The Gloeobacter violaceus UPF0284 protein glr4139 (glr4139) is a protein encoded by the glr4139 gene in the cyanobacterium Gloeobacter violaceus. Gloeobacter violaceus is a species of cyanobacteria known for its unique photosynthetic characteristics and absence of thylakoid membranes . The glr4139 gene is one of the 4430 potential protein-encoding genes found in the G. violaceus genome .
The complete genome of Gloeobacter violaceus PCC 7421 consists of a single circular chromosome 4,659,019 base pairs long, with a 62% average GC content . The chromosome includes 4430 potential protein-encoding genes, one set of ribosomal RNA (rRNA) genes, 45 transfer RNA (tRNA) genes representing 44 tRNA species, and genes for tmRNA, RNase P B subunit, signal recognition particle (SRP) RNA, and 6Sa RNA .
The glr4139 gene is part of a larger genomic context that includes various genes with diverse functions . Genomic analysis has revealed that approximately 41% of the potential protein-encoding genes in G. violaceus show sequence similarity to genes of known function, 37% to hypothetical genes, and 22% have no apparent similarity to reported genes .
Research on Gloeobacter violaceus has provided insights into various protein functions and structural elements. For example, studies on the Gloeobacter violaceus ligand-gated ion channel (GLIC) have explored the roles of prolines in the gating transitions of ion channels . Proline residues at specific locations, such as Pro-119 in the Cys-loop, Pro-198 and Pro-203 in the M1 helix, and Pro-299 in the M4 helix, are sensitive to substitution, and each plays a distinct role in receptor activity .
Gloeobacter violaceus UPF0284 protein glr4139 is a protein encoded by the glr4139 gene in the cyanobacterium Gloeobacter violaceus. It belongs to the UPF0284 protein family, which consists of proteins with conserved sequence patterns but incompletely characterized functions. The protein is available in recombinant form expressed in prokaryotic systems like E. coli, typically with affinity tags (such as His-tag) to facilitate purification . Unlike more extensively studied proteins from this organism such as the ligand-gated ion channel (GLIC), glr4139 remains relatively undercharacterized, presenting opportunities for novel research into its structure and function.
The UPF0284 protein glr4139 has distinct structural features compared to other UPF proteins in Gloeobacter violaceus, such as the UPF0060 membrane protein glr4174. While glr4174 is a membrane protein of 107 amino acids with a sequence rich in hydrophobic residues (MALLLFGLAAAAEIGGCFAFWSVLRLGKNPLWLAPGLVSLVVFAWLLTRSEATYAGRAYAAYGGVYIAASLVWLWLVEGTRPDRWDLAGALLCLAGAAVILFADRSP) , glr4139's structure has different characteristics. Researchers should note that these structural differences influence experimental approaches, particularly in protein expression systems, purification strategies, and functional assays.
Recombinant expression is preferred for studying glr4139 because it allows researchers to produce sufficient quantities of the protein for structural and functional characterization. Native expression in Gloeobacter violaceus would be technically challenging due to the difficult cultivation conditions of this cyanobacterium and potentially low native expression levels. Recombinant systems, particularly E. coli-based expression platforms, enable the addition of affinity tags that facilitate purification while maintaining protein functionality . Furthermore, recombinant expression allows researchers to introduce specific mutations or truncations to study structure-function relationships, similar to approaches used for other Gloeobacter violaceus proteins like GLIC .
Based on recombinant protein expression principles, several expression systems can be employed for glr4139 production, each with advantages for specific research objectives:
| Expression System | Advantages | Limitations | Recommended Applications |
|---|---|---|---|
| E. coli | High yield, rapid growth, cost-effective, suitable for isotopic labeling | Potential for inclusion body formation, lacks eukaryotic PTMs | Structural studies, protein-protein interaction assays |
| Insect cells (Baculovirus) | More complex folding machinery, some PTMs | Higher cost, longer production time | Functional assays requiring proper folding |
| Mammalian cells | Full complement of PTMs, native-like folding | Highest cost, lowest yield | Studies focusing on specific modifications or very sensitive functional assays |
| Cell-free systems | Rapid production, avoids toxicity issues | Limited scale, higher cost per mg | Quick screening of variants, toxic proteins |
For most applications, E. coli remains the system of choice due to its cost-effectiveness and high yield, particularly when studying the basic structural and biochemical properties of glr4139 .
For optimal purification of His-tagged recombinant glr4139, a multi-step purification protocol is recommended:
Immobilized Metal Affinity Chromatography (IMAC) using Ni-NTA resin as the primary capture step
Size Exclusion Chromatography (SEC) to remove aggregates and ensure monodispersity
Optional ion exchange chromatography if higher purity is required
The final protein should achieve >90% purity as determined by SDS-PAGE . For functional studies, it's critical to validate that the purification process maintains the native conformation. Researchers should consider including reducing agents (1-5 mM DTT or 2-10 mM β-mercaptoethanol) in buffers if the protein contains free cysteines to prevent inappropriate disulfide formation. The final product should be stored in a Tris/PBS-based buffer with 6% trehalose at pH 8.0 for optimal stability .
Optimization strategies for recombinant glr4139 expression should focus on balancing yield with proper folding:
Lower induction temperature (16-20°C instead of 37°C) to slow protein production and improve folding
Co-expression with molecular chaperones (GroEL/ES, DnaK/J) to assist proper folding
Use of E. coli strains specialized for membrane or difficult-to-express proteins (C41(DE3), C43(DE3), Lemo21(DE3))
Optimization of induction parameters (IPTG concentration, induction time, cell density at induction)
Testing different fusion tags beyond His-tag (MBP, GST, SUMO) that may enhance solubility
Screening various lysis and purification buffers to identify conditions that stabilize the native conformation
Researchers should conduct small-scale expression trials to determine optimal conditions before scaling up .
Multiple complementary techniques should be employed for comprehensive structural characterization of glr4139:
Researchers studying glr4139 should begin with CD spectroscopy to determine secondary structure content, followed by more resource-intensive techniques depending on specific research questions .
To investigate protein-protein interactions involving glr4139, researchers should employ a multi-method approach:
In silico prediction: Use computational tools to predict potential interaction partners based on sequence and structural homology.
Pull-down assays: Utilize the His-tag on recombinant glr4139 to identify interaction partners from cellular lysates, followed by mass spectrometry identification.
Surface Plasmon Resonance (SPR): Quantify binding kinetics and affinity between glr4139 and hypothesized partners.
Microscale Thermophoresis (MST): Measure interactions in solution with minimal protein consumption.
Crosslinking Mass Spectrometry: Identify interaction interfaces at the amino acid level.
Yeast Two-Hybrid or Bacterial Two-Hybrid: Screen for novel interaction partners.
Validation of interactions should always include appropriate controls, including other UPF proteins like glr4174 to assess specificity .
To determine cellular localization and function of glr4139, researchers should implement:
Immunofluorescence microscopy: Using antibodies against the recombinant protein or its tags to visualize localization in heterologous expression systems.
Subcellular fractionation: Followed by western blotting to identify which cellular compartment contains native or recombinant glr4139.
GFP fusion experiments: Creating glr4139-GFP fusion proteins to track localization in live cells.
Gene knockout/knockdown studies: In Gloeobacter violaceus or related organisms, followed by phenotypic characterization.
Complementation assays: Reintroducing wild-type or mutant glr4139 into knockout strains to restore function.
Interactome analysis: Identifying the network of proteins that interact with glr4139 to infer function by association.
These approaches have been successful in characterizing other proteins in Gloeobacter violaceus, such as the proline residues in GLIC that play crucial roles in gating transitions .
When designing experiments with recombinant glr4139, the following controls are essential:
Negative controls:
Buffer-only (no protein) control
Irrelevant protein with similar molecular weight and same tag
Heat-denatured glr4139 to confirm activity requires native conformation
Positive controls:
Well-characterized protein with similar function (if known)
Fresh vs. stored protein samples to assess stability
Technical controls:
Multiple protein concentrations to establish dose-response relationships
Multiple expression batches to ensure reproducibility
Tagged vs. tag-cleaved versions to assess tag interference
Validation controls:
Circular dichroism before and after experimental conditions to confirm structural integrity
Size exclusion chromatography to confirm monodispersity
These controls help distinguish specific biological activities from artifacts, ensuring reliable and reproducible results .
To distinguish specific glr4139 activity from contaminants:
Purity assessment: Ensure >95% purity by SDS-PAGE and mass spectrometry before functional assays.
Activity correlation with concentration: Demonstrate proportional relationship between protein concentration and observed activity.
Mutational analysis: Create point mutations in predicted active sites or functional domains to abolish activity.
Antibody inhibition: Use specific antibodies against glr4139 to inhibit activity if it's the true source.
Orthogonal purification: Purify using different tag systems (His-tag, GST, MBP) and confirm consistent activity.
Thermal stability assays: Correlate activity loss with protein unfolding using techniques like differential scanning fluorimetry.
Following the rigorous experimental design principles outlined in contemporary research methodology ensures reliable attribution of observed activities to glr4139 rather than contaminants .
Based on optimal handling practices for recombinant proteins, glr4139 should be stored according to these guidelines:
| Storage Form | Conditions | Duration | Notes |
|---|---|---|---|
| Lyophilized | -20°C to -80°C | Up to 2 years | Most stable form for long-term storage |
| Reconstituted | 4°C | Up to 1 week | For immediate use |
| Aliquoted solution | -20°C to -80°C | 3-6 months | Add 50% glycerol as cryoprotectant |
To maintain functional integrity:
Store the lyophilized powder at -20°C/-80°C upon receipt.
Reconstitute in deionized sterile water to a concentration of 0.1-1.0 mg/mL.
Add 5-50% glycerol (final concentration) for aliquots intended for long-term storage.
Avoid repeated freeze-thaw cycles as they significantly reduce activity.
For working stocks, store aliquots at 4°C for up to one week.
These storage recommendations are critical for maintaining the structural and functional integrity of the protein .
Site-directed mutagenesis provides powerful insights into the structure-function relationships of glr4139:
Selection of mutation targets:
Conserved residues across UPF0284 family members
Predicted functional domains or motifs
Surface-exposed residues for potential interaction sites
Residues in predicted secondary structure elements
Types of mutations to consider:
Conservative substitutions (maintain chemical properties)
Non-conservative substitutions (alter chemical properties)
Alanine-scanning (systematic replacement with alanine)
Introduction of non-canonical amino acids for specialized applications
Functional assessment:
Compare wild-type and mutant proteins for stability, folding, and activity
Identify residues critical for function vs. structural integrity
Map interaction interfaces through mutation of surface residues
This approach has been successfully employed for other Gloeobacter violaceus proteins, such as the investigation of proline residues in GLIC that revealed distinct roles in receptor activity .
While bacterial proteins typically have fewer post-translational modifications (PTMs) than eukaryotic proteins, potential PTMs in glr4139 could include:
Potential modifications:
Phosphorylation (Ser, Thr, Tyr residues)
Acetylation (Lys residues)
Methylation (Lys, Arg residues)
Glycosylation (if expressed in eukaryotic systems)
Detection methods:
Mass spectrometry (MS): LC-MS/MS for comprehensive PTM mapping
Western blotting: Using modification-specific antibodies
Phosphoprotein-specific staining: Pro-Q Diamond for phosphorylation
Radioactive labeling: Using isotope-labeled precursors
Functional significance assessment:
Site-directed mutagenesis of modified residues
In vitro modification/demodification assays
Comparison of protein expressed in different systems with varying PTM capabilities
Understanding PTMs may provide critical insights into regulatory mechanisms affecting glr4139 function that cannot be predicted from sequence analysis alone.
Computational approaches provide valuable complements to experimental studies of glr4139:
| Computational Method | Application to glr4139 Research | Output |
|---|---|---|
| Homology Modeling | Predict 3D structure based on related proteins | Structural model with estimated reliability |
| Molecular Dynamics | Simulate protein dynamics and conformational changes | Trajectory analysis, energy landscapes |
| Docking Studies | Predict interactions with potential binding partners | Binding modes, interface residues |
| Network Analysis | Place glr4139 in context of cellular pathways | Functional associations, potential roles |
| Evolution Analysis | Trace conservation patterns across species | Identification of functionally important residues |
| Machine Learning | Predict function from sequence/structure | Functional classification, GO terms |
These computational approaches can guide experimental design, help interpret experimental results, and generate hypotheses about glr4139 function that might not be immediately apparent from laboratory studies alone .
When facing inconsistent results in glr4139 functional assays, systematically investigate these potential causes:
Protein quality issues:
Verify protein integrity by SDS-PAGE and mass spectrometry
Check for degradation using western blotting
Assess aggregation state using size exclusion chromatography
Confirm proper folding using circular dichroism
Experimental variables:
Buffer composition effects (pH, salt concentration, additives)
Temperature fluctuations during assays
Freeze-thaw cycles between experiments
Batch-to-batch variation in protein preparation
Interference from tags or fusion partners
Methodological approach:
Implement multiple orthogonal assays for the same function
Increase sample size and technical replicates
Blind analysis to reduce experimenter bias
Include robust positive and negative controls in each experiment
Documentation of all experimental parameters is essential for troubleshooting, and standardized protocols should be established once optimal conditions are identified .
Appropriate statistical analyses for glr4139 experiments should be selected based on the experimental design:
| Experimental Design | Appropriate Statistical Tests | Requirements/Assumptions |
|---|---|---|
| Comparing two conditions | Student's t-test (parametric) Mann-Whitney U test (non-parametric) | Normal distribution (t-test) Independent samples |
| Multiple condition comparison | One-way ANOVA with post-hoc tests (parametric) Kruskal-Wallis test (non-parametric) | Normal distribution, equal variances (ANOVA) Independent samples |
| Dose-response studies | Non-linear regression (e.g., Hill equation) EC50/IC50 determination | Appropriate model selection Sufficient data points across concentration range |
| Time-course experiments | Repeated measures ANOVA Mixed-effects models | Complete datasets Appropriate covariance structure |
| Binding studies | Equilibrium binding models (e.g., Langmuir isotherm) | Equilibrium conditions No ligand depletion |
Power analysis should be conducted prior to experiments to determine appropriate sample sizes. Data visualization through scatter plots rather than bar graphs is recommended to show data distribution. When reporting results, include effect sizes and confidence intervals in addition to p-values .
When faced with contradictory findings about glr4139 in the literature, researchers should:
Systematically compare methodologies:
Expression systems and constructs used (tags, fusion partners)
Purification protocols and final purity assessment
Buffer compositions and experimental conditions
Assay principles and detection methods
Evaluate study quality and reproducibility:
Sample sizes and statistical power
Inclusion of appropriate controls
Validation using multiple techniques
Independent replication of key findings
Consider biological explanations:
Different functional states or conformations of the protein
Presence or absence of binding partners or cofactors
Strain or species-specific differences
Post-translational modifications
Design reconciliation experiments:
Directly compare conditions from contradictory studies
Introduce variables systematically to identify critical factors
Collaborate with authors of contradictory studies if possible
By approaching contradictions systematically rather than dismissing findings, researchers can often reveal nuanced aspects of protein function that explain apparent discrepancies .
Based on current knowledge and research approaches, several promising directions for future glr4139 research emerge:
Comprehensive structural characterization:
High-resolution structure determination via X-ray crystallography or cryo-EM
Structure-function correlations through mutagenesis studies
Conformational dynamics investigation using HDX-MS or NMR
Interactome mapping:
Identification of protein-protein interaction network
Characterization of binding interfaces
Functional significance of key interactions
Physiological role elucidation:
Gene knockout studies in Gloeobacter violaceus
Phenotypic characterization under various conditions
Systems biology approaches to place glr4139 in cellular pathways
Evolutionary analysis:
Comparative studies with homologs in other cyanobacteria
Investigation of UPF0284 family proteins across bacterial phyla
Identification of conserved functional motifs
These research directions, pursued with rigorous experimental design and appropriate controls, will contribute significantly to understanding this understudied protein and potentially reveal novel insights into cyanobacterial biology .
Integration of multi-omics data can provide a comprehensive understanding of glr4139 by:
Genomic context analysis:
Examining gene neighborhood and operon structure
Identifying potential regulatory elements
Comparative genomics across cyanobacterial species
Transcriptomic correlations:
Expression patterns under different conditions
Co-expression network analysis
Identification of potential regulators
Proteomic investigations:
Abundance and turnover rate determination
Post-translational modification mapping
Protein-protein interaction network mapping
Metabolomic connections:
Metabolic changes in knockout/overexpression strains
Identification of potentially associated metabolites
Flux analysis to determine metabolic pathway involvement
Data integration frameworks:
Network-based approaches to connect multi-omics data
Machine learning for functional prediction
Systems biology modeling of relevant pathways
This integrative approach moves beyond isolated protein characterization to understand glr4139 in its broader cellular context, potentially revealing functional roles not apparent from protein studies alone .
Researchers working with recombinant glr4139 should be mindful of these ethical considerations:
Laboratory safety and containment:
Appropriate biosafety level procedures
Proper disposal of recombinant materials
Risk assessment for novel protein functions
Research integrity practices:
Transparency in reporting methods and results
Sharing of materials and protocols with the scientific community
Addressing contradictory findings honestly
Environmental considerations:
Preventing release of recombinant organisms
Assessing ecological impact of any field studies
Sustainable laboratory practices to minimize waste
Dual-use research awareness:
Evaluating potential for misuse of research findings
Following institutional and national guidelines for dual-use research of concern
Appropriate communications about research with dual-use potential
Commercial and intellectual property considerations:
Acknowledging the source of materials
Respecting material transfer agreements
Transparent disclosure of conflicts of interest