diaPASEF: label-free quantification of highly complex proteomes
Data-independent acquisition (DIA) promises reproducible and accurate protein quantification across large sample cohorts. In collaboration with groups at the ETH IMSB in Zurich, the Max Planck Institute in Martinsried, and the University of Toronto, we have previously combined the advantages of DIA with the inherent efficiency of PASEF (Parallel Accumulation Serial Fragmentation) to create a new acquisition mode, called diaPASEF.
In this application note, we apply diaPASEF for label-free quantification of a set of samples consisting of a mixture of three proteomes (digests of HeLa, Yeast, E. coli) each to investigate its potential for the in-depth analysis of complex proteomics samples.
In this application note, we apply diaPASEF for label-free quantification of a set of samples consisting of a mixture of three proteomes (digests of HeLa, Yeast, E. coli) each to investigate its potential for the in-depth analysis of complex proteomics samples.
