A method for measuring the distribution of the shortest telomeres in cells and tissues.

A method for measuring the distribution of the shortest telomeres in cells and tissues.
复制标题

DOI:
10.1038/s41467-017-01291-z
复制
发表时间:
2017-11-07
影响因子:
16.6
通讯作者:
Shay JW
Shay JW
中科院分区:
综合性期刊1区
文献类型:
--
作者:
Lai TP;Zhang N;Noh J;Mender I;Tedone E;Huang E;Wright WE;Danuser G;Shay JW

文献摘要

参考文献

被引文献

相似文献

需要改进测量最短(而不仅仅是平均)端粒长度(TL)的方法。我们开发了端粒最短长度测定(TeSLA),这是一种使用少量输入DNA检测来自所有染色体末端的端粒的技术,从<1 kb到18 kb。TeSLA提高了TL测量的特异性和效率,用户友好的图像处理软件可以自动检测和注释条带大小,计算平均TL以及最短端粒的百分比。与其他TL测量方法相比,TeSLA提供了更多有关最短端粒的信息。在人类衰老期间的外周血单核细胞中,在结肠癌进展期间的组织中,在端粒相关疾病如特发性肺纤维化中,以及在小鼠和其他生物体中,纵向测量端粒的长度。结果表明,TeSLA是一个强大的方法,提供了一个更好的理解端粒的最短长度。短端粒是衰老的标志,可导致基因组不稳定以及癌症进展。在这里,作者提出了TeSLA,一种准确检测长度小于1 kb的端粒的技术。
Improved methods to measure the shortest (not just average) telomere lengths (TLs) are needed. We developed Telomere Shortest Length Assay (TeSLA), a technique that detects telomeres from all chromosome ends from <1 kb to 18 kb using small amounts of input DNA. TeSLA improves the specificity and efficiency of TL measurements that is facilitated by user friendly image-processing software to automatically detect and annotate band sizes, calculate average TL, as well as the percent of the shortest telomeres. Compared with other TL measurement methods, TeSLA provides more information about the shortest telomeres. The length of telomeres was measured longitudinally in peripheral blood mononuclear cells during human aging, in tissues during colon cancer progression, in telomere-related diseases such as idiopathic pulmonary fibrosis, as well as in mice and other organisms. The results indicate that TeSLA is a robust method that provides a better understanding of the shortest length of telomeres. Short telomeres are a hallmark of senescence and can result in genomic instability as well as cancer progression. Here, the authors present TeSLA, a technique to accurately detect telomeres under 1 kb in length.
DOI: 10.1038/nrm2718
发表时间: 2009-07
期刊: Nature reviews. Molecular cell biology
影响因子: --
作者:
通讯作者: --
DOI: 10.1016/j.mrfmmm.2011.04.003
发表时间: 2012-02-01
影响因子: 2.3
作者:
Aubert, Geraldine;Hills, Mark;Lansdorp, Peter M.
通讯作者: Lansdorp, Peter M.
DOI: 10.1038/nrg3246
发表时间: 2012-10
期刊: Nature reviews. Genetics
影响因子: --
作者:
通讯作者: --
DOI: 10.1164/rccm.200804-550oc
发表时间: 2008-10-01
影响因子: 24.7
作者:
Cronkhite, Jennifer T.;Xing, Chao;Garcia, Christine Kim
通讯作者: Garcia, Christine Kim
DOI: 10.1093/nar/gku181
发表时间: 2014-05
影响因子: 14.9
作者:
Ding Z;Mangino M;Aviv A;Spector T;Durbin R;UK10K Consortium
通讯作者: UK10K Consortium