Literature DB >> 27135364

Plasma Proteome Profiling to Assess Human Health and Disease.

Philipp E Geyer1, Nils A Kulak2, Garwin Pichler2, Lesca M Holdt3, Daniel Teupser3, Matthias Mann4.   

Abstract

Proteins in the circulatory system mirror an individual's physiology. In daily clinical practice, protein levels are generally determined using single-protein immunoassays. High-throughput, quantitative analysis using mass-spectrometry-based proteomics of blood, plasma, and serum would be advantageous but is challenging because of the high dynamic range of protein abundances. Here, we introduce a rapid and robust "plasma proteome profiling" pipeline. This single-run shotgun proteomic workflow does not require protein depletion and enables quantitative analysis of hundreds of plasma proteomes from 1 μl single finger pricks with 20 min gradients. The apolipoprotein family, inflammatory markers such as C-reactive protein, gender-related proteins, and >40 FDA-approved biomarkers are reproducibly quantified (CV <20% with label-free quantification). Furthermore, we functionally interpret a 1,000-protein, quantitative plasma proteome obtained by simple peptide pre-fractionation. Plasma proteome profiling delivers an informative portrait of a person's health state, and we envision its large-scale use in biomedicine.
Copyright © 2016 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  apolipoproteins; blood analysis; clinic; disease; human; mass spectrometry; plasma proteome profile

Mesh:

Substances:

Year:  2016        PMID: 27135364     DOI: 10.1016/j.cels.2016.02.015

Source DB:  PubMed          Journal:  Cell Syst        ISSN: 2405-4712            Impact factor:   10.304


  149 in total

1.  The role of proteomics in assessing beta-cell dysfunction and death in type 1 diabetes.

Authors:  Ernesto S Nakayasu; Wei-Jun Qian; Carmella Evans-Molina; Raghavendra G Mirmira; Decio L Eizirik; Thomas O Metz
Journal:  Expert Rev Proteomics       Date:  2019-06-24       Impact factor: 3.940

Review 2.  Using Large Datasets to Understand Nanotechnology.

Authors:  Kalina Paunovska; David Loughrey; Cory D Sago; Robert Langer; James E Dahlman
Journal:  Adv Mater       Date:  2019-08-20       Impact factor: 30.849

3.  Label-Free Quantitative Proteomics Distinguishes General and Site-Specific Host Responses to Pseudomonas aeruginosa Infection at the Ocular Surface.

Authors:  Jason Yeung; Mihaela Gadjeva; Jennifer Geddes-McAlister
Journal:  Proteomics       Date:  2020-01-07       Impact factor: 3.984

4.  Deep Profiling of Proteome and Phosphoproteome by Isobaric Labeling, Extensive Liquid Chromatography, and Mass Spectrometry.

Authors:  B Bai; H Tan; V R Pagala; A A High; V P Ichhaporia; L Hendershot; J Peng
Journal:  Methods Enzymol       Date:  2016-12-24       Impact factor: 1.600

5.  Microvesicle Proteomic Profiling of Uterine Liquid Biopsy for Ovarian Cancer Early Detection.

Authors:  Georgina D Barnabas; Keren Bahar-Shany; Stav Sapoznik; Limor Helpman; Yfat Kadan; Mario Beiner; Omer Weitzner; Nissim Arbib; Jacob Korach; Tamar Perri; Guy Katz; Anna Blecher; Benny Brandt; Eitan Friedman; David Stockheim; Ariella Jakobson-Setton; Ram Eitan; Shunit Armon; Hadar Brand; Oranit Zadok; Sarit Aviel-Ronen; Michal Harel; Tamar Geiger; Keren Levanon
Journal:  Mol Cell Proteomics       Date:  2019-02-13       Impact factor: 5.911

Review 6.  Mass-spectrometric exploration of proteome structure and function.

Authors:  Ruedi Aebersold; Matthias Mann
Journal:  Nature       Date:  2016-09-15       Impact factor: 49.962

7.  FRACPRED-2D-PRM: A Fraction Prediction Algorithm-Assisted 2D Liquid Chromatography-Based Parallel Reaction Monitoring-Mass Spectrometry Approach for Measuring Low-Abundance Proteins in Human Plasma.

Authors:  Jian Shi; Jingcheng Xiao; Jiapeng Li; Xinwen Wang; Lucy Her; Matthew J Sorensen; Hao-Jie Zhu
Journal:  Proteomics       Date:  2020-11-03       Impact factor: 3.984

Review 8.  Genetics meets proteomics: perspectives for large population-based studies.

Authors:  Karsten Suhre; Mark I McCarthy; Jochen M Schwenk
Journal:  Nat Rev Genet       Date:  2020-08-28       Impact factor: 53.242

9.  Boosting to Amplify Signal with Isobaric Labeling (BASIL) Strategy for Comprehensive Quantitative Phosphoproteomic Characterization of Small Populations of Cells.

Authors:  Lian Yi; Chia-Feng Tsai; Ercument Dirice; Adam C Swensen; Jing Chen; Tujin Shi; Marina A Gritsenko; Rosalie K Chu; Paul D Piehowski; Richard D Smith; Karin D Rodland; Mark A Atkinson; Clayton E Mathews; Rohit N Kulkarni; Tao Liu; Wei-Jun Qian
Journal:  Anal Chem       Date:  2019-03-15       Impact factor: 6.986

10.  Systematic Evaluation of Immobilized Trypsin-Based Fast Protein Digestion for Deep and High-Throughput Bottom-Up Proteomics.

Authors:  Xiaojing Shen; Liangliang Sun
Journal:  Proteomics       Date:  2018-04-15       Impact factor: 3.984

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.