Poster 3920/16 presented at AACR 2022
Presenter: Marco Tognetti
Session: PO.CH03.01 – Proteomics, Signaling Networks, and Biomarker Discovery
Date: April 13
The fusion of trapped ion mobility spectrometry (TIMS) with parallel reaction monitoring (PRM), particularly through the prm-PASEF ® technique, is indeed a groundbreaking development in proteomics. This innovative approach leverages the parallel accumulation-serial fragmentation (PASEF) mode to synchronize ion release from TIMS with selective precursor isolation, reducing the noise in the peptide ion spectra without sacrificing sensitivity.
Authors: Domenico Mallardo, Christoph Messner, Mariaelena Capone, Jakob Vowinckel, Antonio Sorrentino, Karel Novy, Vito Vanella, Kristina Beeler, Sarah Warren, Paolo Ascierto
Presenter: Domenico Mallardo (Istituto Nazionale Tumori Fondazione G Pascale, Napoli, Italy)
Date: September 10
Presenter: Marco Tognetti
Date: Wednesday, June 7
Topic area for your poster: Neurodegenerative Disease Research I
Presenter: Yuehan Feng
Date: Tuesday, Sep 19, 2023, 11:45 AM – 1:00 PM
Session: PP03
Numerous software tools, including Spectronaut, have been developed to interpret the increasingly complex and voluminous raw data generated from mass-spectrometry-based proteomics data. These resulting datasets are typically extensive and challenging to analyze, necessitating substantial expertise in the field of proteomics.
Presenter: Yuehan Feng
Wednesday, August 17
This poster emphasizes the importance of MHC molecules in immune responses, particularly in cancer research, where comprehending tumor-associated antigens holds great significance. Accurately quantifying HLA class I/II neoantigens is essential for understanding how the immune system detects and reacts to cancerous cells. However, a significant limitation lies in the high input material requirement.
We devised an integrated immunopeptidomics (IMPX) workflow tailored for cell and tissue samples to address this challenge. This innovative approach allows for in-depth profiling of immunopeptides while substantially reducing the input material needed, which is particularly beneficial for PBMC samples.
E-Poster #TP 024 presented at ASMS 2021
Presenter: Lukas Reiter
Session: Biomarkers: Discovery
Date: Tuesday, November 2
Presenter: Monika Puchalska
While plasma is an information-rich sample type, biomarker discovery from plasma samples can be challenging due to plasma’s high dynamic range and the inter-individual variability of the proteome.
To address this challenge, we performed a deep DIA analysis using project-specific libraries and Spectronaut® 17’s novel directDIA+™ workflow. In our recent US HUPO 2023 poster, we show how the new directDIA+ algorithm performs as well or better than previous approaches.
To learn more, download the poster below.