Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 May 16:31:105704.
doi: 10.1016/j.dib.2020.105704. eCollection 2020 Aug.

Exploration of human cerebrospinal fluid: A large proteome dataset revealed by trapped ion mobility time-of-flight mass spectrometry

Affiliations

Exploration of human cerebrospinal fluid: A large proteome dataset revealed by trapped ion mobility time-of-flight mass spectrometry

Charlotte Macron et al. Data Brief. .

Abstract

Cerebrospinal fluid (CSF) is a biofluid in direct contact with the brain and as such constitutes a sample of choice in neurological disorder research, including neurodegenerative diseases such as Alzheimer or Parkinson. Human CSF has still been less studied using proteomic technologies compared to other biological fluids such as blood plasma or serum. In this work, a pool of "normal" human CSF samples was analysed using a shotgun proteomic workflow that combined removal of highly abundant proteins by immunoaffinity depletion and isoelectric focussing fractionation of tryptic peptides to alleviate the complexity of the biofluid. The resulting 24 fractions were analysed using liquid chromatography coupled to a high-resolution and high-accuracy timsTOF Pro mass spectrometer. This state-of-the-art mass spectrometry-based proteomic workflow allowed the identification of 3'174 proteins in CSF. The dataset reported herein completes the pool of the most comprehensive human CSF proteomes obtained so far. An overview of the identified proteins is provided based on gene ontology annotation. Mass and tandem mass spectra are made available as a possible starting point for further studies exploring the human CSF proteome.

Keywords: Cerebrospinal fluid; LC-MS/MS; Large-scale proteome; Mass spectrometry; Proteomics.

PubMed Disclaimer

Conflict of interest statement

The authors declare that they have no known competing financial interests or personal relationships which have, or could be perceived to have, influenced the work reported in this article. C. Macron, A. Núñez Galindo, M. Affolter and L. Dayon are employees of the Société des Produits Nestlé SA.

Figures

Fig. 1
Fig. 1
GO terms of the genes representative of the 3’174 proteins identified in the CSF dataset. The Panther software was used for the GO annotation on the three ontologies, (a) molecular function (b) biological process and (c) cellular component.
Fig. 2
Fig. 2
Comparison of protein and peptide identifications in CSF between our previously published dataset obtained with an Orbitrap Fusion Lumos instrument , and the current dataset obtained with a timsTOF Pro mass spectrometer.

References

    1. Macron C., Lane L., Nunez Galindo A., Dayon L. Deep dive on the proteome of human cerebrospinal fluid: A valuable data resource for biomarker discovery and missing protein identification. J Proteome Res. 2018:4113–4126. doi: 10.1021/acs.jproteome.8b00300. - DOI - PubMed
    1. Macron C., Nunez Galindo A., Cominetti O., Dayon L. A Versatile Workflow for Cerebrospinal Fluid Proteomic Analysis with Mass Spectrometry: A Matter of Choice between Deep Coverage and Sample Throughput. Methods Mol Biol. 2019;2044:129–154. doi: 10.1007/978-1-4939-9706-0_9. - DOI - PubMed
    1. Nunez Galindo A., Macron C., Cominetti O., Dayon L. Analyzing Cerebrospinal Fluid Proteomes to Characterize Central Nervous System Disorders: A Highly Automated Mass Spectrometry-Based Pipeline for Biomarker Discovery. Methods Mol Biol. 2019;1959:89–112. doi: 10.1007/978-1-4939-9164-8_6. - DOI - PubMed
    1. Nunez Galindo A., Kussmann M., Dayon L. Proteomics of cerebrospinal fluid: Throughput and robustness using a scalable automated analysis pipeline for biomarker discovery. Anal Chem. 2015;87(21):10755–10761. doi: 10.1021/acs.analchem.5b02748. - DOI - PubMed
    1. Macron C., Lane L., Nunez Galindo A., Dayon L. Identification of mssing proteins in normal human cerebrospinal fluid. J Proteome Res. 2018:4315–4319. doi: 10.1021/acs.jproteome.8b00194. - DOI - PubMed

LinkOut - more resources