Integrating bioinformatic strategies in spatial life science research

• Published in: Briefings in bioinformatics 2022-11, Vol.23 (6)
• Main Authors: Hao, Yangyang, Lu, Liang, Liu, Anna, Lin, Xue, Xiao, Li, Kong, Xiaoyue, Li, Kai, Liang, Fengji, Xiong, Jianghui, Qu, Lina, Li, Yinghui, Li, Jian
• Format: Article
• Language: English
• Subjects: Biological Science Disciplines; Computational Biology; Review; Space Flight
• ISSN: 1467-5463; 1477-4054
• DOI: 10.1093/bib/bbac415

As space exploration programs progress, manned space missions will become more frequent and farther away from Earth, putting a greater emphasis on astronaut health. Through the collaborative efforts of researchers from various countries, the effect of the space environment factors on living systems is gradually being uncovered. Although a large number of interconnected research findings have been produced, their connection seems to be confused, and many unknown effects are left to be discovered. Simultaneously, several valuable data resources have emerged, accumulating data measuring biological effects in space that can be used to further investigate the unknown biological adaptations. In this review, the previous findings and their correlations are sorted out to facilitate the understanding of biological adaptations to space and the design of countermeasures. The biological effect measurement methods/data types are also organized to provide references for experimental design and data analysis. To aid deeper exploration of the data resources, we summarized common characteristics of the data generated from longitudinal experiments, outlined challenges or caveats in data analysis and provided corresponding solutions by recommending bioinformatics strategies and available models/tools.