NUCB2 is an EF-hand Ca²⁺ binding protein that plays roles in multiple physiological processes including calcium homeostasis, hypothalamic regulation of feeding, and TNF receptor shedding. It's a 50 kDa protein that can be post-translationally processed into three fragments: nesfatin-1 (aa 1-82), nesfatin-2 (aa 85-163), and nesfatin-3 (aa 166-396) . The N-terminal nesfatin-1 fragment appears to contain most of the biological activity. NUCB2 has gained significant research interest due to its involvement in:
Anorexigenic (appetite-suppressing) activity
Gastric secretion regulation
Role in glucose metabolism
Potential involvement in cancer progression
NUCB2 is expressed in various tissues including the hypothalamus (particularly in the supraoptic nucleus and paraventricular nucleus), stomach, intestine, and other organs, making it relevant for diverse research areas from neuroscience to gastroenterology and oncology .
Several types of NUCB2 antibodies are available for research, varying in host species, clonality, and target epitopes:
When selecting an antibody, researchers should consider the specific experimental requirements, including the species being studied, intended application, and target region of interest .
NUCB2 contains several functional domains that influence antibody epitope selection:
Signal peptide (24 aa) at N-terminus
Nesfatin-1 domain (aa 25-106)
DNA-binding domain (aa 171-223)
EF-hand domain (aa 247-322)
The 51-75 aa region within the nesfatin-1 domain appears particularly important for biological function, as it contains a sequence that interacts with the melanocortin-4 receptor (MC4R) . When selecting antibodies, researchers should consider which domain is most relevant to their research question:
For studies on appetite regulation, antibodies targeting the nesfatin-1 domain (particularly aa 51-75) may be most informative
For investigating calcium binding, antibodies against the EF-hand domain may be preferable
For general detection of NUCB2 expression, antibodies against conserved regions between species might be optimal
Based on validated protocols, the recommended dilutions for NUCB2 antibodies vary by application:
| Application | Recommended Dilution | Optimization Notes |
|---|---|---|
| Western Blot (WB) | 1:1000-1:4000 | May need optimization based on sample type |
| Immunohistochemistry (IHC) | 1:200-1:800 | For paraffin sections, antigen retrieval with TE buffer pH 9.0 is recommended; citrate buffer pH 6.0 can be used as an alternative |
| Immunofluorescence (IF)/ICC | 1:200-1:800 | Titration recommended for optimal signal-to-noise ratio |
| ELISA | Assay-dependent | Should be optimized for each testing system |
It's important to note that these are starting recommendations, and antibody concentration should be titrated for each experimental system to obtain optimal results . Sample-dependent optimization is particularly important when working with different tissue types.
Sample preparation varies by technique and tissue type:
For Western Blotting:
Protein extraction should be performed with buffers containing protease inhibitors to prevent degradation
Phosphatase inhibitors should be included if investigating phosphorylated NUCB2
The expected molecular weight range is 46-50 kDa for full-length NUCB2, with potential post-translationally modified forms at ~55 kDa in certain cancer cells
For Immunohistochemistry:
Paraffin-embedded sections require antigen retrieval
Primary recommendation: TE buffer pH 9.0
Alternative: citrate buffer pH 6.0
In gastric tissues, NUCB2 has been detected in secretory granules of chief cells and in the cytoplasm of parietal cells in functioning gastric glands
For cell culture samples:
Positive ICC/IF detection has been validated in U2OS cells
For gastric cancer research, SGC-7901 and AGS cell lines have shown detectable NUCB2 expression
Multiple validation approaches should be employed:
Positive and negative controls:
Known positive tissues: mouse brain tissue, rat brain tissue, human milk
Cell lines: SGC-7901, U2OS cells
Negative controls should include secondary antibody-only controls and tissues known to lack NUCB2 expression
Size confirmation:
Expected molecular weight range: 46-50 kDa for full-length NUCB2
In cancer samples, look for potential post-translationally modified forms (~55 kDa)
RNAi knockdown:
Some antibodies (e.g., HPA008395) have been validated through RNAi knockdown experiments
This approach confirms that signal reduction follows NUCB2 expression reduction
Multiple antibodies:
Distinguishing between full-length NUCB2 and its processed fragments requires careful experimental design:
Antibody selection:
Use antibodies specific to different regions of NUCB2
For nesfatin-1 specific detection, antibodies targeting aa 25-106 region
For full-length NUCB2, antibodies against C-terminal regions
Western blot analysis:
Full-length NUCB2: ~50 kDa
Processed nesfatin-1: ~9.7 kDa
Use appropriate gel percentage (12-15% for nesfatin-1 detection)
Important considerations:
Most commercial antibodies detect full-length NUCB2 but not mature nesfatin-1
The Phoenix Pharmaceuticals antibody has not detected endogenous processed nesfatin-1 in some studies
The purified nesfatin-1 ab24 antibody has successfully detected processed nesfatin-1 in rat cerebrospinal fluid
It's worth noting that there's some controversy regarding whether NUCB2 is cleaved to nesfatin-1 in vivo, as the unprocessed full-length NUCB2 appears biologically active. Many researchers now refer to the protein as "NUCB2/nesfatin-1" to acknowledge this uncertainty .
Contradictory findings regarding NUCB2 expression in cancer require careful methodological consideration:
NUCB2 phosphorylation has been documented in gastric mucosa and may be functionally significant:
Detection methods:
Phospho-specific antibodies (if available)
Phospho-protein enrichment followed by Western blot with NUCB2 antibodies
Phos-tag SDS-PAGE to separate phosphorylated from non-phosphorylated forms
Experimental approach:
Compare phosphorylation status between normal and pathological tissues
Investigate kinases potentially involved using kinase inhibitors
Employ mass spectrometry to identify specific phosphorylation sites
Functional assessment:
Recent research has revealed complex roles for NUCB2 in gastric cancer:
Clinical correlations:
High NUCB2 expression correlates with deep tumor invasion, lymphovascular invasion, lymph node metastasis, and advanced clinical stages
NUCB2 serves as an independent predictor of unfavorable progression-free survival in gastric cancer patients
Association with prognosis is particularly significant in patients who received post-operative chemotherapy
Cellular mechanisms:
NUCB2 knockout induces cellular senescence in gastric cancer cell lines
This leads to increased E-cadherin expression and decreased proliferation
NUCB2 appears to inhibit senescence in gastric carcinoma, promoting tumor progression
Knockout experiments showed inhibited proliferation, increased susceptibility to apoptosis, and reduced migration capability
Immune relevance:
NUCB2 has been identified as a potential tumor antigen eliciting autoantibody responses in 5.4% of gastric cancer patients
Autoantibodies against NUCB2 were found exclusively in gastric cancer patients, not in colon/breast cancer patients or healthy donors
The immunogenicity may be related to cancer-specific post-translational modifications or alternative transcript variants
NUCB2/nesfatin-1 plays important roles in metabolic regulation through several mechanisms:
Central nervous system actions:
Intestinal-hepatic axis:
Translational relevance:
Investigating NUCB2 post-translational modifications presents several methodological challenges:
Detecting processed forms:
Cancer-specific modifications:
A 55 kDa isoform has been detected in gastric tumors and AGS gastric cancer cells
This modification is absent in normal gastric mucosa
The nature of this modification remains unidentified but may trigger immune responses
Techniques like mass spectrometry are needed to characterize these modifications
Phosphorylation analysis:
Several promising research directions emerge from recent findings:
Cancer biomarker development:
Therapeutic target validation:
Structural biology applications:
Addressing contradictions requires systematic methodological approaches:
Standardized reporting:
Clear documentation of antibody specificity, including epitope information
Detailed sample preparation protocols
Comprehensive characterization of experimental models
Multi-level analysis:
Integrate transcriptomics, proteomics, and functional data
Examine transcript variants and post-translational modifications
Consider tissue-specific and context-dependent effects
Collaborative approaches: