lncrna在糖尿病肾病中的作用:转录组学数据的荟萃分析

IF 4 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Raziyeh Rezaei , Basireh Bahrami , Yousof Gheisari
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引用次数: 0

摘要

众所周知,基因组的非编码区会影响复杂的疾病,但长链非编码rna (lncRNAs)在糖尿病肾病(DKD)中的作用仍未得到充分探索。本研究对1型(T1DM)和2型糖尿病(T2DM)小鼠肾脏样本的rna测序数据进行了荟萃分析,以确定与DKD相关的lncrna。收集与dkd相关的数据集,经过数据预处理和质量评估,包括6个T1DM和4个T2DM数据集。进行数据整合、批量校正和归一化,随后鉴定差异表达的lncrna (meta-DELs)和mrna (meta- dem)。建立DKD小鼠模型,利用qRT-PCR验证所选meta-DELs的表达。荟萃分析发现,T1DM患者有188例,T2DM患者有68例。值得注意的是,一小部分lncrna具有密集的mRNA相互作用,包括T1DM中的Dancer、Gm7628、C4a和Gm17300,以及T2DM中的Malat1、C4a、Gm17300和Eif4a2。表达分析证实了DKD模型中7个选定的meta-DELs的上调,其中Trp53cor1、Gm15462和Gm42664达到了统计学意义。这项高质量表达谱的系统分析发现了与DKD一致相关的meta- del,将实际的lncRNA变化与受实验条件或基因表达噪声影响的lncRNA变化区分开来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The landscape of LncRNAs in diabetic kidney disease: a meta-analysis of transcriptomics data

The landscape of LncRNAs in diabetic kidney disease: a meta-analysis of transcriptomics data
Non-coding regions of the genome are known to influence complex disorders, yet the role of long non-coding RNAs (lncRNAs) in Diabetic Kidney Disease (DKD) remains underexplored. This study conducts a meta-analysis of RNA-sequencing data from murine kidney samples of type 1 (T1DM) and type 2 diabetes mellitus (T2DM) to identify lncRNAs associated with DKD. DKD-associated datasets were harvested, and after data pre-processing and quality assessment, 6 T1DM and 4 T2DM datasets were included. Data integration, batch correction, and normalization were performed, followed by the identification of differentially expressed lncRNAs (meta-DELs) and mRNAs (meta-DEMs). A DKD mouse model was developed to validate the expression of selected meta-DELs using qRT-PCR. The meta-analysis identified 188 meta-DELs in T1DM and 68 in T2DM. Notably, a small set of lncRNAs have dense mRNA interactions, including Dancer, Gm7628, C4a, and Gm17300 in T1DM and Malat1, C4a, Gm17300, and Eif4a2 in T2DM. Expression analysis confirmed the up-regulation of seven selected meta-DELs in the DKD model, with Trp53cor1, Gm15462, and Gm42664 reaching statistical significance. This systematic analysis of high-quality expression profiles identified meta-DELs consistently associated with DKD, distinguishing actual lncRNA changes from those influenced by experimental conditions or gene expression noise.
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来源期刊
Current Research in Biotechnology
Current Research in Biotechnology Biochemistry, Genetics and Molecular Biology-Biotechnology
CiteScore
6.70
自引率
3.60%
发文量
50
审稿时长
38 days
期刊介绍: Current Research in Biotechnology (CRBIOT) is a new primary research, gold open access journal from Elsevier. CRBIOT publishes original papers, reviews, and short communications (including viewpoints and perspectives) resulting from research in biotechnology and biotech-associated disciplines. Current Research in Biotechnology is a peer-reviewed gold open access (OA) journal and upon acceptance all articles are permanently and freely available. It is a companion to the highly regarded review journal Current Opinion in Biotechnology (2018 CiteScore 8.450) and is part of the Current Opinion and Research (CO+RE) suite of journals. All CO+RE journals leverage the Current Opinion legacy-of editorial excellence, high-impact, and global reach-to ensure they are a widely read resource that is integral to scientists' workflow.
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