Sea bass ghrelin: molecular cloning and mRNA quantification during fasting and refeeding.

来自 PUBMED

作者:

Terova GRimoldi SBernardini GGornati RSaroglia M

展开

摘要:

Ghrelin is a novel appetite-inducing peptide hormone secreted by the stomach. The purpose of this study was first to identify the cDNA encoding sequence for ghrelin in sea bass (Dicentrarchus labrax). Using molecular cloning techniques we sequenced the cDNA corresponding to sea bass ghrelin mRNA. A total of 798 bases including a 5'-untranslated region (89 bp), an open reading frame (ORF) (324 bp), and a 3'-untranslated region (385 bp) were detected. Nucleotide sequence (ORF) encoded a 108 amino acid prepropeptide that demonstrated complete conservation of the N-terminal "biological active core" (GSSF) of the predicted mature ghrelin peptide. We also analyzed fasting-induced changes in the expression of ghrelin mRNA, using a one-tube two-temperature real-time RT-PCR with which the gene expression can be absolutely quantified using the standard curve method. Our results revealed that ghrelin was highly expressed in the stomach with much lower levels of expression in the proximal intestine and brain. Levels of ghrelin mRNA in the stomach were upregulated under conditions of negative energy balance, such as starvation, and downregulated during positive energy balance, such as refeeding. These findings offer new information about the sea bass ghrelin gene and support a role of this orexigenic hormone in the regulation of food intake in sea bass.

收起

展开

DOI:

10.1016/j.ygcen.2007.05.028

被引量:

17

年份:

1970

SCI-Hub (全网免费下载) 发表链接

通过 文献互助 平台发起求助,成功后即可免费获取论文全文。

查看求助

求助方法1:

知识发现用户

每天可免费求助50篇

求助

求助方法1:

关注微信公众号

每天可免费求助2篇

求助方法2:

求助需要支付5个财富值

您现在财富值不足

您可以通过 应助全文 获取财富值

求助方法2:

完成求助需要支付5财富值

您目前有 1000 财富值

求助

我们已与文献出版商建立了直接购买合作。

你可以通过身份认证进行实名认证,认证成功后本次下载的费用将由您所在的图书馆支付

您可以直接购买此文献,1~5分钟即可下载全文,部分资源由于网络原因可能需要更长时间,请您耐心等待哦~

身份认证 全文购买

相似文献(330)

参考文献(0)

引证文献(17)

来源期刊

GENERAL AND COMPARATIVE ENDOCRINOLOGY

影响因子:3.252

JCR分区: 暂无

中科院分区:暂无

研究点推荐

关于我们

zlive学术集成海量学术资源,融合人工智能、深度学习、大数据分析等技术,为科研工作者提供全面快捷的学术服务。在这里我们不忘初心,砥砺前行。

友情链接

联系我们

合作与服务

©2024 zlive学术声明使用前必读