RNA-Seq in Human Health and Disease
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Informatics".
Deadline for manuscript submissions: closed (30 May 2024) | Viewed by 1073
Special Issue Editor
Interests: ageing; Alzheimer’s disease; bioinformatics; RNA-Seq; Parkinson’s disease
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In total, 6.3 billion people around the world have Alzheimer’s disease (AD), which is the second most prevalent neurodegenerative disease. RNA-Seq data facilitate a detailed analysis of human patient’s genomics data in high resolution, including an analysis of alternative splicing, molecular pathways, and specific cell-type marker genes. Single-cell RNA-Seq facilitates the accurate analysis of such data. The immune system, inflammation and cellular toxicity, and propagation in neurons were previously found to be altered in AD and aging post-mortem brain samples. Specific genes, including such encoding RNA-binding proteins (RBPs) (e.g., Apoe, Tau, Trem, Mapt, A-beta, and glial and neuronal cell-type marker genes), were also found to be involved. We still do not have a complete picture of disease-involved genes and pathways, or the clearance of Tau seeds and toxic oligomers effects. A comparison of AD cases to control brain samples may help to gain a better insight into disease-underlying molecular processes. RNA-Seq data analysis on Parkinson’s disease (PD) patients’ blood leukocytes previously showed changes in long non-coding RNAs, micro-RNAs, and alternative splicing. Exon array analysis on aging compared to young and middle-aged sample changes showed significant changes in microglial, oligodendrocyte, and neuronal cell marker genes. Mice model RNA-Seq produced genomics data which can serve as additional control data and human data.
Dr. Wael Mohamed ([email protected]) is a senior scientist (Reviewer Board member in IJMS), who will assist Dr. Lilach Soreq in managing this Special Issue.
Dr. Lilach Soreq
Guest Editor
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Keywords
- aging
- bioinformatics
- single-cell RNA-Seq
- RNA-Seq
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