ERN1 antibodies target the Inositol-Requiring Enzyme 1 alpha (IRE1α) protein, encoded by the ERN1 gene. IRE1α is a transmembrane kinase/endoribonuclease that senses ER stress by detecting unfolded proteins, initiating downstream signaling pathways like XBP1 mRNA splicing and RIDD (Regulated IRE1-Dependent Decay) .
ERN1 antibodies are used to track IRE1α activation, localization, and interactions in cellular and disease models.
ERN1 antibodies are validated for multiple techniques, including:
Western Blot (WB): Detects IRE1α phosphorylation and total protein levels .
Immunofluorescence (IF): Visualizes IRE1α localization in ER membranes or cytoskeletal structures .
Co-Immunoprecipitation (CoIP): Identifies IRE1α interactions with proteins like filamin A or XBP1 .
ELISA: Quantifies IRE1α expression in cell lysates or tissues .
IRE1α is implicated in Alzheimer’s, Parkinson’s, and amyotrophic lateral sclerosis (ALS) due to its role in managing protein aggregation during ER stress. ERN1 antibodies have shown:
Cytoskeletal Remodeling: IRE1α scaffolds filamin A, regulating neuronal migration during brain development .
Proteostasis Control: Loss of IRE1α causes ribosomal stalling and dysregulated translation of neuronal subtype markers .
IRE1α modulates immune responses via XBP1s and RIDD:
Inflammatory Bowel Disease (IBD): IRE1β (a splice variant) protects against colitis by maintaining gut epithelial function .
Atherosclerosis: IRE1 inhibitors reduce IL-1β/IL-18 production, plaque size, and Th1 responses in hyperlipidemic mice .
Tumor Microenvironment (TME): IRE1-XBP1s signaling in dendritic cells (DCs) suppresses antitumor immunity by promoting lipid accumulation and impaired antigen presentation .
Metaflammation: IRE1 activation in macrophages links ER stress to mitochondrial ROS, NLRP3 inflammasome activation, and chronic inflammation .
Small-molecule IRE1 inhibitors (e.g., STF-083010, MKC-3946) target either the RNase domain or kinase ATP-binding pocket . These modulators:
Block XBP1 Splicing: Suppress ERAD and chaperone upregulation.
Enhance RIDD: Promote degradation of pro-inflammatory mRNAs.
Reduce Atherosclerosis: Lower IL-1β/IL-18 and plaque size in murine models .
ERN1 antibodies are used in:
ERN1 functions as both a kinase and endoribonuclease, playing a crucial role in endoplasmic reticulum (ER) stress signaling. The protein is ubiquitously expressed with particularly high levels in pancreatic tissue. ERN1 is essential for studying cellular stress responses, protein folding disorders, and pathological conditions including diabetes, neurodegenerative diseases, and cancer where ER stress plays a significant role .
Researchers have access to several types of ERN1/IRE1 antibodies:
Total IRE1 antibodies detecting the protein regardless of phosphorylation state
Phospho-specific antibodies (such as those targeting phosphorylated Ser724)
Antibodies targeting specific isoforms (IRE1α or IRE1β)
Monoclonal or polyclonal antibodies with different host species (rabbit, mouse, goat)
Antibodies validated for various applications (WB, IHC, IF, ELISA, etc.)
Species-specific antibodies with reactivity to human, mouse, rat, or other organisms
IRE1α (encoded by ERN1) is ubiquitously expressed across tissues and serves as the primary isoform in most experimental systems. In contrast, IRE1β has more restricted expression, primarily in epithelial cells of the gastrointestinal tract. When designing experiments, researchers must consider these expression patterns and select appropriate antibodies that can distinguish between the isoforms based on unique epitopes .
When selecting an ERN1/IRE1 antibody, consider:
| Selection Criteria | Considerations |
|---|---|
| Experimental application | Different antibodies are validated for specific applications (WB, IHC, IF, ELISA) |
| Target species | Ensure reactivity against your species of interest (human, mouse, rat) |
| Epitope location | For studying specific domains or post-translational modifications |
| Clonality | Monoclonal (higher specificity) vs. polyclonal (stronger signals) |
| Immunogen information | Full protein vs. peptide can impact specificity and performance |
| Published literature | Review citations and figures using the antibody for similar experiments |
Review validation data from manufacturers and literature references to ensure suitability for your specific research context .
For optimal Western blotting results with ERN1/IRE1 antibodies:
Sample preparation: Use appropriate lysis buffers containing protease inhibitors and phosphatase inhibitors (especially for phosphorylated forms)
Protein loading: Load 20-50 μg of total protein per lane
Gel percentage: Use 8-10% SDS-PAGE gels for good resolution of the ~110 kDa ERN1 protein
Transfer conditions: Perform wet transfer to PVDF membranes at 100V for 60-90 minutes
Blocking: Block with 5% non-fat dry milk or BSA (for phospho-specific antibodies) in TBST
Primary antibody: Dilute according to manufacturer recommendations (typically 1:1000)
Expected molecular weight: Look for a band at approximately 109-110 kDa
For effective ICC/IHC staining with ERN1/IRE1 antibodies:
Fixation: Use 4% paraformaldehyde for ICC or 10% neutral-buffered formalin for IHC-P
Antigen retrieval: Perform heat-induced epitope retrieval using citrate buffer (pH 6.0)
Blocking: Block endogenous peroxidase activity and non-specific binding
Antibody incubation: Dilute primary antibody (typically 1:100-1:500) and incubate overnight at 4°C
Detection system: Use a sensitive detection system appropriate for your experiment
Expected pattern: Look for cytoplasmic and perinuclear staining, consistent with ER localization
Controls: Include positive control tissues (pancreatic tissue shows high ERN1 expression)
Multiple bands in ERN1/IRE1 Western blots can occur due to:
Isoforms: ERN1 has at least two identified isoforms that may appear as distinct bands
Post-translational modifications: Phosphorylation and glycosylation can alter migration patterns
Proteolytic cleavage: ERN1 can undergo processing during cell stress or sample preparation
Non-specific binding: Some antibodies may cross-react with related proteins
Degradation products: Improper sample handling can lead to protein degradation
To address these issues, use freshly prepared samples with protease inhibitors, compare with documented band patterns from manufacturers, and consider validation experiments with positive and negative controls .
To effectively distinguish between total and phosphorylated ERN1:
Use paired antibodies: Select antibodies specifically recognizing total ERN1 or phospho-ERN1 (e.g., pSer724)
Strip and reprobe membranes: After probing for phospho-ERN1, strip and reprobe for total ERN1
Run parallel samples: Process identical samples on separate gels for each antibody
Include controls: Use samples from cells treated with phosphatase inhibitors (positive control) or phosphatases (negative control)
Verify with phosphatase treatment: Treat half of your sample with lambda phosphatase before running to confirm phospho-specificity
Common artifacts in ERN1 immunostaining include:
Non-specific nuclear staining: Some antibodies may show nuclear localization that doesn't reflect true ERN1 distribution
Edge effects: Enhanced staining at tissue or cell boundaries due to antibody trapping
Fixation artifacts: Different fixation methods can alter epitope accessibility and apparent localization
Background in specific tissues: High endogenous peroxidase activity in liver or kidney tissues
Autofluorescence: Particularly problematic in tissues with high lipofuscin content
To minimize these artifacts, optimize fixation and antigen retrieval conditions, include appropriate blocking steps, and validate staining patterns with multiple antibodies targeting different epitopes .
Advanced methods to assess ERN1 endoribonuclease activity include:
XBP1 splicing assays:
RT-PCR with primers flanking the splice site
qPCR with primers specific for spliced or unspliced XBP1
Fluorescent reporter systems with XBP1 splicing-dependent output
RIDD (Regulated IRE1-Dependent Decay) activity:
Measure degradation of known ERN1 mRNA targets
RNA-seq to identify globally affected transcripts
Conformational analyses:
When investigating ERN1 across different biological contexts:
Basal expression levels: Quantify baseline ERN1 expression, which varies significantly (high in pancreatic tissue)
Isoform distribution: Determine IRE1α vs IRE1β expression in your specific tissue
Activation kinetics: Establish time-course experiments as different cell types show variable activation dynamics
Pathway integration: Assess cross-talk with other UPR branches (PERK, ATF6) that may vary by cell type
Species differences: Consider potential variations in epitope conservation across species
Tissue processing: Optimize protocols for specific tissues (e.g., brain tissue requires different fixation)
Advanced techniques for studying ERN1 protein interactions include:
Co-immunoprecipitation (Co-IP):
Pull down ERN1 and identify interacting partners
Use antibodies validated for IP applications
Proximity-based approaches:
Proximity Ligation Assay (PLA) for visualizing interactions in situ
BioID or APEX2 labeling to identify the ERN1 interactome
Microscopy techniques:
Co-localization studies with potential interacting partners
FRET/FLIM to measure direct interactions in living cells
Critical considerations include epitope accessibility in protein complexes, appropriate controls, and validation of interactions using multiple approaches .
In disease research, ERN1 antibodies are utilized to:
Assess ER stress activation in patient-derived samples:
Tissues from patients with conditions linked to ER stress
Cell models derived from patient samples
Track disease progression in animal models:
Time-course immunohistochemistry in disease models
Co-localization with disease-specific markers
Test therapeutic interventions:
Advanced approaches for studying ERN1 in complex samples include:
Spatial analysis in tissue sections:
Multiplex immunohistochemistry to correlate ERN1 activation with specific cell types
Digital pathology quantification of staining intensity and distribution
Cell isolation techniques:
FACS sorting of specific cell populations followed by phospho-ERN1 assessment
Laser capture microdissection to isolate regions of interest
Single-cell approaches:
To effectively capture ERN1 activation dynamics:
Time-course experiments:
Sample collection at multiple timepoints following stimulus
Parallel assessment of ERN1 phosphorylation and downstream targets
Live-cell approaches:
Fluorescent biosensors for real-time monitoring
Time-lapse imaging of ERN1 clustering and translocation
Pulse-chase designs:
Transient ER stress induction followed by recovery monitoring
Assessment of adaptation vs. chronic activation
Mathematical modeling: