Evidence map›Paper›PMID 32102244›Full record

ReviewInternational journal of molecular sciences2020

Review of Three-Dimensional Liquid Chromatography Platforms for Bottom-Up Proteomics.

Van-An Duong, Jong-Moon Park, Hookeun Lee

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Bottom-Up Proteomics: Advancements in Sample Preparation.International journal of molecular sciences · 2023
    Review
  10. Review
  11. Review
  12. Article
  13. Article
  14. Online μSECAnalytical chemistry · 2021
    Article
  15. Review
  16. Review
  17. Review
  18. Article
  19. Discovery of Post-Translational Modifications inMolecules (Basel, Switzerland) · 2021
    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

3 authors.

Van-An DuongCollege of Pharmacy, Gachon University, Incheon 21936, Korea.ORCID 0000-0002-4676-1804
Jong-Moon ParkCollege of Pharmacy, Gachon University, Incheon 21936, Korea.ORCID 0000-0002-4407-1383
Hookeun LeeCollege of Pharmacy, Gachon University, Incheon 21936, Korea.ORCID 0000-0002-0696-8421

Funding

National Research Foundation of Korea NRF-2016M1A5A1027461National Research Foundation of Korea NRF-2017M3D9A1073784
6 · The paper itself

Abstract

Proteomics is a large-scale study of proteins, aiming at the description and characterization of all expressed proteins in biological systems. The expressed proteins are typically highly complex and large in abundance range. To fulfill high accuracy and sensitivity of proteome analysis, the hybrid platforms of multidimensional (MD) separations and mass spectrometry have provided the most powerful solution. Multidimensional separations provide enhanced peak capacity and reduce sample complexity, which enables mass spectrometry to analyze more proteins with high sensitivity. Although two-dimensional (2D) separations have been widely used since the early period of proteomics, three-dimensional (3D) separation was barely used by low reproducibility of separation, increased analysis time in mass spectrometry. With developments of novel microscale techniques such as nano-UPLC and improvements of mass spectrometry, the 3D separation becomes a reliable and practical selection. This review summarizes existing offline and online 3D-LC platforms developed for proteomics and their applications. In detail, setups and implementation of those systems as well as their advances are outlined. The performance of those platforms is also discussed and compared with the state-of-the-art 2D-LC. In addition, we provide some perspectives on the future developments and applications of 3D-LC in proteomics.

Indexed as

AnimalsChromatography, LiquidHumansLiverMass SpectrometryOnline SystemsProteomeProteomicsReproducibility of ResultsProteome3D separationmass spectrometryoffline 3D-LConline 3D-LCproteomics

Identifiers

PMID32102244
PMCPMC7073195

What OpenQuestion holds

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LicenceCC BY
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.