Evidence map›Paper›PMID 39847747›Full record

ReviewAnnual review of analytical chemistry (Palo Alto, Calif.)2025

Capillary Electrophoresis-Mass Spectrometry for Top-Down Proteomics.

Qianjie Wang, Qianyi Wang, Guijie Zhu, Liangliang Sun

Abstract readReview
In one paragraph

Review in Annual review of analytical chemistry (Palo Alto, Calif.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. A Draft Map of E. coli Proteoforms.Analytical chemistry · 2026
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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.

Qianjie WangDepartment of Chemistry, Michigan State University, East Lansing, Michigan, USA; email: lsun@chemistry.msu.edu.
Qianyi WangDepartment of Chemistry, Michigan State University, East Lansing, Michigan, USA; email: lsun@chemistry.msu.edu.
Guijie ZhuDepartment of Chemistry, Michigan State University, East Lansing, Michigan, USA; email: lsun@chemistry.msu.edu.
Liangliang SunDepartment of Chemistry, Michigan State University, East Lansing, Michigan, USA; email: lsun@chemistry.msu.edu.

Funding

Quantitative top-down proteomics of human colorectal cancer cells and tumorsR01CA247863 · NCI · MICHIGAN STATE UNIVERSITY · PI HUMMON, AMANDA B., LIU, XIAOWEN · 2021 to 2025
$1.9M
Advancing top-down proteomics with capillary electrophoresis-mass spectrometryR35GM153479 · NIGMS · MICHIGAN STATE UNIVERSITY · PI Liangliang Sun · 2024 to 2026
$1.4M
NCI NIH HHS R01 CA247863NIGMS NIH HHS R35 GM153479
6 · The paper itself

Abstract

Mass spectrometry (MS)-based top-down proteomics (TDP) characterizes proteoforms in cells, tissues, and biological fluids (e.g., human plasma) to better our understanding of protein function and to discover new protein biomarkers for disease diagnosis and therapeutic development. Separations of proteoforms with high peak capacity are needed due to the high complexity of biological samples. Capillary electrophoresis (CE)-MS has been recognized as a powerful analytical tool for protein analysis since the 1980s owing to its high separation efficiency and sensitivity of CE-MS for proteoforms. Here, we review benefits of CE-MS for advancing TDP, challenges and solutions of the method, and the main research areas in which CE-MS-based TDP can make significant contributions. We provide a brief perspective of CE-MS-based TDP moving forward.

Indexed as

Mass SpectrometryProteinsProteomicsAnimalsElectrophoresis, CapillaryHumansProteinscapillary electrophoresis–mass spectrometrynanomedicinenative proteomicsproteoformssingle-cell proteomicstop-down proteomics

Identifiers

PMID39847747
PMCPMC12081194

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.