NFYB2 Antibody

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Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
NFYB2 antibody; HAP3A antibody; Os01g0834400 antibody; LOC_Os01g61810 antibody; P0460C04.37 antibody; P0506B12.4 antibody; Nuclear transcription factor Y subunit B-2 antibody; OsNF-YB-2 antibody; Transcriptional activator HAP3A antibody
Target Names
NFYB2
Uniprot No.

Target Background

Function
NFYB2 is a component of the NF-Y/HAP transcription factor complex. This complex plays a crucial role in regulating gene expression by recognizing and binding to the CCAAT motif within gene promoters. NFYB2 may regulate the expression of genes involved in photosynthesis and contribute to chloroplast and amyloplast development.
Database Links

STRING: 39947.LOC_Os01g61810.1

UniGene: Os.22637

Protein Families
NFYB/HAP3 subunit family
Subcellular Location
Nucleus.
Tissue Specificity
Ubiquitous.

Q&A

What is NFYB2 and what is its biological significance?

NFYB2 (Nuclear Factor Y subunit B2) is a component of NF-Y transcription factor complexes that bind to CCAAT box motifs in gene promoters. Research has demonstrated that NFYB2 is involved in regulating gene expression through formation of protein complexes that can physically associate with specific promoter regions. For instance, NF-YB2 has been shown to positively regulate expression of genes like FLOWERING LOCUS T (FT), participating in chromatin loops that form in the promoter region . NF-Y complexes are composed of three subunits (NF-YA, NF-YB, and NF-YC) that work together to recognize and bind CCAAT motifs, influencing transcription of target genes.

How do I select an appropriate NFYB2 antibody for my experimental needs?

When selecting an NFYB2 antibody, consider the following methodological approach:

  • Determine your experimental application (ChIP, Western blot, immunofluorescence)

  • Verify the antibody has been validated for your specific application

  • Check literature for antibodies successfully used in published studies

  • Consider antibodies targeting different epitopes when available

  • Examine validation data provided by manufacturers, including specificity tests

  • For ChIP experiments, specifically look for ChIP-seq grade antibodies that have demonstrated specificity and low background

What validation steps should I perform before using a new NFYB2 antibody?

A methodical validation protocol should include:

  • Western blot analysis to confirm the antibody detects bands at the expected molecular weight (similar to validation approaches for NFkB2 antibodies )

  • Comparison with positive and negative control samples

  • Testing antibody specificity using NFYB2 knockout or knockdown models

  • Peptide competition assays to verify epitope specificity

  • Cross-reactivity tests against related family members (other NF-Y subunits)

  • For ChIP applications, perform ChIP-qPCR at known NFYB2 binding sites containing CCAAT boxes

What are the typical applications for NFYB2 antibodies in molecular biology research?

NFYB2 antibodies can be applied in multiple experimental contexts:

  • Chromatin immunoprecipitation (ChIP) to identify DNA binding sites

  • ChIP-seq for genome-wide binding site identification

  • Western blot for protein expression analysis

  • Immunofluorescence for subcellular localization studies (similar to techniques used for related nuclear factors )

  • Co-immunoprecipitation to identify protein-protein interactions within the NF-Y complex

  • Chromatin loop detection when combined with chromosome conformation capture techniques

What controls are essential when using NFYB2 antibodies?

Essential controls include:

  • Input DNA controls for ChIP experiments to normalize enrichment

  • IgG controls to determine non-specific binding

  • No-antibody controls for background assessment

  • Positive control loci (known NFYB2 binding sites with CCAAT boxes)

  • Negative control regions (genomic regions lacking CCAAT motifs)

  • For tagged NFYB2 experiments, include untagged controls

How can I optimize ChIP protocols specifically for NFYB2 antibodies?

Optimization of NFYB2 ChIP requires methodical adjustment of several parameters:

  • Crosslinking conditions: Standard is 1% formaldehyde for 10-15 minutes, but dual crosslinking with additional agents may improve results for certain chromatin environments

  • Sonication parameters: Aim for chromatin fragments of 200-500bp

  • Antibody concentration: Titrate between 1-5μg per reaction to determine optimal amount

  • Incubation conditions: Test both overnight at 4°C and shorter incubations

  • Washing stringency: Adjust salt concentration in wash buffers to reduce background

  • For tagged NFYB2 approaches, verify tag accessibility in the chromatin context

What approaches can detect interactions between NFYB2 and other NF-Y subunits?

To investigate NFYB2 protein interactions, employ these methodological approaches:

  • Sequential ChIP (re-ChIP) using antibodies against different NF-Y subunits

  • Co-immunoprecipitation followed by western blotting for specific subunits

  • Proximity ligation assays to visualize specific protein interactions in situ

  • Mass spectrometry analysis of immunoprecipitated complexes

  • FRET or BiFC assays for live-cell interaction studies

  • Investigation of both canonical NF-Y complexes and alternative complexes (like CO/NF-YB/NF-YC complexes) that may form at specific promoters

How do I analyze and interpret ChIP-seq data generated using NFYB2 antibodies?

A comprehensive ChIP-seq analysis workflow should include:

Analysis StepToolsKey Considerations
Quality controlFastQC, MultiQCSequence quality, GC bias, adapter contamination
AlignmentBowtie2, BWAReference genome selection, duplicate handling
Peak callingMACS2, HOMERFDR threshold, peak shape parameters
Motif analysisMEME, JASPARFocus on CCAAT box enrichment, spacing patterns
Genomic distributionChIPseeker, HOMERProximity to TSS, intragenic vs. intergenic
IntegrationdeepTools, bedtoolsCorrelation with gene expression, other factors

Focus analysis on CCAAT box-containing regions and examine potential chromatin loops formed between distal and proximal elements .

How can I distinguish between different NF-Y complex configurations using antibody-based approaches?

To differentiate between canonical NF-Y complexes and other configurations:

  • Use antibodies against specific NF-Y subunits in sequential ChIP experiments

  • Perform size exclusion chromatography followed by western blotting to separate complexes of different sizes

  • Compare binding patterns of different subunits in ChIP-seq experiments

  • Use differentially tagged subunits for co-localization studies

  • Analyze differential binding under conditions that favor formation of specific complex types

  • Consider that both canonical NF-Y complexes and alternative complexes (such as CO/NF-YB/NF-YC) may coexist at specific promoters

What methodologies can detect chromatin loops involving NFYB2 binding sites?

Chromatin loop detection requires specialized approaches:

  • Chromosome Conformation Capture (3C) targeting specific interactions

  • Circular Chromosome Conformation Capture (4C) for one-to-all interactions

  • Hi-C for genome-wide interaction mapping

  • ChIP-loop assays combining ChIP with 3C methods

  • Integration of NFYB2 ChIP-seq with Hi-C data

  • Focus on regions with distal CCAAT boxes that may loop to form regulatory complexes with proximal elements

How do I troubleshoot weak or non-specific signals in NFYB2 ChIP experiments?

When facing technical challenges, implement this systematic troubleshooting approach:

ProblemPossible CausesSolutions
Weak signalInsufficient antibodyIncrease antibody amount (titrate 1-5μg)
Epitope maskingTry antibodies targeting different epitopes
Poor crosslinkingOptimize formaldehyde concentration and time
Over-sonicationReduce sonication to prevent epitope destruction
High backgroundNon-specific bindingInclude more stringent washing steps
Antibody cross-reactivityUse highly specific antibodies or tagged approaches
Insufficient blockingOptimize blocking conditions
No enrichmentWrong positive controlVerify CCAAT box presence in target regions
Antibody batch variationTest new antibody lot or alternate antibody

How can I interpret contradictory results between different NFYB2 antibodies?

To resolve contradictory data:

  • Compare epitopes recognized by different antibodies

  • Evaluate antibody specificity through knockout/knockdown validation

  • Test performance in multiple experimental systems

  • Consider post-translational modifications that might affect epitope recognition

  • Validate key findings with orthogonal methods (e.g., tagged NFYB2 approaches )

  • Examine potential complex-specific binding patterns (as some antibodies may preferentially recognize specific NF-Y complex configurations)

What are the relative advantages of using tagged NFYB2 versus antibodies against endogenous protein?

Consider these comparative advantages:

ApproachAdvantagesLimitations
Tagged NFYB2High specificityPotential tag interference with function
Consistent performanceOverexpression artifacts
Works when specific antibodies unavailableMay not reflect endogenous regulation
Allows live-cell imagingRequires genetic manipulation
Endogenous antibodiesDetects native proteinPotential cross-reactivity
Captures physiological expressionLot-to-lot variation
No genetic manipulation neededLimited availability of validated antibodies
Reflects natural PTM patternsSome epitopes may be masked in complexes

Research has successfully employed YFP and HA epitope-tagged NF-YB2 for ChIP experiments .

How do NFYB2 binding profiles compare with other NF-Y subunits?

When analyzing comparative binding:

  • Perform parallel ChIP-seq experiments with antibodies against different NF-Y subunits

  • Compare binding strength at canonical CCAAT boxes versus variant motifs

  • Analyze co-occupancy patterns at different genomic regions

  • Consider potential independent functions of individual subunits

  • Examine subunit stoichiometry at different binding sites

  • Integrate data on post-translational modifications that might affect subunit-specific binding

How can I integrate NFYB2 ChIP-seq data with other genomic datasets?

For comprehensive multi-omics integration:

  • Correlate NFYB2 binding with gene expression (RNA-seq) to identify direct targets

  • Overlay with histone modification ChIP-seq to characterize chromatin states at binding sites

  • Integrate with chromatin accessibility data (ATAC-seq, DNase-seq)

  • Incorporate chromatin conformation data to identify long-range interactions

  • Analyze co-binding with other transcription factors and cofactors

  • Examine binding site conservation across species through comparative genomics

What experimental approaches can determine the functional impact of NFYB2 binding?

To assess functional significance:

  • CRISPR-based mutation of specific CCAAT boxes

  • Inducible depletion or degradation of NFYB2

  • Reporter assays with wild-type and mutated NFYB2 binding sites

  • Analysis of gene expression changes following NFYB2 perturbation

  • Examination of chromatin state changes at NFYB2 binding sites after manipulation

  • Investigation of effects on chromatin looping and promoter-enhancer interactions

How do post-translational modifications affect NFYB2 function and antibody recognition?

For PTM investigation:

  • Use phospho-specific or other PTM-specific antibodies if available

  • Perform mass spectrometry analysis to identify modification sites

  • Compare binding patterns before and after treatment with PTM-modulating agents

  • Create point mutations at key modification sites to assess functional impact

  • Consider how PTMs might affect complex formation and CCAAT box recognition

  • Evaluate how modifications might influence epitope accessibility for different antibodies

What approaches can investigate the role of NFYB2 in disease mechanisms?

Disease-focused methodologies include:

  • Compare NFYB2 binding profiles between normal and disease tissues

  • Analyze disease-associated SNPs within NFYB2 binding sites

  • Investigate NFYB2 binding at disease-associated genes

  • Perform NFYB2 perturbation in disease models to assess phenotypic effects

  • Analyze NFYB2 complex composition in disease contexts

  • Evaluate potential therapeutic approaches targeting NFYB2-dependent gene regulation

How does NFYB2 heterozygosity or deficiency affect cellular functions?

While specific data on NFYB2 is limited in the search results, research on related NF-kB factors shows that modulation of expression levels can have significant functional consequences. For instance, NFκB2 heterozygosity enhances antibody production while complete deficiency reduces it . Similar dose-dependent effects might be anticipated with NFYB2, where partial reduction might have different outcomes than complete loss, potentially affecting:

  • Target gene expression profiles

  • Chromatin loop formation at regulated promoters

  • Interaction with partner proteins

  • Cellular responses to specific stimuli

  • Development and differentiation processes

What cutting-edge approaches are advancing NFYB2 research?

Emerging methodologies include:

  • CUT&RUN or CUT&Tag as alternatives to traditional ChIP

  • Single-cell approaches to examine cell-to-cell variation in NFYB2 binding

  • CRISPR screens targeting NFYB2 binding sites to assess functional importance

  • Live-cell imaging of NFYB2 dynamics using new fluorescent protein fusions

  • Cryo-EM structures of NF-Y complexes bound to different DNA elements

  • Synthetic biology approaches to engineer novel NFYB2 functions

How can single-cell approaches advance our understanding of NFYB2 function?

Single-cell methodologies offer new insights:

  • scRNA-seq combined with NFYB2 perturbation to identify cell type-specific targets

  • scATAC-seq to examine chromatin accessibility at NFYB2 binding sites

  • Single-cell CUT&Tag for NFYB2 to examine binding heterogeneity

  • Live-cell imaging of tagged NFYB2 to track dynamic binding events

  • Multi-omics approaches combining binding, accessibility, and expression at single-cell resolution

  • Computational modeling of cell-to-cell variation in NFYB2-mediated regulation

What computational tools can best predict functional NFYB2 binding sites?

Advanced computational approaches include:

  • Machine learning algorithms trained on validated NFYB2 binding data

  • Models incorporating DNA shape features beyond sequence motifs

  • Integrative approaches combining sequence, chromatin state, and 3D genome organization

  • Evolutionary conservation analysis focused on CCAAT boxes

  • Network-based approaches integrating NFYB2 with other transcription factors

  • Deep learning models trained on multiple genomic datasets

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