metabolomics Archives - Astrobiology

Main categories of extremophiles. This illustration depicts the 10 most common extremophile types, highlighting their defining physicochemical stressors and representative natural environments. -- Briefings in Bioinformatics

AI - Data - Apps - Cybernetics, Analog Studies, Arctic / Antarctic / Alpine, Away Teams & Field Reports, Biochemistry & Organic Chemistry, Biogeochemical Cycles & Geobiology, Biophysics, Biosignatures & Paleobiology, Caves, Craters, Mountains, Subsurface, Lava Tubes, Cryobiology, Desert Worlds, Extremeophiles and Extreme Environments, Fossils & Paleontology, Genomics, Proteomics, Bioinformatics, Habitable Zones, Icy Worlds, Mapping, Geodesy, Cartography, Bathymetry, Nomenclature, Systematics, Natural History, Status Report

Decoding Extremophiles: Insights From Bioinformatics, Machine Learning, And Data-driven Approaches

by Keith CowingMay 22, 2026May 23, 2026

Life thrives in Earth’s most inhospitable environments, from boiling hydrothermal vents to hypersaline lakes and frozen polar deserts, thanks to the remarkable adaptations of extremophilic microorganisms.

StructureMASST

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StructureMASST: A Search Engine For The Chemistry Of Earth Life

by Keith CowingMay 14, 2026May 14, 2026

Editor’s note: As we expand outward from Earth to other worlds we are almost certainly going to encounter things we did not expect to find – things that are unlikely […]

Graphical abstract -- Journal of the American Chemical Society

Biosignatures & Paleobiology, Genomics, Proteomics, Bioinformatics, Mars, Microbiology & Virology, Origin & Evolution of Life, Status Report

Fungal–Mineral Interaction: Astrobiology Insights from Iron-Rich Mineral Alteration by an Extremophile Black Fungus

by Keith CowingDecember 17, 2025January 15, 2026

Iron-rich minerals, such as hematite (α-Fe2O3), are prominent constituents of the Martian surface; they are considered to be potential indicators of past aqueous activity and habitability.

Body-wide tissue stress map with cfRNA. a, Cell-type deconvolution using Bayes Prism with Tabula Sapiens as a reference. Top ten cell types by average fraction across all samples with all remaining cell types summed together as ‘other’. b, Cell type of origin for hepatocytes, endothelial cells, haematopoietic stem cells and melanocytes, which all show increased abundance during post-flight and recovery timepoints. c, Cell proportion changes in different layers of the skin from spatially resolved transcriptomics on skin biopsies. Predicted melanocyte abundance changes are significant in the inner epidermal and outer dermal skin compartments. In panels b and c, n = 4 independent participants across 7 timepoints. The centre of the boxplots represent the median, the box hinges encompass the first and third quartiles, and the whiskers extend to the smallest and largest values no further than 1.5 × IQR away from the hinges. NS, not significant; **P ≤ 0.01; ***P ≤ 0.001. -- Nature via PubMed

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The Space Omics and Medical Atlas (SOMA) and International Astronaut Biobank

by Keith CowingSeptember 3, 2024June 12, 2025

Spaceflight induces molecular, cellular and physiological shifts in astronauts and poses myriad biomedical challenges to the human body, which are becoming increasingly relevant as more humans venture into space.