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Human pancreatic islet miRNA-mRNA networks of altered miRNAs due to glycemic status

Karagiannopoulos, Alexandros LU orcid ; Esguerra, Jonathan LS LU orcid ; Pedersen, Morten ; Wendt, Anna LU ; Prasad, Rashmi LU and Eliasson, Lena LU orcid (2022) In iScience 25(4).
Abstract
MicroRNAs (miRNAs) are short non-coding RNAs that regulate gene expression via mRNA targeting, playing important roles in the pancreatic islets. We aimed to identify molecular pathways and genomic regulatory regions associated with altered miRNA expression due to glycemic status, which could contribute to the development of type 2 diabetes (T2D). To this end, miRNAs were identified by a combination of differential miRNA expression and correlation analysis in human islet samples from donors with normal and elevated blood glucose levels. Analysis and clustering of highly correlated, experimentally validated gene targets of these miRNAs revealed two islet-specific clusters, which were associated with key aspects of islet functions and... (More)
MicroRNAs (miRNAs) are short non-coding RNAs that regulate gene expression via mRNA targeting, playing important roles in the pancreatic islets. We aimed to identify molecular pathways and genomic regulatory regions associated with altered miRNA expression due to glycemic status, which could contribute to the development of type 2 diabetes (T2D). To this end, miRNAs were identified by a combination of differential miRNA expression and correlation analysis in human islet samples from donors with normal and elevated blood glucose levels. Analysis and clustering of highly correlated, experimentally validated gene targets of these miRNAs revealed two islet-specific clusters, which were associated with key aspects of islet functions and included a high number of T2D-related genes. Finally, cis-eQTLs and public GWAS data integration uncovered suggestive genomic signals of association with insulin secretion and T2D. The miRNA-driven network-based approach presented in this study contributes to a better understanding of impaired insulin secretion in T2D pathogenesis. (Less)
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author
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organization
publishing date
type
Contribution to journal
publication status
published
subject
in
iScience
volume
25
issue
4
article number
103995
publisher
Elsevier
external identifiers
  • scopus:85126308067
  • pmid:35310942
ISSN
2589-0042
DOI
10.1016/j.isci.2022.103995
language
English
LU publication?
yes
id
b57f40f1-7039-4142-9b64-bb8916011c2f
date added to LUP
2022-03-15 11:47:23
date last changed
2024-05-02 07:33:21
@article{b57f40f1-7039-4142-9b64-bb8916011c2f,
  abstract     = {{MicroRNAs (miRNAs) are short non-coding RNAs that regulate gene expression via mRNA targeting, playing important roles in the pancreatic islets. We aimed to identify molecular pathways and genomic regulatory regions associated with altered miRNA expression due to glycemic status, which could contribute to the development of type 2 diabetes (T2D). To this end, miRNAs were identified by a combination of differential miRNA expression and correlation analysis in human islet samples from donors with normal and elevated blood glucose levels. Analysis and clustering of highly correlated, experimentally validated gene targets of these miRNAs revealed two islet-specific clusters, which were associated with key aspects of islet functions and included a high number of T2D-related genes. Finally, cis-eQTLs and public GWAS data integration uncovered suggestive genomic signals of association with insulin secretion and T2D. The miRNA-driven network-based approach presented in this study contributes to a better understanding of impaired insulin secretion in T2D pathogenesis.}},
  author       = {{Karagiannopoulos, Alexandros and Esguerra, Jonathan LS and Pedersen, Morten and Wendt, Anna and Prasad, Rashmi and Eliasson, Lena}},
  issn         = {{2589-0042}},
  language     = {{eng}},
  number       = {{4}},
  publisher    = {{Elsevier}},
  series       = {{iScience}},
  title        = {{Human pancreatic islet miRNA-mRNA networks of altered miRNAs due to glycemic status}},
  url          = {{http://dx.doi.org/10.1016/j.isci.2022.103995}},
  doi          = {{10.1016/j.isci.2022.103995}},
  volume       = {{25}},
  year         = {{2022}},
}