Special Issue "Genetic Variation and Splicing from Single Cell RNA-Sequencing"
Deadline for manuscript submissions: closed (30 April 2020).
Interests: genomics; transcriptomics; cancer genomics; computational biology; bioinformatics; RNA seq; bioinformatic tools
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Special Issue in Genes: Feature Papers in Technologies and Resources for Genetics
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.Dr. Anelia Horvath
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Genes is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Single cell RNA-sequencing
- Genetic variation
- Post-transcriptional modifications
- Gene expression
- Single cell transcriptome
- Allele-specific expression
- Single nucleotide variants (SNVs).