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Hidden traces – Using chimeric spectra to boost protein identification rates
The field of mass spectrometry has advanced tremendously over the last decade on both the hardware as well as the software side. Nevertheless, we still do not use the full capacity of the acquired proteomic data and several layers of information get lost in typical label-free quantification data-dependent acquisition proteomic datasets. A major source of this information loss is the presence of chimeric spectra, which contain fragment ions from multiple peptides, and the inability to fully interpret them.
In this webinar, we explore how the CHIMERYS intelligent search algorithm gives us a handle to elucidate the hidden traces within chimeric spectra. We’ll also discuss how CHIMERYS increases instrument efficiency and protein identification rates through deconvolution of chimeric spectra, enabling new data acquisition strategies with wide-window acquisition.
Watch this webinar to:
- Learn how to interpret proteomics data from mass spectrometers more fully
- Understand how CHIMERYS elucidates chimeric spectra
- Deploy new wide-window acquisition methods to increase instrument efficiency for proteomics
About the presenter
Johanna Tüshaus Ph.D., Postdoctoral Researcher, Technical University Munich
Johanna obtained her master’s degree from TU Darmstadt in biochemistry. Followed by her Ph.D. with a focus on proteomic method development and Alzheimer´s disease in the laboratory of Stefan Lichtenthaler at DZNE, Munich and Carl Blobel at Weill Cornell Medicine, New York City. My PhD was supported by the Boehringer Ingelheim Fonds (BIF) fellowship and my work was honored with the PhD prize of the DGPF (Deutsche Gesellschaft für Proteomforschung). She is now a postdoctoral researcher at the laboratory of Bernhard Kuster at TU Munich in the framework of the CLINSPECT-M consortium.
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