Lecture
Recent Advances in Spatial and Single Cell Proteomics
- at -
- ICM Saal 2
- Type: Lecture
Lecture description
RT. Kelly, USA, C. Wang, H-JL. Lin, USA, S. Huang, USA, X. Sanchez-Avila, USA, E. Norton, USA, G. Haynie, USA, K. Triggs, USA
While single-cell proteomics (SCP) offers tremendous potential for advancing biomedical research, it can be quite difficult to obtain high-quality data. In addition, the typical low measurement throughput results in a high analysis cost. To address these challenges, we have simplified the workflow for label-free SCP to a single reagent dispensing step such that a well plate of single cells can be fully prepared within an hour, and many thousands of cells can be prepared each day. We have also increased the measurement throughput using a two-column nanoflow liquid chromatography platform. This system allows one column to elute peptides while the other undergoes required steps of column washing and regeneration, etc. Finally, we have developed open-access software to facilitate rapid and fully automated data analysis and visualization. Together, these advances provide low-cost, high-throughput and in-depth proteome profiling at the single-cell level. We aim to extend these capabilities to all biological samples, ultimately enabling any proteome to be profiled for just 10 USD.
While single-cell proteomics (SCP) offers tremendous potential for advancing biomedical research, it can be quite difficult to obtain high-quality data. In addition, the typical low measurement throughput results in a high analysis cost. To address these challenges, we have simplified the workflow for label-free SCP to a single reagent dispensing step such that a well plate of single cells can be fully prepared within an hour, and many thousands of cells can be prepared each day. We have also increased the measurement throughput using a two-column nanoflow liquid chromatography platform. This system allows one column to elute peptides while the other undergoes required steps of column washing and regeneration, etc. Finally, we have developed open-access software to facilitate rapid and fully automated data analysis and visualization. Together, these advances provide low-cost, high-throughput and in-depth proteome profiling at the single-cell level. We aim to extend these capabilities to all biological samples, ultimately enabling any proteome to be profiled for just 10 USD.
