ProDOL revolutionizes protein quantification in living cells

Scientists have developed a new way of counting labeled proteins in living cells that could become a standard and valuable tool in the field of biomedical research.

This powerful new technique, known as Protein-tag Degree of Labelling (ProDOL), provides a robust and versatile approach for precisely determining labeling efficiencies, the number of proteins that are labeled with fluorescent markers in living cells, in microscopy, a crucial aspect of protein quantification in biological research.

The method was developed by a team of researchers from Cardiovascular Sciences and the School of Chemistry at the University of Birmingham, in collaboration with several international institutions. The findings, which highlight the potential of ProDOL to significantly enhance the accuracy and reliability of protein labeling, were published in a recent study.

Fluorescence microscopy has long been a cornerstone in the field of biomedical research, enabling scientists to detect and analyze proteins within cells. However, the accuracy of these analyses heavily depends on the ability to determine how many proteins are labeled with fluorescent markers, a parameter known as the degree of labeling (DOL). Existing methods for measuring DOL have limitations, often resulting in variable labeling efficiencies and unspecific signals.

ProDOL is designed to address these challenges by providing a fast and reliable method to quantify labeling efficiencies. This tool allows for the optimization of protein-tag labeling strategies and provides accurate measurements of protein copy numbers in cellular structures."

Professor Dirk-Peter Herten, lead researcher at Cardiovascular Sciences, University of Birmingham

"With its proven accuracy and adaptability, ProDOL is set to become a standard and valuable tool in the field of biomedical research, paving the way for more precise and insightful studies of cellular functions. It is also highly versatile, making it applicable to various cell types and experimental conditions.

"In the future this could, for example, improve our understanding of cellular signalling processes in the activation of immune cells or platelets which are relevant in the context of various diseases, including but not limited to inflammation, immune deficiencies, and various cardiovascular diseases."

Real-world applications and future directions

In the study, ProDOL was applied to investigate how the HIV-1 virus affects the response of CD4 T immune cells.

In collaboration with Professor Oliver Fackler from the Department of Infectious Diseases, Integrative Virology at Heidelberg University Hospital, this demonstrated ProDOL's effectiveness in measuring the total and activated copy numbers of by counting both the total and active numbers of helper proteins in tiny signaling clusters of immune cells.

Additionally, Professor Ursula Klingmüller from the Division Systems Biology of Signal Transduction at the German Cancer Research Center (DKFZ) contributed to the design of the probes for live-cell applications, ensuring the technique's robustness and applicability in dynamic biological systems.

The study was funded by the Deutsche Forschungsgemeinschaft (DFG), the Centre of Membrane Proteins and Receptors (COMPARE), and the Academy of Medical Sciences, among others. The researchers express their gratitude to the various institutions and facilities that supported the project.

Source:
Journal reference:

Tashev, S. A., et al. (2024). ProDOL: a general method to determine the degree of labeling for staining optimization and molecular counting. Nature Methods. doi.org/10.1038/s41592-024-02376-6.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Reimagining axons with the pearls-on-a-string model