Evidence map›Paper›PMID 30460388›Full record

ArticleAnalytical and bioanalytical chemistry2019

Benchtop-compatible sample processing workflow for proteome profiling of < 100 mammalian cells.

Kerui Xu, Yiran Liang, Paul D Piehowski, Maowei Dou, Kaitlynn C Schwarz, Rui Zhao, Ryan L Sontag, Ronald J Moore, Ying Zhu, Ryan T Kelly

Open access · greenAbstract read
In one paragraph

Article in Analytical and bioanalytical chemistry, 2019. 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
2.7field-weighted citation impact, top 10% 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, 57 citations in OpenAlex.

  1. Article
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  6. Review
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  8. Infrared Laser Ablation and Capture of Biological Tissue.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  9. Article
  10. Easy and Accessible Workflow for Label-Free Single-Cell Proteomics.Journal of the American Society for Mass Spectrometry · 2023
    Article
  11. Rapid, One-Step Sample Processing for Label-Free Single-Cell Proteomics.Journal of the American Society for Mass Spectrometry · 2023
    Article
  12. Article
  13. Review
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  15. Article
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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

10 authors at 3 institutions in 1 country.

Kerui XuW.R. Wiley Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, 902 Battelle Boulevard, Richland, WA, 99352, USA.
Yiran LiangDepartment of Chemistry and Biochemistry, Brigham Young University, C100 BNSN, Provo, UT, 84602, USA.
Paul D PiehowskiBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99352, USA.
Maowei DouW.R. Wiley Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, 902 Battelle Boulevard, Richland, WA, 99352, USA.
Kaitlynn C SchwarzW.R. Wiley Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, 902 Battelle Boulevard, Richland, WA, 99352, USA.
Rui ZhaoW.R. Wiley Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, 902 Battelle Boulevard, Richland, WA, 99352, USA.
Ryan L SontagBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99352, USA.
Ronald J MooreBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99352, USA.
Ying ZhuW.R. Wiley Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, 902 Battelle Boulevard, Richland, WA, 99352, USA. ying.zhu@pnnl.gov.
Ryan T KellyW.R. Wiley Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, 902 Battelle Boulevard, Richland, WA, 99352, USA. ryan.kelly@byu.edu.ORCID http://orcid.org/0000-0002-3339-4443
Battelle · USPacific Northwest National Laboratory · USBrigham Young University · US

Funding

Area A: In-Depth Proteome Mapping of the Tumor Microenvironment with Single-Cell ResolutionR33CA225248 · NCI · BRIGHAM YOUNG UNIVERSITY · PI KELLY, RYAN T · 2017 to 2017
$1.7M
High-throughput multidimensional bioseparations for next-generation proteomicsR21EB020976 · NIBIB · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI KELLY, RYAN T · 2016 to 2017
$400k
National Cancer Institute R33 CA225248National Institute of Biomedical Imaging and Bioengineering R21 EB020976NCI NIH HHS R33 CA225248NIBIB NIH HHS R21 EB020976
6 · The paper itself

Abstract

Extending proteomics to smaller samples can enable the mapping of protein expression across tissues with high spatial resolution and can reveal sub-group heterogeneity. However, despite the continually improving sensitivity of LC-MS instrumentation, in-depth profiling of samples containing low-nanogram amounts of protein has remained challenging due to analyte losses incurred during preparation and analysis. To address this, we recently developed nanodroplet processing in one pot for trace samples (nanoPOTS), a robotic/microfluidic platform that generates ready-to-analyze peptides from cellular material in ~200 nL droplets with greatly reduced sample losses. In combination with ultrasensitive LC-MS, nanoPOTS has enabled >3000 proteins to be confidently identified from as few as 10 cultured human cells and ~700 proteins from single cells. However, the nanoPOTS platform requires a highly skilled operator and a costly in-house-built robotic nanopipetting instrument. In this work, we sought to evaluate the extent to which the benefits of nanodroplet processing could be preserved when upscaling reagent dispensing volumes by a factor of 10 to those addressable by commercial micropipette. We characterized the resulting platform, termed microdroplet processing in one pot for trace samples (μPOTS), for the analysis of as few as ~25 cultured HeLa cells (4 ng total protein) or 50 μm square mouse liver tissue thin sections and found that ~1800 and ~1200 unique proteins were respectively identified with high reproducibility. The reduced equipment requirements should facilitate broad dissemination of nanoproteomics workflows by obviating the need for a capital-intensive custom liquid handling system.

Indexed as

WorkflowAnimalsChromatography, LiquidHeLa CellsHumansLiverMass SpectrometryMice, Inbred C57BLMicrofluidicsProteomicsReproducibility of ResultsSolid Phase ExtractionMicrofluidicsProteomicsSmall sampleThin tissue sections

Identifiers

PMID30460388
PMCPMC6527493
OpenAlexW2901731771

What OpenQuestion holds

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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.