Relationship between regulatory pattern of gene expression level and gene function

作者
Masayo Inoue,Katsuhisa Horimoto
出处
期刊:PLOS ONE [Public Library of Science]
卷期号:12 (5): e0177430-e0177430 被引量:16
标识
DOI:10.1371/journal.pone.0177430
摘要

Regulation of gene expression levels is essential for all living systems and transcription factors (TFs) are the main regulators of gene expression through their ability to repress or induce transcription. A balance between synthesis and degradation rates controls gene expression levels. To determine which rate is dominant, we analyzed the correlation between expression levels of a TF and its regulated gene based on a mathematical model. We selected about 280,000 expression patterns of 355 TFs and 647 regulated genes using DNA microarray data from the Gene Expression Omnibus (GEO) data repository. Based on our model, correlation between the expressions of TF-regulated gene pairs corresponds to tuning of the synthesis rate, whereas no correlation indicates excessive synthesis and requires tuning of the degradation rate. The gene expression relationships between TF-regulated gene pairs were classified into four types that correspond to different gene regulatory mechanisms. It was surprising that fewer than 20% of these genes were governed by the familiar regulatory mechanism, i.e., through the synthesis rate. Moreover, we performed pathway analysis and found that each classification type corresponded to distinct gene functions: cellular regulation pathways were dominant in the type with synthesis rate regulation and terms associated with diseases such as cancer, Parkinson's disease, and Alzheimer's disease were dominant in the type with degradation rate regulation. Interestingly, these diseases are caused by the accumulation of proteins. These results indicated that gene expression is regulated structurally, not arbitrarily, according to the gene function. This funding is indicative of a systematic control of transcription processes at the whole-cell level.

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
1秒前
机智书本发布了新的文献求助20
1秒前
小蘑菇应助刘恩瑜采纳,获得10
1秒前
suleisusu发布了新的文献求助10
1秒前
雷州阿石发布了新的文献求助10
2秒前
2秒前
所所应助可可采纳,获得10
2秒前
乐观兰发布了新的文献求助10
3秒前
苹果电源完成签到,获得积分10
3秒前
LLL完成签到,获得积分20
4秒前
小明发布了新的文献求助10
4秒前
鹅小小发布了新的文献求助10
4秒前
4秒前
完美世界应助lili采纳,获得10
4秒前
和谐夏烟发布了新的文献求助10
5秒前
彭于晏应助caochuang采纳,获得10
5秒前
老北京发布了新的文献求助10
5秒前
深情安青应助给你一beizi3采纳,获得10
6秒前
苹果电源发布了新的文献求助10
6秒前
申思发布了新的文献求助10
6秒前
朴素碧琴发布了新的文献求助10
6秒前
vebb完成签到,获得积分10
6秒前
7秒前
Orange应助一道精致的灰采纳,获得10
7秒前
我不到啊发布了新的文献求助10
7秒前
菜菜发布了新的文献求助30
8秒前
充电宝应助有点咸采纳,获得10
8秒前
情怀应助ysh123456789采纳,获得10
8秒前
9秒前
9秒前
9秒前
9秒前
天天快乐应助跳跃幼荷采纳,获得10
9秒前
9秒前
老f发布了新的文献求助10
10秒前
10秒前
10秒前
幽默的乘风完成签到,获得积分0
11秒前
11秒前
11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
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场现状调查及投资机会研判报告 1000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场规模及竞争格局分析报告 1000
模型平均及其应用 900
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
作者名:Kristopher P. Plain,悉尼大学的,目前只能查到其四篇论文,想找到其博士论文 550
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7335065
求助须知:如何正确求助?哪些是违规求助? 8949164
关于积分的说明 18988836
捐赠科研通 6988836
什么是DOI,文献DOI怎么找? 3217595
关于科研通互助平台的介绍 2383788
邀请新用户注册赠送积分活动 2197655