BIG N2N seminar by Maarten Dhaenens: Data analysis in quantitative proteomics: framing a fuzzy picture of mass spectrometry

Nov
26
Nov/26 11:00 - Nov/26 12:00
J Schell seminar room UGent-VIB Research Building FSVM Technologiepark 927 9052 Zwijnaarde (Gent)

Dr. Maarten Dhaenens
BIG N2N Laboratory for Pharmaceutical Biotechnology, Ghent University

When: 
Thursday, November 26, 2015 - 11:00 to 12:00
Where: 

J Schell seminar room
UGent-VIB Research Building FSVM
Technologiepark 927
9052 Zwijnaarde (Gent)

Commercial software tools are sold with a strong emphasis on user-friendliness, i.e. simplicity, giving rise to the impression that proteomics data is well understood. Yet the ion path that peptides travel through a mass spectrometer (an ESI-QTOF in this lecture) immediately provokes thought on just how a computer algorithm can cope with the complexity of the physical reality, which is reflected in the recorded data. Proteomics data still is over 50% of uninterpretable signals, with the other 50% prone to a lot of misinterpretation both at the level of identification and quantification. While many are still struggling to extract increasing amounts of information from the most commonly used “data-directed acquisition” strategy (DDA), mass spectrometry manufacturers have already developed instruments that measure the sample in a “data-independent” manner (DIA), meaning “everything” that elutes from the LC-system is being recorded. No doubt, this will form the basis for a paradigm shift in proteomics data analysis, but sharpening the picture on DDA data will nevertheless remain an essential effort in the time to come.

See the entire BIG N2N seminar series programme here

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