NIPSNAP3B antibody is a polyclonal IgG antibody raised in rabbits against a synthetic peptide corresponding to amino acids 40–90 of human NIPSNAP3B . It recognizes a 28–30 kDa protein encoded by the NIPSNAP3B gene (UniProt: Q9BS92) located on chromosome 9q31.3 .
NIPSNAP3B and homologs (NIPSNAP1/2) modulate TLR4-mediated IL-8 production via mitochondrial OCR regulation .
Clarithromycin (CAM) binds NIPSNAP1/2, suppressing IL-8 secretion by inhibiting mitochondrial function .
Parkinson’s Disease: Antibodies targeting NIPSNAP3B identified clear bands in neuronal studies, aiding pathophysiological research .
Cancer: Amplified in glioblastomas co-occurring with EGFR mutations .
| Supplier | Catalog Number | Price | Applications | Reactivity |
|---|---|---|---|---|
| Boster Bio | A17432 | $549 | WB, IHC, IF, ELISA | Human, Mouse |
| Proteintech | 11789-1-AP | $735 | WB, IHC, ELISA | Human, Mouse, Rat |
| Merck Millipore | ABN355 | Inquire | WB, IHC | Mouse |
Western Blot: Detects NIPSNAP3B in mouse brain lysates at 1–2 μg/mL .
Immunohistochemistry: Localizes NIPSNAP3B in mitochondrial and cytoplasmic compartments .
Functional Studies: siRNA knockdown reduces mitochondrial OCR, linking NIPSNAP3B to metabolic regulation .
NIPSNAP3B belongs to the evolutionarily conserved NIPSNAP protein family with putative roles in vesicular trafficking. The protein is primarily associated with mitochondrial function and cellular metabolism. NIPSNAP3B maps to chromosome 9q31.3 and encodes a 247-amino-acid protein with a calculated molecular mass of approximately 28 kDa, though observed molecular weight in experimental contexts ranges between 28-30 kDa with some reports indicating a higher 68 kDa band under certain conditions . The protein has been implicated in mitochondrial dynamics and function, making it particularly relevant for research into metabolic disorders and neurodegenerative conditions . NIPSNAP proteins demonstrate strong sequence similarity to portions of proteins encoded by C. elegans chromosome III, positioned between a 4-nitrophenylphosphatase (NIP) domain and non-neuronal SNAP25-like protein .
NIPSNAP3B demonstrates differential tissue expression patterns that researchers should consider when designing experiments. It is highly expressed in skeletal muscle, which contrasts with its paralog NIPSNAP3A that shows comparatively low expression in this tissue . For researchers, this tissue-specific distribution suggests skeletal muscle as an optimal positive control tissue for antibody validation. When designing experiments, consider using mouse or rat liver tissue as additional positive controls, as these have been validated for Western blot applications with anti-NIPSNAP3B antibodies . For immunohistochemistry studies, human lymphoma tissue has been successfully used with appropriate antigen retrieval methods (TE buffer pH 9.0 or citrate buffer pH 6.0) . The distinct expression pattern should guide sample selection in comparative studies examining NIPSNAP3B across different tissues or disease states.
NIPSNAP3B gene has been reported to be highly associated with low bone mineral density (BMD) variation in postmenopausal Caucasian women . This association presents significant opportunities for translational research investigating the mechanisms by which NIPSNAP3B influences bone metabolism. When designing clinical studies, researchers should consider implementing stratified analysis based on menopausal status and ethnicity to account for potential demographic variations in this association. Methodologically, combining antibody-based protein detection with genotyping approaches may provide insights into how specific genetic variants affect protein expression and function in relation to BMD. Investigation protocols might include comparative immunohistochemical analysis of bone tissue samples from individuals with different BMD levels, correlating NIPSNAP3B expression patterns with clinical parameters and genetic variants. This multi-modal approach can help elucidate whether NIPSNAP3B functions as a biomarker or a causative factor in bone density regulation.
Selecting the appropriate NIPSNAP3B antibody requires systematic evaluation of several critical parameters. First, determine the required species reactivity—available antibodies show confirmed reactivity with human, mouse, and rat samples . Next, consider the intended application; current commercial antibodies are validated for Western blot (WB), immunohistochemistry (IHC), ELISA, and some for immunofluorescence (IF) . For optimal sensitivity, evaluate the validation data showing the antibody's performance in your specific application. For instance, if conducting WB analysis, commercial antibodies typically offer working dilutions ranging from 1:1000-1:4000 . For IHC applications, more concentrated preparations are generally needed (1:20-1:200) . Consider the immunogen used to generate the antibody—some target specific epitopes near the center of human NIPSNAP3B (amino acids 40-90) , which may affect detection of particular isoforms or modified forms of the protein. Finally, assess cross-reactivity profiles; some antibodies are specifically designed to avoid cross-reactivity with other NIPSNAP family members , which is crucial for studies requiring high specificity.
Rigorous validation of NIPSNAP3B antibodies is essential for ensuring experimental reliability. Start with positive control validation using tissues known to express NIPSNAP3B, such as skeletal muscle or liver tissues from mouse or rat . For Western blot validation, verify that the observed molecular weight matches the expected size of 28-30 kDa , though be aware that some commercial antibodies report detecting a band at 68 kDa , which may represent post-translationally modified forms or complexes. Include negative controls using tissues where NIPSNAP3B expression is minimal or using NIPSNAP3B knockout/knockdown samples if available. For quantitative applications, establish a standard curve to determine the linear detection range of the antibody. Cross-validation with a second antibody targeting a different epitope of NIPSNAP3B provides additional confidence in specificity. For IHC applications, validate using both positive control tissues (lymphoma tissue has been confirmed suitable) and appropriate antigen retrieval methods—specifically, TE buffer at pH 9.0 or citrate buffer at pH 6.0 . Finally, include peptide competition assays where commercially available blocking peptides are used to confirm binding specificity .
For optimal Western blot detection of NIPSNAP3B, follow this methodological approach: First, prepare protein samples from tissues with confirmed expression (skeletal muscle, liver) using a lysis buffer containing protease inhibitors to prevent degradation. Load 20-50 μg of total protein per lane on a 10-12% SDS-PAGE gel, which provides optimal resolution for the 28-30 kDa NIPSNAP3B protein . After electrophoresis, transfer proteins to a PVDF or nitrocellulose membrane using standard transfer conditions (100V for 1 hour or 30V overnight). Block the membrane with 5% non-fat dry milk or BSA in TBST for 1 hour at room temperature. Incubate with primary anti-NIPSNAP3B antibody at an appropriate dilution (typically 1:1000-1:4000) in blocking buffer overnight at 4°C. After washing with TBST (3 × 10 minutes), incubate with HRP-conjugated secondary antibody (typically 1:5000) for 1 hour at room temperature. Following additional washes, visualize using enhanced chemiluminescence detection. The expected molecular weight is 28-30 kDa , though some antibodies may detect a band at 68 kDa , potentially representing dimers or post-translationally modified forms. For quantitative analysis, normalize NIPSNAP3B expression to appropriate housekeeping proteins and analyze using densitometry software.
Immunohistochemical detection of NIPSNAP3B requires careful optimization depending on tissue type. Begin with formalin-fixed, paraffin-embedded sections of 4-6 μm thickness. For antigen retrieval, which is critical for NIPSNAP3B detection, use either TE buffer at pH 9.0 (preferred) or citrate buffer at pH 6.0 . Heat-mediated antigen retrieval should be performed using a pressure cooker or microwave method. After cooling sections to room temperature, block endogenous peroxidase activity with 3% hydrogen peroxide for 10 minutes, followed by protein blocking with 5% normal serum. Incubate sections with primary anti-NIPSNAP3B antibody at dilutions ranging from 1:20 to 1:200 , with the optimal dilution requiring empirical determination for each tissue type. For skeletal muscle, where NIPSNAP3B is highly expressed , start with more dilute antibody preparations, while for tissues with lower expression, more concentrated antibody may be necessary. Incubate overnight at 4°C in a humidified chamber. After washing with PBS, apply appropriate secondary antibody and detection system (DAB or AEC). For dual-labeling experiments to colocalize NIPSNAP3B with mitochondrial markers, fluorescent secondary antibodies can be used with confocal microscopy. Counterstain with hematoxylin for brightfield applications or DAPI for fluorescence. Human lymphoma tissue has been validated as a positive control for IHC applications .
When designing ELISA-based quantification of NIPSNAP3B, several methodological considerations are critical for obtaining reliable results. First, determine whether a sandwich ELISA or competitive ELISA approach is most appropriate—sandwich ELISAs typically offer greater sensitivity and specificity for protein detection in complex biological samples. For a sandwich ELISA, use a capture antibody targeting one epitope of NIPSNAP3B coated onto microplate wells, followed by sample addition and detection with a second anti-NIPSNAP3B antibody targeting a different epitope. This requires two antibodies with confirmed non-overlapping epitope recognition. Alternatively, for competitive ELISA, purified NIPSNAP3B protein competing with sample-derived NIPSNAP3B for antibody binding can be implemented. Regardless of approach, establish a standard curve using recombinant NIPSNAP3B protein spanning concentrations from 0.1-1000 ng/mL to determine the assay's linear detection range. Optimize sample dilution to ensure measurements fall within this linear range. For tissues known to express NIPSNAP3B at high levels (skeletal muscle) , more substantial dilution will be required. Include appropriate negative controls (samples from NIPSNAP3B knockout models if available) and positive controls (recombinant protein or extracts from tissues with confirmed expression). Be aware that post-translational modifications may affect antibody recognition in native conditions, potentially resulting in different quantification compared to denaturing methods like Western blotting.
When studying NIPSNAP3B expression in disease models, implementing robust controls and validation steps is essential for generating reliable and interpretable data. First, establish appropriate control groups that match experimental subjects in key variables like age, sex, and genetic background, differing only in disease status. For each experiment, include positive controls (tissues known to express NIPSNAP3B, such as skeletal muscle ) and negative controls (tissues with minimal expression or samples treated with blocking peptides). When using antibody-based detection methods, validate antibody specificity in your specific disease model, as pathological conditions can alter protein expression patterns and potentially introduce cross-reactivity. Implement at least two independent methods to measure NIPSNAP3B expression—for example, combine protein detection (Western blot, IHC) with mRNA quantification (qRT-PCR, RNA-seq). This multi-modal approach helps distinguish between transcriptional and post-transcriptional regulation. For mechanistic studies, include gain-of-function (overexpression) and loss-of-function (siRNA, CRISPR-Cas9) approaches to manipulate NIPSNAP3B levels and observe functional consequences. Given NIPSNAP3B's association with bone mineral density in postmenopausal women , studies involving this phenotype should stratify analyses by sex, age, and menopausal status. Finally, when comparing disease states, quantify NIPSNAP3B using appropriate normalization methods and statistical analyses, reporting both effect sizes and statistical significance.
Several technical challenges commonly arise in NIPSNAP3B detection that require systematic troubleshooting approaches. For Western blot applications, weak or absent signal despite confirmed expression can result from insufficient protein extraction, degradation during sample preparation, or ineffective antigen retrieval. Address these issues by: using freshly prepared samples with protease inhibitors; optimizing lysis buffer composition (consider RIPA or urea-based buffers for membrane-associated proteins); and ensuring complete protein denaturation before gel loading. High background in both Western blot and IHC can be mitigated by optimizing blocking conditions (try different blockers like 5% milk, BSA, or commercial blockers) and implementing more stringent washing protocols (increasing wash duration or detergent concentration). For IHC applications, false-negative results might occur due to overfixation or inadequate antigen retrieval. Optimize fixation times (generally 24-48 hours in 10% neutral buffered formalin) and test different antigen retrieval methods—specifically for NIPSNAP3B, compare the effectiveness of TE buffer at pH 9.0 versus citrate buffer at pH 6.0 . Non-specific binding in IHC can be reduced by titrating primary antibody concentration (test dilutions from 1:20 to 1:200) and implementing appropriate blocking of endogenous peroxidase and biotin. For quantitative applications, inconsistent results between replicates may indicate sample heterogeneity or technical variability; standardize sample collection, processing protocols, and implement technical replicates with appropriate statistical analysis.
Investigating NIPSNAP3B interactions with mitochondrial proteins requires sophisticated methodological approaches that preserve physiologically relevant protein-protein interactions. Begin with co-immunoprecipitation (co-IP) studies using anti-NIPSNAP3B antibodies under native conditions to pull down interaction partners, followed by mass spectrometry identification. To minimize false positives, implement stringent washing conditions and include appropriate negative controls (IgG pulldowns, samples from NIPSNAP3B-depleted cells). For validation of specific interactions, reciprocal co-IPs should be performed, pulling down suspected interaction partners and probing for NIPSNAP3B. Proximity ligation assays (PLA) provide in situ visualization of protein interactions with subcellular resolution—particularly valuable for confirming mitochondrial localization of interactions. For dynamic interaction studies, implement FRET (Förster Resonance Energy Transfer) or BiFC (Bimolecular Fluorescence Complementation) using fluorescently tagged NIPSNAP3B and candidate interacting proteins. To understand the functional consequences of these interactions, combine interaction studies with functional assays measuring mitochondrial parameters (membrane potential, oxygen consumption, ATP production) under conditions where NIPSNAP3B levels or interactions are manipulated. For structural insights into interaction interfaces, consider hydrogen-deuterium exchange mass spectrometry (HDX-MS) or crosslinking mass spectrometry (XL-MS) approaches. Given NIPSNAP3B's putative role in vesicular trafficking , investigate potential interactions with proteins involved in mitochondrial dynamics and mitophagy pathways.
Studying NIPSNAP3B's role in bone metabolism requires integrated approaches spanning molecular, cellular, and in vivo methodologies. Given NIPSNAP3B's association with bone mineral density in postmenopausal women , design studies that incorporate both cellular models and clinical samples. At the cellular level, implement primary osteoblast and osteoclast cultures with NIPSNAP3B knockdown or overexpression to assess effects on differentiation, mineralization, and bone resorption. Quantify changes in osteogenic markers (RUNX2, ALP, osteocalcin) and osteoclastogenic markers (TRAP, cathepsin K) following NIPSNAP3B manipulation. For mechanistic studies, investigate NIPSNAP3B's potential regulation of key signaling pathways in bone homeostasis (Wnt/β-catenin, BMP, RANKL/OPG) using reporter assays and phosphorylation status analysis. In animal models, generate conditional knockout mice with osteoblast-specific or osteoclast-specific deletion of NIPSNAP3B to assess bone phenotypes using micro-CT, histomorphometry, and biomechanical testing. Consider ovariectomized models to specifically address NIPSNAP3B's role in postmenopausal bone loss. For translational relevance, analyze NIPSNAP3B expression in human bone biopsy samples from individuals with varying BMD using immunohistochemistry with the validated antibodies (1:20-1:200 dilution with TE buffer pH 9.0 antigen retrieval) . Correlate NIPSNAP3B levels with clinical parameters, genotyping data for NIPSNAP3B polymorphisms, and serum markers of bone turnover to establish potential diagnostic or therapeutic relevance.
Investigating NIPSNAP3B's potential roles in neurodegenerative diseases requires multidisciplinary approaches addressing both mechanistic understanding and translational relevance. Begin with expression profiling of NIPSNAP3B in post-mortem brain tissue from patients with various neurodegenerative conditions compared to age-matched controls using validated antibodies for Western blot (1:1000-1:4000 dilution) and IHC (1:20-1:200 dilution with optimized antigen retrieval) . Implement laser capture microdissection to isolate specific neuronal populations affected in different diseases. For mechanistic studies, establish neuronal cell models with NIPSNAP3B knockdown or overexpression, then assess effects on critical parameters of neuronal health: mitochondrial function (measuring membrane potential, respiration, ROS production); mitophagy and quality control mechanisms (monitoring mitochondrial turnover using mt-Keima or similar reporters); axonal transport of mitochondria (live-cell imaging with fluorescently labeled mitochondria); and neuronal survival under stress conditions that model disease processes (oxidative stress, protein aggregation). In animal models, implement brain-region-specific manipulation of NIPSNAP3B expression using viral vectors, then perform comprehensive behavioral testing and neuropathological assessment. To establish clinical relevance, conduct genetic association studies exploring whether NIPSNAP3B variants modify disease risk or progression in patient cohorts. For therapeutic exploration, screen for compounds that modulate NIPSNAP3B expression or function, then test their effects in cellular and animal models of neurodegeneration. Throughout these studies, the established connection between NIPSNAP3B and vesicular trafficking should be explored specifically in the context of synaptic function and protein aggregation dynamics characteristic of neurodegenerative conditions.
Emerging technologies offer unprecedented opportunities to elucidate NIPSNAP3B function with greater precision and physiological relevance. Single-cell proteomics approaches can reveal cell-type-specific expression patterns and protein interactions that may be masked in bulk tissue analysis, particularly relevant given NIPSNAP3B's differential expression across tissues . Implementing CRISPR-Cas9-based screening approaches (CRISPRi/CRISPRa) can systematically identify genes that functionally interact with NIPSNAP3B, potentially revealing novel pathway connections. Proximity labeling techniques such as BioID or APEX2 fusion proteins can map the NIPSNAP3B proximal proteome within living cells, providing insights into its microenvironment within mitochondria and during vesicular trafficking events. For structural insights, cryo-electron microscopy could elucidate NIPSNAP3B's conformation and interaction interfaces at near-atomic resolution. Organoid technologies can facilitate the study of NIPSNAP3B in complex, physiologically relevant 3D tissue models, particularly valuable for investigating its role in bone metabolism and neurodegenerative conditions. Live-cell super-resolution microscopy combined with optogenetic approaches would enable visualization and manipulation of NIPSNAP3B dynamics in real-time within subcellular compartments. Finally, multi-omics integration approaches combining proteomics, transcriptomics, and metabolomics data from models with perturbed NIPSNAP3B expression can construct comprehensive regulatory networks, positioning NIPSNAP3B within broader cellular pathways.
Understanding NIPSNAP3B function holds significant potential for therapeutic development across multiple disease domains. For bone metabolism disorders, given NIPSNAP3B's association with bone mineral density in postmenopausal women , characterizing its regulatory mechanisms could reveal novel targets for osteoporosis treatment. Methodologically, this requires identifying compounds or biological agents that modulate NIPSNAP3B expression or function, followed by validation in osteoblast/osteoclast cultures and animal models of bone loss. For neurodegenerative diseases, NIPSNAP3B's putative roles in mitochondrial function and vesicular trafficking position it as a potential target for addressing mitochondrial dysfunction and protein aggregation—core pathological processes in conditions like Alzheimer's and Parkinson's disease. Drug screening approaches should focus on restoring normal NIPSNAP3B function in disease models, with efficacy assessed through improvements in mitochondrial parameters, synaptic function, and neuroprotection. For therapy development, several methodological pipelines should be explored: small molecule screening to identify compounds that stabilize or modulate NIPSNAP3B activity; gene therapy approaches to restore appropriate NIPSNAP3B levels in affected tissues; and targeted protein degradation technologies (PROTACs) to modulate NIPSNAP3B levels with temporal precision. Before clinical translation, comprehensive safety profiling is essential, particularly evaluating off-target effects in tissues with high NIPSNAP3B expression like skeletal muscle .