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A method for measuring the distribution of the shortest telomeres in cells and tissues
Tsung‐Po Lai, Ning Zhang, Jungsik Noh, İlgen Mender, Enzo Tedone, Ejun Huang, Woodring E. Wright, Gaudenz Danuser, Jerry W. Shay
Nature Communications · 2017 · ▲ 170 citations
Abstract
Improved methods to measure the shortest (not just average) telomere(definition) 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.
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- 10.1038/s41467-017-01291-z
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- 2026-07-16 MST
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APA
Lai, T., Zhang, N., Noh, J., Mender, �., Tedone, E., Huang, E., Wright, W.E., Danuser, G., & Shay, J.W. (2017). A method for measuring the distribution of the shortest telomeres in cells and tissues. <em>Nature Communications</em>. https://doi.org/10.1038/s41467-017-01291-z
Vancouver
Lai T, Zhang N, Noh J, Mender �, Tedone E, Huang E, et al. A method for measuring the distribution of the shortest telomeres in cells and tissues. Nature Communications. 2017. doi:10.1038/s41467-017-01291-z.
BibTeX
@article{tsungpo2017Ametho,
title = {A method for measuring the distribution of the shortest telomeres in cells and tissues},
author = {Tsung‐Po Lai and Ning Zhang and Jungsik Noh and İlgen Mender and Enzo Tedone and Ejun Huang and Woodring E. Wright and Gaudenz Danuser and Jerry W. Shay},
journal = {Nature Communications},
year = {2017},
doi = {10.1038/s41467-017-01291-z},
}
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