Changes in Expression of Apoptosis-Associated Genes in Skin Mark Early Catagen

毛囊 头发周期 细胞凋亡 生物 细胞生物学 毛乳头 基因表达 程序性细胞死亡 基因 脱发 转录因子 信号转导 AP-1转录因子 细胞周期 遗传学
作者
Miri Seiberg,Jeffrey Marthinuss,Kurt S. Stenn
出处
期刊:Journal of Investigative Dermatology [Elsevier]
卷期号:104 (1): 78-82 被引量:99
标识
DOI:10.1111/1523-1747.ep12613555
摘要

Programmed cell death is central to hair biology, as the hair follicle undergoes cycles of growth (anagen), regression (catagen), and rest (telogen). During catagen, the hair follicle shortens via a pathway of programmed cell death and apoptosis. The molecular mechanisms involved in this process have not been elucidated yet. Using reverse transcriptase-polymerase chain reaction, we examined in this study the expression in total skin, throughout one hair cycle, of a series of regulatory genes associated with apoptosis. We show that gene expression within skin is hair-cycle-dependent. Transforming growth factor-beta was expressed immediately before catagen; therefore, it might be involved in the early signaling of this process. Tumor necrosis factor-beta was expressed during catagen and might be involved in follicular apoptosis. Several proto-oncogenes and transcription factors have been described in the regulation of apoptosis in other systems. Here we show that the transcript levels of c-myc, c-myb, and c-jun changed immediately before or during early catagen and thus could be involved in the signaling or regulation of catagen. Levels of p53 remained constant throughout anagen and catagen, suggesting that p53 is not involved in the developmentally induced apoptosis of the hair follicle. The variable expression throughout the hair cycle of the genes described demonstrates the dynamic changes of the skin and underscores the importance of studying the complete hair cycle when characterizing any molecule in skin.

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
mangojuice发布了新的文献求助10
刚刚
bkagyin应助最好采纳,获得10
刚刚
Sally应助li1_李采纳,获得10
1秒前
Akim应助袁子晴采纳,获得10
2秒前
Sea_U发布了新的文献求助10
3秒前
科研通AI6.1应助预测于采纳,获得10
4秒前
理想国的过客完成签到,获得积分10
4秒前
su完成签到,获得积分10
5秒前
郭笑完成签到 ,获得积分20
5秒前
baozeNG发布了新的文献求助10
5秒前
123456发布了新的文献求助10
5秒前
5秒前
6秒前
花开花落发布了新的文献求助10
7秒前
afrex完成签到,获得积分10
7秒前
7秒前
小巧的傲松完成签到,获得积分10
7秒前
骂我便秘发布了新的文献求助10
8秒前
9秒前
爆米花应助mookie采纳,获得10
9秒前
wybe完成签到,获得积分10
9秒前
任成蹊完成签到,获得积分10
10秒前
小二郎应助坦率的刺猬采纳,获得10
10秒前
缥缈冰珍发布了新的文献求助10
10秒前
称心的砖家完成签到,获得积分10
11秒前
11秒前
蔡蔡蔡发布了新的文献求助10
12秒前
不扯先生完成签到,获得积分10
12秒前
完美世界应助花开花落采纳,获得10
12秒前
大模型应助冷艳的二娘采纳,获得10
13秒前
YaKE发布了新的文献求助10
14秒前
14秒前
细心的语蓉完成签到,获得积分10
15秒前
Jasper应助ttt采纳,获得10
15秒前
英俊的铭应助xlH采纳,获得10
16秒前
xlh完成签到 ,获得积分10
16秒前
祝顺遂发布了新的文献求助10
17秒前
研友_VZG7GZ应助哭泣的恶天采纳,获得10
18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
Kinesiophobia : a new view of chronic pain behavior 3000
Les Mantodea de guyane 2500
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 2000
Signals, Systems, and Signal Processing 510
Discrete-Time Signals and Systems 510
Brittle Fracture in Welded Ships 500
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 5945503
求助须知:如何正确求助?哪些是违规求助? 7099742
关于积分的说明 15900062
捐赠科研通 5077657
什么是DOI,文献DOI怎么找? 2730439
邀请新用户注册赠送积分活动 1690539
关于科研通互助平台的介绍 1614635