High-throughput single telomere analysis using DNA microarray and fluorescent in situ hybridization.


Journal

Nucleic acids research
ISSN: 1362-4962
Titre abrégé: Nucleic Acids Res
Pays: England
ID NLM: 0411011

Informations de publication

Date de publication:
18 Sep 2024
Historique:
accepted: 09 09 2024
revised: 30 08 2024
received: 06 04 2024
medline: 18 9 2024
pubmed: 18 9 2024
entrez: 18 9 2024
Statut: aheadofprint

Résumé

The human telomere system is highly dynamic. Both short and long leucocyte average telomere lengths (aTL) are associated with an increased risk of cancer and early death, illustrating the complex relationship between TL and human health and the importance of assessing TL distributions with single TL analysis. A DNA microarray and telomere fluorescent in situ hybridization (DNA-array-FISH) approach was developed to measure the base-pair (bp) lengths of single telomeres. On average 32000 telomeres were measured per DNA sample with one microarray chip assaying 96 test DNA samples. Various telomere parameters, i.e. aTL and the frequency of short/long telomeres, were computed to delineate TL distribution. The intra-assay and inter-assay coefficient of variations of aTL ranged from 1.37% to 3.98%. The correlation coefficient (r) of aTL in repeated measurements ranged from 0.91 to 1.00, demonstrating high measurement precision. aTLs measured by DNA-array-FISH predicted aTLs measured by terminal restriction fragment (TRF) analysis with r ranging 0.87-0.99. A new accurate and high-throughput method has been developed to measure the bp lengths of single telomeres. The large number of single TL data provides an opportunity for an in-depth analysis of telomere dynamics and the complex relationship between telomere and age-related diseases.

Identifiants

pubmed: 39291738
pii: 7759986
doi: 10.1093/nar/gkae812
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : National Institute of Health
ID : U01ES011786
Organisme : Georgetown University

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press on behalf of Nucleic Acids Research.

Auteurs

Yun-Ling Zheng (YL)

Cancer Prevention and Control Program, Department of Oncology, Georgetown University Medical Center, Georgetown University, Washington, DC 20057, USA.

Xingjia Wu (X)

Cancer Prevention and Control Program, Department of Oncology, Georgetown University Medical Center, Georgetown University, Washington, DC 20057, USA.

Madeline Williams (M)

Cancer Prevention and Control Program, Department of Oncology, Georgetown University Medical Center, Georgetown University, Washington, DC 20057, USA.

Simon Verhulst (S)

Groningen Institute for Evolutionary Life Sciences, University of Groningen, Groningen, The Netherlands.

Jue Lin (J)

Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA 94143, USA.

Yusuke Takahashi (Y)

Department of Biochemistry, Wake Forest School of Medicine, NC 27157, USA.

Jian-Xing Ma (JX)

Department of Biochemistry, Wake Forest School of Medicine, NC 27157, USA.

Ying Wang (Y)

TelohealthDx, LLC, Clarksburg, MD 20871, USA.

Classifications MeSH