ArticleProteomics2026
Probing Early α-Synuclein Oligomers: Insights Into Aggregation Pathways of NACore and preNAC Segments Probed by Trapped Ion-Mobility Mass Spectrometry and Fluorescence Spectroscopy.
Article in Proteomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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.
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.
Who cites it
3 citing papers in PubMed.
- Hyphenated Mass Spectrometry-Based Strategies for Characterizing Oligomers of α‑Synuclein in Parkinson's Disease.ACS central science · 2026Article
- Nanopipettes Enable Native Mass Spectrometry Studies of the Intrinsically Disordered Protein α-Synuclein in Biochemical Buffers.Analytical chemistry · 2026Article
- IR Action Spectroscopy of Mass- and Mobility-Selected α-Synuclein Segments: Structure Identification in Early-Stage Oligomers via the Amide A Region.The journal of physical chemistry. A · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Misfolding and aggregation of α-Synuclein (α-Syn) play a central role in Parkinson's disease (PD), with oligomeric intermediates implicated as key toxic species. Here, we investigate the aggregation of two α-Syn segments, the NACore (
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Registered trials
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.