Advances in robust and single-cell level sensitivity proteomics methodologies based on LC-MS have made it possible to move away from bulk samples which blur spatial information that is critical in obtaining a systems-level understanding of the specimen.
This single-cell level of sensitivity has been extended to proteome mapping using a "voxelation" approach that can enable the quantitative mapping of >2000 proteins with 100-µm spatial resolution across 12-µm thick tissue sections using a label-free quantitation approach. In addition, incorporating tandem mass tags (TMT) labeling with this workflow can improve analysis throughput, increase overall sensitivity, and enable MS imaging at 50-µm spatial resolution without compromising proteome coverage.
In this webcast, Dr. Kristin Burnum-Johnson will demonstrate high-resolution and in-depth proteome imaging using an automated workflow.
You will learn
- How to optimize and automate sample preparation for low level samples
- How to run large sample sets with high quality data for proteome mapping
- How to quantify thousands of proteins in low level samples
- How to perform bottom-up (LC-MS/MS) proteomic imaging on thin tissue sections