Literature DB >> 27620695

Multicentric study of the effect of pre-analytical variables in the quality of plasma samples stored in biobanks using different complementary proteomic methods.

Jesús Mateos1, Isabel Carneiro2, Fernando Corrales3, Felix Elortza4, Alberto Paradela5, Manuel Sánchez Del Pino6, Ibon Iloro4, Miguel Marcilla5, Maria Isabel Mora3, Luz Valero6, Sergio Ciordia5, Verónica Fernández7, Maria Antonia Fortuño8, Isabel García-Sánchez9, Rosario Martínez10, Maria Angeles Muñoz11, Clara Rodriguez12, Nieves Doménech13.   

Abstract

Analytical proteomics has experienced exponential progress in the last decade and can be expected to lead research studies on diagnostic and therapeutic biomarkers in the near future. Because the development of this type of analysis requires the use of a large number of human samples with a minimum of quality requirements, our objective was to identify appropriate indicators for quality control of plasma samples stored in biobanks for research in proteomics. To accomplish this, plasma samples from 100 healthy donors were obtained and processed according to the pre-analytical variables of: a) time delay for the first centrifugation of the original blood sample (4 or 24h) and b) number of freeze/thaw cycles (1, 2 or 3) of the processed plasma samples. The analyses of samples were performed by different and complementary methods such as SPE MALDI-TOF, DIGE, shotgun (iTRAQ, nLC MALDI TOF/TOF) and targeted nLC MS/MS proteomic techniques (SRM). In general, because the distribution of proteins in all samples was found to be very similar, the results shown that delayed processing of blood samples and the number of freeze/thaw cycles has little or no effect on the integrity of proteins in the plasma samples. SIGNIFICANCE: The results of the present work indicate that blood proteins in plasma are broadly insensitive to such preanalytical variables as delayed processing or freeze/thaw cycles when analyzed at the peptide level. Although there are other studies related to protein stability of clinical samples with similar results, what is remarkable about our work is the large number of plasma samples examined and that our analyses assessed protein integrity by combining a wide set of complementary proteomic approaches performed at different proteomic platform participating laboratories that all yielded similar results. We believe our study is the most comprehensive performed to date to determine the changes in proteins induced by delayed sample processing and plasma freeze/thaw cycles.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biobank; Plasma; Pre-analytical variables; Proteomics; Sample

Mesh:

Year:  2016        PMID: 27620695     DOI: 10.1016/j.jprot.2016.09.003

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  9 in total

1.  Ensuring sample quality for blood biomarker studies in clinical trials: a multicenter international study for plasma and serum sample preparation.

Authors:  Feng-Ming Spring Kong; Lujun Zhao; Luhua Wang; Yuhchyau Chen; Jie Hu; Xiaolong Fu; Chunxue Bai; Li Wang; Theodore S Lawrence; Mitchell S Anscher; Adam Dicker; Paul Okunieff
Journal:  Transl Lung Cancer Res       Date:  2017-12

2.  Effective litmus gene test for monitoring the quality of blood samples: Application to Alzheimer's disease diagnostics.

Authors:  Sung-Mi Shim; Jong-Hoon Kim; Jae-Pil Jeon
Journal:  Sci Rep       Date:  2017-12-04       Impact factor: 4.379

3.  QCloud: A cloud-based quality control system for mass spectrometry-based proteomics laboratories.

Authors:  Cristina Chiva; Roger Olivella; Eva Borràs; Guadalupe Espadas; Olga Pastor; Amanda Solé; Eduard Sabidó
Journal:  PLoS One       Date:  2018-01-11       Impact factor: 3.240

4.  Variable blood processing procedures contribute to plasma proteomic variability.

Authors:  Patrick Halvey; Victor Farutin; Laura Koppes; Nur Sibel Gunay; Dimitrios A Pappas; Anthony M Manning; Ishan Capila
Journal:  Clin Proteomics       Date:  2021-01-19       Impact factor: 3.988

Review 5.  Quantitative proteomics-based analyses performed on pre-eclampsia samples in the 2004-2020 period: a systematic review.

Authors:  Rosana Navajas; Fernando Corrales; Alberto Paradela
Journal:  Clin Proteomics       Date:  2021-01-26       Impact factor: 3.988

6.  Proteomic analysis of extracellular vesicles secreted by primary human epithelial endometrial cells reveals key proteins related to embryo implantation.

Authors:  Marina Segura-Benítez; María Cristina Carbajo-García; Ana Corachán; Amparo Faus; Antonio Pellicer; Hortensia Ferrero
Journal:  Reprod Biol Endocrinol       Date:  2022-01-03       Impact factor: 5.211

7.  Quantitative proteomic analysis of serum-purified exosomes identifies putative pre-eclampsia-associated biomarkers.

Authors:  Rosana Navajas; Antonio Ramos-Fernandez; Ignacio Herraiz; Alberto Galindo; José Luis Bartha; Fernando Corrales; Alberto Paradela
Journal:  Clin Proteomics       Date:  2022-02-10       Impact factor: 3.988

8.  iTRAQ Quantitative Proteomic Analysis of Vitreous from Patients with Retinal Detachment.

Authors:  Fátima Milhano Santos; Leonor Mesquita Gaspar; Sergio Ciordia; Ana Sílvia Rocha; João Paulo Castro E Sousa; Alberto Paradela; Luís António Passarinha; Cândida Teixeira Tomaz
Journal:  Int J Mol Sci       Date:  2018-04-11       Impact factor: 5.923

9.  Which Low-Abundance Proteins are Present in the Human Milieu of Gamete/Embryo Maternal Interaction?

Authors:  Analuce Canha-Gouveia; A Paradela; António Ramos-Fernández; Maria Teresa Prieto-Sánchez; Maria Luisa Sánchez-Ferrer; Fernando Corrales; Pilar Coy
Journal:  Int J Mol Sci       Date:  2019-10-24       Impact factor: 5.923

  9 in total

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