Mucin Quantitation
Mucin Quantitation - Related Videos
11:39
Using Unfixed, Frozen Tissues to Study Natural Mucin Distribution
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Cited by 39 •
2012
Unfixed frozen tissue samples embedded in Optimal Cutting Temperature medium (OCT) can be used to study natural distribution and glycosylation of secreted mucus. In this approach tissue processing is minimal and the natural presentation of glycolipids, mucins and glycan-epitopes is preserved. Tissue sections can be analyzed by immunohistochemistry using fluorescence or chromogenic detection.
09:24
Mucin Agarose Gel Electrophoresis: Western Blotting for High-molecular-weight Glycoproteins
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Cited by 32 •
2016
Mucins are high-molecular-weight glycoconjugates, with size ranging from 0.2 to 200 megadalton (MDa). As a result of their size, mucins do not penetrate conventional polyacrylamide gels and require larger pores for separation. We provide a detailed protocol for mucin agarose gel electrophoresis to assess relative quantification and study polymer assembly.
10:10
Robotic Duodenum-preserving Total Pancreatic Head Resection for Intraductal Papillary Mucinous Neoplasms
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2026
This protocol presents robotic duodenum-preserving total pancreatic head resection (R-DPPHRt) for intraductal papillary mucinous neoplasms (IPMNs). A video demonstrates the technique in a patient with main duct-IPMN, highlighting its feasibility as a minimally invasive, organ-preserving alternative to pancreaticoduodenectomy.
08:51
Profiling of Permethylated Mucin O-glycans Using Matrix-assisted Laser Desorption/Ionization Time-of-flight Mass Spectrometry
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2025
Here, we present a detailed protocol for the release of O-glycans from mucins, and the subsequent desalting, permethylation, and analysis using MALDI-TOF mass spectrometry.
11:40
Quantitative Autonomic Testing
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Cited by 179 •
2011
Standardized, comprehensive and fully quantitative testing of autonomic functions is described. The autonomic tests consist of evaluation of all three major autonomic domains including cardiovagal, adrenergic and sudomotor. The severity and distribution of dysautonomia is quantitated using Composite Autonomic Severity Scores.
FAQs
The detection principle determines which part of the molecule is measured. Antibodies recognize specific mucin protein backbones, whereas lectins bind particular carbohydrate-rich structures. Colorimetric assays instead estimate glycoprotein-associated sugars. Consequently, these approaches may report different aspects of mucin abundance, so the selected assay should match whether the study focuses on mucin identity, carbohydrate domains, or overall glycoprotein-associated signal.
Extensive glycosylation means that mucin measurements can reflect either the protein backbone or its attached carbohydrate domains. A change in carbohydrate-associated signal does not necessarily represent the same change as a protein-directed measurement. Comparing these readouts can therefore provide information about mucin composition as well as abundance, which is important when biological conditions alter the character of mucus rather than only its quantity.
Differences in measured mucin levels can be examined alongside changes in epithelial biology to assess altered differentiation, inflammation, or infection-related responses. In tissue studies, they may also help investigate tumor progression and mucus-related barrier changes. The measurement is most informative when interpreted as part of a comparison between experimental conditions, rather than as an isolated indicator of a single biological process.
Assay selection should reflect both the sample type and the feature of interest. Epithelial cell cultures, secretions, and tissue samples may be examined with antibody binding, lectin recognition, or colorimetric measurement, depending on whether the goal is to assess protein backbones, carbohydrate-rich domains, or glycoprotein-associated sugars. This alignment improves the relevance of comparisons across experimental conditions.
A practical comparison begins by selecting the biological material, defining the mucin feature to measure, and applying a compatible detection approach to each condition. The resulting signals are then compared to identify differences in mucin production or associated carbohydrate content. Consistent sample types and assay principles are important because changing the measured molecular feature can complicate interpretation of the comparison.
The approach is useful when researchers need to evaluate mucus-related phenotypes in epithelial cultures, secretions, or tissues. It can support studies of barrier function, interactions between tissues and their environments, and changes associated with inflammation, infection, altered differentiation, or tumor progression. Measurements also provide a basis for comparing experimental conditions when investigating how mucin production or composition changes.