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sample preparation liquid phase method mass spectrometry method data processing
1.
Evaluation of the gain factor of Zeno SWATH DIA at low sample volume
Figure 2.
Zeno SWATH IDA mode for protein quantification
2.
Evaluation of Fast Liquid Gradient Results
Figure 3.
Comparison of injection volume curves of different liquid phase gradient lengths
Figure 4.
Variance distribution of protein quantification during 20 min liquid phase gradient
Literature:
[1] Demichev V et al.
(2019) DIA-NN: neural networks and interference correction enable deep proteome coverage in high throughput.
Nature Methods, 17, 41-44.
Main results
1.
Evaluation of the gain factor of Zeno SWATH DIA at low sample volume
Figure 1.
45 min gradient with Zeno trap mode on and off
45 min gradient with Zeno trap mode on and off
The relationship between the number of protein quantification and peptide quantification and the injection volume
Note: The picture on the left is for protein, and the picture on the right is for peptide
Figure 2.
Zeno SWATH IDA mode for protein quantification
and the gain multiple of the number of peptides
Note: The circle represents the number of quantitative proteins, and the diamond represents the number of quantitative peptides
2.
Evaluation of Fast Liquid Gradient Results
Figure 3.
Comparison of injection volume curves of different liquid phase gradient lengths
Figure 4.
Variance distribution of protein quantification during 20 min liquid phase gradient
Literature:
[1] Demichev V et al.
(2019) DIA-NN: neural networks and interference correction enable deep proteome coverage in high throughput.
Nature Methods, 17, 41-44.
