Open Access
Nucleic Acids Research, volume 48, issue 12, pages 6699-6714
Studying RNA–DNA interactome by Red-C identifies noncoding RNAs associated with various chromatin types and reveals transcription dynamics
Anastasiya A Zharikova
1, 2, 3, 4
,
Natalia M Rubanova
1
,
Arkadiy K Golov
1, 5
,
Nadezhda V. Petrova
1
,
Maria D. Logacheva
6
,
Omar L. Kantidze
1
,
Mikhail D Magnitov
1, 7
,
С. В. Разин
1, 8
,
Alexey Gavrilov
1, 7
,
Aleksandra A Galitsyna
1, 2, 3, 6
,
Artem V. Luzhin
1, 7
,
Sergey V. Ulianov
1, 8
,
Andrey E. Mironov
2, 3, 9
2
Faculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University, Moscow, Russia
|
4
National Medical Research Center for Preventive Medicine, Ministry of Healthcare of the Russian Federation, Moscow, Russia
|
5
Mental Health Research Center, Moscow, Russia
|
8
Faculty of Biology, Lomonosov Moscow State University, Moscow, Russia
|
Publication type: Journal Article
Publication date: 2020-06-01
Journal:
Nucleic Acids Research
Q1
Q1
SJR: 7.048
CiteScore: 27.1
Impact factor: 16.6
ISSN: 03051048, 13624962
PubMed ID:
32479626
Genetics
Abstract
Abstract Non-coding RNAs (ncRNAs) participate in various biological processes, including regulating transcription and sustaining genome 3D organization. Here, we present a method termed Red-C that exploits proximity ligation to identify contacts with the genome for all RNA molecules present in the nucleus. Using Red-C, we uncovered the RNA–DNA interactome of human K562 cells and identified hundreds of ncRNAs enriched in active or repressed chromatin, including previously undescribed RNAs. Analysis of the RNA–DNA interactome also allowed us to trace the kinetics of messenger RNA production. Our data support the model of co-transcriptional intron splicing, but not the hypothesis of the circularization of actively transcribed genes.
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Zharikova A. A. et al. Studying RNA–DNA interactome by Red-C identifies noncoding RNAs associated with various chromatin types and reveals transcription dynamics // Nucleic Acids Research. 2020. Vol. 48. No. 12. pp. 6699-6714.
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Zharikova A. A., Rubanova N. M., Golov A. K., Petrova N. V., Logacheva M. D., Kantidze O. L., Magnitov M. D., Разин С. В., Gavrilov A., Galitsyna A. A., Luzhin A. V., Ulianov S. V., Mironov A. E. Studying RNA–DNA interactome by Red-C identifies noncoding RNAs associated with various chromatin types and reveals transcription dynamics // Nucleic Acids Research. 2020. Vol. 48. No. 12. pp. 6699-6714.
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TY - JOUR
DO - 10.1093/nar/gkaa457
UR - https://doi.org/10.1093/nar/gkaa457
TI - Studying RNA–DNA interactome by Red-C identifies noncoding RNAs associated with various chromatin types and reveals transcription dynamics
T2 - Nucleic Acids Research
AU - Zharikova, Anastasiya A
AU - Rubanova, Natalia M
AU - Golov, Arkadiy K
AU - Petrova, Nadezhda V.
AU - Logacheva, Maria D.
AU - Kantidze, Omar L.
AU - Magnitov, Mikhail D
AU - Разин, С. В.
AU - Gavrilov, Alexey
AU - Galitsyna, Aleksandra A
AU - Luzhin, Artem V.
AU - Ulianov, Sergey V.
AU - Mironov, Andrey E.
PY - 2020
DA - 2020/06/01
PB - Oxford University Press
SP - 6699-6714
IS - 12
VL - 48
PMID - 32479626
SN - 0305-1048
SN - 1362-4962
ER -
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BibTex (up to 50 authors)
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@article{2020_Zharikova,
author = {Anastasiya A Zharikova and Natalia M Rubanova and Arkadiy K Golov and Nadezhda V. Petrova and Maria D. Logacheva and Omar L. Kantidze and Mikhail D Magnitov and С. В. Разин and Alexey Gavrilov and Aleksandra A Galitsyna and Artem V. Luzhin and Sergey V. Ulianov and Andrey E. Mironov},
title = {Studying RNA–DNA interactome by Red-C identifies noncoding RNAs associated with various chromatin types and reveals transcription dynamics},
journal = {Nucleic Acids Research},
year = {2020},
volume = {48},
publisher = {Oxford University Press},
month = {jun},
url = {https://doi.org/10.1093/nar/gkaa457},
number = {12},
pages = {6699--6714},
doi = {10.1093/nar/gkaa457}
}
Cite this
MLA
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Zharikova, Anastasiya A., et al. “Studying RNA–DNA interactome by Red-C identifies noncoding RNAs associated with various chromatin types and reveals transcription dynamics.” Nucleic Acids Research, vol. 48, no. 12, Jun. 2020, pp. 6699-6714. https://doi.org/10.1093/nar/gkaa457.