Volume 14 Issue 10, October 2019

Cardiac tissues are derived from hiPS cells and electromechanically matured toward an adult-like phenotype. This protocol also describes optimized methods for analyses of function, ultrastructure, and cellular properties of these tissues.

This protocol describes the detailed procedures for design, assembly, and characterization of different types of double-stranded DNA nanostructures, as well as a number of downstream applications.

Precise quantification of metabolic pathway fluxes is needed in many applications, e.g., microbiological engineering. The authors describe a GC–MS method for ¹³C metabolic flux analysis with data analysis using Metran software.

The production of nanomaterials has increased, but their environmental impact is uncertain. This protocol describes stable isotope labeling of metal and metal oxide nanomaterials to enable tracing in aquatic and terrestrial environments and within organisms.

This protocol provides guidelines for designing and validating antibody panels for fluorescence-based imaging of FFPE tissue sections using cyclic immunofluorescence (t-CyCIF) or other multiplexed imaging methods.

This protocol describes the synthesis, purification, functionalization and characterization of nitrogen-doped carbon nanodots (NCNDs). In addition, examples of how to tailor the color emission, electrochemistry and chirality of NCNDs are provided.

This protocol enables gene delivery in intact plants using high-aspect-ratio carbon nanotubes (CNTs). The procedure contains detailed instructions for the functionalization of CNTs, DNA loading, delivery, and transgene expression characterization.

These rhodium-catalyzed asymmetric Suzuki–Miyaura reactions couple racemic allyl halide starting materials with sp²-hybridized boronic acid derivatives to provide access to enantiomerically enriched cyclic allylic products.

Specific high-sensitivity enzymatic reporter unlocking (SHERLOCK) allows multiplexed, portable, and ultra-sensitive detection of RNA or DNA from clinically relevant samples.

This computational protocol functionally links bacterial or archaeal genes within a dataset, enabling reliable functional predictions to be extracted for uncharacterized genes. As one example, the authors describe the ‘CRISPRicity’ metric to link genes to CRISPR–Cas systems.