Toward robust and reproducible single cell proteomics?

Talk by Ben Orsburn, Assistant Professor at the University of Pittsburgh’s Organ Pathobiology and Therapeutics Institute

Single cell proteomics has captured the imagination of a range of biologists and clinicians who are pushing, or have found, the limits of other single cell technologies. Mass spectrometrists are now under pressure to deliver routine and reproducible data from hundreds or thousands of isolated single cells. In this talk I will describe both our label free and labeled single cell workflows which are enabled in part by large scale sample cleanup and standardized methods using EvoSep technologies. I’ll describe workflows where label free methods are used when proteomic depth is paramount and multiple examples of exceeding 5,000 proteins per human cell. When leveraging multiplexing, we exchange proteomic depth for the ability to analyze 700 cells/day after blank and control wells through on-tip pooling and cleanup of samples.