MINERVA: A CubeSat for demonstrating DNA damage mitigation against space radiation in

Astrobiology CubeSat Gene editing Space radiation Transgenics

Journal

Heliyon
ISSN: 2405-8440
Titre abrégé: Heliyon
Pays: England
ID NLM: 101672560

Informations de publication

Date de publication:
Aug 2022
Historique:
received: 07 03 2022
revised: 06 05 2022
accepted: 08 08 2022
entrez: 29 8 2022
pubmed: 30 8 2022
medline: 30 8 2022
Statut: epublish

Résumé

The ideas of deep-space human exploration, interplanetary travel, and space civilizations are becoming a reality. However, numerous hindrances remain standing in the way of accomplishing these feats, one of which is space ionizing radiation. Space ionizing radiation has become the most hazardous health risk for long-term human space exploration, as it can induce chromosomal damage and epigenetic changes. The Minerva mission aims to demonstrate cutting-edge technology to inhibit DNA damage against deep-space radiation exposure by using genetic modification. The concept of the experiment is to transform a creature with radiation intolerance into a transgenic organism that is radiation-tolerant. In this mission,

Identifiants

pubmed: 36033287
doi: 10.1016/j.heliyon.2022.e10267
pii: S2405-8440(22)01555-9
pmc: PMC9404340
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e10267

Informations de copyright

© 2022 The Author(s).

Déclaration de conflit d'intérêts

The authors declare no conflict of interest.

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Auteurs

Sumeth Klomchitcharoen (S)

Brain-Computer Interface Laboratory, Department of Biomedical Engineering, Faculty of Engineering, Mahidol University, Nakhon Pathom, Thailand.

Tanchanok Tangwattanasirikun (T)

Brain-Computer Interface Laboratory, Department of Biomedical Engineering, Faculty of Engineering, Mahidol University, Nakhon Pathom, Thailand.

Sean Gallup (S)

Brain-Computer Interface Laboratory, Department of Biomedical Engineering, Faculty of Engineering, Mahidol University, Nakhon Pathom, Thailand.

Noparin Smerwong (N)

Brain-Computer Interface Laboratory, Department of Biomedical Engineering, Faculty of Engineering, Mahidol University, Nakhon Pathom, Thailand.

Peetimon Arunwiriyakit (P)

Brain-Computer Interface Laboratory, Department of Biomedical Engineering, Faculty of Engineering, Mahidol University, Nakhon Pathom, Thailand.

Pisitchai Tachavises (P)

Brain-Computer Interface Laboratory, Department of Biomedical Engineering, Faculty of Engineering, Mahidol University, Nakhon Pathom, Thailand.

Jin Tangkijngamwong (J)

Brain-Computer Interface Laboratory, Department of Biomedical Engineering, Faculty of Engineering, Mahidol University, Nakhon Pathom, Thailand.

Pichamon Phatthanaanukun (P)

Brain-Computer Interface Laboratory, Department of Biomedical Engineering, Faculty of Engineering, Mahidol University, Nakhon Pathom, Thailand.

Benjamard Jirapanyalerd (B)

Brain-Computer Interface Laboratory, Department of Biomedical Engineering, Faculty of Engineering, Mahidol University, Nakhon Pathom, Thailand.

Siripak Chattanupakorn (S)

Brain-Computer Interface Laboratory, Department of Biomedical Engineering, Faculty of Engineering, Mahidol University, Nakhon Pathom, Thailand.

Visarut Rungpongvanich (V)

Brain-Computer Interface Laboratory, Department of Biomedical Engineering, Faculty of Engineering, Mahidol University, Nakhon Pathom, Thailand.

Norawit Nangsue (N)

Institute of Field Robotics, King Mongkut's University of Technology Thonburi, Bangkok, Thailand.

Krai Meemon (K)

Department of Anatomy, Faculty of Science, Mahidol University, Bangkok, Thailand.

Patompon Wongtrakoonkate (P)

Department of Biochemistry, Faculty of Science, Mahidol University, Bangkok, Thailand.

Suradej Hongeng (S)

Section for Translational Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.

Yodchanan Wongsawat (Y)

Brain-Computer Interface Laboratory, Department of Biomedical Engineering, Faculty of Engineering, Mahidol University, Nakhon Pathom, Thailand.

Classifications MeSH