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Omics Analysis for Personalized Medicine

A special issue of Current Issues in Molecular Biology (ISSN 1467-3045). This special issue belongs to the section "Molecular Medicine".

Deadline for manuscript submissions: 30 June 2025 | Viewed by 974

Special Issue Editors


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Guest Editor
1. Department of Pediatrics, Texas Tech University Health Sciences Center, Lubbock, TX, USA
2. KinderGenome Genetics Private Practice, 5347 W Mockingbird, Dallas, TX 75209, USA
Interests: genomics; syndromology; connective tissue dysplasias; Ehlers–Danlos syndrome
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Institute of Cell Biology, Faculty of Medicine, University of Ljubljana, 1000 Ljubljana, Slovenia
Interests: Establishment and use of in vitro models of interstitial cystitis and other inflammatory diseases; Establishment and use of 3D multi-cellular in vitro models; Studying biomarkers in interstitial cystitis; Studying the anti-inflammatory effect of cannabinoids; Establishment and use of single cell high throughput technologies

Special Issue Information

Dear Colleagues,

Recent advancements in high-throughput sequencing technologies have revolutionized our ability to analyze complex biological samples comprehensively across multiple layers, including genomics, epigenomics, transcriptomics, and proteomics. The integration of these datasets, referred to as multi-omics analysis, enables an unprecedented depth of patient phenotyping based on molecular classification. This approach provides a detailed view of disease mechanisms, enhancing our understanding of complex disorders and paving the way for personalized medicine. This Special Issue focuses on the application of multi-omics approaches in advancing personalized treatment strategies, highlighting the transformative potential of integrating multi-layered data to improve patient care and therapeutic outcomes. Specific attention will be given to immune-mediated diseases, which encompass a diverse spectrum of conditions, ranging from autoimmune to autoinflammatory disorders.

Dr. Golder N. Wilson
Dr. Tadeja Kuret
Guest Editors

Manuscript Submission Information

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Keywords

  • genomics
  • epigenomics
  • transcriptomics
  • proteomics
  • metabolomics
  • multi-omics
  • high throughput
  • personalized medicine
  • immune-mediated inflammatory diseases

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Published Papers (1 paper)

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Review

34 pages, 2285 KiB  
Review
How “Omics” Studies Contribute to a Better Understanding of Fuchs’ Endothelial Corneal Dystrophy
by Erika Prašnikar and Spela Stunf Pukl
Curr. Issues Mol. Biol. 2025, 47(3), 135; https://doi.org/10.3390/cimb47030135 - 20 Feb 2025
Viewed by 746
Abstract
Fuchs’ endothelial corneal dystrophy (FECD) is a progressive eye disease characterized by accelerated loss of endothelial cells and the development of focal excrescence (guttae) on Descemet’s membrane, resulting in cornea opacity and vision deterioration. The development of FECD is assumed to be due [...] Read more.
Fuchs’ endothelial corneal dystrophy (FECD) is a progressive eye disease characterized by accelerated loss of endothelial cells and the development of focal excrescence (guttae) on Descemet’s membrane, resulting in cornea opacity and vision deterioration. The development of FECD is assumed to be due to the interplay between genetic and environmental factor risks, causing abnormal extracellular-matrix organization, increased oxidative stress, apoptosis and unfolded protein response. However, the molecular knowledge of FECD is limited. The development of genome-wide platforms and bioinformatics approaches has enabled us to identify numerous genetic loci that are associated with FECD. In this review, we gathered genome-wide studies (n = 31) and sorted them according to genomics (n = 9), epigenomics (n = 3), transcriptomics (n = 15), proteomics (n = 3) and metabolomics (n = 1) levels to characterize progress in understanding FECD. We also extracted validated differentially expressed/spliced genes and proteins identified through comparisons of FECD case and control groups. In addition, highlighted loci from each omics layer were combined according to a comparison with similar study groups from original studies for downstream gene-set enrichment analysis, which provided the most significant biological pathways related to extracellular-matrix organization. In the future, multiomics study approaches are needed to increase the sample size and statistical power to identify strong candidate genes for functional studies on animal models and cell lines for better understanding FECD. Full article
(This article belongs to the Special Issue Omics Analysis for Personalized Medicine)
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