An introduction to advanced targeted acquisition methods

M van Bentum, M Selbach - Molecular & Cellular Proteomics, 2021 - ASBMB
Targeted proteomics via selected reaction monitoring (SRM) or parallel reaction monitoring
(PRM) enables fast and sensitive detection of a preselected set of target peptides. However …

Acquisition and analysis of DIA-based proteomic data: A comprehensive survey in 2023

R Lou, W Shui - Molecular & Cellular Proteomics, 2024 - ASBMB
Data-independent acquisition (DIA) mass spectrometry (MS) has emerged as a powerful
technology for high-throughput, accurate, and reproducible quantitative proteomics. This …

[HTML][HTML] Mass-spectrometry-based draft of the Arabidopsis proteome

J Mergner, M Frejno, M List, M Papacek, X Chen… - Nature, 2020 - nature.com
Plants are essential for life and are extremely diverse organisms with unique molecular
capabilities. Here we present a quantitative atlas of the transcriptomes, proteomes and …

Deep learning boosts sensitivity of mass spectrometry-based immunopeptidomics

M Wilhelm, DP Zolg, M Graber, S Gessulat… - Nature …, 2021 - nature.com
Characterizing the human leukocyte antigen (HLA) bound ligandome by mass spectrometry
(MS) holds great promise for developing vaccines and drugs for immune-oncology. Still, the …

[HTML][HTML] Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning

S Gessulat, T Schmidt, DP Zolg, P Samaras… - Nature …, 2019 - nature.com
In mass-spectrometry-based proteomics, the identification and quantification of peptides and
proteins heavily rely on sequence database searching or spectral library matching. The lack …

Robust, reproducible and quantitative analysis of thousands of proteomes by micro-flow LC–MS/MS

Y Bian, R Zheng, FP Bayer, C Wong, YC Chang… - Nature …, 2020 - nature.com
Nano-flow liquid chromatography tandem mass spectrometry (nano-flow LC–MS/MS) is the
mainstay in proteome research because of its excellent sensitivity but often comes at the …

Generating high quality libraries for DIA MS with empirically corrected peptide predictions

BC Searle, KE Swearingen, CA Barnes… - Nature …, 2020 - nature.com
Data-independent acquisition approaches typically rely on experiment-specific spectrum
libraries, requiring offline fractionation and tens to hundreds of injections. We demonstrate a …

[HTML][HTML] DeepLC can predict retention times for peptides that carry as-yet unseen modifications

R Bouwmeester, R Gabriels, N Hulstaert, L Martens… - Nature …, 2021 - nature.com
The inclusion of peptide retention time prediction promises to remove peptide identification
ambiguity in complex liquid chromatography–mass spectrometry identification workflows …

ProteomicsDB: a multi-omics and multi-organism resource for life science research

P Samaras, T Schmidt, M Frejno… - Nucleic acids …, 2020 - academic.oup.com
Abstract ProteomicsDB (https://www. ProteomicsDB. org) started as a protein-centric in-
memory database for the exploration of large collections of quantitative mass spectrometry …

ProteomicsDB

T Schmidt, P Samaras, M Frejno… - Nucleic acids …, 2018 - academic.oup.com
Abstract ProteomicsDB (https://www. ProteomicsDB. org) is a protein-centric in-memory
database for the exploration of large collections of quantitative mass spectrometry-based …