KEGG: spe:Spro_2816
STRING: 399741.Spro_2816
Spro_2816 is a membrane protein belonging to the UPF0266 family (Uncharacterized Protein Family 0266), originating from the gram-negative bacterium Serratia proteamaculans (strain 568) . The protein consists of 152 amino acids with a molecular mass of approximately 17.7 kDa . As a member of the UPF0266 family, this protein belongs to a group of functionally uncharacterized proteins, indicating that its precise biological role remains to be fully elucidated. The classification within this family suggests potential structural or functional similarities with other UPF0266 members across bacterial species.
The complete amino acid sequence of Spro_2816 (MSLTDGVLLIFTALMLVYAIYDEFGMNLLKGKTLLKVQLKRRNRIDCLIFVGLITILLYRNVTTQGAVITTYLLISLALIAIYISYIRWPKMLFKAQGFFYANAFIEYNRIKAMNLSEDGILVIDLEQRRLLIQVTQLDDLEKIYHFFVENQ) reveals characteristics typical of membrane proteins, including hydrophobic regions that likely form transmembrane domains . Preliminary sequence analysis suggests the presence of multiple membrane-spanning regions, consistent with its classification as a membrane protein.
Structural analysis of Spro_2816 indicates several key features consistent with its identification as a membrane protein. The 152-amino acid sequence contains multiple hydrophobic segments that likely form transmembrane domains, allowing it to span the bacterial cell membrane . These hydrophobic regions are interspersed with more hydrophilic segments that may be exposed to either the cytoplasmic or extracellular environment, creating a characteristic membrane protein topology.
Computational analysis suggests that Spro_2816 likely contains approximately 3-4 transmembrane helices, based on hydrophobicity patterns in the primary sequence. The N-terminal region appears to contain a signal sequence or initial transmembrane domain (approximately residues 5-25), followed by alternating hydrophobic and hydrophilic segments. The relatively small size (152 amino acids) indicates it likely has a compact structure with limited extramembrane domains.
When analyzing the sequence patterns further, several potential structural motifs can be identified:
An N-terminal hydrophobic region likely forming the first transmembrane domain
A positively charged region (residues 30-40) potentially involved in protein-protein interactions
Additional hydrophobic segments constituting subsequent transmembrane domains
C-terminal region potentially involved in signaling or interaction with other cellular components
For successful recombinant production of Spro_2816, researchers should consider several expression systems, each offering distinct advantages depending on research objectives . The selection of an appropriate expression system is a critical decision that significantly impacts protein yield, folding, and functionality.
Use specialized E. coli strains designed for membrane protein expression:
C41(DE3) and C43(DE3) strains that have adapted to tolerate membrane protein overexpression
Lemo21(DE3) for tunable expression through rhamnose-controlled lysozyme production
BL21(DE3) pLysS for tighter control of basal expression
Optimize expression conditions:
Lower induction temperature (16-20°C) to slow protein synthesis and improve folding
Reduced inducer concentration to prevent overwhelming the membrane insertion machinery
Rich media formulations with proper aeration for robust cell growth
Induction at higher cell densities (OD600 ~0.8-1.0) for greater biomass
For structural studies requiring post-translational modifications or when E. coli expression yields poor results, eukaryotic expression systems should be considered:
Yeast systems (Pichia pastoris, Saccharomyces cerevisiae) may provide better folding machinery for complex membrane proteins and allow for scale-up in bioreactors
Insect cell systems using baculovirus vectors often yield higher quantities of properly folded membrane proteins
Cell-free expression systems combined with supplied lipids or detergents can overcome toxicity issues while allowing direct incorporation into membrane mimetics
As a member of the UPF0266 family of uncharacterized proteins, determining the function of Spro_2816 requires a systematic multi-faceted approach. The following methodological framework is recommended for researchers investigating this protein's function:
Comparative genomics and bioinformatics analysis:
Examine the genomic context of Spro_2816 to identify co-regulated genes and potential operons
Perform phylogenetic analysis to identify orthologs across bacterial species, particularly those with functional annotations
Use advanced structure prediction tools (AlphaFold2, RoseTTAFold) to predict protein structure and identify potential binding sites
Apply protein-protein interaction prediction algorithms to identify potential binding partners
Analyze conserved residues across the UPF0266 family to identify functionally important regions
Gene knockout and phenotypic characterization:
Generate Spro_2816 knockout strains in Serratia proteamaculans using CRISPR-Cas9 or traditional homologous recombination
Design comprehensive phenotypic screening protocols examining:
Growth rates under various conditions (temperature, pH, osmolarity)
Membrane integrity using fluorescent dyes (propidium iodide, FM4-64)
Stress responses (oxidative, antimicrobial, heavy metal)
Metabolic profiling using LC-MS/MS
Conduct comparative transcriptomics (RNA-Seq) between wild-type and knockout strains to identify affected pathways
Protein localization and interaction studies:
Use fluorescent protein fusions to confirm membrane localization and observe dynamics
Perform co-immunoprecipitation coupled with mass spectrometry to identify interaction partners
Apply techniques like FRET (Förster Resonance Energy Transfer) or BiFC (Bimolecular Fluorescence Complementation) to validate protein-protein interactions in vivo
Conduct split-ubiquitin yeast two-hybrid assays specific for membrane protein interactions
Purification of membrane proteins like Spro_2816 presents significant challenges due to their hydrophobic nature and requirement for a lipid environment. A methodical approach to purification should include:
Optimization of solubilization conditions:
Test a panel of detergents including mild (DDM, LMNG), moderate (DM), and harsh (SDS, FC-12) options
Evaluate novel amphipathic polymers like SMA that extract proteins within native lipid nanodiscs
Determine optimal detergent concentration, temperature, and buffer composition through systematic screening
Consider lipid-detergent mixed micelles to stabilize the protein
Chromatographic purification strategy:
Begin with affinity chromatography using engineered tags (His, Strep, FLAG)
Implement size exclusion chromatography to separate protein-detergent complexes from aggregates
Consider ion exchange chromatography as an additional purification step
Validate protein quality at each purification stage using SDS-PAGE and Western blotting
The table below compares the effectiveness of different detergents for Spro_2816-like membrane proteins:
| Detergent Class | Examples | Advantages | Disadvantages | Best For |
|---|---|---|---|---|
| Mild non-ionic | DDM, DM, LMNG | Preserves protein structure & function | May not fully solubilize | Functional studies |
| Zwitterionic | LDAO, FC-12 | Effective solubilization | May denature protein | When solubility is priority |
| Steroid-based | Digitonin, CHAPS | Mimics membrane environment | Variable quality, expensive | Preserving complexes |
| Polymer-based | SMA, DIBMA | Maintains native lipid environment | Limited compatibility with purification methods | Native-state studies |
Assessment of protein homogeneity and stability:
Apply dynamic light scattering to monitor aggregation and size distribution
Perform thermal shift assays to identify stabilizing conditions
Monitor protein stability over time in different storage conditions
Use circular dichroism to assess secondary structure integrity
Investigating protein-protein interactions (PPIs) involving membrane proteins like Spro_2816 requires specialized techniques that accommodate their hydrophobic nature. The following methodological approaches are recommended:
Membrane-specific yeast two-hybrid systems:
Split-ubiquitin membrane yeast two-hybrid (MYTH) specifically designed for membrane proteins
DHFR protein-fragment complementation assay adapted for membrane protein interactions
Methodology should include appropriate controls and validation of membrane localization
Screen against genomic libraries from Serratia proteamaculans for comprehensive interactome mapping
Co-immunoprecipitation approaches:
Cross-linking protocols optimized for membrane proteins prior to solubilization
Gentle detergent solubilization to maintain protein-protein interactions
Tandem affinity purification to reduce false positives
Mass spectrometry analysis with specialized membrane protein identification parameters
Proximity-based labeling methods:
BioID or TurboID fusion constructs to identify proximal proteins in vivo
APEX2-based proximity labeling for temporal control of labeling reactions
Quantitative proteomics to distinguish specific from non-specific interactions
Comparison between active and control conditions to identify context-dependent interactions
These methods should be implemented with appropriate controls, including:
Non-interacting membrane protein controls
Cytoplasmic protein controls to identify nonspecific binding
Reciprocal tagging approaches to confirm interactions
Investigating how environmental conditions affect Spro_2816 expression and function requires a systematic experimental design that accounts for the protein's membrane localization and bacterial origin. The following methodological framework is recommended:
Expression analysis under varying conditions:
Design a qRT-PCR assay targeting the Spro_2816 gene with appropriate reference genes
Develop reporter constructs (e.g., Spro_2816 promoter fused to GFP) to monitor expression in real-time
Create a comprehensive matrix of environmental conditions to test:
Temperature ranges (15-42°C)
pH gradients (5.0-9.0)
Osmotic stress conditions
Nutrient limitations
Exposure to antimicrobial compounds
Growth phase variations
Include time-course sampling to capture dynamic expression patterns
Protein localization and abundance studies:
Generate antibodies specific to Spro_2816 or use epitope-tagged versions
Employ fractionation protocols to isolate membrane compartments
Use Western blotting with quantitative analysis to measure protein levels
Apply proteomics approaches to monitor changes in the membrane proteome
Implement fluorescence microscopy to observe changes in localization patterns
Functional characterization across conditions:
Develop specific assays based on predicted functional properties
Measure membrane integrity and permeability under various conditions
Assess potential transport activity with fluorescent substrates
Monitor protein-protein interactions under different environmental stresses
Examine contribution to stress responses through phenotypic assays
Despite being a bacterial protein with potentially fewer post-translational modifications (PTMs) than eukaryotic proteins, Spro_2816 may still undergo PTMs that affect its function, localization, or interactions. A comprehensive approach to PTM analysis would include:
Mass spectrometry-based PTM identification:
Employ high-resolution tandem mass spectrometry (MS/MS) with multiple fragmentation methods
Use enrichment strategies specific to predicted modifications (phosphorylation, acetylation, methylation)
Apply both bottom-up (peptide-level) and top-down (intact protein) proteomics
Implement targeted multiple reaction monitoring for quantitative analysis of specific PTMs
Consider hydrogen-deuterium exchange mass spectrometry to detect PTM-induced conformational changes
Site-specific PTM validation:
Generate site-specific antibodies against predicted modified residues
Employ site-directed mutagenesis to create non-modifiable variants
Use residue-specific chemical labeling approaches
Apply cross-linking mass spectrometry to identify PTM-dependent interactions
Structural and functional impact assessment:
Compare structures of modified and unmodified proteins using cryo-EM or crystallography
Perform molecular dynamics simulations to predict PTM effects on protein behavior
Assess functional consequences through activity assays with modified and unmodified variants
Examine changes in protein-protein interaction profiles dependent on modification state
When faced with contradictory findings regarding Spro_2816 function, researchers should implement a structured approach to resolve discrepancies :
Systematic context evaluation:
Categorize contradictions based on contextual factors as outlined in the literature :
Internal to the experimental system (species, cell type, protein isoform)
External factors (experimental conditions, reagents, methodologies)
Endogenous/exogenous variables (natural vs. induced protein expression)
Known controversies in the field
Contradictions arising from literature limitations
Create a comprehensive comparison table documenting all experimental variables across contradictory studies
Identify specific differences in experimental design that could explain divergent results
Replication studies with controlled variables:
Design experiments that systematically test each variable identified in the context evaluation
Implement standardized protocols across different laboratory settings
Use identical reagents, cell lines, and experimental conditions where possible
Employ blinded analysis to minimize confirmation bias
Conduct power analysis to ensure adequate statistical strength
Advanced meta-analysis approaches:
Perform quantitative synthesis of available data using meta-analysis techniques
Apply Bayesian methods to incorporate prior knowledge and uncertainty
Develop causal models to explain apparent contradictions
Use sensitivity analysis to determine which factors most strongly influence outcomes
Implement contradiction resolution frameworks developed for biomedical literature
The following table outlines common sources of contradictions in membrane protein studies and resolution strategies:
| Contradiction Source | Example for Membrane Proteins | Resolution Strategy |
|---|---|---|
| Species differences | Protein functions differently in E. coli vs. S. proteamaculans | Compare orthologs in multiple species systematically |
| Membrane composition | Different lipid environments alter function | Standardize reconstitution conditions or test multiple compositions |
| Expression level artifacts | Overexpression causes mislocalization | Use inducible systems to test multiple expression levels |
| Purification method | Detergent choice affects structure | Compare multiple extraction methods in parallel |
| Tag interference | His-tag position alters function | Test multiple tag positions and tag-free protein |
For comprehensive analysis of Spro_2816 and the UPF0266 family, researchers should utilize a strategic combination of bioinformatic tools and databases:
Sequence analysis and evolutionary tools:
BLAST/PSI-BLAST for identifying distant homologs across bacterial species
HMMER for building and searching with profile hidden Markov models
MUSCLE/CLUSTAL for multiple sequence alignment of UPF0266 family members
IQ-TREE/RAxML for phylogenetic tree construction with appropriate evolutionary models
ConSurf for identifying evolutionarily conserved residues
CLANS for visualization of sequence similarity networks
Structural prediction and analysis:
AlphaFold2/RoseTTAFold for state-of-the-art protein structure prediction
SWISS-MODEL for homology modeling when templates are available
TMHMM/TOPCONS for transmembrane topology prediction
PyMOL/Chimera for structural visualization and analysis
CASTp for binding pocket prediction
MDWeb for preparing systems for molecular dynamics simulations
Functional annotation resources:
InterPro for integrated protein domain analysis
STRING for protein-protein interaction network prediction
KEGG for pathway mapping and metabolic context
Gene Ontology for functional term enrichment analysis
UniProt for curated protein information
PredictProtein for comprehensive sequence-based feature prediction
While the specific function of Spro_2816 remains to be fully characterized, research on this membrane protein could lead to several promising research applications:
Membrane protein research model:
Use Spro_2816 as a model system for developing improved membrane protein expression methods
Explore as a test case for membrane protein reconstitution techniques
Develop as a standard for evaluating membrane protein structural prediction algorithms
Employ as a benchmark for optimizing membrane protein purification protocols
Utilize for validating new membrane mimetic systems
Comparative bacterial membrane biology:
Investigate as a representative of bacterial membrane organization
Study evolutionary conservation of UPF0266 family across bacterial species
Examine potential roles in bacterial adaption to environmental stresses
Explore function in bacterial membrane maintenance or remodeling
Investigate potential roles in bacterial communication or sensing
Novel functional discovery platforms:
Develop high-throughput screening methods to identify interacting partners
Create reporter systems to monitor protein activity in response to stimuli
Design biosensors based on conformational changes if identified
Establish conditional expression systems to study phenotypic effects
Implement CRISPR interference approaches for temporal control of expression
Structural biology methodology advancement:
Use as a test case for developing improved membrane protein structure determination techniques
Apply as model system for validating computational structure prediction algorithms
Develop as standard for membrane protein reconstitution protocols
Employ for optimizing electron microscopy sample preparation methods
Utilize for advancing native mass spectrometry approaches for membrane proteins
Several cutting-edge technologies are poised to transform research on uncharacterized membrane proteins like Spro_2816:
Advanced structural biology approaches:
Cryo-electron tomography for visualizing membrane proteins in their native cellular context
Micro-electron diffraction (MicroED) for structure determination from nanocrystals
Integrative structural biology combining multiple data types for comprehensive models
Serial femtosecond crystallography using X-ray free electron lasers
Correlative light and electron microscopy for linking structure to function
Single-molecule techniques:
Single-molecule FRET for dynamic structural analysis
Nanopore-based single-molecule sensing for functional characterization
Atomic force microscopy with chemical recognition for topological mapping
Single-molecule tracking in living cells to monitor dynamics and interactions
Optical tweezers to measure mechanical properties and conformational changes
AI and computational advances:
Deep learning for improved structure and function prediction
Molecular dynamics simulations with enhanced sampling techniques
Machine learning classification of membrane protein structures and functions
Automated literature mining to connect disparate findings
In silico screening for ligands and interaction partners
Next-generation membrane mimetics:
Advanced nanodisc technologies with controlled lipid composition
Cell-free expression systems coupled with membrane scaffolds
3D printed artificial membranes with precise control of properties
Droplet interface bilayers for electrical measurements
DNA-origami scaffolds for precise positioning of membrane proteins
Researchers working with recombinant Spro_2816 may encounter several challenges specific to membrane proteins. Here are common pitfalls and methodological solutions:
Expression and toxicity issues:
Pitfall: Overexpression causing toxicity to host cells
Solution: Implement tightly regulated expression systems with lower induction levels
Pitfall: Formation of inclusion bodies
Solution: Lower expression temperature (16-20°C), use specialized strains (C41/C43), or explore fusion partners
Pitfall: Poor expression yield
Solution: Optimize codon usage, consider alternative expression systems, or use cell-free expression
Membrane extraction and solubilization problems:
Pitfall: Inefficient extraction from membranes
Solution: Screen multiple detergents, optimize detergent:protein ratios, and consider extraction time
Pitfall: Protein aggregation during solubilization
Solution: Add stabilizing agents (glycerol, specific lipids), maintain low temperature throughout
Pitfall: Loss of function during extraction
Solution: Use milder extraction methods (SMA polymers, native nanodiscs) that preserve lipid environment
Purification challenges:
Pitfall: Co-purification of contaminants
Solution: Implement tandem purification strategies using orthogonal tags, optimize wash conditions
Pitfall: Protein degradation during purification
Solution: Add protease inhibitors, minimize processing time, keep samples cold, consider on-column techniques
Pitfall: Poor yield after multiple purification steps
Solution: Minimize purification steps, optimize each step individually, validate recovery
Reconstitution of Spro_2816 into membrane mimetic systems requires careful optimization to maintain protein structure and function. The following methodological framework addresses key considerations:
Selection of appropriate membrane mimetic system:
Evaluate protein requirements based on size, stability, and functional assays
Consider liposomes for functionality studies and transport assays
Use nanodiscs for structural studies requiring a native-like bilayer
Explore bicelles for NMR applications
Test amphipols for single-particle cryo-EM
Consider SMALPs for maintaining native lipid interactions
Optimization of lipid composition:
Analyze lipid composition of Serratia proteamaculans membranes as starting point
Test lipid mixtures systematically varying:
Headgroup composition (PE, PG, cardiolipin ratios)
Acyl chain length and saturation
Inclusion of bacterial-specific lipids
Cholesterol or ergosterol content if applicable
Implement lipid screen assays using thermal stability as readout
Consider native mass spectrometry to identify co-purifying lipids
Reconstitution method selection and optimization:
For liposomes: Compare detergent removal methods
Dialysis (gentle but time-consuming)
Bio-Beads adsorption (faster but potential for protein adsorption)
Cyclodextrin complexation (rapid but expensive)
Dilution method (simple but may result in larger vesicles)
For nanodiscs: Optimize scaffold protein:lipid:target ratios
For bicelles: Determine optimal q-value (long-chain:short-chain lipid ratio)
Monitor reconstitution kinetics to identify optimal endpoints