CYCP4-1 Antibody

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Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
CYCP4-1 antibody; Os10g0563900 antibody; LOC_Os10g41430 antibody; OsJ_031206 antibody; OSJNBa0027P10.16Cyclin-P4-1 antibody; CycP4;1 antibody
Target Names
CYCP4-1
Uniprot No.

Q&A

What are cyclins and what roles do they play in cell cycle regulation?

Cyclins are a family of proteins that function as regulatory subunits of cyclin-dependent kinases (CDKs), forming active complexes that drive cell cycle progression. Different cyclins are expressed at specific phases of the cell cycle and bind to corresponding CDKs to phosphorylate target substrates. For example, D-type cyclins (including CYCD4;1) can form complexes with CDKs to phosphorylate retinoblastoma (RB) proteins, particularly during G1 phase progression . The temporal expression and activity of different cyclins are crucial for proper cell cycle control, with D-type cyclins primarily functioning at G1, E-type cyclins at the G1-S transition, A-type cyclins during S phase, and B-type cyclins during G2-M transition. Understanding these cyclins and their antibodies is essential for investigating cell proliferation, differentiation, and cancer research .

What are the key considerations when selecting antibodies against specific cyclins?

When selecting cyclin antibodies, researchers should consider several critical factors. First, determine whether the experimental goal requires detection of a specific cyclin isoform or a general cyclin family. For instance, when studying Cyclin E1, researchers must ensure the antibody specifically recognizes this isoform rather than related E-type cyclins . Second, consider the species reactivity - many cyclin antibodies show cross-reactivity between species, but this varies significantly between products. For example, the Cyclin E1 antibody (11554-1-AP) shows reactivity with human and mouse samples, with cited applications in other species including rat, pig, and zebrafish . Third, confirm that the antibody has been validated for your specific application (Western blot, immunohistochemistry, immunoprecipitation, etc.). Finally, review published literature using the antibody to evaluate its performance in experimental contexts similar to yours .

How do different antibody applications affect cyclin detection sensitivity?

Different antibody applications have distinct sensitivity profiles for cyclin detection:

ApplicationTypical Dilution RangeSensitivity Considerations
Western Blot1:500-1:2000Detects denatured cyclins; good for quantification
Immunohistochemistry1:400-1:1600Visualizes spatial distribution in tissues; may require optimization of antigen retrieval methods
Immunoprecipitation0.5-4.0 μg per 1-3 mg proteinPreserves protein-protein interactions; ideal for studying cyclin-CDK complexes
Flow Cytometry~0.4 μg per 10^6 cellsAllows cell cycle phase correlation with cyclin expression

Each technique presents unique advantages and limitations. For example, Western blot can reveal multiple cyclin isoforms or modified forms based on molecular weight differences, as seen with CDK4 which appears as multiple bands around 33 kD and 40 kD . Immunohistochemistry provides crucial spatial information, such as the nuclear localization of Cyclin A1 in human testis spermatocytes . The choice of application should align with your specific research question and required sensitivity level .

How can researchers distinguish between different cyclin isoforms using antibodies?

Distinguishing between cyclin isoforms requires careful antibody selection and experimental design. First, use antibodies raised against unique epitopes or regions that differ between isoforms. For example, when studying CDK4, researchers identified multiple protein isoforms using different antibodies: sc-260 (raised against mouse CDK4 C-terminus) and sc-601 (raised against human CDK4 C-terminus) showed different affinities to various CDK4 isoforms, including a 33 kD wild-type form and variants around 40 kD . Second, employ high-resolution gel electrophoresis to separate closely related isoforms by molecular weight. Third, validate specificity through knockout/knockdown controls - as demonstrated with CDK4 shRNAs that decreased the 33 kD wild-type CDK4 while increasing some 40 kD proteins, indicating complex regulation of isoform expression . Fourth, consider using isoform-specific peptide competitors to confirm antibody specificity. Finally, liquid chromatography-mass spectrometry can provide definitive isoform identification when antibody-based methods yield ambiguous results, as was done to confirm CDK4 isoforms smaller than 33 kD .

What experimental approaches can reveal cyclin-CDK interactions in different cell cycle phases?

Multiple complementary approaches can effectively characterize cyclin-CDK interactions:

  • Co-immunoprecipitation (Co-IP): This technique can directly demonstrate physical interactions between cyclins and CDKs. For instance, researchers used Co-IP to show that CYCD4;1 forms complexes with both CDKA;1 and CDKB2;1 in plant cells .

  • In vitro pull-down assays: These assays can confirm direct binding between purified proteins. Researchers used this approach to verify that CYCD4;1 bound to both CDKB2;1 and CDKA;1 .

  • Yeast two-hybrid screening: This method can identify novel interaction partners. CYCD4;1 was initially identified as a CDKB2;1 interactor through yeast two-hybrid screening of an Arabidopsis cDNA library .

  • Kinase activity assays: These assays determine whether cyclin-CDK interactions result in functional enzyme complexes. For example, protein complexes of CYCD4;1-CDKA;1 and CYCD4;1-CDKB2;1 expressed in insect cells exhibited histone H1-kinase activity, confirming their functional significance .

  • Promoter-reporter assays: These can reveal the temporal coordination of cyclin and CDK expression. Using luciferase reporter constructs, researchers demonstrated that CDKB2;1 was expressed from early G2 to M phase, while CYCD4;1 was expressed throughout the cell cycle, with expression patterns overlapping during G2 to M phase .

How do variant forms of cyclins and CDKs impact experimental interpretation?

The presence of variant forms of cyclins and CDKs significantly complicates experimental interpretation and requires careful analysis. For instance, research on CDK4 revealed that beyond the canonical 33 kD wild-type protein, cells express multiple protein isoforms that appear as duplets or triplets on Western blots . These variants can arise through alternative splicing, as demonstrated by the identification of a CDK4 mRNA variant lacking exon 2, which encodes a 26 kD protein missing the first 74 amino acids of wild-type CDK4 . Such variants may have altered functional properties - the ΔE2 CDK4 variant lacks the ATP binding sequence and the PISTVRE domain required for CCND binding, resulting in loss of interaction with cyclin D1 and RB1 .

Surprisingly, these variants can have unexpected biological functions. Researchers found that both wild-type CDK4 and the ΔE2 variant could inhibit G1-S progression, accelerate S-G2/M progression, and differentially affect apoptosis depending on cell line and treatment conditions . These findings suggest previously unrecognized functions at S-G2/M phases via mechanisms independent of canonical cyclin binding . Therefore, when interpreting cyclin/CDK antibody data, researchers must consider:

  • The possibility of detecting multiple isoforms with different antibodies

  • The need to validate antibody specificity against known variants

  • The potential functional diversity of identified variants beyond canonical roles

  • The importance of using multiple antibodies targeting different epitopes to develop a complete picture of protein expression

What are the optimal protocols for Western blot detection of cyclins?

Optimizing Western blot protocols for cyclin detection requires attention to several critical factors:

  • Sample preparation: Extract proteins using buffers containing protease and phosphatase inhibitors to preserve cyclin integrity and phosphorylation status. For membrane-associated cyclins, consider specialized extraction methods.

  • Gel selection: Use 10-12% polyacrylamide gels to achieve optimal resolution of cyclins in the 30-60 kDa range. For distinguishing closely related isoforms, higher percentage gels or gradient gels may provide better separation.

  • Transfer conditions: Employ wet transfer methods (rather than semi-dry) when possible, particularly for larger cyclin isoforms. PVDF membranes are typically preferred over nitrocellulose for cyclin detection due to higher protein binding capacity and durability.

  • Blocking and antibody incubation: For Cyclin E1 antibody applications, researchers typically use dilutions of 1:500-1:2000 for Western blot . For Human Cyclin A1 antibody, a concentration of 1 μg/mL has been successfully employed .

  • Detection system: Use HRP-conjugated secondary antibodies with enhanced chemiluminescence for sensitive detection. For example, Human Cyclin A1 was successfully detected using HRP-conjugated Anti-Mouse IgG Secondary Antibody, revealing a specific band at approximately 52 kDa in various cell lines including THP-1, HeLa, NTera-2, MCF-7, and HEK293 cells .

  • Positive controls: Include lysates from cells known to express the target cyclin. For Cyclin E1, positive controls include HT-29, NIH/3T3, HeLa, Jurkat, MCF-7, HepG2, and K-562 cells . For Cyclin A1, THP-1, HeLa, NTera-2, and MCF-7 cells serve as suitable positive controls .

  • Data interpretation: Be prepared to observe multiple bands that may represent isoforms, post-translationally modified variants, or degradation products. For example, CDK4 detection often reveals multiple bands around 33 kD and 40 kD, which may represent different isoforms or modified forms of the protein .

How can immunohistochemistry be optimized for studying cyclins in tissue samples?

Optimizing immunohistochemistry (IHC) for cyclin detection in tissues requires several specific considerations:

  • Tissue preparation: Use appropriate fixation methods - typically 10% neutral buffered formalin for 24-48 hours followed by paraffin embedding. Overfixation can mask cyclin epitopes while underfixation may compromise tissue morphology.

  • Antigen retrieval: This step is critical for unmasking cyclin epitopes in fixed tissues. For Cyclin E1, both TE buffer (pH 9.0) and citrate buffer (pH 6.0) have been successfully used for antigen retrieval . The optimal method should be determined empirically for each antibody and tissue type.

  • Antibody concentration: For Cyclin E1 IHC applications, dilutions of 1:400-1:1600 are typically recommended . For Human Cyclin A1, concentrations around 15 μg/mL with overnight incubation at 4°C have proven effective .

  • Detection system: For visualizing bound antibodies, the choice of detection system impacts sensitivity and specificity. For example, Cyclin A1 was successfully visualized in human testis using an Anti-Mouse HRP-DAB Cell & Tissue Staining Kit, which produced brown staining that was effectively contrasted with hematoxylin counterstaining (blue) .

  • Positive control tissues: Include tissues known to express the target cyclin. Human testis has been validated as a positive control tissue for Cyclin A1 antibody, showing specific staining in the nuclei of spermatocytes . For Cyclin E1, mouse testis tissue and human placenta tissue have served as reliable positive controls .

  • Interpretation guidance: Understand the expected subcellular localization of your target cyclin. For example, Cyclin A1 shows specific localization to the nuclei of spermatocytes in human testis , which serves as an internal validation of staining specificity.

What strategies enable reliable detection of cyclin-protein interactions?

Detecting cyclin-protein interactions requires techniques that preserve native protein complexes. Several complementary approaches are recommended:

  • Co-immunoprecipitation (Co-IP): This remains the gold standard for detecting protein-protein interactions in cell lysates. For optimal results with cyclins:

    • Use mild lysis buffers containing 0.5% NP-40 or similar non-ionic detergents to preserve protein interactions

    • Include phosphatase inhibitors to maintain physiologically relevant phosphorylation states

    • Optimize antibody amounts (typically 0.5-4.0 μg antibody per 1.0-3.0 mg of total protein lysate for Cyclin E1)

    • Include appropriate controls (isotype controls, known interactors)

  • In vitro pull-down assays: These assays can validate direct interactions between purified proteins. Researchers successfully used this approach to confirm that CYCD4;1 interacts with both CDKB2;1 and CDKA;1 .

  • Baculovirus expression systems: For studying cyclin-CDK interactions, baculovirus-mediated expression in insect cells provides a eukaryotic environment that supports proper folding and modifications. This approach was effectively used to demonstrate that protein complexes of CYCD4;1-CDKA;1 and CYCD4;1-CDKB2;1 exhibit histone H1-kinase activity .

  • Yeast two-hybrid screening: This technique can identify novel interaction partners and was successfully used to identify CYCD4;1 as a CDKB2;1 interactor in Arabidopsis .

  • Mammalian transient expression systems: For studying interactions involving human cyclins, optimized mammalian expression systems can produce high yields of properly folded proteins. The FreeStyle 293-F cell-based system has been used to produce up to 400 mg/L of native proteins in less than a week, making it suitable for interaction studies requiring significant protein amounts .

Why might researchers observe multiple bands when using cyclin antibodies in Western blots?

The detection of multiple bands in Western blots with cyclin antibodies is a common phenomenon that can stem from several biological and technical factors:

  • Alternative splicing: Genes encoding cyclins and CDKs can undergo alternative splicing, producing protein isoforms of different sizes. For example, researchers identified a CDK4 mRNA variant lacking exon 2, encoding a 26 kD protein that lacks the first 74 amino acids of wild-type CDK4 .

  • Post-translational modifications: Cyclins undergo various modifications including phosphorylation, ubiquitination, and SUMOylation, which can alter their electrophoretic mobility. These modifications are often functionally relevant, regulating cyclin stability, localization, or activity.

  • Proteolytic processing: Cyclins may undergo regulated proteolysis as part of their normal function, producing specific fragments. Additionally, sample preparation can introduce artifactual degradation if protease inhibitors are inadequate.

  • Cross-reactivity: Antibodies may detect related family members. For instance, antibodies against one cyclin type might cross-react with structurally similar cyclins, particularly when using polyclonal antibodies.

  • Antibody-specific detection patterns: Different antibodies targeting the same protein can reveal distinct banding patterns. Research on CDK4 showed that sc-260 (raised against mouse CDK4 C-terminus) and sc-601 (raised against human CDK4 C-terminus) detected different patterns of bands around 33 kD and 40 kD .

  • Validation approach: To distinguish between these possibilities, researchers should:

    • Use positive and negative controls (including knockout/knockdown samples when available)

    • Compare results with multiple antibodies targeting different epitopes

    • Consider using proteasome inhibitors to distinguish between regulated degradation and artifacts

    • Employ mass spectrometry for definitive identification of unexpected bands

How can researchers address contradictory results between different cyclin antibodies?

When faced with contradictory results between different cyclin antibodies, researchers should implement a systematic troubleshooting approach:

  • Compare antibody characteristics: Review the epitope locations, clonality, and validation data for each antibody. Antibodies targeting different epitopes may reveal distinct aspects of protein expression or modification. For example, antibodies targeting N-terminal versus C-terminal regions might differentially detect splice variants or proteolytic fragments .

  • Conduct knockdown/knockout validation: Use RNA interference or CRISPR-Cas9 approaches to reduce or eliminate target expression. This approach revealed that some CDK4 shRNAs could decrease the 33 kD wild-type CDK4 while increasing some 40 kD proteins, whereas other shRNAs had opposite effects - indicating complex regulation of different isoforms .

  • Employ complementary techniques: Support antibody-based findings with non-antibody methods such as mass spectrometry, which can provide unbiased protein identification. This approach confirmed the existence of CDK4 isoforms smaller than 33 kD but failed to identify CDK4 at 40 kD, highlighting the limitations of individual techniques .

  • Investigate biological variables: Consider cell type-specific expression patterns, cell cycle phase-dependent variations, and response to experimental conditions. For instance, promoter analysis showed that CDKB2;1 was expressed from early G2 to M phase, whereas CYCD4;1 was expressed throughout the cell cycle with slight peaks at specific phases .

  • Reconcile results through biological context: Sometimes contradictory results reflect genuine biological complexity rather than technical artifacts. For example, the discovery that wild-type CDK4 and its ΔE2 variant can inhibit G1-S progression, accelerate S-G2/M progression, and differentially affect apoptosis in a cell line-specific manner revealed previously unrecognized functions beyond canonical roles .

What approaches can help validate unexpected cyclin expression patterns?

When researchers encounter unexpected cyclin expression patterns, several validation strategies can help confirm or refute these findings:

  • Multi-antibody confirmation: Employ multiple antibodies targeting different epitopes of the same protein. If different antibodies produce consistent results, confidence in the findings increases. The CDK4 study effectively utilized different antibodies (sc-260 and sc-601) to detect and characterize various protein isoforms .

  • Transcriptional analysis: Correlate protein findings with mRNA data using RT-PCR, RNA-Seq, or promoter activity assays. Promoter-reporter gene assays were effectively used to analyze expression patterns of CDKB2;1 and CYCD4;1 throughout the cell cycle, confirming their temporal coordination .

  • Cell synchronization studies: Analyze expression in synchronized cell populations to determine cell cycle phase-specific patterns. For example, BY-2 cells treated with aphidicolin were used to arrest cells at early S phase, allowing precise analysis of gene expression after release from the block .

  • Subcellular localization: Confirm expression patterns using immunofluorescence or fractionation approaches. Subcellular localization can provide functional insights - as demonstrated with Cyclin A1, which shows specific nuclear localization in human testis spermatocytes .

  • Functional validation: Test whether unexpected expression correlates with predicted functional outcomes. For example, researchers investigating CDK4 variants found that expression of these proteins affected cell cycle progression and apoptosis in ways that helped explain their biological significance .

  • Cross-species conservation: If the unexpected pattern is biologically significant, it may be conserved across species. The Cyclin E1 antibody has demonstrated reactivity across multiple species including human, mouse, rat, pig, and zebrafish, suggesting evolutionary conservation of important epitopes .

How are cyclin antibodies being used to investigate non-canonical functions of cyclins?

Cyclin antibodies are becoming crucial tools for investigating the expanding repertoire of non-canonical cyclin functions:

  • Non-cell cycle roles: Beyond driving cell cycle progression, cyclins have been implicated in transcriptional regulation, DNA damage response, and metabolism. Antibodies enable researchers to track cyclin localization and interactions in these contexts. For instance, research using CDK4 antibodies revealed unexpected functions at the S-G2/M phases of the cell cycle via mechanisms independent of binding to canonical partners .

  • Tissue-specific functions: Antibodies facilitate the study of tissue-specific cyclin expression and function. IHC analysis of Cyclin A1 in human testis revealed specific localization to spermatocyte nuclei, suggesting specialized functions in germ cell development .

  • Novel interaction partners: Immunoprecipitation with cyclin antibodies, followed by mass spectrometry, can reveal unexpected binding partners. This approach has expanded our understanding of cyclin functions beyond CDK activation. The discovery of CYCD4;1 as a binding partner for plant-specific CDKB2;1 through yeast two-hybrid screening illustrates how such approaches can identify novel interactions .

  • Alternative isoforms: Cyclin antibodies can detect variant forms with potentially distinct functions. Research on CDK4 using different antibodies revealed multiple protein isoforms, including variants that lacked canonical functional domains yet still affected cell cycle progression and apoptosis .

  • Post-translational modifications: Modification-specific antibodies can track regulatory events controlling cyclin function. These tools help reveal how phosphorylation, ubiquitination, and other modifications integrate cyclins into diverse signaling networks.

By applying these antibody-based approaches, researchers continue to expand our understanding of cyclins beyond their canonical roles in cell cycle regulation to include functions in development, differentiation, and disease processes .

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