ArticleJournal of proteome research2023
Deciphering Protein Secretion from the Brain to Cerebrospinal Fluid for Biomarker Discovery.
Article in Journal of proteome research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 7 citations in OpenAlex.
- Astrocytes from P301S Tau mice exhibit non-canonical protein secretion and reduced morphological complexity.Neural regeneration research · 2026Article
- MSIght: A Modular Platform for Improved Confidence in Global, Untargeted Mass Spectrometry Imaging Annotation.Journal of proteome research · 2025Article
- Predictive potential of combined secretomics and image-based morphometry as a non-invasive method for selecting implanting embryos.Reproductive biology and endocrinology : RB&E · 2025Article
- Data-driven evaluation of suitable immunogens for improved antibody selection.Protein science : a publication of the Protein Society · 2025Article
- Immunoassay for pyruvate kinase M1/2 as an Alzheimer's biomarker in CSF.Open life sciences · 2025Article
- Decision Tree for Protein Biomarker Selection for Clinical Applications.Methods in molecular biology (Clifton, N.J.) · 2025Article
- CSF levels of brain-derived proteins correlate with brain ventricular volume in cognitively healthy 70-year-olds.Clinical proteomics · 2024Article
- Deep Proteome Analysis of Cerebrospinal Fluid from Pediatric Patients with Central Nervous System Cancer.Journal of proteome research · 2024Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cerebrospinal fluid (CSF) is an essential matrix for the discovery of neurological disease biomarkers. However, the high dynamic range of protein concentrations in CSF hinders the detection of the least abundant protein biomarkers by untargeted mass spectrometry. It is thus beneficial to gain a deeper understanding of the secretion processes within the brain. Here, we aim to explore if and how the secretion of brain proteins to the CSF can be predicted. By combining a curated CSF proteome and the brain elevated proteome of the Human Protein Atlas, brain proteins were classified as CSF or non-CSF secreted. A machine learning model was trained on a range of sequence-based features to differentiate between CSF and non-CSF groups and effectively predict the brain origin of proteins. The classification model achieves an area under the curve of 0.89 if using high confidence CSF proteins. The most important prediction features include the subcellular localization, signal peptides, and transmembrane regions. The classifier generalized well to the larger brain detected proteome and is able to correctly predict novel CSF proteins identified by affinity proteomics. In addition to elucidating the underlying mechanisms of protein secretion, the trained classification model can support biomarker candidate selection.
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Registered trials
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