已入深夜,您辛苦了!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!祝你早点完成任务,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
刚刚
1秒前
1秒前
俯冲食堂完成签到,获得积分10
1秒前
4秒前
Ganann发布了新的文献求助10
5秒前
奶酪芝士发布了新的文献求助10
5秒前
Claire_Xiang应助RiccaChen采纳,获得20
5秒前
6秒前
wy.he应助聪明的大树采纳,获得10
6秒前
卓头OvQ发布了新的文献求助10
6秒前
ontheway发布了新的文献求助10
8秒前
平淡冷发布了新的文献求助10
11秒前
过昭关发布了新的文献求助10
11秒前
小马甲应助烤冷面采纳,获得10
11秒前
香蕉觅云应助坚强的初夏采纳,获得10
12秒前
13秒前
14秒前
碧蓝靳完成签到,获得积分10
14秒前
15秒前
16秒前
今后应助丁浩添采纳,获得10
16秒前
16秒前
大个应助开朗的紫萱采纳,获得10
17秒前
dadawang发布了新的文献求助10
17秒前
HJJHJH发布了新的文献求助20
17秒前
WZT发布了新的文献求助10
18秒前
19秒前
19秒前
Yu发布了新的文献求助10
21秒前
22秒前
聊自明媚发布了新的文献求助30
22秒前
过昭关完成签到,获得积分10
23秒前
星期8完成签到,获得积分10
23秒前
充电宝应助HJJHJH采纳,获得10
24秒前
25秒前
27秒前
28秒前
28秒前
阿末发布了新的文献求助10
29秒前
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
Encyclopedia of Forensic and Legal Medicine Third Edition 5000
Introduction to strong mixing conditions volume 1-3 5000
the Oxford Guide to the Bantu Languages 3000
Agyptische Geschichte der 21.30. Dynastie 3000
„Semitische Wissenschaften“? 1510
从k到英国情人 1500
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 5763257
求助须知:如何正确求助?哪些是违规求助? 5539799
关于积分的说明 15404550
捐赠科研通 4899105
什么是DOI,文献DOI怎么找? 2635329
邀请新用户注册赠送积分活动 1583419
关于科研通互助平台的介绍 1538503