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Radiation
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Omics in Radiation Research
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Omics in Radiation Research

A special issue of Radiation (ISSN 2673-592X).

Deadline for manuscript submissions: closed (15 December 2022) | Viewed by 14733

Special Issue Editors

Dr. Omid Azimzadeh

E-Mail
Guest Editor
Section of Radiation Biology, Federal Office of Radiation Protection (BfS), 85764 Nauenberg, Germany
Interests: radiation omics; radiation biology; normal tissue response; metabolism; PPAR; cell interaction; cancer therapy
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Christos Ouzounis

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Guest Editor
School of Informatics, Aristotle University of Thessalonica (AUTH), GR-54124 Thessalonica, Greece
Interests: bioinformatics; digital biology; biological computation; computational biology

Special Issue Information

Dear Colleagues,

Radiation exposure as a risk for the development of cancer and non-cancerous diseases remains one of the most important health concerns. Ionizing radiation induces a complex network of cellular and molecular responses. The underlying molecular mechanisms involved in pathophysiological events following radiation exposure have not been fully elucidated.

Established omics technologies provide comprehensive platforms to investigate the molecular mechanisms involved in radiation-induced biological effects. A good combination of comparative omics and advanced bioinformatics can lead to a correct interpretation of the cellular response to radiation exposure. The generated omics datasets can be integrated with results from other experimental platforms to develop a strong strategy for evaluating radiation effects on human health.

This Special Issue on “Omics in Radiation Research” provides an opportunity to look at the current state, key achievements, main challenges, and future developments of the applications of omics in different disciplines of radiation science. The current issue aims to highlight the importance of omics approaches and its recent advances in radiation research. This Special Issue welcomes submissions of original research articles, case reports, and high-quality reviews that address recent subjects in proteomics, transcriptomics, metabolomics, RNA-seq, and bioinformatics applied in radiation biology, biodosimetry, and oncology.

Dr. Omid Azimzadeh
Prof. Dr. Christos Ouzounis
Guest Editors

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 submissions that pass pre-check are 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. Radiation is an international peer-reviewed open access quarterly 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 1000 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.

Keywords

  • radiation
  • radiotherapy
  • omics
  • proteomics
  • transcriptomics
  • metabolomics
  • RNA seq
  • bioinformatics
  • multiomics
  • panomics
  • radiomics
  • molecular mechanism
  • diseases
  • cancer
  • biomarkers
  • integrated omics
  • genomics
  • big data

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Published Papers (4 papers)

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Research

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7 pages, 1184 KiB  
Article
BRIDE v2: A Validated Collection of Genes Involved in the Mammalian Brain Response to Low-Dose Ionizing Radiation
by Christos Karapiperis, Dimitrios Vasileiou, Lefteris Angelis and Christos A. Ouzounis
Radiation 2022, 2(4), 311-317; https://doi.org/10.3390/radiation2040024 - 12 Oct 2022
Cited by 1 | Viewed by 1855
Abstract
There is significant interest in the response of the mammalian brain to low-dose ionizing radiation (LDIR), mainly examined by gene or protein expression, with applications in radiation safety on Earth, the atmosphere and outer space. Potential associations of molecular-level responses with sensory or [...] Read more.
There is significant interest in the response of the mammalian brain to low-dose ionizing radiation (LDIR), mainly examined by gene or protein expression, with applications in radiation safety on Earth, the atmosphere and outer space. Potential associations of molecular-level responses with sensory or cognitive defects and neurodegenerative diseases are currently under investigation. Previously, we have described a light-weight approach for the storage, analysis and distribution of relevant datasets, with the platform BRIDE. We have re-implemented the platform as BRIDE v2 on the cloud, using the bioinformatics infrastructure ELIXIR. We connected the annotated list of 3174 unique gene records with modern omics resources for downstream computational analysis. BRIDE v2 is a cloud-based platform with capabilities that enable researchers to extract, analyze, visualize as well as export the gene collection. The resource is freely available online at <http://bride-db.eu>. Full article
(This article belongs to the Special Issue Omics in Radiation Research)
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16 pages, 3938 KiB  
Article
The German Uranium Miners’ Biobank—A Biobank for OMICs Radiation Research
by Maria Gomolka, Martin Bucher, Lukas Duchrow, Beate Hochstrat, Dirk Taeger, Georg Johnen and Simone Moertl
Radiation 2022, 2(1), 62-77; https://doi.org/10.3390/radiation2010005 - 13 Jan 2022
Cited by 1 | Viewed by 3421
Abstract
Systematic bio- and databanks are key prerequisites for modern radiation research to investigate radiation response mechanisms in the context of genetic, environmental and lifestyle-associated factors. This report presents the current status of the German Uranium Miners’ Biobank. In 2008, the bio- and databank [...] Read more.
Systematic bio- and databanks are key prerequisites for modern radiation research to investigate radiation response mechanisms in the context of genetic, environmental and lifestyle-associated factors. This report presents the current status of the German Uranium Miners’ Biobank. In 2008, the bio- and databank was established at the Federal Office for Radiation Protection, and the sampling of biological materials from former uranium miners with and without lung cancer was initiated. For this purpose, various biological specimens, such as DNA and RNA, were isolated from blood samples as well as from formalin-fixed paraffin-embedded lung tissue. High-quality biomaterials suitable for OMICs research and the associated data on occupational radiation and dust exposure, and medical and lifestyle data from over 1000 individuals have been stored so far. Various experimental data, e.g., genome-wide SNPs, whole genome transcriptomic and miRNA data, as well as individual chromosomal aberration data from subgroups of biobank samples, are already available upon request for in-depth research on radiation-induced long-term effects, individual radiation susceptibility to lung cancer and radon-induced fingerprints in lung cancer. This biobank is the first systematic uranium miners´ biobank worldwide that is suitable for OMICs research on radiation-exposed workers. It offers the opportunity to link radiation-induced perturbations of biological pathways or processes and putative adverse outcome(s) by OMICs profiling at different biological organization levels. Full article
(This article belongs to the Special Issue Omics in Radiation Research)
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Review

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13 pages, 978 KiB  
Review
The Potential of Omics in Biological Dosimetry
by Daniela Hladik, Martin Bucher, David Endesfelder and Ursula Oestreicher
Radiation 2022, 2(1), 78-90; https://doi.org/10.3390/radiation2010006 - 17 Jan 2022
Cited by 9 | Viewed by 3666
Abstract
Biological dosimetry is an internationally recognized method for quantifying and estimating radiation dose following suspected or verified excessive exposure to ionising radiation. In severe radiation accidents where a large number of people are potentially affected, it is possible to distinguish irradiated from non-irradiated [...] Read more.
Biological dosimetry is an internationally recognized method for quantifying and estimating radiation dose following suspected or verified excessive exposure to ionising radiation. In severe radiation accidents where a large number of people are potentially affected, it is possible to distinguish irradiated from non-irradiated people in order to initiate appropriate medical care if necessary. In addition to severe incidents caused by technical failure, environmental disasters, military actions, or criminal abuse, there are also radiation accidents in which only one or a few individuals are affected in the frame of occupational or medical exposure. The requirements for biological dosimetry are fundamentally different for these two scenarios. In particular, for large-scale radiation accidents, pre-screening methods are necessary to increase the throughput of samples for a rough first-dose categorization. The rapid development and increasing use of omics methods in research as well as in individual applications provides new opportunities for biological dosimetry. In addition to the discovery and search for new biomarkers, dosimetry assays based on omics technologies are becoming increasingly interesting and hold great potential, especially for large-scale dosimetry. In the following review, the different areas of biological dosimetry, the problems in finding suitable biomarkers, the current status of biomarker research based on omics, the potential applications of assays using omics technologies, and also the limitations for the different areas of biological dosimetry are discussed. Full article
(This article belongs to the Special Issue Omics in Radiation Research)
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Other

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6 pages, 1015 KiB  
Commentary
Omics in Radiation Biology: Surprised but Not Disappointed
by Prabal Subedi, Simone Moertl and Omid Azimzadeh
Radiation 2022, 2(1), 124-129; https://doi.org/10.3390/radiation2010009 - 15 Feb 2022
Cited by 9 | Viewed by 4316
Abstract
High-throughput omics platforms have pioneered our approach to understanding biological and cellular processes. Omics technologies provide powerful tools for studying various molecules, such as genes, proteins, and metabolites, in a particular state and at a particular time. Although omics has had a presence [...] Read more.
High-throughput omics platforms have pioneered our approach to understanding biological and cellular processes. Omics technologies provide powerful tools for studying various molecules, such as genes, proteins, and metabolites, in a particular state and at a particular time. Although omics has had a presence in the radiation community for more than 3 decades, the use of it is still in its infancy. Omics studies enable radiation researchers to understand the molecular mechanism underlying the biological effects of radiation exposure on normal and cancerous tissues, and to answer critical questions such as individual sensitivity, risk assessment, and biomarker discovery. In this commentary, we take a look back at the omics studies that have been conducted in radiation research in the last 20 years and discuss whether omics has fulfilled expectations by examining the knowledge and research gaps in radiation omics. Full article
(This article belongs to the Special Issue Omics in Radiation Research)
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