Capture Antibody: ab61193 (Abcam) (Rabbit IgG, 1:1000 dilution).
Detection Antibody: 12770-1-AP (Proteintech) (Rabbit IgG, 1:5000 dilution).
Rationale: Both antibodies target HNRNPD with high specificity, and their rabbit host species minimizes cross-reactivity in sandwich assays .
Primary Antibody 1: CL488-68236 (Proteintech) (Mouse IgG2b, 1:50 dilution).
Primary Antibody 2: ab61193 (Abcam) (Rabbit IgG, 1:100 dilution).
Secondary Antibodies: Alexa Fluor® 488 (anti-mouse) and Alexa Fluor® 594 (anti-rabbit).
Outcome: Enables simultaneous detection of HNRNPD and colocalization with other markers (e.g., DNA damage markers like RPA32 S4/S8) .
Mechanistic Insight:
HNRNPD’s role in RNA:DNA hybrid resolution highlights its dual function in genome stability and post-transcriptional regulation . Antibody pairs are critical for validating its subcellular localization (e.g., nuclear vs. cytoplasmic) and interacting partners (e.g., SAF-A) .
Cross-Reactivity: Polyclonal antibodies (e.g., ab61193) may bind to paralogs like HNRNPC .
Epitope Overlap: Monoclonal antibodies (e.g., CL488-68236) require careful validation to avoid epitope competition in co-detection assays .
Experimental Design: Optimize dilutions (1:50–1:5000) and blocking conditions (e.g., 1% BSA/10% goat serum) to minimize non-specific binding .
HNRPD (heterogeneous nuclear ribonucleoprotein D), also known as AUF1, is an RNA binding protein that binds with high affinity to RNA molecules containing AU-rich elements (AREs) found within the 3'-UTR of many proto-oncogenes and cytokine mRNAs. It also binds to double- and single-stranded DNA sequences in a specific manner and functions as a transcription factor . HNRPD has four isoforms (p37, p40, p42, and p45) produced by alternate splicing of a single transcript . This protein is significant in research due to its multifunctional roles in mRNA decay, telomere maintenance, translation initiation, and its emerging role in DNA damage repair processes . Recent studies have also identified HNRPD as an important factor in modulating HCV IRES-dependent translation, making it relevant for both cancer and viral research applications .
HNRPD antibody pairs are most commonly utilized in techniques that require both capture and detection antibodies targeting different epitopes of the protein. Based on available research tools, these antibodies are suitable for multiple techniques including immunoprecipitation (IP), enzyme-linked immunosorbent assay (ELISA), Western blotting (WB), immunohistochemistry on paraffin sections (IHC-P), and immunocytochemistry/immunofluorescence (ICC/IF) . When using antibody pairs, sandwich ELISA represents a particularly valuable application for quantifying HNRPD levels in complex biological samples. The specificity of these antibodies allows researchers to distinguish between the four HNRPD isoforms (p37, p40, p42, and p45), which is crucial when studying isoform-specific functions in different cellular contexts .
To determine cross-reactivity of HNRPD antibody pairs with related hnRNP family members, implement a systematic validation approach. First, perform Western blot analysis using recombinant proteins of various hnRNP family members alongside HNRPD. Compare the banding patterns with the expected molecular weights (37-45 kDa for HNRPD isoforms) . Second, conduct immunoprecipitation experiments followed by mass spectrometry to identify any co-precipitating hnRNPs. Third, utilize CRISPR/Cas9 knockout cells for HNRPD (as described in the literature) as negative controls to confirm antibody specificity . This is particularly important because many hnRNPs share structural similarities in their RNA recognition motifs. For definitive validation, perform dot blot analysis with purified hnRNP proteins and evaluate the signal intensity profile across different antibody dilutions. Document cross-reactivity findings thoroughly as this information is crucial for accurate interpretation of experimental results, particularly in co-localization studies.
For optimal HNRPD detection, sample preparation methods should be tailored to the cellular localization and binding state of the protein. For nuclear extraction, use a fractionation protocol that separates chromatin-bound from soluble nuclear proteins, as HNRPD binds chromatin even in the absence of DNA damage . For cytoplasmic extraction, utilize buffers containing RNase inhibitors to preserve RNA-protein interactions, which is critical since HNRPD binds AU-rich elements in mRNAs . When preparing whole cell lysates, sonication helps disrupt nucleoprotein complexes, improving HNRPD detection. For cross-linking studies, utilize UV cross-linking followed by immunoprecipitation as demonstrated in HCV IRES binding studies . For immunohistochemistry applications, antigen retrieval methods (typically heat-induced in citrate buffer pH 6.0) are essential to expose HNRPD epitopes in formalin-fixed tissues . In all preparations, include protease and phosphatase inhibitors to prevent degradation and preserve post-translational modifications that may affect antibody recognition.
To specifically detect different HNRPD isoforms (p37, p40, p42, and p45), implement a strategic approach using antibody pairs that target isoform-specific regions. These isoforms differ based on the inclusion or exclusion of exons 2 and 7 . Design a sandwich ELISA system where the capture antibody targets a common region present in all isoforms, while the detection antibody targets regions specific to each isoform. For highest specificity, utilize monoclonal antibodies targeting junction-specific epitopes created by alternative splicing events. Validation should include Western blot analysis comparing wild-type cells with those expressing individual isoforms via plasmid transfection, similar to the system used in HCV IRES binding studies where Flag-tagged p45 isoform was expressed . For multiplexed detection, consider using detection antibodies conjugated to different fluorophores, allowing simultaneous measurement of all isoforms. Additionally, employ recombinant protein standards representing each isoform at known concentrations to generate isoform-specific standard curves for absolute quantification.
When studying HNRPD's role in DNA damage repair, several critical considerations apply when using antibody pairs. First, ensure your antibody pair can detect HNRPD relocalization to γH2Ax foci following DNA damage, as this is a key feature of its involvement in homologous recombination (HR) . Design experiments that track both total HNRPD and its phosphorylated forms, as post-translational modifications likely regulate its repair functions. Establish a time-course analysis after DNA damage induction (using camptothecin or other agents) to capture dynamic changes in HNRPD localization and interaction with repair complexes. For proximity ligation assays, select antibody pairs that can simultaneously detect HNRPD and its binding partners like SAF-A (another heterogeneous nuclear ribonucleoprotein associated with DNA repair) . Include appropriate controls such as CRISPR/Cas9-mediated HNRPD knockout cells, which have demonstrated impaired in vitro DNA resection and increased sensitivity to camptothecin and olaparib treatment . When analyzing results, consider that HNRPD depletion results in increased RNA:DNA hybrids upon DNA damage, suggesting its role in preventing R-loop formation during repair processes .
To optimize antibody pairs for detecting HNRPD binding to specific RNA sequences, implement a systematic approach combining immunoprecipitation and RNA detection. First, select a capture antibody that doesn't interfere with HNRPD's RNA binding domains (RRM1 and RRM2), which specifically bind to 5'-UUAG-3' sequences and telomeric repeats . For RNA immunoprecipitation (RIP) assays, optimize cross-linking conditions using UV irradiation at 254 nm, which has been successfully employed to identify HNRPD-RNA interactions in HCV studies . Establish a protocol that incorporates stringent washing conditions to minimize non-specific binding while preserving specific interactions. When developing a sandwich assay format, consider using biotinylated target RNA sequences (like AU-rich elements or 5'-UUAG-3' motifs) as the capture component, followed by HNRPD-specific detection antibodies. Validate your optimized protocol using synthetic RNA oligonucleotides with known HNRPD binding sites versus mutated sequences. For quantitative applications, establish standard curves using recombinant HNRPD proteins (particularly the p45 isoform) interacting with defined RNA sequences .
To study HNRPD's role in translational regulation, utilize antibody pairs in sophisticated experimental designs that capture both protein-RNA interactions and their functional consequences. Implement polysome profiling coupled with HNRPD immunodetection to track its association with actively translating ribosomes, similar to approaches used in studying HCV IRES-dependent translation . Design ribosome fractionation experiments where antibody pairs detect HNRPD distribution across monosomal and polysomal fractions, with and without translational inhibitors. For target-specific analysis, combine RNA immunoprecipitation (using anti-HNRPD antibodies) with polysome-associated mRNA isolation to identify transcripts whose translation is directly regulated by HNRPD, such as c-myc and HCV RNA . Develop a proximity ligation assay using antibodies against HNRPD and translation initiation factors to visualize their interactions in situ. For functional validation, implement reporter assays with wild-type and HNRPD-depleted cells, focusing on constructs containing known HNRPD binding elements like those in HCV IRES (nucleotides 18-129) . These approaches should be complemented with translatome analysis following HNRPD knockdown or knockout to comprehensively identify HNRPD-regulated transcripts.
Essential validation steps for HNRPD antibody pairs include a comprehensive multi-platform approach to ensure specificity and sensitivity. Begin with Western blot validation comparing wild-type cells with CRISPR/Cas9-generated HNRPD knockout cells (as described in the literature) to confirm absence of bands in knockout samples . Perform epitope mapping to ensure the antibody pairs target different, non-overlapping regions of HNRPD, which is crucial for sandwich-based detection methods. Verify isoform specificity by comparing detection patterns with recombinant standards of all four HNRPD isoforms (p37, p40, p42, and p45) . For functional validation, conduct immunoprecipitation followed by mass spectrometry to confirm pull-down of authentic HNRPD and associated proteins like SAF-A . Test antibody performance across multiple sample types (cell lines, tissues) and species (human, mouse, rat) as reported in antibody specifications . Document all validation experiments methodically, including positive and negative controls, antibody dilutions, incubation conditions, and detection methods used. This systematic validation ensures reliable results in subsequent critical experiments and facilitates troubleshooting if unexpected results emerge.
To distinguish between different functional states of HNRPD, design experiments that integrate multiple detection methods targeting specific protein-protein and protein-nucleic acid interactions. Implement co-immunoprecipitation experiments using one antibody for precipitation and another for detection to identify different HNRPD-containing complexes. For studying DNA damage response functions, use phospho-specific antibodies that detect potential modification states induced during repair processes, alongside markers like γH2Ax and RPA32 S4/8 phosphorylation . When investigating RNA binding functions, combine UV cross-linking with immunoprecipitation protocols similar to those used in HCV IRES studies . For nucleocytoplasmic shuttling analysis, employ subcellular fractionation followed by Western blotting with HNRPD antibodies to track compartmental distribution under different cellular conditions. Develop proximity ligation assays using antibody pairs recognizing HNRPD and known binding partners to visualize specific interaction events in situ. For all approaches, include appropriate controls such as HNRPD-depleted cells (via siRNA or CRISPR/Cas9) and stimulation conditions that trigger known functional transitions (e.g., DNA damage induction with camptothecin ).
For optimal sandwich ELISA using HNRPD antibody pairs, attention to technical details is critical for sensitivity and specificity. Begin with coating high-binding 96-well plates with a capture antibody (2-5 μg/ml) in carbonate-bicarbonate buffer (pH 9.6) overnight at 4°C. Block plates thoroughly with 3-5% BSA or 5% non-fat milk in PBS-T to minimize background. For sample preparation, incorporate both nuclear and cytoplasmic extraction protocols, as HNRPD shuttles between these compartments . When detecting specific isoforms, ensure sample buffers preserve the native conformation of isoform-specific epitopes. Optimize antibody concentrations through checkerboard titration, typically using detection antibody concentrations between 0.5-2 μg/ml. For enhanced sensitivity, utilize biotinylated detection antibodies with streptavidin-HRP systems rather than direct HRP conjugates. Include recombinant HNRPD protein standards spanning 0.1-100 ng/ml for absolute quantification. When measuring HNRPD in dynamic processes like DNA damage response, include appropriate time points after stimulation, as HNRPD relocalization to γH2Ax foci occurs rapidly following damage . For all assays, include technical replicates and interassay controls to ensure reproducibility across experimental batches.
To optimize chromatin immunoprecipitation (ChIP) protocols for studying HNRPD's DNA binding properties, implement modifications that account for its unique binding characteristics. HNRPD binds to both double-stranded and single-stranded DNA sequences in a specific manner, with particular affinity for the single-stranded 5'-TTAGGG-3' telomeric DNA repeat . Begin with dual cross-linking using both formaldehyde (1%) and a protein-protein cross-linker like DSG or EGS to capture indirect DNA associations through protein complexes. Optimize sonication conditions to generate fragments of 200-500 bp while preserving HNRPD epitopes. During immunoprecipitation, use antibodies validated for ChIP applications, with pre-clearing steps to reduce background. Include RNase treatment controls to distinguish direct DNA binding from RNA-mediated interactions, as HNRPD is primarily known as an RNA-binding protein . For analysis of binding to single-stranded DNA regions (particularly telomeric sequences), modify standard ChIP protocols to preserve these structures during chromatin preparation. Compare results from normal conditions with DNA damage-inducing treatments (e.g., camptothecin), as HNRPD's DNA binding function may be enhanced during repair processes . Validate findings with appropriate controls including IgG negative controls and positive controls targeting known HNRPD binding regions.
Common pitfalls when using HNRPD antibody pairs include several technical and biological challenges that require specific mitigation strategies. First, cross-reactivity with other hnRNP family members can lead to false positives due to structural similarities; perform thorough validation with recombinant proteins and knockout controls . Second, epitope masking occurs when HNRPD forms complexes with partners like SAF-A or RNA; optimize extraction conditions to preserve detection while disrupting these interactions. Third, isoform-specific detection is complicated by the presence of four different splice variants (p37, p40, p42, and p45) ; carefully select antibody pairs that either distinguish between or recognize all isoforms as appropriate for your research question. Fourth, subcellular localization issues arise as HNRPD shuttles between nucleus and cytoplasm; ensure fractionation protocols effectively separate these compartments. Fifth, post-translational modifications may affect epitope recognition, particularly during DNA damage response ; include phosphatase treatments in control samples to assess this effect. Finally, quantification discrepancies between antibody-based techniques and functional assays can occur; validate findings using multiple methodologies such as combining Western blot with polysome profiling to establish reliable correlations.
When analyzing data from experiments using HNRPD antibody pairs in DNA damage repair contexts, implement a multifaceted approach that integrates temporal, spatial, and functional dimensions. First, establish baseline levels of HNRPD before damage induction as reference points. Following DNA damage, quantify changes in HNRPD localization to γH2Ax foci using colocalization coefficients such as Pearson's or Mander's . Analyze the temporal dynamics of this relocalization across multiple time points (15 minutes to 24 hours post-damage). When examining HNRPD's functional impact, correlate its levels with downstream effectors like CHK1 S345 phosphorylation and RPA32 S4/8 phosphorylation . For mechanistic insights, quantify RNA:DNA hybrid levels using appropriate antibodies (e.g., S9.6) with and without HNRPD depletion, as HNRPD appears to prevent R-loop accumulation during repair . Compare results across different damage induction methods (camptothecin, olaparib, ionizing radiation) to identify damage-specific responses. Statistically analyze rescue experiments where RNase H1 expression or RNA polymerase II inhibition is used to mitigate defects in HNRPD-depleted cells . Present data as fold changes relative to undamaged controls rather than absolute values to account for inter-experimental variations.
When encountering discrepancies between different detection methods using HNRPD antibody pairs, implement a systematic troubleshooting approach focused on method-specific variables. First, catalog differences in epitope accessibility across techniques—epitopes readily detected in Western blots may be masked in native conformation assays like ELISA or immunofluorescence. Create a comparison table documenting experimental conditions for each method, including sample preparation, antibody concentrations, and detection systems. Consider isoform-specific detection discrepancies, as the four HNRPD variants (p37, p40, p42, and p45) may show differential representation across techniques. For immunoprecipitation versus direct detection discrepancies, examine whether protein-protein interactions affect antibody binding, particularly interactions with SAF-A or other partners . Evaluate whether differences appear under specific cellular conditions (e.g., after DNA damage or in certain cell cycle phases). Quantify the magnitude of discrepancies using standard curves with recombinant proteins to determine if differences represent technical variability or biologically meaningful phenomena. Finally, validate critical findings using orthogonal approaches such as mass spectrometry or RNA sequencing to resolve persistent discrepancies in functionally important experiments.
For analyzing quantitative data from HNRPD antibody pair assays, implement statistical approaches tailored to the specific experimental design and biological questions. Begin with exploratory data analysis including normality testing (Shapiro-Wilk test) to determine appropriate parametric or non-parametric methods. For time-course experiments monitoring HNRPD relocalization during DNA damage response , apply repeated measures ANOVA with post-hoc tests (Tukey's or Dunnett's) to identify significant time points. When comparing HNRPD levels across multiple experimental conditions (e.g., different DNA damaging agents), use two-way ANOVA to assess both treatment effects and potential interactions. For correlation analyses between HNRPD levels and functional outcomes (like RPA32 phosphorylation or polysome association ), calculate Pearson's or Spearman's correlation coefficients depending on data distribution. In dose-response experiments, fit data to appropriate models (linear, sigmoidal) and determine EC50 values with 95% confidence intervals. For mechanistic studies involving knockdown or knockout models , employ paired statistical tests to account for inter-experimental variability. Present variability as standard error of the mean for small sample sizes (n<10) and include power analyses to justify sample sizes. Finally, consider multiple testing corrections (Bonferroni or FDR) when performing numerous comparisons to maintain appropriate experiment-wide error rates.