Spectronaut Archives - Page 2 of 6 - Biognosys

Presenter: Lukas Reiter
Date: November 7

The poster discusses how plasma samples were measured using Biognosys’ TrueDiscovery workflow. Due to the particular protein abundance distribution in human plasma substantial improvements in proteome depth could be achieved allowing to profile more than 4000 proteins using a single shot mass spectrometry workflow.

Presenter: An-phi Nguyen

Date: Tuesday, Sep 19, 2023, 11:45 AM – 1:00 PM
Session: PP01

Poster WP 014 presented at ASMS 2022

Presenter: Dariush Mollet
Session: Artificial Intelligence in MS Instrumentation and Applications
Date: Wednesday, June 8

This poster delves into the ULTRA-DEEP EXPLORATION OF HUMAN TISSUE PROTEOMES, where 20025 protein groups were identified across all 22 tissue samples (19 healthy and 3 cancer). The poster concludes that the qualitative human tissue digital proteome serves as a rich resource that can be mined for various applications such as basal protein expression, different proteoforms, PTMs etc.

 

Presenter: Damiano Robbiani

Date: Thursday, June 8
Topic area: Data-Independent Acquisition II

E-Poster 1374/5 presented at AACR 2022

Presenter: Marco Tognetti
Session: PO.IM01.05 – Tumor Antigens, Antigen Presentation, and Tumor Immunity
Date: April 11

In this webinar, Andreas-David Brunner presents a robust and scalable single-cell DIA proteomics workflow using ion mobility technology (dia-PASEF), developed at the Max Planck Institute of Biochemistry (Matthias Mann Lab). The team quantified up to 1,500 proteins in a drug perturbation experiment using Spectronaut – the gold standard software for DIA proteomics. In a second step, they compared single-cell proteomics data to publicly available single-cell RNA-sequencing data, revealing fundamental differences in regulation between the two modalities.

At this event, Biognosys launches the much-awaited Spectronaut 15. The latest version of the software comes with many novel and improved applications. Oliver M. Bernhardt, the lead developer of Spectronaut, shows you how to take advantage of some exciting new features.

Bruderer R, Bernhardt OM, Gandhi T, Miladinović SM, Cheng L, Messner S, Ehrenberger T, Zanotelli V, Butscheid Y, Escher C, Vitek O, Rinner O, Reiter L. MCP.

In this work, Biognosys and collaborators compared proteome coverage and quantification performance of the emerging DIA/SWATH method against the long-established shotgun DDA. The hyper reaction monitoring (HRM) workflow presented in this work combined DIA acquisition and retention-time-normalized (iRT) spectral libraries for targeted data extraction using Spectronaut. HRM showed higher precision, accuracy and less missing values compared to DDA and was proposed for large-scale quantitative proteome profiling.

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