Single‐cell RNA sequencing technologies and applications: A brief overview
Chang, Elizabeth,F. Krüpe +1 more
- Vol. 12, Iss: 3
TLDR
In this article , the authors provide a concise overview about the scRNA-seq technology, experimental and computational procedures for transforming the biological and molecular processes into computational and statistical data, and highlight a few examples on how scRNAseq can provide unique information for better understanding health and diseases.Abstract:
Single-cell RNA sequencing (scRNA-seq) technology has become the state-of-the-art approach for unravelling the heterogeneity and complexity of RNA transcripts within individual cells, as well as revealing the composition of different cell types and functions within highly organized tissues/organs/organisms. Since its first discovery in 2009, studies based on scRNA-seq provide massive information across different fields making exciting new discoveries in better understanding the composition and interaction of cells within humans, model animals and plants. In this review, we provide a concise overview about the scRNA-seq technology, experimental and computational procedures for transforming the biological and molecular processes into computational and statistical data. We also provide an explanation of the key technological steps in implementing the technology. We highlight a few examples on how scRNA-seq can provide unique information for better understanding health and diseases. One important application of the scRNA-seq technology is to build a better and high-resolution catalogue of cells in all living organism, commonly known as atlas, which is key resource to better understand and provide a solution in treating diseases. While great promises have been demonstrated with the technology in all areas, we further highlight a few remaining challenges to be overcome and its great potentials in transforming current protocols in disease diagnosis and treatment. read more
Citations
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Ushering in a new era of single-cell transcriptomics in bacteria
TL;DR: A short review of bacterial scRNA-seq approaches can be found in this article , where a spatial transcriptomics approach based on multiplexed in situ hybridization (parseqFISH) is proposed.
Journal ArticleDOI
The Multi-Dimensional Biomarker Landscape in Cancer Immunotherapy
Jing Yi Lee,Bavani Kannan,B. Y. Lim,Zhimei Li,Abner Herbert Lim,Jui Wan Loh,Tun Kiat Ko,Cedric Chuan Young Ng,Jason Yongsheng Chan +8 more
TL;DR: How some of the most widely used conventional technologies and biomarkers may be useful for the purpose of predicting immunotherapy outcomes in patients are summarized, and their shortcomings are discussed.
Journal ArticleDOI
Integrative insights and clinical applications of single-cell sequencing in cancer immunotherapy
Journal ArticleDOI
The Analysis of the Human Megakaryocyte and Platelet Coding Transcriptome in Healthy and Diseased Subjects
TL;DR: Bulk and single-cell RNA-seq studies that have aimed to characterize the coding transcriptome of healthy megakaryocytes and platelets in humans, and how these methods can be applied in the field of inherited platelet disorders for gene discovery and for unraveling novel disease mechanisms using RNA from platelets and megakARYocytes and rare disease bioinformatics are illustrated.
Journal ArticleDOI
Research progress of single-cell transcriptome sequencing in autoimmune diseases and autoinflammatory disease: A review.
TL;DR: Wang et al. as mentioned in this paper described the principles of single-cell transcriptome sequencing (scRNA-seq) and introduced common sequencing platforms and practical procedures, and focused on the progress of scRNAseq in 41 autoimmune diseases, which include 9 systemic autoimmune diseases and autoinflammatory diseases (rheumatoid arthritis, systemic lupus erythematosus, etc.) and 32 organ-specific autoimmune diseases (5 Skin diseases, 3 Nervous system diseases, 4 Eye diseases, 2 Respiratory system disease, 2 Circulatory system diseases).
References
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