New Insights into Gene Expression Regulation in the Next-Generation Sequencing (NGS) Era
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Genetics and Genomics".
Deadline for manuscript submissions: 20 December 2024 | Viewed by 1528
Special Issue Editor
Special Issue Information
Dear Colleagues,
Somatic cells exhibit different phenotypes, though they share the same DNA sequences. Gene expression regulation is achieved through transcriptional, post-transcriptional, translational, and post-translational mechanisms. Epigenetic factors modulate gene expression through DNA methylation, histone protein modifications, and RNA-molecule interaction processes. Next-generation sequencing (NGS) is a high-throughput technique that has boosted gene regulation studies. RNA sequencing (RNA-seq) allows transcriptome analysis and provides evidence about gene regulation, alternative splicing, and non-coding RNA molecules. Tissue heterogeneity and the microenvironment also add to the complexity. NGS-based approaches, such as single-cell or spatial RNA sequencing, can evaluate the mRNA expressions of all cells included in a specific microenvironment, providing evidence about cell–cell interactions. Methyl-seq or CHIP-seq NGS approaches will permit epigenome understanding through studies on DNA methylation patterns and histone modifications. The human microbiome is also a key player in gene expression regulation. Thus, the use of the NGS technique in metagenomic studies will highlight the role and mechanisms of microbiome interaction with human host cells.
I propose that the scope of this Special Issue of IJMS include a wide range of studies that use NGS-based approaches to investigate various aspects of gene expression regulation. Submission formats may include research articles, reviews, perspectives, and communications.
Dr. Maria Samara
Guest Editor
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Keywords
- alternative splicing
- DNA methylation
- histone modification
- RNA sequencing
- epigenome
- metagenomics
- single-cell sequencing
- spatial sequencing
- microenvironment
- microbiome profile
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