Robust comparison of protein levels across tissues and throughout development using standardized quantitative western blotting

Yu Ting Huang, Dinja van der Hoorn, Leire M. Ledahawsky, Anna A.L. Motyl, Crispin Y. Jordan, Thomas H. Gillingwater, Ewout J.N. Groen*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Western blotting is a technique that is commonly used to detect and quantify protein expression. Over the years, this technique has led to many advances in both basic and clinical research. However, as with many similar experimental techniques, the outcome of Western blot analyses is easily influenced by choices made in the design and execution of the experiment. Specific housekeeping proteins have traditionally been used to normalize protein levels for quantification, however, these have a number of limitations and have therefore been increasingly criticized over the past few years. Here, we describe a detailed protocol that we have developed to allow us to undertake complex comparisons of protein expression variation across different tissues, mouse models (including disease models), and developmental timepoints. By using a fluorescent total protein stain and introducing the use of an internal loading standard, it is possible to overcome existing limitations in the number of samples that can be compared within experiments and systematically compare protein levels across a range of experimental conditions. This approach expands the use of traditional western blot techniques, thereby allowing researchers to better explore protein expression across different tissues and samples.

Original languageEnglish
Article numbere59438
JournalJournal of Visualized Experiments
Volume2019
Issue number146
DOIs
Publication statusPublished - Apr 2019
Externally publishedYes

Keywords

  • Biochemistry
  • Development
  • Fluorescence
  • Issue 146
  • Loading control
  • Protein analysis
  • Quantitative biology
  • Western blotting
  • Whole tissue analysis

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