As part of the 40S subunit, RPS13 facilitates mRNA decoding during translation initiation and elongation .
Binds 18S rRNA and interacts with adjacent ribosomal proteins (e.g., PDCD4) to stabilize ribosome structure .
Autoregulation: RPS13 inhibits splicing of its own pre-mRNA by binding near splice sites in intron 1, forming a feedback loop to control cellular protein levels .
Cancer Research: Acts as a stable reference gene for normalizing gene expression in cancer studies due to minimal expression variability across tissues .
Data from The Human Protein Atlas reveals RPS13’s ubiquitous but variable expression :
Tissue/Cell Type | Expression Level (nTPM) | Reliability Score |
---|---|---|
Cerebral Cortex | 92.1 | Enhanced |
Liver | 85.7 | Supported |
Pancreas | 78.3 | Supported |
Lung | 64.9 | Approved |
Skeletal Muscle | 58.2 | Uncertain |
nTPM: Normalized Transcripts Per Million.
In vitro studies demonstrate that excess RPS13 binds its pre-mRNA near 5′ and 3′ splice sites, reducing splicing efficiency by ~75% .
Conservation of intron 1 across mammals and birds suggests evolutionary importance of this regulatory mechanism .
Cancer Biomarker: RPS13 mRNA stability (ΔCq < 1.0 in qPCR) makes it superior to traditional reference genes (e.g., ACTB, GAPDH) for normalizing gene expression in tumors .
Drug Resistance: Overexpression correlates with multidrug resistance in gastric cancer by suppressing apoptosis .
Recombinant RPS13 (e.g., PRO-1449) is used in:
Storage: Stable at 4°C for 2–4 weeks or -20°C long-term with carrier proteins (e.g., 0.1% HSA) .
PDCD4 Interaction: Modulates translation initiation by competing with eIF4A for ribosomal binding .
Ribosomal Biogenesis: Integral to 18S rRNA processing and 40S subunit maturation .
RPS13 shares homology with prokaryotic ribosomal protein S15, underscoring its conserved role in translation .
Processed pseudogenes of RPS13 are dispersed across the human genome, indicating historical retrotransposition events .
Human RPS13 is a 17 kDa protein containing 151 amino acids that belongs to the S15P family of ribosomal proteins . It functions as a component of the 40S ribosomal subunit, participating in protein synthesis by facilitating the assembly of ribosomes.
The protein is located primarily in the cytoplasm and contains multiple phosphorylated residues that may regulate its function . When studying RPS13, researchers should note that commercial recombinant versions often include tags (such as His-tags) that extend the actual molecular weight to approximately 19.6 kDa .
Structurally, RPS13 (similar to its prokaryotic homolog S15) binds to the central domain of ribosomal RNA and promotes the binding of neighboring proteins during ribosomal subunit assembly . For ribosomal localization studies, fluorescent fusion proteins (such as RPS13-eCFP) typically demonstrate nuclear and nucleolar localization when overexpressed in eukaryotic cells .
The human RPS13 gene contains multiple introns, with intron 1 showing remarkable evolutionary conservation across mammals and birds, suggesting important regulatory functions . Comparative genomic analysis reveals this conservation extends to organisms including Canis familiaris, Rattus norvegicus, Mus musculus, and Gallus gallus .
Similar to other ribosomal protein genes, RPS13 has multiple processed pseudogenes dispersed throughout the genome, a common feature that complicates genomic analysis of ribosomal proteins . The gene is co-transcribed with two U14 small nucleolar RNA genes located in its third and fifth introns .
For experimental analysis of RPS13 gene regulation, researchers should consider:
The presence of specific regulatory elements in intron 1
The differential conservation pattern across introns
The potential for autoregulatory feedback mechanisms
The impact of pseudogenes on experimental design and analysis
Human RPS13 serves multiple roles in cellular biology:
Primary Functions:
Component of the 40S ribosomal subunit essential for protein synthesis
Involved in the early steps of ribosome assembly (similar to its bacterial ortholog)
Participates in the initial stage of pre-18S rRNA processing (based on yeast homolog studies)
Extraribosomal Functions:
Potential role in multidrug resistance in gastric cancer cells by suppressing drug-induced apoptosis
Interaction with PDCD4 (programmed cell death protein 4), suggesting involvement in regulatory pathways beyond translation
Autoregulation of its own gene expression through a feedback mechanism at the pre-mRNA splicing level
For experimental validation of these functions, researchers commonly employ knockdown/knockout approaches, coupled with phenotypic analysis and ribosome profiling to distinguish between translational and extraribosomal effects.
To investigate the autoregulatory mechanism of RPS13, the following experimental approaches are recommended:
Minigene Constructs:
Create reporter gene constructs containing the coding sequence of RPS13 with and without intron 1
Transfect these constructs into appropriate cell lines (e.g., HEK 293 cells)
Measure expression levels using fluorescent reporters like eCFP
Compare expression levels between constructs with and without intron 1
In Vitro Splicing Assays:
Generate 32P-labeled RNA transcripts containing exon-intron boundaries of RPS13
Incubate with purified RPS13 protein under appropriate buffer conditions
Analyze splicing efficiency through gel electrophoresis
Include control RNA transcripts (e.g., fragments of rpS17 and rpS26 pre-mRNAs)
RNA-Protein Binding Studies:
Perform immunoprecipitation using purified antibodies against RPS13
Use protein G-sepharose resin for antibody immobilization
Analyze RNA-protein complexes to identify binding regions
Conduct ribonuclease protection assays to map the exact binding sites near splice junctions
The experimental evidence from these approaches should demonstrate that:
Intron 1 presence reduces expression approximately four-fold in transfection studies
RPS13 protein inhibits excision of intron 1 from its own pre-mRNA in vitro
The protein binds specifically to sequences near the 5′ and 3′ splice sites of intron 1
The binding confers protection against ribonuclease cleavage at these sites
For successful purification and characterization of recombinant RPS13, consider the following methodological approaches:
Expression Systems:
E. coli: Commonly used for high-yield production; protein is expressed as a single, non-glycosylated polypeptide chain
HEK293T cells: Preferred for human post-translational modifications; available as lysates for certain applications
Purification Strategy:
Express RPS13 with an affinity tag (e.g., His-tag at N-terminus)
Use proprietary chromatographic techniques for initial purification
Consider buffer optimization (e.g., 20mM Tris-HCl buffer pH 8.0, 0.2M NaCl, 50% glycerol, and 2mM DTT)
Characterization Methods:
SDS-PAGE for purity assessment and molecular weight confirmation
Western blotting using specific antibodies
Mass spectrometry for exact mass determination and identification of post-translational modifications
Functional assays to verify RNA binding activity
Storage Recommendations:
Store at 4°C if using within 2-4 weeks
For longer periods, store frozen at -20°C
Consider adding carrier protein (0.1% HSA or BSA) for long-term storage
To investigate RPS13's role in ribosome assembly, researchers should consider these experimental approaches:
Ribosome Profiling:
Use sucrose gradient ultracentrifugation to separate ribosomal subunits, monosomes, and polysomes
Analyze fractions for presence of RPS13 using western blotting
Compare profiles between normal and RPS13-depleted cells
Cryo-EM Analysis:
Purify ribosomal subunits from cells with normal or altered RPS13 expression
Use cryo-electron microscopy to visualize structural changes
Map the position of RPS13 within the 40S subunit
Identify interacting partners within the ribosomal complex
In Vivo Assembly Assays:
Create RPS13 variants with specific mutations based on structural data
Express these variants in cells depleted of endogenous RPS13
Analyze effects on ribosome assembly using sucrose gradients
Monitor pre-rRNA processing by northern blotting
SILAC-Based Interaction Studies:
Use stable isotope labeling with amino acids in cell culture (SILAC)
Immunoprecipitate RPS13-containing complexes at different stages of ribosome assembly
Identify stage-specific interaction partners using mass spectrometry
For proper experimental design, researchers should include appropriate controls and validate findings using multiple complementary approaches. When analyzing data, consider both statistical significance and biological relevance of observed changes.
To explore RPS13's potential extraribosomal functions in cancer, particularly its reported role in multidrug resistance in gastric cancer , consider the following experimental approaches:
Gene Expression Manipulation:
Use siRNA/shRNA for transient or stable knockdown of RPS13 in cancer cell lines
Employ CRISPR-Cas9 for complete knockout studies
Create overexpression systems with inducible promoters
Develop rescue experiments with wild-type and mutant RPS13 variants
Functional Assays:
Drug sensitivity testing using dose-response curves in cells with altered RPS13 expression
Apoptosis assays (e.g., Annexin V/PI staining, caspase activity) to evaluate RPS13's reported anti-apoptotic effects
Cell cycle analysis to identify potential cell cycle regulatory roles
Migration and invasion assays to assess effects on metastatic potential
Molecular Mechanism Investigation:
Immunoprecipitation followed by mass spectrometry to identify cancer-specific interaction partners
ChIP-seq or CLIP-seq to identify DNA/RNA binding targets
Phosphoproteomics to characterize RPS13 post-translational modifications in cancer contexts
Pathway analysis to determine signaling networks affected by RPS13 modulation
In Vivo Models:
Xenograft studies using cancer cells with manipulated RPS13 expression
Patient-derived xenografts to validate findings in more clinically relevant models
Analysis of cancer patient samples for RPS13 expression correlation with clinical outcomes
When designing these experiments, researchers should carefully separate ribosomal from extraribosomal functions by including appropriate controls (e.g., other ribosomal proteins) and considering the use of RPS13 mutants that specifically disrupt extraribosomal functions while maintaining ribosomal incorporation.
To investigate the evolutionary conservation of RPS13 regulation across species, particularly focusing on the highly conserved intron 1 region , implement these methodological approaches:
Comparative Genomics:
Perform multi-species alignment of RPS13 gene sequences, particularly focusing on intron 1 regions
Use tools like Evolutionary Conserved Regions (ECR) Browser to visualize conservation patterns
Identify specific regulatory elements through motif discovery algorithms
Analyze selective pressure on different regions using dN/dS ratio calculations
Functional Conservation Testing:
Create hybrid minigene constructs containing intron 1 from different species
Test the autoregulatory capacity of these constructs in human cell lines
Perform cross-species binding assays with purified RPS13 proteins and heterologous pre-mRNAs
Analyze conservation of autoregulation mechanisms in model organisms
Experimental Validation Table:
Evolutionary Analysis:
Reconstruct the evolutionary history of RPS13 regulation
Correlate regulatory changes with species-specific translational requirements
Compare conservation patterns of RPS13 with other ribosomal proteins
Analyze co-evolution with interacting partners (e.g., PDCD4)
For comprehensive analysis, integrate findings from comparative genomics with experimental validation and consider the broader context of ribosome evolution and adaptation.
The interaction between RPS13 and programmed cell death protein 4 (PDCD4) has been documented , but the functional implications remain an area for active research. To investigate this interaction:
Interaction Characterization:
Conduct co-immunoprecipitation experiments with tagged versions of both proteins
Perform proximity ligation assays to visualize interactions in situ
Use yeast two-hybrid or mammalian two-hybrid systems for domain mapping
Employ FRET/BRET approaches to monitor interaction dynamics in living cells
Structural Studies:
Express and purify the interacting domains of both proteins
Perform X-ray crystallography or NMR spectroscopy to determine the structure of the complex
Use computational modeling to predict interaction interfaces
Validate structural predictions with site-directed mutagenesis
Functional Consequences:
Analyze the impact of PDCD4 on RPS13's ribosomal functions
Investigate how RPS13 affects PDCD4's known tumor suppressor activities
Examine the influence of this interaction on translation regulation
Study effects on apoptosis pathways, connecting to RPS13's reported role in drug resistance
Regulatory Mechanisms:
Determine if post-translational modifications regulate the interaction
Investigate whether cellular stress conditions modulate the binding
Examine cell-cycle dependence of the interaction
Explore tissue-specific variations in the interaction pattern
When designing experiments, consider that PDCD4 is known to interact with translation initiation factors (particularly eIF4A), which may provide context for understanding how RPS13-PDCD4 interaction influences translation regulation beyond canonical ribosomal functions.
Researchers frequently encounter specific challenges when working with RPS13. Here are methodological solutions to common problems:
Expression Challenges:
Challenge | Potential Solution | Scientific Rationale |
---|---|---|
Low solubility | Express at lower temperatures (16-20°C) | Reduces aggregation by slowing protein folding |
Inclusion body formation | Use solubility tags (e.g., MBP, SUMO, TRX) | Enhances solubility through chaperone-like effects |
Toxicity to host cells | Use tightly controlled inducible systems | Minimizes basal expression that may be toxic |
Incorrect folding | Co-express with ribosomal RNA | Mimics natural folding environment |
Purification Challenges:
Prevent aggregation by including mild detergents or higher salt concentrations in buffers
Add reducing agents (like DTT or β-mercaptoethanol) to prevent disulfide bond formation
Include glycerol (50%) to stabilize the protein during storage
Use staged purification with multiple chromatographic methods for higher purity
Quality Control Recommendations:
Verify protein identity by mass spectrometry or N-terminal sequencing
Assess functional activity through RNA binding assays
Check for proper folding using circular dichroism
Analyze aggregation state using size-exclusion chromatography
Storage Optimization:
Store small aliquots to avoid repeated freeze-thaw cycles
Test protein activity after storage to ensure functionality is maintained
Add carrier proteins for dilute solutions to prevent adsorption to tubes
When faced with contradictory results in RPS13 research, apply these methodological approaches:
Systematic Analysis of Variables:
Evaluate cellular context differences (cell types, growth conditions)
Compare protein expression levels across studies (physiological vs. overexpression)
Assess methodology differences (in vitro vs. in vivo, acute vs. chronic manipulation)
Review genetic background of model systems used
Technical Validation:
Repeat experiments with multiple methodologies (e.g., different knockdown techniques)
Use complementary approaches to measure the same outcome
Verify antibody specificity with appropriate controls
Include rescue experiments to confirm specificity of observed phenotypes
Reconciliation Strategies:
Develop unifying hypotheses that explain seemingly contradictory results
Consider context-dependent regulation or functions
Investigate potential post-translational modifications that might explain functional differences
Examine potential compensatory mechanisms in different experimental systems
Experimental Design for Resolution:
Design decisive experiments specifically targeting the contradiction
Include side-by-side comparisons of conflicting methodologies
Collaborate with labs reporting contradictory results
Implement blinded analysis to reduce unconscious bias
When publishing results, transparently discuss contradictions in the literature and provide evidence supporting your interpretation while acknowledging alternative explanations.
Differentiating between canonical ribosomal functions and extraribosomal roles of RPS13 requires careful experimental design:
Strategic Mutant Design:
Create RPS13 variants with mutations that specifically disrupt ribosome incorporation
Develop mutations that maintain ribosomal integration but alter putative extraribosomal functions
Use structure-guided design based on available ribosome structural data
Test each mutant for ribosomal incorporation before functional studies
Differential Knockdown/Rescue Approaches:
Deplete endogenous RPS13 using siRNA targeting UTRs
Rescue with wild-type or specific mutant versions
Compare phenotypic outcomes between different rescue constructs
Analyze both ribosomal (translation) and non-ribosomal (e.g., apoptosis) readouts
Subcellular Localization Studies:
Use immunofluorescence or fluorescent protein fusions to track RPS13 localization
Compare distribution to established ribosomal markers
Identify non-ribosomal pools of RPS13 through co-localization studies
Implement live-cell imaging to track dynamic localization changes
Biochemical Fractionation:
Separate ribosomal and non-ribosomal cellular fractions
Quantify RPS13 distribution across fractions
Identify unique interaction partners in different fractions
Compare stress-induced changes in distribution
When analyzing data, consider that changes in RPS13 will inherently affect ribosome biogenesis and function, potentially causing indirect effects that may be misinterpreted as direct extraribosomal functions.
Several cutting-edge technologies hold promise for deepening our understanding of RPS13 functions:
CRISPR-Based Technologies:
CRISPRi/CRISPRa for precise modulation of RPS13 expression
Base editing for introduction of specific mutations without double-strand breaks
Prime editing for precise nucleotide changes in the RPS13 gene
CRISPR screening to identify genetic interactors of RPS13
Advanced Imaging Approaches:
Super-resolution microscopy to visualize RPS13 within ribosomal complexes
Live-cell imaging with split fluorescent proteins to monitor dynamic interactions
APEX2 proximity labeling to map the RPS13 neighborhood in living cells
Correlative light and electron microscopy for ultrastructural localization
Transcriptome/Proteome Analysis:
Ribosome profiling to identify RPS13-dependent translation events
Targeted RNA-seq of ribosome-associated mRNAs
Proteomics to identify RPS13-dependent changes in protein expression
Proximity-dependent biotin identification (BioID) to map protein interaction networks
Structural Biology Innovations:
Cryo-electron tomography to visualize RPS13 in cellular context
Integrative structural biology combining multiple data sources
Time-resolved structural studies to capture dynamic conformational changes
AlphaFold2 and related AI approaches to predict interaction interfaces
Each of these technologies offers unique advantages for specific aspects of RPS13 research, and often the combination of multiple approaches provides the most comprehensive understanding.
The autoregulatory mechanism of RPS13, whereby the protein inhibits splicing of its own pre-mRNA , has potential therapeutic implications that could be explored through these research directions:
Therapeutic Target Evaluation:
Assess whether disruption of RPS13 autoregulation affects cancer cell survival
Investigate potential selectivity between normal and malignant cells
Determine if RPS13 autoregulation interfaces with drug resistance mechanisms
Explore connections to other splicing-related therapeutic targets
Drug Discovery Approaches:
Screen for small molecules that modulate RPS13-pre-mRNA interaction
Develop antisense oligonucleotides targeting regulatory elements in intron 1
Design RNA decoys to sequester excess RPS13 and prevent autoregulation
Identify natural products that might interfere with RPS13 splicing regulation
Mechanistic Considerations for Therapy Development:
Map the precise binding site of RPS13 on its pre-mRNA for targeted intervention
Characterize structural features of the RPS13-RNA complex
Identify cofactors involved in the autoregulatory process
Investigate tissue-specific variations in autoregulation that might affect therapeutic window
Translational Research Roadmap:
Validate targets in patient-derived samples
Develop appropriate biomarkers for patient stratification
Design rational combination strategies based on molecular mechanisms
Establish appropriate preclinical models for testing therapeutic hypotheses
When considering the therapeutic potential, researchers should carefully balance potential benefits against the fundamental importance of RPS13 in protein synthesis, which could limit the therapeutic window of any intervention targeting this pathway.
Based on current knowledge and emerging trends, these research directions hold significant promise for elucidating RPS13's role in disease:
Cancer Biology:
Investigate RPS13 expression patterns across cancer types and correlation with patient outcomes
Explore mechanistic connections between RPS13 and drug resistance pathways
Examine potential interactions with cancer-associated signaling networks
Assess RPS13's influence on cancer-specific translation programs
Ribosomopathies:
Evaluate whether RPS13 mutations or dysregulation contribute to known ribosomopathies
Investigate tissue-specific manifestations of RPS13 dysfunction
Explore connections between RPS13 and ribosomal stress responses
Develop models to study RPS13-associated developmental abnormalities
Immunological Contexts:
Examine RPS13's potential role in immune cell translation regulation
Investigate connections to inflammatory responses
Explore potential autoimmune aspects related to RPS13 (e.g., as an autoantigen)
Assess implications for immune surveillance in cancer
Neurodegenerative Diseases:
Study RPS13's role in neuron-specific translation regulation
Investigate potential connections to protein aggregation disorders
Examine stress granule dynamics in relation to RPS13 function
Assess implications for age-related translation dysregulation
For maximum impact, researchers should consider integrating these disease-focused studies with basic mechanistic investigations of RPS13 function, employing interdisciplinary approaches that combine molecular, cellular, and physiological perspectives.
RPS13 belongs to the S15P family of ribosomal proteins and is a part of the 40S subunit of the ribosome . The ribosome itself is a large ribonucleoprotein complex responsible for translating mRNA into proteins. During the assembly of the small subunit (SSU) processome in the nucleolus, RPS13, along with other ribosomal proteins and biogenesis factors, associates with nascent pre-rRNA to facilitate RNA folding, modifications, rearrangements, and cleavage .
The expression of the RPS13 gene is regulated at multiple levels, including transcription, translation, and splicing . Interestingly, RPS13 has been shown to regulate its own gene expression through a feedback mechanism at the splicing step. This autoregulation involves the inhibition of intron 1 excision from its pre-mRNA, thereby controlling the levels of RPS13 protein within the cell .
RPS13 is associated with several biological pathways, including viral mRNA translation and nervous system development . Dysregulation of ribosomal protein genes, including RPS13, can lead to various critical consequences such as malignant transformation, apoptosis, and developmental malformations . Additionally, RPS13 has been identified as a potential universal reference gene for transcript level studies across different human normal and tumor types .
Human recombinant RPS13 is widely used in research to study ribosome assembly, protein synthesis, and gene regulation mechanisms. Its role in feedback regulation and involvement in various cellular processes make it a valuable tool for understanding the complexities of gene expression and protein synthesis.