Literature DB >> 30124047

Deep Dive on the Proteome of Human Cerebrospinal Fluid: A Valuable Data Resource for Biomarker Discovery and Missing Protein Identification.

Charlotte Macron1, Lydie Lane2,3, Antonio Núñez Galindo1, Loïc Dayon1.   

Abstract

Cerebrospinal fluid (CSF) is a body fluid of choice for biomarker studies of brain disorders but remains relatively under-studied compared with other biological fluids such as plasma, partly due to the more invasive means of its sample collection. The present study establishes an in-depth CSF proteome through the analysis of a unique CSF sample from a pool of donors. After immunoaffinity depletion, the CSF sample was fractionated using off-gel electrophoresis and analyzed with liquid chromatography tandem mass spectrometry (MS) using the latest generation of hybrid Orbitrap mass spectrometers. The shotgun proteomic analysis allowed the identification of 20 689 peptides mapping on 3379 proteins. To the best of our knowledge, the obtained data set constitutes the largest CSF proteome published so far. Among the CSF proteins identified, 34% correspond to genes whose transcripts are highly expressed in brain according to the Human Protein Atlas. The principal Alzheimer's disease biomarkers (e.g., tau protein, amyloid-β, apolipoprotein E, and neurogranin) were detected. Importantly, our data set significantly contributes to the Chromosome-centric Human Proteome Project (C-HPP), and 12 proteins considered as missing are proposed for validation in accordance with the HPP guidelines. Of these 12 proteins, 8 proteins are based on 2 to 6 uniquely mapping peptides from this CSF analysis, and 4 match a new peptide with a "stranded" single peptide in PeptideAtlas from previous CSF studies. The MS proteomic data are available to the ProteomeXchange Consortium ( http://www.proteomexchange.org/ ) with the data set identifier PXD009646.

Entities:  

Keywords:  Human Proteome Project; augurin; brain; cerebrospinal fluid; mass spectrometry; missing proteins; proteomics; tandem mass tag

Mesh:

Substances:

Year:  2018        PMID: 30124047     DOI: 10.1021/acs.jproteome.8b00300

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  18 in total

1.  Human Proteome Project Mass Spectrometry Data Interpretation Guidelines 3.0.

Authors:  Eric W Deutsch; Lydie Lane; Christopher M Overall; Nuno Bandeira; Mark S Baker; Charles Pineau; Robert L Moritz; Fernando Corrales; Sandra Orchard; Jennifer E Van Eyk; Young-Ki Paik; Susan T Weintraub; Yves Vandenbrouck; Gilbert S Omenn
Journal:  J Proteome Res       Date:  2019-10-21       Impact factor: 4.466

2.  DO-MS: Data-Driven Optimization of Mass Spectrometry Methods.

Authors:  R Gray Huffman; Albert Chen; Harrison Specht; Nikolai Slavov
Journal:  J Proteome Res       Date:  2019-05-28       Impact factor: 4.466

3.  Progress on Identifying and Characterizing the Human Proteome: 2019 Metrics from the HUPO Human Proteome Project.

Authors:  Gilbert S Omenn; Lydie Lane; Christopher M Overall; Fernando J Corrales; Jochen M Schwenk; Young-Ki Paik; Jennifer E Van Eyk; Siqi Liu; Stephen Pennington; Michael P Snyder; Mark S Baker; Eric W Deutsch
Journal:  J Proteome Res       Date:  2019-09-13       Impact factor: 4.466

4.  HBFP: a new repository for human body fluid proteome.

Authors:  Dan Shao; Lan Huang; Yan Wang; Xueteng Cui; Yufei Li; Yao Wang; Qin Ma; Wei Du; Juan Cui
Journal:  Database (Oxford)       Date:  2021-10-13       Impact factor: 3.451

5.  Global, in situ analysis of the structural proteome in individuals with Parkinson's disease to identify a new class of biomarker.

Authors:  Marie-Therese Mackmull; Luise Nagel; Fabian Sesterhenn; Jan Muntel; Jan Grossbach; Patrick Stalder; Roland Bruderer; Lukas Reiter; Wilma D J van de Berg; Natalie de Souza; Andreas Beyer; Paola Picotti
Journal:  Nat Struct Mol Biol       Date:  2022-10-12       Impact factor: 18.361

6.  Shed CNTNAP2 ectodomain is detectable in CSF and regulates Ca2+ homeostasis and network synchrony via PMCA2/ATP2B2.

Authors:  M Dolores Martín-de-Saavedra; Marc Dos Santos; Lorenza Culotta; Olga Varea; Benjamin P Spielman; Euan Parnell; Marc P Forrest; Ruoqi Gao; Sehyoun Yoon; Emmarose McCoig; Hiba A Jalloul; Kristoffer Myczek; Natalia Khalatyan; Elizabeth A Hall; Liam S Turk; Antonio Sanz-Clemente; Davide Comoletti; Stefan F Lichtenthaler; Jeffrey S Burgdorf; Maria V Barbolina; Jeffrey N Savas; Peter Penzes
Journal:  Neuron       Date:  2021-12-17       Impact factor: 18.688

7.  Analysis of Brain Protein Stability Changes in Mouse Models of Normal Aging and α-Synucleinopathy Reveals Age- and Disease-Related Differences.

Authors:  Renze Ma; Julia H R Johnson; Yun Tang; Michael C Fitzgerald
Journal:  J Proteome Res       Date:  2021-10-04       Impact factor: 5.370

8.  Pilot proteomic analysis of cerebrospinal fluid in Alzheimer's disease.

Authors:  Justin McKetney; Daniel J Panyard; Sterling C Johnson; Cynthia M Carlsson; Corinne D Engelman; Joshua J Coon
Journal:  Proteomics Clin Appl       Date:  2021-04-26       Impact factor: 3.494

9.  Characterization of the Cerebrospinal Fluid Proteome in Patients with Fragile X-Associated Tremor/Ataxia Syndrome.

Authors:  Diana A Abbasi; Thu T A Nguyen; Deborah A Hall; Erin Robertson-Dick; Elizabeth Berry-Kravis; Stephanie M Cologna
Journal:  Cerebellum       Date:  2021-05-27       Impact factor: 3.847

10.  Transcriptome alterations in myotonic dystrophy frontal cortex.

Authors:  Brittney A Otero; Kiril Poukalov; Ryan P Hildebrandt; Charles A Thornton; Kenji Jinnai; Harutoshi Fujimura; Takashi Kimura; Katharine A Hagerman; Jacinda B Sampson; John W Day; Eric T Wang
Journal:  Cell Rep       Date:  2021-01-19       Impact factor: 9.995

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