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Corporate Workshop

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ShinKwon Kang
Code / Date
CW-1 / March 29 (Thu) 11:30-12:40
Speaker
ShinKwon Kang
Affiliation
Application Manager, Bruker Daltonics Korea
Title
The timsTOF Pro with PASEF: Digging deeper into the proteome with record-breaking speed, sensitivity and robustness.
Abstract

Proteomics researchers require mass spectrometers with increased speed and sensitivity to address the complex mixture of peptides eluting from nano-flow LC columns in data dependent shotgun proteomics workflows. The previously introduced “Parallel Accumulation Serial Fragmentation” method (PASEF, Meier et al., JPR 2015, PMID: 26538118) for trapped ion mobility spectrometry (TIMS) quadrupole time of flight (QTOF) instruments, enabled five to ten times faster data dependent acquisition of fragment ion spectra. The potential demonstrated in 2015 has now been achieved, along with even more impressive gains in sensitivity due to the 100% duty cycle, and focusing of the ions in time and space, provided by the PASEF method. In this talk, the principles of TIMS and the PASEF method, and how they enable a simultaneous gain in speed and sensitivity, at the same time, will be explained. The speed of the PASEF method is only compatible with a very fast scanning instrument such as a Q-TOF, and it will be shown how this combination results in full sensitivity resolution (FSR) with resolving power of 50,000 FWHM (at m/z 1222) for both MS and MS/MS data, with low ppm mass accuracy and true isotopic patterns (TIP) all at MS/MS acquisition rates in excess of 100 Hz. The benefits of the PASEF method for identifying more proteins in less time and with less sample in data-dependent shotgun proteomics experiments will be demonstrated.

 

JinNyoung Choi
Code / Date
CW 1-2 / March 29 (Thu) 11:30-12:40
Speaker
JinNyoung Choi
Affiliation
Application Chemist, Bruker Daltonics Korea
Title
Improvements in Mass Spectrometry Imaging for the Molecular Analysis of FFPE Tissue Sections
Abstract

Mass spectrometry imaging (MSI) is a label-free technique allowing direct measurements of molecular distributions of tissues in their native histological context. The acquired data can also be used for spatial segmentation or classification, offering the possibility of assessing phenotypic heterogeneity. Although formalin-fixed paraffin-embedded (FFPE) tissues are the principal samples generated in clinical and research situations, MALDI MSI of FFPE tissue with high spatial resolution and reproducibility has been limited.
We have developed improvements of sample preparation for MALDI MSI leading to increased data quality, as demonstrated on mouse brain and human lung cancer sections, with a focus on spatial segmentation based on mass spectrometry molecular phenotypes.

 

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