↓ Skip to main content

DNA Topoisomerase I differentially modulates R-loops across the human genome

Overview of attention for article published in Genome Biology, July 2018
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)

Mentioned by

twitter
11 X users
f1000
1 research highlight platform

Citations

dimensions_citation
113 Dimensions

Readers on

mendeley
197 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
DNA Topoisomerase I differentially modulates R-loops across the human genome
Published in
Genome Biology, July 2018
DOI 10.1186/s13059-018-1478-1
Pubmed ID
Authors

Stefano G. Manzo, Stella R. Hartono, Lionel A. Sanz, Jessica Marinello, Sara De Biasi, Andrea Cossarizza, Giovanni Capranico, Frederic Chedin

Abstract

Co-transcriptional R-loops are abundant non-B DNA structures in mammalian genomes. DNA Topoisomerase I (Top1) is often thought to regulate R-loop formation owing to its ability to resolve both positive and negative supercoils. How Top1 regulates R-loop structures at a global level is unknown. Here, we perform high-resolution strand-specific R-loop mapping in human cells depleted for Top1 and find that Top1 depletion results in both R-loop gains and losses at thousands of transcribed loci, delineating two distinct gene classes. R-loop gains are characteristic for long, highly transcribed, genes located in gene-poor regions anchored to Lamin B1 domains and in proximity to H3K9me3-marked heterochromatic patches. R-loop losses, by contrast, occur in gene-rich regions overlapping H3K27me3-marked active replication initiation regions. Interestingly, Top1 depletion coincides with a block of the cell cycle in G0/G1 phase and a trend towards replication delay. Our findings reveal new properties of Top1 in regulating R-loop homeostasis in a context-dependent manner and suggest a potential role for Top1 in modulating the replication process via R-loop formation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 197 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 197 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 43 22%
Researcher 30 15%
Student > Master 21 11%
Student > Bachelor 14 7%
Student > Postgraduate 8 4%
Other 22 11%
Unknown 59 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 91 46%
Agricultural and Biological Sciences 29 15%
Medicine and Dentistry 3 2%
Business, Management and Accounting 2 1%
Physics and Astronomy 2 1%
Other 9 5%
Unknown 61 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 September 2019.
All research outputs
#4,350,364
of 25,600,774 outputs
Outputs from Genome Biology
#2,691
of 4,493 outputs
Outputs of similar age
#76,961
of 341,458 outputs
Outputs of similar age from Genome Biology
#49
of 54 outputs
Altmetric has tracked 25,600,774 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,493 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 341,458 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.