Cyp19a1a, encoded by the cyp19a1a gene, is a cytochrome P450 family enzyme critical for estrogen synthesis. In fish, it is predominantly expressed in gonads and regulates:
Ovarian maturation: Elevated expression during late ovarian stages (stage IV–V) correlates with follicular cell activity and vitellogenesis .
Sex differentiation: Antagonizes male-promoting genes like dmrt1 to establish bipotential gonads .
Immune modulation: Female-biased expression suppresses antiviral responses by degrading MITA, a key immune signaling protein .
The cyp19a1a antibody is used to detect protein localization, quantify expression, and validate functional interactions. Key validation data include:
Expression Dynamics:
| Tissue | Expression Level (Relative to β-Actin) | Developmental Stage |
|---|---|---|
| Ovary | High (peaks at stage V) | Vitellogenesis |
| Testis | Moderate (stage II–III) | Spermatogonial proliferation |
| Pituitary Gland | Low | Stage IV–V (females) |
Mechanism: Cyp19a1a interacts with MITA at the endoplasmic reticulum, promoting autophagic degradation and reducing interferon (IFN) production .
In Vitro Tissue Culture:
Autophagy Induction: Co-expression of Cyp19a1a and MITA increases LC3-II levels, confirming autophagosome formation .
Cross-Reactivity: Potential overlap with brain-type cyp19a1b in some assays requires stringent validation .
Sex-Specific Effects: Female-biased immune suppression complicates therapeutic targeting .
STRING: 7955.ENSDARP00000111604
UniGene: Dr.75765
Cyp19a1a is an ovarian-type aromatase enzyme that catalyzes the conversion of androgens to estrogens. In fish and other vertebrates, it represents one of two primary aromatase forms, with distinct tissue distribution patterns compared to its brain-type counterpart (cyp19a1b). Research indicates that cyp19a1a is predominantly expressed in gonads, particularly ovaries, while cyp19a1b shows higher expression in neural tissues including the pituitary, forebrain, and hypothalamus . Functionally, cyp19a1a plays critical roles in:
Estrogen biosynthesis and reproductive development
Ovarian differentiation and maturation processes
Regulation of sex-specific immune responses
Potential involvement in hormone-responsive cancer mechanisms
The protein typically has a molecular weight of approximately 75 kDa as detected in Western blot analyses of ovarian tissue . Understanding these basic characteristics is essential for proper experimental design when using cyp19a1a antibodies in research applications.
Proper validation of cyp19a1a antibodies is crucial for ensuring experimental reliability. Recommended approaches include:
Western blot validation: Confirm antibody specificity by detecting the expected 75 kDa band in tissues known to express cyp19a1a (primarily ovarian tissue) . Include proper controls such as testicular tissue for comparison.
Immunohistochemistry (IHC) correlation: Verify that IHC staining patterns match known expression profiles from transcriptomic data. For example, cyp19a1a protein detection should be predominantly localized to follicle cells in ovaries at stage V of development .
Knockout/knockdown validation: When possible, use cyp19a1a knockout or knockdown models to confirm antibody specificity through the absence or reduction of signal.
Cross-reactivity testing: Assess potential cross-reactivity with cyp19a1b or other related cytochrome P450 enzymes, particularly in species with high sequence homology.
Recombinant protein controls: Use purified recombinant cyp19a1a as a positive control to establish detection sensitivity and specificity thresholds .
Cyp19a1a antibodies serve as valuable tools in cancer research, particularly for investigating aromatase inhibitor (AI) resistance mechanisms in estrogen receptor-positive (ERα+) breast cancers. Key applications include:
Detection of CYP19A1 amplification: Antibodies can help confirm gene amplification events at the protein level. Research has shown that approximately 21.5% of AI-treated breast cancer patients develop CYP19A1 amplification at first relapse, compared to only 4% of tamoxifen-treated patients .
Investigation of resistance mechanisms: Studies have demonstrated that CYP19A1 amplification causes increased aromatase activity and estrogen-independent ERα binding to target genes, resulting in decreased sensitivity to AI treatment .
Monitoring of treatment response: Cyp19a1a antibodies can help track changes in aromatase expression levels during treatment and progression.
Patient-derived xenograft (PDX) models: Antibodies facilitate validation of appropriate PDX models by confirming maintenance of relevant CYP19A1 amplification characteristics from the original tumor .
Methodology for analyzing CYP19A1 amplification frequently combines DNA-based techniques (TaqMan CNA assay, FISH) with protein-level confirmation via antibody-based methods, providing a more comprehensive assessment of the amplification's functional consequences .
In developmental biology, cyp19a1a antibodies provide critical insights into sexual differentiation, gonadal development, and steroidogenic pathways:
Temporal expression analysis: Track cyp19a1a protein expression during key developmental stages, correlating with established transcriptional profiles. For example, qPCR shows that cyp19a1a is highly expressed from yolk plug stage to pre-hatching stage in early fish development .
Cell-specific localization: IHC studies using cyp19a1a antibodies reveal that the protein is specifically expressed in follicle cells at stage V in ovaries and in spermatogonia from stage II to stage IV in testes .
Functional studies with recombinant protein: Recombinant cyp19a1a (rCyp19a1a) can be produced and used in gonadal tissue culture experiments to investigate its effects on the expression of sex-related genes .
This methodological approach allows researchers to establish not just where and when cyp19a1a is expressed, but also how it functionally influences the expression of downstream genes involved in reproductive development.
Recent research has revealed an unexpected role for cyp19a1a in immune function, particularly in antiviral responses. Studies show that:
Sex-specific antiviral immunity: Female fish are more vulnerable to viral infections than males, with significantly weaker interferon (IFN) expression .
Cyp19a1a as an immune regulator: The highly female-biased cyp19a1a expression correlates with this reduced antiviral response .
Mechanistic pathways: Cyp19a1a targets the mediator of IRF3 activation (MITA) for autophagic degradation, thus dampening antiviral responses .
Methodological approaches using cyp19a1a antibodies to investigate these immune functions include:
Co-immunoprecipitation assays: To detect Cyp19a1a interactions with MITA and autophagy factors like ATG14 .
Immunofluorescence microscopy: To visualize co-localization of Cyp19a1a with autophagy-related proteins.
Comparative immunoblotting: Between cyp19a1a+/+ and cyp19a1a-/- models to assess differences in interferon pathway activation.
This research area represents a novel intersection between reproductive biology and immunology, highlighting how cyp19a1a antibodies can contribute to understanding complex biological interactions beyond traditional steroidogenic pathways.
Based on published research, the following protocol optimizations are recommended for Western blotting with cyp19a1a antibodies:
Sample preparation:
Use fresh tissue samples from ovaries (primary source of cyp19a1a) or recombinant protein as positive control
Include appropriate negative controls (tissues with low expression)
Standard protein extraction with RIPA buffer containing protease inhibitors
Gel electrophoresis and transfer:
Antibody incubation:
Detection considerations:
ECL detection systems with appropriate sensitivity for the expected expression level
Exposure times may need optimization depending on expression levels across different samples
Special considerations:
When analyzing samples from different species, select antibodies raised against conserved epitopes
For experiments involving both cyp19a1a and cyp19a1b, verify antibody specificity to avoid cross-reactivity
Successful detection of cyp19a1a has been demonstrated in studies showing the expected 75 kDa band in ovarian tissue but not in other tissues with low expression .
Effective immunohistochemistry (IHC) with cyp19a1a antibodies requires careful optimization:
Tissue fixation and processing:
4% paraformaldehyde fixation for 24 hours followed by paraffin embedding is commonly effective
Section thickness of 5-7 μm is recommended for optimal antibody penetration and signal clarity
Antigen retrieval:
Heat-induced epitope retrieval in citrate buffer (pH 6.0) is typically effective
Pressure cooking for 2-3 minutes followed by 20 minutes of cooling improves antigen accessibility
Blocking and antibody incubation:
5-10% normal serum (matching secondary antibody host) with 0.1-0.3% Triton X-100
Primary antibody incubation at 4°C overnight with dilutions typically between 1:100 and 1:500
Secondary antibody incubation for 1-2 hours at room temperature
Signal development and analysis:
DAB (3,3′-diaminobenzidine) or fluorescent-conjugated secondary antibodies depending on experimental needs
For fluorescence, include DAPI nuclear counterstain for cellular context
Expected patterns:
This methodology has successfully demonstrated Cyp19a1a localization in gonadal tissues, with expression patterns consistent with qPCR data .
Production of recombinant Cyp19a1a (rCyp19a1a) is valuable for functional studies and antibody validation. Based on published methodologies:
Cloning strategy:
Clone into appropriate expression vector with affinity tag (His, GST, etc.)
Expression systems:
Prokaryotic: E. coli BL21(DE3) for high yield but potential folding issues
Eukaryotic: Insect cells or mammalian expression systems for better post-translational modifications
Purification approach:
Affinity chromatography using tag-specific resins
Further purification via size exclusion or ion exchange chromatography as needed
Validation methods:
Functional validation:
This methodological approach has been successfully employed to produce functional rCyp19a1a that significantly affects the expression of sex-related genes in gonadal tissue cultures .
Investigating cyp19a1a's role in aromatase inhibitor (AI) resistance requires multifaceted approaches:
Copy number analysis:
Expression correlation studies:
Assess relationship between CYP19A1 amplification and protein levels using validated antibodies
Compare expression in AI-resistant versus sensitive tumors
Correlate with clinical outcomes and treatment history
Functional validation in cell models:
Generate Long-Term Estrogen Deprived (LTED) cell lines to model AI resistance
Measure cyp19a1a expression and activity in resistant versus sensitive cells
Assess letrozole (AI) sensitivity in cells with manipulated cyp19a1a levels
Mechanistic investigation:
siRNA targeting CYP19A1 to assess impact on AI sensitivity (IC50 measurements)
Analysis of downstream estrogen-responsive gene activation
Investigation of estrogen-independent ERα binding to target genes
Research has demonstrated that CYP19A1 amplification is detected in 21.5% of AI-treated patients versus 4% of tamoxifen-treated patients at first relapse, with amplification-positive cells showing significantly reduced sensitivity to AI treatment (IC50=80μM) .
Recent discoveries linking cyp19a1a to autophagy-mediated immune regulation require specialized methodological approaches:
Protein-protein interaction analysis:
Co-immunoprecipitation of Cyp19a1a with autophagy components (e.g., ATG14)
Proximity ligation assays to visualize interactions in situ
Yeast two-hybrid or mammalian two-hybrid screening to identify novel interactors
Autophagic flux assessment:
LC3-II conversion assays with and without lysosomal inhibitors
p62/SQSTM1 accumulation measurements
Tandem fluorescent-tagged LC3 (mRFP-GFP-LC3) to distinguish autophagosome formation from degradation
Target degradation studies:
Compare MITA stability in cyp19a1a+/+ versus cyp19a1a-/- models
Cycloheximide chase assays to measure protein half-life differences
Proteasome inhibitors versus autophagy inhibitors to determine degradation pathway
Functional consequences measurement:
Interferon expression analysis following viral challenge
Viral replication assays in the presence/absence of cyp19a1a
Cell-based reporter systems for IRF3 activation
Research has established that Cyp19a1a targets MITA for autophagic degradation, thereby diminishing antiviral responses, with ATG14 playing a crucial role in this process by either promoting or attenuating Cyp19a1a-mediated MITA degradation when overexpressed or knocked down, respectively .
Investigation of the complex feedback relationships between cyp19a1a and estrogen requires specialized methodological approaches:
In vitro culture systems:
Analysis of regulatory elements:
Identification of estrogen response elements (EREs) in cyp19a1a promoter
Chromatin immunoprecipitation (ChIP) to assess ERα/ERβ binding
Luciferase reporter assays with wild-type and mutated promoter constructs
Receptor specificity studies:
Selective estrogen receptor modulators (SERMs) to distinguish ERα versus ERβ effects
Correlation between esr1 (ERα), esr2a (ERβ) and cyp19a1a expression
siRNA knockdown of specific estrogen receptors to determine their role in regulation
In vivo validation:
Analysis of cyp19a1a expression in different hormonal states or following treatments
Developmental time course studies correlating hormone levels with expression
Research has demonstrated that E2 treatment significantly increases cyp19a1a expression in both ovarian and testicular tissue cultures, suggesting a positive feedback loop between estrogen and aromatase expression .
| Treatment Group | cyp19a1a Expression in Ovary | cyp19a1a Expression in Testis |
|---|---|---|
| Control | Baseline | Baseline |
| E2 | Significantly increased | Significantly increased |
| AI | No significant change | No significant change |
| MT | No significant change | Significantly increased |
| E2+AI | Moderate increase | Significantly increased |
| E2+MT | Moderate increase | Significantly increased |
Cross-reactivity between cyp19a1a and cyp19a1b antibodies presents a significant challenge due to sequence homology. Recommended approaches include:
Antibody selection considerations:
Choose antibodies raised against unique, non-conserved epitopes
Review sequence alignments between cyp19a1a and cyp19a1b to identify divergent regions
Consider custom antibody development targeting specific peptide sequences
Validation with multiple methodologies:
Correlate protein detection with RNA expression profiles across tissues
cyp19a1a is predominantly expressed in ovaries while cyp19a1b shows highest expression in neural tissues (pituitary, forebrain, hypothalamus)
Use both Western blotting and immunohistochemistry to confirm tissue-specific patterns
Controls for specificity:
Include positive controls from tissues with known predominant expression of one isoform
When possible, use samples from knockout/knockdown models
Pre-absorption controls with specific peptide antigens
Differential expression verification:
Recombinant protein standards:
Use purified recombinant cyp19a1a and cyp19a1b as controls
Compare antibody binding affinity and specificity against each protein
These approaches collectively allow researchers to confidently distinguish between the two aromatase forms despite their structural similarities.
Researchers investigating cyp19a1a amplification may encounter inconsistent results due to several factors:
Methodological considerations:
Different detection methods (TaqMan CNA vs. FISH) may yield varying results
DNA-FISH analysis shows cyp19a1a amplification as cluster amplification signals in >90% of nuclei from metastatic samples, while being undetectable in primary samples
Ensure standardized protocols across samples and replicates
Tumor heterogeneity:
CYP19A1 amplification may not be uniform throughout a tumor
Multiple sampling from different tumor regions may be necessary
Single-cell approaches might reveal subpopulations with different amplification status
Technical artifacts:
Low-quality DNA/RNA from FFPE samples can affect amplification detection
Reference gene selection for normalization can influence relative quantification
Aneuploidy can confound amplification results unless proper controls are used
Treatment effects:
Prior exposure to aromatase inhibitors affects amplification frequencies
Document complete treatment history when interpreting results
Consider time-course studies to track amplification emergence
Validation approaches:
Confirm gene amplification results at the protein level using validated antibodies
Correlate with functional outcomes (e.g., aromatase activity, AI resistance)
Employ multiple techniques to cross-validate findings
Research shows dramatic differences in CYP19A1 amplification rates between AI-treated (21.5%) and tamoxifen-treated (4%) patient cohorts, highlighting the importance of treatment history in data interpretation .
Interpreting cyp19a1a expression across developmental stages requires careful consideration of multiple factors:
Temporal expression patterns:
Tissue-specific localization:
Methodological considerations:
Experimental design factors:
Sample collection timing requires standardization relative to developmental milestones
Statistical analysis should account for biological variation within developmental stages
Consider pooled samples for early stages with limited tissue availability
Integration of protein and RNA data:
Correlate qPCR results with protein detection via Western blot or IHC
Time lags between transcription and translation may result in temporal discrepancies
Post-transcriptional regulation may affect correlation between RNA and protein levels
By systematically addressing these factors, researchers can generate reliable interpretations of developmental expression data for cyp19a1a.
Several cutting-edge technologies show promise for advancing cyp19a1a research:
CRISPR-Cas9 gene editing:
Generation of precise cyp19a1a knockout or knock-in models
Introduction of specific mutations corresponding to human polymorphisms
Creation of reporter lines with fluorescently tagged endogenous cyp19a1a
Single-cell technologies:
Single-cell RNA-seq to identify cell populations with differential cyp19a1a expression
Spatial transcriptomics to map cyp19a1a expression in intact tissues
CyTOF or spectral flow cytometry for protein-level analysis in heterogeneous samples
Organoid and 3D culture systems:
Development of ovarian or testicular organoids to study cyp19a1a in more physiologically relevant contexts
Co-culture systems to investigate cell-cell interactions affecting cyp19a1a function
Microfluidic "organ-on-a-chip" platforms for dynamic hormone regulation studies
Computational approaches:
Systems biology modeling of estrogen synthesis pathways
Machine learning algorithms to predict cyp19a1a expression patterns from multi-omics data
Molecular dynamics simulations of aromatase inhibitor interactions
In vivo imaging:
Development of specific probes for non-invasive imaging of aromatase activity
Longitudinal studies tracking cyp19a1a expression during development or disease progression
Correlation of imaging data with functional outcomes
These technological advances will likely provide deeper insights into cyp19a1a biology and its roles in development, reproduction, and disease processes.
Evolutionary analyses of cyp19a1a offer valuable insights for functional research:
Comparative genomics approaches:
Analysis of cyp19a1a and cyp19a1b across vertebrate species
Identification of conserved versus divergent domains suggesting functional importance
Study of regulatory element evolution to understand expression pattern differences
Evolutionary pressures:
Ancestral reconstruction:
Structure-function relationships:
Use of comparative sequence analysis to identify critical residues for substrate specificity
Three-dimensional structural comparisons between species to understand mechanistic differences
Correlation between structural conservation and enzymatic activity
Ecological and behavioral correlations:
Investigation of cyp19a1a evolution in species with diverse reproductive strategies
Correlation between environmental factors and aromatase function/regulation
Understanding how sexual selection may have shaped aromatase evolution
Evolutionary perspectives provide a broader context for understanding cyp19a1a function beyond individual model organisms, potentially revealing novel functional aspects that might otherwise be overlooked.