INSRR (Insulin Receptor-Related Receptor) is a tyrosine kinase receptor structurally homologous to the insulin receptor (INSR) and insulin-like growth factor 1 receptor (IGF-1R). Unlike INSR, INSRR does not bind insulin but is implicated in pH sensing and metabolic regulation . The INSRR antibody is a polyclonal or monoclonal immunoglobulin developed to specifically bind and detect INSRR in experimental settings, enabling researchers to study its expression, localization, and function .
INSRR antibodies are validated for use in Western blot (WB), ELISA, and immunohistochemistry (IHC). Key features include:
These antibodies are critical for investigating INSRR’s role in conditions like diabetes, insulin resistance, and metabolic syndrome .
Studies show monoclonal anti-INSR antibodies can activate mutant INSRs (e.g., S323L, D707A) in cell models, restoring insulin-like signaling pathways such as Akt phosphorylation and glucose uptake . For example:
Antibody 83-7 increased glucose uptake in D707A mutant cells by 40% compared to insulin alone .
In mice expressing mutant INSRs, antibody treatment improved glucose tolerance by 25% and reduced hyperinsulinemia .
Despite therapeutic promise, antibody-induced INSR downregulation poses challenges:
Prolonged antibody exposure reduces INSR expression by 50–70%, attenuating metabolic benefits .
Dose-dependent effects mirror clinical observations in type B insulin resistance, where high antibody titers cause receptor desensitization .
Current research focuses on:
INSRR (also known as IRR or Insulin Receptor-Related Receptor) is a transmembrane receptor belonging to the protein kinase superfamily, specifically within the tyrosine protein kinase family and insulin receptor subfamily . This receptor plays a role in insulin signaling and glucose metabolism, making INSRR antibodies valuable tools for:
Characterizing insulin signaling pathways in various tissues
Studying tyrosine kinase activity in receptor-based signaling
Investigating phosphorylation of insulin receptor substrates IRS-1 and IRS-2
INSRR is a heterotetrameric receptor composed of two alpha and two beta chains linked by disulfide bonds . The protein has a calculated molecular weight of 144 kDa but is typically observed at 150-155 kDa in experimental contexts due to post-translational modifications .
When designing experiments requiring positive control samples for INSRR antibody validation, the following tissues have shown consistent INSRR expression:
| Tissue Type | Species | Validated Application | Citation |
|---|---|---|---|
| Kidney | Mouse, Rat | Western Blot | |
| Brain | Human, Mouse | Western Blot | |
| Stomach | Rat | Western Blot | |
| Pancreas | Rat | Western Blot | |
| Liver | Mouse | Western Blot |
For researchers seeking reliable positive controls, mouse or rat kidney tissue is most consistently cited across multiple antibody sources . Brain tissue (particularly human) can serve as an alternative positive control when kidney samples aren't available .
Optimal antibody dilutions vary depending on the specific antibody, application, and tissue type. Based on multiple antibody datasheets, the following ranges represent consensus recommendations:
It is strongly recommended that researchers titrate antibodies in their specific testing systems to determine optimal conditions for each experimental context . Western blot applications typically start with a 1:1000 dilution before optimization .
INSRR protein has a calculated molecular weight of 144 kDa, but experimental observations show bands at 150-155 kDa or in some cases at 105 kDa . When optimizing Western blot protocols:
Gel percentage selection: Use 6-8% gels for optimal separation in the high molecular weight range
Extended transfer time: Implement 90-120 minute transfers at lower amperage for complete transfer of large proteins
Blocking optimization: Use 5% BSA rather than milk for phosphorylated protein detection
Sample preparation considerations:
Include phosphatase inhibitors if studying phosphorylated INSRR
Consider deglycosylation treatments to assess contribution of glycosylation to observed weight
Positive controls: Run known positive samples (mouse kidney) alongside experimental samples
Molecular weight markers: Use high-range markers that extend beyond 200 kDa
The discrepancy between calculated and observed molecular weights likely stems from post-translational modifications, particularly glycosylation and phosphorylation of the receptor .
When troubleshooting Western blot results for INSRR detection:
Expected band size: Primary band should appear at 150-155 kDa for full-length INSRR, though some antibodies may detect a 105 kDa band depending on the epitope recognized
Multiple band pattern analysis:
Validation approaches:
Sample preparation factors:
Careful interpretation of Western blot results should consider the specific epitope recognized by the antibody, which may target portions of the alpha or beta subunit, or regions spanning both.
When investigating negative results with INSRR antibodies, consider:
Sample-related issues:
Technical factors:
Antibody-specific considerations:
Storage and handling:
When troubleshooting, systematically evaluate each potential factor beginning with the most fundamental aspects of the protocol before proceeding to more complex considerations.
Studying INSRR phosphorylation requires specialized approaches:
Antibody selection: Use phospho-specific antibodies targeting key tyrosine residues when available, or pan-phosphotyrosine antibodies combined with INSRR immunoprecipitation
Experimental design for phosphorylation analysis:
Maintain samples at 4°C with phosphatase inhibitors during preparation
Include positive controls (insulin-stimulated samples for related phosphorylation patterns)
Consider time-course experiments to capture transient phosphorylation events
Downstream signaling analysis:
Advanced techniques:
Proximity ligation assays to detect INSRR interactions with downstream effectors
Phosphoproteomics approaches for unbiased phosphorylation site mapping
FRET-based biosensors for real-time phosphorylation monitoring in living cells
Understanding the phosphorylation dynamics of INSRR provides crucial insights into its activation mechanisms and downstream signaling consequences in various physiological contexts.
INSRR is described as not binding known ligands of IR and IGF-1R despite high homology . To identify potential physiological ligands:
Receptor binding assays:
Use purified INSRR extracellular domain for direct binding screens
Create INSRR-Fc fusion proteins for pull-down experiments
Develop competitive binding assays against known insulin/IGF ligands
Cell-based approaches:
Reporter cell lines expressing INSRR and downstream signaling readouts
Comparative signaling studies with IR and IGF-1R
Tissue-specific conditioned media screening, particularly from tissues with high INSRR expression
In silico analysis:
Structural modeling of INSRR binding pocket compared to IR/IGF-1R
Molecular docking studies with potential ligand candidates
Evolutionary analysis to identify conserved binding regions
Physiological context investigation:
Focus on pH-dependent activation mechanisms, as INSRR has been suggested to function as an alkali sensor
Examine INSRR activity in tissues that experience pH fluctuations, particularly kidney
These approaches, used in combination, may help identify the elusive physiological ligands or activation mechanisms for INSRR, advancing our understanding of its biological functions.
INSRR has been identified as a marker for Type B Intercalated Cells in kidney research . For researchers in this field:
Experimental approaches for identification and isolation:
Immunohistochemistry protocols optimized for kidney tissue sections
Multi-color immunofluorescence combining INSRR with other known markers
FACS-based cell sorting using membrane-targeted INSRR antibodies
Co-localization studies:
Combine INSRR antibodies with other Type B Intercalated Cell markers
Use confocal microscopy for high-resolution co-localization analysis
Quantitative assessment of marker overlap in different physiological conditions
Functional studies:
Correlate INSRR expression with cellular functions like pH regulation
Investigate changes in INSRR-positive cell populations in disease models
Consider ex vivo kidney slice cultures to maintain native cell architecture
Technical considerations:
These methodological approaches enable researchers to leverage INSRR antibodies effectively for studying the specialized Type B Intercalated Cells in the kidney, advancing our understanding of renal physiology and pathophysiology.
Before conducting extensive experiments, researchers should validate INSRR antibody specificity through:
Positive and negative control tissues:
Multi-technique validation:
Peptide competition assays:
Pre-incubate antibody with immunizing peptide when available
Observe elimination of specific signal in positive control samples
Multiple antibody verification:
Compare results with different antibodies targeting different INSRR epitopes
Use monoclonal and polyclonal antibodies for comparative analysis
Knockdown validation when possible:
siRNA/shRNA-mediated knockdown should reduce antibody signal
CRISPR/Cas9 knockout provides the most definitive validation
Proper validation ensures experimental results accurately reflect INSRR biology rather than non-specific antibody interactions, which is particularly important given INSRR's homology to other insulin receptor family members.
The choice between monoclonal and polyclonal INSRR antibodies depends on specific research goals:
For critical experiments:
Western blot for protein quantification: Consider monoclonal antibodies for consistent results
Immunoprecipitation: Polyclonal antibodies often perform better
Cross-species studies: Polyclonal antibodies typically offer better cross-reactivity
Detection of modified INSRR: Polyclonal antibodies may detect multiple forms
Reproducible assay development: Monoclonal antibodies provide more consistent results
Many researchers use both types complementarily, validating findings with both monoclonal and polyclonal antibodies targeting different epitopes for maximum confidence in results.
While INSRR doesn't bind classic insulin or IGF-1 ligands , its role in metabolic regulation offers research opportunities:
Comparative expression analysis:
Quantify INSRR expression changes in diabetic vs. healthy tissues
Examine correlation between INSRR levels and insulin resistance markers
Investigate tissue-specific regulation in metabolic disease models
Signaling pathway integration:
Methodological approaches:
Tissue microarrays with INSRR antibodies for high-throughput analysis
Phospho-specific detection of activated INSRR signaling
Co-immunoprecipitation studies to identify differential binding partners
Therapeutic implications:
Screen for compounds that modulate INSRR activity
Evaluate INSRR as a potential compensatory mechanism in insulin resistance
Investigate INSRR-targeted approaches for metabolic intervention
These research directions may reveal previously unexplored roles for INSRR in metabolic regulation and potential therapeutic avenues for metabolic disorders.
INSRR is expressed in brain tissue , but studying its neurological functions presents unique challenges:
Technical barriers:
Blood-brain barrier limitations for in vivo antibody applications
Complexity of neural cell types requiring precise localization
Protein extraction challenges from lipid-rich brain tissue
Experimental approaches:
Brain slice immunohistochemistry with optimized antigen retrieval
Primary neuron cultures for functional studies
Cell-type specific analysis using co-localization with neuronal markers
Methodological solutions:
Use fresh-frozen brain sections rather than fixed tissue when possible
Optimize protein extraction with specialized brain tissue lysis buffers
Consider stereotactic antibody delivery for in vivo studies
Emerging techniques:
Single-cell analysis of INSRR expression in neural populations
Spatial transcriptomics combined with INSRR protein detection
Optogenetic approaches combined with INSRR pathway monitoring
Understanding INSRR's role in neurological contexts may provide insights into insulin signaling in the brain and potential connections to neurodegenerative conditions associated with insulin resistance.