Democratizing RNA sequencing: A breakthrough in cost and efficiency

CSEM has supported the Lausanne-based start-up Alithea Genomics in developing a technology capable of processing hundreds of ribonucleic acid (RNA) samples in a single tube, which translates to a significant reduction in reagents and manual effort in the overall workflow.

Over the past decade, RNA sequencing (RNA-seq) has become increasingly popular in genomics and therapeutic drug testing. RNA-seq examines gene expression in the entire genome, providing a complete and unbiased gene expression readout. RNA-seq can help us understand the biology of living things. However, despite the method’s potential, at present there is a lack of large-scale and cost-efficient sample preparation for RNA-seq, which has so far prevented this method’s widespread adoption by industry professionals.

BRB-seq technology helps advance our understanding of biological processes

To overcome the high expense of routine sample preparation for RNA-seq operations, the Laboratory of Systems Biology and Genetics at EPFL and its spin-off company Alithea Genomics have developed "Bulk RNA Barcoding and sequencing” (BRB-seq) technology. It allows researchers to analyze the gene expression of cells, which can help them understand how cells function and respond to different conditions. The method relies on early-stage molecular barcoding to tag the different samples, enabling them to be processed together for bulk sequencing RNA. Aiming at medium to high-throughput, samples are processed in 96 or 384 multi-well plates before being collected into a single tube.

Simple and effective systems based on CSEM’s Smart Lid platform

In the framework of Bridge and Innosuisse projects, Alithea Genomics and CSEM’s Tools for Life Sciences team developed a technology to automate the collection of all samples from the multi-well plates into a single tube. Their solution, called Microfluidic Pooling Lid, is based on CSEM’s Smart Lid platform, which integrates microfluidic channels and can accommodate different, standard microwell plate formats. Connected by a pump in a standalone platform, the lid can transfer the liquids from the wells via vacuum extraction into a single tube. This allows the potential processing of hundreds to thousands of wells in one go. The final design can pool over 90% of the contents of up to four 96-well plates in under two minutes.

Thanks to its compact nature and great potential for upscaling, this simple but effective system is ideally suited for research laboratories operating in a limited physical space. The medium-throughput system relies on disposable labware and was tested in stacked conditions, increasing the amount of RNA that can be processed with the same time and footprint. Validated by EPFL for RNA-seq sample processing, it shows the same performance as manual handling while improving time efficiency.

“The easy-to-use barcoding kit and simple pooling of all samples significantly reduce RNA sequencing cost per sample. We anticipate that these technologies will reach the intended market within the next five years, enabling big data RNA processing for drug discovery,” underlines Stéphanie Boder-Pasche, Senior Project Manager at CSEM.

Making biobank analysis and drug screening efforts more efficient

“The market need for pooling technology will be driven by the adoption of the BRB-seq technology by big pharma and R&D players,” explains Dr. Riccardo Dainese, CEO of Alithea Genomics. “Our BRB-seq patented method significantly lowers expenses while boosting RNA-seq throughput. The technology allows to perform tasks that were previously impossible due to cost and labor constraints.”

Applications from single-cell analysis to diagnostics

The assessment of gene activity in biological samples, such as transcriptome analysis, gene expression profiling, novel transcript identification, and mutations in cancer research, among others, holds significant potential for the discovery and development of novel drugs and diagnostics.

This collaboration has enabled us to serve the field of high-throughput genomics and push our Smart Lid technology further. The variety of smart lids formats and functions is promoting them as enabling technologies for the life sciences industry. This know-how, combined with our expertise in AI for life sciences and biosystems engineering in the Switzerland Innovation Park Basel Area in Allschwil, allows us to provide interdisciplinary solutions for life sciences applications.”

Gilles Weder, Co-Head Research & Business Development Life Science Technologies, CSEM.

Source:

Citations

Please use one of the following formats to cite this article in your essay, paper or report:

  • APA

    CSEM. (2023, May 17). Democratizing RNA sequencing: A breakthrough in cost and efficiency. News-Medical. Retrieved on December 22, 2024 from https://www.news-medical.net/news/20230517/Democratizing-RNA-sequencing-A-breakthrough-in-cost-and-efficiency.aspx.

  • MLA

    CSEM. "Democratizing RNA sequencing: A breakthrough in cost and efficiency". News-Medical. 22 December 2024. <https://www.news-medical.net/news/20230517/Democratizing-RNA-sequencing-A-breakthrough-in-cost-and-efficiency.aspx>.

  • Chicago

    CSEM. "Democratizing RNA sequencing: A breakthrough in cost and efficiency". News-Medical. https://www.news-medical.net/news/20230517/Democratizing-RNA-sequencing-A-breakthrough-in-cost-and-efficiency.aspx. (accessed December 22, 2024).

  • Harvard

    CSEM. 2023. Democratizing RNA sequencing: A breakthrough in cost and efficiency. News-Medical, viewed 22 December 2024, https://www.news-medical.net/news/20230517/Democratizing-RNA-sequencing-A-breakthrough-in-cost-and-efficiency.aspx.

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.