Genetic Variation and Splicing from Single Cell RNA-Sequencing
A special issue of Genes (ISSN 2073-4425). This special issue belongs to the section "Technologies and Resources for Genetics".
Deadline for manuscript submissions: closed (30 April 2020) | Viewed by 34703
Special Issue Editor
Interests: genomics; transcriptomics; cancer genomics; computational biology; bioinformatics; RNA seq; bioinformatic tools
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear colleagues,
Single cell RNA-sequencing (scRNA-seq) provides a unique opportunity to study inter-molecular relationships. In recent years, hundreds of studies have employed scRNA-seq to depict the within-cell dynamics of gene expression. The single cell transcriptome constitutes a unique composite of molecular integrity, which, in addition to gene expression, amalgamates a variety of features, including expressed genetic variation, splicing, and post-transcriptional modifications. These features are functionally and structurally linked with each other and with gene expression, and the underlying links constitute essential building blocks of the cellular interactome. ScRNA-seq provides a unique opportunity to study inter-molecular relationships. In contrast to bulk RNA-sequencing, single cell level assessment preserves the mutual correlations between the different transcriptome features, thus enabling the retrieval of regulatory and structural molecular relationships. For example, the co-expression of a genetic variant and a transcript might indicate a positive regulatory role of the variation on the transcript expression; such co-expression can be easily missed in the bulk RNA-seq analysis due to averaging of the measurements across multiple cells. Furthermore, scRNA-seq provides the opportunity to study allele-specific expression at an unprecedented resolution, and, accordingly, to reveal functional insights into the preferentially expressed alleles.
We invite submissions of both methodological and original research papers assessing genetic variation, splicing and post-transcriptional modifications from scRNA-seq, and, where possible, their integration with gene and transcript expression. Topics may include, but are not limited to, studies of expressed genetic variation, including single nucleotide variants (SNVs), splicing and posttranscriptional modifications such as RNA-editing. The overarching aim of this issue is to stimulate the emerging and promising research on single cell transcriptomics, pursuing at the same time new exploratory and collaborative venues to address its challenges.
Prof. Dr. Anelia D. HorvathGuest Editor
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Keywords
- Single cell RNA-sequencing
- Genetic variation
- Splicing
- Post-transcriptional modifications
- RNA-editing
- Gene expression
- Single cell transcriptome
- Allele-specific expression
- Single nucleotide variants (SNVs).
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