HNRNPU is a ubiquitously expressed RNA-binding protein encoded by the HNRNPU gene. It regulates RNA splicing, stabilizes mRNA, and facilitates chromatin interactions . Aberrant HNRNPU expression is linked to triple-negative breast cancer (TNBC) progression, neural development defects, and immune-related DNA repair mechanisms .
Applications: WB (1:2,000–1:10,000), IP (0.5–4.0 µg), IF/ICC (1:50–1:500) .
Reactivity: Validated in HEK-293, HeLa, and mouse lung tissues .
Reactivity: Human-specific; detects nuclear localization in cerebellar Purkinje cells .
Notable Use: Identified hnRNPU’s role in microRNA sorting into extracellular vesicles .
Applications: WB (1:1,000–1:4,000), IHC (1:500–1:2,000), Flow Cytometry .
Reactivity: Confirmed in HepG2 cells and mouse kidney tissues .
TNBC Progression: HNRNPU promotes TNBC cell proliferation and metastasis by modulating Wnt/β-catenin and PI3K-Akt-mTOR pathways. Knockout reduces tumor growth in vivo .
Biomarker Potential: Overexpression correlates with poor prognosis in breast cancer (TCGA data) .
Early-Onset Seizures: HNRNPU mutations disrupt neural progenitor survival and radial migration, linked to microcephaly and intellectual disability .
Class-Switch Recombination (CSR): HNRNPU stabilizes R-loops and facilitates C-NHEJ-mediated DNA repair in B cells .
Storage: -20°C in PBS with 50% glycerol; avoid freeze-thaw cycles .
Antigen Retrieval: For IHC, use TE buffer (pH 9.0) or citrate buffer (pH 6.0) .
Dilution Optimization: Titrate antibodies for specific cell lines (e.g., HeLa, HEK-293) .
HNRNPU antibodies are indispensable for:
HNRNPU, also known as HNRPU, SAFA, and U21.1, is an 825 amino acid protein that is extensively phosphorylated. It functions as a component of ribonucleosomes and is localized in cytoplasmic mRNP granules containing untranslated mRNAs . HNRNPU was originally identified as a component of heterogeneous ribonucleoprotein (hnRNP) complexes and is also known as nuclear scaffold attachment factor A (SAF-A) .
HNRNPU possesses dual binding capabilities - it has a DNA binding domain at the N-terminus and an RNA-binding domain (RGG domain) at the C-terminus. This dual binding ability enables HNRNPU to perform multiple cellular functions including:
Transcriptional regulation
Nuclear matrix/scaffold attachment
Alternative splicing
mRNA stability control (particularly for inflammatory cytokines like IL-6 and IL-1β)
Post-transcriptional regulation
Though primarily nuclear, HNRNPU is a nucleocytoplasmic shuttling protein that can be detected in cytoplasmic fractions, suggesting distinct roles in different cellular compartments .
HNRNPU antibodies demonstrate versatility across multiple experimental applications, with each application providing unique insights into protein function, localization, or interactions. Based on validated research data, HNRNPU antibodies can be reliably used in the following applications:
Each application requires specific antibody dilutions and sample preparation techniques to achieve optimal results .
Proper antibody dilution is critical for experimental success, as it affects signal-to-noise ratio, specificity, and reproducibility. The recommended dilutions for HNRNPU antibodies vary by application:
| Application | Antibody 14599-1-AP Dilution | Antibody 16365-1-AP Dilution |
|---|---|---|
| Western Blot (WB) | 1:2000-1:10000 | 1:1000-1:4000 |
| Immunoprecipitation (IP) | 0.5-4.0 μg for 1.0-3.0 mg of total protein lysate | 0.5-4.0 μg for 1.0-3.0 mg of total protein lysate |
| Immunofluorescence (IF)/ICC | 1:50-1:500 | 1:500-1:2000 |
| Immunohistochemistry (IHC) | Not specified | 1:500-1:2000 |
| Flow Cytometry (FC) | Not specified | 0.20 μg per 10^6 cells in 100 μl suspension |
It is important to note that these dilutions serve as starting points, and researchers should optimize the dilution for their specific experimental system to obtain optimal results . Sample-dependent variations may require further titration.
Proper storage and handling of HNRNPU antibodies are essential for maintaining their reactivity and specificity. Based on manufacturer recommendations:
HNRNPU antibodies are typically supplied in liquid form containing PBS with 0.02% sodium azide and 50% glycerol at pH 7.3 . For optimal preservation:
Store antibodies at -20°C where they remain stable for one year after shipment
Aliquoting is typically unnecessary for -20°C storage
Some antibody preparations (e.g., 20μl sizes) may contain 0.1% BSA as a stabilizer
Avoid repeated freeze-thaw cycles as they can denature antibodies and reduce activity
Allow antibodies to equilibrate to room temperature before opening the vial
For long-term storage beyond one year, consider making small aliquots to minimize freeze-thaw cycles
Proper handling during experiments is equally important:
Keep antibodies on ice when in use
Return to -20°C storage promptly after use
Avoid contamination by using clean pipette tips when handling antibody stocks
An optimized approach based on recent research includes:
Improved BrdU-CLIP method: This modified protocol produces approximately 10-fold greater yield of pre-amplified CLIP library, resulting in lower duplicate rate of CLIP-tag reads and reduced PCR cycle requirements .
Subcellular fractionation: Since HNRNPU shuttles between nucleus and cytoplasm, separate CLIP experiments on nuclear and cytoplasmic fractions can reveal compartment-specific binding patterns. Research has shown that cytoplasmic CLIP (cyto-CLIP) identifies more differentially expressed genes than whole-cell CLIP for HNRNPU .
Controls and validation:
Technical considerations:
While radioisotope labeling has been traditional in CLIP, newer methods like eCLIP and irCLIP may be performed without it
When first performing CLIP with HNRNPU, it's advisable to check RNA-RBP complex positions using radioisotope labeling before transitioning to non-radioisotope methods
Optimize RNase concentration, lysate volume, and antibody selection
This optimized approach has successfully identified HNRNPU binding to the 3'-UTR of IL-6 mRNA, providing new insights into its role in cytokine regulation .
HNRNPU predominantly localizes to the nucleus but also has important cytoplasmic functions. Distinguishing between these compartment-specific roles requires specialized experimental approaches:
Recent research has demonstrated that cytoplasmic HNRNPU interacts with specific mRNAs like IL-6, suggesting an important role in controlling mRNA stability in the cytoplasm despite its predominant nuclear localization by immunofluorescence .
Validating direct binding of HNRNPU to specific target mRNAs requires a multi-faceted approach that combines various RNA-protein interaction assays:
RNA Immunoprecipitation (RIP):
Optimized CLIP approaches:
Cytoplasmic CLIP (cyto-CLIP) has been shown to identify more HNRNPU direct targets than whole-cell CLIP
For example, analysis combining RNA sequencing data from HNRNPU-knockdown cells with cyto-CLIP identified 214 differentially expressed genes as direct targets, compared to only 44 with whole-cell CLIP
Functional validation:
Subcellular localization analysis:
Binding site identification:
This comprehensive approach provides strong evidence for direct, functionally relevant interactions between HNRNPU and target mRNAs in specific cellular compartments.
Knockdown/expression controls:
Stimulation controls:
Target specificity controls:
Subcellular localization controls:
Experimental validation controls:
Research has demonstrated that HNRNPU regulates IL-6 expression in HeLa cells stimulated with PMA and calcium ionophore, with knockdown significantly decreasing both mRNA and secreted protein levels, highlighting its importance in inflammatory responses .
Different types of antibodies have distinct characteristics that affect their performance in various applications. For HNRNPU detection, researchers should consider:
Experimental considerations when choosing antibodies:
Application-specific selection:
Verification approaches:
Target-specific considerations:
The choice between polyclonal and monoclonal antibodies should be guided by the specific experimental requirements, with consideration of sensitivity, specificity, and application needs.
A common challenge in HNRNPU research is reconciling the predominantly nuclear localization observed by immunofluorescence with the detection of HNRNPU in cytoplasmic fractions. This apparent discrepancy requires careful interpretation:
This discrepancy highlights the importance of using complementary techniques when studying nucleocytoplasmic shuttling proteins like HNRNPU, as different methods may reveal distinct aspects of their biology.
Optimizing HNRNPU antibody performance in challenging experimental settings requires careful consideration of multiple factors:
Western Blot optimization:
Sample preparation: Complete protein denaturation is crucial as HNRNPU is a large protein (120 kDa observed)
Transfer conditions: Extend transfer time or use specialized buffers for high molecular weight proteins
Blocking optimization: Test different blocking agents (BSA vs. milk) to reduce background
Primary antibody concentration: Titrate within recommended ranges (1:1000-1:10000) for optimal signal-to-noise ratio
Secondary antibody selection: Choose high-sensitivity detection systems for challenging samples
Immunoprecipitation enhancements:
Pre-clear lysates to reduce non-specific binding
Optimize antibody amount (0.5-4.0 μg per 1.0-3.0 mg protein lysate)
Consider protein A vs. protein G beads based on antibody isotype
Adjust wash stringency to balance between specificity and yield
For RNA-protein interactions, optimize crosslinking conditions
Immunofluorescence/Immunohistochemistry refinements:
Fixation method: Compare paraformaldehyde vs. methanol fixation
Antigen retrieval: For IHC, test TE buffer pH 9.0 vs. citrate buffer pH 6.0
Permeabilization optimization: Adjust detergent type and concentration
Signal amplification: Consider tyramide signal amplification for low-abundance detection
Mounting media selection: Use anti-fade reagents to preserve signal during imaging
Flow cytometry considerations:
These optimization strategies should be systematically tested and documented to establish reliable protocols for specific experimental contexts, ensuring reproducible results across different applications of HNRNPU antibodies.
HNRNPU has been implicated in various disease processes, and antibodies against this protein serve as valuable tools for mechanistic investigations:
Inflammatory disorders:
HNRNPU regulates expression of inflammatory cytokines including IL-6 and IL-1β
Antibody-based techniques can track HNRNPU's interactions with cytokine mRNAs during inflammation
CLIP and RIP assays using HNRNPU antibodies can identify direct binding to inflammatory mRNA targets
Changes in HNRNPU expression or localization can be monitored during inflammatory responses
Cancer research:
Recent research indicates that proteins encoded by circHNRNPU promote multiple myeloma progression
HNRNPU antibodies can be used to:
Neurological disorders:
Methodological approaches:
Immunohistochemistry of patient samples to assess expression patterns
Co-immunoprecipitation to identify altered protein-protein interactions
ChIP assays to study altered chromatin interactions
CLIP-seq to map disease-specific RNA binding profiles
Western blot analysis of patient-derived samples to detect altered expression or post-translational modifications
HNRNPU antibodies are thus essential tools for uncovering the diverse roles of this multifunctional protein in pathological processes, potentially leading to new therapeutic targets and biomarkers.
Recent technological advances offer new opportunities to study HNRNPU's complex biology:
Advanced RNA-protein interaction methodologies:
Optimized CLIP methods with greater sensitivity for nucleocytoplasmic shuttling proteins
Proximity-dependent RNA labeling techniques for spatial transcriptomics
Single-molecule imaging to visualize dynamic RNA-protein interactions
CRISPR-based RNA targeting to manipulate specific HNRNPU-RNA interactions
High-resolution localization techniques:
Functional genomics approaches:
Structural biology integration:
Cryo-EM structures of HNRNPU-RNA complexes
Hydrogen-deuterium exchange mass spectrometry for conformational dynamics
Integrative structural modeling combining multiple data types
AlphaFold-based prediction of protein-RNA interaction interfaces
These emerging approaches, when combined with traditional antibody-based methods, promise to provide unprecedented insights into HNRNPU's diverse cellular functions and disease associations. The integration of multiple techniques will be particularly powerful for understanding the compartment-specific roles of this nucleocytoplasmic shuttling protein.