HSPA4 (Heat Shock 70kDa Protein 4) is a member of the heat shock protein 70 family with a calculated molecular weight of 94 kDa, though the observed molecular weight is typically around 110 kDa . This protein participates in several cellular processes including chaperone-mediated protein complex assembly, protein import into mitochondrial outer membrane, and response to unfolded protein stress . HSPA4 is primarily localized in the cytosol and extracellular exosomes, and possesses ATP binding capabilities that facilitate its chaperone functions . Recent research has demonstrated that HSPA4 plays significant roles in various cancers, influencing critical cellular processes such as proliferation, migration, and survival .
The HSPA4 antibody has been validated for multiple experimental applications:
Application | Recommended Dilution |
---|---|
Western Blot (WB) | 1:500-1:2000 |
Immunoprecipitation (IP) | 0.5-4.0 μg for 1.0-3.0 mg of total protein lysate |
Immunohistochemistry (IHC) | 1:20-1:200 |
Immunofluorescence (IF)/ICC | 1:50-1:500 |
Flow Cytometry (FC) (Intracellular) | 0.40 μg per 10^6 cells in 100 μl suspension |
It is highly recommended to titrate the antibody for each specific testing system to achieve optimal results, as the optimal concentration may be sample-dependent .
The HSPA4 antibody exhibits confirmed reactivity with samples from multiple species including human, mouse, rat, and monkey . Published literature has primarily cited its use with human and mouse samples . For researchers working with other species, preliminary validation is advisable as reactivity may vary between antibody clones. The FITC-conjugated variant specifically has been validated with human samples according to manufacturer specifications .
FITC-conjugated antibodies, including HSPA4 antibody, should be stored at 4°C to maintain fluorophore stability and prevent photobleaching . The unconjugated form can be stored at -20°C and remains stable for one year after shipment when maintained in appropriate buffer conditions (PBS with 0.02% sodium azide and 50% glycerol at pH 7.3) . For long-term preservation of activity, it is important to minimize freeze-thaw cycles, though aliquoting is generally unnecessary for the specific formulation described .
For optimal immunohistochemical detection of HSPA4 in cancer tissues, the following protocol has been validated:
Tissue section deparaffinization followed by antigen retrieval using citric acid buffer
Primary antibody incubation with anti-HSPA4 at 1:200 dilution
Secondary antibody incubation with IgG HRP-conjugated antibody at 1:400 dilution
Detection using DAB (3,3'-diaminobenzidine) with hematoxylin counterstaining
For FITC-conjugated antibodies, modifications to this protocol would include omitting the secondary antibody step and implementing appropriate fluorescence detection methods. Notably, antigen retrieval can be performed with either TE buffer at pH 9.0 or alternatively with citrate buffer at pH 6.0, with the former showing superior results in some tissue types .
The evaluation of immunohistochemical results should follow a systematic approach using a scoring system that accounts for both staining percentage (1: 1-24%, 2: 25-49%, 3: 50-74%, 4: 75-100%) and staining intensity (0: no color, 1: brown, 2: light yellow, 3: dark brown) .
Recent comprehensive pan-cancer analyses have revealed significant associations between HSPA4 expression and various cancer types:
Interestingly, KIRC presents an exception where increased HSPA4 expression associates with extended survival (P=0.023) .
Single-cell analysis of HSPA4 can be conducted using several complementary approaches:
CancerSEA Database Analysis: This specialized single-cell sequencing database enables examination of correlations between HSPA4 expression and 14 tumor-related cellular functions across 900 cancer cells . The T-SNE plot visualization can delineate HSPA4 expression patterns in single cells within TCGA samples.
Flow Cytometry with FITC-conjugated HSPA4 Antibody: For intracellular detection, a recommended protocol includes:
Protein-Protein Interaction (PPI) Network Analysis: The STRING database can be utilized to identify proteins potentially interacting with HSPA4, with a recommended confidence score threshold of 0.7. Network visualization and analysis through Cytoscape with the cytoHubba plugin can identify key modules and hub genes associated with HSPA4 .
To investigate HSPA4's relationship with immune components in the tumor microenvironment, researchers can employ several algorithmic and database approaches:
Immune Infiltration Analysis: Utilize algorithms including MCPCOUNTER, TIDE, EPIC, XCELL, and TIMER through the TIMER2.0 tool to assess correlations between HSPA4 expression and immune cell infiltration levels in tumor tissues .
Molecular/Immune Subtype Correlation: The "Subtype" module of the TISIDB database allows examination of potential associations between HSPA4 expression and molecular or immune subtypes in prevalent cancers .
Single-sample Gene Set Enrichment Analysis (ssGSEA): Employ the R "GSVA" package to elucidate associations between HSPA4 expression and 22 immune-related cell types .
Gene Set Enrichment Analysis (GSEA): This approach can discern differences in biological pathways between high and low HSPA4 expression groups, with visualization through platforms like the Xiantao Academic platform .
These methodologies collectively provide a comprehensive framework for understanding HSPA4's potential role in modulating immune responses within the tumor microenvironment.
When working with FITC-conjugated HSPA4 antibody, researchers commonly encounter several technical issues:
Photobleaching: FITC is susceptible to rapid photobleaching during microscopy.
Solution: Minimize exposure to light during sample preparation, employ anti-fade mounting media containing photoprotectants, and use appropriate neutral density filters during imaging to reduce excitation light intensity.
Autofluorescence: Particularly problematic in tissues with high collagen content or formalin-fixed samples.
Solution: Implement autofluorescence quenching steps using agents such as Sudan Black B (0.1-0.3%) or sodium borohydride treatment (1mg/ml for 10 minutes).
Inadequate Signal Intensity: Particularly in tissues with low HSPA4 expression.
Non-specific Binding: Can result in high background fluorescence.
Solution: Implement more stringent blocking (5-10% normal serum from the same species as the secondary antibody plus 1% BSA) and include 0.1-0.3% Triton X-100 in blocking and antibody dilution buffers to improve specificity.
Rigorous validation of HSPA4 antibody specificity in new experimental systems should include:
Positive and Negative Controls:
Positive Controls: Include samples known to express HSPA4 such as C6 cells, HEK-293 cells, mouse testis tissue, NIH/3T3 cells, or brain tissues from mouse or rat which have been confirmed to show positive WB results .
Negative Controls: Include primary antibody omission controls and, ideally, HSPA4-knockout or knockdown samples if available.
Peptide Competition Assay:
Cross-Validation with Multiple Detection Methods:
siRNA or CRISPR Knockout Validation:
Generate HSPA4 knockdown or knockout samples and verify reduced antibody binding proportional to target reduction.
Based on findings that HSPA4 knockdown causes cell cycle arrest in the G2-phase and increases apoptosis , researchers can implement the following methodological approaches:
Flow Cytometry for Cell Cycle Analysis:
Apoptosis Assessment:
Combine HSPA4 antibody staining with annexin V and 7-AAD to correlate HSPA4 expression with early and late apoptotic events.
For mechanistic studies, examine the relationship between HSPA4 expression and apoptosis-related proteins based on research showing altered expression of these proteins with HSPA4 silencing .
Western Blot Analysis of Cell Cycle Regulators:
PI3K/Akt Signaling Assessment:
To investigate HSPA4's biomarker potential, researchers should consider:
Tissue Microarray (TMA) Analysis:
ROC Curve Analysis:
Correlation with Pathological Staging:
Multiparameter Flow Cytometry:
Develop flow cytometry panels incorporating FITC-conjugated HSPA4 antibody with other cancer biomarkers to improve diagnostic sensitivity and specificity.
Given HSPA4's potential as a therapeutic target in colorectal cancer and its prognostic significance in multiple cancer types , researchers can explore:
Target Validation Studies:
Use FITC-conjugated HSPA4 antibody in high-content screening to identify compounds that modulate HSPA4 expression or function.
Implement flow cytometry with HSPA4 antibody to monitor therapy-induced changes in HSPA4 expression.
Patient Stratification for Clinical Trials:
Combination Therapy Approaches:
Circulating Tumor Cell Analysis:
Adapt HSPA4 antibody protocols for CTC detection and monitoring, potentially combining with liquid biopsy approaches for longitudinal patient monitoring.
To explore the intersection of HSPA4 function and cancer immunology, researchers should consider:
Multiplex Immunofluorescence:
Develop protocols combining FITC-conjugated HSPA4 antibody with markers for various immune cell populations to visualize spatial relationships between HSPA4-expressing cells and immune infiltrates in the tumor microenvironment.
Immune Cell Co-culture Systems:
Bioinformatic Analysis of HSPA4 and Immune Parameters: