HSPA2 is a 70-kDa chaperone protein with structural domains typical of HSPA family members: an N-terminal nucleotide-binding domain (NBD) and a C-terminal substrate-binding domain (SBD) . Unlike stress-inducible paralogs like HSPA1, HSPA2 is constitutively expressed in specific tissues, including testis and epithelial cells, and is implicated in:
Epithelial cell differentiation: Supports clonogenic potential and adhesion in bronchial epithelial cells .
Cancer biology: Overexpressed in tumors such as pancreatic adenocarcinoma, lung cancer, and breast cancer, correlating with poor prognosis .
HSPA2 antibodies are widely used in techniques like Western blot (WB), immunohistochemistry (IHC), and immunofluorescence. Key applications include:
Cancer biomarker studies: Detecting HSPA2 overexpression in tumor tissues (e.g., pancreatic, lung, and cervical cancers) .
Functional assays: Investigating HSPA2’s role in cell proliferation, migration, and stress responses .
Extracellular vesicle (EV) research: Identifying HSPA2 as a cargo protein in EVs under proteotoxic stress .
Due to high sequence homology among HSPA family members, antibody cross-reactivity is a major concern. Studies highlight significant variability in specificity:
HSPA2 expression levels in tumors have prognostic implications:
Mechanistic Insights:
Contradictory Roles: While HSPA2 supports bronchial epithelial cell adhesion, its necessity in maintaining malignant phenotypes is debated .
To ensure reliable HSPA2 detection:
HSPA2 (Heat Shock Protein Family A (Hsp70) Member 2) is a molecular chaperone involved in a wide array of cellular processes. These include proteome protection from stress, the folding and transport of newly synthesized polypeptides, the activation of proteolysis for misfolded proteins, and the formation and dissociation of protein complexes. HSPA2 plays a crucial role in protein quality control, ensuring correct protein folding, refolding of misfolded proteins, and targeting proteins for degradation. This function is mediated through cycles of ATP binding, ATP hydrolysis, and ADP release, facilitated by co-chaperones. The affinity for polypeptides is regulated by its nucleotide-bound state; the ATP-bound form exhibits low substrate affinity, while ATP hydrolysis to ADP induces a conformational change, increasing substrate affinity. Repeated ATP hydrolysis and nucleotide exchange cycles enable substrate binding and release. HSPA2 also participates in spermatogenesis and, in association with SHCBP1L, may contribute to maintaining spindle integrity during meiosis in male germ cells.
Applications : WB
Sample type: Buffalo/other mammals Tissue
Review: Western blot the proteins HSPA2 were presented in the ubiquitin-IP pulldown and the protein ubiquitin was presented in HSPA2-IP pulldown as well.
HSPA2 (Heat Shock Protein A2) is a member of the HSPA (HSP70) family of molecular chaperones that plays a fundamental role in cell proteostasis. HSPA2 was originally identified as a testis-enriched chaperone but has recently emerged as an important cancer-relevant protein with potential biomarker significance . Unlike some other heat shock proteins that are ubiquitously expressed, HSPA2 demonstrates cell-type specific expression patterns in normal human tissues, which makes it an interesting research target . The protein is constitutively expressed in certain tissues and cell types, such as the adrenal gland, bronchus, cerebellum, cerebrum, colon, esophagus, kidney, skin, small intestine, stomach, and testis, but is absent in others including adipose tissue, bladder, breast, cardiac muscle, liver, and lung . This highly differentiated expression pattern suggests that HSPA2 may be involved in regulating specific cellular processes distinct from other HSPA family members, making it both interesting for basic research and potentially valuable as a biomarker in pathological conditions .
The primary challenge in HSPA2 detection is the high sequence homology among members of the HSPA family, which leads to significant cross-reactivity issues with antibodies. Research has demonstrated that most commercial antibodies marketed as specific for HSPA2 actually cross-react with one or more other HSPA proteins, particularly HSPA1 and HSPA6 . This cross-reactivity can lead to false positive results and incorrect interpretations, especially in experimental conditions where other HSPAs are upregulated, such as under proteotoxic stress . Additionally, the discrepancy between relatively high HSPA2 transcript levels and low protein expression in some tissues suggests potential post-transcriptional regulation mechanisms that complicate the correlation between mRNA and protein detection . These complexities make the specific detection of HSPA2 a significant methodological challenge that requires careful antibody selection and proper experimental validation.
HSPA2 and HSPA1 exhibit distinctly different expression patterns in normal human tissues. According to immunohistochemical studies using tissue microarrays:
| Tissue Type | HSPA2 Expression | HSPA1 Expression |
|---|---|---|
| Adrenal gland | Present | Present |
| Bronchus | Present | Present |
| Esophagus | Present | Present |
| Kidney | Present | Present |
| Skin | Present | Present |
| Cerebellum | Present | Absent |
| Cerebrum | Present | Absent |
| Colon | Present | Absent |
| Small intestine | Present | Absent |
| Stomach | Present | Absent |
| Testis | Present | Absent |
| Bladder | Absent | Present |
| Breast | Absent | Present |
| Cardiac muscle | Absent | Present |
| Prostate | Absent | Present |
| Adipose tissue | Absent | Absent |
| Diaphragm | Absent | Absent |
| Liver | Absent | Absent |
| Lung | Absent | Absent |
| Lymph node | Absent | Absent |
| Pancreas | Absent | Absent |
| Skeletal muscle | Absent | Absent |
| Spleen | Absent | Absent |
| Thyroid | Absent | Absent |
This differential expression pattern suggests that these two highly homologous proteins likely have distinct physiological functions in different tissues . Moreover, within tissues where both proteins are expressed, they often show cell-type specific localization patterns, further supporting their non-overlapping roles .
To ensure specific detection of HSPA2, researchers should implement a multi-faceted validation approach:
Western blotting with recombinant proteins: Test antibody against purified recombinant HSPA2 and other HSPA family members (particularly HSPA1, HSPA6, and HSPA8) to assess cross-reactivity . This approach helps identify antibodies that bind exclusively to HSPA2.
Genetic knockout/knockdown validation: Use genetically engineered cell lines with confirmed HSPA2 knockdown (e.g., shRNA-mediated) as negative controls to verify that the signal decreases appropriately . Testing in HSPA1-knockdown cells can also reveal potential cross-reactivity issues.
Overexpression systems: Test antibodies in systems with controlled overexpression of either HSPA2 or other HSPA family members to confirm specificity and evaluate potential cross-reactivity under high antigen concentration conditions .
Stress response testing: Evaluate antibody performance under conditions that upregulate stress-inducible HSPAs (e.g., proteasome inhibition with MG132) to determine if the antibody maintains specificity when high levels of HSPA1 and HSPA6 are present .
Peptide competition assays: Preincubate the antibody with the peptide antigen used for immunization to confirm that this blocks the specific signal .
Studies have shown that only certain antibodies, such as the Abcam antibody tested in the referenced research, demonstrated true specificity for HSPA2 across these validation methods .
Cellular stress significantly complicates HSPA2 detection due to the massive upregulation of stress-inducible HSPAs (particularly HSPA1 and HSPA6). In proteotoxic stress conditions induced by proteasome inhibitors like MG132, expression of stress-inducible HSPAs increases dramatically while actual HSPA2 expression may decrease . Research has shown that different antibodies yield contradictory results under these conditions—antibodies cross-reacting with HSPA1 and/or HSPA6 show apparent increases in "HSPA2" signal, while truly specific antibodies may show decreased or unchanged HSPA2 levels .
For proper experimental controls when investigating HSPA2 under stress conditions, researchers should:
Validate antibody specificity: Use only validated, specific anti-HSPA2 antibodies that have been confirmed not to cross-react with other HSPAs, particularly HSPA1 and HSPA6 .
Include stress markers: Simultaneously detect known stress-inducible proteins (HSPA1, HSPA6) using specific antibodies to confirm stress induction and monitor potential cross-reactivity .
Employ genetic controls: Include HSPA2-knockdown cells subjected to the same stress conditions as a negative control .
Use multiple detection methods: Combine immunodetection with other approaches like RT-qPCR to differentiate between transcriptional and translational changes .
Dose-response analysis: Test varying stress intensities to differentiate specific HSPA2 responses from general stress responses .
The discrepancy between HSPA2 transcript levels and protein expression observed in many tissues and cell types points to complex post-transcriptional regulatory mechanisms. Several factors may contribute to this phenomenon:
Post-transcriptional regulation: Evidence suggests that despite relatively high levels of HSPA2 transcript detected in numerous human tissues, the corresponding protein expression is often insignificant or undetectable . This indicates regulatory mechanisms operating at the post-transcriptional level.
Inefficient translation: The HSPA2 transcript might be inefficiently translated in certain cell types. For example, HCT116 human colon cancer cells showed presence of HSPA2 mRNA but undetectable protein, suggesting translation might be downregulated .
Cell-type specificity: Much like in testis, where HSPA2 expression is restricted to specific germinal cell populations (spermatocytes and spermatids), somatic tissues may also exhibit highly selective cell-type-specific expression patterns that aren't captured in whole-tissue analyses .
Protein stability and turnover: Differential stability and degradation rates of HSPA2 protein compared to its mRNA could contribute to the observed discrepancies.
Detection limitations: Historical findings may reflect limitations in antibody specificity or sensitivity rather than true biological patterns .
Researchers investigating HSPA2 should consider these factors when designing experiments and interpreting results, particularly when comparing mRNA and protein expression data.
For optimal cell-type specific immunohistochemical detection of HSPA2 in tissue samples, researchers should implement the following comprehensive strategy:
Antibody selection: Use only validated monospecific antibodies that have been comprehensively tested for cross-reactivity with other HSPA family members . Studies indicate that certain non-commercial monospecific rabbit polyclonal anti-HSPA2 antibodies have demonstrated reliable specificity .
Tissue processing: Use standardized fixation protocols (formalin-fixed, paraffin-embedded tissues) with appropriate antigen retrieval methods to ensure optimal epitope exposure .
Multiple controls: Include:
Cell-type markers: Co-stain with cell-type specific markers (e.g., cytokeratin for epithelial cells) to accurately identify HSPA2-positive cell populations within heterogeneous tissues . This is particularly important since HSPA2 expression is highly cell-type specific even within positive tissues.
Semi-quantitative scoring: Employ a standardized semi-quantitative scoring methodology referencing the staining intensity to established positive controls (as demonstrated in cited studies) .
Independent verification: Have multiple investigators independently analyze specimens to ensure reproducible scoring .
This approach has successfully revealed the cell-type specific expression pattern of HSPA2 in tissues such as skin and esophagus (basal layer of stratified squamous epithelia), respiratory tract (basal layer of ciliated pseudostratified columnar epithelium), and adrenal gland cortex (zona reticularis) .
Distinguishing between genuine HSPA2 findings and artifacts caused by antibody cross-reactivity requires a systematic analytical approach:
Antibody validation assessment: Critically evaluate how the antibodies used in contradictory studies were validated. Studies using antibodies that underwent comprehensive cross-reactivity testing against multiple HSPA family members are more reliable . The validation should include tests with recombinant proteins, genetic knockout/knockdown systems, and stress-response experiments .
Experimental context analysis: Consider whether the experimental conditions might have induced stress-inducible HSPAs. Studies examining HSPA2 under proteotoxic stress, heat shock, or other conditions that upregulate HSPA1/HSPA6 are particularly prone to cross-reactivity artifacts .
Multi-method confirmation: Findings confirmed by multiple methodological approaches (e.g., different antibodies, genetic manipulation, mass spectrometry) are more reliable than those based solely on immunodetection .
Correlation with mRNA data: While not always concordant due to post-transcriptional regulation, extreme discrepancies between mRNA and protein detection should raise concerns about antibody specificity .
Cell-type specific patterns: Authentic HSPA2 detection typically reveals characteristic cell-type specific patterns within tissues, rather than uniform expression . Diffuse staining patterns that do not correspond to known HSPA2 distribution may indicate cross-reactivity.
Comparative analysis: When possible, directly compare the methodologies of contradictory studies using the same biological samples and multiple antibodies to identify the source of discrepancies .
Given that studies have demonstrated that antibody selection significantly alters experimental outcomes, particularly in stress-response experiments, researchers should approach contradictory findings with careful methodological scrutiny .
Studying HSPA2 in cancer contexts presents unique methodological challenges compared to normal tissue analysis:
Heterogeneity management: Cancer tissues exhibit greater heterogeneity than normal tissues. Researchers should:
Stress-induced HSPA upregulation: Cancer microenvironments often involve stress conditions that upregulate multiple HSPAs. Researchers must:
Reference controls: Unlike normal tissue studies where matched tissue types can serve as controls, cancer studies require:
Correlation with clinical data: Cancer studies should:
Correlate HSPA2 expression with clinical parameters and outcomes
Validate findings across independent patient cohorts
Control for treatment effects that might alter HSPA expression
Functional validation: For mechanistic studies: