Literature DB >> 31432411

A Versatile Workflow for Cerebrospinal Fluid Proteomic Analysis with Mass Spectrometry: A Matter of Choice between Deep Coverage and Sample Throughput.

Charlotte Macron1, Antonio Núñez Galindo1, Ornella Cominetti1, Loïc Dayon2.   

Abstract

Human cerebrospinal fluid (CSF) is a sample of choice in the study of brain disorders. This biological fluid circulates in the brain and the spinal cord and contains tissue-specific proteins, indicative of health and disease conditions. Despite its potential as a valid source of biological markers, CSF remains largely understudied as compared to blood, in particular due to its more invasive way of sampling.Challenges remain when performing proteomic analysis in clinical research studies. State-of-the-art mass spectrometry (MS) enables deep characterization of the human proteome. But some technical limitations are cardinal to be addressed, such as the capacity to routinely analyze large cohorts of samples. Importantly, a trade-off still needs to be made between the proteome coverage depth and the number of measured samples. In this context, we developed a scalable automated proteomic pipeline for the analysis of CSF. Because of its versatility, this workflow can be adapted to accommodate proteome coverage and/or sample throughput. It allows us to prepare and quantitatively analyze hundreds to thousands of CSF samples; it can also allow identification of more than 3000 proteins in a CSF sample when coupled with isoelectric focusing fractionation.In this chapter, we describe an end-to-end pipeline for the proteomic analysis of CSF. The main steps of the sample preparation comprise spiking of a standard, protein digestion, isobaric labeling, and purification; these are performed in a 96-well plate format enabling automation. Depending on the targeted depth of the CSF proteome, optional analytical steps can be included, such as the removal of abundant proteins and sample pre-fractionation. Liquid chromatography tandem MS as well as data processing and analysis complete the pipeline.

Entities:  

Keywords:  Automation; Biomarker; CSF; Deep proteome; Immuno-affinity depletion; Large scale; Mass spectrometry; Missing proteins; Proteomics; Tandem mass tags

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Year:  2019        PMID: 31432411     DOI: 10.1007/978-1-4939-9706-0_9

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  5 in total

1.  Ultra-fast proteomics with Scanning SWATH.

Authors:  Christoph B Messner; Vadim Demichev; Nic Bloomfield; Jason S L Yu; Matthew White; Marco Kreidl; Anna-Sophia Egger; Anja Freiwald; Gordana Ivosev; Fras Wasim; Aleksej Zelezniak; Linda Jürgens; Norbert Suttorp; Leif Erik Sander; Florian Kurth; Kathryn S Lilley; Michael Mülleder; Stephen Tate; Markus Ralser
Journal:  Nat Biotechnol       Date:  2021-03-25       Impact factor: 54.908

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

Authors:  Charlotte Macron; Regis Lavigne; Antonio Núñez Galindo; Michael Affolter; Charles Pineau; Loïc Dayon
Journal:  Data Brief       Date:  2020-05-16

Review 3.  Biomarkers in Neurodegenerative Diseases: Proteomics Spotlight on ALS and Parkinson's Disease.

Authors:  Rekha Raghunathan; Kathleen Turajane; Li Chin Wong
Journal:  Int J Mol Sci       Date:  2022-08-18       Impact factor: 6.208

4.  Liquid Biopsy of Bile based on Targeted Mass Spectrometry for the Diagnosis of Malignant Biliary Strictures.

Authors:  Annie Adrait; Jean-Marc Dumonceau; Myriam Delhaye; Isabelle Annessi-Ramseyer; Jean-Louis Frossard; Yohann Couté; Annarita Farina
Journal:  Clin Transl Sci       Date:  2020-10-23       Impact factor: 4.689

Review 5.  Bench to Bedside: Proteomic Biomarker Analysis of Cerebrospinal Fluid in Patients With Spondylomyelopathy.

Authors:  Brian Fiani; Claudia Covarrubias; Ryan Jarrah
Journal:  Cureus       Date:  2021-06-28
  5 in total

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