Comparative transcriptome analysis of atrial septal defect identifies dysregulated genes during heart septum morphogenesis

生物 转录组 MYH7 关贸总协定 基因 MYH6 心脏发育 细胞周期 细胞生物学 遗传学 内科学 基因表达 医学 基因亚型 胚胎干细胞
作者
Wenju Wang,Zhaoyi Niu,Yi Wang,Yaxiong Li,Honglin Zou,Li Yang,Mingyao Meng,Chuanyu Wei,Qinrui Li,Le Duan,Yanhua Xie,Zhang Yayong,Yu Cao,Shen Han,Zongliu Hou,Lihong Jiang
出处
期刊:Gene [Elsevier BV]
卷期号:575 (2): 303-312 被引量:16
标识
DOI:10.1016/j.gene.2015.09.016
摘要

Congenital heart disease (CHD) is one of most common birth defects, causing fetal loss and death in newborn all over the world. Atrial and ventricular septal defects were the most common CHD subtypes in most districts. During the past decades, several genes were identified to control atrial septum formation, and mutations of these genes can cause cardiac septation defects. However, the pathogenic mechanism of ASD on transcriptional levels has not been well elucidated yet. Herein, we performed comparative transcriptome analysis between normal and atrial septal defect (ASD) patients by Illumina RNA sequencing (RNA-seq). Advanced bioinformatic analyses were employed to identify dysregulated genes in ASD. The results indicated that cardiac specific transcriptional factors (GATA4 and NKX2-5), extracellular signal molecules (VEGFA and BMP10) and cardiac sarcomeric proteins (MYL2, MYL3, MYH7, TNNT1 and TNNT3) were downregulated in ASD which may affect heart atrial septum formation, cardiomyocyte proliferation and cardiac muscle development. Importantly, cell cycle was dominant pathway among downregulated genes, and decreased expression of the proteins included in cell cycle may disturb cardiomyocyte growth and differentiation during atrial septum formation. Our study provided evidences of understanding pathogenic mechanism of ASD and resource for validation of CHD genomic studies.
最长约 10秒,即可获得该文献文件

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
刚刚
李健的粉丝团团长应助bjx采纳,获得10
刚刚
ZoeWei完成签到,获得积分10
刚刚
1秒前
爆米花应助xiaoyuzi采纳,获得10
3秒前
Ling完成签到,获得积分10
5秒前
randomname发布了新的文献求助10
5秒前
ZZJ发布了新的文献求助10
6秒前
6秒前
过时的冬易完成签到,获得积分10
6秒前
大大卷w发布了新的文献求助10
6秒前
6秒前
大模型应助能干夏波采纳,获得10
6秒前
九品芝麻官完成签到,获得积分10
7秒前
柚子树给柚子树的求助进行了留言
7秒前
那些兔儿完成签到 ,获得积分0
8秒前
KeYi完成签到,获得积分10
8秒前
小西米完成签到,获得积分10
8秒前
9秒前
9秒前
9秒前
9秒前
9秒前
10秒前
10秒前
感动的世平完成签到,获得积分10
10秒前
10秒前
xiaoyuzi完成签到,获得积分10
10秒前
11秒前
12秒前
saikun发布了新的文献求助10
12秒前
12秒前
12秒前
赘婿应助小呆鹿采纳,获得10
12秒前
慕青应助tutu采纳,获得10
13秒前
13秒前
13秒前
13秒前
小晨晨发布了新的文献求助10
13秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Machine Learning Methods in Geoscience 1000
Resilience of a Nation: A History of the Military in Rwanda 888
Crystal Nonlinear Optics: with SNLO examples (Second Edition) 500
Measure Mean Linear Intercept 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3731567
求助须知:如何正确求助?哪些是违规求助? 3275907
关于积分的说明 9994466
捐赠科研通 2991430
什么是DOI,文献DOI怎么找? 1641527
邀请新用户注册赠送积分活动 779895
科研通“疑难数据库(出版商)”最低求助积分说明 748498