Evaluation of Advanced Precursor Determination for Tandem Mass Tag (TMT)-Based Quantitative Proteomics across Instrument Platforms.
Samuel A MyersSusan KlaegerShankha SatpathyRosa VinerJae ChoiJohn RogersKarl ClauserNamrata D UdeshiSteven A CarrPublished in: Journal of proteome research (2018)
Tandem mass tag (TMT)-based quantitation is a strong modality for quantitative proteomics, as samples can be multiplexed, creating large-scale data sets with high precision and minimal missing values. However, coisolation/cofragmentation of near isobaric, coeluting precursor peptide analytes has been well-documented to show ratio compression, compromising the accuracy of peptide/protein quantitation. Advanced peak determination (APD) is a new peak-picking algorithm that shows improved identification of peak detection in survey scans (MS1) to increase the number of precursors selected for unimolecular dissociation (MS2). To increase the number of these "features" selected for MS2 APD purposefully selects multiple peptide precursors of very similar m/ z that often derive from different proteins-a major source of ratio compression in TMT quantification. Here, we evaluate the effects of various data acquisition parameters combined with APD on ratio compression. We find that data acquisition with APD enabled results in more coisolated precursors, more mixed spectra, and in turn, fewer peptide spectral matches, especially at standard on-column loads. We conclude that APD should not be utilized for isobaric tagging, MS2-based experiments.
Keyphrases
- mass spectrometry
- ms ms
- liquid chromatography
- solid phase extraction
- high resolution
- multiple sclerosis
- high performance liquid chromatography
- big data
- liquid chromatography tandem mass spectrometry
- label free
- machine learning
- computed tomography
- deep learning
- molecularly imprinted
- small molecule
- magnetic resonance imaging
- fluorescent probe
- patient reported outcomes
- density functional theory
- binding protein
- single molecule