Literature DB >> 23631827

Profiling post-centrifugation delay of serum and plasma with antibody bead arrays.

Ulrika Qundos1, Mun-Gwan Hong, Gunnel Tybring, Mark Divers, Jacob Odeberg, Mathias Uhlen, Peter Nilsson, Jochen M Schwenk.   

Abstract

Several biobanking initiatives have emerged to create extensive collections of specimen for biomedical studies and various analytical platforms. An affinity proteomic analysis with antibody suspension bead arrays was conducted to investigate the influence of the pre-analytical time and temperature conditions on blood derived samples. Serum and EDTA plasma prepared from 16 individuals was centrifuged and aliquots were kept either at 4°C or in ambient temperature for 1h and up to 36h prior to first storage. Multiplexed protein profiles of post-centrifugation delay were generated in 384 biotinylated samples using 373 antibodies that targeted 343 unique proteins. Very few profiles were observed as significantly altered by the studied temperature and time intervals. Single binder and sandwich assays revealed decreasing levels of caldesmon 1 (CALD1) related to EDTA standard tubes and prolonged post-centrifugation delay of 36h. Indications from changes in CALD1 levels require further confirmation in independent material, but the current data suggests that samples should preferentially be frozen during the day of collection when to be profiled with antibody arrays selected for this study. BIOLOGICAL SIGNIFICANCE: Affinity-based profiling of serum and plasma by microarray assays can provide unique opportunities for the discovery of biomarkers. It is though often not known how differences in sample handling after collection influence the downstream analysis. By profiling three types of blood preparations for alterations in protein profiles with respect to time and temperature post centrifugation, we addressed an important component in the analysis and of such specimen. We believe that this analysis adds valuable information to be considered when biobanking blood derived samples. This article is part of a Special Issue entitled: Standardization and Quality Control in Proteomics.
Copyright © 2013 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Affinity proteomics; Biobank; CV; FDR; HPA; Human Protein Atlas; LMM; MFI; Plasma; Post-centrifugation delay; Serum; Suspension bead arrays; coefficient of variance.; false discovery rate; linear mixed effects model; median fluorescence intensity; nMFI; normalized median fluorescence intensity

Mesh:

Substances:

Year:  2013        PMID: 23631827     DOI: 10.1016/j.jprot.2013.04.020

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


  12 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.  The Human Plasma Proteome Draft of 2017: Building on the Human Plasma PeptideAtlas from Mass Spectrometry and Complementary Assays.

Authors:  Jochen M Schwenk; Gilbert S Omenn; Zhi Sun; David S Campbell; Mark S Baker; Christopher M Overall; Ruedi Aebersold; Robert L Moritz; Eric W Deutsch
Journal:  J Proteome Res       Date:  2017-10-10       Impact factor: 4.466

3.  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

4.  Affinity proteomics within rare diseases: a BIO-NMD study for blood biomarkers of muscular dystrophies.

Authors:  Burcu Ayoglu; Amina Chaouch; Hanns Lochmüller; Luisa Politano; Enrico Bertini; Pietro Spitali; Monika Hiller; Eric H Niks; Francesca Gualandi; Fredrik Pontén; Kate Bushby; Annemieke Aartsma-Rus; Elena Schwartz; Yannick Le Priol; Volker Straub; Mathias Uhlén; Sebahattin Cirak; Peter A C 't Hoen; Francesco Muntoni; Alessandra Ferlini; Jochen M Schwenk; Peter Nilsson; Cristina Al-Khalili Szigyarto
Journal:  EMBO Mol Med       Date:  2014-07       Impact factor: 12.137

5.  Prediction and modeling of pre-analytical sampling errors as a strategy to improve plasma NMR metabolomics data.

Authors:  Carl Brunius; Anders Pedersen; Daniel Malmodin; B Göran Karlsson; Lars I Andersson; Gunnel Tybring; Rikard Landberg
Journal:  Bioinformatics       Date:  2017-11-15       Impact factor: 6.937

6.  Facets of individual-specific health signatures determined from longitudinal plasma proteome profiling.

Authors:  Tea Dodig-Crnković; Mun-Gwan Hong; Cecilia Engel Thomas; Ragna S Häussler; Annika Bendes; Matilda Dale; Fredrik Edfors; Björn Forsström; Patrik K E Magnusson; Ina Schuppe-Koistinen; Jacob Odeberg; Linn Fagerberg; Anders Gummesson; Göran Bergström; Mathias Uhlén; Jochen M Schwenk
Journal:  EBioMedicine       Date:  2020-07-03       Impact factor: 8.143

7.  Altered levels of CSF proteins in patients with FTD, presymptomatic mutation carriers and non-carriers.

Authors:  Julia Remnestål; Linn Öijerstedt; Abbe Ullgren; Jennie Olofsson; Sofia Bergström; Kim Kultima; Martin Ingelsson; Lena Kilander; Mathias Uhlén; Anna Månberg; Caroline Graff; Peter Nilsson
Journal:  Transl Neurodegener       Date:  2020-06-23       Impact factor: 8.014

8.  Plasma Proteome Profiling to detect and avoid sample-related biases in biomarker studies.

Authors:  Philipp E Geyer; Eugenia Voytik; Peter V Treit; Sophia Doll; Alisa Kleinhempel; Lili Niu; Johannes B Müller; Marie-Luise Buchholtz; Jakob M Bader; Daniel Teupser; Lesca M Holdt; Matthias Mann
Journal:  EMBO Mol Med       Date:  2019-09-30       Impact factor: 12.137

Review 9.  Immunocapture strategies in translational proteomics.

Authors:  Claudia Fredolini; Sanna Byström; Elisa Pin; Fredrik Edfors; Davide Tamburro; Maria Jesus Iglesias; Anna Häggmark; Mun-Gwan Hong; Mathias Uhlen; Peter Nilsson; Jochen M Schwenk
Journal:  Expert Rev Proteomics       Date:  2015-11-11       Impact factor: 3.940

10.  Blood-derived biomarkers correlate with clinical progression in Duchenne muscular dystrophy.

Authors:  Kristin Strandberg; Burcu Ayoglu; Andreas Roos; Mojgan Reza; Erik Niks; Mirko Signorelli; Erik Fasterius; Fredrik Pontén; Hanns Lochmüller; Joana Domingos; Pierpaolo Ala; Francesco Muntoni; Annemieke Aartsma-Rus; Pietro Spitali; Peter Nilsson; Cristina Al-Khalili Szigyarto
Journal:  J Neuromuscul Dis       Date:  2020
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.