Gene expression profiles in bovine granulocytes reflect the aberration of liver functions.
biomarker
bovine liver
granulocytes
microarray
principal component analysis
Journal
Animal science journal = Nihon chikusan Gakkaiho
ISSN: 1740-0929
Titre abrégé: Anim Sci J
Pays: Australia
ID NLM: 100956805
Informations de publication
Date de publication:
Historique:
received:
04
08
2019
revised:
16
09
2019
accepted:
15
11
2019
pubmed:
22
12
2019
medline:
20
9
2020
entrez:
22
12
2019
Statut:
ppublish
Résumé
Liver performs several important functions; however, predicting its functions is difficult. Methods of analyzing gene expression profiles, for example, microarray, provide functional information of tissues. Liver and peripheral blood leukocytes (PBLs) were collected from Holstein cows subjected to two different physiological conditions (non-pregnant and pregnant), and PBLs were fractionated by gradient cell separation. RNA from PBLs and liver were applied to oligo-DNA microarray and reverse transcription-quantitative polymerase chain reaction (RT-qPCR). It revealed a group of stable bovine liver genes under constant physiological conditions. When they applied to physiological conditions including non-pregnant and pregnant, the profiles of some genes in liver were consistent with those in PBLs. Microarray data subjected to a principal component analysis (PCA) showed that the hepatic gene expression profiles were more consistent with those of granulocytes than mononuclear cells. The relationship of gene profiles in liver with granulocytes was confirmed by RT-qPCR and hierarchical cluster analysis. Gene profiles of granulocytes were more reliable than those of mononuclear cells, which reflected liver functions. These results suggest that the genes expressed in PBLs, particularly granulocytes, may be convenient bioindicators for the diagnosis of clinical disorder and/or detecting aberration of liver functions in cows subjected to different physiological conditions.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e13324Subventions
Organisme : Adaptable and Seamless Technology
Pays : International
Organisme : Japan Science and Technology Agency
Pays : International
Informations de copyright
© 2019 Japanese Society of Animal Science.
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