New Extraction Protocol Offers a More Comprehensive Picture of Cellular Activity

Researchers at the Van Andel Institute have created a new extraction protocol for RNA-seq and metabolomic analysis that provides a more comprehensive picture of cellular activity than either technique alone.

New Extraction Protocol Offers a More Comprehensive Picture of Cellular Activity

Image Credit: Madaj, Z., et al. (2023), RNA Biology.

The protocol uses a simplified extraction from a single sample, which lowers variation, improves efficiency, maintains data fidelity, and maximizes the utilization of valuable biospecimens.

Our new technique enables researchers to study metabolic phenotypes in a unique way while getting the most information we can out of single samples. The most important takeaway is there is no loss of information by using our new, more efficient protocol.”

Ryan Sheldon PhD, Director, Mass Spectrometry Core, Van Andel Institute

Till now, researchers had to use two different sample extraction methods: one for RNA-seq and another for metabolomics. This method necessitates the collection of many samples or the division of a single sample into subsamples, which increases variation and has an undetermined impact on data interpretation.

The existing workflow can also make multi-omics techniques difficult, particularly in unusual sample types; the extraction process destroys the sample, precluding further analysis.

To validate the protocol, the study team compared standard extraction findings to innovative approach outcomes. The results demonstrated that the new protocol kept data quality while saving time and resources.

The new protocol was published in RNA Biology. Scientists from VAI’s Core Technologies and Services and the Department of Metabolism and Nutritional Programming developed the protocol. Core Technologies and Services offers state-of-the-art technologies and expertise to Institute researchers and associates.

Our new strategy offers an important proof-of-concept for future efforts to incorporate additional -omics approaches, with the goal of creating a singular extraction pipeline for RNA-seq, metabolomics, proteomics, transcriptomics, and others. This work would not have been possible without the exceptional Core Technologies and Services team here at VAI and the Institute’s commitment to collaboration and rigorous science.”

Ryan Sheldon PhD, Director, Mass Spectrometry Core, Van Andel Institute

Source:
Journal reference:

Madaj, Z., et al. (2023). Prior metabolite extraction fully preserves RNAseq quality and enables integrative multi-‘omics analysis of the liver metabolic response to viral infection. RNA Biology. doi.org/10.1080/15476286.2023.2204586.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of AZoLifeSciences.
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...
Lunaphore and Acd Revolutionize Spatial Biology Research With the Launch of the First Fully Automated, Same-Section, Hyperplex Multiomics Application