The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Parallel Accumulation–Serial Fragmentation (PASEF): Multiplying Sequencing Speed and Sensitivity by Synchronized Scans in a Trapped Ion Mobility Device
Open accessAbstract
In liquid chromatography-mass spectrometry (LC-MS)-based proteomics, many precursors elute from the column simultaneously. In data-dependent analyses, these precursors are fragmented one at a time, whereas the others are discarded entirely. Here we employ trapped ion mobility spectrometry (TIMS) on an orthogonal quadrupole time-of-flight (QTOF) mass spectrometer to remove this limitation. In TIMS, all precursor ions are accumulated in parallel and released sequentially as a function of their ion mobility. Instead of selecting a single precursor mass with the quadrupole mass filter, we here implement synchronized scans in which the quadrupole is mass positioned with sub-millisecond switching times at the m/z values of appropriate precursors, such as those derived from a topN precursor list. We demonstrate serial selection and fragmentation of multiple precursors in single 50 ms TIMS scans. Parallel accumulation-serial fragmentation (PASEF) enables hundreds of MS/MS events per second at full sensitivity. Modeling the effect of such synchronized scans for shotgun proteomics, we estimate that about a 10-fold gain in sequencing speed should be achievable by PASEF without a decrease in sensitivity.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Mass spectrometry-based proteomics
Aebersold, R., & Mann, M. (2003) · Nature · doi:10.1038/nature01511 · Cited by 6,955
Self-citationRoss, P. L., Huang, Y. N., Marchese, J. N., Williamson, B., Parker, K., Hattan, S., Khainovski, N., Pillai, S., Dey, S., Daniels, S., et al. (2004) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m400129-mcp200 · Cited by 4,401
Gillet, L. C., Navarro, P., Tate, S., Röst, H., Selevsek, N., Reiter, L., Bonner, R., & Aebersold, R. (2012) · Molecular & Cellular Proteomics · doi:10.1074/mcp.o111.016717 · Cited by 2,877
Thompson, A., Schäfer, J., Kuhn, K., Kienle, S., Schwarz, J., Schmidt, G., Neumann, T., & Hamon, C. (2003) · Analytical Chemistry · doi:10.1021/ac0262560 · Cited by 2,378
Ion mobility–mass spectrometry
Kanu, A. B., Dwivedi, P., Tam, M., Matz, L., & Hill, H. H. (2008) · Journal of Mass Spectrometry · doi:10.1002/jms.1383 · Cited by 1,154
Lanucara, F., Holman, S. W., Gray, C. J., & Eyers, C. E. (2014) · Nature Chemistry · doi:10.1038/nchem.1889 · Cited by 901
Protein labeling by iTRAQ: A new tool for quantitative mass spectrometry in proteome research
Wiese, S., Reidegeld, K. A., Meyer, H. E., & Warscheid, B. (2007) · PROTEOMICS · doi:10.1002/pmic.200600422 · Cited by 800
Next-generation proteomics: towards an integrative view of proteome dynamics
Altelaar, A. F. M., Munoz, J., & Heck, A. J. R. (2013) · Nature Reviews Genetics · doi:10.1038/nrg3356 · Cited by 782
A practical guide to the MaxQuant computational platform for SILAC-based quantitative proteomics
Cox, J., Matic, I., Hilger, M., Nagaraj, N., Selbach, M., Olsen, J. V., & Mann, M. (2009) · Nature Protocols · doi:10.1038/nprot.2009.36 · Cited by 766
Self-citationTheory of plasma chromatography/gaseous electrophoresis. Review
Revercomb, H. E., & Mason, E. A. (1975) · Analytical Chemistry · doi:10.1021/ac60357a043 · Cited by 755
Cited by
Mass-spectrometric exploration of proteome structure and function
Aebersold, R., & Mann, M. (2016) · Nature · doi:10.1038/nature19949 · Cited by 2,334
Self-citationIntegrative analysis of multimodal mass spectrometry data in MZmine 3
Schmid, R., Heuckeroth, S., Korf, A., Smirnov, A., Myers, O., Dyrlund, T. S., Bushuiev, R., Murray, K. J., Hoffmann, N., Lu, M., et al. (2023) · Nature Biotechnology · doi:10.1038/s41587-023-01690-2 · Cited by 1,241
Meier, F., Brunner, A.-D., Koch, S., Koch, H., Lubeck, M., Krause, M., Goedecke, N., Decker, J., Kosinski, T., Park, M. A., et al. (2018) · Molecular & Cellular Proteomics · doi:10.1074/mcp.tir118.000900 · Cited by 965
Self-citationBudnik, B., Levy, E., Harmange, G., & Slavov, N. (2018) · Genome Biology · doi:10.1186/s13059-018-1547-5 · Cited by 832
OpenCell: Endogenous tagging for the cartography of human cellular organization
Cho, N. H., Cheveralls, K. C., Brunner, A.-D., Kim, K., Michaelis, A. C., Raghavan, P., Kobayashi, H., Savy, L., Li, J. Y., Canaj, H., et al. (2022) · Science · doi:10.1126/science.abi6983 · Cited by 567
“Our mass spectrometry protocols used the high sensitivity of trapped ion mobility spectrometry time-of-flight (timsTOF) instruments ( 22 ), which allowed miniaturization of IP-MS down to 0.8 × 10 6 cells of starting material [fig.”
MethodInfluentialSelf-citation
Metadata
- Authors
- Meier, F., Beck, S., Grassl, N., Lubeck, M., Park, M. A., Raether, O., & Mann, M.
- Venue
- Journal of Proteome Research
- Publisher
- American Chemical Society (ACS)
- Published
- 2015-11-13
- Volume
- 14
- Issue
- 12
- Pages
- 5378-5387
- ISSN
- 1535-3893 (ISSN-L)
- 1535-3907
- OpenAlex
- W2308104112
- Cited by
- 423
- References
- 32
- FWCI
- 4.81
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Parallel Accumulation–Serial Fragmentation (PASEF): Multiplying Sequencing Speed and Sensitivity by Synchronized Scans in a Trapped Ion Mobility Device. https://app.cochat.ai/papers/10.1021/acs.jproteome.5b00932
- The paper
- Meier, F., Beck, S., Grassl, N., Lubeck, M., Park, M. A., Raether, O., & Mann, M. (2015). Parallel Accumulation–Serial Fragmentation (PASEF): Multiplying Sequencing Speed and Sensitivity by Synchronized Scans in a Trapped Ion Mobility Device. Journal of Proteome Research. https://doi.org/10.1021/acs.jproteome.5b00932
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
