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Label-free three-photon imaging of whole, uncleared intact organoids generated from Rett syndrome patients show shorter migration distances and slower migration speeds of mutant radially migrating neurons with more tortuous trajectories.

Combining high-resolution imaging with automated image segmentation and supervised machine learning achieves accurate cellular feature extraction and automated cell type recognition in a large-scale developmental process.

Analysis of 108 human embryos aged 3–7 weeks reveals modes of primary and secondary neurulation, regulation of body elongation, somite formation rate, and common occurrence of a split neural tube.

Radial plant growth produces large parts of terrestrial biomass and can be computationally simulated with the help of an instructive framework of intercellular communication loops.

An in vivo reporter of TGFb signaling in zebrafish reveals that melanoma cells undergoing chronic TGFb signaling up-regulate extracellular matrix genes, down-regulate IFN, and are preferentially phagocytosed by macrophages compared to non-TGFb responsive melanoma cells.

If CHIP and mLOY do not significantly contribute to inflammation, atherosclerosis or myocardial infarction risk independently, CHIP may increase the risk of MI in men who do not carry mLOY.

DExCon, LUXon, and DExogron approaches simultaneously block endogenous gene expression and permit tuning of re-expression levels in time and space; proof-of-principle reveals unforeseen differences in protein kinetics, cargo handling, and cell migration regulation between closely related Rab11 family members.

Stellate cell lactate transporter MCT1 significantly contributes to liver fibrosis through increased collagen 1 protein expression in vitro and in vivo.

Time-resolved transition metal ion fluorescence resonance energy transfer using a fluorescent, noncanonical amino acid donor and metal ion acceptor measures distances and distance distributions in proteins, allowing the equilibrium distributions among conformational states to be accurately determined.

HLA class I-disease associations have been studied for decades; a new approach for investigating the underlying mechanism can overcome past problems with interpretation and help to understand the etiology of human diseases.