Recombinant Uncharacterized Protein Rv1343c/MT1384 is encoded by the rv1343c or mt1384 gene in M. tuberculosis. The protein spans 126 amino acids (1–126 residues) and is identified by the UniProt accession number Q11013 . While some sources incorrectly list its species as Homo sapiens (human) , this is likely an error, as the gene originates from M. tuberculosis .
| Gene Information | Details |
|---|---|
| Gene Names | Rv1343c, MT1384 |
| UniProt ID | Q11013 |
| Expression Region | 1–126 amino acids |
| Source Organism | Mycobacterium tuberculosis |
The protein is produced via recombinant DNA technology in E. coli, leveraging codon optimization and fusion tags for solubility and purification. Quality control measures include:
| Handling Recommendations | Details |
|---|---|
| Reconstitution | 0.1–1.0 mg/mL in deionized water |
| Glycerol Addition | 5–50% (final concentration) for stability |
| Freeze-Thaw Cycles | Avoid repeated cycles |
While no peer-reviewed studies directly link this protein to specific functions, its role in M. tuberculosis suggests potential applications:
Tuberculosis Pathogenesis: As a hypothetical virulence factor, it may contribute to bacterial survival or immune evasion.
Diagnostic Targets: Could serve as an antigen in TB diagnostics or vaccine development.
Structural Biology: Full-length production enables studies of tertiary structure and interactions with host proteins .
Note: Current literature lacks experimental evidence for these applications, as the protein remains functionally uncharacterized .
Functional Ambiguity: The "uncharacterized" designation reflects limited experimental data on its biological role .
Species Misannotation: Inconsistent species labeling in some catalogs (e.g., "Human") necessitates cross-verification.
Stability: Repeated freeze-thaw cycles degrade activity, requiring aliquoting for multiple uses .
Basic Research Answer:
Escherichia coli remains the expression system of choice for initial attempts at producing Rv1343c/MT1384. The BL21(DE3) strain, which contains the λDE3 prophage with T7 RNA polymerase under the control of the lacUV5 promoter, provides a robust platform for heterologous protein expression . For Rv1343c/MT1384, consider these specific approaches:
Use the pET vector system with the T7 promoter, which can achieve protein expression levels up to 50% of total cellular protein under optimal conditions
Include a histidine tag or other affinity tag to facilitate purification
Initial expression trials should test multiple temperatures (16°C, 25°C, 37°C) to identify conditions that maximize soluble protein yield
If expression in E. coli proves challenging, consider specialized strains like C41(DE3) or C43(DE3), which were specifically selected to withstand the expression of potentially toxic proteins .
Advanced Research Answer:
Codon optimization is critical for expressing mycobacterial proteins in E. coli due to substantial differences in codon usage between these organisms. For Rv1343c/MT1384 specifically:
Analyze the Codon Adaptation Index (CAI) of the native sequence and identify rare codons
Optimize the sequence using one of several available algorithms that adapt the codon usage to E. coli preferences without altering the amino acid sequence
Pay special attention to clusters of rare codons, which can cause ribosomal stalling and premature translation termination
Consider co-expression with plasmids providing rare tRNAs (e.g., pRARE plasmid) as an alternative to full codon optimization
Research shows that codon optimization can increase protein yields by 5-15 fold for mycobacterial proteins, potentially turning a failed expression attempt into a successful one.
Basic Research Answer:
While not specifically documented for Rv1343c/MT1384, the C126S mutation strategy seen in other recombinant proteins like IL-2 provides important insights. In IL-2, this mutation involves substituting serine for cysteine at position 126 . This type of mutation typically serves to:
Prevent unwanted disulfide bond formation
Reduce protein aggregation during expression and purification
Increase protein stability in solution
Potentially improve biological activity by eliminating non-native disulfide bonding
For uncharacterized proteins like Rv1343c/MT1384, conducting a computational analysis to identify potentially problematic cysteine residues and testing targeted mutations (like C→S) represents a rational approach to improving recombinant protein production.
Basic Research Answer:
A multi-step purification strategy is recommended for Rv1343c/MT1384:
Initial Capture: If using a His-tagged construct, employ immobilized metal affinity chromatography (IMAC) using Ni-NTA resin
Intermediate Purification: Remove contaminants with ion exchange chromatography based on the theoretical isoelectric point (pI) of Rv1343c/MT1384
Polishing Step: Size exclusion chromatography to achieve high purity and assess oligomeric state
For each step, optimize buffer conditions (pH, salt concentration, reducing agents) to maintain protein stability and solubility. Consider including protease inhibitors during initial lysis steps to prevent degradation.
Advanced Research Answer:
Assessing proper folding is critical for functional studies of uncharacterized proteins. For Rv1343c/MT1384, employ multiple complementary techniques:
Circular Dichroism (CD) Spectroscopy:
Far-UV (190-250 nm) to determine secondary structure content
Near-UV (250-350 nm) to assess tertiary structure fingerprint
Thermal Shift Assay (TSA):
Determine the melting temperature (Tm) as an indicator of stability
Screen buffer conditions that maximize thermal stability
Limited Proteolysis:
Compare digestion patterns of the recombinant protein with those of native protein (if available)
Properly folded proteins typically show distinct, limited digestion patterns
Intrinsic Fluorescence:
Measure tryptophan/tyrosine fluorescence to assess tertiary structure
Compare emission spectra under native and denaturing conditions
The combination of these techniques provides strong evidence for proper folding, which is a prerequisite for functional studies.
Advanced Research Answer:
Determining the presence and configuration of disulfide bonds is crucial for understanding protein structure and function. For Rv1343c/MT1384, implement the following methodology:
Computational Prediction:
Analyze the amino acid sequence to identify cysteine residues
Use algorithms to predict potential disulfide bonds based on spacing and conservation
Experimental Verification:
| Method | Procedure | Data Analysis |
|---|---|---|
| Mass Spectrometry | Compare peptide masses under reducing/non-reducing conditions | Mass shifts of 2 Da per disulfide bond |
| Ellman's Reagent | Quantify free thiols in native vs. denatured states | Difference indicates disulfide-bonded cysteines |
| SDS-PAGE Mobility | Compare migration with/without reducing agent | Faster migration in non-reducing conditions suggests disulfides |
Functional Impact Testing:
Generate cysteine-to-serine mutants for each cysteine residue
Compare stability and activity of mutants to wild-type protein
For recombinant expression in E. coli, consider using specialized strains like Origami™ that have mutations in thioredoxin reductase (trxB) and glutathione reductase genes to enhance disulfide bond formation in the cytoplasm .
Basic Research Answer:
Initial functional characterization of Rv1343c/MT1384 should follow a systematic approach:
Bioinformatic Analysis:
Sequence homology searches using BLAST and HHPred
Domain prediction using InterPro and PFAM
Structural prediction using AlphaFold2 or RoseTTAFold
Expression Analysis:
Protein-Protein Interaction Screening:
Pull-down assays using the purified recombinant protein
Bacterial two-hybrid system screening
Co-immunoprecipitation with anti-Rv1343c antibodies
Knockout/Knockdown Studies:
Generate knockout strains using homologous recombination
Assess phenotypic changes in growth, morphology, and virulence
These approaches provide a foundation for hypothesis generation about the protein's function, which can then be tested with more specific experiments.
Advanced Research Answer:
Structural biology provides critical insights into protein function, especially for uncharacterized proteins. For Rv1343c/MT1384, pursue the following structural approaches:
X-ray Crystallography:
Conduct crystallization trials using sparse matrix screening
Optimize promising crystallization conditions
Collect diffraction data and solve the structure
Analyze structural features for functional clues
Cryo-Electron Microscopy:
Particularly valuable if Rv1343c forms larger complexes
Provides structural information in a more native-like environment
Can reveal conformational heterogeneity
NMR Spectroscopy:
For dynamic regions or smaller domains
Identify residues involved in ligand binding
Map protein-protein interaction surfaces
Structure-Based Function Prediction:
| Approach | Methodology | Expected Outcome |
|---|---|---|
| Active Site Identification | Structural analysis of pockets and conservation | Potential enzymatic function |
| Structural Homology | Comparison with known structures | Functional annotation transfer |
| Molecular Docking | In silico screening of metabolite libraries | Potential ligands or substrates |
| Electrostatic Surface Analysis | Calculate surface charge distribution | Prediction of interaction partners |
Combined with biochemical validation, these structural approaches can significantly accelerate functional characterization of this uncharacterized protein.
Advanced Research Answer:
Expressing mycobacterial proteins like Rv1343c/MT1384 in heterologous systems presents several specific challenges:
Codon Usage Bias:
Mycobacterial genomes have a high GC content (~65%)
This creates significant codon usage differences compared to E. coli
Solution: Use codon-optimized synthetic genes or co-express rare tRNAs
Post-Translational Modifications:
Mycobacterial proteins may require specific modifications absent in E. coli
Solution: Consider eukaryotic expression systems or cell-free systems for certain applications
Protein Folding:
The cytoplasmic environment differs between mycobacteria and E. coli
Solution: Test expression in specialized E. coli strains like SHuffle® that have altered redox environments
Protein Toxicity:
Solubility Issues:
High hydrophobicity or unusual structural features may cause aggregation
Solution: Express as fusion proteins with solubility-enhancing tags (MBP, SUMO, TrxA)
Addressing these challenges requires an iterative optimization approach, testing multiple expression conditions and constructs to achieve successful production of functional protein.
Advanced Research Answer:
Transcriptomic approaches provide valuable insights into the regulation and functional context of Rv1343c/MT1384:
RNA-Seq Analysis:
Condition-Specific Expression:
Analyze expression patterns under different stress conditions (hypoxia, nutrient starvation, low pH)
Determine expression changes during host infection
Correlate expression with specific growth phases
Regulon Mapping:
Identify potential transcription factors controlling Rv1343c expression
Perform chromatin immunoprecipitation (ChIP-seq) to map regulatory interactions
Use reporter assays to validate regulatory elements
Transcriptome-Wide Binding Studies:
If Rv1343c/MT1384 is suspected to interact with RNA, perform RNA immunoprecipitation (RIP)
Analyze RIP-seq data to identify binding motifs and targets
Validate interactions using in vitro binding assays
A comprehensive transcriptomic analysis provides a systems-level understanding of Rv1343c/MT1384's role and guides further functional studies.
Advanced Research Answer:
Developing inhibitors for Rv1343c/MT1384 requires established high-throughput screening (HTS) methodologies:
Assay Development:
Design activity assays based on predicted function
Optimize for 384 or 1536-well format
Validate with known controls and determine Z'-factor
Compound Library Selection:
| Library Type | Advantages | Considerations |
|---|---|---|
| Diversity-based | Broad chemical space coverage | Lower hit rates |
| Fragment-based | Higher hit rates, smaller compounds | Weaker initial binding |
| FDA-approved drugs | Repurposing potential, known safety | Limited novelty |
| Natural products | Novel scaffolds, evolved binding | Complex chemistry |
Screening Methodologies:
Biochemical assays measuring direct inhibition
Thermal shift assays to detect binding
Cellular assays in M. tuberculosis or surrogate systems
Structure-based virtual screening if structure is available
Hit Validation and Optimization:
Confirm activity with fresh compounds
Determine structure-activity relationships
Assess selectivity against human homologs
Optimize pharmacokinetic properties
The development of specific inhibitors not only provides potential therapeutic leads but also serves as chemical probes to further understand the function of Rv1343c/MT1384 in vivo.
Basic Research Answer:
Low expression yields of Rv1343c/MT1384 can be addressed through systematic troubleshooting:
Optimize Induction Conditions:
Test different inducer concentrations (0.1-1.0 mM IPTG for T7 systems)
Vary induction temperature (16°C, 25°C, 30°C)
Try different induction durations (3h, 6h, overnight)
Modify Expression Constructs:
Try different affinity tags (His, GST, MBP, SUMO)
Test tag placement (N-terminal vs. C-terminal)
Consider expressing domains separately if full-length protein is problematic
Change Expression Strains:
Adjust Growth Media:
Compare expression in rich media (LB, TB) vs. minimal media
Add glucose to reduce basal expression from leaky promoters
Include specific additives (glycine betaine, sorbitol) to improve protein folding
Consider Secretion Strategies:
By systematically testing these variables, researchers can often transform poor expression into yields sufficient for further characterization.
Advanced Research Answer:
Rigorous quality control is critical for ensuring reliable and reproducible research with Rv1343c/MT1384:
Identity Verification:
Mass spectrometry analysis (peptide mass fingerprinting)
N-terminal sequencing
Western blot with specific antibodies
Purity Assessment:
SDS-PAGE with densitometry (aim for >95% purity)
High-performance liquid chromatography (HPLC)
Capillary electrophoresis
Homogeneity Analysis:
Dynamic light scattering (DLS) to detect aggregation
Size exclusion chromatography with multi-angle light scattering (SEC-MALS)
Analytical ultracentrifugation (AUC)
Functional Integrity:
Activity assays based on predicted function
Ligand binding assays
Structural integrity verification by circular dichroism
Regulatory Documentation:
Implementing these quality control measures ensures that experimental results are attributable to the protein of interest rather than contaminants or degraded material, thereby increasing research reliability.