Transcriptomics in Human Health and Disease

A special issue of Biomedicines (ISSN 2227-9059). This special issue belongs to the section "Molecular Genetics and Genetic Diseases".

Deadline for manuscript submissions: 30 September 2024 | Viewed by 1719

Special Issue Editors


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Guest Editor
Laboratory of Biology, Laboratory of Pharmacology, Department of Medicine, Democritus University of Thrace, 68100 Alexandroupolis, Greece
Interests: bioinformatics; microbiome; transcriptomics; machine learning; inflammatory bowel disease

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Guest Editor
Gastroenterology and Hepatology Research Laboratory, Medical School, University of Crete, Heraklion, Greece
Interests: complicated Crohn's disease; intestinal fibrosis; innate lymphoid cell; colitis models; myofibroblast

Special Issue Information

Dear Colleagues,

Transcriptomics, the study of messenger or non-coding RNA transcribed in a single cell or cells of the same tissue or cells of different tissues in the same organ, provides important insights into the gene expression patterns underlying health and disease. From PCR-based methods detecting a limited repertoire of RNA transcripts to the development of high-throughput sequencing technologies enabling the analysis of gene expression at a genome-wide scale, recently, significant technical progress has been made in the field. Results have led to major advancements in our understanding of various diseases and have facilitated the identification of specific dysregulated genes and pathways, as well as potential biomarkers and therapeutic targets. In addition, transcriptomics have also contributed to the development of precision medicine, as it allows for the identification of gene expression signatures that are of predictive value for the response to a specific treatment. However, there are cumbersome technical challenges, such as the need to accurately quantify gene expression and to account for biological variability. As such, ongoing research efforts on refining and optimizing transcriptomic methods will aid our better understanding of the complexity of gene regulation in health and disease.

This Special Issue welcomes original research and reviews focusing on transcriptomic insights in human conditions, host–microbiome interactions and precision approaches that utilize and highlight state-of-the-art methodologies.

Dr. Nikolas Dovrolis
Dr. Ioannis A. Drygiannakis
Guest Editors

Manuscript Submission Information

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Keywords

  • transcriptomics
  • RNA
  • messenger RNA
  • mRNA
  • non-coding RNA
  • gene regulation
  • biological pathways
  • precision medicine
  • RNA sequencing
  • sequencing
  • high-throughput sequencing

Published Papers (1 paper)

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Research

14 pages, 2133 KiB  
Article
Beyond the Rhythm: In Silico Identification of Key Genes and Therapeutic Targets in Atrial Fibrillation
by Natalia Atzemian, Nikolas Dovrolis, Georgia Ragia, Konstantina Portokallidou, George Kolios and Vangelis G. Manolopoulos
Biomedicines 2023, 11(10), 2632; https://0-doi-org.brum.beds.ac.uk/10.3390/biomedicines11102632 - 25 Sep 2023
Viewed by 1126
Abstract
Atrial fibrillation (AF) is a prevalent cardiac arrhythmia worldwide and is characterized by a high risk of thromboembolism, ischemic stroke, and fatality. The precise molecular mechanisms of AF pathogenesis remain unclear. The purpose of this study was to use bioinformatics tools to identify [...] Read more.
Atrial fibrillation (AF) is a prevalent cardiac arrhythmia worldwide and is characterized by a high risk of thromboembolism, ischemic stroke, and fatality. The precise molecular mechanisms of AF pathogenesis remain unclear. The purpose of this study was to use bioinformatics tools to identify novel key genes in AF, provide deeper insights into the molecular pathogenesis of AF, and uncover potential therapeutic targets. Four publicly available raw RNA-Seq datasets obtained through the ENA Browser, as well as proteomic analysis results, both derived from atrial tissues, were used in this analysis. Differential gene expression analysis was performed and cross-validated with proteomics results to identify common genes/proteins between them. A functional enrichment pathway analysis was performed. Cross-validation analysis revealed five differentially expressed genes, namely FGL2, IGFBP5, NNMT, PLA2G2A, and TNC, in patients with AF compared with those with sinus rhythm (SR). These genes play crucial roles in various cardiovascular functions and may be part of the molecular signature of AF. Furthermore, functional enrichment analysis revealed several pathways related to the extracellular matrix, inflammation, and structural remodeling. This study highlighted five key genes that constitute promising candidates for further experimental exploration as biomarkers as well as therapeutic targets for AF. Full article
(This article belongs to the Special Issue Transcriptomics in Human Health and Disease)
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