Single cell multi-Omics selected as Method of the Year 2019 by Nature Methods
Innovative AI-driven genomic and proteomic analysis platform for improving cell therapy and immuno-oncology
06 January 2020 - Nature Methods announced that single cell multimodal omics was selected as Method of the Year 2019. It specially recognizes the recent advance in single cell analysis technology, where multiple types of measurement can simultaneous be made on single cells in the same experiment.
Single cell analysis is a powerful tool that profiles each individual cells in depth. It promises to transform scientific research and medical treatment. Cancer, for example, often starts with subtle changes in one or a small group of cells. Even within the same patient, different tumour cells may show different characteristics and therefore different drug responses. Single cell analysis allows scientist and clinicians to look into this heterogeneity and develop targeted therapy.
Now, by combining different readouts, such as RNA and protein expression, single cell analysis can provide greater value than the sum of the parts. The Nature Method article also pointed out that development and adoption of single cell multi-omics will generate rich datasets, which will require more sophisticated data analysis tools to fully decipher the information.
This is not the first time that single cell analysis is featured by top scientific journals. In 2013, Single cell DNA and RNA sequencing was selected as the Method of the Year by Nature Methods, where the research community started to widely adopt single cell sequencing techniques in order to gain deeper insight into the heterogeneity of biology.
In 2018, development cell by cell using single cell RNA sequencing was selected as the Breakthrough of the Year 2018 by Science Magazine. Single cell RNAseq enables scientists to track individual cells in development and disease, and to understand their interaction.
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Dr. Andreas Schmidt
Proteona is a precision medicine company in Singapore, Germany, and the US that is pioneering the use of single cell multi-omics to improve clinical outcomes in cancer. Using a combination of innovative single cell assays and AI-assisted bioinformatics, Proteona enables pharmaceutical companies, biotech partners, and clinicians to integrate single cell level precision into their clinical projects. Proteona continues to develop comprehensive, disease-specific single cell databases combining gene expression, protein expression, and mutation information derived from each individual cells as well as drug response data for each sample. Proteona has been selected as a “One to Watch” by Nature Research Spinoff Award and a Winner of Falling Walls Ventures Breakthrough of the Year 2020. Proteona is a spin-off from the National University of Singapore (NUS) and the Agency for Science, Technology and Research (A*STAR).