转录组
生物
RNA序列
基因
计算生物学
疾病
2型糖尿病
遗传学
DNA测序
生物信息学
基因表达
糖尿病
医学
内科学
内分泌学
作者
Ziravard N. Tonyan,Yulia A. Nasykhova,Maria M. Danilova,Yury A. Barbitoff,Anton I. Changalidi,А. А. Михайлова,Andrey S. Glotov
出处
期刊:Genes
[MDPI AG]
日期:2022-06-30
卷期号:13 (7): 1176-1176
被引量:10
标识
DOI:10.3390/genes13071176
摘要
Type 2 diabetes (T2D) is a common chronic disease whose etiology is known to have a strong genetic component. Standard genetic approaches, although allowing for the detection of a number of gene variants associated with the disease as well as differentially expressed genes, cannot fully explain the hereditary factor in T2D. The explosive growth in the genomic sequencing technologies over the last decades provided an exceptional impetus for transcriptomic studies and new approaches to gene expression measurement, such as RNA-sequencing (RNA-seq) and single-cell technologies. The transcriptomic analysis has the potential to find new biomarkers to identify risk groups for developing T2D and its microvascular and macrovascular complications, which will significantly affect the strategies for early diagnosis, treatment, and preventing the development of complications. In this article, we focused on transcriptomic studies conducted using expression arrays, RNA-seq, and single-cell sequencing to highlight recent findings related to T2D and challenges associated with transcriptome experiments.
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