Evidence map›Paper›PMID 36864200›Full record

GuidelineNature methods2023

Initial recommendations for performing, benchmarking and reporting single-cell proteomics experiments.

Laurent Gatto, Ruedi Aebersold, Juergen Cox, Vadim Demichev, Jason Derks, Edward Emmott, Alexander M Franks, Alexander R Ivanov, Ryan T Kelly, Luke Khoury and 11 more

Open access · bronzeAbstract readPractice GuidelineReview
In one paragraph

Guideline in Nature methods, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 106 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
106citing papers in PubMed, 1 pooled it
24.2field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

106 citing papers in PubMed, 1 synthesis or guideline pooled it, 158 citations in OpenAlex.

  1. Guideline
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  19. Proteoforms as the true units of physiological function.European journal of applied physiology · 2026
    Review
  20. Article

46 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors at 14 institutions in 7 countries.

Laurent GattoComputational Biology and Bioinformatics Unit, de Duve Institute, Université Catholique de Louvain, Brussels, Belgium.ORCID http://orcid.org/0000-0002-1520-2268
Ruedi AebersoldDepartment of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-9576-3267
Juergen CoxMax Planck Institute of Biochemistry, Martinsried, Germany.ORCID http://orcid.org/0000-0001-8597-205X
Vadim DemichevCharité - Universitätsmedizin, Berlin, Germany.ORCID http://orcid.org/0000-0002-2424-9412
Jason DerksDepartments of Bioengineering, Biology, Chemistry and Chemical Biology, Single-Cell Proteomics Center and Barnett Institute, Northeastern University, Boston, MA, USA.ORCID http://orcid.org/0000-0001-9727-9105
Edward EmmottCentre for Proteome Research, Department of Biochemistry and Systems Biology, University of Liverpool, Liverpool, UK.ORCID http://orcid.org/0000-0002-3239-8178
Alexander M FranksDepartment of Statistics and Applied Probability, University of California Santa Barbara, Santa Barbara, CA, USA.
Alexander R IvanovDepartment of Chemistry and Chemical Biology, Barnett Institute of Chemical and Biological Analysis, Northeastern University, Boston, MA, USA.
Ryan T KellyDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, UT, USA.
Luke KhouryDepartments of Bioengineering, Biology, Chemistry and Chemical Biology, Single-Cell Proteomics Center and Barnett Institute, Northeastern University, Boston, MA, USA.ORCID http://orcid.org/0000-0001-7794-6812
Andrew LeducDepartments of Bioengineering, Biology, Chemistry and Chemical Biology, Single-Cell Proteomics Center and Barnett Institute, Northeastern University, Boston, MA, USA.
Michael J MacCossUniversity of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0003-1853-0256
Peter NemesDepartment of Chemistry and Biochemistry, University of Maryland, College Park, MD, USA.ORCID http://orcid.org/0000-0002-4704-4997
David H PerlmanMerck Exploratory Science Center, Merck Sharp & Dohme Corp., Cambridge, MA, USA.
Aleksandra A PetelskiDepartments of Bioengineering, Biology, Chemistry and Chemical Biology, Single-Cell Proteomics Center and Barnett Institute, Northeastern University, Boston, MA, USA.
Christopher M RoseDepartment of Microchemistry, Proteomics and Lipidomics, Genentech Inc., South San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-7502-3368
Erwin M SchoofDepartment of Biotechnology and Biomedicine, Technical University of Denmark, Lyngby, Denmark.ORCID http://orcid.org/0000-0002-3117-7832
Jennifer Van EykCedars Sinai Medical Center, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0001-9050-148X
Christophe VanderaaComputational Biology and Bioinformatics Unit, de Duve Institute, Université Catholique de Louvain, Brussels, Belgium.ORCID http://orcid.org/0000-0001-7443-5427
John R YatesDepartments of Molecular Medicine and Neurobiology, the Scripps Research Institute, La Jolla, CA, USA.ORCID http://orcid.org/0000-0001-5267-1672
Nikolai SlavovDepartments of Bioengineering, Biology, Chemistry and Chemical Biology, Single-Cell Proteomics Center and Barnett Institute, Northeastern University, Boston, MA, USA. nslavov@northeastern.edu.ORCID http://orcid.org/0000-0003-2035-1820
Northeastern University · USde Duve Institute · BEBrigham Young University · USCedars-Sinai Medical Center · USCharité - Universitätsmedizin Berlin · DEETH Zurich · CHMax Planck Institute of Biochemistry · DEMerck & Co., Inc., Rahway, NJ, USA (United States) · USScripps Research Institute · USTechnical University of Denmark · DKUniversity of California, Santa Barbara · USUniversity of Liverpool · GBUniversity of Maryland, College Park · USUniversity of Washington · US

Funding

Genomic and Proteomic Architecture of AtherosclerosisR01HL111362 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI HERRINGTON, DAVID MCLEOD · 2012 to 2021
$17.2M
Seattle Quant: A Resource for the Skyline Software EcosystemR24GM141156 · NIGMS · UNIVERSITY OF WASHINGTON · PI Michael MacCoss · 2021 to 2026
$6.7M
Effect of methodological and biological variability on molecular profiling of extracellular vesicles in cancer detectionR01CA218500 · NCI · NORTHEASTERN UNIVERSITY · PI GHIRAN, IONITA CALIN, IVANOV, ALEXANDER R. · 2018 to 2022
$4.0M
Sub-Cellular Mass Spectrometry Discoveries: Metabolic Encoding of the Embryonic Body PlanR35GM124755 · NIGMS · UNIV OF MARYLAND, COLLEGE PARK · PI Peter Nemes · 2017 to 2026
$3.8M
Robust ultra-high sensitivity proteomic technologies for limited samplesR35GM136421 · NIGMS · NORTHEASTERN UNIVERSITY · PI Alexander R. Ivanov · 2020 to 2026
$3.4M
Ribosome-mediated translational regulation during stem cell differentiationDP2GM123497 · NIGMS · NORTHEASTERN UNIVERSITY · PI SLAVOV, NIKOLAI · 2016 to 2016
$2.4M
Single-cell proteomic identification of novel markers of senescenceUG3CA268117 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI DOU, ZHIXUN, RAJAGOPAL, JAYARAJ · 2021 to 2022
$1.2M
Collaborative Research: DMS/NIGMS 2: Methods for Systematic Analysis of Post-transcriptional Regulation in Single CellsR01GM144967 · NIGMS · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI FRANKS, ALEXANDER, SLAVOV, NIKOLAI · 2021 to 2024
$779k
NCI NIH HHS R01 CA218500NCI NIH HHS UG3 CA268117NHLBI NIH HHS R01 HL111362NIGMS NIH HHS DP2 GM123497NIGMS NIH HHS R01 GM144967NIGMS NIH HHS R24 GM141156NIGMS NIH HHS R35 GM124755NIGMS NIH HHS R35 GM136421
6 · The paper itself

Abstract

Analyzing proteins from single cells by tandem mass spectrometry (MS) has recently become technically feasible. While such analysis has the potential to accurately quantify thousands of proteins across thousands of single cells, the accuracy and reproducibility of the results may be undermined by numerous factors affecting experimental design, sample preparation, data acquisition and data analysis. We expect that broadly accepted community guidelines and standardized metrics will enhance rigor, data quality and alignment between laboratories. Here we propose best practices, quality controls and data-reporting recommendations to assist in the broad adoption of reliable quantitative workflows for single-cell proteomics. Resources and discussion forums are available at https://single-cell.net/guidelines .

Indexed as

ProteomicsProteinsProteomeReproducibility of ResultsTandem Mass SpectrometryProteinsProteome

Identifiers

PMID36864200
PMCPMC10130941
OpenAlexW4322766315

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.