近日,美国约翰·霍普金斯大学的的学者们对672名老年人进行研究,发现血液中的循环游离线粒体DNA片段(ccf-mtDNA)是衰老和炎症的重要生物标志物。 ccf-mtDNA片段的大小和丰度可能表明细胞死亡的机制:长ccf-mtDNA片段与细胞坏死等细胞死亡过程相关,且与年龄相关的身体功能受损有关。
Background Circulating cell-free mitochondrial DNA (ccf-mtDNA), a measure of mitochondrial dysfunction, is emerging as a potential biomarker for early Alzheimer's disease (AD). Decreased levels of cerebrospinal fluid ccf-mtDNA concentrations have been detected in early AD patients. Few stud...
Fragments of mitochondrial DNA (mtDNA) are released outside the cell and they appear to persist in extracellular fluids as circulating, cell-free, mtDNA (ccf-mtDNA). When compared to nuclear DNA, such a double stranded mtDNA is more resistant to nuclease degradation. In fact, it is stable ex...
基于mtDNA-COII基因部分序列探讨蟋蟀科五属的进化关系(直翅目:蟋蟀科) 采用DNA测序技术并比较了蟋蟀科5个属:斗蟋属Velarifictorus,棺头蟋属Loxoblemmus,油葫芦属Teleogryllus,灶蟋属Gryllodes和蟋蟀属Gryllus以及蛉蟋科针蟋亚科Allonemobi... 寇静,廉振民 - 《昆虫分类学报》 被引量: 45发表: 2006年 基于mtDNA-...
关于mtDNA的复制特点表述错误的是:()。的答案是什么.用刷刷题APP,拍照搜索答疑.刷刷题(shuashuati.com)是专业的大学职业搜题找答案,刷题练习的工具.一键将文档转化为在线题库手机刷题,以提高学习效率,是学习的生产力工具
某一人群的群体演化历史越短,则说明他们的mtDNA变异越大。()A.正确B.错误的答案是什么.用刷刷题APP,拍照搜索答疑.刷刷题(shuashuati.com)是专业的大学职业搜题找答案,刷题练习的工具.一键将文档转化为在线题库手机刷题,以提高学习效率,是学习的生产力工具
ccf-mtDNAStress reactivityMitokineMachine learningObjectiveWe have previously found that acute psychological stress may affect mitochondria and trigger an increase in serum mitochondrial DNA, known as circulating cell-free mtDNA (ccf-mtDNA). Similar to other stress reactivity measures, there are ...
藏绵羊mtDNA D-loop区的长度异质性研究 用PCR技术扩增藏绵羊线粒体DNA(mtDNA)控制区时,发现藏绵羊群体中存在个体间和 个体内的mtDNA长度变异现象.DNA测序表明,长度变异发生在mtDNA D-loop区靠近tRNApro220～... 冯政,刘贵生,武华玉,... - 《湖北农业科学》 被引量: 8发表: 2011年 绵羊线粒体DNA D-loop区...
Circulating Cell-Free Mitochondrial DNA (ccf-MtDNA) in Adults With and Without Early Adversity Following Acute Psychosocial Stressor: A Pilot Studydoi:10.1016/j.biopsych.2020.02.401Teresa DanielsEmily ZitkovskyDestiny PriceAbigail PattersonAudrey Tyrka...
Acute psychological stress and ccf-mtDNA reactivity: Psycho-physiological profiles of high responders using multivariate classification algorithmsdoi:10.1016/j.psyneuen.2018.12.135Caroline TrumpffAnna L. MarslandJudith E. CarrollJames L. MartinRichard P. Sloan...