Transcriptome Sequencing Results of Cell Experiments

NIAID Data Ecosystem2026-05-10 收录

奶牛肝细胞脂质代谢

肝脏转录组分析

数据链接：

https://www.ncbi.nlm.nih.gov/sra/SRP655645 数据链接链接失效反馈

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资源简介：

To investigate the effect of uncarboxylated osteocalcin on lipid metabolism in dairy cow hepatocytes by establishing a fatty liver cell model using palmitic acid treatment.

创建时间：

2025-12-16

RNA-seq of liver tissues in C57BL/6 mice treated with NanoMn or MnCl2 in the presence or absence of MHV-A59 infection.

MHV-A59感染模型

肝脏转录组分析

C57BL/6 mice were untreated or i.p. infected with MHV-A59. 24 hours later, mice were treated with 1.8 mM/kg NanoMn, MnCl2 or PBS (Vechicle) through intraperitoneal injection. For uninfected mice, live

NIAID Data Ecosystem40

Transcriptome analysis of liver tissue from Tm7sf2-KO mouse

肝脏转录组分析

基因敲除功能研究

The nuclear envelope protein Tm7sf2/NET47, a paralog of Lbr preferentially expressed in liver, was knocked out in mouse (C57/B6 background). The transcriptome of livers from WT and KO mice were compar

NIAID Data Ecosystem30

Programming of the hepatic lipid metabolism via a parental high carbohydrate low protein diet in rainbow trout. Programming of the hepatic lipid metabolism via a parental high carbohydrate low protein diet in rainbow trout

鱼类营养代谢编程

肝脏转录组分析

In rainbow trout (Oncorhynchus mykiss), the effect of a paternal and a maternal high carbohydrate-low protein diet was assessed on progeny at long term. To this purpose, two-year old male and female r

NIAID Data Ecosystem20

Swine inflammation and necrosis syndrome is associated with plasma metabolites and liver transcriptome in affected piglets

动物疾病代谢组学

肝脏转录组分析

Swine Inflammation and Necrosis Syndrome (SINS) can lead to severe clinical signs, especially in tails, ears, teats and claws in pigs. Clinical and histopathological findings in newborn piglets with i

NIAID Data Ecosystem30

Bos taurus Transcriptome or Gene expression

奶牛代谢

肝脏转录组分析

During their early lactation, dairy cows experience a severe metabolic load often resulting in the development of various diseases. In this study, we used RNA-seq to identify novel factors crucial for

NIAID Data Ecosystem30

Transcriptome Sequencing Results of Cell Experiments

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