Evidence map›Paper›PMID 29576737›Full record

ArticleInternational journal of mass spectrometry2018

Subnanogram proteomics: impact of LC column selection, MS instrumentation and data analysis strategy on proteome coverage for trace samples.

Ying Zhu, Rui Zhao, Paul D Piehowski, Ronald J Moore, Sujung Lim, Victoria J Orphan, Ljiljana Paša-Tolić, Wei-Jun Qian, Richard D Smith, Ryan T Kelly

Abstract read
In one paragraph

Article in International journal of mass spectrometry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. What's new in single-cell proteomics.Current opinion in biotechnology · 2024
    Review
  6. Review
  7. Separation methods in single-cell proteomics: RPLC or CE?International journal of mass spectrometry · 2022
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Single-cell Proteomics: Progress and Prospects.Molecular & cellular proteomics : MCP · 2020
    Review
  18. Article
  19. Review
  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

10 authors.

Ying ZhuEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.
Rui ZhaoEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.
Paul D PiehowskiBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.
Ronald J MooreBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.
Sujung LimDivision of Geological and Planetary Sciences, California Institute of Technology, Pasadena, California 91125, United States.
Victoria J OrphanDivision of Geological and Planetary Sciences, California Institute of Technology, Pasadena, California 91125, United States.
Ljiljana Paša-TolićEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.
Wei-Jun QianBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.
Richard D SmithBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.
Ryan T KellyEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.

Funding

Equipment Supplement Request for a Research Resource for Ultra-sensitive High Throughput ProteomicsP41GM103493 · NIGMS · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI SMITH, RICHARD D · 2012 to 2022
$22.6M
High-throughput multidimensional bioseparations for next-generation proteomicsR21EB020976 · NIBIB · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI KELLY, RYAN T · 2016 to 2017
$400k
NIBIB NIH HHS R21 EB020976NIGMS NIH HHS P41 GM103493
6 · The paper itself

Abstract

One of the greatest challenges for mass spectrometry (MS)-based proteomics is the limited ability to analyze small samples. Here we investigate the relative contributions of liquid chromatography (LC), MS instrumentation and data analysis methods with the aim of improving proteome coverage for sample sizes ranging from 0.5 ng to 50 ng. We show that the LC separations utilizing 30-μm-

Indexed as

match between runsnanoLCOrbitrap Fusion Lumossmall cell populationssubnanogram proteomicsultrasensitive

Identifiers

PMID29576737
PMCPMC5863755

What OpenQuestion holds

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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.