Related Experiment Video
Updated: Jan 29, 2026

Differentiation, Maintenance, and Analysis of Human Retinal Pigment Epithelium Cells: A Disease-in-a-dish Model for BEST1 Mutations
Published on: August 24, 2018
Statistical analysis of disease-causing and neutral mutations in human membrane proteins
A Kulandaisamy1, S Binny Priya1, R Sakthivel1
1Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Chennai, Tamil Nadu, India.
Mutations in human membrane proteins impact their function, potentially causing disease. Disease-linked mutations often involve charge changes, with specific amino acid substitutions prevalent in different disease classes and protein types.
Area of Science:
- Biochemistry
- Genetics
- Molecular Biology
Background:
- Transmembrane proteins (TMPs) are crucial for cellular functions, and their mutations can lead to various diseases.
- Understanding mutation patterns in TMPs is key to deciphering disease mechanisms.
Purpose of the Study:
- To investigate variations in human membrane proteins and their association with disease.
- To identify dominant mutation types and their prevalence across different disease classes and protein topologies.
Main Methods:
- Analysis of human membrane protein variations.
- Categorization of mutations based on charge and polarity changes.
- Examination of mutation patterns in 14 disease classes and protein types (single-pass vs. multi-pass).
- Comparison of mutations in membrane proteins versus globular proteins.
Main Results:
- Negatively to positively charged/polar and nonpolar to nonpolar changes are dominant in disease-causing and neutral mutations, respectively.
- Arg mutations are frequent across 14 disease classes; specific mutations (e.g., Cys, Arg, nonpolar) are enriched in certain disease types and protein structures.
- Distinct mutation patterns are observed in different protein regions (membrane, inside, outside) and between membrane and globular proteins.
Conclusions:
- Specific amino acid substitutions in transmembrane proteins are strongly associated with particular diseases.
- The study provides insights into mutation-disease relationships, aiding in the development of predictive tools for transmembrane protein dysfunction.
More Related Videos
12:49Mutagenesis and Analysis of Genetic Mutations in the GC-rich KISS1 Receptor Sequence Identified in Humans with Reproductive Disorders
Published on: September 4, 2011
08:46Green Fluorescent Protein-based Expression Screening of Membrane Proteins in Escherichia coli
Published on: January 6, 2015
Related Concept Videos
Statistical Analysis: Overview
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
Statistical Analysis System (SAS)
Applications: SAS finds applications in numerous fields, including healthcare for clinical trial analysis, finance for risk assessment, marketing for customer data analysis, and...
Mutations
Introduction to Membrane Proteins
Statistical Significance
Viral Mutations