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Application of High-Throughput Omics Sequencing in Personalized Medicine

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: closed (28 February 2024) | Viewed by 2037

Special Issue Editor


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Guest Editor
Division of Biomedical Sciences, Faculty of Medicine, Memorial University of Newfoundland, St John's, NL A1B 3V6, Canada
Interests: genomics; epigenomics; omics interplays; microbiome; transcription factors; long-reads sequencing

Special Issue Information

Dear Colleagues,

Personalized medicine is fundamentally changing how health care is practiced. One important component of this field is the use of an individual’s omic information to offer targeted treatment, tailored to the patient. This Special Issue on “Application of High-Throughput Omics Sequencing in Personalized Medicine” welcomes original investigations, novel methodologies, and concise review manuscripts focusing on the use of omics datasets in personalized medicine, including but not limited to genomics, transcriptomics, epigenomics and microbiomics. In detail, this domain requires generation of and access to massive omics and clinical datasets, as well as adequate statistical and bioinformatics tools. Therefore, we are particularly interested in manuscripts describing integrative omics databases, “big data” analysis programs or protocols, and outputs from omics consortia. Furthermore, the generation of large datasets relies on suitable technologies such as bulk, single-cell and spatial sequencing. Thus, advances in sequencing platforms and library preparation protocols allowing the characterization of any omics landscape will be welcomed in this Special Issue. Novel or repurposed omics biomarkers for diagnosis, treatment strategies and prognosis can be considered; however, since IJMS is a molecular science journal, pure clinical or model studies will not be suitable. Nonetheless, clinical or pure model submissions with biomolecular experiments are welcomed.

Dr. Touati Benoukraf
Guest Editor

Manuscript Submission Information

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Keywords

  • omics
  • short-read sequencing
  • long-read sequencing
  • single-cell sequencing
  • screening
  • diagnosis
  • treatment strategies
  • algorithms
  • artificial intelligence
  • personalized medicine

Published Papers (3 papers)

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Research

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18 pages, 3109 KiB  
Article
Development, High-Throughput Profiling, and Biopanning of a Large Phage Display Single-Domain Antibody Library
by Hee Eon Lee, Ah Hyun Cho, Jae Hyeon Hwang, Ji Woong Kim, Ha Rim Yang, Taehoon Ryu, Yushin Jung and Sukmook Lee
Int. J. Mol. Sci. 2024, 25(9), 4791; https://doi.org/10.3390/ijms25094791 - 27 Apr 2024
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Abstract
Immunoglobulin G-based monoclonal antibodies (mAbs) have been effective in treating various diseases, but their large molecular size can limit their penetration of tissue and efficacy in multifactorial diseases, necessitating the exploration of alternative forms. In this study, we constructed a phage display library [...] Read more.
Immunoglobulin G-based monoclonal antibodies (mAbs) have been effective in treating various diseases, but their large molecular size can limit their penetration of tissue and efficacy in multifactorial diseases, necessitating the exploration of alternative forms. In this study, we constructed a phage display library comprising single-domain antibodies (sdAbs; or “VHHs”), known for their small size and remarkable stability, using a total of 1.6 × 109 lymphocytes collected from 20 different alpacas, resulting in approximately 7.16 × 1010 colonies. To assess the quality of the constructed library, next-generation sequencing-based high-throughput profiling was performed, analyzing approximately 5.65 × 106 full-length VHH sequences, revealing 92% uniqueness and confirming the library’s diverse composition. Systematic characterization of the library revealed multiple sdAbs with high affinity for three therapeutically relevant antigens. In conclusion, our alpaca sdAb phage display library provides a versatile resource for diagnostics and therapeutics. Furthermore, the library’s vast natural VHH antibody repertoire offers insights for generating humanized synthetic sdAb libraries, further advancing sdAb-based therapeutics. Full article
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22 pages, 5814 KiB  
Article
Multi-System-Level Analysis with RNA-Seq on Pterygium Inflammation Discovers Association between Inflammatory Responses, Oxidative Stress, and Oxidative Phosphorylation
by Ye-Ah Kim, Yueun Choi, Tae Gi Kim, Jisu Jeong, Sanghyeon Yu, Taeyoon Kim, Kisung Sheen, Yoonsung Lee, Taesoo Choi, Yong Hwan Park, Min Seok Kang and Man S. Kim
Int. J. Mol. Sci. 2024, 25(9), 4789; https://doi.org/10.3390/ijms25094789 - 27 Apr 2024
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Abstract
A pterygium is a common conjunctival degeneration and inflammatory condition. It grows onto the corneal surface or limbus, causing blurred vision and cosmetic issues. Ultraviolet is a well-known risk factor for the development of a pterygium, although its pathogenesis remains unclear, with only [...] Read more.
A pterygium is a common conjunctival degeneration and inflammatory condition. It grows onto the corneal surface or limbus, causing blurred vision and cosmetic issues. Ultraviolet is a well-known risk factor for the development of a pterygium, although its pathogenesis remains unclear, with only limited understanding of its hereditary basis. In this study, we collected RNA-seq from both pterygial tissues and conjunctival tissues (as controls) from six patients (a total of twelve biological samples) and retrieved publicly available data, including eight pterygium samples and eight controls. We investigated the intrinsic gene regulatory mechanisms closely linked to the inflammatory reactions of pterygiums and compared Asian (Korea) and the European (Germany) pterygiums using multiple analysis approaches from different perspectives. The increased expression of antioxidant genes in response to oxidative stress and DNA damage implies an association between these factors and pterygium development. Also, our comparative analysis revealed both similarities and differences between Asian and European pterygiums. The decrease in gene expressions involved in the three primary inflammatory signaling pathways—JAK/STAT, MAPK, and NF-kappa B signaling—suggests a connection between pathway dysfunction and pterygium development. We also observed relatively higher activity of autophagy and antioxidants in the Asian group, while the European group exhibited more pronounced stress responses against oxidative stress. These differences could potentially be necessitated by energy-associated pathways, specifically oxidative phosphorylation. Full article
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Review

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20 pages, 1444 KiB  
Review
Pancreatic β-Cell Identity Change through the Lens of Single-Cell Omics Research
by Floris Leenders, Eelco J. P. de Koning and Françoise Carlotti
Int. J. Mol. Sci. 2024, 25(9), 4720; https://doi.org/10.3390/ijms25094720 - 26 Apr 2024
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Abstract
The main hallmark in the development of both type 1 and type 2 diabetes is a decline in functional β-cell mass. This decline is predominantly attributed to β-cell death, although recent findings suggest that the loss of β-cell identity may also contribute to [...] Read more.
The main hallmark in the development of both type 1 and type 2 diabetes is a decline in functional β-cell mass. This decline is predominantly attributed to β-cell death, although recent findings suggest that the loss of β-cell identity may also contribute to β-cell dysfunction. This phenomenon is characterized by a reduced expression of key markers associated with β-cell identity. This review delves into the insights gained from single-cell omics research specifically focused on β-cell identity. It highlights how single-cell omics based studies have uncovered an unexpected level of heterogeneity among β-cells and have facilitated the identification of distinct β-cell subpopulations through the discovery of cell surface markers, transcriptional regulators, the upregulation of stress-related genes, and alterations in chromatin activity. Furthermore, specific subsets of β-cells have been identified in diabetes, such as displaying an immature, dedifferentiated gene signature, expressing significantly lower insulin mRNA levels, and expressing increased β-cell precursor markers. Additionally, single-cell omics has increased insight into the detrimental effects of diabetes-associated conditions, including endoplasmic reticulum stress, oxidative stress, and inflammation, on β-cell identity. Lastly, this review outlines the factors that may influence the identification of β-cell subpopulations when designing and performing a single-cell omics experiment. Full article
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