Overview of the sg-vnex datasets and processing pipeline. Credit: Nature Methods (2025). Doi: 10.1038/s41592-025-02623-4
A team of scientists LED by the a*star genome institute of Singapore (a*star gis) have released one of the world’s largest and most comprehensive long-rescing datasets, Addresi Bottleneck in Disease Research.
With over 750 million long RNA Reads Across 14 Human Cell Lines, The Singapore Nanopore Expression (SG-Nex) Dataset is designed to help researchrs decode Groundwork for Next-Generation Diagnostics and Therapies. The study was published in Nature Methods in March 2025.
Unlocking the full picture of rna
Despite being the backbone of modern transcriptomics, traditional short-read rna sequencing often fails to capture full-length rna molecules and complex variations, such as splaking patterns, fusion Transcripts, and Specific Chemical Modifications that Influence Disease Progression like Cancer. This limits its utility in detecting clinically relevant biomarkers.
SG-NEX overomes these limitations using long-red-read rna sequencing, which enables the full sequence structure of rna to be observed directly. This offers Deeper Biological Insights While ReduCing Analytical Blind Spots, which are key steps in discovering new biomarkers and developing better, more priority treatments.
“Imagine you have a book where Each page is torn into fragments,” Said Chen Ying, Senior Scientist at a*Star GIS. “That is what happy with short-red rna sequencing, which forces you to reconstruct the story from scattered sentences.
“In contrast, long-red rna sequencing enables you to read the book using complete pages or even chapters at Once. Diseases. “
As the Life Sciences Industry Doubles Down on Precision Medicine, Researchers and Biotech Companies Need Reliable, High-Resolution tools to Pinpoint NEW DISEASE MAREKESE MAREKERES AND MARKEES and Therapeic Targetic Targets.
SG-NEX was purpose-built to fill this gap with its open-process dataset and benchmarking resources, allowing the industry to better analyze different forms of ganes (KNOWN AS ISFORMIDING) and Providing a Critical Foundation for Academic and Translational Research in Human Diseases, Biotech and Pharma Companies Developing RNA-Based Diagnostics or Therapeutics, Tool Developers and Bioinformatics TEMS CORETING Next-Gen RNA Analysis Platforms, and Health Care Systems and PolicyMakers Investing in Genomic Precision Strategies.
Driving innovation through collaboration for global impact
Started in 2018, The SG-NEX is the Result of Close Collection with Experts from a*Star GIS, Duke-Nus Medical School, The National Cancer Center Singapore, Cancer Science Institute of Singapore, The Nuralgies UNIVERSITY Cancer Institute of Singapore, The Walter and Eliza Hall Institute of Medical Research, The Garvan Institute of Medical Research and Peter Maccallum Center.
“From the start, we designed the sg-nex project with a rapid open access data release strategy to maximize its utility. Develop and Test New RNA Profiling Methods. Dr. Jonathan Göke, Senior Principal Scientist at a*Star Gis.
Shaping the future of rna research
The sg-nex team is now working to further amplife its impact by developing ai-power Protocols, which are key enablers for clinical adoption.
Dr. Wan Yue, Executive Director, A*Star GIS, Said, “By Combining Large-Scale Data Generation, Rigorous Benchmarking, and Open-CACESS Infrastructure, SG-NEX is shaping the future of RSE Us closer to understand how RNA Influences Health and Disease, And how we can harness that knowledge to know to improve lives. “
More information:
Ying Chen Et Al, A Systematic Benchmark of Nanopore long-red rna sequencing for transcript-level analysis in human cell lines, Nature Methods (2025). Doi: 10.1038/s41592-025-02623-4
Citation: Long-read rna dataset offers 750 million reads Across 14 Human Cell Lines for Disease Study (2025, April 23) Retrieved 24 April 2025 from
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