Proteomics

Dataset Information

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Comparision of Nano and Micro-flow LC-MS/MS Based Single Shot Proteomics


ABSTRACT: In this study, we systematically optimized the micro-flow LC-MS/MS system based ssDDA proteomics. Our results show that combination of 2 – 3 h gradient with prosit rescore method identified the highest number of proteins and peptides. There is no benefit to increase column length. A single 3 h run identified about 9,200 proteins from 50 µg of Arabidopsis protein digest. The micro-flow LC-MS/MS system based ssDDA proteomics can be widely used for routine proteomics analysis of large cohort samples. We compared our micro data with the state of art nano LC data.

INSTRUMENT(S): Orbitrap Fusion Lumos

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Cell Culture

SUBMITTER: Yangyang Bian  

LAB HEAD: Bernhard Kuster

PROVIDER: PXD024169 | Pride | 2021-07-01

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
14mar2018_CVcount_120min_1.raw Raw
14mar2018_CVcount_120min_2.raw Raw
14mar2018_CVcount_120min_2_FS_CV50.raw Raw
14mar2018_CVcount_120min_2_FS_CV70_1.raw Raw
14mar2018_CVcount_120min_3.raw Raw
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Publications


Liquid chromatography (LC) prefractionation is often implemented to increase proteomic coverage; however, while effective, this approach is laborious, requires considerable sample amount, and can be cumbersome. We describe how interfacing a recently described high-field asymmetric waveform ion mobility spectrometry (FAIMS) device between a nanoelectrospray ionization (nanoESI) emitter and an Orbitrap hybrid mass spectrometer (MS) enables the collection of single-shot proteomic data with comparab  ...[more]

Publication: 1/2

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