Literature DB >> 30480452

200+ Protein Concentrations in Healthy Human Blood Plasma: Targeted Quantitative SRM SIS Screening of Chromosomes 18, 13, Y, and the Mitochondrial Chromosome Encoded Proteome.

Arthur T Kopylov1, Elena A Ponomarenko1, Ekaterina V Ilgisonis1, Mikhail A Pyatnitskiy1, Andrey V Lisitsa1, Ekaterina V Poverennaya1, Olga I Kiseleva1, Tatiana E Farafonova1, Olga V Tikhonova1, Maria G Zavialova1, Svetlana E Novikova1, Sergey A Moshkovskii1,2, Sergey P Radko1, Boris V Morukov3, Anatoly I Grigoriev3, Young-Ki Paik4, Ghasem Hosseini Salekdeh5,6,7, Andrea Urbani8,9, Victor G Zgoda1, Alexander I Archakov1.   

Abstract

This work continues the series of the quantitative measurements of the proteins encoded by different chromosomes in the blood plasma of a healthy person. Selected Reaction Monitoring with Stable Isotope-labeled peptide Standards (SRM SIS) and a gene-centric approach, which is the basis for the implementation of the international Chromosome-centric Human Proteome Project (C-HPP), were applied for the quantitative measurement of proteins in human blood plasma. Analyses were carried out in the frame of C-HPP for each protein-coding gene of the four human chromosomes: 18, 13, Y, and mitochondrial. Concentrations of proteins encoded by 667 genes were measured in 54 blood plasma samples of the volunteers, whose health conditions were consistent with requirements for astronauts. The gene list included 276, 329, 47, and 15 genes of chromosomes 18, 13, Y, and the mitochondrial chromosome, respectively. This paper does not make claims about the detection of missing proteins. Only 205 proteins (30.7%) were detected in the samples. Of them, 84, 106, 10, and 5 belonged to chromosomes 18, 13, and Y and the mitochondrial chromosome, respectively. Each detected protein was found in at least one of the samples analyzed. The SRM SIS raw data are available in the ProteomeXchange repository (PXD004374, PASS01192).

Entities:  

Keywords:  Chromosome-centric Human Proteome Project (C-HPP); Human Plasma Proteome Project (HPPP); healthy human; plasma proteome; selected reaction monitoring (SRM SIS); targeted proteomics

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Substances:

Year:  2018        PMID: 30480452     DOI: 10.1021/acs.jproteome.8b00391

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


  7 in total

1.  Mass Spectrometry-Based Plasma Proteomics: Considerations from Sample Collection to Achieving Translational Data.

Authors:  Vera Ignjatovic; Philipp E Geyer; Krishnan K Palaniappan; Jessica E Chaaban; Gilbert S Omenn; Mark S Baker; Eric W Deutsch; Jochen M Schwenk
Journal:  J Proteome Res       Date:  2019-10-11       Impact factor: 4.466

2.  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

3.  Hemopexin as a Potential Binding Partner of Arginine-Rich Cell-Penetrating Peptides in Serum.

Authors:  Kayo Nomura; Kenichi Kawano; Yoshimasa Kawaguchi; Yuki Kawamura; Junya Michibata; Keiko Kuwata; Koji Sugiyama; Kenji Kusumoto; Shiroh Futaki
Journal:  ACS Pharmacol Transl Sci       Date:  2022-07-20

Review 4.  Dried Blood Spot in Laboratory: Directions and Prospects.

Authors:  Kristina Malsagova; Artur Kopylov; Alexander Stepanov; Tatyana Butkova; Alexander Izotov; Anna Kaysheva
Journal:  Diagnostics (Basel)       Date:  2020-04-23

5.  Evaluation of Aptamers as Affinity Reagents for an Enhancement of SRM-Based Detection of Low-Abundance Proteins in Blood Plasma.

Authors:  Sergey Radko; Konstantin Ptitsyn; Svetlana Novikova; Yana Kiseleva; Alexander Moysa; Leonid Kurbatov; Maria Mannanova; Victor Zgoda; Elena Ponomarenko; Andrey Lisitsa; Alexander Archakov
Journal:  Biomedicines       Date:  2020-05-24

6.  Proteomic Signature of Extracellular Vesicles for Lung Cancer Recognition.

Authors:  Svetlana E Novikova; Natalia A Soloveva; Tatiana E Farafonova; Olga V Tikhonova; Pao-Chi Liao; Victor G Zgoda
Journal:  Molecules       Date:  2021-10-12       Impact factor: 4.411

7.  Proteomic Approach for Searching for Universal, Tissue-Specific, and Line-Specific Markers of Extracellular Vesicles in Lung and Colorectal Adenocarcinoma Cell Lines.

Authors:  Svetlana Novikova; Natalia Shushkova; Tatiana Farafonova; Olga Tikhonova; Roman Kamyshinsky; Victor Zgoda
Journal:  Int J Mol Sci       Date:  2020-09-09       Impact factor: 5.923

  7 in total

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