ConductScience.org, home
Papers
API referenceFor AI assistants

Paper · 33767396

Ultra-fast proteomics with Scanning SWATH.

Messner CB and 18 others. Nat Biotechnol, 2021. Cited by 246 papers, by iCite.

11 sourcespapers-2026-11-12-0.1.0

Download JSON
Cite this record

ConductScience Library. Ultra-fast proteomics with Scanning SWATH. Papers, record 33767396. Release papers-2026-11-12-0.1.0, 12 Nov 2026. https://conductscience.org/library/papers/33767396

On this page

Paper

PubMed's record of the paper, with iCite's citation figures. No abstract is shown.

Title
Ultra-fast proteomics with Scanning SWATH.
PubMed
Journal
Nat Biotechnol
PubMed
Year
2021
PubMed
Publication types
Journal Article, Research Support, Non-U.S. Gov't
PubMed
Citations, by iCite
246
iCite
Relative citation ratio, by iCite
14.6
iCite
Revised in PubMed
2025-05-30
PubMed

Authors19

The authors in the order PubMed's record lists them, with the ORCID iDs it states.

OrderAuthorForenameKindORCID iD
1Messner CBChristoph B
2Demichev VVadimhttps://orcid.org/0000-0002-2424-9412
3Bloomfield NNic
4Yu JSLJason S L
5White MMatthew
6Kreidl MMarco
7Egger ASAnna-Sophia
8Freiwald AAnja
9Ivosev GGordana
10Wasim FFras

1 to 10 of 19Source PubMed

See all 19 authors

Topics12

NLM's MeSH indexing of the paper, its major topics first.

MeSH termMajor
ProteomicsMajor topic
Tandem Mass SpectrometryMajor topic
Arabidopsis
Biomarkers
COVID-19
Cell Line
Humans
Peptides
Proteome
Saccharomyces cerevisiae
Saccharomyces cerevisiae Proteins
Severity of Illness Index

Source PubMed

Grants5

Each grant PubMed's record writes, matched to the NIH project NIH's grant and paper links name for this paper, and each of those links the record does not write.

Grant, as the record writes itAgencyCountryNIH projectStated by
MC_PC_20060Medical Research CouncilUnited KingdomPubMed
MR/V028448/1Medical Research CouncilUnited KingdomPubMed
MC_PC_17179Medical Research CouncilUnited KingdomPubMed
200829/Z/16/ZWellcome TrustUnited KingdomPubMed
FC001134Wellcome TrustUnited KingdomPubMed

Source PubMed

Trials0

The trials whose ClinicalTrials.gov record lists the paper, and the trial numbers the paper's PubMed record names.

None in this release.

Comments and corrections1

PubMed's comments and corrections, NLM's own indexing: retractions first, then expressions of concern, errata and updates, and comments last.

KindPMIDTitleIn Papers
Comment in33,767,394Increasing proteomics throughput.https://conductscience.org/library/papers/33767394

Source PubMed

References70

The papers the reference list in PubMed's record names, those in our copy of PubMed, in the list's order.

OrderPMIDTitleJournalYearIn PapersSource
127,629,641Mass-spectrometric exploration of proteome structure and function.Nature2016https://conductscience.org/library/papers/27629641PubMed
221,548,781Quantitative, high-resolution proteomics for data-driven systems biology.Annu Rev Biochem2011https://conductscience.org/library/papers/21548781PubMed
327,882,306Personalized Proteomics: The Future of Precision Medicine.Proteomes2016https://conductscience.org/library/papers/27882306PubMed
427,910,877A comprehensive map of molecular drug targets.Nat Rev Drug Discov2017https://conductscience.org/library/papers/27910877PubMed
520,805,795Mass spectrometry in high-throughput proteomics: ready for the big time.Nat Methods2010https://conductscience.org/library/papers/20805795PubMed
629,969,236Comprehensive Single-Shot Proteomics with FAIMS on a Hybrid Orbitrap Mass Spectrometer.Anal Chem2018https://conductscience.org/library/papers/29969236PubMed
724,143,002The one hour yeast proteome.Mol Cell Proteomics2014https://conductscience.org/library/papers/24143002PubMed
831,465,043Surpassing 10 000 identified and quantified proteins in a single run by optimizing current LC-MS instrumentation and data analysis strategy.Mol Omics2019https://conductscience.org/library/papers/31465043PubMed
933,257,825diaPASEF: parallel accumulation-serial fragmentation combined with data-independent acquisition.Nat Methods2020https://conductscience.org/library/papers/33257825PubMed
1029,735,998BoxCar acquisition method enables single-shot proteomics at a depth of 10,000 proteins in 100 minutes.Nat Methods2018https://conductscience.org/library/papers/29735998PubMed

1 to 10 of 70

See all 70 references

Cited by153

The papers in our copy of PubMed whose reference list names this one, newest first. iCite, which reads more sources, counts 246 citations.

PMIDTitleJournalYearIn PapersSource
42,943,676Mass Spectrometry-Based Omics: An Integrated Framework for Analytical Quality, Data Integrity, and Biological Interpretation.Molecules2026https://conductscience.org/library/papers/42943676PubMed
42,860,425Genome-wide analysis of 439 mass spectrometry-based proteomic profiles in a population of 15,035 Scottish individuals.Nat Commun2026https://conductscience.org/library/papers/42860425PubMed
42,855,516Proteome-guided drug discovery maps and mitigates therapeutic degrader toxicity.Nat Chem Biol2026https://conductscience.org/library/papers/42855516PubMed
42,748,252Diversity of electron-bifurcating CO2-fixing supercomplexes in methanogens.Sci Adv2026https://conductscience.org/library/papers/42748252PubMed
42,737,484Aptamer-Based Platforms for Human Aging Biomarkers: Multiplexed Proteomics, Biosensors and Translational Perspectives.Int J Mol Sci2026https://conductscience.org/library/papers/42737484PubMed
42,564,282Data-independent acquisition-based quantitative proteomics in plants.Front Plant Sci2026https://conductscience.org/library/papers/42564282PubMed
42,443,220A small nucleolar RNA dictates the structure and function of translating ribosomes in Leishmania.Nat Commun2026https://conductscience.org/library/papers/42443220PubMed
42,414,270Unraveling the dual roles of MICAL2 in skeletal muscle physiology and fusion negative rhabdomyosarcoma tumor progression.Cell Death Dis2026https://conductscience.org/library/papers/42414270PubMed
42,387,167Towards the construction of a virtual yeast.Nature2026https://conductscience.org/library/papers/42387167PubMed
42,383,751Time to rethink circadian rhythms beyond the transcriptome.J Biochem2026https://conductscience.org/library/papers/42383751PubMed

1 to 10 of 153

See all 153 cited by

Genes19

The genes the Gene search release ties to the paper: Swiss-Prot's references first, then PubTator's text mining.

GeneNCBI Gene IDLinked byIn GenesSource
A2M2PubTator's text mininghttps://conductscience.org/library/genes/2NCBI Gene
C1QC714PubTator's text mininghttps://conductscience.org/library/genes/714NCBI Gene
CFI3,426PubTator's text mininghttps://conductscience.org/library/genes/3426NCBI Gene
CYP51A11,595PubTator's text mininghttps://conductscience.org/library/genes/1595NCBI Gene
DHFR1,719PubTator's text mininghttps://conductscience.org/library/genes/1719NCBI Gene
F22,147PubTator's text mininghttps://conductscience.org/library/genes/2147NCBI Gene
GSN2,934PubTator's text mininghttps://conductscience.org/library/genes/2934NCBI Gene
HPX3,263PubTator's text mininghttps://conductscience.org/library/genes/3263NCBI Gene
IGHG23,501PubTator's text mininghttps://conductscience.org/library/genes/3501NCBI Gene
IGKV4-128,908PubTator's text mininghttps://conductscience.org/library/genes/28908NCBI Gene

1 to 10 of 19

See all 19 genes

Drugs0

The drugs whose trials, in the Pipelines release, list the paper.

None in this release.

Data0

The data bank entries PubMed's record names. Trial numbers are under Trials.

None in this release.

Data dates

The date of each source this release read.

PubMed
2026-11-06
PubMed
iCite
2026-11-05
iCite
PMC's ID file
2026-11-05
PMC's ID file
NIH RePORTER's grant and paper links
2026-11-01
NIH RePORTER's grant and paper links
Trials
2026-11-12
Gene search
2026-11-11
Pipelines
2026-09-18

Sources 11

  • ChEMBL, through Open TargetsCC BY-SA 3.0
  • ClinicalTrials.govNo license stated
  • HGNCCC0
  • iCiteCC BY 4.0
  • NCBI GenePublic domain (US government)
  • NIH RePORTER's grant and paper linksPublic domain
  • Open TargetsCC0 1.0
  • PMC's ID filePublic domain (US government)
  • PubMedNLM's terms
  • PubTator 3Public domain
  • UniProtCC BY 4.0
Each source's terms
  • ChEMBL, through Open TargetsCC BY-SA 3.0, for the parts from ChEMBL. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
  • ClinicalTrials.govnone stated
  • HGNCCC0: https://www.genenames.org/about/license/
  • iCiteCC BY 4.0
  • NCBI GeneNone named for the file. NCBI says information created by or for the US government on its site is in the public domain, and asks that NLM be acknowledged: https://www.ncbi.nlm.nih.gov/home/about/policies/
  • NIH RePORTER's grant and paper linksPublic domain (NIH RePORTER)
  • Open TargetsCC0 1.0. Open Targets asks that users cite its latest paper: Buniello et al. 2025, Open Targets Platform: facilitating therapeutic hypotheses building in drug discovery, Nucleic Acids Research 53(D1):D1467, PMID 39657122. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
  • PMC's ID fileNone named for the file. NCBI says information created by or for the US government on its site is in the public domain, and asks that NLM be acknowledged: https://www.ncbi.nlm.nih.gov/home/about/policies/
  • PubMedNLM's terms
  • PubTator 3Public domain
  • UniProtCC BY 4.0. UniProt's licence file: "All databases and documents in the UniProt FTP directory may be copied and redistributed freely, without advance permission, provided that this copyright statement is reproduced with each copy." UniProt asks that users cite its latest paper: The UniProt Consortium, UniProt: the Universal Protein Knowledgebase in 2025, Nucleic Acids Research 53:D609-D617, https://doi.org/10.1093/nar/gkae1010. Read on 9 Nov 2026 at https://www.uniprot.org/help/license

ClinicalTrials.gov's data carry an international copyright outside the United States: https://clinicaltrials.gov/about-site/terms-conditions.

For software

Read this paper from software.

The record and each of its lists are JSON, twenty rows a page. No key.

GET https://conductscience.org/api/papers/v1/33767396

GET https://conductscience.org/api/papers/v1/33767396/references?page=2

API referenceFor AI assistants