Recombinant Uncharacterized protein ML0614 (ML0614)

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Product Specs

Form
Lyophilized powder
Note: We prioritize shipping the format currently in stock. However, if you have specific format requirements, please indicate them in your order. We will accommodate your request whenever possible.
Lead Time
Delivery time may vary depending on the purchase method and location. Please consult your local distributors for specific delivery estimates.
Note: Our proteins are shipped with standard blue ice packs. If you require dry ice shipping, please communicate your need in advance. Additional fees will apply.
Notes
Repeated freezing and thawing is not recommended. Store working aliquots at 4°C for up to one week.
Reconstitution
We recommend centrifuging the vial briefly before opening to ensure the contents settle at the bottom. Reconstitute the protein in deionized sterile water to a concentration of 0.1-1.0 mg/mL. We recommend adding 5-50% glycerol (final concentration) and aliquoting for long-term storage at -20°C/-80°C. Our default final concentration of glycerol is 50%. This can be used as a reference.
Shelf Life
Shelf life is influenced by various factors including storage conditions, buffer components, temperature, and the protein's inherent stability.
Generally, liquid forms have a shelf life of 6 months at -20°C/-80°C. Lyophilized forms have a shelf life of 12 months at -20°C/-80°C.
Storage Condition
Upon receipt, store at -20°C/-80°C. Aliquoting is necessary for multiple uses. Avoid repeated freeze-thaw cycles.
Tag Info
Tag type is determined during the manufacturing process.
The tag type is determined during production. If you have a specific tag type in mind, please inform us, and we will prioritize its development.
Synonyms
ML0614; B1937_F2_47; Uncharacterized protein ML0614
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-95
Protein Length
full length protein
Species
Mycobacterium leprae (strain TN)
Target Names
ML0614
Target Protein Sequence
MWKARTALGDLDTVFYDAGTANGTNGISVSPVNGFLNWWDSIELWLSGLAFVLQAALVMP VVLAFAYGTALVLDFALGKGIQLMRRAYHPDSARG
Uniprot No.

Target Background

Database Links

KEGG: mle:ML0614

Subcellular Location
Membrane; Single-pass membrane protein.

Q&A

What is ML0614 and why is it significant for leprosy research?

ML0614 is an uncharacterized protein from Mycobacterium leprae's genome, classified as one of the hypothetical unknown Open Reading Frames (ORFs) in functional class VI. It has garnered scientific interest due to its relatively high gene expression levels in M. leprae, suggesting it is actively transcribed and potentially important for bacterial function or host-pathogen interactions. According to quantitative real-time PCR (qRT-PCR) analysis, ML0614 demonstrates significant expression with cycle threshold (CT) values ranging from 20.8 to 37.5, positioning it among the more highly expressed M. leprae-specific genes .

The significance of ML0614 lies in its potential as a diagnostic biomarker or vaccine candidate for leprosy. As leprosy diagnosis remains challenging, especially in distinguishing asymptomatic M. leprae infection from healthy individuals in endemic regions, proteins like ML0614 could serve as valuable tools for developing specific immunodiagnostic assays .

How is gene expression of ML0614 measured in research settings?

Gene expression of ML0614 is typically measured using cDNA-based quantitative real-time PCR (qRT-PCR). This process begins with primer design specific to the ML0614 gene sequence, optimized to produce PCR products of 200-400 bp for enhanced efficiency . The specificity of primers is confirmed through BLAST searches against genomes of related mycobacteria including M. tuberculosis, M. avium, M. bovis BCG, and M. smegmatis to ensure M. leprae specificity .

For accurate quantification, researchers extract RNA from M. leprae samples (often isolated from infected tissues), perform reverse transcription to generate cDNA, and then conduct qRT-PCR using the designed primers. The expression level is typically reported as cycle threshold (CT) values, with lower values indicating higher expression. ML0614 has demonstrated notable expression with the following CT values across different samples/conditions:

GeneCT ValuesGene Expression LevelDetection Limit
ML061420.8, 25.0, 29.1, 32.4, 36.0, 37.532.01 pg

These values position ML0614 among the more highly expressed hypothetical proteins in M. leprae, making it a promising candidate for further research .

What expression systems are typically used to produce recombinant ML0614?

Recombinant ML0614 is typically produced using Escherichia coli expression systems, specifically the T7 promoter-driven vector system. This approach allows for controlled and efficient production of the protein as a His-tagged fusion protein, facilitating subsequent purification through immobilized-metal affinity chromatography (IMAC) .

The methodology involves several key steps:

  • Cloning the ML0614 gene sequence into an appropriate expression vector containing a T7 promoter and histidine tag

  • Transforming the recombinant vector into a compatible E. coli strain (commonly BL21(DE3) or similar)

  • Culturing the transformed bacteria in appropriate media (such as Luria-Bertani) containing relevant antibiotics

  • Inducing protein expression, typically using isopropyl β-D-1-thiogalactopyranoside (IPTG) at concentrations around 0.8 mM

  • Harvesting cells and lysing them to release the recombinant protein

  • Purifying the His-tagged ML0614 using IMAC

  • Confirming protein identity and purity through methods such as SDS-PAGE and Western blotting

For enhanced productivity, researchers may consider utilizing simulated microgravity (SMG) conditions during expression, as studies have demonstrated that SMG can increase recombinant protein yields in E. coli by upregulating protein synthesis pathways and chaperone activity .

How does the expression profile of ML0614 compare to other M. leprae hypothetical proteins?

ML0614 exhibits a distinctive expression profile among M. leprae hypothetical proteins. Based on comprehensive qRT-PCR analysis across multiple genes, ML0614 demonstrates relatively high expression levels compared to many other hypothetical proteins in functional class VI. With CT values starting as low as 20.8 (indicating high expression) and a gene expression level value of 32.0, ML0614 ranks among the more actively transcribed hypothetical ORFs .

In comparative analysis with other M. leprae-specific proteins:

GeneCT Value RangeGene Expression LevelDetection Limit
ML061420.8-37.532.01 pg
ML007025.2-35.433.61 pg
ML057423.1-33.230.91 pg
ML058822.8-34.830.11 pg
ML263017.3-32.931.3500 fg-1 pg

This data suggests that ML0614 maintains expression levels comparable to other actively transcribed hypothetical proteins, with a detection sensitivity in the picogram range (1 pg), indicating its biological relevance in M. leprae .

The expression profile positions ML0614 as a candidate of interest for researchers developing diagnostic tools or studying M. leprae pathogenesis, particularly when seeking proteins that are actively expressed during infection and potentially available for immunological recognition.

What methodologies are most effective for assessing the immunogenicity of recombinant ML0614?

Evaluating the immunogenicity of recombinant ML0614 requires a multi-faceted approach that examines both humoral and cell-mediated immune responses. Based on established protocols for similar M. leprae proteins, the following methodologies have proven most effective:

For humoral immunity assessment:

  • Western blot analysis using sera from lepromatous leprosy (LL) patients and control groups (including tuberculosis patients) to evaluate antibody recognition of the recombinant protein. This approach helps determine if ML0614 is seroreactive and if the reactivity is M. leprae-specific .

  • Enzyme-linked immunosorbent assays (ELISAs) to quantitatively measure antibody titers against recombinant ML0614 in different patient cohorts, including various forms of leprosy (multibacillary vs. paucibacillary), contacts of leprosy patients, and endemic controls.

For cell-mediated immunity assessment:

  • Interferon-gamma release assays (IGRAs) to measure T-cell responses to recombinant ML0614 stimulation. This involves isolating peripheral blood mononuclear cells (PBMCs) from different subject groups and measuring IFN-γ production upon stimulation with the recombinant protein.

  • T-cell epitope mapping to identify specific regions within ML0614 that are recognized by T cells. This typically involves synthesizing overlapping peptides spanning the entire ML0614 sequence and testing their ability to stimulate T-cell responses.

When comparing serological reactivity of ML0614 to other M. leprae hypothetical proteins, researchers should position it within the broader context of protein immunogenicity patterns. In studies of similar M. leprae hypothetical proteins, approximately 10 out of 15 recombinant antigens were recognized by circulating antibodies in pooled sera from LL patients, while only a single recombinant protein (ML2307) showed cross-reactivity with sera from tuberculosis patients .

What are the optimal conditions for enhancing recombinant ML0614 production in E. coli expression systems?

Optimizing recombinant ML0614 production in E. coli requires careful consideration of multiple parameters to maximize yield while maintaining protein solubility and functionality. Based on research with similar recombinant proteins, the following conditions have demonstrated effectiveness:

  • Expression under simulated microgravity (SMG): Studies have shown that SMG conditions can significantly enhance recombinant protein production in E. coli. For instance, β-glucuronidase expression increased by 15.3%, 48.2%, and 52.4% at 17°C, 27°C, and 37°C respectively under SMG compared to normal gravity conditions .

  • Temperature optimization: Lower induction temperatures (17-27°C) often improve protein solubility by slowing protein synthesis and allowing proper folding, though higher temperatures (37°C) may yield greater total protein amounts. Testing induction at multiple temperatures (17°C, 27°C, and 37°C) is recommended to determine the optimal balance between quantity and quality for ML0614 .

  • Induction parameters: The optimal IPTG concentration for induction is typically around 0.8 mM, with induction periods of 4-8 hours. Extending induction time beyond 8 hours rarely improves yield significantly and may lead to protein degradation .

  • Rotary speed optimization: For SMG conditions, testing different rotary speeds (10, 15, 20, and 30 rpm) is essential to identify the optimal mixing that enhances protein production while maintaining suitable oxygen transfer rates .

  • Media composition: Enriched media such as Luria-Bertani supplemented with appropriate antibiotics (typically 50 μg/ml kanamycin) provides essential nutrients for high-density cell growth and protein expression .

The molecular mechanisms underlying enhanced production under SMG conditions include upregulation of ribosomal genes (including rplO, rpsK, rplV, rplP, rpsD, rplR, rpsC, rpsE, and rplB), increased aminoacyl-tRNA biosynthesis, and elevated expression of RNA polymerase genes (rpoA, rpoB, rpoC, and rpoZ) . These changes accelerate protein synthesis rates and contribute to higher recombinant protein yields.

How can researchers validate that recombinant ML0614 maintains its native conformation and epitope integrity?

Validating the conformational integrity and epitope preservation of recombinant ML0614 is crucial for ensuring its biological relevance in research applications. Multiple complementary approaches should be employed:

  • Structural characterization techniques:

    • Circular dichroism (CD) spectroscopy to analyze secondary structure elements

    • Size exclusion chromatography to assess protein aggregation state

    • Differential scanning calorimetry to evaluate thermal stability and folding properties

    • Limited proteolysis assays to examine domain organization and accessibility

  • Functional validation approaches:

    • Immunological recognition assays comparing the recombinant protein against native M. leprae lysates

    • Epitope mapping using monoclonal antibodies with known specificity for native ML0614

    • Cross-reactivity testing against related mycobacterial proteins to evaluate specificity

  • Mass spectrometry-based validation:

    • Hydrogen-deuterium exchange mass spectrometry (HDX-MS) to analyze protein dynamics and solvent accessibility

    • Native mass spectrometry to confirm oligomeric state

    • Peptide mapping with liquid chromatography-tandem mass spectrometry (LC-MS/MS) to validate sequence coverage and post-translational modifications

  • Antibody validation:

    • Testing whether antibodies raised against recombinant ML0614 recognize the native protein in M. leprae lysates or infected tissues

    • Comparing serological reactivity profiles between recombinant and native forms using patient sera

  • Computational approaches:

    • Molecular modeling to predict structure and compare with experimental data

    • Epitope prediction algorithms to identify potential B and T cell epitopes for experimental validation

For ML0614 specifically, comparing immunological reactivity patterns with those observed for other M. leprae proteins can provide valuable context. Among similar hypothetical proteins studied, those with high seroreactivity against lepromatous leprosy patient sera while showing minimal cross-reactivity with tuberculosis patient sera demonstrated maintenance of relevant M. leprae-specific epitopes .

How can ML0614 be integrated into multiplex diagnostic assays for leprosy?

Integrating ML0614 into multiplex diagnostic assays for leprosy requires strategic approaches to maximize sensitivity and specificity in detecting M. leprae infection. Based on research patterns with similar M. leprae hypothetical proteins, the following methodological framework is recommended:

  • Combinatorial antigen panel development:

    • Evaluate ML0614 in combination with other M. leprae-specific antigens (both known and hypothetical proteins) to identify complementary detection patterns

    • Include proteins from different functional categories to capture diverse aspects of the immune response to M. leprae

    • Consider a minimum panel of 3-5 antigens including ML0614 to enhance sensitivity while maintaining specificity

  • Platform selection considerations:

    • Protein microarray systems allow simultaneous detection of antibodies against multiple antigens including ML0614

    • Multiplex bead-based immunoassays (e.g., Luminex) offer advantages in terms of dynamic range and sample volume requirements

    • ELISA-based systems provide accessibility for resource-limited settings where leprosy is endemic

  • Target population stratification:

    • Evaluate diagnostic performance across different clinical presentations (multibacillary vs. paucibacillary leprosy)

    • Test assay effectiveness for early detection in household contacts of leprosy patients

    • Validate in geographically diverse endemic populations to account for strain variation and genetic backgrounds

  • Test interpretation algorithms:

    • Develop weighted scoring systems that account for the relative diagnostic value of ML0614 versus other antigens

    • Establish appropriate cut-off values through ROC curve analysis of endemic control populations

    • Implement machine learning approaches to optimize pattern recognition across multiple antigens

Given that ML0614 shows significant gene expression values (with CT values starting at 20.8 and gene expression level of 32.0) , it represents a promising component for such multiplex systems. Its categorization as a hypothetical protein with demonstrated expression makes it particularly valuable for expanding beyond the limited set of well-characterized M. leprae antigens currently used in diagnostic development.

What cellular pathways and biological processes might ML0614 be involved in based on gene expression data?

While ML0614 remains functionally uncharacterized, insights into its potential biological roles can be derived through analysis of its gene expression patterns, comparative genomics, and contextual data from similar M. leprae proteins. Several plausible hypotheses regarding ML0614's involvement in cellular pathways can be formulated:

  • Stress response mechanisms: The significant expression level of ML0614 (CT values 20.8-37.5) suggests potential involvement in adaptive responses to environmental stressors encountered during infection. This parallels observations in other bacterial systems where uncharacterized proteins with robust expression often participate in stress adaptation.

  • Host-pathogen interaction: As one of the actively expressed M. leprae-specific proteins, ML0614 may function at the interface between the pathogen and host. Similar hypothetical proteins from M. leprae have been shown to interact with host immune components, potentially modulating recognition or response mechanisms.

  • Mycobacterial persistence pathways: The consistent expression of ML0614 positions it as a candidate for involvement in the remarkable persistence capabilities of M. leprae. Proteins supporting metabolic adaptation, dormancy, or immune evasion would be selected for maintained expression.

  • Specialized metabolic functions: M. leprae has undergone extensive genome reduction, retaining only essential genes or those providing adaptive advantages. The preservation and expression of ML0614 despite this reductive evolution suggests functional importance, potentially in specialized metabolism adapted to the intracellular lifestyle.

  • Protein export or secretion: Some highly expressed hypothetical proteins in mycobacteria participate in protein export pathways. Research has shown that protein export is strengthened under certain conditions (like simulated microgravity), which enhances recombinant protein production .

To further elucidate ML0614's functional associations, researchers should consider:

  • Co-expression network analysis to identify genes with similar expression patterns

  • Structural prediction and motif identification to recognize functional domains

  • Genetic manipulation strategies (in model mycobacteria) to assess phenotypic effects of gene disruption or overexpression

  • Protein-protein interaction studies to map ML0614's interactome

What challenges exist in scaling up ML0614 production for research applications, and how can they be addressed?

Scaling up ML0614 production for research applications presents several technical challenges that must be systematically addressed to ensure consistent quality and yield. Based on research with similar recombinant proteins, the following challenges and solutions are most relevant:

1. Protein solubility and aggregation issues:

  • Challenge: Hypothetical proteins like ML0614 often have unknown folding properties that can lead to inclusion body formation or aggregation during high-density expression.

  • Solutions:

    • Employ fusion tags that enhance solubility (e.g., MBP, SUMO, or Thioredoxin) in addition to the His-tag used for purification

    • Optimize induction conditions using lower temperatures (17-27°C) and reduced inducer concentrations

    • Consider co-expression with molecular chaperones (GroEL/GroES, DnaK/DnaJ/GrpE systems) to facilitate proper folding

2. Expression system optimization:

  • Challenge: Standard E. coli expression systems may not provide optimal conditions for maximum yield and functionality.

  • Solutions:

    • Implement simulated microgravity (SMG) cultivation, which has demonstrated 15.3-52.4% increases in recombinant protein production depending on temperature

    • Test multiple E. coli host strains with different genetic backgrounds (BL21, C41/C43, SHuffle, Origami) to identify optimal expression hosts

    • Explore auto-induction media systems to achieve higher cell densities before protein expression begins

3. Purification scalability:

  • Challenge: Transitioning from laboratory-scale to larger production volumes often results in decreased recovery and purity.

  • Solutions:

    • Develop a sequential purification strategy combining IMAC with at least one orthogonal method (ion exchange, size exclusion chromatography)

    • Optimize buffer systems to enhance protein stability during purification

    • Implement automated purification systems with in-line monitoring to maintain consistent quality

4. Product consistency and validation:

  • Challenge: Ensuring batch-to-batch consistency in structural integrity and functional properties.

  • Solutions:

    • Establish robust quality control metrics including SDS-PAGE, Western blotting with anti-His antibodies, and at least one functional assay

    • Implement mass spectrometry-based analysis for each production batch

    • Develop and validate storage conditions that maintain protein stability (lyophilization vs. solution storage)

5. Cost-effectiveness:

  • Challenge: Reducing production costs while maintaining quality for research-scale applications.

  • Solutions:

    • Optimize media composition using design of experiments (DOE) approaches

    • Develop a fed-batch process that maximizes cell density and protein yield

    • Evaluate reusable purification matrices and regeneration protocols

The integration of simulated microgravity cultivation represents a particularly promising approach, as research has demonstrated that this condition upregulates ribosomal genes, RNA polymerase genes, and protein folding modulators such as chaperones, all contributing to enhanced recombinant protein production .

How does the immunological profile of ML0614 compare to other M. leprae antigens in diagnostic applications?

The immunological profile of ML0614 must be evaluated within the context of existing M. leprae diagnostic antigens to determine its unique contribution to leprosy diagnosis. While specific immunological data for ML0614 is limited in the provided search results, we can extrapolate from studies of similar hypothetical proteins to establish a comparative framework:

  • Serological reactivity patterns:
    Among the 15 recombinant hypothetical proteins tested in similar studies, 10 demonstrated seroreactivity against pooled sera from lepromatous leprosy (LL) patients, while only one (ML2307) showed cross-reactivity with tuberculosis patient sera . This suggests that proteins in this category, including potentially ML0614, may offer good specificity for distinguishing M. leprae infection from other mycobacterial diseases.

  • Comparison with established antigens:
    Current diagnostic antigens for leprosy include PGL-I, LID-1, and ND-O-HSA. The hypothetical proteins like ML0614 represent a distinct category that could complement these established markers by:

    • Targeting different stages of infection or disease

    • Eliciting immune responses in patient populations that may be non-responsive to traditional antigens

    • Providing enhanced specificity for M. leprae versus other mycobacteria

  • Differential diagnostic value:
    The ML0614 gene demonstrates significant expression (CT values 20.8-37.5) , suggesting its protein product may be abundantly present during infection. This characteristic is valuable for diagnostic applications, as higher abundance typically correlates with increased immune recognition and antibody production.

  • Potential for differentiating disease states:
    Different antigens exhibit varying reactivity patterns across the leprosy spectrum (tuberculoid to lepromatous). The immunological profile of ML0614 should be assessed for its ability to distinguish between:

    • Active disease versus asymptomatic infection

    • Paucibacillary versus multibacillary forms

    • Early versus established infection

  • Contribution to diagnostic sensitivity:
    While individual M. leprae antigens typically demonstrate moderate sensitivity (40-80%), combining multiple antigens in panels significantly improves detection rates. ML0614's contribution to such panels should be evaluated through statistical measures such as:

    • Incremental increase in sensitivity when added to existing panels

    • Unique detection of cases missed by established antigens

    • Performance across different geographical populations

To fully establish ML0614's comparative immunological profile, researchers should conduct systematic studies comparing its reactivity patterns with both established antigens and other hypothetical proteins across diverse patient cohorts and disease states.

What experimental controls and validation methods are critical when working with recombinant ML0614?

Working with recombinant ML0614 requires rigorous experimental controls and validation methods to ensure reliable and reproducible research outcomes. Based on established practices with similar hypothetical proteins, the following critical controls and validation approaches should be implemented:

1. Expression and Purification Validation:

  • Negative controls: Vector-only expression cultures processed identically to ML0614-expressing cultures

  • Positive controls: Well-characterized recombinant protein expressed and purified in parallel

  • Validation methods:

    • SDS-PAGE analysis with Coomassie staining to assess purity and molecular weight

    • Western blotting using anti-His antibodies to confirm identity

    • Mass spectrometry (MS/MS) analysis to verify sequence

    • Endotoxin testing to ensure preparations are suitable for immunological studies

2. Functional and Structural Integrity Controls:

  • Thermal stability assessments: Differential scanning fluorimetry to confirm proper folding

  • Secondary structure validation: Circular dichroism spectroscopy compared to computational predictions

  • Batch consistency monitoring: Establishment of reference standards for inter-batch comparisons

3. Immunological Assay Controls:

  • Negative controls:

    • Sera from healthy individuals from non-endemic regions

    • Recombinant proteins from non-mycobacterial sources expressed under identical conditions

  • Positive controls:

    • Well-characterized M. leprae antigens (e.g., ML0050, ML2028) tested in parallel

    • Pooled sera from confirmed lepromatous leprosy patients

  • Cross-reactivity controls:

    • Sera from patients with tuberculosis and other mycobacterial infections

    • Recombinant orthologous proteins from related mycobacteria where applicable

4. Experimental Design Considerations:

  • Blinded sample testing: Researchers performing assays should be blinded to sample identity

  • Technical replicates: Minimum of triplicate measurements for all quantitative assays

  • Biological replicates: Testing across multiple protein preparations and diverse patient cohorts

  • Statistical validation: Appropriate statistical analyses with predetermined significance thresholds

5. Specificity Validation:

  • Bioinformatic confirmation: Repeat BLAST analyses before each study to confirm the continued uniqueness of ML0614 as new genomes are sequenced

  • Experimental verification: Testing against related mycobacterial species extracts to confirm specificity

  • Epitope mapping: Identification of specific regions responsible for M. leprae-specific recognition

When working with hypothetical proteins like ML0614, establishing these rigorous controls is particularly important given the limited characterization and potential for unexpected properties. Studies of similar M. leprae hypothetical proteins have demonstrated that while many show specificity for leprosy patient sera, occasional cross-reactivity can occur (as seen with ML2307) , highlighting the necessity of comprehensive validation.

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