HSP90B1, also known as gp96 or grp94, is a 94-kDa protein that facilitates the proper folding of ER-localized proteins such as Toll-like receptors (TLRs), integrins, and immunoglobulins . Its chaperone activity is essential for maintaining immune homeostasis and cell survival under stress conditions . The antibody binds to HSP90B1’s unique epitopes, enabling its detection or neutralization in experimental and clinical settings.
Western Blotting (WB): Detects HSP90B1 protein levels in lysates (1:1000–5000 dilution) .
Immunohistochemistry (IHC): Visualizes HSP90B1 expression in tissue sections (1:20–200 dilution) .
Immunofluorescence (IF): Localizes HSP90B1 in cellular compartments (1:50–200 dilution) .
Cancer Immunotherapy: Tumor-derived HSP90B1 (vitespen) is under clinical investigation for stimulating anti-tumor immune responses .
Targeted Inhibition: Antibodies blocking HSP90B1’s sub-pockets (S1, S2) inhibit its chaperone activity, disrupting cancer cell survival .
HSP90B1 overexpression is linked to aggressive tumor phenotypes in 33 cancer types analyzed .
Its phosphorylation status influences oncogenic signaling pathways, including HER2 dimerization in breast cancer .
In immunology, HSP90B1 optimizes TLR-mediated immune responses but is dispensable for immunoglobulin assembly .
HSP90B1 antibodies have been successfully validated for multiple applications with specific optimal dilutions:
Western Blot (WB): Most antibodies show strong detection at 1:500-1:16000 dilutions, with HSP90B1 typically appearing as a band at approximately 100 kDa .
Immunohistochemistry (IHC): Effective at 1:20-1:200 dilutions, with suggested antigen retrieval using TE buffer pH 9.0 or citrate buffer pH 6.0 .
Immunofluorescence (IF/ICC): Optimal dilutions range from 1:50-1:800 .
Immunoprecipitation (IP): Typically 0.5-4.0 μg antibody for 1.0-3.0 mg of total protein lysate .
Flow Cytometry: Approximately 0.40 μg per 10^6 cells in a 100 μl suspension .
Each application requires optimization in your specific experimental system, and antibody performance may vary between manufacturers.
The calculated molecular weight of HSP90B1 is 92 kDa, but the observed molecular weight in Western blot is typically 100-110 kDa . This discrepancy is common with HSP90B1 and represents post-translational modifications. Some specific observations include:
Most research-validated antibodies detect HSP90B1 at approximately 100 kDa under reducing conditions .
The mobility in SDS-PAGE can be affected by post-translational modifications, which may cause the observed band size to be inconsistent with the theoretical size .
Using a knockout cell line as a negative control (such as HSP90B1 knockout HEK293T cells) is the strongest validation method to confirm specificity .
Based on validated Western blot and IHC results:
| Cell Lines Positive for WB | Tissues Positive for IHC |
|---|---|
| HeLa (human cervical epithelial carcinoma) | Human mesothelioma tissue |
| HEK-293 (human embryonic kidney) | Human breast cancer tissue |
| A431 (human epidermoid carcinoma) | Human cervical cancer tissue |
| A549 (human lung carcinoma) | Mouse cerebrum tissue |
| A20 (mouse B cell lymphoma) | Mouse testis tissue |
| L6 (rat myoblast) | Human lung cancer |
| HepG2 (human liver carcinoma) | Mouse kidney |
| MCF-7 (human breast adenocarcinoma) | |
| U2OS (human osteosarcoma) |
This data provides reliable positive controls for antibody validation and experimental design .
A multi-faceted approach to validating HSP90B1 antibody specificity includes:
Knockout/knockdown validation: Use HSP90B1 knockout or knockdown cell lines as negative controls. Multiple antibody suppliers have demonstrated specificity using HSP90B1 knockout HEK293T cell lines, showing band presence in parental lines and absence in knockout lines .
Cross-reactivity testing: If working with non-human species, verify cross-reactivity. Many HSP90B1 antibodies are reactive with human, mouse, and rat samples due to high sequence conservation .
Multiple antibody comparison: Use antibodies targeting different epitopes of HSP90B1 to confirm consistent patterns. Search results indicate antibodies targeting different regions (N-terminal domain, middle domain, and C-terminal domain) .
Molecular weight verification: Confirm the detected band appears at approximately 100 kDa, which is the consistently observed molecular weight for HSP90B1 .
Positive controls: Include known positive cell lines or tissues (see section 1.3) when validating a new antibody .
For optimal HSP90B1 detection in fixed samples:
For IHC-P (paraffin-embedded sections):
Immersion fixation in formalin is commonly used
Antigen retrieval is critical, using either:
Incubation with primary antibody:
Detection systems:
For ICC/IF (immunocytochemistry/immunofluorescence):
For cultured cells, immersion fixation is effective
Clear staining has been demonstrated using 10 μg/ml of antibody for 3 hours at room temperature
HSP90B1 typically localizes to the cytoplasm with an endoplasmic reticulum pattern
HSP90B1 is primarily an endoplasmic reticulum (ER) resident protein, but its detection in different compartments requires specific considerations:
Subcellular localization: Primarily in the ER lumen, but also identified in melanosomes (by mass spectrometry in melanosome fractions from stage I to stage IV) .
Staining pattern expectations:
Co-localization studies: When examining potential localization outside the ER, co-staining with compartment-specific markers is essential:
ER markers (e.g., KDEL receptors)
Melanosome markers if studying melanocytes
Plasma membrane markers if examining surface expression
Subcellular fractionation: When biochemically separating cellular compartments, use multiple markers to confirm fraction purity before HSP90B1 detection .
Stress conditions: ER stress can affect HSP90B1 localization and levels, so controlling experimental stress conditions is important .
Based on literature showing HSP90B1 as a critical chaperone for multiple TLRs, consider these methodological approaches:
Cell models: Use B-cell-specific HSP90B1-null mice or cell lines with HSP90B1 knockout/knockdown. Research has shown that HSP90B1 ablation in B cells specifically affects TLR-mediated antibody production .
Functional assays:
Genetic approaches:
Controls and comparisons:
Research has demonstrated HSP90B1 upregulation in various cancers and its involvement in tumor development:
Expression analysis:
Clinical correlation studies:
Functional assays:
Pathway analysis:
In vivo models:
Understanding the distinct properties of HSP90B1 (ER-resident) compared to cytosolic HSP90 is crucial for proper experimental design:
Subcellular localization:
Client protein specificity:
Inhibitor selectivity:
Small molecule inhibitors like PU-H71 and geldanamycin have been used to study HSP90, but may have different affinities for HSP90B1
Chemical probes using immobilized inhibitors can enrich active, client-protein bound HSP90
Biotinylated geldanamycin (GA) with streptavidin beads can capture HSP90 and its binding partners, though with limited efficacy
Conformational states:
Cancer relevance:
Tumors can be classified into subtypes based on HSP90 connectivity
Type 1 tumors show connectivity between HSP90 and HSP70 chaperone systems and contain HSP90 species with pI >4.9
Type 2 tumors lack this connectivity
This distinction may explain varying results with HSP90 inhibitors in different cancer cells
When facing inconsistent results in HSP90B1 Western blots, consider these methodological approaches:
Sample preparation issues:
Antibody selection and optimization:
Detection challenges:
Validation methods:
Technical considerations:
HSP90B1 interactome studies present unique challenges due to the protein's abundance, ubiquity, and dynamic nature:
Cell state considerations:
Subcellular fractionation:
Capture methods:
Affinity capture considerations:
Chemical probes:
Analytical approaches:
Research approaches should be tailored to the specific disease context when studying HSP90B1:
In cancer research:
In immune system and inflammatory disorders:
In infectious disease research:
In neurodegenerative diseases:
In genetic association studies:
Each research context requires specific controls, experimental readouts, and interpretation frameworks to properly establish HSP90B1's role in the disease process.
Several emerging techniques and approaches hold promise for advancing our understanding of HSP90B1:
Single-cell analysis:
Single-cell proteomics to examine heterogeneity in HSP90B1 expression and function
Single-cell RNA-seq to identify transcriptional networks associated with HSP90B1 in stress responses
Spatial transcriptomics to map HSP90B1 activity in complex tissues
Real-time imaging:
Live cell imaging using fluorescently tagged HSP90B1 to track dynamic responses to stress
FRET-based sensors to detect HSP90B1-client interactions in real time
Super-resolution microscopy to examine nanoscale organization of HSP90B1 complexes
Integrated multi-omics:
Combining proteomics, transcriptomics, and metabolomics to create comprehensive models of HSP90B1 function
Network analysis approaches to identify key nodes in HSP90B1-dependent pathways
Machine learning algorithms to predict novel HSP90B1 functions from integrated datasets
Therapeutic targeting:
Development of HSP90B1-specific inhibitors distinct from pan-HSP90 inhibitors
Exploration of client-specific disruption strategies
Investigation of combination approaches targeting HSP90B1 and complementary pathways
These approaches could significantly advance our understanding of HSP90B1's roles beyond current knowledge, particularly in stress response coordination, disease progression, and potential therapeutic applications.