The NUP116 antibody specifically binds to epitopes within the NUP116 protein, a GLFG-repeat nucleoporin. Key domains include:
N-terminal GLFG repeats: Mediate interactions with transport factors .
C-terminal NPC-targeting domain: Contains a nucleoporin RNA-binding motif (NRM) .
Antibodies such as anti-GLFG polyclonal antibody and anti-Nup116-C (WU600) have been used to study NUP116’s role in NPC dynamics .
NUP116 antibodies are pivotal for:
KEGG: sce:YMR047C
STRING: 4932.YMR047C
NUP116 (Nucleoporin 116) is a critical component of the nuclear pore complex (NPC) that serves as a docking site for both nuclear import and export factors. It contains at least three functional domains: the GLFG repeat region that interacts with transport factors, the N-terminal domain with FG repeats that serves as a docking site for the mRNA export factor Gle2p, and the C-terminal region that mediates interactions with other nucleoporins .
NUP116 is particularly important because deletion mutants (nup116Δ) display temperature-sensitive growth defects, mRNA export problems, and perturbations of NPC-nuclear envelope structure, highlighting its essential role in maintaining proper nuclear-cytoplasmic communication .
Research antibodies typically target specific regions of NUP116:
The choice of epitope depends on the specific research question, as different domains have distinct functions in nuclear transport and NPC assembly.
For optimal NUP116 detection in yeast cells, follow these methodological steps:
Cell preparation: For immunoprecipitations, prepare extracts by resuspending cells in lysis buffer with protease inhibitors, then disrupt using glass beads (four 1-min pulses with 2-min rests) .
Fixation for microscopy: Fix cells appropriately before incubating with primary antibodies (e.g., anti-Nup116-C at 1:2,500 dilution for 1 hour at room temperature) .
Detection methods:
For Western blotting: Transfer to nitrocellulose membranes and probe with anti-Nup116-C (1:2,500) for 1 hour at 23°C .
For immunofluorescence: Detect with FITC or Texas red-conjugated secondary antibodies (1:200) and counterstain with DAPI .
For immunoprecipitation: Use 4-8 μl of antibody per 100 μl extract with protein A-Sepharose beads .
To ensure NUP116 antibody specificity, implement these validation approaches:
Genetic validation: Compare signals between wild-type and nup116Δ strains. The signal should be significantly reduced or absent in deletion strains .
Epitope competition: Pre-incubate antibody with purified antigen (recombinant NUP116-C) to confirm specific binding.
Western blot analysis: Verify a single band of the expected molecular weight (116 kDa) that disappears in nup116Δ extracts.
Preimmune controls: Compare staining with preimmune serum to assess non-specific binding; proper NUP116 antibodies should show significantly higher signal-to-noise ratio .
Cross-reactivity assessment: Test against related nucleoporins (Nup100, Nup145) that share sequence homology to confirm specificity.
Include these critical controls in NUP116 localization experiments:
Genetic controls:
Technical controls:
Functional controls:
Colocalization controls:
Optimal dilutions vary by application and specific antibody preparation:
Always perform titration experiments to determine optimal concentrations for your specific experimental conditions, as antibody affinity and sample preparation can significantly affect results.
NUP116 antibodies provide valuable tools for studying NPC assembly:
Subcomplex identification: Immunoprecipitation with NUP116 antibodies has identified the Nup116p-Nup82p subcomplex, revealing important assembly interactions .
Assembly defect characterization:
Temperature-shift experiments: NUP116 antibodies can track changes after temperature shifts in conditional mutants, revealing that Nup82p is required for proper NUP116 localization at NPCs .
Domain function analysis: Using domain-specific antibodies reveals that the GLFG domain is critical for NPC assembly, especially when other assembly factors are compromised .
Ultrastructural analysis: Immunoelectron microscopy with NUP116 antibodies shows its asymmetric distribution at NPCs, with the majority localizing to the cytoplasmic face .
When faced with contradictory localization data, implement these resolution strategies:
Multiple detection methods: Compare results from immunofluorescence, immunoelectron microscopy, and live-cell imaging, as each has distinct strengths for localization studies.
Epitope accessibility analysis: Use antibodies targeting different NUP116 domains, as some epitopes may be masked in certain conditions .
Genetic background standardization: Compare results between different strain backgrounds (e.g., S288C versus W303), which can show different phenotypes .
Environmental condition variation: Test multiple temperatures, as NUP116 localization shows temperature-dependent changes, especially in mutant backgrounds .
Multi-tag approach: Compare antibody-based detection with GFP-tagging at different positions. Research shows the nup85-GFP' construct revealed more severe phenotypes than GFP-nic96 in nup116ΔGLFG cells .
Quantitative assessment: Develop metrics for comparing localization patterns across experiments to objectively evaluate differences.
Recent research has uncovered unexpected relationships between NUP116, NPC assembly, and nuclear envelope-vacuole contacts:
Correlation of defects: NUP116 antibody staining reveals that nup116ΔGLFG mutants exhibit increased nuclear envelope-vacuole contacts that correlate with NPC assembly defects .
Temperature dependence: Using NUP116 antibodies in temperature shift experiments shows that NE-vacuole contacts increase in a temperature-dependent manner in nup116ΔGLFG cells, with some nuclei becoming nearly completely surrounded by vacuoles at 36°C .
Functional significance: Combining NUP116 antibody staining with genetic studies of NVJ components (Nvj1, Mdm1) demonstrates that NVJs promote proper NPC assembly in nup116ΔGLFG cells. Deletion of NVJ1 and MDM1 in nup116ΔGLFG cells increases GFP-Nic96 foci from ~10% to 31% at 30°C .
Compensatory mechanisms: NUP116 antibodies help reveal that NE-vacuole contacts and lipid droplet formation may serve as adaptive responses to mitigate NPC assembly defects .
Structural analysis: TEM analysis of nup116ΔGLFG mutants confirms direct contacts between the NE and vacuole membranes, with frequent NE herniations similar to those observed in nup116Δ mutants .
Differentiating between simple NUP116 aggregation and true NPC assembly defects requires systematic analysis:
Co-marker analysis: True assembly defects should show co-clustering of multiple nucleoporins. Use NUP116 antibodies alongside other NPC markers (e.g., GFP-Nic96, Nup85-GFP) .
Ultrastructural validation: Electron microscopy can reveal characteristic NPC/NE structural abnormalities. nup116ΔGLFG mutants show NE herniations similar to those in nup116Δ mutants .
Protein synthesis dependence: Treatment with cycloheximide prevents new protein synthesis. Research shows that cycloheximide prevents foci formation in nup116ΔGLFG mutants shifted to 36°C, indicating that the observed defects result from disrupted de novo NPC assembly rather than stability issues .
Quantitative assessment: Measure the percentage of cells showing different patterns under various conditions. In nup116ΔGLFG mutants, approximately 50% of cells exhibit NPC clustering at 36°C, while NVJ-deficient nup116ΔGLFG mutants show increased rates of clustering (31% at 30°C) .
Functional correlations: True assembly defects typically correlate with nuclear transport defects, NE morphology changes, and growth phenotypes.
Several factors can contribute to antibody variability:
Antibody production variation: Different animal bleeds or purification methods can affect specificity and sensitivity.
Epitope accessibility changes: Fixation methods, incubation times, and buffer compositions can alter epitope exposure.
Sample preparation inconsistencies: Cell lysis efficiency, protein denaturation levels, and transfer efficiency in Western blotting can all affect antibody binding.
Antibody degradation: Improper storage, freeze-thaw cycles, or bacterial contamination can compromise antibody quality.
Genetic background effects: Different yeast strain backgrounds can show variation in NUP116 phenotypes and antibody reactivity.
Recommended solutions:
Validate each new antibody batch against positive and negative controls
Maintain detailed records of antibody lot numbers and performance
Consider purchasing larger quantities of validated batches
Use monoclonal antibodies when available for greater consistency
Atypical NUP116 localization patterns may result from:
NPC assembly defects: nup116ΔGLFG cells show temperature-dependent clustering of NPCs visualized as punctate foci rather than the normal nuclear rim pattern .
Fixation artifacts: Over-fixation can cause artificial aggregation while under-fixation may lead to epitope loss.
Temperature effects: NUP116 localization is highly temperature-sensitive, especially in mutant backgrounds. nup116ΔGLFG cells show increased foci formation at elevated temperatures (36°C) .
NE-vacuole interactions: Expanded NE-vacuole contacts in nup116ΔGLFG mutants can alter the apparent NPC distribution pattern .
Cell cycle variation: NPC assembly and composition changes throughout the cell cycle, potentially affecting staining patterns.
Strain background differences: S288C and W303 backgrounds may show different phenotypic manifestations of NUP116 mutations .
Tag interference: GFP tagging can sometimes affect protein functionality and localization. The nup85-GFP' construct showed more severe phenotypes than GFP-nic96 in nup116ΔGLFG backgrounds .
For rigorous quantitative analysis of NUP116 staining:
Standardized imaging parameters:
Use consistent exposure settings across samples
Acquire images below pixel saturation
Include calibration standards in each imaging session
Quantification approaches:
Multi-parameter analysis:
Statistical considerations:
Analyze multiple cells (>100) across multiple experiments
Apply appropriate statistical tests based on data distribution
Report variability measures (standard deviation, standard error)
When localization data conflicts with functional outcomes:
Temporal analysis: Time-course experiments may reveal that localization changes precede or follow functional defects.
Domain-specific investigation: Different NUP116 domains contribute to different functions:
Conditional mutations: Compare temperature-sensitive alleles that differentially affect structure versus function.
Combined methodologies: Integrate data from multiple approaches:
Genetic: Analyze growth phenotypes of various mutants
Biochemical: Assess protein-protein interactions via co-immunoprecipitation
Microscopy: Examine localization patterns and NPC distribution
Functional: Measure nuclear transport rates for different cargoes
Background dependence: Test whether contradictions resolve in different genetic backgrounds or growth conditions .