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1.
PLoS One ; 10(7): e0132323, 2015.
Artigo em Inglês | MEDLINE | ID: mdl-26147118

RESUMO

The pig shows genetical and physiological resemblance to human, which predestines it as an experimental animal model especially for mucosal physiology. Therefore, the intestinal epithelial cell lines 1 and J2 (IPEC-1, IPEC-J2)--spontaneously immortalised cell lines from the porcine intestine--are important tools for studying intestinal function. A microarray (GeneChip Porcine Genome Array) was performed to compare the genome wide gene expression of IPECs. Different significantly up-regulated pathways were identified, like "lysosome", "pathways in cancer", "regulation of actin cytoskeleton" and "oxidative phosphorylation" in IPEC-J2 in comparison to IPEC-1. On the other hand, "spliceosome", "ribosome", "RNA-degradation" and "tight junction" are significantly down-regulated pathways in IPEC-J2 in comparison to IPEC-1. Examined pathways were followed up by functional analyses. ATP-, oxygen, glucose and lactate-measurement provide evidence for up-regulation of oxidative phosphorylation in IPEC-J2. These cells seem to be more active in their metabolism than IPEC-1 cells due to a significant higher ATP-content as well as a higher O2- and glucose-consumption. The down-regulated pathway "ribosome" was followed up by measurement of RNA- and protein content. In summary, IPEC-J2 is a morphologically and functionally more differentiated cell line in comparison to IPEC-1. In addition, IPEC-J2 cells are a preferential tool for in vitro studies with the focus on metabolism.


Assuntos
Células Epiteliais/citologia , Mucosa Intestinal/citologia , Intestinos/citologia , Animais , Diferenciação Celular/fisiologia , Linhagem Celular , Forma Celular/fisiologia , Células Epiteliais/metabolismo , Mucosa Intestinal/metabolismo , Fosforilação , Suínos , Regulação para Cima
2.
PLoS One ; 10(4): e0125044, 2015.
Artigo em Inglês | MEDLINE | ID: mdl-25927228

RESUMO

In the past decade the number of studies investigating temperament in farm animals has increased greatly because temperament has been shown not only to affect handling but also reproduction, health and economically important production traits. However, molecular pathways underlying temperament and molecular pathways linking temperament to production traits, health and reproduction have yet to be studied in full detail. Here we report the results of metabolite profiling of the prefrontal cortex and serum of cattle with distinct temperament types that were performed to further explore their molecular divergence in the response to the slaughter procedure and to identify new targets for further research of cattle temperament. By performing an untargeted comprehensive metabolite profiling, 627 and 1097 metabolite features comprising 235 and 328 metabolites could be detected in the prefrontal cortex and serum, respectively. In total, 54 prefrontal cortex and 51 serum metabolite features were indicated to have a high relevance in the classification of temperament types by a sparse partial least square discriminant analysis. A clear discrimination between fearful/neophobic-alert, interested-stressed, subdued/uninterested-calm and outgoing/neophilic-alert temperament types could be observed based on the abundance of the identified relevant prefrontal cortex and serum metabolites. Metabolites with high relevance in the classification of temperament types revealed that the main differences between temperament types in the response to the slaughter procedure were related to the abundance of glycerophospholipids, fatty acyls and sterol lipids. Differences in the abundance of metabolites related to C21 steroid metabolism and oxidative stress indicated that the differences in the metabolite profiles of the four extreme temperament types could be the result of a temperament type specific regulation of molecular pathways that are known to be involved in the stress and fear response.


Assuntos
Metaboloma , Metabolômica , Córtex Pré-Frontal/metabolismo , Soro/metabolismo , Temperamento , Animais , Bovinos , Análise por Conglomerados , Biologia Computacional , Metabolômica/métodos
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