RNA-Seq in Human Health and Disease

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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• aging
• bioinformatics
• single-cell RNA-Seq
• RNA-Seq