# Titration-WB: A methodology for accurate quantitative protein determination overcoming reproducibility errors

## TL;DR

A new Western blotting method called titration-WB improves protein quantification accuracy and reproducibility by using serial dilutions and regression analysis.

## Contribution

Titration-WB introduces a quantitative approach that eliminates housekeeping protein normalization and reduces technical variability.

## Key findings

- t-WB uses regression curves from serial dilutions to accurately measure protein concentration.
- The method reduces inter-experiment variability and eliminates bias from housekeeping protein normalization.
- t-WB improves reproducibility and reveals subtle biological changes missed by traditional WB.

## Abstract

Western blotting (WB) is a cornerstone technique for protein detection and quantification in molecular biology. However, its semi-quantitative nature, reliance on housekeeping protein normalization, and susceptibility to technical variability often undermine data accuracy and reproducibility. To address these limitations, we introduce titration-based Western blotting (t-WB), as innovative quantitative approach that uses serial dilutions of protein samples to generate regression curves for precise protein quantification. The method mitigates common errors, including loading inaccuracies and signal saturation, by leveraging the R² value as a quality control metric and calculating the regression line. Its slope is then used as a measure of protein concentration, expressed as signal intensity/total protein loaded. The advantage of t-WB is the removal of housekeeping protein normalization, eliminating thus the bias created by experimental conditions that may alter housekeeping protein levels. t-WB was validated across diverse setups, demonstrating its robustness in minimizing inter-experiment variability and improving accuracy by normalizing to a single internal control. By standardizing workflows, t-WB ensures reproducibility, uncovers subtle biological changes, and resolves biases inherent to classical WB protocols.