Literature DB >> 31573204

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

Vera Ignjatovic1,2, Philipp E Geyer3,4, Krishnan K Palaniappan5, Jessica E Chaaban1, Gilbert S Omenn6, Mark S Baker7, Eric W Deutsch8, Jochen M Schwenk9.   

Abstract

The proteomic analysis of human blood and blood-derived products (e.g., plasma) offers an attractive avenue to translate research progress from the laboratory into the clinic. However, due to its unique protein composition, performing proteomics assays with plasma is challenging. Plasma proteomics has regained interest due to recent technological advances, but challenges imposed by both complications inherent to studying human biology (e.g., interindividual variability) and analysis of biospecimens (e.g., sample variability), as well as technological limitations remain. As part of the Human Proteome Project (HPP), the Human Plasma Proteome Project (HPPP) brings together key aspects of the plasma proteomics pipeline. Here, we provide considerations and recommendations concerning study design, plasma collection, quality metrics, plasma processing workflows, mass spectrometry (MS) data acquisition, data processing, and bioinformatic analysis. With exciting opportunities in studying human health and disease though this plasma proteomics pipeline, a more informed analysis of human plasma will accelerate interest while enhancing possibilities for the incorporation of proteomics-scaled assays into clinical practice.

Entities:  

Keywords:  Human Plasma Proteome Project (HPPP); Human Proteome Project (HPP); bioinformatic analysis; blood; data acquisition; data processing; mass spectrometry (MS); plasma; plasma processing workflows; quality metrics; sample collection; serum; study design

Year:  2019        PMID: 31573204      PMCID: PMC6898750          DOI: 10.1021/acs.jproteome.9b00503

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


  144 in total

Review 1.  The human plasma proteome: history, character, and diagnostic prospects.

Authors:  N Leigh Anderson; Norman G Anderson
Journal:  Mol Cell Proteomics       Date:  2002-11       Impact factor: 5.911

2.  Comparison of three methods for fractionation and enrichment of low molecular weight proteins for SELDI-TOF-MS differential analysis.

Authors:  Muriel De Bock; Dominique de Seny; Marie-Alice Meuwis; Anne-Catherine Servais; Tran Quang Minh; Jean Closset; Jean-Paul Chapelle; Edouard Louis; Michel Malaise; Marie-Paule Merville; Marianne Fillet
Journal:  Talanta       Date:  2010-04-22       Impact factor: 6.057

3.  Addressing accuracy and precision issues in iTRAQ quantitation.

Authors:  Natasha A Karp; Wolfgang Huber; Pawel G Sadowski; Philip D Charles; Svenja V Hester; Kathryn S Lilley
Journal:  Mol Cell Proteomics       Date:  2010-04-10       Impact factor: 5.911

4.  Initial Guidelines for Manuscripts Employing Data-independent Acquisition Mass Spectrometry for Proteomic Analysis.

Authors:  Robert J Chalkley; Michael J MacCoss; Jacob D Jaffe; Hannes L Röst
Journal:  Mol Cell Proteomics       Date:  2019-01       Impact factor: 5.911

5.  Influence of collection tubes during quantitative targeted metabolomics studies in human blood samples.

Authors:  Giuseppe Paglia; Fabiola M Del Greco; Baldur B Sigurdsson; Johannes Rainer; Chiara Volani; Andrew A Hicks; Peter P Pramstaller; Sigurdur V Smarason
Journal:  Clin Chim Acta       Date:  2018-08-13       Impact factor: 3.786

6.  OpenSWATH enables automated, targeted analysis of data-independent acquisition MS data.

Authors:  Hannes L Röst; George Rosenberger; Pedro Navarro; Ludovic Gillet; Saša M Miladinović; Olga T Schubert; Witold Wolski; Ben C Collins; Johan Malmström; Lars Malmström; Ruedi Aebersold
Journal:  Nat Biotechnol       Date:  2014-03       Impact factor: 54.908

7.  Structurally stable N-t-butylacrylamide hydrogel particles for the capture of peptides.

Authors:  Megan Devine; Melanie Juba; Paul Russo; Barney Bishop
Journal:  Colloids Surf B Biointerfaces       Date:  2017-11-02       Impact factor: 5.268

Review 8.  Plasma proteomics and the paediatric patient.

Authors:  Conor McCafferty; Jessica Chaaban; Vera Ignjatovic
Journal:  Expert Rev Proteomics       Date:  2019-04-25       Impact factor: 3.940

9.  Plasma Proteome Profiling to Assess Human Health and Disease.

Authors:  Philipp E Geyer; Nils A Kulak; Garwin Pichler; Lesca M Holdt; Daniel Teupser; Matthias Mann
Journal:  Cell Syst       Date:  2016-03-23       Impact factor: 10.304

10.  Effects of pre-analytical processes on blood samples used in metabolomics studies.

Authors:  Peiyuan Yin; Rainer Lehmann; Guowang Xu
Journal:  Anal Bioanal Chem       Date:  2015-03-04       Impact factor: 4.142

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  31 in total

Review 1.  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

2.  SWATH-MS Protocols in Human Diseases.

Authors:  Maria Del Pilar Chantada-Vázquez; María García Vence; Antonio Serna; Cristina Núñez; Susana B Bravo
Journal:  Methods Mol Biol       Date:  2021

Review 3.  DNA methylation-based predictors of health: applications and statistical considerations.

Authors:  Paul D Yousefi; Matthew Suderman; Ryan Langdon; Oliver Whitehurst; George Davey Smith; Caroline L Relton
Journal:  Nat Rev Genet       Date:  2022-03-18       Impact factor: 53.242

4.  Systematic evaluation of Copper(II)-loaded immobilized metal affinity chromatography for selective enrichment of copper-binding species in human serum and plasma.

Authors:  Samuel E Janisse; Vibha A Sharma; Amanda Caceres; Valentina Medici; Marie C Heffern
Journal:  Metallomics       Date:  2022-09-01       Impact factor: 4.636

5.  Improved profiling of low molecular weight serum proteome for gastric carcinoma by data-independent acquisition.

Authors:  Weifeng Li; Mengna Li; Xiaoli Zhang; Siqin Yue; Yun Xu; Wenjing Jian; Yin Qin; Lin Lin; Wenlan Liu
Journal:  Anal Bioanal Chem       Date:  2022-06-30       Impact factor: 4.478

6.  RhoA with Associated TRAb or FT3 in the Diagnosis and Prediction of Graves' Ophthalmopathy.

Authors:  Sidi Zhao; Shuangshuang Shi; Wanchen Yang; Hanqing Wang; Tianming Jian; Qing He; Yang Liu; Xiaoming Huang; Tong Wu
Journal:  Dis Markers       Date:  2022-07-29       Impact factor: 3.464

7.  A multiplex protein panel assay for severity prediction and outcome prognosis in patients with COVID-19: An observational multi-cohort study.

Authors:  Ziyue Wang; Adam Cryar; Oliver Lemke; Pinkus Tober-Lau; Daniela Ludwig; Elisa Theresa Helbig; Stefan Hippenstiel; Leif-Erik Sander; Daniel Blake; Catherine S Lane; Rebekah L Sayers; Christoph Mueller; Johannes Zeiser; StJohn Townsend; Vadim Demichev; Michael Mülleder; Florian Kurth; Ernestas Sirka; Johannes Hartl; Markus Ralser
Journal:  EClinicalMedicine       Date:  2022-06-09

Review 8.  Human adaptation to high altitude: a review of convergence between genomic and proteomic signatures.

Authors:  Vandana Sharma; Rajeev Varshney; Niroj Kumar Sethy
Journal:  Hum Genomics       Date:  2022-07-15       Impact factor: 6.481

9.  Affinity Proteomics Assays for Cardiovascular and Atherosclerotic Disease Biomarkers.

Authors:  Maria Jesus Iglesias; Jochen M Schwenk; Jacob Odeberg
Journal:  Methods Mol Biol       Date:  2021

10.  Human ribonuclease 1 serves as a secretory ligand of ephrin A4 receptor and induces breast tumor initiation.

Authors:  Heng-Huan Lee; Ying-Nai Wang; Wen-Hao Yang; Weiya Xia; Yongkun Wei; Li-Chuan Chan; Yu-Han Wang; Zhou Jiang; Shouping Xu; Jun Yao; Yufan Qiu; Yi-Hsin Hsu; Wei-Lun Hwang; Meisi Yan; Jong-Ho Cha; Jennifer L Hsu; Jia Shen; Yuanqing Ye; Xifeng Wu; Ming-Feng Hou; Lin-Ming Tseng; Shao-Chun Wang; Mei-Ren Pan; Chin-Hua Yang; Yuan-Liang Wang; Hirohito Yamaguchi; Da Pang; Gabriel N Hortobagyi; Dihua Yu; Mien-Chie Hung
Journal:  Nat Commun       Date:  2021-05-13       Impact factor: 14.919

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