Evidence map›Paper›PMID 30972727›Full record

ArticleJournal of the American Society for Mass Spectrometry2019

Large-Scale Qualitative and Quantitative Top-Down Proteomics Using Capillary Zone Electrophoresis-Electrospray Ionization-Tandem Mass Spectrometry with Nanograms of Proteome Samples.

Rachele A Lubeckyj, Abdul Rehman Basharat, Xiaojing Shen, Xiaowen Liu, Liangliang Sun

Abstract read
In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Capillary Electrophoresis-Mass Spectrometry for Top-Down Proteomics.Annual review of analytical chemistry (Palo Alto, Calif.) · 2025
    Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  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

5 authors.

Rachele A LubeckyjDepartment of Chemistry, Michigan State University, 578 S Shaw Ln, East Lansing, MI, 48824, USA.
Abdul Rehman BasharatDepartment of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202, USA.
Xiaojing ShenDepartment of Chemistry, Michigan State University, 578 S Shaw Ln, East Lansing, MI, 48824, USA.
Xiaowen LiuDepartment of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202, USA.
Liangliang SunDepartment of Chemistry, Michigan State University, 578 S Shaw Ln, East Lansing, MI, 48824, USA. lsun@chemistry.msu.edu.ORCID http://orcid.org/0000-0001-8939-5042

Funding

Computational tools for top down mass spectrometry based proteoform identification and proteogenomicsR01GM118470 · NIGMS · TULANE UNIVERSITY OF LOUISIANA · PI Xiaowen Liu · 2016 to 2026
$2.7M
Quantitative proteomics of Zebrafish embryos and blastomeresR01GM125991 · NIGMS · MICHIGAN STATE UNIVERSITY · PI SUN, LIANGLIANG · 2018 to 2022
$1.7M
National Institute of General Medical Sciences R01 GM118470National Institute of General Medical Sciences R01GM118470National Institute of General Medical Sciences R01 GM125991National Institute of General Medical Sciences R01GM125991NIGMS NIH HHS R01 GM118470NIGMS NIH HHS R01 GM125991
6 · The paper itself

Abstract

Capillary zone electrophoresis-electrospray ionization-tandem mass spectrometry (CZE-ESI-MS/MS) has attracted attention recently for top-down proteomics because it can achieve highly efficient separation and very sensitive detection of proteins. However, separation window and sample loading volume of CZE need to be boosted for a better proteome coverage using CZE-MS/MS. Here, we present an improved CZE-MS/MS system that achieved a 180-min separation window and a 2-μL sample loading volume for top-down characterization of protein mixtures. The system obtained highly efficient separation of proteins with nearly one million theoretical plates for myoglobin and enabled baseline separation of three different proteoforms of myoglobin. The CZE-MS/MS system identified 797 ± 21 proteoforms and 258 ± 7 proteins (n = 2) from an Escherichia coli (E. coli) proteome sample in a single run with only 250 ng of proteins injected. The system still identified 449 ± 40 proteoforms and 173 ± 6 proteins (n = 2) from the E. coli sample when only 25 ng of proteins were injected per run. Single-shot CZE-MS/MS analyses of zebrafish brain cerebellum (Cb) and optic tectum (Teo) regions identified 1730 ± 196 proteoforms (n = 3) and 2024 ± 255 proteoforms (n = 3), respectively, with only 500-ng proteins loaded per run. Label-free quantitative top-down proteomics of zebrafish brain Cb and Teo regions revealed significant differences between Cb and Teo regarding the proteoform abundance. Over 700 proteoforms from 131 proteins had significantly higher abundance in Cb compared to Teo, and these proteins were highly enriched in several biological processes, including muscle contraction, glycolytic process, and mesenchyme migration. Graphical Abstract.

Indexed as

AnimalsCattleElectrophoresis, CapillaryEscherichia coliEscherichia coli ProteinsHorsesMyoglobinProteinsProteomeProteomicsSpectrometry, Mass, Electrospray IonizationTandem Mass SpectrometryEscherichia coli ProteinsMyoglobinProteinsProteomeCapillary zone electrophoresis-tandem mass spectrometryEscherichia coliMass-limited samplesProteoform quantificationTop-down proteomicsZebrafish cerebellumZebrafish optic tectum

Identifiers

PMID30972727
PMCPMC6675661

What OpenQuestion holds

Textmetadata
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.