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● Sample preparation:● Liquid phase method: ● Mass spectrometry method:● Data processing:
Comparison of Zeno DDA and Zeno SWATH DIA in protein identification
Figure 4.
Zeno SWATH IDA data used the Library-free method
and the database method to identify overlapping proteins
Figure 5.
Comparison of liquid phase gradients, protein and peptide identification quantities
at 10 min and 45 minLiterature:
[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.
[2] Rosenberger G et al (2014) A repository of assays to quantify 10,000 human proteins by SWATH-MS.
Scientific data.
1, 140031.
The main result
Comparison of Zeno DDA and Zeno SWATH DIA in protein identification
Figure 1.
Zeno SWATH DIA
and Zeno DDA protein and peptide identification comparison results at a 45min liquid phase gradient
Zeno SWATH DIA
and Zeno DDA protein and peptide identification comparison results at a 45min liquid phase gradient
Note: The figure on the left is the protein identification result, and the right picture is the peptide identification result
Figure 2.
Zeno SWATH DIA and Zeno DDA identify
overlap of proteins
Zeno SWATH DIA and Zeno DDA identify
overlap of proteins
2.
Comparison of Zeno SWATH DIA data processing strategies using Library-free
and sample spectral library processing strategies
Comparison of Zeno SWATH DIA data processing strategies using Library-free
and sample spectral library processing strategies
Figure 3.
Comparison of the results of the identified proteins obtained from the Library-free strategy and the 2 experimental database strategies
Comparison of the results of the identified proteins obtained from the Library-free strategy and the 2 experimental database strategies
Figure 4.
Zeno SWATH IDA data used the Library-free method
and the database method to identify overlapping proteins
3.
Use a faster liquid phase gradient
Use a faster liquid phase gradient
Figure 5.
Comparison of liquid phase gradients, protein and peptide identification quantities
at 10 min and 45 min
[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.
[2] Rosenberger G et al (2014) A repository of assays to quantify 10,000 human proteins by SWATH-MS.
Scientific data.
1, 140031.