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Dig deeper and faster into the proteome
Mass spectrometry (MS)-based proteomics has become a powerful technology for the identification and quantification of thousands of proteins. However, the coverage of complete proteomes is still very challenging due to the limited speed, sensitivity and resolution of current mass spectrometers.
The timsTOF Pro uses the Parallel Accumulation Serial Fragmentation (PASEF) acquisition method to provide extremely high speed and sensitivity to reach new depths in shotgun proteomics and phosphoproteomics, using low sample amounts.
Achieve near 100% duty cycle for shotgun proteomics
A near 100% duty cycle for high sensitivity, high speed shotgun proteomics can now be achieved with the dual TIMS technology. The novel design allows for ions to be accumulated in the front section, while ions in the rear section are sequentially released depending on their ion mobility. This process is called Parallel Accumulation Serial Fragmentation, or PASEF.
PASEF: the perfect fit for shotgun proteomics
The timsTOF Pro powered by PASEF offers sequencing speed > 100 Hz without losing sensitivity or resolution. This is achieved by synchronizing the quadrupole isolation mass window with the elution time of the specific peptide packages from the TIMS funnel.
Benefit from superior robustness
The new orthogonal design of the ion optics allows for a formerly unachievable level of robustness: shotgun proteomics performance is now uncompromised over large sample cohorts, as required for proteomics in clinical research.
Digging into the 4th dimension: MaxQuant/Perseus and PEAKS Studio enabled data processing
An open-file data format allows researchers to work directly with the raw data and use industry leading software. MaxQuant has been adapted to manage 4-dimensional features in the space spanned by retention time, ion mobility, mass, and signal intensity which benefit the identification and quantification of peptides, proteins, and posttranslational modifications. PEAKS Studio combines de novo sequencing with tradtional databbase searches and is optimized for processing timsTOF raw data.