Volume 18 Issue 5, May 2023

This protocol for concomitant high-throughput mitochondrial DNA genotyping and accessible chromatin profiling of single cells allows paired analysis of clonal relationships and cell states.

The authors present a protocol for preparation—by dehydration and mounting—of whole human organs for imaging via X-ray hierarchical phase-contrast tomography, resulting in high-resolution images with a ratio of voxel size to organ diameter of 1:150,000.

This protocol isolates large and small extracellular vesicles, as well as nonvesicular nanoparticles known as exomeres and supermeres, from cell-conditioned medium or human plasma via differential ultracentrifugation, filtration, concentration and high-resolution density-gradient fractionation.

The iBEAT V2.0 is a robust, multisite-applicable, infant-tailored computational pipeline that uses deep learning to process and analyze infant brain magnetic resonance images. This protocol describes the usage and technique details of the iBEAT V2.0.

EPAM-ia is a method based on flow cytometry for the simultaneous isolation and analysis of endothelial cells, pericytes, astrocytes and microglia from the neurovascular unit, a structure that critically regulates blood–brain barrier function.

A robust, mild and fast approach for the posttranslational, site-directed fluorination of protein sidechains, detectable via ¹⁹F-based magnetic resonance methods.

This protocol describes cfSNV, a user-friendly software package that comprehensively considers the unique properties of cell-free DNA for the sensitive detection of somatic mutations from blood samples.

The authors present a protocol for the generation of human blastoids—structures morphologically and transcriptionally resembling complete blastocysts—from pluripotent stem cells and for their use in modeling implantation into hormonally stimulated endometrial cells.

In many environmental or clinical settings, it is useful to detect and quantify analytes instantaneously in situ. This protocol describes how to develop metal–organic frameworks for selective, sensitive analysis by luminescence.

The authors present a simple and cost-efficient approach for the covalent coupling of enzymes on solid supports or for the intermolecular cross-linking of enzymes.