Recombinant Synechocystis sp. 50S ribosomal protein L23 (rplW)

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In Stock

Product Specs

Form
Lyophilized powder. We will preferentially ship the available format, but if you have special requirements, please note them when ordering, and we will accommodate your request.
Lead Time
Delivery times vary depending on the purchase method and location. Consult your local distributor for specific delivery times. All proteins are shipped with standard blue ice packs. For dry ice shipping, please contact us in advance; additional charges will apply.
Notes
Avoid repeated freezing and thawing. Working aliquots can be stored at 4°C for up to one week.
Reconstitution
Briefly centrifuge the vial before opening to collect contents at the bottom. Reconstitute the protein in sterile deionized water to a concentration of 0.1-1.0 mg/mL. Adding 5-50% glycerol (final concentration) is recommended for long-term storage at -20°C/-80°C. Our default final glycerol concentration is 50% for your reference.
Shelf Life
Shelf life depends on several factors, including storage conditions, buffer composition, storage temperature, and protein stability. Generally, the liquid form has a shelf life of 6 months at -20°C/-80°C, while the lyophilized form has a shelf life of 12 months at -20°C/-80°C.
Storage Condition
Store at -20°C/-80°C upon arrival. Aliquot for multiple uses. Avoid repeated freeze-thaw cycles.
Tag Info
The tag type will be determined during the manufacturing process. If you have a specific tag type requirement, please inform us, and we will prioritize developing the requested tag.
Synonyms
rplW; rpl23; sll1801; 50S ribosomal protein L23
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-101
Protein Length
full length protein
Purity
>85% (SDS-PAGE)
Species
Synechocystis sp. (strain PCC 6803 / Kazusa)
Target Names
rplW
Target Protein Sequence
MSKVIDQRRL ADLIIKPIVT EKATLQLEDN KYVFDVRPEA TKPEIKAAIE LLFDVKVTGV NTARMPRRKK RVGRFMGFKA QVKRAVVTLK EGDSIQLFPD V
Uniprot No.

Target Background

Function
This protein is an early assembly protein that binds 23S rRNA. It is one of the proteins surrounding the polypeptide exit tunnel on the ribosome's exterior and forms the primary docking site for trigger factor binding to the ribosome.
Database Links
Protein Families
Universal ribosomal protein uL23 family

Q&A

What is the structure and function of 50S ribosomal protein L23 in Synechocystis sp. PCC 6803?

The 50S ribosomal protein L23 (rplW) in Synechocystis sp. PCC 6803 is characterized as one of the early assembly proteins that binds to 23S rRNA. This 101-amino acid protein (sequence: MSKVIDQRRLADLIIKPIVTEKATLQLEDNKYVFDVRPEATKPEIKAAIELLFDVKVTGVNTARMPRRKKRVGRFMGFKAQVKRAVVTLKEGDSIQLFPDV) has a molecular mass of approximately 11.5 kDa and belongs to the universal ribosomal protein uL23 family .

Functionally, rplW plays multiple crucial roles:

  • Forms part of the polypeptide exit tunnel on the outside of the ribosome

  • Serves as the main docking site for trigger factor binding to the ribosome

  • Contributes to early ribosome assembly processes through specific 23S rRNA interactions

PropertyCharacteristic
Length101 amino acids
Molecular mass11.5 kDa
FamilyUniversal ribosomal protein uL23
Primary function23S rRNA binding
Secondary functionTrigger factor docking site

How is the rplW gene organized within the Synechocystis genome?

The rplW gene in Synechocystis sp. PCC 6803 is part of the complex transcriptional landscape that has been mapped through comprehensive transcriptome analysis. Genome-wide studies have identified 4,091 transcriptional units in Synechocystis sp. PCC 6803, providing detailed information about operons, 5′ and 3′ untranslated regions (UTRs) .

Within this context, ribosomal protein genes are often organized in operons that allow coordinated expression of these essential components. The genomic organization is particularly important for understanding regulatory mechanisms controlling rplW expression. Through differential RNA-seq (dRNA-seq) analyses, researchers have mapped transcriptional start sites (TSSs) at single-nucleotide resolution, revealing the precise location where transcription of genes like rplW begins under various conditions.

What are the optimal conditions for expressing recombinant rplW protein?

When designing experiments for recombinant rplW expression, researchers should consider several critical factors:

Expression System Selection:

  • E. coli-based systems offer high yield but may lack cyanobacterial post-translational modifications

  • Homologous expression in Synechocystis provides native conditions but with lower yield

  • Cell-free systems may be advantageous for potentially toxic proteins

Optimization Parameters:

  • Temperature: Lower temperatures (15-25°C) often improve folding of ribosomal proteins

  • Induction conditions: Gradual induction typically yields better results than strong induction

  • Solubility tags: Consider fusion partners (MBP, SUMO) to enhance solubility

Potential Challenges:

  • Ribosomal proteins often have high positive charge to facilitate RNA binding, which can lead to solubility issues

  • Proper folding may require the ribosomal context or specific chaperones

  • Toxicity to host cells when overexpressed

How should experimental controls be designed when studying rplW function?

Negative Controls:

  • Empty vector transformants for expression studies

  • Non-target protein (similar size/structure but unrelated function) for interaction studies

  • Mock treatments that mimic experimental conditions without active components

Positive Controls:

  • Known interaction partners of rplW (e.g., trigger factor)

  • Well-characterized ribosomal protein with similar properties

  • Previously validated expression constructs

Technical Controls:

  • Multiple biological replicates (minimum three) for statistical validity

  • Time-series sampling to account for temporal variations

  • Controls for each stage of multi-step protocols

The One-Shot Case Study design should be avoided due to its lack of control and limited scientific value. Instead, researchers should implement Pretest-Posttest Control Group Designs that better account for variables like history, maturation, and testing effects .

How does environmental stress affect rplW expression in Synechocystis?

Transcriptome studies have revealed that Synechocystis sp. PCC 6803 exhibits complex gene expression responses under various stress conditions. While rplW-specific data is limited, we can extrapolate from global transcriptome patterns:

Environmental ConditionDurationExpected Impact on rplW Expression
Cold stress15°C for 30 minLikely decreased expression with potential compensatory mechanisms
Heat stress42°C for 30 minPossible transient upregulation followed by decreased expression
Carbon depletion20 hoursSignificant downregulation as part of energy conservation
Dark conditions12 hoursReduction correlated with decreased photosynthetic activity
Iron limitation24 hoursModerate downregulation as part of stress response
High light470 μmol quanta m⁻² s⁻¹ for 30 minComplex response pattern depending on photodamage extent
Nitrogen depletion12 hoursStrong downregulation as part of stringent response
Phosphate depletion12 hoursModerate to strong downregulation
Stationary phaseOD₇₅₀ of 4.7Generally decreased expression

To specifically study rplW responses, researchers should employ:

  • RT-qPCR for targeted expression analysis

  • Western blotting for protein-level changes

  • Ribosome profiling to assess translational efficiency across conditions

What approaches can resolve contradictory findings about rplW function?

When faced with contradictory findings regarding rplW function, researchers should implement a systematic approach:

1. Methodological Reconciliation:

  • Compare experimental designs, identifying differences in strain backgrounds, growth conditions, and analytical methods

  • Evaluate statistical approaches and sample sizes to determine if discrepancies arise from underpowered studies

  • Examine threshold effects where function may manifest only under specific conditions

2. Multi-technique Validation:

  • Deploy complementary techniques to overcome method-specific limitations

  • For example, combine genetic approaches (knockouts/knockdowns) with biochemical studies and structural analyses

  • Perform in vivo validation of in vitro findings using techniques like fluorescent tagging

3. Context-Dependent Function Analysis:

  • Consider that rplW may exhibit different functions in different cellular contexts

  • Evaluate possible moonlighting functions outside the ribosome

  • Examine condition-specific functions that may resolve apparent contradictions

When designing validation experiments, researchers must be mindful of threats to validity including history effects, maturation, testing influences, and selection biases . These factors can significantly impact experimental outcomes and contribute to seemingly contradictory results.

How can transcriptome analysis inform our understanding of rplW regulation?

Transcriptome analysis provides powerful insights into rplW regulation within the broader context of cellular processes. Differential RNA-seq (dRNA-seq) and RNA-seq approaches have transformed our understanding of the Synechocystis transcriptional landscape .

Key Applications for rplW Research:

1. Transcriptional Start Site (TSS) Mapping:

  • Precise identification of the rplW transcription initiation site

  • Characterization of promoter elements controlling expression

  • Discovery of alternative TSSs under different conditions

2. Operon Structure Determination:

  • Identification of genes co-transcribed with rplW

  • Assessment of polycistronic mRNA processing

  • Detection of internal promoters or terminators

3. Regulatory RNA Interactions:

  • Identification of antisense RNAs that may regulate rplW

  • Characterization of small RNAs affecting ribosomal protein expression

  • RNA thermometers or riboswitches controlling translation

4. Condition-Specific Expression Patterns:

  • Correlation of rplW expression with global transcriptional programs

  • Identification of transcription factors controlling ribosomal gene expression

  • Integration with proteomics to assess post-transcriptional regulation

What methodological approaches are effective for studying rplW interactions with other ribosomal components?

Studying the interactions between rplW and other ribosomal components requires specialized methodological approaches:

In Vitro Approaches:

  • RNA binding assays to characterize 23S rRNA interactions

  • Surface plasmon resonance for binding kinetics determination

  • Isothermal titration calorimetry for thermodynamic parameters

  • Hydrogen-deuterium exchange mass spectrometry for interface mapping

In Vivo Approaches:

  • Crosslinking and immunoprecipitation (CLIP) techniques

  • Proximity labeling with BioID or APEX2 systems

  • Fluorescence resonance energy transfer (FRET) for interaction dynamics

  • Split-protein complementation assays for direct interaction visualization

Structural Approaches:

  • Cryo-electron microscopy of intact ribosomes

  • X-ray crystallography of subcomplexes

  • Nuclear magnetic resonance for dynamic regions

  • Integrative modeling combining multiple data types

Genetic Approaches:

  • Suppressor mutation analysis

  • Site-directed mutagenesis of interaction interfaces

  • Depletion-complementation systems for essential proteins

Each method presents distinct advantages and limitations, necessitating a multi-faceted approach to build a comprehensive understanding of rplW interactions within the complex ribosomal architecture.

How can rplW be used as a model to study ribosomal evolution across cyanobacteria?

The universal ribosomal protein uL23 family, to which rplW belongs, offers unique opportunities for evolutionary studies :

Comparative Genomic Approaches:

  • Sequence analysis across diverse cyanobacterial lineages

  • Identification of conserved versus variable regions

  • Correlation of sequence changes with ecological niches or physiological adaptations

Structural Conservation Analysis:

  • Comparison of rplW positioning within ribosomes across species

  • Assessment of interaction interface conservation

  • Evaluation of structural constraints on evolutionary rates

Functional Substitution Experiments:

  • Replacement of native rplW with orthologs from diverse species

  • Identification of species-specific functional elements

  • Engineering of chimeric proteins to map functional domains

This evolutionary perspective can provide insights into the fundamental constraints and adaptations of the translation machinery across different photosynthetic organisms, potentially revealing specialized adaptations in Synechocystis.

What role might rplW play in adaptation to extreme environmental conditions?

As a key ribosomal component, rplW may contribute to Synechocystis sp. PCC 6803 adaptation to extreme conditions through several mechanisms:

Ribosome Heterogeneity:

  • Potential for condition-specific ribosome populations

  • Altered translation efficiency under stress conditions

  • Selective translation of stress-response mRNAs

Specialized Protein-Protein Interactions:

  • Modified interactions with chaperones like trigger factor

  • Condition-specific binding partners

  • Potential moonlighting functions outside the ribosome

Structural Adaptations:

  • Conformational changes affecting the polypeptide exit tunnel

  • Modified RNA-binding properties

  • Alterations in ribosome assembly pathways

Experimental approaches to investigate these possibilities include ribosome profiling under extreme conditions, comparative interactomics across stress treatments, and structural studies of stress-adapted ribosomes.

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