HEN1 Antibody is a specialized immunological reagent designed to detect and study HUA ENHANCER 1 (HEN1), a conserved RNA methyltransferase critical for small RNA stabilization through 2′-O-methylation. This enzyme is pivotal in RNA silencing pathways across plants, animals, and bacteria, with its inhibition implicated in viral pathogenesis and developmental regulation.
Monoclonal Antibody 2A3 targets the C-terminal region of human HEN1/HEN2 (NHLH2), recognizing amino acids 36–135 with a GST tag .
Polyclonal antibodies against Arabidopsis thaliana HEN1 (AtHEN1) are generated using recombinant fragments for detecting endogenous HEN1 in plant studies .
Immunocytochemistry: Localizes HEN1 in cytoplasmic and nuclear compartments .
Co-Immunoprecipitation (Co-IP): Validates interactions between HEN1 and viral suppressors like HC-Pro .
HC-Pro Inhibition: HEN1 antibodies enabled the discovery that potyviral HC-Pro variants (e.g., HC-Pro Tu) directly bind and inhibit HEN1’s methyltransferase activity, leading to unmodified miRNAs and enhanced AGO1 degradation .
In C. elegans, HENN-1 (HEN1 ortholog) methylates piRNAs and 26G RNAs, with antibody-based studies revealing:
AtHEN1 Antibody confirmed HC-Pro’s role in sequestering HEN1 into cytoplasmic “H-bodies,” impairing miRNA methylation and promoting viral proliferation .
EMSA assays using purified GST-HC-Pro and his-HEN1 demonstrated dose-dependent inhibition of HEN1’s RNA-binding capacity .
C. elegans HENN-1 Antibodies revealed tissue-specific methylation patterns:
Here’s a structured FAQ for researchers working with HEN1 antibodies, designed to address academic research scenarios with methodological rigor and depth:
Methodological reconciliation:
Validate antibody cross-reactivity with organelle-specific markers (e.g., nucleolin for nucleus, COX2 for mitochondria) .
Compare fixation methods (e.g., paraformaldehyde vs. methanol) to rule out epitope masking .
Perform subcellular fractionation with protease/RNase inhibitors, followed by immunoblotting .
Apply mixed-effects models to account for batch effects in multi-experiment datasets .
Use Bonferroni correction for small RNA sequencing data to address false discovery rates in differentially expressed miRNAs .
Key parameters: