Literature DB >> 24321174

Characterization of the peripheral blood transcriptome in a repeated measures design using a panel of healthy individuals.

Patrick De Boever1, Britt Wens2, Anyiawung Chiara Forcheh3, Hans Reynders4, Vera Nelen5, Jos Kleinjans6, Nicolas Van Larebeke7, Geert Verbeke3, Dirk Valkenborg8, Greet Schoeters9.   

Abstract

A repeated measures microarray design with 22 healthy, non-smoking volunteers (aging 32±5years) was set up to study transcriptome profiles in whole blood samples. The results indicate that repeatable data can be obtained with high within-subject correlation. Probes that could discriminate between individuals are associated with immune and inflammatory functions. When investigating possible time trends in the microarray data, we have found no differential expression within a sampling period (within-season effect). Differential expression was observed between sampling seasons and the data suggest a weak response of genes related to immune system functioning. Finally, a high number of probes showed significant season-specific expression variability within subjects. Expression variability increased in springtime and there was an association of the probe list with immune system functioning. Our study suggests that the blood transcriptome of healthy individuals is reproducible over a time period of several months.
Copyright © 2013 Elsevier Inc. All rights reserved.

Keywords:  Biomonitoring; Gene expression variability; Immune system; Public health; Transcriptome; Whole blood

Mesh:

Year:  2013        PMID: 24321174     DOI: 10.1016/j.ygeno.2013.11.006

Source DB:  PubMed          Journal:  Genomics        ISSN: 0888-7543            Impact factor:   5.736


  9 in total

1.  Genome-Wide Changes in Peripheral Gene Expression following Sports-Related Concussion.

Authors:  Kian Merchant-Borna; Hyunhwa Lee; Dan Wang; Viktoria Bogner; Martijn van Griensven; Jessica Gill; Jeffrey J Bazarian
Journal:  J Neurotrauma       Date:  2016-04-01       Impact factor: 5.269

2.  Variability of multi-omics profiles in a population-based child cohort.

Authors:  Marta Gallego-Paüls; Carles Hernández-Ferrer; Mariona Bustamante; Xavier Basagaña; Jose Barrera-Gómez; Chung-Ho E Lau; Alexandros P Siskos; Marta Vives-Usano; Carlos Ruiz-Arenas; John Wright; Remy Slama; Barbara Heude; Maribel Casas; Regina Grazuleviciene; Leda Chatzi; Eva Borràs; Eduard Sabidó; Ángel Carracedo; Xavier Estivill; Jose Urquiza; Muireann Coen; Hector C Keun; Juan R González; Martine Vrijheid; Léa Maitre
Journal:  BMC Med       Date:  2021-07-22       Impact factor: 8.775

3.  RNA-Seq analysis of seasonal and individual variation in blood transcriptomes of healthy managed bottlenose dolphins.

Authors:  Jeanine S Morey; Marion G Neely; Denise Lunardi; Paul E Anderson; Lori H Schwacke; Michelle Campbell; Frances M Van Dolah
Journal:  BMC Genomics       Date:  2016-09-08       Impact factor: 3.969

4.  Blood transcriptome based biomarkers for human circadian phase.

Authors:  Emma E Laing; Carla S Möller-Levet; Norman Poh; Nayantara Santhi; Simon N Archer; Derk-Jan Dijk
Journal:  Elife       Date:  2017-02-20       Impact factor: 8.140

5.  Peripheral Blood Mononuclear Cell Metabolism Acutely Adapted to Postprandial Transition and Mainly Reflected Metabolic Adipose Tissue Adaptations to a High-Fat Diet in Minipigs.

Authors:  Yuchun Zeng; Jérémie David; Didier Rémond; Dominique Dardevet; Isabelle Savary-Auzeloux; Sergio Polakof
Journal:  Nutrients       Date:  2018-11-21       Impact factor: 5.717

6.  Effects of genetic and early environmental risk factors for depression on serotonin transporter expression and methylation profiles.

Authors:  M Wankerl; R Miller; C Kirschbaum; J Hennig; T Stalder; N Alexander
Journal:  Transl Psychiatry       Date:  2014-06-17       Impact factor: 6.222

7.  Predicting position along a looping immune response trajectory.

Authors:  Poonam Rath; Jessica A Allen; David S Schneider
Journal:  PLoS One       Date:  2018-10-08       Impact factor: 3.240

8.  Identifying and validating blood mRNA biomarkers for acute and chronic insufficient sleep in humans: a machine learning approach.

Authors:  Emma E Laing; Carla S Möller-Levet; Derk-Jan Dijk; Simon N Archer
Journal:  Sleep       Date:  2019-01-01       Impact factor: 5.849

9.  Peripheral Blood Cells from Patients with Hodgkin's and Diffuse Large B Cell Lymphomas May Be a Better Source of Candidate Diagnostic miRNAs Than Circulating miRNAs.

Authors:  Ewa Paszkiewicz-Kozik; Agnieszka Paziewska; Maria Kulecka; Michalina Dąbrowska; Anna Kluska; Aneta Bałabas; Magdalena Piątkowska; Filip Ambrożkiewicz; Joanna Tajer; Włodzimierz Osiadacz; Joanna Romejko-Jarosińska; Martyna Kotarska; Natalia Żeber-Lubecka; Jakub Karczmarski; Lidia Popławska; Michał Mikula; Piotr Rutkowski; Jan Walewski; Jerzy Ostrowski
Journal:  Biomed Res Int       Date:  2021-02-04       Impact factor: 3.411

  9 in total

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