The PTGS2 antibody is a research tool used to detect and study the enzyme prostaglandin-endoperoxide synthase 2 (PTGS2), also known as cyclooxygenase-2 (COX-2). This enzyme is a key mediator of inflammation and is implicated in various pathological conditions, including cancer and cardiovascular diseases. PTGS2 antibodies enable researchers to quantify the enzyme's expression in tissues, fluids, or cell cultures, providing insights into its role in disease mechanisms and therapeutic targets.
PTGS2 is a 604-amino-acid protein encoded by the PTGS2 gene in humans. It exists as a sequence homodimer, with each monomer containing a peroxidase and a cyclooxygenase active site . The enzyme catalyzes the conversion of arachidonic acid to prostaglandin H2 (PGH2), a precursor for pro-inflammatory prostaglandins such as PGE2 and PGF2α . PTGS2 is inducible under inflammatory stimuli and is absent or minimally expressed in most normal tissues, except in the kidneys, brain, and endothelium .
Glycosylation: A 72 kDa glycosylated isoform is detected in colorectal cancer (CRC) tissues, associated with tumor progression .
Acetylation: Aspirin treatment modifies PTGS2 to produce anti-inflammatory 15(R)-HETE and epi-lipoxins .
PTGS2 antibodies are widely used in molecular biology techniques to study enzyme expression and localization.
Cancer: PTGS2 overexpression promotes tumor angiogenesis, metastasis, and resistance to apoptosis, particularly in colorectal cancer (CRC) . Stromal PTGS2 expression in CRC correlates with improved survival .
Cardiovascular Disease: Selective COX-2 inhibitors increase cardiovascular risks by disrupting prostacyclin production, which inhibits platelet aggregation .
Arthritis: PTGS2 inhibitors reduce joint inflammation but may exacerbate gastrointestinal bleeding .
AVF Failure: Elevated PTGS2 levels correlate with oxidative stress and lumen stenosis in arteriovenous fistula (AVF) failure; inhibition reduces stenosis .
CRC Prognosis: Stromal PTGS2 expression in CRC is associated with favorable outcomes, possibly via anti-tumor immune responses .
ROBO4 Signaling: In endothelial cells, ROBO4 suppresses PTGS2 expression by inhibiting RAC1 activation, mitigating inflammation .
RUNX1 Transcription Factor: RUNX1 directly activates the PTGS2 promoter in CRC cells, promoting tumor growth and metastasis .
For optimal PTGS2 detection in tissue samples, 10% neutral buffered formalin fixation for 24-48 hours is recommended. Overfixation can mask epitopes and reduce staining intensity, while underfixation may lead to inconsistent results. For paraffin-embedded sections, antigen retrieval is crucial - heat-induced epitope retrieval (HIER) using citrate buffer (pH 6.0) or EDTA buffer (pH 9.0) for 20 minutes typically yields optimal results. When evaluating fixation protocols, it's advisable to include positive control tissues with known PTGS2 expression patterns such as colon cancer specimens with inflammatory regions . Alternative fixatives like Bouin's solution should be avoided as they can interfere with PTGS2 epitope recognition.
Antibody specificity should be verified through multiple validation approaches. First, perform Western blotting using positive control samples (e.g., macrophages stimulated with LPS) and negative controls (PTGS2 knockout cells if available). A specific PTGS2 antibody should detect a single band at approximately 69-72 kDa . Second, conduct immunohistochemistry on tissues with known PTGS2 expression patterns, such as colon cancer specimens, comparing results with published literature. Third, perform peptide competition assays where pre-incubation of the antibody with its immunogenic peptide should eliminate specific staining. Finally, for monoclonal antibodies, verify the exact epitope recognition region (e.g., C-terminal, amino acids 501-604) to ensure appropriate detection of your target . Cross-reactivity with PTGS1 (COX-1) should be excluded, particularly when studying tissues that express both isozymes.
Comprehensive controls for PTGS2 Western blotting should include: (1) Positive controls: cell lines with documented PTGS2 expression (e.g., HeLa cells treated with TNF-α or IL-1β for 24 hours); (2) Negative controls: unstimulated cells or PTGS2 knockout cells; (3) Loading control: β-actin, GAPDH, or α-tubulin to normalize protein loading; (4) Molecular weight marker: to confirm the expected 69 kDa band for PTGS2 . Additionally, include a specificity control by pre-incubating the antibody with its immunogenic peptide. For experiments comparing PTGS2 expression across conditions, consider including a standard curve using recombinant PTGS2 protein to ensure detection falls within the linear range. When troubleshooting, remember that PTGS2 can appear as multiple bands due to post-translational modifications, particularly glycosylation, resulting in bands between 70-74 kDa.
Polyclonal PTGS2 antibodies recognize multiple epitopes on the PTGS2 protein, providing stronger signals but potentially higher background and batch-to-batch variability. They are ideal for applications like immunoprecipitation and can detect denatured PTGS2 in Western blots effectively. Monoclonal antibodies target a single epitope, offering high specificity and consistency between experiments but potentially lower sensitivity. They excel in applications requiring precise epitope recognition, such as distinguishing between PTGS1 and PTGS2 . For immunohistochemistry, rabbit monoclonal antibodies against PTGS2 generally provide optimal results with minimal background. When selecting between polyclonal and monoclonal antibodies, consider: (1) the application requirements, (2) whether conformational epitopes need to be recognized, (3) the host species to avoid cross-reactivity with secondary antibodies, and (4) whether the specific epitope region (e.g., C-terminal vs. N-terminal) affects detection in your experimental context.
Quantification of PTGS2 expression in immunohistochemistry should employ standardized scoring systems to ensure reproducibility. The H-score method is widely accepted, calculated as: 3 × % of strongly staining cytoplasm + 2 × % of moderately staining cytoplasm + 1 × % of weakly staining cytoplasm, yielding a range of 0-300 . Alternatively, use the categorical scoring system described by Chan et al., classifying expression as absent, weak, moderate, or strong, with weak/absent classified as PTGS2-low and moderate/strong as PTGS2-high . Digital image analysis software like QuPath can enhance objectivity and reproducibility. For clinical studies, establish cutoff values (e.g., H-score of 145.5) based on receiver-operating characteristic analysis to differentiate high from low expression . Always include positive controls (e.g., colon cancer with known PTGS2 overexpression) and negative controls (primary antibody omitted) in each staining batch, and have at least two independent observers score a subset of samples to assess inter-observer agreement (κ value).