Analytical ChemistryBioinformaticsPeer-reviewed journal article
DirectMS1Quant: ultrafast quantitative proteomics with MS/MS-free mass spectrometry
Mark V. IvanoviD, Julia A. BubisiD, Vladimir GorshkoviD, Irina A. TarasovaiD, Lev I. LevitskyiD, Elizaveta M. SolovyevaiD, Anastasiya V. LipatovaiD, Frank KjeldseniD, Mikhail V. GorshkoviD
Abstract
Recently, we presented the DirectMS1 method of ultrafast proteome-wide analysis based on minute-long LC gradients and MS1-only mass spectra acquisition. Currently, the method provides the depth of human cell proteome coverage of 2500 proteins at 1% false discovery rate (FDR) when using 5-min LC gradients and 7.3 min runtime in total. While the standard MS/MS approaches provide 4000 to 5000 protein identifications within a couple of hours of instrumentation time, we advocate here that the higher number of identified proteins does not always translate into better quantitation quality of the proteome analysis. To further elaborate on this issue we performed one-by-one comparison of quantitation results obtained using DirectMS1 with three popular MS/MS-based quantitation methods: label-free quantification (LFQ), tandem mass tag (TMT), both based on data dependent acquisition (DDA), and data independent acquisition (DIA). For the comparison we performed a series of proteome-wide analysis of well-characterized (ground truth) and biological relevant samples, including a mix of UPS1 proteins spiked at different concentrations into E. coli digest used as a background and a set of glioblastoma cell lines. MS1-only data was analyzed using a novel quantitation workflow called DirectMS1Quant developed in this work. The results obtained in this study demonstrated comparable quantitation efficiency of 5 min DirectMS1 with both TMT and DIA methods utilizing 10 to 20-fold longer instrumentation time.
- organism: E. coli
- assay: proteomics
- research focus: benchmarking
- research focus: variant calling
- approach: experimental assay
- Citations
- 30
- FWCI
- 2.44
- Field percentile
- top 9%
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
- DirectMS1: MS/MS-free identification of 1000 proteins of cellular proteomes in 5 minutes
M. V. Ivanov, J. A. Bubis, … M. V. Gorshkov·bioRxiv·Sep 5, 2019
- Boosting the MS1-only proteomics with machine learning allows 2000 protein identifications in 5-minute proteome analysis
Mark V. Ivanov, Julia A. Bubis, … Mikhail V. Gorshkov·Journal of Proteome ResearchPeer-reviewed·Mar 15, 2021
- Accurate label-free quantification by directLFQ to compare unlimited numbers of proteomes
Constantin Ammar, Julia Patricia Schessner, … Matthias Mann·Molecular & Cellular ProteomicsPeer-reviewed·May 22, 2023
- Narrow-window DIA: Ultra-fast quantitative analysis of comprehensive proteomes with high sequencing depth
Ulises H. Guzmán, Ana Martínez‐Val, … Jesper Velgaard Olsen·bioRxiv·Jun 2, 2023
- Reanalysis of Orbitrap Astral DIA data demonstrates the capabilities of MS/MS-free proteomics to reveal new biological insights in disease-related samples
Mark V. Ivanov, Anna S. Kopeykina, Mikhail V. Gorshkov·bioRxiv·Apr 1, 2024
- FLASHQuant: a fast algorithm for proteoform quantification in top-down proteomics
Jihyung Kim, Kyowon Jeong, … Oliver Kohlbacher·Analytical ChemistryPeer-reviewed·Oct 18, 2024