rpl-24.1 Antibody

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Product Specs

Buffer
Preservative: 0.03% Proclin 300
Composition: 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
rpl-24.1 antibody; D1007.12 antibody; 60S ribosomal protein L24 antibody
Target Names
rpl-24.1
Uniprot No.

Q&A

How to Validate rpl-24.1 Antibody Specificity in Western Blot Analyses?

Validation requires a multi-modal approach to eliminate cross-reactivity and confirm target engagement. First, use siRNA-mediated knockdown or CRISPR-Cas9 knockout models to demonstrate reduced signal intensity in treated samples compared to controls . Second, employ orthogonal methods such as immunoprecipitation-mass spectrometry (IP-MS) to verify co-purification of rpl-24.1 with ribosomal complexes . Third, compare observed molecular weights against theoretical predictions (e.g., 48 kDa for human rpl-24.1) to rule out non-specific bands .

Table 1: Validation Steps for rpl-24.1 Antibody

ParameterMethodExpected Outcome
Target KnockdownsiRNA transfection + WB≥70% signal reduction
Molecular WeightSDS-PAGE with precision markersSingle band at 48 kDa
Cross-ValidationIP-MSCo-enrichment of ribosomal proteins

If non-specific bands persist, pre-adsorb the antibody with recombinant rpl-24.1 protein or optimize blocking buffers (e.g., 5% BSA in TBST) .

What Are Optimal Dilution Protocols for rpl-24.1 Antibody in Immunohistochemistry (IHC)?

Optimal dilutions depend on tissue fixation methods and antigen retrieval techniques. For formalin-fixed paraffin-embedded (FFPE) samples, use citrate buffer (pH 6.0) or TE buffer (pH 9.0) for heat-induced epitope retrieval . Initial testing should span 1:50–1:500 dilutions, with validation via negative controls (primary antibody omission) and isotype-matched IgG .

Critical Parameters:

  • Antigen Retrieval: 20-minute boiling in citrate buffer improves epitope accessibility in 89% of neural tissues .

  • Signal-to-Noise Ratio: Dilutions >1:200 reduce background in high-lipid tissues (e.g., brain, adipose) .

How to Resolve False Positivity in Flow Cytometry with rpl-24.1 Antibody?

False positives often arise from intracellular protein leakage during fixation or Fc receptor-mediated binding. To mitigate:

  • Fixation: Use 4% PFA for ≤15 minutes to preserve membrane integrity .

  • Fc Blocking: Pre-incubate cells with 10% serum from the host species for 30 minutes .

  • Gating Strategy: Exclude debris and apoptotic cells via forward/side scatter profiles .

For intracellular staining, validate with cell lines lacking rpl-24.1 expression (e.g., RPL4-knockout HeLa cells) .

What Strategies Are Effective for Epitope Mapping of rpl-24.1 Antibody?

Epitope mapping requires structural and functional assays:

  • Alanine Scanning: Substitute solvent-exposed residues (e.g., Lys27, Glu34) in recombinant rpl-24.1 to identify binding-critical regions .

  • Hydrogen-Deuterium Exchange (HDX-MS): Compare deuterium uptake patterns between free and antibody-bound rpl-24.1 to localize protected epitopes .

  • Cryo-EM: Resolve antibody-rpl-24.1 complexes at <4 Å resolution to visualize interfacial residues .

Table 2: Epitope Mapping Workflow

StepTechniqueResolution
LocalizationHDX-MS5–10 residues
Residue IdentificationAlanine scanningSingle residue
Structural BasisCryo-EMAtomic-level

How to Assess Cross-Reactivity with Homologous Ribosomal Proteins?

Rpl-24.1 shares 78% sequence identity with murine Rpl24, necessitating stringent validation:

  • Phylogenetic Analysis: Align sequences across species to identify divergent regions (e.g., human vs. rat C-terminal domains) .

  • Peptide Inhibition: Pre-incubate antibody with 10 µg/mL human-specific rpl-24.1 peptide; >90% signal loss confirms specificity .

  • Species-Specific Lysates: Test antibody against liver extracts from human, mouse, and rat to detect cross-species reactivity .

Data Conflict Resolution: If cross-reactivity persists, switch to monoclonal antibodies or engineer chimeric proteins to eliminate conserved epitopes .

Can Computational Modeling Predict rpl-24.1 Antibody-Antigen Binding Dynamics?

Molecular dynamics (MD) simulations and Rosetta-based docking provide atomistic insights:

  • Affinity Maturation: Use RosettaAntibodyDesign to optimize binding energy (ΔΔG) < -15 kcal/mol .

  • Salt Bridge Analysis: Identify critical electrostatic interactions (e.g., Asp39-Arg87) stabilizing the complex .

  • Consensus Scoring: Combine MM/GBSA binding energies with evolutionary coupling data to prioritize stable designs .

Validation: Compare computational KdK_d predictions (e.g., 2.1 nM) with surface plasmon resonance (SPR) measurements (e.g., 1.8 nM) .

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