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edgeR: a Bioconductor package for differential expression analysis of digital gene expression data.edgeR:一个用于数字基因表达数据差异表达分析的 Bioconductor 包。
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Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources.利用DAVID生物信息学资源对大型基因列表进行系统和综合分析。
Nat Protoc. 2009;4(1):44-57. doi: 10.1038/nprot.2008.211.
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Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists.生物信息学富集工具:通向大型基因列表全面功能分析的途径
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黑腹果蝇衰老过程中的RNA测序分析数据。

Data on RNA-seq analysis of Drosophila melanogaster during ageing.

作者信息

Bajgiran Morteza, Azlan Azali, Shamsuddin Shaharum, Azzam Ghows, Halim Mardani Abdul

机构信息

School of Biological Sciences, Universiti Sains Malaysia, Gelugor, Penang 11800, Malaysia.

USM-RIKEN Interdisciplinary Collaboration for Advanced Sciences, Universiti Sains Malaysia, Gelugor, Penang 11800, Malaysia.

出版信息

Data Brief. 2021 Sep 22;38:107413. doi: 10.1016/j.dib.2021.107413. eCollection 2021 Oct.

DOI:10.1016/j.dib.2021.107413
PMID:34632013
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8488473/
Abstract

Ageing is defined as gradual decline of physiological, cellular and molecular state of an organism with time. The age-associated cell dysfunctions usually cause chronic diseases such as diabetes, cancers and other age-related diseases. Many of the genes and pathways involved in ageing are conserved in different species. These genes and pathways have been categorised into nine cellular and molecular hallmarks, namely, genomic instability, telomere attrition, loss of proteostasis, mitochondrial dysfunction, epigenetic alterations, deregulated nutrient sensing, stem cell exhaustion, cellular senescence and altered intercellular communication. Despite countless studies on ageing, the molecular mechanism of ageing is poorly understood. Here, we performed genome wide transcriptome mapping of ageing process in In which, transcriptomic analysis conducted on the 1 day and 60 days flies. Illumina Hiseq platform were used to generate raw data. Afterwards, further analysis including differential expression analysis, GO classification and KEGG pathway enrichment analysis were performed. The raw data were uploaded to SRA database and the BioProject ID is PRJNA718442. These data provide the basis for future research in order to discover the genes and pathways involved in ageing.

摘要

衰老被定义为生物体的生理、细胞和分子状态随时间逐渐衰退。与年龄相关的细胞功能障碍通常会引发慢性疾病,如糖尿病、癌症和其他与年龄相关的疾病。许多参与衰老过程的基因和信号通路在不同物种中是保守的。这些基因和信号通路已被归类为九个细胞和分子特征,即基因组不稳定、端粒磨损、蛋白质稳态丧失、线粒体功能障碍、表观遗传改变、营养感应失调、干细胞耗竭、细胞衰老和细胞间通讯改变。尽管对衰老进行了无数研究,但衰老的分子机制仍知之甚少。在此,我们对衰老过程进行了全基因组转录组图谱绘制,其中,对1日龄和60日龄的果蝇进行了转录组分析。使用Illumina Hiseq平台生成原始数据。随后,进行了包括差异表达分析、GO分类和KEGG通路富集分析在内的进一步分析。原始数据已上传至SRA数据库,生物项目编号为PRJNA718442。这些数据为未来发现参与衰老的基因和信号通路的研究提供了基础。