscoliosis
Joint dislocations
Clubfoot
Heart valve anomalies
As of 2015, 30 disease-associated mutations in CHST3 had been found in 45 patients globally, including familial cases from Oman, Tanzania, and Pakistan .
Recombinant CHST3 provides an excellent platform for:
Functional characterization of patient-specific mutations
Structure-function relationship studies
High-throughput screening for therapeutic compounds
Development of enzyme replacement therapy approaches
Molecular modeling of CHST3 can be performed using tools such as Phyre2 with the Sulfotransferase domain from the Curacin biosynthetic pathway as a template (Protein Data Bank ID: 4GBM) . This approach allows researchers to predict the structural consequences of specific mutations identified in patients.
Recent research has identified CHST3 as a key player in musculoskeletal disorders beyond skeletal dysplasias. Transcriptomic analyses have identified CHST3 as one of three potential diagnostic genes for both osteoporosis and sarcopenia . Gene set enrichment analysis (GSEA) revealed that CHST3 is involved in pathways related to:
Cell cycle regulation
Fatty acid metabolism
DNA replication
Carbohydrate synthesis
In the context of intervertebral disc degeneration, CHST3 overexpression in cartilage endplate-derived stem cells (CESCs) appears to modulate molecular mechanisms related to tissue repair . Experimental approaches to study this include:
Gene expression manipulation (overexpression or knockdown) in CESCs
Co-culture systems with bone marrow cells
Differentiation assays (Alizarin red and Alcian blue staining)
Transmission electron microscopy (TEM) for ultrastructural analysis
Western blot analysis of specific biomarkers including RUNX, OC (in osteoblasts) and aggrecan, collagen II (in chondroblasts)
When designing activity assays for recombinant CHST3, researchers should consider:
Substrate selection:
Polymer chondroitin is the preferred substrate
Alternative substrates include various CS variants, keratan sulfate, and sialyl lactosamine oligosaccharides
The choice of substrate should align with the specific research question
Reaction conditions:
PAPS concentration and purity are critical for accurate results
Buffer composition affects enzyme stability and activity
Temperature and pH optimization is essential
Incubation time (typically 1 hour) should be validated for linearity
Detection methods:
Controls:
Include wild-type recombinant CHST3 as a positive control
Use known inactive mutants (e.g., R304Q) as negative controls
Include substrate-free and enzyme-free reactions
Investigating molecular interactions involving CHST3 requires multiple complementary approaches:
Co-immunoprecipitation (Co-IP) can be used to detect protein-protein interactions, as demonstrated in studies examining the interaction between CHST3 and CSPG4 .
Structural analysis through:
Binding assays:
Surface plasmon resonance (SPR)
Isothermal titration calorimetry (ITC)
Fluorescence polarization for smaller ligands
Functional genomics approaches:
The sulfated chondroitin products of CHST3 activity can be characterized using several analytical techniques:
Anion-exchange HPLC analysis of disaccharide composition:
Enzymatic digestion approaches:
Mass spectrometry:
Provides detailed structural information about sulfation patterns
Can identify novel or unexpected modifications
Biological activity assays:
Functional assessment of sulfated products in cell culture systems
Evaluation of binding to relevant receptors or growth factors
Interpretation of sulfation pattern differences requires careful consideration of multiple factors:
Quantitative analysis:
Tissue-specific patterns:
Normal sulfation profiles vary between tissue types
Interpret changes in the context of tissue-specific norms
Compensatory mechanisms:
Altered activity of other sulfotransferases (e.g., C4ST) may occur
Changes in substrate availability can impact observed patterns
Biological consequences:
Correlate sulfation changes with functional outcomes
Consider effects on binding to growth factors, cytokines, and cell surface receptors
A typical analytical approach would include comparative disaccharide composition analysis of CS chains by anion-exchange HPLC, looking for significant changes in specific sulfated disaccharides such as ΔHexA-GalNAc(6S) and ΔHexA(2S)-GalNAc(6S) .
CHST3's role in chondroitin sulfation makes it highly relevant for tissue engineering and regenerative medicine approaches focused on cartilage, bone, and intervertebral disc repair:
Stem cell differentiation:
Extracellular matrix composition:
Proper sulfation of chondroitin is critical for matrix assembly and function
Engineered tissues require appropriate sulfation patterns for mechanical properties
Therapeutic approaches:
Biomarker development:
CHST3 expression and activity as potential biomarkers for musculoskeletal disorders
Sulfation patterns as indicators of disease progression or treatment response
When using partial recombinant CHST3 compared to full-length protein, researchers should consider:
The construction of a soluble form of CHST3 by substituting the first NH₂-terminal 48 amino acids with an insulin signal sequence provides a practical example of engineering partial recombinant CHST3 while maintaining functionality .
Several cutting-edge technologies hold promise for advancing CHST3 research:
CRISPR-Cas9 genome editing:
Generation of precise CHST3 mutations to model disease variants
Creation of reporter cell lines for high-throughput screening
Knock-in of tagged CHST3 for localization and interaction studies
Single-cell technologies:
Analysis of CHST3 expression in heterogeneous tissues
Correlation with cell state and differentiation potential
Integration with spatial transcriptomics for tissue context
Advanced structural biology techniques:
Cryo-EM for structure determination of CHST3 complexes
Hydrogen-deuterium exchange mass spectrometry for dynamic structural information
In-cell NMR for studying CHST3 in its native environment
Computational approaches:
Molecular dynamics simulations of CHST3-substrate interactions
Machine learning for predicting functional consequences of variants
Systems biology integration of CHST3 into broader regulatory networks
Despite significant progress, several important questions remain about CHST3:
Tissue-specific regulation:
Functional interactions:
What is the full interactome of CHST3 in different cell types?
How do these interactions modulate enzyme activity and specificity?
What signaling pathways regulate CHST3 function?
Disease mechanisms:
Therapeutic potential:
Can recombinant CHST3 or gene therapy effectively treat CHST3-related disorders?
What small molecules can modulate CHST3 activity for therapeutic benefit?
How can CHST3-related pathways be targeted for musculoskeletal tissue regeneration?
Multi-omics integration offers powerful opportunities to comprehensively understand CHST3 biology:
Transcriptomics combined with proteomics:
Glycomics and glycoproteomics:
Comprehensive profiling of chondroitin sulfation patterns
Correlation of sulfation changes with functional outcomes
Identification of novel CHST3 substrates
Metabolomics:
Analysis of PAPS availability and metabolism
Effects of metabolic state on CHST3 activity
Identification of metabolic biomarkers associated with CHST3 function
Integration frameworks:
Machine learning approaches to predict CHST3 activity from multi-omics data
Network analysis to position CHST3 within broader regulatory systems
Patient stratification based on integrated biomarker profiles