Evidence map›Paper›PMID 31913019›Full record

ArticleAnalytical chemistry2020

Improved Single-Cell Proteome Coverage Using Narrow-Bore Packed NanoLC Columns and Ultrasensitive Mass Spectrometry.

Yongzheng Cong, Yiran Liang, Khatereh Motamedchaboki, Romain Huguet, Thy Truong, Rui Zhao, Yufeng Shen, Daniel Lopez-Ferrer, Ying Zhu, Ryan T Kelly

Abstract read
In one paragraph

Article in Analytical chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 95 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
95citing papers in PubMed, 1 pooled it
–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

95 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
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  6. Accelerated protein digestion by numbering-up nanochannels, followed by LC-MS analysis.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2026
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Mass Spectrometry-based Solutions for Single-cell Proteomics.Genomics, proteomics & bioinformatics · 2025
    Review
  13. Article
  14. Review
  15. Article
  16. Article
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  18. Article
  19. Article
  20. Article

35 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

10 authors.

Yongzheng CongDepartment of Chemistry and Biochemistry , Brigham Young University , Provo , Utah 84602 , United States.
Yiran LiangDepartment of Chemistry and Biochemistry , Brigham Young University , Provo , Utah 84602 , United States.
Khatereh MotamedchabokiThermo Fisher Scientific , San Jose , California 95134 , United States.
Romain HuguetThermo Fisher Scientific , San Jose , California 95134 , United States.
Thy TruongDepartment of Chemistry and Biochemistry , Brigham Young University , Provo , Utah 84602 , United States.
Rui ZhaoEnvironmental Molecular Sciences Laboratory , Pacific Northwest National Laboratory , Richland , Washington 99354 , United States.
Yufeng ShenCoAnn Technologies, LLC , Richland , Washington 99354 , United States.
Daniel Lopez-FerrerThermo Fisher Scientific , San Jose , California 95134 , 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

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
NCI NIH HHS R33 CA225248NIBIB NIH HHS R21 EB020976
6 · The paper itself

Abstract

Single-cell proteomics can provide unique insights into biological processes by resolving heterogeneity that is obscured by bulk measurements. Gains in the overall sensitivity and proteome coverage through improvements in sample processing and analysis increase the information content obtained from each cell, particularly for less abundant proteins. Here we report on improved single-cell proteome coverage through the combination of the previously developed nanoPOTS platform with further miniaturization of liquid chromatography (LC) separations and implementation of an ultrasensitive latest generation mass spectrometer. Following nanoPOTS sample preparation, protein digests from single cells were separated using a 20 μm i.d. in-house-packed nanoLC column. Separated peptides were ionized using an etched fused-silica emitter capable of stable operation at the ∼20 nL/min flow rate provided by the LC separation. Ultrasensitive LC-MS analysis was achieved using the Orbitrap Eclipse Tribrid mass spectrometer. An average of 362 protein groups were identified by tandem mass spectrometry (MS/MS) from single HeLa cells, and 874 protein groups were identified using the Match Between Runs feature of MaxQuant. This represents an >70% increase in label-free proteome coverage for single cells relative to previous efforts using larger bore (30 μm i.d.) LC columns coupled to a previous-generation Orbitrap Fusion Lumos mass spectrometer.

Indexed as

NanotechnologySingle-Cell AnalysisChromatography, LiquidHeLa CellsHumansMass SpectrometryNeoplasm ProteinsProteomeTumor Cells, CulturedNeoplasm ProteinsProteome

Identifiers

PMID31913019
PMCPMC7550239

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Registered trials

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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.