The emerging role of mass spectrometry-based proteomics in drug discovery

F Meissner, J Geddes-McAlister, M Mann… - Nature Reviews Drug …, 2022 - nature.com
Proteins are the main targets of most drugs; however, system-wide methods to monitor
protein activity and function are still underused in drug discovery. Novel biochemical …

[HTML][HTML] Unbiased spatial proteomics with single-cell resolution in tissues

A Mund, AD Brunner, M Mann - Molecular Cell, 2022 - cell.com
Mass spectrometry (MS)-based proteomics has become a powerful technology to quantify
the entire complement of proteins in cells or tissues. Here, we review challenges and recent …

[HTML][HTML] dia-PASEF data analysis using FragPipe and DIA-NN for deep proteomics of low sample amounts

V Demichev, L Szyrwiel, F Yu, GC Teo… - Nature …, 2022 - nature.com
The dia-PASEF technology uses ion mobility separation to reduce signal interferences and
increase sensitivity in proteomic experiments. Here we present a two-dimensional peak …

diaPASEF: parallel accumulation–serial fragmentation combined with data-independent acquisition

F Meier, AD Brunner, M Frank, A Ha, I Bludau… - Nature …, 2020 - nature.com
Data-independent acquisition modes isolate and concurrently fragment populations of
different precursors by cycling through segments of a predefined precursor m/z range …

Increasing the throughput of sensitive proteomics by plexDIA

J Derks, A Leduc, G Wallmann, RG Huffman… - Nature …, 2023 - nature.com
Current mass spectrometry methods enable high-throughput proteomics of large sample
amounts, but proteomics of low sample amounts remains limited in depth and throughput. To …

[HTML][HTML] Multi-omics profiling for health

M Babu, M Snyder - Molecular & Cellular Proteomics, 2023 - ASBMB
The world has witnessed a steady rise in both non-infectious and infectious chronic
diseases, prompting a cross-disciplinary approach to understand and treating disease …

DIA-NN: neural networks and interference correction enable deep proteome coverage in high throughput

V Demichev, CB Messner, SI Vernardis, KS Lilley… - Nature …, 2020 - nature.com
We present an easy-to-use integrated software suite, DIA-NN, that exploits deep neural
networks and new quantification and signal correction strategies for the processing of data …

Ultra-high-performance liquid chromatography high-resolution mass spectrometry variants for metabolomics research

L Perez de Souza, S Alseekh, F Scossa, AR Fernie - Nature Methods, 2021 - nature.com
Ultra-high-performance liquid chromatography high-resolution mass spectrometry (UHPLC–
HRMS) variants currently represent the best tools to tackle the challenges of complexity and …

[HTML][HTML] Streamlined single-cell proteomics by an integrated microfluidic chip and data-independent acquisition mass spectrometry

ST Gebreyesus, AA Siyal, RB Kitata, ESW Chen… - Nature …, 2022 - nature.com
Single-cell proteomics can reveal cellular phenotypic heterogeneity and cell-specific
functional networks underlying biological processes. Here, we present a streamlined …

[HTML][HTML] Ultra-high-throughput clinical proteomics reveals classifiers of COVID-19 infection

CB Messner, V Demichev, D Wendisch, L Michalick… - Cell systems, 2020 - cell.com
The COVID-19 pandemic is an unprecedented global challenge, and point-of-care
diagnostic classifiers are urgently required. Here, we present a platform for ultra-high …