Data on RNA-seq analysis of Drosophila melanogaster during ageing

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dc.contributorUniversiti Sains Malaysia
dc.contributorUniversiti Sains Malaysia
dc.contributorUniversiti Sains Malaysia
dc.contributorUniversiti Sains Malaysia
dc.contributorUniversiti Malaysia Sabah
dc.contributor.authorMorteza Bajgiran
dc.contributor.authorAzali Azlan
dc.contributor.authorShaharum Shamsuddin
dc.contributor.authorGhows Azzam
dc.contributor.authorMardani Abdul Halim
dc.date.accessioned2023-05-11T07:16:07Z
dc.date.available2023-05-11T07:16:07Z
dc.date.issued2021-09-22
dc.descriptionTotal RNA was isolated using Trizol reagent and RNeasy MinElute Cleanup Kit. RNA quality was evaluated by electrophoresis, Nanodrop2000 and Agilent2100 Bioanalyzer. rRNA was removed and then samples prepared and sequenced. Link to data: https://www.ncbi.nlm.nih.gov/bioproject/PRJNA718442
dc.description.abstractAgeing 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 D. melanogaster. 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.
dc.identifier.doi10.1016/j.dib.2021.107413
dc.identifier.urihttps://www.ncbi.nlm.nih.gov/bioproject/PRJNA718442
dc.identifier.urihttps://opendata.usm.my/handle/123456789/74652
dc.publisherElsevier
dc.rightsCC0 1.0 Universal*
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/*
dc.titleData on RNA-seq analysis of Drosophila melanogaster during ageing
dc.typeDataset
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Biological, Chemical, and Mathematical Sciences