RPS29 is a structural component of the 40S ribosomal subunit, critical for protein synthesis. Beyond translation, it binds zinc ions and interacts with proteins like CYP6N3, a cytochrome P450 enzyme linked to metabolic resistance in insects .
Proteasomal Degradation of CYP6N3: Overexpression of RPS29 reduces CYP6N3 protein levels via proteasomal degradation, diminishing deltamethrin resistance in mosquito cells. Conversely, CYP6N3 overexpression stabilizes RPS29 .
Binding Confirmation: GST pull-down assays and immunofluorescence confirmed direct interaction between RPS29 and CYP6N3 in vitro and in vivo .
Functional Assays: CCK-8 assays showed RPS29 overexpression reverses CYP6N3-mediated resistance, while RPS29 knockdown enhances cell viability under deltamethrin exposure .
Species Reactivity: Aviva’s ARP40329_T100-FITC exhibits broader cross-reactivity (e.g., mouse, rat, zebrafish) compared to others limited to human .
Application Diversity: ARP40329_T100-FITC supports IHC and WB, while others (e.g., ABIN6107871) are restricted to ELISA .
Expanded Cross-Reactivity Studies: Validate RPS29 antibodies in non-human models (e.g., zebrafish, yeast) .
Therapeutic Implications: Explore RPS29’s role in modulating proteasomal pathways in diseases like Diamond-Blackfan anemia .
Optimization for High-Throughput Assays: Develop conjugates with enhanced stability for automated platforms.
What is RPS29 and why is it important in cellular research?
RPS29 (Ribosomal Protein S29) is a component of the 40S ribosomal subunit and a member of the S14P family of ribosomal proteins. This small protein (56 amino acids, 6.7 kDa) contains a C2-C2 zinc finger-like domain that can bind to zinc and enhances the tumor suppressor activity of Ras-related protein 1A (KREV1) . RPS29 is critical for proper ribosome biogenesis and protein synthesis, making it an important target in research focused on cellular growth, proliferation, and disease mechanisms. Notably, the RPS29 gene has been associated with Diamond-Blackfan anemia (DBA), a rare congenital disease characterized by defective erythroid progenitor maturation .
What are the basic applications of RPS29 Antibody, FITC conjugated?
The FITC-conjugated RPS29 antibody is primarily used for:
Immunofluorescence (IF) detection of endogenous RPS29 protein
Flow cytometry analysis of cells expressing RPS29
The antibody typically detects the amino acid sequence 2-56 of human RPS29, allowing visualization of this ribosomal protein in subcellular locations, primarily the cytoplasm and endoplasmic reticulum .
How should RPS29 Antibody, FITC conjugated be stored for optimal stability?
For optimal stability and performance:
Store the antibody at -20°C or -80°C upon receipt
Avoid repeated freeze-thaw cycles as this can damage the antibody and reduce its effectiveness
The antibody is typically supplied in a buffer containing 50% glycerol and 0.01M PBS (pH 7.4) with preservatives like 0.03% Proclin 300
Aliquoting the antibody before freezing is recommended if multiple uses are anticipated
How can I validate the specificity of RPS29 Antibody, FITC conjugated in my experimental system?
Validating antibody specificity is crucial for reliable results. For RPS29 Antibody, FITC conjugated:
Positive controls: Use cell lines known to express RPS29 (e.g., HeLa, HepG2)
Competitive inhibition: Pre-incubate the antibody with recombinant RPS29 protein before staining to confirm specificity
siRNA knockdown: Compare staining between wild-type cells and cells with RPS29 knockdown
Western blot validation: If possible, run a parallel western blot to confirm the antibody detects a band at ~7 kDa
Flow cytometry validation: Compare with an isotype control and analyze quenching of fluorescence upon pre-incubation with anti-FITC antibodies
What are the optimal conditions for using RPS29 Antibody, FITC conjugated in flow cytometry experiments?
For optimal flow cytometry results:
| Parameter | Recommended Condition |
|---|---|
| Cell number | 1 × 10^6 cells per sample |
| Dilution range | 1:50 to 1:100 (optimize for your specific conditions) |
| Staining temperature | 30 minutes at 37°C |
| Washing buffer | PBS with 0.1-0.5% BSA |
| Controls | Unstained cells, isotype control, and if possible, RPS29-negative cells |
| Fixation | For intracellular staining, use appropriate fixation/permeabilization kit |
| Acquisition | Excitation ~495nm, emission peak ~525nm |
When analyzing results, gate on live, single cells first before examining RPS29 expression patterns . Remember that as a ribosomal protein, RPS29 has relatively high background expression in most cell types.
How can I distinguish between specific RPS29 staining and autofluorescence when using FITC-conjugated antibodies?
Distinguishing specific staining from autofluorescence is particularly important with green fluorophores like FITC:
Include appropriate negative controls (unstained and isotype controls)
Consider using spectral unmixing if available on your flow cytometer
Implement a quenching validation test: pre-incubate a sample with anti-FITC antibodies to confirm specific quenching of the FITC signal
Use cell lines with known differential expression of RPS29 as comparative controls
For microscopy applications, examine subcellular localization patterns - genuine RPS29 staining should show cytoplasmic/ER distribution
If possible, perform parallel staining with a differently conjugated RPS29 antibody (e.g., PE or APC) to confirm staining patterns
What is the relationship between RPS29 expression and Diamond-Blackfan anemia, and how can FITC-conjugated RPS29 antibodies contribute to this research?
Diamond-Blackfan anemia (DBA) is associated with mutations in genes encoding ribosomal proteins, including RPS29:
RPS29 mutations in DBA patients cause haploinsufficiency (reduced expression) compared to wild-type RPS29 expression
This leads to defective pre-ribosomal RNA (rRNA) processing and impaired ribosome biogenesis
RPS29 mutations fail to rescue defective erythropoiesis in rps29(-/-) mutant zebrafish DBA models
FITC-conjugated RPS29 antibodies can contribute to DBA research by:
Enabling flow cytometric analysis of RPS29 expression levels in patient-derived samples
Facilitating visualization of RPS29 localization in erythroid progenitor cells
Allowing quantitative assessment of RPS29 expression in different cell populations during erythroid differentiation
Supporting studies on pre-rRNA processing defects by correlating RPS29 levels with other markers of ribosome biogenesis
How can I optimize multiplex immunofluorescence experiments using RPS29 Antibody, FITC conjugated alongside other markers?
For successful multiplex immunofluorescence:
Panel design: Carefully select fluorophores with minimal spectral overlap with FITC (emission peak ~525nm)
Titration: Determine optimal antibody concentration through titration experiments for each marker
Compensation: Perform proper compensation using single-stained controls
Sequential staining: Consider sequential rather than simultaneous staining if cross-reactivity is observed
Fixation protocol: Optimize fixation and permeabilization protocols as these can affect epitope accessibility
Blocking strategy: Use appropriate blocking to reduce non-specific binding
Controls: Include fluorescence-minus-one (FMO) controls for accurate gating
When studying ribosomal proteins like RPS29 alongside other markers, remember that RPS29 is widely expressed in many cell types, so careful analysis is needed to interpret differential expression patterns .
What methodological considerations are important when using RPS29 Antibody, FITC conjugated for studying pre-rRNA processing defects?
When investigating pre-rRNA processing:
Sample preparation: Extract total RNA with methods that preserve both mature and pre-rRNA species
RNA integrity: Confirm RNA integrity using bioanalyzer (RIN values >8 are preferred)
Complementary techniques: Combine FITC-RPS29 antibody staining with Northern blot analysis of pre-rRNA species
Control selection: Use appropriate controls including cells with known normal and abnormal pre-rRNA processing
Quantification: Analyze the 32S/18S and 28S/18S ratios as indicators of processing defects
Cell sorting strategy: Consider sorting cells based on RPS29-FITC signal intensity before RNA analysis
Time course experiments: Design experiments to capture kinetics of pre-rRNA processing
Pre-rRNA processing defects in RPS29-deficient cells typically show increased 32S pre-rRNA levels and may affect the 18SE pre-rRNA, the immediate precursor to mature 18S rRNA .
How can I analyze RPS29 expression in hematopoietic stem cells and erythroid progenitors using FITC-conjugated antibodies?
For analyzing RPS29 in hematopoietic and erythroid cells:
| Cell Type | Surface Markers for Co-staining | Recommended Approach |
|---|---|---|
| HSCs | CD34+, CD117/c-Kit+, Sca-1+ | Use RPS29-FITC with PE/APC-conjugated HSC markers |
| Erythroid progenitors | CD235+, CD41- | Monitor RPS29 during erythroid differentiation |
| B cell lineage | CD19+, B220+ | Analyze RPS29 expression during B cell development |
Methodological considerations:
For flow cytometry, use compensation beads for accurate setup
Include FMO controls for proper gating
Consider fixation and permeabilization optimization for intracellular RPS29 staining
For analyzing erythroid differentiation, establish a timeline with multiple timepoints
When analyzing bone marrow samples, implement proper erythrocyte lysis procedures
This approach enables correlation of RPS29 expression with specific stages of hematopoietic differentiation, particularly useful in DBA research .
What are the key considerations when using RPS29 Antibody, FITC conjugated in research on ribosomal stress response?
When studying ribosomal stress responses:
Experimental design: Include appropriate stress inducers (e.g., actinomycin D, 5-FU, or nutrient deprivation)
Temporal analysis: Design time-course experiments to capture dynamic changes in RPS29 expression
Co-staining strategy: Combine RPS29-FITC with markers of nucleolar stress (e.g., p53, NPM1)
Subcellular localization: Monitor potential relocalization of RPS29 under stress conditions
Control selection: Include both stressed and unstressed samples from the same cell population
Quantification methods: Implement consistent quantification of fluorescence intensity across samples
Complementary techniques: Validate findings with qRT-PCR or Western blot analysis
Remember that ribosomal proteins like RPS29 may exhibit altered expression patterns and subcellular localization during ribosomal stress, which can be effectively captured using FITC-conjugated antibodies in immunofluorescence or flow cytometry .
How can I use RPS29 Antibody, FITC conjugated in conjunction with zebrafish models of Diamond-Blackfan anemia?
For zebrafish DBA model research:
Cross-reactivity: First validate if the human RPS29 antibody cross-reacts with zebrafish RPS29 (some antibodies do show cross-reactivity with zebrafish)
Whole-mount immunofluorescence: Optimize protocols for zebrafish embryos using the FITC-conjugated antibody
Confocal microscopy: Use confocal imaging for detailed visualization of RPS29 expression patterns
Flow cytometry: Develop protocols for single-cell suspensions from zebrafish tissues
Rescue experiments: Monitor RPS29 expression in rescue experiments with wild-type vs. mutant human RPS29
Co-localization studies: Combine with markers of hematopoiesis to track defects in erythroid development
Quantitative analysis: Implement image analysis tools to quantify fluorescence intensity across different experimental groups
This approach allows for in vivo assessment of RPS29 expression and function in a vertebrate model of DBA, complementing in vitro studies with human cells .
What approaches should be used to validate findings from RPS29-FITC antibody experiments in clinical samples from Diamond-Blackfan anemia patients?
For clinical validation:
Sample preservation: Optimize protocols for preserving primary patient samples
Paired analysis: Always analyze patient samples alongside age-matched controls
Multiple methodologies: Confirm RPS29 expression using orthogonal techniques (e.g., qRT-PCR, Western blot)
Genetic correlation: Correlate RPS29 protein expression with genetic findings from sequencing
Functional assays: Combine RPS29-FITC staining with functional readouts such as colony formation assays
Cell-type specific analysis: Analyze RPS29 expression in specific hematopoietic subpopulations
Pre-rRNA processing: Connect RPS29 expression levels with pre-rRNA processing patterns
This comprehensive approach ensures robust validation of findings in clinically relevant samples and strengthens the translational impact of the research .
How do I analyze potential differences in RPS29 localization under various experimental conditions using FITC-conjugated antibodies?
For subcellular localization analysis:
High-resolution imaging: Use confocal or super-resolution microscopy for detailed subcellular localization
Co-staining strategy: Combine RPS29-FITC with markers for different cellular compartments:
ER marker (e.g., calnexin)
Nucleolar marker (e.g., fibrillarin)
Cytoplasmic marker (e.g., tubulin)
Z-stack acquisition: Collect z-stack images for 3D reconstruction of RPS29 distribution
Quantitative analysis: Use image analysis software to quantify co-localization coefficients
Live cell imaging: Consider options for live cell imaging to track dynamic changes in localization
Stress response: Compare localization under normal versus stress conditions
Remember that RPS29 is primarily localized to the cytoplasm and ER under normal conditions, but its distribution may change under specific experimental conditions .
What are the best practices for using RPS29 Antibody, FITC conjugated in studies of gene expression regulation during erythropoiesis?
For erythropoiesis studies:
Cell models: Use appropriate models of erythroid differentiation (e.g., CD34+ progenitors, K562 cells)
Differentiation timeline: Establish clear timepoints for analysis during erythroid maturation
Combined analysis: Pair RPS29-FITC staining with markers of erythroid differentiation:
Early: CD34, CD117
Mid: CD71, CD36
Late: CD235a (glycophorin A)
Hemoglobin analysis: Correlate RPS29 expression with hemoglobin synthesis
Cell cycle analysis: Combine with cell cycle analysis (e.g., using Hoechst or PI staining)
Transcriptional regulation: Design experiments to connect RPS29 expression with key erythroid transcription factors
This approach allows for comprehensive analysis of how RPS29 expression patterns change during normal and pathological erythropoiesis, providing insight into the molecular mechanisms of DBA .