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Trans effects of chromosome aneuploidies on DNA methylation patterns in human Down syndrome and mouse models

Overview of attention for article published in Genome Biology, November 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • Average Attention Score compared to outputs of the same age and source

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21 X users
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4 Facebook pages
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1 Google+ user

Citations

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Title
Trans effects of chromosome aneuploidies on DNA methylation patterns in human Down syndrome and mouse models
Published in
Genome Biology, November 2015
DOI 10.1186/s13059-015-0827-6
Pubmed ID
Authors

Maite Mendioroz, Catherine Do, Xiaoling Jiang, Chunhong Liu, Huferesh K. Darbary, Charles F. Lang, John Lin, Anna Thomas, Sayeda Abu-Amero, Philip Stanier, Alexis Temkin, Alexander Yale, Meng-Min Liu, Yang Li, Martha Salas, Kristi Kerkel, George Capone, Wayne Silverman, Y. Eugene Yu, Gudrun Moore, Jerzy Wegiel, Benjamin Tycko

Abstract

Trisomy 21 causes Down syndrome (DS), but the mechanisms by which the extra chromosome leads to deficient intellectual and immune function are not well understood. Here, we profile CpG methylation in DS and control cerebral and cerebellar cortex of adults and cerebrum of fetuses. We purify neuronal and non-neuronal nuclei and T lymphocytes and find biologically relevant genes with DS-specific methylation (DS-DM) in each of these cell types. Some genes show brain-specific DS-DM, while others show stronger DS-DM in T cells. Both 5-methyl-cytosine and 5-hydroxy-methyl-cytosine contribute to the DS-DM. Thirty percent of genes with DS-DM in adult brain cells also show DS-DM in fetal brains, indicating early onset of these epigenetic changes, and we find early maturation of methylation patterns in DS brain and lymphocytes. Some, but not all, of the DS-DM genes show differential expression. DS-DM preferentially affected CpGs in or near specific transcription factor binding sites (TFBSs), implicating a mechanism involving altered TFBS occupancy. Methyl-seq of brain DNA from mouse models with sub-chromosomal duplications mimicking DS reveals partial but significant overlaps with human DS-DM and shows that multiple chromosome 21 genes contribute to the downstream epigenetic effects. These data point to novel biological mechanisms in DS and have general implications for trans effects of chromosomal duplications and aneuploidies on epigenetic patterning.

X Demographics

X Demographics

The data shown below were collected from the profiles of 21 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 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 3%
United States 1 2%
Greece 1 2%
Brazil 1 2%
Unknown 61 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 18%
Student > Bachelor 10 15%
Student > Ph. D. Student 7 11%
Other 7 11%
Student > Master 6 9%
Other 15 23%
Unknown 9 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 23%
Biochemistry, Genetics and Molecular Biology 14 21%
Medicine and Dentistry 10 15%
Neuroscience 5 8%
Unspecified 2 3%
Other 6 9%
Unknown 14 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 10 February 2016.
All research outputs
#2,428,104
of 25,371,288 outputs
Outputs from Genome Biology
#1,966
of 4,467 outputs
Outputs of similar age
#38,658
of 393,179 outputs
Outputs of similar age from Genome Biology
#43
of 72 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% 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 has gotten more attention than average, scoring higher than 55% of its peers.
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 393,179 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 72 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.