Many E. coli genes, including those in the "y-" gene family, remain poorly annotated. Large-scale studies have systematically evaluated candidates predicted to function as transcription factors or enzymes.
For ybdJ, no experimental data exists in the provided sources.
While ybdJ itself is not discussed, recombinant expression systems in E. coli are well-established.
Inclusion Body Formation: Common in cytoplasmic expression; mitigated via solubility tags or periplasmic secretion.
Codon Bias: Addressed using plasmids like pRARE.
Oxidative Folding: Enabled by SHuffle® strains expressing DsbC.
If ybdJ were a candidate for recombinant expression:
Predictive Tools: Homology-based algorithms (e.g., HTH domain detection) could classify it as a transcription factor or enzyme.
Expression Setup:
Vectors: pET28a (T7 promoter, His-tag) or pBAD (arabinose induction).
Strains: BL21(DE3) for high yield; SHuffle® for disulfide bonds.
Purification: Affinity chromatography (e.g., Ni-NTA for His-tagged proteins).
Nomenclature Verification: Cross-check ybdJ against E. coli genome databases (e.g., EcoCyc, EcoGene) to confirm orthology.
Functional Screens:
Structural Studies: Crystallography or cryo-EM to determine fold and binding partners.
KEGG: ecj:JW0569
STRING: 316385.ECDH10B_0646
While E. coli ybdJ remains uncharacterized, homology-based analysis suggests it likely functions as a transcriptional regulatory protein. Based on related bacterial transcriptional regulators like YbdO, which has been shown to function as a transcriptional activator in E. coli K1, ybdJ may potentially regulate gene expression by binding to specific DNA sequences . Sequence analysis should be performed using tools such as BLAST against characterized transcription factors from related bacterial species, particularly focusing on DNA-binding domains. Structural predictions using AlphaFold or similar tools would help identify potential DNA-binding motifs.
For recombinant production of E. coli ybdJ, BL21(DE3) or its derivatives are recommended expression hosts due to their reduced protease activity. Expression should be conducted using a pET-based vector system with a 6×His-tag for purification, similar to approaches used for other uncharacterized transcriptional regulators . The expression protocol should include:
Transformation into competent cells
Culture growth to OD600 of 0.6-0.8 at 37°C
Induction with 0.1-1.0 mM IPTG
Post-induction growth at lower temperature (16-25°C) for 4-16 hours to enhance soluble protein yield
Cell harvesting and lysis using sonication or French press
For difficult-to-express proteins, consider codon optimization or fusion partners (MBP, SUMO) to enhance solubility.
Based on data for similar recombinant transcriptional regulatory proteins, purified ybdJ should be stored in a buffer containing 20-50 mM Tris-HCl pH 7.5-8.0, 150-300 mM NaCl, 1-5 mM DTT or 2-10% glycerol . The protein should be aliquoted to avoid repeated freeze-thaw cycles. Lyophilized protein generally maintains stability for approximately 12 months at -20°C/-80°C, while liquid formulations typically have a shelf life of about 6 months at -20°C/-80°C . Stability assessments using techniques such as differential scanning fluorimetry should be performed to optimize buffer conditions.
To identify DNA-binding sites for ybdJ, implement the following methodological approaches:
Chromatin Immunoprecipitation followed by sequencing (ChIP-seq): This in vivo technique requires generating either an antibody against ybdJ or expressing an epitope-tagged version of the protein. Following similar protocols used for other uncharacterized transcription factors, cross-link protein-DNA interactions in living cells, immunoprecipitate the protein-DNA complexes, and sequence the bound DNA fragments .
Electrophoretic Mobility Shift Assay (EMSA): Purify 6×His-tagged ybdJ and incubate with potential promoter regions (300-500 bp upstream of candidate genes) to detect direct binding, as demonstrated for YbdO's interaction with K1 capsule gene promoters .
Systematic Evolution of Ligands by Exponential Enrichment (SELEX): For unbiased identification of binding motifs, incubate purified ybdJ with a random oligonucleotide library, select bound sequences, and amplify them through multiple rounds of selection.
DNA footprinting: Use DNase I protection assays to precisely map the binding site within identified promoter regions.
To determine the regulatory function of ybdJ, implement a multi-faceted approach:
Transcriptome analysis: Compare RNA-seq data between wild-type and ybdJ deletion mutants to identify differentially expressed genes. Upregulated genes in the mutant suggest ybdJ functions as a repressor, while downregulated genes suggest an activator role .
Reporter gene assays: Clone potential target promoters identified from transcriptome analysis upstream of a reporter gene (e.g., lacZ, GFP). Co-express ybdJ and measure reporter activity compared to controls.
In vitro transcription assays: Reconstitute transcription using purified RNA polymerase, ybdJ, and template DNA containing potential target promoters to directly observe effects on transcription initiation.
Bacterial one-hybrid or two-hybrid assays: Use these systems to detect interactions between ybdJ and components of the transcriptional machinery, which may provide insights into its regulatory mechanism.
To identify environmental signals that potentially regulate ybdJ activity:
qRT-PCR analysis under various conditions: Monitor ybdJ expression under different growth conditions (nutrient limitation, pH changes, temperature shifts, exposure to stressors). For instance, YbdO expression increases during E. coli K1 invasion of host cells, possibly in response to endosomal acidic pH .
Western blot analysis: Assess protein levels and potential post-translational modifications under different environmental conditions.
Promoter-reporter fusions: Create transcriptional fusions between the ybdJ promoter and reporter genes to monitor expression changes in response to environmental variables.
Chromatin immunoprecipitation: Perform ChIP under various environmental conditions to determine if DNA binding is conditionally regulated.
Metabolite binding assays: Use techniques like isothermal titration calorimetry (ITC) or differential scanning fluorimetry (DSF) to identify potential small molecule ligands that might bind to and regulate ybdJ activity.
Based on sequence homology to characterized transcriptional regulators like YbdO in E. coli and ybdJ in B. subtilis, ybdJ likely contains:
A DNA-binding domain (potentially a helix-turn-helix motif) at the N-terminus
A signal-sensing or dimerization domain at the C-terminus
Potential sites for post-translational modifications
Structural prediction tools such as AlphaFold and comparative analysis with solved structures of homologous proteins should be employed to generate a predicted structural model. The model should be analyzed for electrostatic surface potential to identify potential interaction interfaces, similar to analyses performed for J-protein networks .
To identify ybdJ interaction partners, employ the following complementary approaches:
Proximity-based ligation assay (PLA): This in situ antibody-based technique can visualize protein complex formation in cells, as demonstrated for J-protein complexes . The technique requires specific antibodies against ybdJ and potential interacting partners.
Co-immunoprecipitation followed by mass spectrometry: Express epitope-tagged ybdJ in E. coli, perform immunoprecipitation, and identify co-precipitating proteins via mass spectrometry.
Bacterial two-hybrid screening: Use ybdJ as bait in a two-hybrid system to screen for interacting partners from an E. coli genomic library.
Cross-linking mass spectrometry: Apply chemical cross-linking to stabilize transient interactions followed by mass spectrometry analysis to identify interaction partners and interfaces.
Fluorescence resonance energy transfer (FRET): Develop a FRET-based assay using fluorophore-labeled ybdJ and potential partners to detect and quantify interactions in vitro or in vivo .
Each method provides complementary information about the interaction network, with varying sensitivities to transient or weak interactions.
The oligomeric state of recombinant ybdJ can be determined using multiple biophysical approaches:
Size exclusion chromatography (SEC): Analyze the elution profile of purified ybdJ compared to molecular weight standards. Use multi-angle light scattering (SEC-MALS) for more accurate molecular weight determination.
Analytical ultracentrifugation (AUC): Perform sedimentation velocity and equilibrium experiments to determine the molecular weight and shape of ybdJ in solution.
Native PAGE: Run purified ybdJ on native polyacrylamide gels alongside known standards to estimate oligomeric state.
Chemical cross-linking: Use bifunctional cross-linking agents followed by SDS-PAGE to capture and visualize oligomeric species.
Dynamic light scattering (DLS): Measure the hydrodynamic radius of ybdJ in solution to estimate its size and potential oligomeric state.
Combining multiple methods provides more reliable characterization of the oligomeric state and its potential regulation by environmental factors or ligand binding.
To assess the functional impact of ybdJ:
Growth curve analysis: Compare growth rates of wild-type, ΔybdJ mutant, and ybdJ-overexpressing strains under various conditions (different media, temperatures, pH values, stress conditions).
Stress response assays: Test resistance to oxidative stress, acid stress, antimicrobial agents, and other stressors by measuring survival rates or zone of inhibition assays.
Biofilm formation: Quantify biofilm formation using crystal violet staining or confocal microscopy with fluorescently labeled strains.
Motility assays: Assess swimming, swarming, and twitching motility on appropriate agar media.
Invasion and adhesion assays: If ybdJ is suspected to regulate virulence factors (similar to YbdO ), evaluate the ability of bacterial strains to adhere to or invade relevant cell lines.
Mouse infection model: For potential virulence-related functions, compare wild-type and mutant strains in appropriate mouse models as done for YbdO in E. coli K1 .
To investigate ybdJ's potential role in antibiotic resistance or stress response:
Minimum inhibitory concentration (MIC) determination: Compare MICs of various antibiotics against wild-type, ΔybdJ mutant, and complemented strains.
Time-kill kinetics: Measure the rate of bacterial killing by antibiotics over time for different strains.
Transcriptome analysis under stress conditions: Perform RNA-seq comparing wild-type and ΔybdJ mutant strains under various stresses to identify differentially regulated stress response genes.
Promoter activity assays: Monitor the activity of stress response gene promoters (e.g., using GFP fusions) in wild-type versus ΔybdJ backgrounds.
Competitive fitness assays: Co-culture wild-type and ΔybdJ strains under stress conditions and monitor relative abundance over time to assess fitness impacts.
The data should be presented in table format comparing wild-type, mutant, and complemented strains across multiple stress conditions or antibiotic concentrations.
To investigate potential virulence-related functions of ybdJ:
Cell invasion assays: Compare the ability of wild-type and ΔybdJ mutant E. coli to invade relevant host cell lines, such as human brain microvascular endothelial cells (HBMECs) as used for YbdO studies .
Animal infection models: Assess bacteremia levels, tissue colonization, and disease progression in mouse models infected with wild-type versus ΔybdJ strains.
Virulence factor expression analysis: Measure expression of known virulence factors (adhesins, toxins, secretion systems) in the presence or absence of ybdJ using qRT-PCR or reporter fusions.
Transcriptome analysis during infection: Perform RNA-seq on bacteria recovered from infection models to identify infection-specific gene regulation dependent on ybdJ.
Immunofluorescence microscopy: Visualize the localization of ybdJ during different stages of infection using fluorescently tagged protein or antibodies.
For each approach, appropriate controls should be included, such as known virulence-attenuated strains (e.g., ΔompA) and complemented mutant strains to confirm the specificity of observed phenotypes.
To define the ybdJ regulon:
Sequential ChIP-seq and RNA-seq analysis: First perform ChIP-seq to identify direct ybdJ binding sites genome-wide. Then conduct RNA-seq comparing wild-type and ΔybdJ strains to identify differentially expressed genes.
Data integration strategy:
Map ChIP-seq peaks to nearby genes (typically within 500 bp upstream of transcription start sites)
Compare ChIP-seq-identified genes with differentially expressed genes from RNA-seq
Genes that appear in both datasets represent the direct regulon
Genes that show expression changes without associated binding sites represent indirect regulation
Motif analysis: Perform de novo motif discovery on ChIP-seq peaks to identify the ybdJ binding motif.
Validation experiments: Confirm direct regulation using reporter assays and site-directed mutagenesis of identified binding sites.
Present results as a regulatory network diagram showing direct and indirect targets, activation/repression relationships, and potential co-regulators.
To assess evolutionary conservation and functional importance:
Phylogenetic analysis: Construct a phylogenetic tree of ybdJ homologs across bacterial species, particularly focusing on other Enterobacteriaceae.
Synteny analysis: Examine gene neighborhood conservation across species, as conserved genomic context often suggests functional relationships.
Selection pressure analysis: Calculate dN/dS ratios to identify regions under purifying or positive selection.
Domain conservation: Map conserved domains and predict their functions based on comparison with characterized proteins.
Co-evolution network analysis: Identify genes that co-evolve with ybdJ across species, suggesting functional relationships.
Structural conservation: Compare predicted structures of ybdJ homologs to identify conserved structural features that may be critical for function.
Present findings as a table showing conservation scores across different bacterial species, highlighting highly conserved regions that likely represent functionally important domains.
To integrate ybdJ into cellular networks:
Network reconstruction: Combine ChIP-seq, RNA-seq, and protein-protein interaction data to place ybdJ in the context of known regulatory networks.
Pathway enrichment analysis: Determine which cellular pathways are statistically enriched among ybdJ targets using tools like KEGG or GO enrichment.
Condition-specific network analysis: Generate network models under different environmental conditions to identify context-dependent regulatory relationships.
Multi-omics integration: Combine transcriptomics, proteomics, and metabolomics data from wild-type and ΔybdJ strains to develop a comprehensive model of ybdJ's impact on cellular physiology.
Flux balance analysis: Use genome-scale metabolic models to predict the impact of ybdJ-mediated regulation on metabolic flux distributions.
Network perturbation analysis: Simulate the effects of ybdJ deletion or overexpression on network properties and cellular phenotypes.
The integrated network should be visualized using appropriate software (e.g., Cytoscape) with nodes representing genes/proteins and edges representing regulatory or physical interactions.
Characterizing uncharacterized proteins like ybdJ presents several methodological challenges:
Functional redundancy: E. coli contains numerous transcriptional regulators with potentially overlapping functions, making phenotype detection difficult. Addressing this requires creating multiple gene knockout combinations and performing analysis under diverse conditions.
Condition-specific activity: Many transcriptional regulators function only under specific environmental conditions, requiring extensive screening to identify relevant activation conditions.
Low expression levels: Transcription factors often express at low levels, making detection and purification challenging. This necessitates sensitive detection methods and optimized expression systems.
Transient interactions: Both protein-DNA and protein-protein interactions may be transient, requiring specialized techniques like cross-linking to capture.
Post-translational modifications: Activity may depend on specific modifications, requiring careful analysis of protein state.
These challenges necessitate integrated approaches combining genomics, transcriptomics, proteomics, and metabolomics with classical molecular biology techniques.
To fully characterize ybdJ function, future research should focus on:
Condition-specific activation: Systematic screening of environmental conditions to identify when ybdJ is active, similar to approaches that identified YbdO activation during host cell invasion .
Structural biology: Solving the three-dimensional structure of ybdJ alone and in complex with DNA and potential protein partners.
Single-cell analysis: Investigating cell-to-cell variability in ybdJ expression and activity using microfluidics and single-cell RNA-seq.
In vivo dynamics: Developing fluorescent protein fusions to monitor real-time localization and dynamics of ybdJ in response to environmental signals.
Synthetic biology applications: Engineering ybdJ-based synthetic circuits for biotechnological applications based on its identified regulatory properties.
Host-pathogen interactions: If virulence-related functions are identified, investigating the role of ybdJ in host-pathogen interactions within relevant infection models.