Our research centers on developing VR-Omics, an advanced software designed to streamline spatial transcriptomics analysis. We aim to empower researchers, even those without computational backgrounds, to effectively visualise and interpret spatial gene expression data. In this example, we spotlight mouse brain slides gained through Vizgen Merfish technology. However, VR-Omics is a versatile tool that accommodates various sample types. The software bridges the gap between intricate datasets and attainable insights, reshaping the way researchers interact with their data.
With VR-Omics, researchers can navigate through spatial gene expression patterns in an intuitive virtual environment or use it as a desktop application. This software has the potential to accelerate discoveries by enabling users to identify clusters, correlations, and potential markers without the need for extensive computational expertise. As spatial transcriptomics gains traction across the reNEW groups, VR-Omics stands as a catalyst for enhancing the quality and efficiency of data analysis.
The VR-Omics software is complete and continually evolving. We regularly update workflows and incorporate new spatial transcriptomic technologies to ensure researchers have access to the latest tools for analysis and visualisation.
Future Research Direction: We are currently planning an experimental design to explore the development of dilated cardiomyopathy in the mouse heart at different timepoints. Our aim is to reveal molecular and structural differences between wildtype and diseased hearts, utilising VR-Omics to uncover insights into this cardiovascular disorder.
The image portrais the mouse brain receptor map obtained through Vizgen Merfish spatial transcriptomics technology. Utilizing VR-Omics for visualisation, this illustration vividly showcases gene expression clusters, each holding essential information about distinct brain regions. These clusters offer insights into the spatial arrangement of genes, shedding light on the intricate organisation of the brain’s functional components. VR-Omics empowers researchers to navigate, explore, and interpret these clusters, bridging the gap between raw data and meaningful understanding in the realm of spatial transcriptomics.
Denis Bienroth, Mirana Ramialison’s Lab, (Transcriptomics & Bioinformatics) MCRI, reNEW Melbourne