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Early differences in islets from prediabetic NOD mice: combined microarray and proteomic analysis

Overview of attention for article published in Diabetologia, January 2017
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  • Good Attention Score compared to outputs of the same age (74th percentile)

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Title
Early differences in islets from prediabetic NOD mice: combined microarray and proteomic analysis
Published in
Diabetologia, January 2017
DOI 10.1007/s00125-016-4191-1
Pubmed ID
Authors

Inne Crèvecoeur, Valborg Gudmundsdottir, Saurabh Vig, Fernanda Marques Câmara Sodré, Wannes D’Hertog, Ana Carolina Fierro, Leentje Van Lommel, Conny Gysemans, Kathleen Marchal, Etienne Waelkens, Frans Schuit, Søren Brunak, Lut Overbergh, Chantal Mathieu

Abstract

Type 1 diabetes is an endocrine disease where a long preclinical phase, characterised by immune cell infiltration in the islets of Langerhans, precedes elevated blood glucose levels and disease onset. Although several studies have investigated the role of the immune system in this process of insulitis, the importance of the beta cells themselves in the initiation of type 1 diabetes is less well understood. The aim of this study was to investigate intrinsic differences present in the islets from diabetes-prone NOD mice before the onset of insulitis. The islet transcriptome and proteome of 2-3-week-old mice was investigated by microarray and 2-dimensional difference gel electrophoresis (2D-DIGE), respectively. Subsequent analyses using sophisticated pathway analysis and ranking of differentially expressed genes and proteins based on their relevance in type 1 diabetes were performed. In the preinsulitic period, alterations in general pathways related to metabolism and cell communication were already present. Additionally, our analyses pointed to an important role for post-translational modifications (PTMs), especially citrullination by PAD2 and protein misfolding due to low expression levels of protein disulphide isomerases (PDIA3, 4 and 6), as causative mechanisms that induce beta cell stress and potential auto-antigen generation. We conclude that the pancreatic islets, irrespective of immune differences, may contribute to the initiation of the autoimmune process. All microarray data are available in the ArrayExpress database ( www.ebi.ac.uk/arrayexpress ) under accession number E-MTAB-5264.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 24%
Student > Bachelor 7 18%
Researcher 5 13%
Student > Master 4 11%
Other 2 5%
Other 7 18%
Unknown 4 11%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 26%
Medicine and Dentistry 8 21%
Agricultural and Biological Sciences 6 16%
Immunology and Microbiology 3 8%
Computer Science 2 5%
Other 4 11%
Unknown 5 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 March 2017.
All research outputs
#6,385,393
of 25,253,876 outputs
Outputs from Diabetologia
#2,627
of 5,332 outputs
Outputs of similar age
#109,526
of 434,223 outputs
Outputs of similar age from Diabetologia
#49
of 62 outputs
Altmetric has tracked 25,253,876 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 5,332 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.6. This one has gotten more attention than average, scoring higher than 50% 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 434,223 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.