ArticleACS omega2022
In-Depth Serum Proteomics by DIA-MS with
Article in ACS omega, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The trial behind it
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Who cites it
5 citing papers in PubMed, 25 citations in OpenAlex.
- Enhanced Analysis of Low-Abundance Proteins in Soybean Seeds Using Advanced Mass Spectrometry.International journal of molecular sciences · 2025Article
- Host-derived protein profiles of human neonatal meconium across gestational ages.Nature communications · 2024Article
- Proteome Analysis of Serum Purified UsingInternational journal of molecular sciences · 2024Article
- An explorative study on proteomic analyses related to inflammation and pain in children with juvenile idiopathic arthritis.BMC pediatrics · 2023Article
- Effects of short-term waterfall forest aerosol air exposure on rat lung proteomics.Annals of translational medicine · 2022Article
Corrections and comments
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Authors and funding
15 authors at 6 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In serum proteomics using mass spectrometry, the number of detectable proteins is reduced due to high-abundance proteins, such as albumin. However, recently developed data-independent acquisition mass spectrometry (DIA-MS) proteomics technology has made it possible to remarkably improve the number of proteins in a serum analysis by removing high-abundance proteins. Using this technology, we analyzed sera from patients with systemic juvenile idiopathic arthritis (sJIA), a rare pediatric disease. As a result, we identified 2727 proteins with a wide dynamic range derived from various tissue leakages. We also selected 591 proteins that differed significantly in their active phases. These proteins were involved in many inflammatory processes, and we also identified immunoproteasomes, which were not previously found in serum, suggesting that they may be involved in the pathogenesis of sJIA. A detailed high-depth DIA-MS proteomic analysis of serum may be useful for understanding the pathogenesis of sJIA and may provide clues for the development of new biomarkers.
Identifiers
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Registered trials
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