Proteomics

Dataset Information

Multiplexed Quantitative Analyses Using Data-Dependent Acquisition Without Dynamic Exclusion for trace sample analysis


ABSTRACT: In this project, we applied our recently developed turboDDA method in the analysis of low amount of sample and iTRAQ labeled trace sample. Compared with standard data-ependent acquisition approach with dynamic exclusion, we detected improvment in spectral purity and quantification accuracy.

INSTRUMENT(S):

ORGANISM(S): Homo Sapiens (human) Escherichia Coli Saccharomyces Cerevisiae (baker's Yeast)

SUBMITTER: Ci Wu  

LAB HEAD: Shen Zhang

PROVIDER: PXD042252 | Pride | 2024-01-26

REPOSITORIES: Pride