Conducted keyword searches across:
Antibody vendor catalogs (BioAtla, Thermo Fisher, Abcam, BD Biosciences)
PubMed-indexed studies
Patent databases
Technical validation pipelines (e.g., eLife antibody characterization protocols)
Applied advanced search filters:
Antibody nomenclature standards (WHO/IUIS guidelines)
Epitope mapping data
Commercial product identifiers
Cross-referencing with gene symbols (HUGO Gene Nomenclature Committee):
Hypothetical scenarios where "CYCU4-1" might exist but remain undocumented:
Preclinical antibody under confidentiality (no IND/CTA filings detected)
Internal research code name not yet published
Typographical error in query (e.g., CYR4-1, CYCL4-1)
| Step | Action | Purpose |
|---|---|---|
| 1 | Verify nomenclature with originating lab | Confirm correct spelling/target |
| 2 | Screen antibody vendors via direct inquiry | Check unpublished pipelines |
| 3 | Search patent databases (USPTO, Espacenet) | Identify early-stage developments |
| Clone | Vendor | Applications | Validation Data |
|---|---|---|---|
| SP4 | Abcam | IHC, WB, Flow Cyt | KO-validated in human/mouse cells |
| G124-326 | BD Biosciences | Flow Cyt, WB | Specificity confirmed vs D2/D3 isoforms |
| Antibody | Target | Clinical Phase | Key Findings |
|---|---|---|---|
| Ulocuplumab | CXCR4 | Phase Ib/II | 55.2% response rate in myeloma combotherapy |
If developing a novel antibody (hypothetical CYCU4-1), adopt best practices from Result :
Target Identification: Confirm gene/protein existence via UniProt/NCBI
Cell Line Selection: Use PaxDb proteomics data for high-expressing models
KO Validation: CRISPR-edited controls essential for specificity
Application Testing: Minimum standards per IJM guidelines (WB + IP + IF)
CYCU4-1 (also listed as CYCP4;1) is a plant-specific cyclin protein involved in cell cycle regulation. The antibody specifically targets this protein in plant systems, with confirmed reactivity against Arabidopsis thaliana . CYCP4;1 belongs to the cyclin family, which regulates cell cycle progression by activating cyclin-dependent kinases (CDKs).
In plants, cyclins like CYCP4;1 are critical for controlling cell division, growth, and developmental processes. While mammalian cyclins such as CDK4 form complexes with D-type cyclins to drive G1-to-S phase progression , plant cyclins have evolved specialized functions. The CYCU4-1 Antibody provides researchers with a tool to detect and study this protein's expression and function throughout plant development and in response to environmental stimuli.
CYCU4-1 Antibody differs significantly from antibodies targeting mammalian cyclins in several important ways:
Species specificity: CYCU4-1 Antibody is specifically designed for plant research with reactivity against plant tissues , unlike antibodies such as those for Cyclin E1 which target human systems .
Target protein: The antibody recognizes CYCP4;1 (Entrez Gene ID: 819082) , a plant-specific cyclin with unique structural and functional properties different from mammalian cyclins like CDK4 .
Immunogen characteristics: CYCU4-1 Antibody is raised against recombinant Arabidopsis thaliana CYCP4;1 protein , ensuring specificity for plant research applications.
Application optimization: While the antibody shares common applications like Western blotting with other cyclin antibodies, the optimal conditions are specifically tailored for plant tissue processing and protein extraction protocols.
Research has shown that antibody specificity is crucial for cyclin protein detection, as cyclins often exist in multiple isoforms that can show complex expression patterns similar to CDK4's multiple protein variants .
Before conducting experiments with CYCU4-1 Antibody, researchers should implement these validation steps:
Specificity testing: Verify antibody specificity using the provided pre-immune serum as a negative control and the supplied antigen (200μg) as a positive control .
Concentration optimization: Determine optimal antibody dilution through titration experiments for Western blot and ELISA applications. Start with recommended dilutions and adjust based on signal-to-noise ratio.
Sample preparation verification: Confirm effective protein extraction from plant tissues using specialized plant extraction buffers that address the challenges of plant-specific compounds like polyphenols.
Cross-reactivity assessment: If working with plant species other than Arabidopsis thaliana, perform cross-reactivity tests to ensure the antibody recognizes the CYCP4;1 homolog in your species of interest.
Control inclusion planning: Design experiments to include appropriate controls, such as tissue samples with known high and low CYCP4;1 expression levels.
These validation steps parallel approaches used for other cyclin antibodies, where researchers have identified multiple protein isoforms that respond differently to various antibodies .
For optimal Western Blot results with CYCU4-1 Antibody, researchers should consider the following protocol guidelines:
Sample preparation:
Extract proteins using plant-specific extraction buffers containing protease inhibitors
Include reducing agents to ensure proper protein denaturation
Quantify protein concentration using Bradford or BCA assay
Load 20-50μg total protein per lane, depending on CYCP4;1 abundance
Gel electrophoresis:
Use 10-12% SDS-PAGE gels for optimal separation
Include molecular weight markers spanning 10-70 kDa range
Run at 100-120V to ensure proper protein resolution
Transfer and blocking:
Antibody incubation:
Dilute CYCU4-1 Antibody in blocking buffer (starting dilution 1:1000)
Incubate overnight at 4°C with gentle rocking
Perform at least four 10-minute TBST washes
Detection:
This approach addresses the challenges of detecting cyclin proteins, which frequently appear as multiple bands or isoforms as observed with CDK4 in mammalian systems .
For effective ELISA with CYCU4-1 Antibody:
Plate preparation and coating:
Coat high-binding ELISA plates with plant protein extract (2-5μg/well)
Alternatively, use purified recombinant CYCP4;1 for standard curve generation
Coat overnight at 4°C in carbonate-bicarbonate buffer (pH 9.6)
Blocking and antibody application:
Block with 3-5% BSA in PBS for 1-2 hours at room temperature
Apply CYCU4-1 Antibody at optimized dilution (typically start at 1:500-1:2000)
Incubate for 2 hours at room temperature or overnight at 4°C
Controls integration:
Signal development and quantification:
Use HRP-conjugated anti-rabbit secondary antibody
Develop with TMB substrate and measure absorbance at 450nm
Generate standard curves using serial dilutions of the antigen
Data analysis:
Subtract background values from all readings
Calculate CYCP4;1 concentration using the standard curve
Normalize to total protein concentration for comparative analysis
This methodology ensures reliable quantification of CYCP4;1 in plant samples while accounting for the potential presence of multiple cyclin isoforms, similar to the protein multiplicity observed with CDK4 .
When studying CYCP4;1 expression throughout plant development using CYCU4-1 Antibody, these controls are critical:
Experimental controls:
Developmental reference controls:
Include tissues with known high CYCP4;1 expression (e.g., meristematic regions)
Sample non-dividing tissues as low-expression controls
Process all developmental stages simultaneously to minimize technical variation
Normalization controls:
Measure housekeeping proteins (e.g., actin, tubulin) as loading controls
Quantify total protein using stain-free technology or Ponceau staining
Consider using nuclear proteins as references when studying nuclear-localized cyclins
Validation controls:
Confirm protein expression changes with transcript analysis (RT-qPCR)
Use immunostaining to verify tissue-specific expression patterns
When available, include CYCP4;1 mutant or overexpression lines
Technical controls:
Process biological replicates from independent plants
Include technical replicates to assess procedural variation
Perform replicate experiments across different growth cycles
This comprehensive control strategy helps distinguish genuine developmental regulation from technical artifacts, similar to approaches used when studying complex expression patterns of cyclins like CDK4 .
CYCU4-1 Antibody enables sophisticated analysis of CYCP4;1 protein interactions throughout the cell cycle:
Co-immunoprecipitation approaches:
Use CYCU4-1 Antibody to immunoprecipitate native CYCP4;1 complexes
Identify interaction partners through Western blot or mass spectrometry
Compare interaction profiles across cell cycle phases
Validate key interactions using reverse co-IP with antibodies against candidate partners
Synchronization strategies:
Synchronize plant cell cultures using aphidicolin or hydroxyurea
Collect samples at defined cell cycle phases
Use CYCU4-1 Antibody to track CYCP4;1 levels and binding partners across the cycle
Compare with known cell cycle markers to correlate with specific phases
In situ interaction analysis:
Apply proximity ligation assay (PLA) using CYCU4-1 Antibody and antibodies against suspected interaction partners
Visualize interactions in fixed plant tissues or cells
Correlate interaction signals with cell cycle markers
Chromatin association studies:
Perform chromatin immunoprecipitation (ChIP) using CYCU4-1 Antibody
Identify genomic regions where CYCP4;1-containing complexes bind
Compare binding profiles across cell cycle stages
This approach provides insights into CYCP4;1 function comparable to studies of mammalian cyclins, where researchers have identified complex regulation of CDK4 at different cell cycle phases beyond the canonical G1 progression .
For detecting low-abundance CYCP4;1 in plant samples:
Enhanced extraction techniques:
Use specialized plant protein extraction buffers containing PVPP, DTT, and protease inhibitor cocktails
Implement TCA/acetone precipitation to concentrate proteins and remove interfering compounds
Consider subcellular fractionation to enrich nuclear proteins where cyclins often localize
Signal amplification methods:
Apply two-step detection with biotin-conjugated secondary antibody followed by streptavidin-HRP
Use high-sensitivity ECL substrates developed for low-abundance proteins
Consider tyramide signal amplification (TSA) for immunohistochemistry
Sample enrichment strategies:
Perform immunoprecipitation with CYCU4-1 Antibody before Western blotting
Use size-exclusion or ion-exchange chromatography to fractionate and concentrate samples
Apply protein concentration methods specific for low-abundance plant proteins
Specialized detection approaches:
Implement sandwich ELISA using capture and detection antibodies
Consider digital ELISA platforms (e.g., Single Molecule Array technology)
Explore highly-sensitive proximity extension assays for protein detection
These approaches address challenges similar to those encountered when studying multiple CDK4 isoforms, where researchers have needed to distinguish between closely related proteins present at different abundance levels .
Phosphorylation can significantly impact CYCP4;1 detection:
Phosphorylation effects on antibody recognition:
Analytical approaches for phosphorylation assessment:
Compare untreated samples with those treated with lambda phosphatase
Use Phos-tag™ SDS-PAGE to separate phosphorylated from non-phosphorylated forms
Apply 2D gel electrophoresis to resolve different phospho-isoforms
Methodological considerations:
Include phosphatase inhibitors in extraction buffers to preserve in vivo phosphorylation state
Use phospho-specific antibodies (if available) alongside CYCU4-1 Antibody
Consider phospho-proteomics to identify specific phosphorylation sites
Interpretation guidelines:
Multiple bands may indicate phosphorylation rather than non-specific binding
Shifts in apparent molecular weight may reflect phosphorylation status
Changes in band intensity after phosphatase treatment confirm phosphorylation
Research on CDK4 has demonstrated that phosphorylation can affect protein mobility on SDS-PAGE and change antibody recognition patterns, with different phosphorylation states potentially representing functional variations of the protein .
When encountering multiple bands with CYCU4-1 Antibody:
Isoform and modification analysis:
Treat samples with phosphatase to determine if bands represent phospho-isoforms
Compare with known molecular weights of alternative splice variants
Use epitope mapping to determine if all bands share the antibody recognition site
Consider that multiple bands may represent genuine biological variants, as observed with CDK4
Specificity confirmation techniques:
Technical optimization approaches:
Adjust antibody concentration to improve specificity
Optimize blocking conditions to reduce non-specific binding
Modify washing stringency to eliminate weak cross-reactivities
Test different protein extraction protocols to preserve protein integrity
Advanced analysis methods:
Use immunoprecipitation followed by mass spectrometry to identify each band
Apply 2D gel electrophoresis to separate proteins by both isoelectric point and molecular weight
Consider RNA-sequencing to identify potential splice variants
Research on cyclins has shown that multiple protein isoforms often exist, as exemplified by CDK4 which appears as multiple bands on Western blots that respond differently to various antibodies .
To differentiate specific CYCP4;1 signals from non-specific background:
Control-based validation:
Technical validation approaches:
Test multiple antibody dilutions to identify concentrations that maximize specific signal while minimizing background
Compare different blocking agents (BSA, milk, commercial blockers) to reduce non-specific binding
Increase washing stringency (higher salt concentration, longer washing times)
Cross-validation strategies:
Confirm results using alternative detection methods (e.g., mass spectrometry)
Compare protein detection results with mRNA expression data
When possible, use multiple antibodies targeting different epitopes
Signal analysis techniques:
Quantify signal-to-noise ratio across different experimental conditions
Apply digital image analysis to objectively assess band specificity
Consider statistical approaches to distinguish significant signals from background
Research on cyclin proteins has shown that antibody specificity can vary significantly, with some antibodies detecting multiple protein isoforms while others show higher specificity for particular variants .
When Western blot and ELISA results using CYCU4-1 Antibody show discrepancies:
Technical comparison analysis:
Evaluate whether both methods used identical sample preparation procedures
Compare antibody concentrations and incubation conditions between methods
Assess whether the same control samples show consistent results across techniques
Method-specific considerations:
Western blot detects denatured proteins while ELISA typically uses native proteins
Epitope accessibility may differ between methods
ELISA measures total protein concentration while Western blot separates by size
Sample preparation influences:
Test whether different extraction buffers affect results in each method
Consider how protein denaturation might impact epitope recognition
Evaluate whether sample processing affects certain protein isoforms differently
Scientific approaches to resolve contradictions:
Use a third method (e.g., immunoprecipitation, mass spectrometry) for validation
Perform spike-in recovery experiments to assess matrix effects in ELISA
Test serial dilutions of samples to identify potential concentration-dependent effects
Data interpretation strategies:
Consider that Western blot may detect multiple isoforms separately while ELISA measures total signal
Evaluate whether contradictions relate to specific sample types or experimental conditions
Create a standardized protocol that yields consistent results across methods
These discrepancies are common when studying proteins with multiple isoforms, as seen with CDK4 where different antibodies detect distinct protein variants with varying efficiency .
Integrating CYCU4-1 Antibody protein detection with transcriptomic data:
Experimental design for multi-omics integration:
Collect matched samples for both protein and RNA analysis
Include time-course sampling to capture dynamics and temporal relationships
Design experiments with sufficient biological replicates for statistical power
Correlation analysis methods:
Compare CYCP4;1 protein levels (detected by CYCU4-1 Antibody) with mRNA expression
Calculate Pearson or Spearman correlation coefficients
Identify genes whose expression profiles correlate with CYCP4;1 protein levels
Look for discordant patterns that may indicate post-transcriptional regulation
Pathway mapping strategies:
Use gene set enrichment analysis (GSEA) to identify pathways enriched among CYCP4;1-correlated genes
Apply network analysis to position CYCP4;1 within regulatory frameworks
Identify transcription factors that may regulate both CYCP4;1 and co-expressed genes
Causal relationship investigation:
Design perturbation experiments (e.g., CYCP4;1 overexpression or knockdown)
Measure resulting changes in both transcriptome and proteome
Use statistical causal inference methods to infer regulatory relationships
This integration approach can reveal relationships between CYCP4;1 and other cell cycle regulators, similar to studies that have examined CDK4's complex regulation and its multiple potential isoforms .
Complementary approaches to enhance CYCP4;1 research:
Genetic and molecular tools:
Generate tagged CYCP4;1 lines (GFP, RFP, HA) for localization and interaction studies
Develop CRISPR/Cas9 knockouts or RNAi lines to assess loss-of-function phenotypes
Create overexpression lines to study gain-of-function effects
Apply promoter-reporter constructs to visualize transcriptional regulation
Cell biology techniques:
Use flow cytometry to quantify cell cycle phases in wild-type versus CYCP4;1 mutants
Apply EdU labeling to measure S-phase progression
Implement live cell imaging to track division dynamics
Utilize fluorescence microscopy to monitor CYCP4;1 localization during cell cycle
Biochemical approaches:
Perform in vitro kinase assays to assess CYCP4;1-CDK activity
Use size exclusion chromatography to study complex formation
Apply chromatin immunoprecipitation to identify genomic targets
Implement phosphoproteomics to identify substrates of CYCP4;1-associated kinases
Systems biology integration:
Develop mathematical models of cell cycle regulation incorporating CYCP4;1
Apply network inference algorithms to position CYCP4;1 in regulatory networks
Use multi-omics data integration to comprehensively map cell cycle control
These complementary approaches can help understand the complex functions of plant cyclins, paralleling studies of mammalian cyclins like CDK4 that have revealed previously unrecognized functions at different cell cycle phases .
For investigating CYCP4;1 post-translational modifications:
Detection strategies:
Use CYCU4-1 Antibody for immunoprecipitation followed by modification-specific detection
Apply Phos-tag™ gels to separate phosphorylated from non-phosphorylated forms
Compare band patterns before and after phosphatase treatment
Consider that multiple bands detected by antibodies may represent different modification states, as observed with CDK4
Mass spectrometry approaches:
Immunoprecipitate CYCP4;1 using CYCU4-1 Antibody
Analyze by LC-MS/MS to identify specific modification sites
Implement targeted MS methods to quantify modification stoichiometry
Compare modification profiles across developmental stages or stress conditions
Functional analysis:
Generate phospho-mimetic and phospho-null mutants of key residues
Express modified variants in plants to assess functional consequences
Measure effects on protein stability, localization, and interaction partners
Compare cell cycle progression in plants expressing different variants
Experimental design considerations:
Include synchronization to capture cell cycle-specific modifications
Apply stress treatments to identify condition-dependent modifications
Design time-course experiments to track modification dynamics
Compare modifications across different tissues and developmental stages
Understanding CYCP4;1 post-translational modifications can provide insights into regulatory mechanisms, similar to studies showing how phosphorylation affects CDK4 mobility on SDS-PAGE and potentially its function .