This polyclonal rabbit antibody is designed to target the NFYC (Nuclear transcription factor Y subunit gamma) protein, a 458 amino acid transcription factor involved in regulating gene expression via CCAAT motifs in promoters . Key attributes include:
Applications: Western blot (WB), ELISA.
Reactivity: Human and other species (not explicitly listed).
Protocols:
Research Context:
NFYC has been implicated in transcriptional regulation of genes like type 1 collagen, albumin, and β-actin . Its interaction with SP1 and FOXO3/FOXO4 transcription factors is critical for STK11 gene regulation .
The Abcam antibody ab3446 targets NFAT5, a transcription factor involved in osmoprotective and inflammatory gene regulation . Key details:
Immunogen: Synthetic peptide within Human NFAT5 (aa 1400-1500).
Applications:
Immunohistochemistry (IHC-P)
Immunocytochemistry (ICC/IF)
Immunoprecipitation (IP)
Western blot (WB)
Reactivity: Human, Mouse, African green monkey.
Validation Data:
Research Context:
NFAT5 mediates transcriptional responses to hypertonic stress and regulates pro-inflammatory pathways in autoimmune diseases like rheumatoid arthritis . It binds DNA sequences such as 5'-[ACT][AG]TGGAAA[CAT]A[TA][ATC][CA][ATG][GT][GAC][CG][CT]-3' .
This antibody targets neurofascin-155 (NF155), a node of Ranvier protein implicated in autoimmune nodopathy (AN) . Key findings:
Clinical Relevance:
Assay Performance:
Research Context:
Anti-NF155 antibodies are diagnostic markers for AN, a subtype of chronic inflammatory demyelinating polyradiculoneuropathy (CIDP) .
A study identified three monoclonal antibodies (2B25, 3G25, 8G1) that block NF-κB activation by ASFV CD2v . Key features:
Epitopes:
Functional Data:
Research Context:
These antibodies hold potential for ASFV diagnostics and vaccine development .
NFYC5 is associated with the Nuclear transcription factor Y subunit gamma (NFYC) family, which plays a crucial role in regulating gene expression by recognizing and binding to CCAAT motifs within promoters. This transcription factor consists of approximately 458 amino acids and participates in the regulation of various genes including type 1 collagen, albumin, and β-actin.
Methodologically, studies examining NFYC5's function typically employ:
Chromatin immunoprecipitation (ChIP) assays to identify DNA binding regions
Reporter gene assays to assess transcriptional activity
Co-immunoprecipitation studies to identify protein-protein interactions, particularly with other transcription factors like SP1 and FOXO3/FOXO4, which are critical for STK11 gene regulation
It's important to note that NFYC5 should not be confused with NFAT5 (Nuclear factor of activated T-cells 5), which is a distinct transcription factor involved in osmoprotective and inflammatory gene regulation .
Antibody validation is essential for ensuring experimental reproducibility. For NFYC5 antibody validation, implement the following methodological approach:
Primary Validation Methods:
Knockout/Knockdown Testing: Compare staining/signal between wildtype samples and those with NFYC5 knocked down or knocked out
Epitope Competition: Pre-incubate antibody with the immunizing peptide to confirm specific binding
Multiple Antibody Verification: Use a second antibody targeting a different epitope to confirm results
Application-Specific Validation:
Western Blot: Confirm single band at expected molecular weight (~458 amino acids should yield approximately 50-55 kDa protein)
Immunohistochemistry: Include positive and negative control tissues
ELISA: Generate standard curves using recombinant protein
Critical Reporting Elements:
Document validation for each specific experimental setup as specificity in one application does not guarantee specificity in another
Include validation data as supplementary information in publications
Record batch number as batch-to-batch variability can affect results
Remember: "If an antibody has not been previously validated for the specific combination of application and species used, then it should be mandatory that validation be carried out and reported" .
Proper experimental controls are critical for reliable NFYC5 antibody research:
Essential Controls for All Applications:
Positive Control: Include samples known to express NFYC5 (based on literature or previous validation)
Negative Control: Include samples lacking NFYC5 expression or use isotype-matched non-specific antibodies
Expression Gradient: When possible, incorporate samples with variable expression levels of NFYC5
Application-Specific Controls:
"Every experiment should include a positive and negative control to assess antibody performance, ideally a set of samples with variable expression levels of the protein of interest" .
When encountering specificity issues with NFYC5 antibody, implement this systematic troubleshooting approach:
Methodological Troubleshooting Framework:
Epitope Analysis
Protocol Optimization
Titrate antibody concentration to find optimal signal-to-noise ratio
Modify blocking conditions (try different blocking agents: BSA, milk, serum)
Adjust incubation times and temperatures
For Western blots: Optimize membrane washing steps and detection methods
Signal Verification Techniques
Perform peptide competition assay
Use multiple antibodies targeting different epitopes of NFYC5
Compare results with NFYC5 mRNA expression data
Consider mass spectrometry to identify proteins bound by the antibody
Cross-Reactivity Investigation
Test the antibody in samples known to lack NFYC5 (knockout models)
Evaluate species cross-reactivity if working with non-human samples
Check for post-translational modifications that might affect epitope recognition
This comprehensive approach addresses both technical and biological aspects of antibody specificity issues.
The nuclear localization of NFYC5 as a transcription factor is crucial for its function, and studying this localization requires specific methodological approaches:
Key Factors Affecting Nuclear Localization:
Nuclear localization signals (NLS) within the protein sequence
Post-translational modifications (phosphorylation, SUMOylation)
Interactions with nuclear transport proteins
Cell cycle stage and cellular stress conditions
Methodological Approaches to Study Nuclear Localization:
Subcellular Fractionation and Western Blotting
Immunofluorescence Microscopy
Live Cell Imaging
Create fluorescent protein fusions with NFYC5
Monitor dynamic localization changes in response to stimuli
Use photobleaching techniques (FRAP) to assess mobility
Mutational Analysis
Generate constructs with mutations in potential NLS sequences
Transfect cells and assess localization changes
Identify critical residues for nuclear import/export
Drawing from research on related transcription factors like NFAT5, consider that "Nuclear NFAT5 proteins were evenly dispersed following virus infection, with only a small amount of speckle-like staining left in the cytoplasm" , suggesting that cellular stress can significantly alter localization patterns.
Distinguishing between potential NFYC5 isoforms requires precise methodological approaches:
Identification Strategies:
Western Blot Optimization
Isoform-Specific Antibodies
Select antibodies targeting unique epitopes in specific isoforms
Validate isoform specificity using recombinant proteins
Consider raising custom antibodies against isoform-specific regions
RT-PCR and qPCR Analysis
Design primers targeting unique exon junctions
Optimize PCR conditions for specificity
Validate with sequencing of amplicons
Quantify relative expression of different isoforms
Mass Spectrometry
Immunoprecipitate NFYC5 from cell lysates
Analyze by LC-MS/MS to identify peptides unique to each isoform
Quantify relative abundance of isoform-specific peptides
Functional Analysis of Isoforms:
Isoform-specific knockdown/knockout studies
Subcellular localization comparison (nuclear vs. cytoplasmic distribution)
DNA binding and transcriptional activity assays
As observed with NFAT5, "different NFAT5 isotypes, including NFAT5a (158 kDa), NFAT5b (11 kDa), NFAT5c (166 kDa), NFAT5d1 (167.7 kDa), and NFAT5d2 (167.8 kDa), generated via alternative splicing" exhibit different subcellular localizations and responses to stimuli. Similar complexity might exist for NFYC5.
Proper reporting of NFYC5 antibody use is essential for experimental reproducibility. Follow these comprehensive guidelines:
Essential Reporting Elements:
| Information Category | Required Details | Example Format |
|---|---|---|
| Antibody Identification | Vendor/source | CUSABIO-WUHAN HUAMEI BIOTECH Co., Ltd |
| Catalog number | CSB-PA861781XA01DOA | |
| Clone number (if monoclonal) | N/A (polyclonal) | |
| Lot/batch number | Lot #12345 | |
| Target Information | Target name | NFYC5 |
| Species raised against | Human | |
| Immunogen | Synthetic peptide corresponding to amino acids 120-150 | |
| Antibody species and isotype | Rabbit polyclonal IgG | |
| Experimental Usage | Application | Western blot |
| Dilution used | 1:1000 | |
| Detection method | HRP-conjugated goat anti-rabbit (1:5000) | |
| Blocking method | 5% non-fat milk in TBST for 1 hour | |
| Validation | Validation method | Knockdown verification |
| Positive/negative controls | Human cell line XYZ (positive) | |
| Expected molecular weight | 52 kDa |
As emphasized in the literature: "The application the antibody was used for is of central importance. This information is normally present, but it can be hard to extract if the antibody information is listed in a 'Materials' section and separated from descriptions of the techniques. Having the antibody data and application data closely linked would avoid potential confusion" .
Batch-to-batch variability is a significant concern in antibody research, especially with polyclonal antibodies . Implement these methodological strategies to minimize its impact:
Proactive Strategies:
Inventory Management
Purchase larger quantities of a single batch for long-term projects
Document batch numbers for all experiments
Create internal reference standards from each batch
Develop a batch transition protocol when changing to a new lot
Batch Comparison Protocol
When receiving a new batch:
Run side-by-side comparisons with the previous batch
Test multiple applications (Western, IHC, etc.)
Quantify signal intensity and background
Document and standardize dilution adjustments needed
Internal Controls System
Maintain frozen aliquots of standard samples
Create standard curves for each new batch
Use consistent positive and negative controls
Implement normalization procedures between batches
Technical Alternatives
Consider using monoclonal antibodies when available (typically less batch variability)
Validate multiple antibodies from different vendors
Explore recombinant antibody technology
Documentation Framework:
| Parameter | Old Batch | New Batch | Adjustment Needed |
|---|---|---|---|
| Optimal dilution | 1:1000 | 1:800 | 20% more antibody |
| Background signal | Low | Moderate | Additional washing |
| Band intensity | Strong | Moderate | Longer exposure |
| Non-specific bands | None | 1 at ~70kDa | More stringent blocking |
"This type of variability is likely to be a particular issue with polyclonal antibodies, but may affect monoclonal antibodies" . Therefore, systematic approaches to manage batch variations are essential for research reproducibility.
Investigating NFYC5's role in transcription complexes requires specialized methodological approaches:
Advanced Interaction Analysis Techniques:
Co-Immunoprecipitation (Co-IP) Optimization
Use NFYC5 antibody as bait to pull down interaction partners
Optimize lysis conditions to preserve nuclear protein complexes
Consider dual IP (sequential IP) to isolate specific complexes
Validate interactions with reverse Co-IP using antibodies against suspected partners
Analysis protocol:
Crosslink protein complexes with formaldehyde (0.1-1%)
Lyse cells in buffer containing protease inhibitors
Immunoprecipitate with NFYC5 antibody
Analyze by Western blot or mass spectrometry
Proximity Ligation Assay (PLA)
Detect protein-protein interactions in situ with subcellular resolution
Requires antibodies from different species for NFYC5 and potential partners
Quantify interaction signals across different cellular conditions
Particularly useful for studying interactions with SP1 and FOXO3/FOXO4 transcription factors
Chromatin Immunoprecipitation (ChIP) Applications
Single ChIP: Identify NFYC5 binding sites on DNA
Sequential ChIP (Re-ChIP): Determine co-occupancy with other factors
ChIP-seq: Genome-wide mapping of binding sites
Functional Interaction Assessment
Luciferase reporter assays with CCAAT motif-containing promoters
Mutational analysis of interaction domains
siRNA-mediated knockdown of interaction partners
Drawing from NFAT5 research, consider that "NFAT5 also participates in oxidative phosphorylation (OXPHOS) because hypoxia-exposed Nfat5-deficient pulmonary artery elevated the levels of OXPHOS-related transcripts" , suggesting that exploring metabolic connections could provide novel insights into NFYC5 function.
Cross-species application of NFYC5 antibodies requires careful methodological consideration:
Cross-Species Validation Framework:
As noted in antibody research: "If a study uses samples from more than one species then it is also important to clearly link which antibodies were used in which species" . This principle is particularly important when working with transcription factors like NFYC5 that may have species-specific variants.
Comparative analysis of NFYC5 and related transcription factors provides valuable research insights:
Methodological Approaches for Comparative Studies:
Parallel Expression Analysis
Co-stain tissues/cells for both NFYC5 and NFAT5
Compare subcellular localization patterns
Analyze co-expression or mutually exclusive expression
Quantify relative expression levels across different tissues
Functional Relationship Investigation
Knockdown one factor and assess effects on the other
Analyze binding site overlap using ChIP-seq data
Identify co-regulated genes through RNA-seq after perturbation
Investigate competitive or cooperative binding to similar DNA motifs
Stress Response Comparison
Structural and Mechanistic Studies
Compare DNA binding domains and specificities
Analyze post-translational modification patterns
Investigate potential heterodimer formation
Study nuclear import/export mechanisms
Research Integration Framework:
*Based on available search results
Understanding NFYC5 in relation to better-characterized factors like NFAT5 can accelerate research by leveraging established methodologies and conceptual frameworks.
Several cutting-edge technologies are poised to transform NFYC5 antibody research:
Emerging Methodological Approaches:
Recombinant Antibody Development
Single B-cell antibody cloning for highly specific monoclonals
Phage display selection against specific NFYC5 epitopes
CRISPR-engineered antibody optimization
Benefits: Reduced batch variation, renewable source, defined epitope targeting
Nanobody and Single-Domain Antibody Technology
Small (15 kDa) antibody fragments derived from camelid antibodies
Enhanced tissue penetration and epitope accessibility
Potential applications:
Super-resolution microscopy of NFYC5 in nuclear complexes
Intracellular expression as "intrabodies" to track native NFYC5
Higher density epitope labeling for advanced imaging
Proximity-Based Protein Interaction Technologies
BioID/TurboID: Biotin ligase fusion for identifying proximal proteins
APEX2: Peroxidase-based proximity labeling
Split-protein complementation assays
Applications for mapping NFYC5 interaction networks in living cells
Advanced Validation Methodologies
CRISPR-Cas9 knockout cell lines as gold-standard controls
Orthogonal validation with proteomic and transcriptomic data
Machine learning algorithms to predict cross-reactivity
Multiplexed epitope mapping using peptide arrays
These methodologies represent significant advancements beyond traditional antibody applications, offering unprecedented specificity, versatility, and functional insights for NFYC5 research.
Computational methodologies are increasingly valuable for advancing NFYC5 antibody research:
Computational Research Strategies:
Epitope Prediction and Antibody Design
In silico analysis of NFYC5 protein structure
Identification of surface-exposed, unique epitopes
Prediction of epitope conservation across species
Computational screening of antibody-antigen binding interfaces
Cross-Reactivity Assessment
Proteome-wide sequence similarity searches
Structural homology modeling with related transcription factors
Prediction of potential off-target binding
Epitope uniqueness scoring algorithm
Image Analysis and Quantification
Machine learning-based signal quantification
Automated subcellular localization analysis
Multi-parameter phenotypic profiling
Correlation of NFYC5 expression with cellular features
Multi-omics Data Integration
Correlation of antibody-based detection with RNA-seq data
Integration with ChIP-seq/CUT&RUN data for functional validation
Network analysis of NFYC5 within transcriptional programs
Systems biology modeling of NFYC5 regulatory networks
These computational approaches complement experimental methods, enhancing the specificity, reproducibility, and biological context of NFYC5 antibody research.
This systematic troubleshooting guide addresses common technical challenges with NFYC5 antibodies:
Western Blot Issues:
Immunohistochemistry/Immunocytochemistry Issues:
ELISA Issues:
| Problem | Possible Causes | Methodological Solutions |
|---|---|---|
| Poor standard curve | Coating inefficiency | Optimize coating buffer and concentration |
| Antibody degradation | Use fresh aliquots, validate antibody activity | |
| Low signal-to-noise | Blocking inefficiency | Optimize blocking agent and concentration |
| Detection system issues | Try more sensitive detection method |