DNA-RNA Hybrid (R-Loop): From a Unified Picture of the Mammalian Telomere to the Genome-Wide Profile.


Journal

Cells
ISSN: 2073-4409
Titre abrégé: Cells
Pays: Switzerland
ID NLM: 101600052

Informations de publication

Date de publication:
19 06 2021
Historique:
received: 28 04 2021
revised: 11 06 2021
accepted: 16 06 2021
entrez: 2 7 2021
pubmed: 3 7 2021
medline: 27 10 2021
Statut: epublish

Résumé

Local three-stranded DNA/RNA hybrid regions of genomes (R-loops) have been detected either by binding of a monoclonal antibody (DRIP assay) or by enzymatic recognition by RNaseH. Such a structure has been postulated for mouse and human telomeres, clearly suggested by the identification of the complementary RNA Telomeric repeat-containing RNA "TERRA". However, the tremendous disparity in the information obtained with antibody-based technology drove us to investigate a new strategy. Based on the observation that DNA/RNA hybrids in a triplex complex genome co-purify with the double-stranded chromosomal DNA fraction, we developed a direct preparative approach from total protein-free cellular extract without antibody that allows their physical isolation and determination of their RNA nucleotide sequence. We then define in the normal mouse and human sperm genomes the notion of stable DNA associated RNA terminal R-loop complexes, including TERRA molecules synthesized from local promoters of every chromosome. Furthermore, the first strong evidence of all telomeric structures, applied additionally to the whole murine sperm genome compared to the testes, showed reproducible R-loop complexes of the whole genome and suggesting a defined profile in the sperm genome for the next generation.

Identifiants

pubmed: 34205454
pii: cells10061556
doi: 10.3390/cells10061556
pmc: PMC8233970
pii:
doi:

Substances chimiques

RNA, Long Noncoding 0
DNA 9007-49-2

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : La Fondation Nestlé France
ID : 2019-2020 Minoo Rassoulzadegan

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Auteurs

Minoo Rassoulzadegan (M)

Université Cote d'Azur (UCA), INSERM-CNRS, IRCAN, 06107 Nice, France.

Ali Sharifi-Zarchi (A)

Computer Engineering Department, Sharif University of Technology, Tehran 1458889694, Iran.

Leila Kianmehr (L)

Animal Sciences and Biotechnology Department, Faculty of Life Sciences and Biotechnology, Shahid Beheshti University, Tehran 1983963113, Iran.

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Classifications MeSH