亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

A systematic analysis of heart transcriptome highlights divergent cardiovascular disease pathways between animal models and humans

转录组 生物 基因 计算生物学 基因表达 遗传学 疾病 同源基因 基因调控网络 基因组 医学 内科学
作者
Yuqi Zhao,Zizhang Sheng,Jing‐Fei Huang
出处
期刊:Molecular BioSystems [The Royal Society of Chemistry]
卷期号:8 (2): 504-510 被引量:16
标识
DOI:10.1039/c1mb05415e
摘要

Animal models have been extensively used in the study of cardiovascular disease (CVD) and have provided important insights into disease pathogenesis and drug development. However, the level of conservation of gene expression patterns of the orthologous genes between human and animal models was unclear. To address this issue, we compared the expression of orthologous genes in human and four models (rhesus, rat, mouse and dog), based on 42 normal heart samples with high quality gene expression data. The results show that the global expression profiles between animal model and human orthologous genes are highly preserved. The phylogenetic tree inferred from the gene expression profiles has similar topology to that of the species tree. However, differentially expressed genes (DEGs) between human and each model were identified and these four gene datasets are enriched with different molecular functions, including hormone–receptor binding and geranyl transferase activity. The 65 overlapped DEGs between four sets are involved in thyroid cancer, proteasome systems, aminoacyl-tRNA biosynthesis and GST (Glycine, Serine and Threonine) metabolism, of which functions are divergent between models and humans. In addition, 46.2% (30/65) of the communal genes have been experimentally proven to be associated with cardiovascular disease. Next, we constructed a co-expression network based on intra- and inter-species variation, to elucidate the altered network organization. It indicates that these DEGs evolved as modules rather than independently. The integrated heart transcriptome data should provide a valuable resource for the in-depth understanding of cardiology and the development of cardiovascular disease models.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
嘟嘟嘟嘟完成签到,获得积分10
1秒前
2秒前
3秒前
5秒前
嘟嘟嘟嘟发布了新的文献求助10
7秒前
CipherSage应助霸气乐菱采纳,获得10
8秒前
活力的三娘完成签到,获得积分20
9秒前
ECD发布了新的文献求助10
10秒前
filter发布了新的文献求助30
11秒前
量子星尘发布了新的文献求助10
12秒前
14秒前
max完成签到,获得积分10
19秒前
lee完成签到 ,获得积分10
19秒前
Yzy发布了新的文献求助10
21秒前
123发布了新的文献求助10
23秒前
星辰大海应助Moona采纳,获得30
24秒前
年轻的孤晴完成签到 ,获得积分10
25秒前
jianglan完成签到,获得积分10
29秒前
明亮的咖啡豆完成签到,获得积分10
29秒前
30秒前
马凯鹏完成签到,获得积分10
33秒前
艾欧勾勾完成签到 ,获得积分10
33秒前
Jade0259完成签到 ,获得积分10
42秒前
Moona完成签到,获得积分10
46秒前
wu关闭了wu文献求助
48秒前
偷喝气泡水完成签到,获得积分10
51秒前
852应助老鼠耗子采纳,获得10
56秒前
海岸完成签到,获得积分10
56秒前
小白菜完成签到 ,获得积分10
1分钟前
1分钟前
astalavista发布了新的文献求助10
1分钟前
1分钟前
wanci应助羞涩的寒松采纳,获得10
1分钟前
老鼠耗子发布了新的文献求助10
1分钟前
Aurora发布了新的文献求助10
1分钟前
1分钟前
1分钟前
1分钟前
1分钟前
科研通AI6应助科研通管家采纳,获得10
1分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 2000
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1000
Russian Foreign Policy: Change and Continuity 800
Real World Research, 5th Edition 800
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5714244
求助须知:如何正确求助?哪些是违规求助? 5222163
关于积分的说明 15273002
捐赠科研通 4865715
什么是DOI,文献DOI怎么找? 2612323
邀请新用户注册赠送积分活动 1562451
关于科研通互助平台的介绍 1519674