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A subset of statistically significant correlations are extruded in three-dimensional space. Price et al. (p 747) describe the integration of whole genome sequences; clinical tests, metabolomes, proteomes, and microbiomes at three time points; and regular quantified self-measurements for 108 individuals over 9 months. They obtain thousands of cross-sectional interomic correlations, each represented by a line in the circular figure, to better understand health and disease. Image credit: Allison Kudla, John C. Earls (Institute for Systems Biology)
Retraction of a study claiming gene editing via an Argonaute enzyme illustrates the importance of post-publication peer review in the age of 24/7 media.
Longitudinal multi-omics data, clinical tests and biomarker analyses across a large cohort lay the groundwork for understanding the transition from wellness to disease.
Standards for sequencing the microbial 'uncultivated majority', namely bacterial and archaeal single-cell genome sequences, and genome sequences from metagenomic datasets, are proposed.
Longitudinal clinical and multi-omics data from 108 healthy individuals are analyzed to identify putative biomarkers and diagnostics of early disease states.
Expansion microscopy, a technique for super-resolution imaging, is extended to clinical human tissue samples that are formalin fixed, paraffin embedded, stained and/or fresh frozen.
Rapid cloning of genes from any crop plant species (or cultivar) whose chromosomes can be flow sorted is enabled by a combination of short-read sequencing and proximity ligation.