Comparative transcriptome and mutation analyses of the pancreatic islets of a rat model of obese type 2 diabetes identifies a frequently distributed nonsense mutation in the lipocalin 2 gene.

IF 3.9 2区 生物学 Q1 GENETICS & HEREDITY
Norihide Yokoi, Naoki Adachi, Tomoki Hirokoji, Kenta Nakano, Minako Yoshihara, Saki Shigenaka, Ryuya Urakawa, Yukio Taniguchi, Yusaku Yoshida, Shigeo Yokose, Mikita Suyama, Tadashi Okamura
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引用次数: 0

Abstract

Type 2 diabetes is a multifactorial disease caused by insulin resistance and impaired insulin secretion from pancreatic β-cells, but the precise mechanisms remain to be elucidated. To identify primary genetic factors of type 2 diabetes in a rat model, we performed comparative transcriptome and mutation analyses of the pancreatic islets between the obese Zucker fatty rat and the Zucker fatty rat-derived type 2 diabetes model ZFDM rat. Among differentially expressed genes irrespective of obesity and glucose intolerance states, we identified a nonsense mutation, c.409C>T (p.Gln137X), in the lipocalin 2 (Lcn2) gene which encodes a secreted protein called neutrophil gelatinase-associated lipocalin, a well-known biomarker for inflammation. We examined the relevance of the Lcn2 mutation with T2D in the ZFDM rat by using genome editing and genetic linkage analysis and confirmed that the Lcn2 mutation exhibits no significant association with the onset of T2D. Interestingly, we found that the Lcn2 mutation is distributed widely in rat species, such as commonly used DA and F344 strains. Our data indicate that several rat strains would serve as Lcn2 deficient models, contributing to elucidate pathophysiological roles of Lcn2 in a wide variety of phenotypes.

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来源期刊
DNA Research
DNA Research 生物-遗传学
CiteScore
6.00
自引率
4.90%
发文量
39
审稿时长
4.5 months
期刊介绍: DNA Research is an internationally peer-reviewed journal which aims at publishing papers of highest quality in broad aspects of DNA and genome-related research. Emphasis will be made on the following subjects: 1) Sequencing and characterization of genomes/important genomic regions, 2) Comprehensive analysis of the functions of genes, gene families and genomes, 3) Techniques and equipments useful for structural and functional analysis of genes, gene families and genomes, 4) Computer algorithms and/or their applications relevant to structural and functional analysis of genes and genomes. The journal also welcomes novel findings in other scientific disciplines related to genomes.
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