Evidence map›Paper›PMID 37410391›Full record

ArticleJournal of the American Society for Mass Spectrometry2023

Rapid, One-Step Sample Processing for Label-Free Single-Cell Proteomics.

S Madisyn Johnston, Kei G I Webber, Xiaofeng Xie, Thy Truong, Alissia Nydegger, Hsien-Jung L Lin, Andikan Nwosu, Ying Zhu, Ryan T Kelly

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
6.1field-weighted citation impact, top 3% 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

36 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
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  5. Review
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  9. Review
  10. Mass Spectrometry-based Solutions for Single-cell Proteomics.Genomics, proteomics & bioinformatics · 2025
    Review
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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

9 authors at 2 institutions in 1 country.

S Madisyn JohnstonDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States.
Kei G I WebberDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States.
Xiaofeng XieDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States.
Thy TruongDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States.
Alissia NydeggerDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States.
Hsien-Jung L LinDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States.ORCID 0000-0003-4704-3692
Andikan NwosuDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States.
Ying ZhuEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.ORCID 0000-0002-5416-0566
Ryan T KellyDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States.ORCID 0000-0002-3339-4443
Brigham Young University · USPacific Northwest National Laboratory · US

Funding

Massive single cell proteomics for cancer biologyR01CA272377 · NCI · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI PASA-TOLIC, LJILJANA · 2022 to 2024
$1.9M
Fully automated and ultra-high-throughput platform for in-depth single-cell proteomicsR01GM138931 · NIGMS · BRIGHAM YOUNG UNIVERSITY · PI KELLY, RYAN T · 2020 to 2023
$1.6M
In-depth and label-free proteome profiling of hundreds of single cells per dayR21CA272326 · NCI · BRIGHAM YOUNG UNIVERSITY · PI KELLY, RYAN T · 2022 to 2024
$529k
TOPIC 420 INTEGRATED PLATFORM FOR IN-DEPTH SINGLE-CELL PROTEOMICSPERIOD OF PERFORMANCE SEPTEMBER 13, 2021-JUNE 12, 2022FY21 PHASE I SBIR75N91021C00015 · NCI · MICROMICS TECHNOLOGIES LLC · PI KELLY, RYAN · 2021 to 2022
$455k
NCI NIH HHS 75N91021C00015NCI NIH HHS R01 CA272377NCI NIH HHS R21 CA272326NIGMS NIH HHS R01 GM138931
6 · The paper itself

Abstract

Sample preparation for single-cell proteomics is generally performed in a one-pot workflow with multiple dispensing and incubation steps. These hours-long processes can be labor intensive and lead to long sample-to-answer times. Here we report a sample preparation method that achieves cell lysis, protein denaturation, and digestion in 1 h using commercially available high-temperature-stabilized proteases with a single reagent dispensing step. Four different one-step reagent compositions were evaluated, and the mixture providing the highest proteome coverage was compared to the previously employed multistep workflow. The one-step preparation increases proteome coverage relative to the previous multistep workflow while minimizing labor input and the possibility of human error. We also compared sample recovery between previously used microfabricated glass nanowell chips and injection-molded polypropylene chips and found the polypropylene provided improved proteome coverage. Combined, the one-step sample preparation and the polypropylene substrates enabled the identification of an average of nearly 2400 proteins per cell using a standard data-dependent workflow with Orbitrap mass spectrometers. These advances greatly simplify sample preparation for single-cell proteomics and broaden accessibility with no compromise in terms of proteome coverage.

Indexed as

ProteomeProteomicsHumansMass SpectrometryPolypropylenesSpecimen HandlingPolypropylenesProteome

Identifiers

PMID37410391
PMCPMC11017373
OpenAlexW4383301986

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.