Evidence map›Paper›PMID 34983182›Full record

ArticleAnalytical chemistry2022

Capillary Electrophoresis Coupled to Electrospray Ionization Tandem Mass Spectrometry for Ultra-Sensitive Proteomic Analysis of Limited Samples.

Kendall R Johnson, Michal Greguš, James C Kostas, Alexander R Ivanov

Abstract read
In one paragraph

Article in Analytical chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. [Annual review of capillary electrophoresis technology in 2022].Se pu = Chinese journal of chromatography · 2023
    Review
  17. Separation methods in single-cell proteomics: RPLC or CE?International journal of mass spectrometry · 2022
    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

4 authors.

Kendall R JohnsonDepartment of Chemistry and Chemical Biology, Northeastern University, Barnett Institute of Chemical and Biological Analysis, 360 Huntington Avenue, Boston, Massachusetts 02115, United States.ORCID 0000-0002-4687-7890
Michal GregušDepartment of Chemistry and Chemical Biology, Northeastern University, Barnett Institute of Chemical and Biological Analysis, 360 Huntington Avenue, Boston, Massachusetts 02115, United States.ORCID 0000-0003-3815-1448
James C KostasDepartment of Chemistry and Chemical Biology, Northeastern University, Barnett Institute of Chemical and Biological Analysis, 360 Huntington Avenue, Boston, Massachusetts 02115, United States.ORCID 0000-0001-8140-0812
Alexander R IvanovDepartment of Chemistry and Chemical Biology, Northeastern University, Barnett Institute of Chemical and Biological Analysis, 360 Huntington Avenue, Boston, Massachusetts 02115, United States.ORCID 0000-0002-4691-8488

Funding

Effect of methodological and biological variability on molecular profiling of extracellular vesicles in cancer detectionR01CA218500 · NCI · NORTHEASTERN UNIVERSITY · PI GHIRAN, IONITA CALIN, IVANOV, ALEXANDER R. · 2018 to 2022
$4.0M
Robust ultra-high sensitivity proteomic technologies for limited samplesR35GM136421 · NIGMS · NORTHEASTERN UNIVERSITY · PI Alexander R. Ivanov · 2020 to 2026
$3.4M
Red Blood Cells shuttle beta amyloid between brain and heart: implications for the pathogenesis and the progression of Alzheimer's and CardiomyopathyR01HL156116 · NHLBI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI DEL MONTE, FEDERICA, GHIRAN, IONITA CALIN · 2021 to 2024
$2.0M
Deep Proteomic Profiling of Rare CellsR01GM120272 · NIGMS · NORTHEASTERN UNIVERSITY · PI IVANOV, ALEXANDER R. · 2016 to 2019
$1.5M
NCI NIH HHS R01 CA218500NIGMS NIH HHS R01 GM120272NIGMS NIH HHS R35 GM136421
6 · The paper itself

Abstract

In this work, we developed an ultra-sensitive CE-MS/MS method for bottom-up proteomics analysis of limited samples, down to sub-nanogram levels of total protein. Analysis of 880 and 88 pg of the HeLa protein digest standard by CE-MS/MS yielded ∼1100 ± 46 and ∼160 ± 59 proteins, respectively, demonstrating higher protein and peptide identifications than the current state-of-the-art CE-MS/MS-based proteomic analyses with similar amounts of sample. To demonstrate potential applications of our ultra-sensitive CE-MS/MS method for the analysis of limited biological samples, we digested 500 and 1000 HeLa cells using a miniaturized in-solution digestion workflow. From 1-, 5-, and 10-cell equivalents injected from the resulted digests, we identified 744 ± 127, 1139 ± 24, and 1271 ± 6 proteins and 3353 ± 719, 5709 ± 513, and 8527 ± 114 peptide groups, respectively. Furthermore, we performed a comparative assessment of CE-MS/MS and two reversed-phased nano-liquid chromatography (RP-nLC-MS/MS) methods (monolithic and packed columns) for the analysis of a ∼10 ng HeLa protein digest standard. Our results demonstrate complementarity in the protein- and especially peptide-level identifications of the evaluated CE-MS- and RP-nLC-MS-based methods. The techniques were further assessed to detect post-translational modifications and highlight the strengths of the CE-MS/MS approach in identifying potentially important and biologically relevant modified peptides. With a migration window of ∼60 min, CE-MS/MS identified ∼2000 ± 53 proteins on average from a single injection of ∼8.8 ng of the HeLa protein digest standard. Additionally, an average of 232 ± 10 phosphopeptides and 377 ± 14 N-terminal acetylated peptides were identified in CE-MS/MS analyses at this sample amount, corresponding to 2- and 1.5-fold more identifications for each respective modification found by nLC-MS/MS methods.

Indexed as

ProteomicsSpectrometry, Mass, Electrospray IonizationElectrophoresis, CapillaryHeLa CellsHumansPhosphopeptidesTandem Mass SpectrometryPhosphopeptides

Identifiers

PMID34983182
PMCPMC8770592

What OpenQuestion holds

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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.