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This Review discusses key aspects of experimental design to evaluate intergenerational and transgenerational epigenetic inheritance. It describes advantages of patrilineal and matrilineal design, and it offers advice for selecting animals for breeding and for determining the weaning scheme and group size.
A robust acoustic droplet ejection–drop-on-tape method delivers samples to an X-ray free-electron laser source for combined serial femtosecond crystallography and X-ray emission spectroscopy analysis, providing detailed insights into macromolecular reaction dynamics.
SyConn is a computational framework that infers the synaptic wiring of neurons in volume electron microscopy data sets with machine learning. It has been applied to zebra finch, mouse and zebrafish neuronal tissue samples.
Ouzounov et al. report calcium imaging with three-photon microscopy in the mouse brain. The approach enabled noninvasive recording of activity with high spatial and temporal resolution from GCaMP6-labeled neurons located as deep as the hippocampus.
A tool based on hidden Markov model and hierarchical Dirichlet process (HMM-HDP) can call two methylated cytosine variants and a methylated adenine variant directly from genomic DNA using nanopore sequencing data.
A deep learning approach enables fast and robust prediction of hematopoietic stem cell lineage choice in time-lapse imaging three generations before conventional marker onset.
A hidden Markov model (HMM)-based tool enables detection of 5-methylcytosine (5-mC) from single-molecule nanopore-sequencing data generated directly from human genomic DNA without chemical treatment.
Fragmentation of large, imperfect crystals into nanocrystals by sonication, vortexing, or vigorous pipetting facilitates atomic-resolution analysis by the cryo-EM method MicroED.
Seq-Well provides similar scale and data quality to massively parallel, droplet-based single-cell RNA-seq methods in an easy to use, inexpensive and portable microwell format compatible with low-input samples.
A software tool, cryoSPARC, addresses the speed bottleneck in cryo-EM image processing, enabling automated macromolecular structure determination in hours on a desktop computer without requiring a starting model.