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High-throughput transcriptomics
by
D’Agostino, Nunzio
, Wang, Dapeng
, Li, Wenli
in
631/114
/ 631/337
/ Editorial
/ Heterogeneity
/ Humanities and Social Sciences
/ multidisciplinary
/ Ribonucleic acid
/ RNA
/ Science
/ Science (multidisciplinary)
/ Transcriptome
/ Transcriptomes
/ Transcriptomics
2022
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High-throughput transcriptomics
by
D’Agostino, Nunzio
, Wang, Dapeng
, Li, Wenli
in
631/114
/ 631/337
/ Editorial
/ Heterogeneity
/ Humanities and Social Sciences
/ multidisciplinary
/ Ribonucleic acid
/ RNA
/ Science
/ Science (multidisciplinary)
/ Transcriptome
/ Transcriptomes
/ Transcriptomics
2022
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Do you wish to request the book?
High-throughput transcriptomics
by
D’Agostino, Nunzio
, Wang, Dapeng
, Li, Wenli
in
631/114
/ 631/337
/ Editorial
/ Heterogeneity
/ Humanities and Social Sciences
/ multidisciplinary
/ Ribonucleic acid
/ RNA
/ Science
/ Science (multidisciplinary)
/ Transcriptome
/ Transcriptomes
/ Transcriptomics
2022
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Journal Article
High-throughput transcriptomics
2022
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Overview
High-throughput transcriptomics has revolutionised the field of transcriptome research by offering a cost-effective and powerful screening tool. Standard bulk RNA sequencing (RNA-Seq) enables characterisation of the average expression profiles for individual samples and facilitates identification of the molecular functions associated with genes differentially expressed across conditions. RNA-Seq can also be applied to disentangle splicing variants and discover novel transcripts, thus contributing to a comprehensive understanding of the transcriptome landscape. A closely related technique, single-cell RNA-Seq, has enabled the study of cell-type-specific gene expressions in hundreds to thousands of cells, aiding the exploration of cell heterogeneity. Nowadays, bulk RNA-Seq and single-cell RNA-Seq serve as complementary tools to advance and accelerate the development of transcriptome-based resources. This Collection illustrates how the current global research community makes use of these techniques to address a broad range of questions in life sciences. It demonstrates the usefulness and popularity of high-throughput transcriptomics and presents the best practices and potential issues for the benefit of future end-users.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
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