Evidence map›Paper›PMID 34935839›Full record

ArticleMolecular omics2022

Laser capture microdissection-capillary zone electrophoresis-tandem mass spectrometry (LCM-CZE-MS/MS) for spatially resolved top-down proteomics: a pilot study of zebrafish brain.

Rachele A Lubeckyj, Liangliang Sun

Abstract read
In one paragraph

Article in Molecular omics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Capillary Electrophoresis-Mass Spectrometry for Top-Down Proteomics.Annual review of analytical chemistry (Palo Alto, Calif.) · 2025
    Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
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  16. Affinity-Based Interactome Analysis of Endogenous LINE-1 Macromolecules.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  17. Article
  18. Review
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

2 authors.

Rachele A LubeckyjDepartment of Chemistry, Michigan State University, 578 S Shaw Ln, East Lansing, MI 48824, USA. lsun@chemistry.msu.edu.
Liangliang SunDepartment of Chemistry, Michigan State University, 578 S Shaw Ln, East Lansing, MI 48824, USA. lsun@chemistry.msu.edu.ORCID 0000-0001-8939-5042

Funding

Quantitative proteomics of Zebrafish embryos and blastomeresR01GM125991 · NIGMS · MICHIGAN STATE UNIVERSITY · PI SUN, LIANGLIANG · 2018 to 2022
$1.7M
NIGMS NIH HHS R01 GM125991
6 · The paper itself

Abstract

Mass spectrometry (MS)-based spatially resolved top-down proteomics (TDP) of tissues is crucial for understanding the roles played by microenvironmental heterogeneity in the biological functions of organs and for discovering new proteoform biomarkers of diseases. There are few published spatially resolved TDP studies. One of the challenges relates to the limited performance of TDP for the analysis of spatially isolated samples using, for example, laser capture microdissection (LCM) because those samples are usually mass-limited. We present the first pilot study of LCM-capillary zone electrophoresis (CZE)-MS/MS for spatially resolved TDP and used zebrafish brain as the sample. The LCM-CZE-MS/MS platform employed a non-ionic detergent and a freeze-thaw method for efficient proteoform extraction from LCM isolated brain sections followed by CZE-MS/MS without any sample cleanup step, ensuring high sensitivity. Over 400 proteoforms were identified in a CZE-MS/MS analysis of one LCM brain section

Indexed as

ProteomicsTandem Mass SpectrometryAnimalsBrainElectrophoresis, CapillaryLaser Capture MicrodissectionPilot ProjectsZebrafish

Identifiers

PMID34935839
PMCPMC9066772

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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.