The antibody has been validated for multiple experimental techniques:
In cervical cancer (CC) studies, the antibody revealed that RPL24 expression is downregulated in CC tissues compared to normal tissues (P < 0.01) . High RPL24 levels correlated with favorable recurrence-free survival (HR = 0.21; 95% CI, 0.06–0.69) in CC patients. The antibody was used in Western blotting to quantify RPL24 protein levels after cisplatin (CDDP) treatment, demonstrating its role in G2/M cell cycle arrest .
In studies on microRNA (miR) processing, the antibody confirmed that RPL24 interacts with DDX5 (a microprocessor complex component) to inhibit pri-miR-608 maturation. RPL24 depletion increased mature miR-608 levels by >3-fold in HEK293T cells .
The antibody was used to validate RPL24’s tumor-suppressive effects in Apc-deficient Kras-mutant colorectal cancer (CRC) models. Reduced RPL24 expression increased eEF2 phosphorylation, inhibiting translation elongation and slowing tumor growth .
The RPL24 Antibody has emerged as a critical tool for investigating RPL24’s dual roles:
Tumor suppression: High expression predicts favorable outcomes in cervical cancer .
Translation regulation: Modulates miR biogenesis and eEF2-mediated elongation .
Its versatility across techniques underscores its value in unraveling ribosome-related mechanisms in oncology.
RPL24 (60S ribosomal protein L24) is a component of the large ribosomal subunit in eukaryotes, belonging to the eukaryotic ribosomal protein eL24 family. It plays a critical role in protein synthesis as part of the ribosomal translation machinery. The protein has a calculated molecular weight of approximately 18 kDa, although it is typically observed at 21-23 kDa in experimental conditions due to post-translational modifications . Beyond its canonical role in translation, emerging evidence suggests that RPL24 may have extraribosomal functions that influence cellular processes including proliferation and oncogenic signaling .
RPL24 antibodies have demonstrated effectiveness across multiple laboratory techniques:
The versatility of these antibodies enables comprehensive characterization of RPL24 in various experimental contexts, from protein expression to protein-RNA interactions.
Most commercially available RPL24 antibodies demonstrate reactivity with human samples as the primary target. Many antibodies also cross-react with mouse and rat samples due to the high sequence conservation of ribosomal proteins across species . Some antibodies have documented cross-reactivity with additional species including pig, zebrafish, bovine, sheep, rabbit, dog, chicken, and xenopus, though validation studies may vary between manufacturers . When selecting an antibody for multi-species applications, it's advisable to check the manufacturer's validation data for species-specific reactivity.
Optimizing Western blot conditions for RPL24 detection requires attention to several critical parameters:
Sample preparation: Extract proteins using RIPA lysis buffer with protease inhibitors
Protein loading: 50 μg of protein per lane is typically sufficient
Transfer: Standard electrophoretic transfer to PVDF membranes
Blocking: 5% non-fat dry milk in PBST (0.1% Tween 20) for 1 hour at room temperature
Primary antibody incubation: Apply at manufacturer-recommended dilution (typically 1:500 to 1:50000) at 4°C overnight or room temperature for 1.5 hours
Detection: Use enhanced chemiluminescence reagents for visualization
Quantification: Employ ImageJ or similar software, normalizing to housekeeping proteins (β-actin is commonly used)
Researchers should note the difference between calculated (18 kDa) and observed (21-23 kDa) molecular weights to avoid misidentification of the target band .
Creating reliable experimental models for studying RPL24 function requires careful consideration of expression systems:
For overexpression models:
Clone full-length human RPL24 sequences (NM_000986.4) into appropriate expression vectors such as pcDNA3.0
Transfect target cells using standard reagents like Lipofectamine 2000
Select positive clones using G418-containing media for transient expression
Alternatively, use lentiviral vectors (e.g., Pez-Lv105) for stable expression
Verify expression levels via Western blot using validated RPL24 antibodies
For in vivo validation:
Inject stable cell lines subcutaneously into immunodeficient mice (e.g., NOD/SCID)
Monitor tumor formation and growth over time (typically measurable 7-9 days post-injection)
Calculate tumor volume using the formula: Volume = (length × width²) × 1/2
Analyze effects on tumor development, growth kinetics, and treatment response
These models are essential for investigating RPL24's functional roles in normal and pathological contexts.
Research has revealed significant associations between RPL24 and cancer:
These findings suggest that RPL24 may represent both a biomarker and potential therapeutic target in certain cancer contexts. Targeted inhibition of RPL24 or related pathways might offer novel treatment strategies, particularly for cancers driven by Akt or Myc.
Comprehensive validation is essential for generating reliable data with RPL24 antibodies:
Positive controls: Include lysates from cells known to express RPL24 (A549, HEK-293, Jurkat cells) in experimental workflows
Negative controls:
Primary antibody omission controls
Ideally, include RPL24 knockdown/knockout samples to confirm specificity
Cross-validation approaches:
Application-specific validation:
These validation steps help minimize artifacts and ensure that observed signals genuinely reflect RPL24 expression or localization.
Successful IHC staining for RPL24 requires careful optimization:
Fixation and processing: Standard formalin fixation and paraffin embedding protocols are typically suitable
Antigen retrieval: Most protocols recommend TE buffer pH 9.0, though citrate buffer pH 6.0 may also be effective
Blocking: Employ appropriate blocking reagents to minimize non-specific binding
Antibody concentration: Titrate between 1:50-1:500 dilutions to determine optimal signal-to-noise ratio for your specific tissue type
Detection system: Standard avidin-biotin or polymer-based detection systems are suitable
Counterstaining: Hematoxylin provides effective nuclear contrast
Controls: Include known positive tissues such as human placenta, kidney, liver, spleen, or ovary tissue
Evaluation: Assess both staining intensity and percentage of positive cells for comprehensive analysis
The observed molecular weight of RPL24 in Western blot (21-23 kDa) frequently differs from its calculated mass (18 kDa) , which can create confusion in data interpretation. Researchers should:
Understand potential causes:
Post-translational modifications (phosphorylation, ubiquitination)
Altered gel migration due to protein structure or composition
Incomplete denaturation affecting migration
Implementation strategies:
Run positive control samples with confirmed RPL24 expression
Consider using reducing agents like DTT to ensure complete denaturation
Include molecular weight markers spanning 15-25 kDa range
Document laboratory-specific migration patterns for reference
Validation approaches:
Perform additional experiments using antibodies targeting different epitopes
If necessary, confirm identity through mass spectrometry
Consider running 2D gels to better characterize RPL24 isoforms
Recent research indicates promising applications for RPL24 as a cancer biomarker:
Differential expression: Two-thirds of breast cancers show upregulated RPL24 expression compared to matched normal tissue, suggesting diagnostic potential
Predictive value: RPL24 has been identified as a potential biomarker for predicting cervical cancer patient prognosis and assessing concurrent chemoradiotherapy (CCRT) efficacy
Mechanistic relevance: RPL24 haploinsufficiency protects against Akt or Myc-driven cancers, suggesting biological significance beyond correlation
Implementation considerations for biomarker development include:
Standardization of detection methods across clinical laboratories
Establishment of reference ranges in healthy and diseased states
Prospective validation in diverse patient cohorts
Integration with existing biomarker panels for improved predictive power
To explore the relationship between RPL24 and treatment response:
In vitro approaches:
In vivo strategies:
Develop xenograft models with modulated RPL24 expression
Evaluate tumor growth kinetics and response to treatment regimens
Analyze tumor samples for RPL24 expression correlation with treatment response
Analytical considerations:
Combine protein (Western blot, IHC) and transcript (qPCR, RNA-seq) analyses
Evaluate temporal dynamics of expression changes during treatment
Consider correlation with established markers of treatment response
These approaches can help elucidate whether RPL24 is merely a marker or a functional mediator of treatment response in cancer.
Emerging evidence suggests RPL24 may influence translation in ways extending beyond structural support:
Selective mRNA translation: RPL24 may differentially affect translation of specific mRNA subsets, potentially influencing cellular phenotypes
Signaling pathway crosstalk: The relationship between RPL24 and oncogenic pathways (Akt, Myc) suggests it may integrate signaling and translational regulation
Extraribosomal functions: Like many ribosomal proteins, RPL24 may perform roles independent of the ribosome
Stress response: RPL24 might participate in translational reprogramming during cellular stress
Experimental approaches to investigate these functions include ribosome profiling, RNA immunoprecipitation, and proteomics analysis of RPL24-associated complexes. Understanding these non-canonical roles may reveal new therapeutic opportunities in diseases characterized by dysregulated translation.
Accurate quantification requires appropriate methodological approaches:
| Level | Method | Key Considerations |
|---|---|---|
| Transcript | qRT-PCR | Use validated primers spanning exon junctions; normalize to stable reference genes |
| Transcript | RNA-seq | Account for sequencing depth and transcript length; validate key findings with qRT-PCR |
| Protein | Western blot | Use densitometry with appropriate normalization; include standard curve for quantitative comparisons |
| Protein | IHC/IF | Employ digital image analysis scoring both intensity and percentage of positive cells |
| Protein | Flow cytometry | Optimize permeabilization for intracellular staining; use appropriate negative controls |
For all quantification methods, researchers should:
Include appropriate technical and biological replicates
Apply statistical tests suitable for the experimental design
Consider the relationship between transcript and protein levels, which may not always correlate
Experimental design for exploring RPL24's role in cancer requires:
Expression manipulation strategies:
CRISPR-based knockout or knockdown approaches
Overexpression of wild-type or mutant forms
Inducible expression systems for temporal control
Pathway analysis frameworks:
Translation-specific investigations:
Polysome profiling to assess global translation effects
Ribosome profiling to identify differentially translated mRNAs
Metabolic labeling to measure protein synthesis rates
Clinical relevance:
Correlate experimental findings with patient data
Stratify analyses based on cancer subtypes and stages
Consider potential therapeutic implications
This multi-faceted approach can help delineate whether RPL24 represents a passenger or driver in cancer development and progression.