RNA sequencing is a widely used technique in molecular biology that enables researchers to profile the expression levels of genes in a biological sample. However, the accurate interpretation of RNA-seq data can be challenging due to various biases that can arise during the process.
These biases can stem from the inherent characteristics of RNA molecules, such as their sequence composition and chemical modifications, as well as from technical factors related to the library preparation and sequencing methodologies. As a result, certain RNA sequences may be preferentially amplified or suppressed during the RNA-seq process, leading to inaccurate gene expression measurements.
To address this issue, researchers at UC San Diego developed ORION, an online platform that integrates data from multiple sources to provide a comprehensive understanding of RNA sequence biases. The tool allows users to explore the potential effects of these biases on gene expression patterns and to identify regions of the RNA sequence that are particularly susceptible to these biases.
The researchers demonstrated the utility of ORION by analyzing RNA-seq data from both healthy and cancer cells. They found that ORION could effectively identify regions of the RNA sequence that were biased due to mutations or changes in environmental conditions, thereby enabling a more accurate interpretation of the RNA-seq data.
Additionally, ORION can help researchers optimize their RNA-seq experimental design by suggesting RNA sequence regions that are less likely to be affected by biases, leading to more reliable and reproducible gene expression measurements.
Overall, the ORION portal provides a valuable resource for researchers studying gene expression using RNA-seq. The tool contributes to advancing our understanding of the impact of RNA sequence biases and allows for more accurate and reliable analysis of RNA-seq data.
