Mouse articles from across Nature Portfolio

MISAR-seq combines spatial-ATAC-seq and RNA-seq for spatial profiling of both chromatin accessibility and gene expression, as demonstrated in the developing mouse brain.

XTC is a supervised deep-learning-based image-restoration approach that is trained with images from different modalities and applied to an in vivo modality with no ground truth. XTC’s capabilities are demonstrated in synapse tracking in the mouse brain.

For EM-based connectomics applications, a staining protocol for large tissue samples in the range of a centimeter has been developed, which avoids artifacts common with established protocols.

iGluSnFR variants with improved signal-to-noise ratios and targeting to postsynaptic sites have been developed, enabling the analysis of glutamatergic neurotransmission in vivo as illustrated in the mouse visual and somatosensory cortex.

Studies of the physiological effects of metabolites often rely on injections of metabolite salts. In this study, Lund et al. show that the hypertonicity of the injected solutions can drive the metabolic effects attributed to pharmacological administration of lactate. This work highlights the importance of taking treatment osmolarity and counterions into account in the experimental design.

DeepWonder removes background signals from widefield calcium recordings and enables accurate and efficient neuronal segmentation with high throughput.