Literature DB >> 27442111

Transcriptomes of whole blood and PBMC in chickens.

Colette Désert1, Elodie Merlot2, Tatiana Zerjal3, Bertrand Bed'hom3, Sonja Härtle4, Aurélie Le Cam5, Pierre-François Roux2, Elisabeth Baeza6, Florence Gondret2, Michel Jacques Duclos6, Sandrine Lagarrigue2.   

Abstract

Global transcriptome analysis of chicken whole blood to discover biomarkers of different phenotypes or physiological disorders has never been investigated so far. Whole blood provides significant advantages, allowing large scale and non-invasive sampling. However, generation of gene expression data from the blood of non-mammalian species remains a challenge, notably due to the nucleated red blood cells, hindering the use of well-established protocols. The aim of this study was to analyze the relevance of using whole blood cells (WB) to find biomarkers, instead of Peripheral Blood Mononuclear Cells (PBMC), usually chosen for immune challenges. RNA sources from WB and PBMC was characterized by microarray analysis. Our results show that the quality and quantity of RNA obtained from WB was suitable for further analyses, although the quality was lower than that from PBMC. The transcriptome profiling comparison revealed that the majority of genes were expressed in both WB and PBMC. Hemoglobin subunits were the major transcripts in WB, whereas the most enriched biological process was related to protein catabolic process. Most of the over-represented transcripts in PBMC were implicated in functions specific to thrombocytes, like coagulation and platelet activation, probably due to the large proportion of this nucleated cell type in chicken PBMC. Functions related to B and T cells and to other immune functions were also enriched in the PBMC subset. We conclude that WB is more suitable for large scale immunity oriented studies and other biological processes that have been poorly investigated so far.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Chicken; Gene expression; Microarrays; PBMC; Whole blood

Mesh:

Substances:

Year:  2016        PMID: 27442111     DOI: 10.1016/j.cbd.2016.06.008

Source DB:  PubMed          Journal:  Comp Biochem Physiol Part D Genomics Proteomics        ISSN: 1744-117X            Impact factor:   2.674


  8 in total

1.  Blood Transcriptomics of Turbot Scophthalmus maximus: A Tool for Health Monitoring and Disease Studies.

Authors:  Paolo Ronza; José Antonio Álvarez-Dios; Diego Robledo; Ana Paula Losada; Roberto Romero; Roberto Bermúdez; Belén G Pardo; Paulino Martínez; María Isabel Quiroga
Journal:  Animals (Basel)       Date:  2021-04-30       Impact factor: 2.752

2.  Multi-tissue transcriptomic study reveals the main role of liver in the chicken adaptive response to a switch in dietary energy source through the transcriptional regulation of lipogenesis.

Authors:  C Desert; E Baéza; M Aite; M Boutin; A Le Cam; J Montfort; M Houee-Bigot; Y Blum; P F Roux; C Hennequet-Antier; C Berri; S Metayer-Coustard; A Collin; S Allais; E Le Bihan; D Causeur; F Gondret; M J Duclos; S Lagarrigue
Journal:  BMC Genomics       Date:  2018-03-07       Impact factor: 3.969

3.  Redox-regulation and life-history trade-offs: scavenging mitochondrial ROS improves growth in a wild bird.

Authors:  Alberto Velando; Jose C Noguera; Alberto da Silva; Sin-Yeon Kim
Journal:  Sci Rep       Date:  2019-02-18       Impact factor: 4.379

4.  Mitochondrial and Glycolytic Capacity of Peripheral Blood Mononuclear Cells Isolated From Diverse Poultry Genetic Lines: Optimization and Assessment.

Authors:  Meaghan M Meyer; Susan J Lamont; Elizabeth A Bobeck
Journal:  Front Vet Sci       Date:  2022-01-28

5.  Assessment of chicken peripheral blood mononuclear cells isolated from freshly drawn blood versus 24 h refrigerated blood.

Authors:  Chananphat Tantikositruj; Anchalee Buadkhunthod; Jatuporn Rattanasrisomporn; Warangkana Kitpipit; Chaiwat Boonkaewwan
Journal:  Vet World       Date:  2021-09-27

6.  Analysis of merged whole blood transcriptomic datasets to identify circulating molecular biomarkers of feed efficiency in growing pigs.

Authors:  Farouk Messad; Isabelle Louveau; David Renaudeau; Hélène Gilbert; Florence Gondret
Journal:  BMC Genomics       Date:  2021-07-03       Impact factor: 3.969

7.  Spontaneous intake of essential oils after a negative postnatal experience has long-term effects on blood transcriptome in chickens.

Authors:  Aline Foury; Anne Collin; Jean-Christophe Helbling; Christine Leterrier; Marie-Pierre Moisan; Laurence A Guilloteau
Journal:  Sci Rep       Date:  2020-11-26       Impact factor: 4.379

8.  Chicken Immune Cell Assay to Model Adaptive Immune Responses In Vitro.

Authors:  Filip Larsberg; Maximilian Sprechert; Deike Hesse; Gudrun A Brockmann; Susanne Kreuzer-Redmer
Journal:  Animals (Basel)       Date:  2021-12-19       Impact factor: 2.752

  8 in total

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