The Recombinant Uncinocarpus reesii Signal peptidase complex catalytic subunit SEC11 (SEC11) is a recombinant protein derived from the fungus Uncinocarpus reesii. This protein is part of the signal peptidase complex, which plays a crucial role in the processing of proteins by removing N-terminal signal sequences. These sequences are essential for targeting proteins to the endoplasmic reticulum (ER) for further processing and secretion.
The signal peptidase complex is responsible for cleaving the signal peptides from nascent proteins as they are translocated into the ER. This process is vital for the proper maturation and secretion of proteins. The SEC11 subunit, specifically, is a catalytic component of this complex, facilitating the precise removal of signal sequences to ensure correct protein targeting and function.
Source: The recombinant SEC11 protein can be produced in various expression systems, including E. coli, Baculovirus, and mammalian cells.
Purity: The protein is typically purified to a high degree, often exceeding 85% purity as determined by SDS-PAGE.
Synonyms: SEC11; UREG_07275; Signal peptidase complex catalytic subunit SEC11; Signal peptidase I.
The recombinant SEC11 protein could be used in various biotechnological applications, including protein expression systems where efficient signal peptide processing is crucial. Additionally, understanding its role in protein maturation could provide insights into disease mechanisms related to protein misprocessing.
Recombinant Uncinocarpus reesii Signal Peptidase Complex Catalytic Subunit SEC11 (SEC11)
SEC11 is a catalytic component of the signal peptidase complex (SPC). It catalyzes the cleavage of N-terminal signal sequences from proteins destined for the endoplasmic reticulum (ER). This signal peptide cleavage occurs during or after translocation through the translocon pore into the ER.
KEGG: ure:UREG_07275
STRING: 336963.XP_002582502.1
Uncinocarpus reesii is a non-pathogenic fungus that is phylogenetically related to pathogenic Coccidioides species, with approximately 20-30 million years of evolutionary distance. The sequence divergence of the 18S ribosomal gene between C. immitis and U. reesii is approximately 0.7% .
U. reesii has become an important expression system for recombinant proteins because:
It can be handled under Biosafety Level 1 (BSL1) containment, unlike Coccidioides species which require BSL3 facilities
It can produce proteins with appropriate post-translational modifications, including unique glycosylation patterns like 3-O-methyl-mannose moieties that are critical for antigenicity
It provides a safer alternative for producing diagnostic antigens that would otherwise require cultivation of pathogenic Coccidioides species
The signal peptidase complex (SPC) is an essential membrane component in the endoplasmic reticulum that removes signal peptides from secretory pre-proteins with high specificity . SEC11 functions as a catalytic subunit of this complex.
Key aspects of SEC11 include:
In yeast, SEC11 is essential for signal peptide processing and cell growth, with null mutations being lethal
SEC11 proteins are related to the family of eubacterial and eukaryotic signal peptidases
The catalytic mechanism involves a Ser-His-Asp triad, with conserved residues critical for function
Based on established protocols for expressing recombinant proteins in U. reesii, the following methodology can be applied to SEC11 expression:
Vector Construction:
Transformation Procedure:
Grow U. reesii UAMH 3881 (ATCC 34534) on GYE agar at 30°C for 3 weeks to produce arthroconidia
Generate protoplasts by digesting germ tubes with lysing enzymes, Driselase, and chitinase
Transform protoplasts with the linearized expression construct in the presence of polyethylene glycol and calcium ions
Select transformants on media containing hygromycin B (initially at 75 μg/ml, then increase to 100 μg/ml for stable transformants)
Protein Induction and Purification:
SEC11 proteins have several important structural elements:
Catalytic Domain:
Contains a Ser-His-Asp catalytic triad essential for enzymatic activity
The catalytic residues Ser56/68 (in box B) and His96/108 (in box D) are positioned similarly to the Ser-Lys dyad in bacterial SPase I
Three conserved aspartic acid residues (Asp116/128, Asp121/133, and Asp122/134) near the binding pocket, with Asp122/134 best positioned to complete the catalytic triad
Transmembrane Regions:
Conserved Sequence Motifs:
Site-directed mutagenesis provides valuable insights into SEC11 structure-function relationships:
Catalytic Residue Analysis:
Experimental Design for Mutagenesis Studies:
Generate recombinant SEC11 variants with targeted mutations in conserved residues
Express mutant proteins in U. reesii
Purify proteins and assess:
Protein stability through thermal denaturation assays
Catalytic activity using appropriate substrates (e.g., pre-β-lactamase processing assay)
Structural integrity through circular dichroism or other biophysical methods
Functional Domains Mapping:
Mutate residues in the signal peptide binding groove to identify key substrate interaction sites
Generate truncated variants to determine the minimal functional domain
Create chimeric proteins by swapping domains between SEC11A and SEC11C to identify paralog-specific functions
Recombinant SEC11 from U. reesii enables comparative studies with pathogenic fungi through several approaches:
Evolutionary Analysis:
Compare SEC11 sequences and structures from U. reesii, Coccidioides species, and other fungi
Identify conserved and divergent regions that may relate to pathogenicity
Analyze selection pressures on different domains of the protein
Functional Complementation:
Express U. reesii SEC11 in SEC11-deficient strains of other fungi to assess functional conservation
Determine if U. reesii SEC11 can restore signal peptide processing in SEC11 mutants
Substrate Specificity Analysis:
Compare the substrate specificity of SEC11 from U. reesii with that from pathogenic fungi
Identify differences in processing efficiency for various signal peptides
Use this information to understand the evolution of host-pathogen interactions
| Challenge | Potential Solutions |
|---|---|
| Low expression levels | - Optimize codon usage for U. reesii - Test different promoters (constitutive vs. inducible) - Optimize culture conditions (temperature, media composition) - Screen multiple transformants to identify high producers |
| Protein misfolding | - Co-express chaperones - Optimize growth temperature - Add stabilizing agents to culture media - Create fusion proteins with solubility-enhancing tags |
| Proteolytic degradation | - Add protease inhibitors during purification - Generate protease-deficient U. reesii strains - Optimize purification protocols to minimize processing time |
| Inconsistent glycosylation | - Analyze glycosylation patterns batch-to-batch - Standardize culture conditions - Consider enzymatic deglycosylation if consistency is problematic |
| Genetic instability | - Ensure proper integration of the expression construct - Maintain selection pressure - Regularly verify the genetic integrity of producing strains |
Recent studies have identified important roles for SEC11 in disease processes:
SEC11A in Cancer:
SEC11A is significantly upregulated in head and neck squamous cell carcinoma (HNSC)
High SEC11A expression is independently associated with poorer progression-free survival (HR: 2.075, 95%CI: 1.447–2.977, p<0.001) and disease-specific survival (HR: 2.023, 95%CI: 1.284–3.187, p=0.002)
SEC11A expression shows a moderate positive correlation with gene-level copy number (Pearson's r = 0.53, p<0.001)
SEC11A expression correlates negatively with CD8+ T cells and B cells, but positively with cancer-associated fibroblasts and myeloid-derived suppressor cells in the tumor microenvironment
Research Implications:
Studying SEC11 function across species may reveal conserved mechanisms relevant to human disease
Understanding SEC11 substrate specificity could help identify key proteins involved in pathogenesis
SEC11 inhibitors could be developed as potential therapeutic agents for cancers with SEC11A overexpression
Several advanced techniques can be employed to study SEC11-substrate interactions:
Crosslinking Mass Spectrometry:
Use chemical crosslinking followed by mass spectrometry to identify proteins that interact with SEC11
Apply photoactivatable crosslinkers incorporated into SEC11 or its substrates
Analyze interaction sites through fragmentation patterns
Substrate Trapping:
Generate catalytically inactive SEC11 mutants that can bind but not process substrates
Isolate these complexes and identify bound substrates through proteomics
Map the binding interface using structural biology techniques
Fluorescence-Based Assays:
Develop FRET-based assays with fluorescently labeled SEC11 and substrates
Monitor real-time processing of labeled substrates
Screen for conditions or compounds that affect processing efficiency
Structural Biology Approaches:
Use cryo-electron microscopy to visualize SEC11 in complex with substrates
Apply X-ray crystallography to obtain high-resolution structures of SEC11-substrate complexes
Perform molecular dynamics simulations to understand the dynamics of substrate recognition
Several cutting-edge technologies could significantly advance SEC11 research:
CRISPR-Cas9 Genome Editing in U. reesii:
Generate precise knockouts or modifications of native SEC11
Create reporter strains to monitor SEC11 expression and localization
Engineer synthetic regulatory circuits to control SEC11 expression
Single-Cell Analysis of SEC11 Function:
Apply single-cell transcriptomics to understand cell-to-cell variability in SEC11 expression
Use single-molecule imaging to track SEC11 dynamics in living cells
Develop microfluidic approaches to study SEC11 function in individual cells
Artificial Intelligence for Substrate Prediction:
Develop machine learning algorithms to predict SEC11 substrates based on signal peptide sequences
Use deep learning to model SEC11-substrate interactions
Apply computational approaches to design optimized substrates or inhibitors
Comparative genomics offers powerful insights into SEC11 biology:
Evolutionary Analysis:
Compare SEC11 sequences across diverse fungi to identify conserved and variable regions
Reconstruct the evolutionary history of SEC11 gene duplication events
Identify selection pressures acting on different domains of SEC11
Synteny Analysis:
Examine the genomic context of SEC11 across fungal species
Identify co-evolved genes that may function with SEC11
Discover regulatory elements controlling SEC11 expression
Structure-Function Mapping:
Correlate sequence variations with functional differences in SEC11 across species
Identify species-specific substrate preferences
Develop predictive models for SEC11 substrate specificity based on evolutionary patterns
Methodology:
Generate multiple sequence alignments of SEC11 homologs
Calculate conservation scores for each amino acid position
Perform phylogenetic analyses to understand the relationship between sequence, structure, and function
Map conservation data onto structural models to identify functionally important regions
A comprehensive analytical toolkit for SEC11 characterization includes:
Protein Identity and Purity:
SDS-PAGE with silver staining for purity assessment
Western blotting with anti-SEC11 or anti-tag antibodies
Mass spectrometry for accurate mass determination and sequence confirmation
N-terminal sequencing to verify correct signal peptide processing
Post-Translational Modifications:
Structural Characterization:
Circular dichroism for secondary structure analysis
Thermal shift assays to assess protein stability
Limited proteolysis to identify domain boundaries and flexible regions
Small-angle X-ray scattering for low-resolution structural information
Functional Analysis:
| Problem | Possible Causes | Solutions |
|---|---|---|
| No detectable protein expression | - Promoter not functioning - Improper induction conditions - Protein instability - Incorrect construct design | - Verify construct sequence - Test alternative promoters - Optimize induction conditions - Check mRNA expression by RT-PCR - Add protease inhibitors during extraction |
| Protein expressed but not active | - Improper folding - Missing post-translational modifications - Inhibitory contaminants in preparation - Mutations in catalytic residues | - Optimize purification conditions - Verify protein sequence - Test different buffer conditions - Add cofactors if required - Express protein with chaperones |
| Inconsistent glycosylation patterns | - Variation in culture conditions - Heterogeneous cell population - Media composition differences - Stress during cultivation | - Standardize growth conditions - Use single-colony isolates - Carefully control media preparation - Monitor culture health metrics |
| Genetic instability of transformants | - Integration in unstable genomic regions - Toxic effects of expressed protein - Selection pressure too low - Recombination events | - Screen multiple transformants - Maintain selection pressure - Regularly check construct integrity - Use different integration sites |
| Low transformation efficiency | - Poor quality protoplasts - Inefficient DNA delivery - Suboptimal regeneration conditions - DNA toxicity | - Optimize protoplast preparation - Adjust PEG concentration and DNA amount - Improve regeneration media - Use freshly prepared reagents |
Multiple complementary approaches can validate recombinant SEC11 quality:
Enzymatic Activity Assays:
Compare activity of recombinant SEC11 with native protein using standardized substrates
Measure kinetic parameters (Km, Vmax) and compare to published values
Test activity under various conditions (pH, temperature, ionic strength)
Structural Validation:
Use circular dichroism to confirm proper secondary structure content
Apply fluorescence spectroscopy to assess tertiary structure
Perform thermal denaturation studies to determine stability profiles
Compare structural features with known SEC11 structures from related organisms
Functional Complementation:
Substrate Recognition:
Test processing of known SEC11 substrates
Compare substrate specificity profiles with native SEC11
Analyze cleavage site preferences using peptide libraries