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Related Experiment Video

Updated: Jul 5, 2026

Mucin Agarose Gel Electrophoresis: Western Blotting for High-molecular-weight Glycoproteins

Mucin Agarose Gel Electrophoresis: Western Blotting for High-molecular-weight Glycoproteins

Published on: June 14, 2016

Evolutionary genetic approaches to analyze mucins.

Petar Pajic¹, Omer Gokcumen²

¹Department of Chemistry, Yale University, New Haven, CT, United States.

Methods in Enzymology

|July 3, 2026

Summary

Mucins, key proteins forming protective barriers, have complex repeat regions (exVNTRs) challenging genetic analysis. New sequencing and analysis methods now allow detailed study of mucin genetics and evolution.

Keywords:

Copy number variation Glycoproteins Glycosylation Selection VNTR

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Using Unfixed, Frozen Tissues to Study Natural Mucin Distribution

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Published on: September 21, 2012

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Using Unfixed, Frozen Tissues to Study Natural Mucin Distribution

Using Unfixed, Frozen Tissues to Study Natural Mucin Distribution

Published on: September 21, 2012

Area of Science:

Genomics
Molecular Biology
Evolutionary Biology

Background:

Mucins are vital glycosylated proteins forming protective mucus barriers.
Mucin genes contain exonic variable number tandem repeat (exVNTR) domains, complicating genetic analysis due to repeat array collapse in short-read sequencing.
Advances in long-read sequencing and VNTR analysis tools offer new possibilities for studying mucin genetics.

Purpose of the Study:

To present practical protocols for the systematic investigation of mucin genetics and evolution.
To enable identification, annotation, and genotyping of mucin exVNTRs.
To outline strategies for analyzing natural selection on mucin repeat domains.

Main Methods:

Identification of candidate mucin genes across species.
Annotation of mucin exVNTRs using long-read genome assemblies.
Genotyping of exVNTR alleles in large short-read sequencing cohorts.
Development of analytical strategies for natural selection evaluation.

Main Results:

Established protocols for identifying and annotating mucin exVNTRs.
Enabled genotyping of exVNTR alleles in large cohorts.
Provided frameworks for evolutionary analysis of mucin variation.

Conclusions:

The presented protocols facilitate systematic identification, structural resolution, and evolutionary analysis of mucin variation.
These methods are applicable across species and human populations.
This work enhances our understanding of mucin gene evolution and function.