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During the past decade, initial skepticism rapidly changed into widespread recognition of the role of single atoms in heterogeneous catalysts. The next decade could usher in the era of industrial applications as manufacturing of durable single atom catalysts is perfected.
Neural recording technologies increasingly enable simultaneous measurement of neural activity from multiple brain areas. To gain insight into distributed neural computations, a commensurate advance in experimental and analytical methods is necessary. We discuss two opportunities towards this end: the manipulation and modeling of neural population dynamics.
Writing in Nature communications, Zhu and collaborators reported the development of a genetically encoded sensor for the detection of formaldehyde in cells and tissues. This tool has great potential to transform formaldehyde research; illuminating a cellular metabolite that has remained elusive in live structures.
Many newly-discovered microbial phyla have been studied solely by cultivation-independent techniques such as metagenomics. Much of their biology thus remains elusive, because the organisms have not yet been isolated and grown in the lab. Katayama et al. lift the curtain on some intriguing biology by cultivating and studying bacteria from the elusive OP9 phylum (Atribacterota).
