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Primary Respiratory Chain Disease Causes Tissue-Specific Dysregulation of the Global Transcriptome and Nutrient-Sensing Signaling Network

Overview of attention for article published in PLOS ONE, July 2013
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

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6 news outlets
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1 X user
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2 Facebook pages

Citations

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44 Dimensions

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80 Mendeley
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Title
Primary Respiratory Chain Disease Causes Tissue-Specific Dysregulation of the Global Transcriptome and Nutrient-Sensing Signaling Network
Published in
PLOS ONE, July 2013
DOI 10.1371/journal.pone.0069282
Pubmed ID
Authors

Zhe Zhang, Mai Tsukikawa, Min Peng, Erzsebet Polyak, Eiko Nakamaru-Ogiso, Julian Ostrovsky, Shana McCormack, Emily Place, Colleen Clarke, Gail Reiner, Elizabeth McCormick, Eric Rappaport, Richard Haas, Joseph A. Baur, Marni J. Falk

Abstract

Primary mitochondrial respiratory chain (RC) diseases are heterogeneous in etiology and manifestations but collectively impair cellular energy metabolism. Mechanism(s) by which RC dysfunction causes global cellular sequelae are poorly understood. To identify a common cellular response to RC disease, integrated gene, pathway, and systems biology analyses were performed in human primary RC disease skeletal muscle and fibroblast transcriptomes. Significant changes were evident in muscle across diverse RC complex and genetic etiologies that were consistent with prior reports in other primary RC disease models and involved dysregulation of genes involved in RNA processing, protein translation, transport, and degradation, and muscle structure. Global transcriptional and post-transcriptional dysregulation was also found to occur in a highly tissue-specific fashion. In particular, RC disease muscle had decreased transcription of cytosolic ribosomal proteins suggestive of reduced anabolic processes, increased transcription of mitochondrial ribosomal proteins, shorter 5'-UTRs that likely improve translational efficiency, and stabilization of 3'-UTRs containing AU-rich elements. RC disease fibroblasts showed a strikingly similar pattern of global transcriptome dysregulation in a reverse direction. In parallel with these transcriptional effects, RC disease dysregulated the integrated nutrient-sensing signaling network involving FOXO, PPAR, sirtuins, AMPK, and mTORC1, which collectively sense nutrient availability and regulate cellular growth. Altered activities of central nodes in the nutrient-sensing signaling network were validated by phosphokinase immunoblot analysis in RC inhibited cells. Remarkably, treating RC mutant fibroblasts with nicotinic acid to enhance sirtuin and PPAR activity also normalized mTORC1 and AMPK signaling, restored NADH/NAD(+) redox balance, and improved cellular respiratory capacity. These data specifically highlight a common pathogenesis extending across different molecular and biochemical etiologies of individual RC disorders that involves global transcriptome modifications. We further identify the integrated nutrient-sensing signaling network as a common cellular response that mediates, and may be amenable to targeted therapies for, tissue-specific sequelae of primary mitochondrial RC disease.

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X Demographics

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Mendeley readers

Mendeley readers

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Geographical breakdown

Country Count As %
United States 2 3%
United Kingdom 1 1%
Unknown 77 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 25%
Student > Ph. D. Student 15 19%
Other 7 9%
Student > Master 6 8%
Professor > Associate Professor 5 6%
Other 16 20%
Unknown 11 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 35%
Biochemistry, Genetics and Molecular Biology 21 26%
Medicine and Dentistry 5 6%
Nursing and Health Professions 3 4%
Neuroscience 3 4%
Other 6 8%
Unknown 14 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 44. 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 July 2013.
All research outputs
#796,082
of 22,715,151 outputs
Outputs from PLOS ONE
#11,043
of 193,929 outputs
Outputs of similar age
#7,157
of 197,951 outputs
Outputs of similar age from PLOS ONE
#323
of 4,796 outputs
Altmetric has tracked 22,715,151 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,929 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. 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 197,951 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 96% of its contemporaries.
We're also able to compare this research output to 4,796 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.