HNRNPH2 antibodies are polyclonal or monoclonal reagents that specifically bind to HNRNPH2, a member of the hnRNP H/F subfamily involved in RNA splicing, stability, and transport . Key applications include:
Western blot (WB): Detecting HNRNPH2 expression levels in cell lysates .
Immunohistochemistry (IHC): Visualizing nuclear and cytoplasmic localization in tissue sections .
Functional studies: Investigating HNRNPH2's role in stress granule formation, viral replication, and neurodevelopmental disorders .
The table below summarizes commercially available HNRNPH2 antibodies and their characteristics:
| Antibody ID | Host | Clone | Applications | Reactivity | Citations |
|---|---|---|---|---|---|
| ab157498 | Rabbit | Polyclonal | WB, IHC-P | Human | 1 publication |
| ab181171 | Rabbit | EPR12171 | WB, IHC-P | Human, Mouse, Rat | 3 studies |
| CAB12993 | Rabbit | Polyclonal | WB | Human | N/A |
Data sourced from Abcam and Assay Genie .
Cytoplasmic Mislocalization: Disease-associated HNRNPH2 mutants (e.g., R206W, P209L) show reduced interaction with nuclear transport receptor Kapβ2, leading to cytoplasmic accumulation and stress granule association . Knockin mice expressing these mutants exhibited motor deficits and seizures, phenotypes absent in Hnrnph2-KO mice .
Compensatory Upregulation: Hnrnph2 knockout mice upregulated Hnrnph1, suggesting genetic compensation. This mechanism fails in knockin models, implicating toxic gain-of-function or complex loss-of-function in HNRNPH2-related disorders .
Immune Regulation: Chicken hnRNPH2 inhibits MDA5-mediated IFN-β production by disrupting MDA5–MAVS interactions, enhancing avian influenza virus replication . Knockdown of hnRNPH2 increased antiviral responses, highlighting its role as an immune checkpoint .
HNRNPH2 antibodies have identified mislocalized protein aggregates as potential therapeutic targets. Antisense oligonucleotides (ASOs) targeting mutant HNRNPH2 could restore compensatory HNRNPH1 expression or reduce toxic cytoplasmic aggregates .
HNRNPH2 (Heterogeneous Nuclear Ribonucleoprotein H2) is a component of the heterogeneous nuclear ribonucleoprotein (hnRNP) complexes that process pre-mRNAs before they become functional, translatable mRNAs in the cytoplasm. It binds poly(RG) sequences and plays crucial roles in RNA processing . The protein has gained significant research interest due to its association with an X-linked neurodevelopmental disorder characterized by developmental delay, motor function deficits, and seizures . Research into HNRNPH2 is particularly valuable for understanding RNA processing mechanisms and specific neurodevelopmental conditions.
Multiple types of HNRNPH2 antibodies are available for research, primarily differing in their clonality:
Both types have been validated against human, mouse, and rat samples, making them suitable for comparative studies across these species .
For optimal results with HNRNPH2 antibodies:
Avoid repeated freeze-thaw cycles by aliquoting upon receipt
Working dilutions should be prepared fresh and stored at 4°C for short periods only (1-2 weeks)
Follow manufacturer's specific guidelines for each antibody preparation, as buffer compositions may vary
Stability is typically guaranteed for 12 months from date of receipt when properly stored
A comprehensive validation approach should include:
Western blot validation with positive and negative controls:
Cross-validation with multiple antibodies:
Recombinant expression:
The ab181171 antibody has been validated through siRNA knockdown, showing significant reduction in signal in HNRNPH2-targeted siRNA samples compared to scrambled siRNA controls, confirming specificity .
Based on validated research applications:
For optimal results in immunohistochemistry applications, heat-mediated antigen retrieval using Tris-EDTA buffer (pH 9.0) is recommended, with overnight incubation at 4°C .
This is a challenging issue due to high sequence homology between these proteins:
Antibody selection:
Experimental approaches:
Western blotting: Resolve proteins carefully as they have similar molecular weights
Use knockout/knockdown validation to confirm specificity
Consider isoform-specific PCR as complementary approach
When possible, combine mass spectrometry identification with immunoprecipitation
Data analysis:
Always note potential cross-reactivity in publications
When analyzing cellular localization, consider that all family members are primarily nuclear
Research on HNRNPH2 mutations requires specialized approaches:
Mutant protein detection:
Functional studies:
Protocol modifications:
Oxidative stress experimental design:
Baseline imaging: Capture normal localization in unstressed cells
Treatment: 0.5 mM NaAsO₂ for stress granule induction
Timing: Monitor time-dependent relocalization
Co-staining: Use eIF3η as stress granule marker
Quantification approaches:
Nuclear/cytoplasmic ratio calculation
Co-localization analysis with stress granule markers
Time-course documentation of relocalization
Technical considerations:
Use gentle fixation to preserve stress granules (4% PFA recommended)
Employ confocal microscopy for precise localization assessment
Include multiple stress conditions (heat shock, hypoxia) for comprehensive analysis
Always include wild-type HNRNPH2 as control alongside mutants
Based on documented methodologies :
GST-pulldown approach:
Create GST-tagged constructs of HNRNPH2 PY-NLS region (aa 179-215)
Express and purify constructs from bacterial systems
Perform pulldown with recombinant Kapβ2
Use M9M peptide as positive control for binding site specificity
Immunoprecipitation method:
Express full-length HNRNPH2 (WT and mutants) in mammalian cells
Perform co-immunoprecipitation with Kapβ2
Quantify interaction efficiency through western blot analysis
Compare binding reduction between PY-NLS mutants (R206W/Q/G, P209L, Y210C) and non-PY-NLS mutants (D340V)
Quantification and controls:
Always include wild-type as positive control
Use non-PY-NLS mutant (D340V) as reference point for interaction reduction
Quantify results across multiple experimental replicates
Report binding efficiency as percentage relative to wild-type
Common challenges and solutions include:
Variable western blot results:
Problem: Inconsistent band patterns or intensities
Solutions:
Poor signal in immunohistochemistry:
Nonspecific background:
Problem: High background obscuring specific signal
Solutions:
Increased blocking time or concentration
More stringent washing steps
Antibody titration to determine optimal concentration
Pre-adsorption of secondary antibodies
When encountering unexpected localization patterns:
Cytoplasmic localization in wild-type HNRNPH2:
Possible explanations:
Cell stress conditions (check for inadvertent stress during processing)
Cell cycle stage variations (synchronized cultures recommended for definitive studies)
Antibody cross-reactivity with cytoplasmic proteins
Fixation artifacts altering nuclear envelope integrity
Verification approaches:
Compare multiple antibodies targeting different epitopes
Validate with tagged recombinant expression
Perform careful subcellular fractionation
Co-stain with nuclear and cytoplasmic markers
Disease-relevant interpretation:
For rigorous quantification:
Western blot quantification:
Normalize to multiple housekeeping controls
Use linear range detection methods
Compare multiple antibodies targeting different regions
Consider nuclear vs. whole cell extracts separately
Immunohistochemistry quantification:
Employ digital image analysis for nuclear intensity measurement
Use consistent exposure and acquisition parameters
Include calibration standards
Analyze multiple fields and samples to account for heterogeneity
Advanced approaches:
Consider mass spectrometry-based quantification for absolute measurements
RNA-protein correlation studies (qPCR with protein levels)
Single-cell analysis techniques to detect population heterogeneity
Time-course studies to capture dynamic changes
Based on recent research findings :
Patient-derived cell studies:
Compare HNRNPH2 localization in patient vs. control cells
Analyze RNA processing alterations in patient samples
Test pharmacological interventions to correct mislocalization
Animal model validation:
Confirm antibody cross-reactivity with model species protein
Compare expression patterns across developmental stages
Correlate protein expression/localization with behavioral phenotypes
Mechanistic investigations:
Study PY-NLS dependent nuclear import in patient-derived cells
Investigate stress granule dynamics and RNA processing
Examine potential therapies targeting nuclear import or RNA processing
Methodological approaches:
Immunofluorescence to track subcellular localization changes
Co-immunoprecipitation to identify altered protein interactions
RNA-immunoprecipitation to define changes in RNA targets
For studying the RNA-binding functions:
Binding assay approaches:
RNA-immunoprecipitation with HNRNPH2 antibodies
Electrophoretic mobility shift assays with recombinant protein
CLIP-seq methodologies for genome-wide binding analysis
Compare wild-type versus mutant binding efficiency
Critical controls:
Include related hnRNP proteins (HNRNPH1, HNRNPF) as comparators
Use multiple RNA substrates (poly(RG) and non-RG controls)
Test binding under different ionic strength conditions
Compare nuclear and cytoplasmic fractions separately
Analytical considerations:
Quantify binding affinity through multiple approaches
Consider cooperative binding effects
Evaluate competition with other RNA-binding proteins
Correlate binding changes with functional RNA processing outcomes
Based on mechanistic insights :
Potential therapeutic targets:
Nuclear import pathway enhancement
Targeting Kapβ2-mediated transport specifically
Modulating stress granule dynamics
RNA processing compensation strategies
Experimental therapeutic approaches:
Small molecules targeting PY-NLS/Kapβ2 interaction
Gene therapy to express optimized nuclear localization signals
Antisense oligonucleotides to modulate RNA processing
Stress pathway modulators to prevent cytoplasmic accumulation
Model systems for therapeutic testing:
Patient-derived iPSCs differentiated to neurons
Mouse models with equivalent HNRNPH2 mutations
Cell lines expressing mutant proteins
Ex vivo brain slice cultures
Outcome measures:
Nuclear/cytoplasmic distribution quantification
RNA processing fidelity assessment
Stress granule dynamics under various conditions
Downstream gene expression normalization