The At4g12100 Antibody is a research-grade antibody designed to detect the protein encoded by the AT4G12100 gene in Arabidopsis thaliana. This gene belongs to the Cullin family, which are structural components of E3 ubiquitin ligase complexes critical for protein degradation in plants . The antibody is primarily used in molecular biology applications such as Western blotting, immunoprecipitation, and immunolocalization to study protein turnover, stress responses, and developmental regulation in model plant systems.
AT4G12100 encodes a Cullin protein (Uniprot: Q9SZ75), a key scaffold in the SCF (Skp1-Cullin-F-box) complex, which facilitates the ubiquitination and degradation of target proteins via the 26S proteasome . Cullins like AT4G12100 are essential for regulating:
Protein stability: Controlling turnover of transcription factors, kinases, and signaling molecules.
Plant development: Modulating hormone signaling (e.g., auxin, jasmonate) and stress responses .
Post-translational modifications: Interacting with RUB1 (related to ubiquitin 1), a modification critical for Cullin activation .
| Attribute | Value |
|---|---|
| Product Code | CSB-PA871215XA01DOA |
| Uniprot Accession | Q9SZ75 |
| Host Organism | Arabidopsis thaliana |
| Format | Polyclonal or Monoclonal (unspecified) |
| Size | 2 ml / 0.1 ml |
| Applications | Western Blot, Immunoprecipitation |
Source: Cusabio product catalog .
The antibody’s specificity is confirmed by Western blot analysis, targeting the unconjugated (active) and RUB1-conjugated (inactive) isoforms of Cullin proteins . Its utility in detecting native and post-translationally modified forms aligns with studies on Cullin dynamics in plant cells .
Cullin proteins like AT4G12100 are central to the ubiquitin-proteasome system, enabling precise control of protein lifespan. For example:
Stress responses: Cullins regulate the degradation of transcription factors (e.g., NPR1) during salicylic acid (SA)-mediated defense pathways .
Developmental regulation: Cullin-mediated degradation of FLC (Flowering Locus C) protein modulates flowering time in Arabidopsis .
The At4g12100 Antibody has been used to:
Localize Cullin proteins in subcellular compartments (e.g., nucleus vs. cytoplasm) .
Study SCF complex assembly and interactions with F-box proteins .
Note: ATCUL1 studies highlight methods applicable to AT4G12100 Antibody .
Western blot: Detects a ~80–90 kDa band corresponding to Cullin proteins, with additional higher molecular weight smears indicating ubiquitinated or modified forms .
Immunoprecipitation: Used to isolate SCF complexes for mass spectrometry analysis of interacting partners .
Cross-reactivity: Potential interference with other Cullin family members (e.g., ATCUL1, ATCUL4) .
Post-translational modifications: RUB1 conjugation may alter epitope accessibility, requiring denaturing conditions for detection .
The At4g12100 Antibody remains underutilized in published studies. Key areas for exploration include:
At4g12100 is a gene in Arabidopsis thaliana that encodes a protein associated with histone deacetylation processes. This gene is part of the broader epigenetic regulatory network in plants and is of particular interest due to its potential role in chromatin remodeling. Understanding its function provides insights into plant development, stress responses, and gene regulation mechanisms. Research related to histone deacetylases like those potentially encoded by At4g12100 has revealed their important roles in gene expression regulation by modifying chromatin structure through the removal of acetyl groups from histone proteins .
When validating At4g12100 antibody specificity, researchers should employ multiple complementary approaches. Western blotting using wild-type and knockout/mutant plant tissues provides foundational validation. For definitive confirmation, consider using epitope-tagged transgenic lines expressing the At4g12100 protein with FLAG or HA tags, similar to the approach used for HDA9 studies . Immunoprecipitation followed by mass spectrometry (IP-MS) can further verify antibody specificity by confirming the identity of proteins pulled down. Additionally, performing ChIP-seq in both wild-type and knockout backgrounds allows assessment of binding specificity in the native chromatin context . Cross-reactivity testing against related proteins should be conducted, especially given the sequence similarities among histone deacetylase family members in Arabidopsis.
For optimal detection of At4g12100 protein, harvest plant tissues at appropriate developmental stages when the protein is expressed at detectable levels. Flash-freeze tissues immediately in liquid nitrogen and store at -80°C to preserve protein integrity. During extraction, use a buffer containing protease inhibitors to prevent degradation, with composition similar to those used in histone protein studies. Consider adding deacetylase inhibitors if studying acetylation-related functions. Gentle homogenization methods help maintain protein structure while releasing cellular contents. For immunolocalization studies, fixation with paraformaldehyde (typically 4%) preserves protein epitopes while maintaining tissue architecture. Different extraction protocols may be needed depending on whether the protein is nuclear, cytoplasmic, or membrane-associated, as cellular compartmentalization affects extraction efficiency .
For optimal ChIP-seq results with At4g12100 antibodies, first validate antibody specificity using western blotting and immunoprecipitation assays. Crosslink plant tissue with 1% formaldehyde for 10-15 minutes, balancing between sufficient crosslinking and preventing over-fixation. Sonicate chromatin to fragments of 200-500 bp and confirm fragmentation by agarose gel electrophoresis. Use 2-5 μg of antibody per immunoprecipitation reaction and include appropriate controls (IgG negative control and positive control targeting a well-characterized histone mark). For library preparation, follow protocols similar to those used in histone modification studies, such as the Ovation Ultralow DR Multiplex System . Sequence libraries on high-throughput platforms with sufficient depth (20-30 million reads per sample) to ensure comprehensive coverage. For data analysis, align reads to the Arabidopsis reference genome (TAIR10) using tools like Bowtie2, followed by peak calling with MACS (p≤1e-03) to identify binding sites . Validate key findings with ChIP-qPCR on selected genomic regions.
To optimize western blot detection of At4g12100 protein, start with sample preparation using denaturing conditions with SDS-PAGE buffer supplemented with DTT or β-mercaptoethanol to ensure complete protein denaturation. For nuclear proteins like potential histone deacetylases, specialized nuclear extraction protocols may improve yield. Use 10-12% polyacrylamide gels for optimal resolution of the expected protein size and transfer to PVDF membranes for better protein retention. Block membranes with 5% non-fat dry milk or BSA in TBST for 1-2 hours at room temperature. For primary antibody incubation, test different dilutions (1:500 to 1:5000) and incubation conditions (overnight at 4°C is typically effective). Use HRP-conjugated secondary antibodies at 1:5000 to 1:10000 dilutions . During detection, ECL Plus Western Blotting Detection System has proven effective for similar proteins . Include positive controls (tagged recombinant protein) and negative controls (knockout mutant tissue) to validate specificity. If signal strength is insufficient, consider signal amplification methods or more sensitive detection reagents.
When performing immunoprecipitation (IP) with At4g12100 antibodies, several essential controls must be included for result validation. First, include a negative control using non-specific IgG antibodies from the same species as your At4g12100 antibody to identify non-specific binding. Second, use tissue from At4g12100 knockout or knockdown plants as a biological negative control to verify antibody specificity. Third, include input samples (pre-IP material) to determine IP efficiency and enable quantitative analysis. Fourth, for co-IP experiments investigating protein interactions, validate findings through reciprocal co-IP where the interacting partner is pulled down and At4g12100 is detected, similar to the HDA9-PWR interaction validation approach . If possible, include a positive control using transgenic plants expressing epitope-tagged At4g12100 (such as FLAG or HA tags) and corresponding tag antibodies . Finally, when analyzing novel interactions, confirm through orthogonal methods such as yeast two-hybrid assays or in vitro binding experiments.
When interpreting ChIP-seq data for At4g12100 binding patterns, researchers should first assess the genomic distribution of binding peaks, noting whether they are predominantly in promoter regions, gene bodies, or intergenic regions. Similar histone deacetylases like HDA9 show enrichment in promoter regions (approximately 69% of binding sites) . Correlate binding patterns with gene expression data by dividing genes into expression quintiles and analyzing the relationship between binding and expression levels. Counterintuitively, some histone deacetylases like HDA9 are preferentially enriched at promoters of active genes rather than silent genes . Examine the relationship between binding sites and chromatin accessibility markers like DNase I hypersensitive sites, which can reveal associations with specific chromatin states . Perform Gene Ontology analysis to identify enriched biological processes among At4g12100-bound genes, providing insights into functional roles. For mechanistic understanding, integrate binding data with histone modification profiles (particularly acetylation marks) to determine the relationship between At4g12100 binding and specific chromatin modifications . When comparing binding between conditions (e.g., wild-type vs. mutant), use statistical frameworks like differential binding analysis to identify significant changes.
When facing contradictions between antibody-based experiments and genetic studies of At4g12100, employ multiple validation strategies to resolve discrepancies. First, verify antibody specificity using western blotting in wild-type, knockout, and overexpression lines to rule out non-specific binding or cross-reactivity. Second, generate multiple independent antibodies targeting different epitopes of At4g12100 to confirm findings across different reagents. Third, create epitope-tagged transgenic complementation lines where At4g12100 is expressed under its native promoter in an At4g12100 mutant background, similar to the HDA9-FLAG approach that successfully rescued phenotypes in hda9 mutants . Fourth, employ alternative technologies like RNA-seq and proteomics to characterize phenotypes at multiple levels . Fifth, consider dose-dependent effects by analyzing hypomorphic alleles or RNAi lines with varied expression levels. Finally, when contradictions persist, examine redundancy with related genes or context-dependent functions (tissue-specific, developmental stage-specific, or stress-responsive) that might explain variable results across experimental systems.
Differentiating between direct and indirect effects in At4g12100 antibody-based studies requires a multi-faceted experimental approach. First, perform time-course experiments monitoring changes following inducible expression or repression of At4g12100 to establish temporal relationships between events. Early events are more likely direct consequences. Second, use ChIP-seq with At4g12100 antibodies to identify direct binding targets and correlate binding with observed functional changes . Third, employ rapid protein degradation systems (such as auxin-inducible degrons) that allow acute protein depletion without transcriptional changes, helping distinguish immediate protein functions from secondary effects. Fourth, utilize in vitro biochemical assays with purified recombinant At4g12100 protein to confirm direct enzymatic or binding activities. Fifth, implement epistasis analysis by examining double mutants of At4g12100 with its potential downstream effectors to establish pathway hierarchies. Sixth, analyze rapid transcriptional responses immediately following At4g12100 perturbation using techniques like PRO-seq or GRO-seq that capture nascent transcription, helping to identify primary transcriptional targets versus secondary responses.
At4g12100 antibodies can be powerful tools for investigating developmental stage-specific protein complexes through a systematic approach. Perform co-immunoprecipitation (co-IP) followed by mass spectrometry across different developmental stages to identify stage-specific interacting partners, similar to approaches used to identify the HDA9-PWR interaction . Use size-exclusion chromatography coupled with western blotting to determine whether At4g12100 exists in different complex sizes throughout development. Apply proximity ligation assays (PLA) in plant tissues to visualize and quantify interactions with candidate partners in situ, providing spatial information about complex formation. For temporal dynamics, implement time-resolved immunoprecipitation during synchronized developmental transitions. Cross-validate identified interactions using reciprocal co-IPs and BiFC (Bimolecular Fluorescence Complementation) in planta . For functional validation, compare the phenotypes of At4g12100 mutants with mutants of identified partners and analyze double mutants to assess genetic interactions. Additionally, use ChIP-re-ChIP (sequential ChIP) to identify genomic regions where At4g12100 and interacting transcription factors co-localize, revealing functional complexes at target genes.
Improving antibody specificity for distinguishing between closely related histone deacetylase family members like At4g12100 requires targeted approaches. First, design peptide antigens from unique, non-conserved regions of At4g12100 by performing detailed sequence alignments with all related family members to identify divergent epitopes. Second, implement negative selection during antibody production by pre-absorbing antisera with recombinant proteins of the most closely related family members to deplete cross-reactive antibodies. Third, validate specificity using tissues from knockout mutants of At4g12100 and related proteins, confirming signal absence only in the At4g12100 mutant . Fourth, express multiple related family members as tagged recombinant proteins and test antibody cross-reactivity by western blotting. Fifth, use epitope mapping to identify the exact binding sites of the antibody and confirm they target unique regions. Sixth, perform competitive binding assays with peptides from related proteins to quantify relative affinities. For applications requiring absolute specificity, develop monoclonal antibodies through hybridoma technology with rigorous screening against all family members. Finally, complement antibody approaches with mass spectrometry validation to confirm protein identity in immunoprecipitated samples .
Adapting At4g12100 antibodies for single-cell studies requires specialized techniques to overcome sensitivity limitations. For immunofluorescence microscopy in plant tissues, use tyramide signal amplification (TSA) to enhance detection sensitivity while maintaining resolution for subcellular localization. Implement clearing techniques like ClearSee to improve tissue transparency and antibody penetration in whole-mount preparations. For quantitative single-cell protein analysis, adapt proximity extension assays (PEA) using At4g12100 antibody pairs conjugated to complementary oligonucleotides, enabling PCR-based signal amplification. Cell-type-specific interactome studies can be performed using FACS-sorted protoplasts from plants expressing cell-type-specific fluorescent markers, followed by immunoprecipitation with At4g12100 antibodies. For single-cell epigenomic studies, combine At4g12100 ChIP with cell-type-specific nuclei isolation using techniques like INTACT (Isolation of Nuclei TAgged in specific Cell Types) to reveal cell-type-specific binding patterns . To study dynamic processes, implement microfluidic approaches similar to those used with nanovials for capturing individual cell secretions , adapting them to isolate individual plant cells for At4g12100 analysis. When working with limited material, utilize microfluidic immunoassays or single-cell western blotting technologies that have been optimized for minimal sample input.
Common pitfalls in At4g12100 ChIP experiments include insufficient antibody specificity, inadequate chromatin fragmentation, poor enrichment, and challenges in data interpretation. To address antibody specificity concerns, thoroughly validate antibodies using western blotting and IP-MS before ChIP experiments . For chromatin fragmentation issues, optimize sonication conditions for your specific tissue type by monitoring fragment size distribution on agarose gels. If enrichment is poor, titrate antibody concentrations (typically 2-5 μg per reaction) and increase chromatin amount while ensuring the antibody remains in excess. When ChIP yields are low, improve crosslinking by testing different formaldehyde concentrations (1-3%) and incubation times (10-20 minutes). For plant tissues with high polyphenol content, supplement extraction buffers with PVPP (polyvinylpolypyrrolidone) to prevent interference with antibody binding. If non-specific binding persists, increase stringency in wash buffers by adjusting salt concentrations. When working with tissues where At4g12100 expression is low, consider using carrier ChIP approaches with exogenous DNA to improve recovery. For data analysis challenges, include appropriate controls such as input normalization and IgG control samples, and consider using spike-in normalization with exogenous chromatin (e.g., Drosophila) for quantitative comparisons between conditions .
When facing weak or inconsistent signals in At4g12100 immunoprecipitation experiments, systematically address each potential cause. First, verify protein expression levels by performing western blot analysis on input samples, as low abundance proteins naturally yield weaker signals. Second, optimize cell lysis and extraction conditions to ensure complete release of At4g12100 from cellular compartments, especially if it's associated with nuclear structures . Third, evaluate antibody affinity and specificity using purified recombinant protein if available. Fourth, adjust antibody amounts (try 2-5 μg per reaction) and incubation conditions (overnight at 4°C often improves binding). Fifth, reduce stringency of wash buffers by decreasing salt concentrations or detergent levels if signal is too weak, or increase stringency if background is too high. Sixth, consider using crosslinking reagents like DSP (dithiobis(succinimidyl propionate)) to stabilize transient protein interactions. Seventh, change immunoprecipitation matrix from Protein A/G beads to directly conjugated antibodies for more efficient capture. Eighth, use more sensitive detection methods like ECL Plus for western blotting . For co-IP experiments, stabilize protein complexes by adding protease and phosphatase inhibitors to all buffers. Finally, if performing mass spectrometry analysis, increase starting material and consider using FAIMS (high-field asymmetric waveform ion mobility spectrometry) to improve detection of low-abundance peptides .
High background in At4g12100 immunolocalization studies can be addressed through several optimization strategies. First, increase blocking stringency by extending blocking time (2-3 hours) and using different blocking agents (5% BSA, 5% normal serum, or commercial blocking reagents) to find the optimal formulation. Second, perform antigen retrieval optimization, testing different methods (heat-induced, enzymatic, or pH-based) to improve specific epitope accessibility while reducing non-specific binding. Third, dilute primary antibodies further (test series from 1:100 to 1:2000) and extend washing steps (5-6 washes of 10 minutes each) to remove unbound antibodies. Fourth, pre-absorb antibodies with plant tissue from At4g12100 knockout mutants to remove cross-reactive antibodies that contribute to background. Fifth, reduce secondary antibody concentration and consider using highly cross-adsorbed secondary antibodies specifically designed to minimize cross-reactivity. Sixth, include detergents like Tween-20 (0.05-0.1%) in all washing and antibody incubation steps to reduce non-specific hydrophobic interactions. Seventh, apply tissue-specific fixation optimization, as over-fixation can create artifacts while under-fixation may compromise tissue integrity. Eighth, implement fluorescence imaging controls including autofluorescence quenching steps (sodium borohydride treatment) and subtraction of autofluorescence signals using unstained control sections. For particularly challenging tissues, consider using confocal microscopy with spectral unmixing to separate specific signals from autofluorescence.
Combining CRISPR-based techniques with At4g12100 antibodies creates powerful approaches for functional studies. Generate knock-in lines where endogenous At4g12100 is tagged with epitopes like FLAG or HA using CRISPR-mediated homology-directed repair, enabling specific antibody detection while maintaining native expression patterns and regulation . Implement CRISPR activation (CRISPRa) or interference (CRISPRi) systems to modulate At4g12100 expression, then use antibodies to quantify protein level changes and downstream effects on target genes and histone modifications. Create domain-specific mutations or deletions using CRISPR base editors or prime editors, then use antibodies to study how these precise modifications affect protein interactions and chromatin binding. Deploy CRISPR screens targeting genes potentially regulated by At4g12100, using the antibody to identify changes in At4g12100 binding, localization, or complex formation following perturbation of candidate regulators. For spatiotemporal studies, combine tissue-specific or inducible CRISPR systems with immunolocalization using At4g12100 antibodies to map dynamic changes in protein distribution. To study protein complex formation, use CRISPR to tag suspected interaction partners with orthogonal epitopes, enabling multiplexed co-immunoprecipitation experiments with the At4g12100 antibody . For mechanistic insights, implement CRISPR-based chromatin imaging (using dCas9 fused to fluorescent proteins) combined with At4g12100 immunofluorescence to visualize co-localization at specific genomic loci.
Recent advances in studying chromatin dynamics during stress responses using At4g12100 antibodies have expanded our understanding of plant epigenetic regulation. Researchers now implement sequential ChIP-seq (ChIP-reChIP) using At4g12100 antibodies in combination with histone modification antibodies to map stress-specific chromatin states where At4g12100 is present . Time-resolved ChIP (trChIP) is being applied to track the dynamics of At4g12100 binding during stress response progression, from early signaling to adaptation phases. CUT&RUN and CUT&Tag methodologies, which offer improved signal-to-noise ratios compared to traditional ChIP, are being adapted for plant tissues to map At4g12100 binding with higher sensitivity and lower cell numbers. Researchers are employing Protein Interaction Profile Sequencing (PIP-seq) combined with At4g12100 antibodies to identify both protein-protein and protein-DNA interactions simultaneously during stress responses. Live-cell imaging approaches using tagged At4g12100 complemented with antibody-based fixed-cell imaging are revealing the dynamics of chromatin association in response to various stressors. Integration of At4g12100 ChIP-seq with chromatin accessibility assays (ATAC-seq) and long-read sequencing technologies is providing insights into three-dimensional chromatin structure reorganization during stress adaptation . For plant-specific applications, researchers are optimizing nuclei isolation protocols from specific cell types using fluorescence-activated nuclei sorting (FANS) followed by At4g12100 ChIP to reveal cell-type-specific stress responses.
Combining mass spectrometry with At4g12100 antibodies enables comprehensive characterization of post-translational modifications (PTMs) and their functional impacts. Researchers should first perform immunoprecipitation with At4g12100 antibodies followed by LC-MS/MS analysis to identify PTMs such as phosphorylation, acetylation, methylation, ubiquitination, and SUMOylation . For site-specific PTM quantification, implement SILAC (Stable Isotope Labeling with Amino acids in Cell culture) or TMT (Tandem Mass Tag) labeling approaches to compare modification levels between conditions. To identify enzymes responsible for specific modifications, combine At4g12100 immunoprecipitation with proximity labeling techniques like BioID or TurboID to capture nearby proteins that might function as modifying enzymes. For temporal dynamics analysis, perform pulse-chase experiments coupled with immunoprecipitation and mass spectrometry to track modification turnover rates. When studying how PTMs affect protein interactions, compare interaction partners of modified versus unmodified protein using parallel immunoprecipitations with modification-specific antibodies. To determine functional consequences, correlate PTM changes with alterations in At4g12100 genomic binding patterns by comparing ChIP-seq profiles under different conditions . For challenging PTM detection, implement selective enrichment strategies like phosphopeptide enrichment (IMAC or TiO2) or ubiquitin remnant antibodies before mass spectrometry analysis. When examining crosstalk between multiple modifications, use top-down proteomics approaches that maintain intact protein analysis, preserving information about co-occurring modifications on the same protein molecule.