↓ Skip to main content

Impact of flanking chromosomal sequences on localization and silencing by the human non-coding RNA XIST

Overview of attention for article published in Genome Biology, October 2015
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
17 X users
facebook
1 Facebook page
googleplus
2 Google+ users

Citations

dimensions_citation
38 Dimensions

Readers on

mendeley
76 Mendeley
citeulike
3 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
Impact of flanking chromosomal sequences on localization and silencing by the human non-coding RNA XIST
Published in
Genome Biology, October 2015
DOI 10.1186/s13059-015-0774-2
Pubmed ID
Authors

Angela D. Kelsey, Christine Yang, Danny Leung, Jakub Minks, Thomas Dixon-McDougall, Sarah E.L. Baldry, Aaron B. Bogutz, Louis Lefebvre, Carolyn J. Brown

Abstract

X-chromosome inactivation is a striking example of epigenetic silencing in which expression of the long non-coding RNA XIST initiates the heterochromatinization and silencing of one of the pair of X chromosomes in mammalian females. To understand how the RNA can establish silencing across millions of basepairs of DNA we have modelled the process by inducing expression of XIST from nine different locations in human HT1080 cells. Localization of XIST, depletion of Cot-1 RNA, perinuclear localization, and ubiquitination of H2A occurs at all sites examined, while recruitment of H3K9me3 was not observed. Recruitment of the heterochromatic features SMCHD1, macroH2A, H3K27me3, and H4K20me1 occurs independently of each other in an integration site-dependent manner. Silencing of flanking reporter genes occurs at all sites, but the spread of silencing to flanking endogenous human genes is variable in extent of silencing as well as extent of spread, with silencing able to skip regions. The spread of H3K27me3 and loss of H3K27ac correlates with the pre-existing levels of the modifications, and overall the extent of silencing correlates with the ability to recruit additional heterochromatic features. The non-coding RNA XIST functions as a cis-acting silencer when expressed from nine different locations throughout the genome. A hierarchy among the features of heterochromatin reveals the importance of interaction with the local chromatin neighborhood for optimal spread of silencing, as well as the independent yet cooperative nature of the establishment of heterochromatin by the non-coding XIST RNA.

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 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 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 1%
France 1 1%
Finland 1 1%
United Kingdom 1 1%
Singapore 1 1%
Unknown 71 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 28%
Researcher 15 20%
Professor > Associate Professor 7 9%
Student > Master 7 9%
Student > Postgraduate 6 8%
Other 12 16%
Unknown 8 11%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 28 37%
Agricultural and Biological Sciences 21 28%
Computer Science 5 7%
Medicine and Dentistry 3 4%
Engineering 3 4%
Other 7 9%
Unknown 9 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 07 July 2016.
All research outputs
#3,342,721
of 25,373,627 outputs
Outputs from Genome Biology
#2,395
of 4,467 outputs
Outputs of similar age
#43,641
of 287,368 outputs
Outputs of similar age from Genome Biology
#49
of 84 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 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 46th percentile – i.e., 46% 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 287,368 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 84% of its contemporaries.
We're also able to compare this research output to 84 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.