| Application | Recommended Dilution |
|---|---|
| IHC | 1:50-1:200 |
MUC5AC is a gel-forming mucin that plays a central role in maintaining mucosal barrier integrity throughout the respiratory and gastrointestinal tracts. As a major secretory component of airway and gastric epithelia, this glycoprotein is essential for protecting underlying tissues from pathogens, particulates, and chemical insults. Aberrant MUC5AC expression has been implicated in numerous pathological conditions, including chronic obstructive pulmonary disease, asthma, and various gastrointestinal malignancies, making it a valuable marker for researchers investigating mucosal biology, inflammatory responses, and cancer progression.
This recombinant monoclonal antibody, clone 18H7, offers the consistency and reliability that demanding experimental workflows require. Generated against a synthetic peptide derived from human MUC5AC, the antibody is produced using recombinant technology, ensuring sequence-defined specificity and eliminating the lot-to-lot variability that can compromise longitudinal studies or multi-site collaborations. The rabbit IgG format provides excellent signal amplification when paired with standard secondary detection systems.
Validation studies demonstrate robust performance in immunohistochemistry applications, with successful staining confirmed in paraffin-embedded human stomach tissue and human pancreatic cancer specimens. Using a Leica Bond automated staining platform with citrate buffer antigen retrieval, clear and specific signal was achieved at 1:100 dilution, though working concentrations between 1:50 and 1:200 are recommended to accommodate tissue-specific optimization. The antibody is also validated for ELISA applications, providing flexibility across different experimental approaches.
For researchers studying mucin biology in signal transduction pathways, epithelial barrier function, or tumor microenvironment characterization, this affinity-purified antibody delivers the reproducible performance needed to generate publication-quality data.
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