Evidence map›Paper›PMID 37594399›Full record

ArticleJournal of the American Society for Mass Spectrometry2023

Easy and Accessible Workflow for Label-Free Single-Cell Proteomics.

Ximena Sanchez-Avila, Thy Truong, Xiaofeng Xie, Kei G I Webber, S Madisyn Johnston, Hsien-Jung L Lin, Nathaniel B Axtell, Veronica Puig-Sanvicens, Ryan T Kelly

Abstract 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 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
–field-weighted citation impact
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

34 citing papers in PubMed.

  1. Article
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  11. Review
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  14. Article
  15. Mass Spectrometry-based Solutions for Single-cell Proteomics.Genomics, proteomics & bioinformatics · 2025
    Review
  16. Article
  17. Review
  18. Review
  19. Article
  20. Article
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.

Ximena Sanchez-AvilaDepartment 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.
Xiaofeng XieDepartment 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.
S Madisyn JohnstonDepartment 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
Nathaniel B AxtellDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States.
Veronica Puig-SanvicensLife Science Solutions, HP Incorporated, Corvallis, Oregon 97330, United States.
Ryan T KellyDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States.ORCID 0000-0002-3339-4443

Funding

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
NCI NIH HHS R21 CA272326NIGMS NIH HHS R01 GM138931
6 · The paper itself

Abstract

Single-cell proteomics (SCP) can provide information that is unattainable through either bulk-scale protein measurements or single-cell profiling of other omes. Maximizing proteome coverage often requires custom instrumentation, consumables, and reagents for sample processing and separations, which has limited the accessibility of SCP to a small number of specialized laboratories. Commercial platforms have become available for SCP cell isolation and sample preparation, but the high cost of these platforms and the technical expertise required for their operation place them out of reach of many interested laboratories. Here, we assessed the new HP D100 Single Cell Dispenser for label-free SCP. The low-cost instrument proved highly accurate and reproducible for dispensing reagents in the range from 200 nL to 2 μL. We used the HP D100 to isolate and prepare single cells for SCP within 384-well PCR plates. When the well plates were immediately centrifuged following cell dispensing and again after reagent dispensing, we found that ∼97% of wells that were identified in the instrument software as containing a single cell indeed provided the proteome coverage expected of a single cell. This commercial dispenser combined with one-step sample processing provides a very rapid and easy-to-use workflow for SCP with no reduction in proteome coverage relative to a nanowell-based workflow, and the commercial well plates also facilitate autosampling with unmodified instrumentation. Single-cell samples were analyzed using home-packed 30 μm i.d. nanoLC columns as well as commercially available 50 μm i.d. columns. The commercial columns resulted in ∼35% fewer identified proteins. However, combined with the well plate-based preparation platform, the presented workflow provides a fully commercial and relatively low-cost alternative for SCP sample preparation and separation, which should greatly broaden the accessibility of SCP to other laboratories.

Indexed as

ProteomeProteomicsWorkflowProteome

Identifiers

PMID37594399
PMCPMC11002963

What OpenQuestion holds

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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.