Optimizing single cell proteomics using trapped ion mobility spectrometry for label-free experiments.

ABSTRACT: Although single cell RNA-seq has had a tremendous impact on biological research, a corresponding technology for unbiased mass spectrometric analysis of single cells has only recently become available. Significant technological breakthroughs including miniaturized sample handling have enabled proteome profiling of single cells. Furthermore, trapped ion mobility spectrometry (TIMS) in combination with parallel accumulation-serial fragmentation operated in data-dependent acquisition mode (DDA-PASEF) allowed improved proteome coverage from low-input samples. It has been demonstrated that modulating the ion flux in TIMS affects the overall performance of proteome profiling. However, the effect of TIMS settings on the analysis of low-input samples has been less investigated. Thus, we sought to o

SUBMITTER: Mun DG 

PROVIDER: S-EPMC10370902 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature