STRING: 9601.ENSPPYP00000020108
UniGene: Pab.6883
ST7 (Suppression of Tumorigenicity 7) is a protein encoded by the ST7 gene located on chromosome 7 in both humans and Sumatran orangutans (Pongo abelii) . In humans, ST7 is considered a candidate tumor suppressor gene at chromosome locus 7q31.1 . The protein's function appears to be conserved across primates, with evidence suggesting its involvement in tumor suppression pathways. Research has shown that when introduced into cancer cell lines, ST7 can suppress in vivo tumorigenicity .
Multiple lines of evidence support ST7's role as a tumor suppressor:
Loss of heterozygosity (LOH) for 7q microsatellite DNA markers is common in many human tumor types
Cytogenetic analyses show frequent deletions within 7q in various cancers
Functional complementation assays demonstrate that microcell fusion of an intact chromosome 7 into cancer cell lines with LOH at 7q31 inhibits tumorigenicity
While the exact molecular mechanism remains under investigation, ST7's conservation across primates suggests an evolutionarily important function in cellular regulation.
The Pongo abelii ST7 protein shares significant homology with human ST7. According to the available amino acid sequence data, Pongo abelii ST7 contains 585 amino acids . Key structural features include:
Multiple transmembrane domains
Conserved functional motifs found in tumor suppressor proteins
Regions with high sequence conservation across primates
The amino acid sequence available for Pongo abelii ST7 (Q2IBE0) indicates high conservation in functional domains compared to human ST7 . This conservation suggests similar physiological roles between the species, making Pongo abelii ST7 a valuable research model for understanding human ST7 function.
While specific expression data for Pongo abelii ST7 is limited, human ST7 expression studies can provide insight into likely expression patterns. In humans, ST7 is expressed across multiple tissue types with varying intensity . Expression has been detected in:
Brain tissues (hippocampal formation, cerebral cortex)
Endocrine tissues (thyroid, adrenal gland)
Digestive system (liver, pancreas, colon)
Reproductive tissues
Lymphoid tissues
The broad expression pattern suggests ST7 may have tissue-specific functions beyond its tumor suppressor role. Researchers working with Pongo abelii ST7 should consider these expression patterns when designing experiments to evaluate physiological relevance.
Based on research approaches with similar proteins, the following methodological approach is recommended:
Expression System Selection:
E. coli: Suitable for individual domains but may present challenges for full-length protein due to transmembrane regions
Mammalian cells (HEK293): Preferred for full-length protein with proper folding and post-translational modifications
Expression Optimization Strategies:
Consider adding zinc supplementation during expression, as this has shown to increase yield in similar proteins (as demonstrated with MORC4 protein)
Test multiple fragments/domains separately if full-length expression proves challenging
Use codon optimization for the expression system
Purification Protocol:
Initial capture: Ni-IMAC for His-tagged constructs
TEV protease cleavage for tag removal
Ion exchange chromatography (consider both cation and anion exchange)
Size exclusion chromatography for final polishing
Quality Control:
SDS-PAGE analysis for purity assessment
Western blotting with anti-ST7 antibodies
Mass spectrometry for identity confirmation
Functional verification of recombinant ST7 requires multiple approaches:
Binding Assays:
Identify potential binding partners through co-immunoprecipitation
Verify protein-protein interactions using analytical techniques such as SEC-MALLS (Size Exclusion Chromatography-Multi-Angle Laser Light Scattering)
Cell-Based Functional Assays:
Transfection studies in cancer cell lines to assess tumor suppression activity
Cell proliferation assays to measure growth inhibition
Colony formation assays to evaluate anchorage-independent growth suppression
Comparative Analysis:
Parallel testing with human ST7 to establish functional equivalence
Domain-specific functional assays to map activity to protein regions
Proper experimental design requires rigorous controls:
Positive Controls:
Human ST7 protein (if available)
Well-characterized tumor suppressor proteins (e.g., p53, PTEN)
Active site mutants that retain structure but lack function
Negative Controls:
Empty vector controls for expression studies
Inactive mutant versions (site-directed mutagenesis of key residues)
Unrelated proteins of similar size/structure
Technical Controls:
Inclusion of standard curves for quantitative assays
Multiple biological and technical replicates
Randomization and blinding where applicable
Comparative studies between human and Pongo abelii ST7 offer unique insights into cancer biology:
Evolutionary Conservation Analysis:
Identification of highly conserved domains likely essential for tumor suppression
Recognition of species-specific variations that may correlate with cancer susceptibility differences
Functional Divergence Studies:
Investigation of potential functional differences in tumor suppression mechanisms
Analysis of whether Pongo abelii ST7 can complement human ST7 deficiency in cancer models
Biomarker Development:
Assessment of whether conserved epitopes could serve as diagnostic markers
Development of antibodies targeting conserved regions for cancer detection
Given the rarity of mutations in human ST7 in some studies (only one missense change found in a breast cancer cell line) but reported frameshift mutations in others , comparative studies may help resolve contradictions regarding ST7's role in tumorigenesis.
Based on previous research approaches, investigators should consider:
Mutation Screening Techniques:
PCR-SSCP (Polymerase Chain Reaction–Single-Strand Conformational Polymorphism) analysis for mutation detection
Direct DNA sequencing of the entire coding sequence
Next-generation sequencing for comprehensive variant detection
Study Design Considerations:
Include both primary tumor samples and cell lines
Analyze paired normal tissue to distinguish somatic from germline mutations
Screen multiple cancer types (research has examined colorectal, gastric, hepatocellular carcinomas)
Analytical Approaches:
Categorize mutations by type (frameshift, missense, silent)
Map mutations to functional domains
Correlate mutations with clinical outcomes
Previous studies have found contradictory results regarding ST7 mutations in cancers, with some reporting frequent frameshift mutations and others finding mutations to be extremely rare . This suggests the need for rigorous methodology and appropriate controls.
Post-translational modifications (PTMs) can significantly impact protein function:
Potential PTMs to Investigate:
Phosphorylation: May regulate ST7 activity or protein-protein interactions
Ubiquitination: Could control protein stability and turnover
Glycosylation: Might affect protein folding, stability, or localization
Methodological Approaches:
Mass spectrometry to identify and map PTMs
Site-directed mutagenesis of modified residues to assess functional impact
Comparative PTM analysis between human and Pongo abelii ST7 to identify conserved modifications
Functional Implications:
PTMs may regulate ST7's tumor suppressor activity
Species differences in PTMs could explain functional variations
PTM patterns might change in disease states
The literature contains conflicting reports about ST7's importance as a tumor suppressor gene:
Contradictory Findings:
Some studies report frequent frameshift mutations in primary cancers and cell lines
Other studies found somatic mutations to be extremely rare or absent in primary tumors
One study detected only three somatic mutations (near exon-intron junction in intron 8) in 144 cases
Recommended Approaches to Resolve Contradictions:
Methodological Standardization:
Use consistent techniques for mutation detection
Standardize sample preparation and experimental conditions
Employ multiple complementary methods
Critical Examination of Potential Biases:
Comprehensive Analysis:
Examine both coding and regulatory regions
Consider epigenetic mechanisms (methylation, histone modifications)
Investigate alternative splicing variants
Meta-analysis:
Pool data from multiple studies
Apply rigorous statistical methods
Account for heterogeneity in experimental approaches
Several computational approaches can enhance ST7 research:
Sequence Analysis Tools:
MUSCLE for multiple sequence alignment to compare ST7 across species
Jalview for visualization and analysis of sequence conservation
BLAST for identifying homologous sequences
Structural Analysis Tools:
Homology modeling using available templates (consider using human ST7 structure if available)
Molecular dynamics simulations to assess structural stability
Protein-protein interaction prediction tools
Functional Prediction Tools:
Gene Ontology enrichment analysis
Pathway analysis tools
Mutation effect prediction algorithms (SIFT, PolyPhen)
Data Integration Approaches:
Combine transcriptomic, proteomic, and genomic data
Integrate evolutionary conservation with structural information
Correlate sequence variations with functional outcomes
CRISPR-Cas9 technology offers powerful tools for ST7 functional studies:
Gene Editing Applications:
Knockout studies in cell lines to determine effects on proliferation and tumorigenicity
Knockin of specific mutations observed in human cancers
Domain-specific deletions to map functional regions
Methodological Considerations:
Design multiple guide RNAs targeting conserved regions
Include appropriate controls for off-target effects
Validate edits through sequencing
Advanced CRISPR Applications:
CRISPRi for transcriptional repression without genetic modification
CRISPRa for enhancing expression to study gain-of-function effects
Base editing for precise nucleotide modifications
Research Questions to Address:
Does ST7 knockout promote tumorigenesis in normal cells?
Can wildtype ST7 rescue the phenotype of ST7-deficient cancer cells?
Do specific domains have different functional consequences when deleted?
Integrative approaches can provide deeper insights:
Multi-omics Strategy:
Genomics: Assess genetic variations across primate species
Transcriptomics: Map expression patterns in various tissues and conditions
Proteomics: Identify interaction partners and post-translational modifications
Metabolomics: Evaluate downstream metabolic effects of ST7 activity
Integration Methods:
Network analysis to identify functional modules
Pathway enrichment to contextualize ST7 function
Machine learning approaches for pattern recognition
Potential Applications:
Identification of novel ST7-regulated pathways
Discovery of biomarkers associated with ST7 activity
Development of therapeutic approaches targeting ST7-dependent processes