We've updated our Privacy Policy to make it clearer how we use your personal data.
We use cookies to provide you with a better experience, read our Cookie Policy
EP30382
Abstract: The search for new and validated biomarkers is of particular interest in clinical areas like oncology1,2 or neurology3. As lipids play an important role in many diseases, the area of lipidomics has become central for clinical research. While there is a more in-depth oriented approach to ID as many lipids as possible, clinically-oriented projects often demand a high-throughput for large sample cohorts. Therefore, a short cycle time per sample is necessary to realize research projects with hundreds or even thousands of samples in a reasonable time frame. In order to keep up with this, the analytical instrumentation needs to deliver a high data quality at high acquisition speeds. This is realized by the PASEF (Parallel Accumulation Serial Frag-mentation) acquisition mode on the timsTOF Pro system.4Summary: The potential of the PASEF acquisition mode to increase the sample throughput was demonstrated. The crucial ability to separate co-eluting isobaric compounds and to identify differences between sample groups was maintained. With this, PASEF is demonstrated to be an optimal acquisition mode for deep profiling applying longer LC gradient times as well as for projects with high turnover needs, e.g. in clinical metabolomics studies. References: (1) Röhrig, F., Schulze, A., Nat. Rev. Cancer 16, 732–749 (2016)
(2) Vriens, K. et al., Nature 566, 403–406 (2019)
(3) Yang, Q., Vijayakumar, A. & Kahn, B. B., Nat. Rev. Mol. Cell Biol. 19, 654–672 (2018)
(4) Meier, F. et al., J. Proteome Res. 14, 5378–5387 (2015)
(5) Shevchenko, A. et al., J. Lipid Res., 49, 1137-1146 (2008)
(6) https://fiehnlab.ucdavis.edu/projects/LipidBlast
(7) Bowden, J. A. et al., J. Lipid Res. 58, 2275–2288 (2017)
(2) Vriens, K. et al., Nature 566, 403–406 (2019)
(3) Yang, Q., Vijayakumar, A. & Kahn, B. B., Nat. Rev. Mol. Cell Biol. 19, 654–672 (2018)
(4) Meier, F. et al., J. Proteome Res. 14, 5378–5387 (2015)
(5) Shevchenko, A. et al., J. Lipid Res., 49, 1137-1146 (2008)
(6) https://fiehnlab.ucdavis.edu/projects/LipidBlast
(7) Bowden, J. A. et al., J. Lipid Res. 58, 2275–2288 (2017)
Ask the author a question about this poster.
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Related Posters
FXa Anticoagulant Bioactive Proteins Derived from Scorpion Venom
Meng Li,1 Yuko P. Y. Lam,1 Peng Chen,2 Remy Gavard,1 Cookson K. C. Chiu,1 Christopher A. Wootton,1 Tomos E. Morgan,1 Qiong Wu,2 Mark P. Barrow,1 Hongzheng Fu,2 Peter B. O’Connor1
The Inhibition Pathways of Human Islet Amyloid Polypeptide
Yuko P. Y. Lam1; Cookson K.C. Chiu1; Christopher A. Wootton1; Ji-Inn Song1; Meng Li1; Ian Hands-Portman2; Mark P. Barrow1; and Peter B. O'Connor1
2D FT0ICR MS/MS analysis of IgG1
Johanna Paris 1 , Tomos E. Morgan 1 , Yuko P. Y. Lam 1 Christopher A. Wootton 1 Mark André Delsuc 2 , Mark P. Barrow 1 , John O’Hara 3 , and Peter B. O’Connor 1
TMT Quantification for Shotgun Proteomics on a Trapped-Ion-Mobility quadrupole-Time-Of- Flight mass spectrometer (TIMS-QTOF) powered by Parallel-Accumulation and Serial- Fragmentation (PASEF)
Matt Willetts1, Shourjo Ghose1 Heiner Koch2, Scarlet Koch2, Markus Lubeck2, Gary Kruppa1
Applying Trapped Ion Mobility Separation (TIMS) in combination with Parallel Accumulation Serial Fragmentation (PASEF) for analysis of lipidomics samples
Sebastian Götz1, Sven W Meyer1,Ulrike Schweiger-Hufnagel1,Aiko Barsch1, Ningombam Sanjib Meitei2