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Genomic analysis of the molecular neuropathology of tuberous sclerosis using a human stem cell model

Overview of attention for article published in Genome Medicine, September 2016
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Title
Genomic analysis of the molecular neuropathology of tuberous sclerosis using a human stem cell model
Published in
Genome Medicine, September 2016
DOI 10.1186/s13073-016-0347-3
Pubmed ID
Authors

Nils Grabole, Jitao David Zhang, Stefan Aigner, Nadine Ruderisch, Veronica Costa, Felix C. Weber, Michel Theron, Nikolaos Berntenis, Olivia Spleiss, Martin Ebeling, Gene W. Yeo, Ravi Jagasia, Anna Kiialainen

Abstract

Tuberous sclerosis complex (TSC) is a genetic disease characterized by benign tumor growths in multiple organs and neurological symptoms induced by mTOR hyperfunction. Because the molecular pathology is highly complex and the etiology poorly understood, we employed a defined human neuronal model with a single mTOR activating mutation to dissect the disease-relevant molecular responses driving the neuropathology and suggest new targets for treatment. We investigate the disease phenotype of TSC by neural differentiation of a human stem cell model that had been deleted for TSC2 by genome editing. Comprehensive genomic analysis was performed by RNA sequencing and ribosome profiling to obtain a detailed genome-wide description of alterations on both the transcriptional and translational level. The molecular effect of mTOR inhibitors used in the clinic was monitored and comparison to published data from patient biopsies and mouse models highlights key pathogenic processes. TSC2-deficient neural stem cells showed severely reduced neuronal maturation and characteristics of astrogliosis instead. Transcriptome analysis indicated an active inflammatory response and increased metabolic activity, whereas at the level of translation ribosomal transcripts showed a 5'UTR motif-mediated increase in ribosome occupancy. Further, we observed enhanced protein synthesis rates of angiogenic growth factors. Treatment with mTOR inhibitors corrected translational alterations but transcriptional dysfunction persisted. Our results extend the understanding of the molecular pathophysiology of TSC brain lesions, and suggest phenotype-tailored pharmacological treatment strategies.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Poland 1 1%
Unknown 66 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 28%
Researcher 10 14%
Student > Bachelor 8 12%
Student > Doctoral Student 6 9%
Student > Master 6 9%
Other 11 16%
Unknown 9 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 20 29%
Agricultural and Biological Sciences 15 22%
Neuroscience 14 20%
Computer Science 2 3%
Medicine and Dentistry 2 3%
Other 5 7%
Unknown 11 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 23 September 2016.
All research outputs
#19,944,091
of 25,373,627 outputs
Outputs from Genome Medicine
#1,494
of 1,585 outputs
Outputs of similar age
#240,924
of 328,359 outputs
Outputs of similar age from Genome Medicine
#34
of 36 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
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We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.