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Cell Press

Paternal Diet Defines Offspring Chromatin State and Intergenerational Obesity

Overview of attention for article published in Cell, December 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
11 news outlets
blogs
2 blogs
twitter
158 X users
weibo
18 weibo users
facebook
42 Facebook pages
googleplus
4 Google+ users

Citations

dimensions_citation
347 Dimensions

Readers on

mendeley
639 Mendeley
citeulike
2 CiteULike
Title
Paternal Diet Defines Offspring Chromatin State and Intergenerational Obesity
Published in
Cell, December 2014
DOI 10.1016/j.cell.2014.11.005
Pubmed ID
Authors

Anita Öst, Adelheid Lempradl, Eduard Casas, Melanie Weigert, Theodor Tiko, Merdin Deniz, Lorena Pantano, Ulrike Boenisch, Pavel M. Itskov, Marlon Stoeckius, Marius Ruf, Nikolaus Rajewsky, Gunter Reuter, Nicola Iovino, Carlos Ribeiro, Mattias Alenius, Steffen Heyne, Tanya Vavouri, J. Andrew Pospisilik

Abstract

The global rise in obesity has revitalized a search for genetic and epigenetic factors underlying the disease. We present a Drosophila model of paternal-diet-induced intergenerational metabolic reprogramming (IGMR) and identify genes required for its encoding in offspring. Intriguingly, we find that as little as 2 days of dietary intervention in fathers elicits obesity in offspring. Paternal sugar acts as a physiological suppressor of variegation, desilencing chromatin-state-defined domains in both mature sperm and in offspring embryos. We identify requirements for H3K9/K27me3-dependent reprogramming of metabolic genes in two distinct germline and zygotic windows. Critically, we find evidence that a similar system may regulate obesity susceptibility and phenotype variation in mice and humans. The findings provide insight into the mechanisms underlying intergenerational metabolic reprogramming and carry profound implications for our understanding of phenotypic variation and evolution.

X Demographics

X Demographics

The data shown below were collected from the profiles of 158 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 639 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 13 2%
United Kingdom 4 <1%
Netherlands 2 <1%
Brazil 2 <1%
Sweden 2 <1%
Japan 2 <1%
China 2 <1%
France 1 <1%
Germany 1 <1%
Other 7 1%
Unknown 603 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 146 23%
Student > Ph. D. Student 139 22%
Student > Bachelor 79 12%
Student > Master 58 9%
Professor > Associate Professor 36 6%
Other 110 17%
Unknown 71 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 269 42%
Biochemistry, Genetics and Molecular Biology 165 26%
Medicine and Dentistry 46 7%
Neuroscience 23 4%
Nursing and Health Professions 8 1%
Other 48 8%
Unknown 80 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 218. 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 27 March 2023.
All research outputs
#180,205
of 25,837,817 outputs
Outputs from Cell
#1,011
of 17,278 outputs
Outputs of similar age
#1,855
of 372,766 outputs
Outputs of similar age from Cell
#17
of 146 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,278 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 59.7. This one has done particularly well, scoring higher than 94% 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 372,766 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 99% of its contemporaries.
We're also able to compare this research output to 146 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.