Nature CommunicationsBioinformaticsPeer-reviewed journal article
High sensitivity dia-PASEF proteomics with DIA-NN and FragPipe
Vadim DemicheviD, Łukasz SzyrwieliD, Fengchao YuiD, Guo Ci TeoiD, George RosenbergeriD, Agathe NiewiendaiD, Daniela Ludwig, Jens Decker, Stephanie Kaspar‐Schoenefeld, Kathryn Susan LilleyiD, Michael MüllederiD, Alexey I. NesvizhskiiiD, Markus RalseriD
- Citations
- 445
- FWCI
- 31.14
- Field percentile
- top 1%
Abstract
The dia-PASEF technology exploits ion mobility separation for high-sensitivity analysis of complex proteomes. Here, we demonstrate neural network-based processing of the ion mobility data, which we implement in the DIA-NN software suite. Using spectral libraries generated with the MSFragger-based FragPipe computational platform, the DIA-NN analysis of dia-PASEF raw data increases the proteomic depth by up to 69% compared to the originally published dia-PASEF workflow. For example, we quantify over 5200 proteins from 10ng of HeLa peptides separated with a 95-minute nanoflow gradient, and over 5000 proteins from 200ng using a 4.8-minute separation with an Evosep One system. In complex samples, featuring a mix of human and yeast lysates, the workflow detects over 11700 proteins in single runs acquired with a 100-minute nanoflow gradient, while demonstrating quantitative precision. Hence, the combination of FragPipe and DIA-NN provides a simple-to-use software platform for dia-PASEF data analysis, yielding significant gains in high-sensitivity proteomics.
- assay: proteomics
- research focus: benchmarking
- research focus: software / tool
- research focus: variant calling
- research focus: variant effect prediction
- approach: deep learning
- approach: statistical model
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Rapid and in-depth coverage of the (phospho-)proteome with deep libraries and optimal window design for dia-PASEF
P. Skowronek, M. Thielert, … M. Mann·bioRxiv·May 31, 2022
- Comparison of TIMS-PASEF quantitative proteomics data-analysis workflows using FragPipe, DIA-NN, and Spectronaut from a user's perspective
Alejandro Fernández-Vega, Federica Farabegoli, … Ignacio Ortea·bioRxiv·Nov 29, 2021
- DIA-NN EasyFilter workflow for the fast and user-friendly critical assessment and visualization of DIA-NN proteomics analysis outcome
Mabuse Gontse Moagi, Thatiana Ferraz Ferreira, … Éva Csősz·Journal of Proteome ResearchPeer-reviewed·Apr 27, 2026
- diaTracer enables spectrum-centric analysis of diaPASEF proteomics data
Kai Li, Guo Ci Teo, … Alexey I. Nesvizhskii·Nature CommunicationsPeer-reviewed·Jan 2, 2025
- DIA-NN: Neural networks and interference correction enable deep coverage in high-throughput proteomics
Vadim Demichev, Christoph B. Messner, … Markus Ralser·Nature MethodsPeer-reviewed·Nov 25, 2019
- Speedy-PASEF: Analytical flow rate chromatography and trapped ion mobility for deep high-throughput proteomics
L. Szyrwiel, C. Gille, … M. Ralser·bioRxiv·Feb 17, 2023