Assay systems articles from across Nature Portfolio

Assay systems are methods that are used to measure the presence, amount or activity of a substance e.g. a drug, cell type or cell component. A wide range of experimental methods are used to measure different components of organic samples in assay systems.

Latest Research and Reviews

News and Comment

  • Comments & Opinion |

    CRISPR-based assays can be adopted as ultrasensitive molecular diagnostics in resource-limited settings, but point-of-care applications must address additional requirements. Here, we discuss the major obstacles for developing these assays and offer insights into how to surmount them.

    • Zhen Huang
    • , Christopher J. Lyon
    •  & Tony Y. Hu
  • News & Views |

    Pooled testing for the diagnosis of COVID-19 via isothermal nucleic acid amplification and detection can be automated by using electromagnetically actuated swarms of millimetric magnets to handle droplets of magnetized samples on a microfluidic chip.

    • Jae-Hyun Lee
    •  & Jinwoo Cheon
  • Comments & Opinion |

    Lokwani et al. discuss the necessary considerations when performing spectral cytometry on highly autofluorescent samples to extract phenotypic information from autofluorescence spectra and perform accurate quantification of fluorescent labels.

    • Ravi Lokwani
    • , Rohan Chaudhari
    •  & Kaitlyn Sadtler
  • Comments & Opinion |

    In 2017 Professor Frances S. Ligler was inducted into the National Inventors Hall of Fame for her inventions in portable optical biosensors. Professor Ligler now talks to Nature Chemistry about the challenge of developing new sensor designs into reliable products, and some of the pitfalls to avoid in the development process.

    • Russell Johnson
    Nature Chemistry 14, 480-481
  • News & Views |

    A method connecting single-cell genomic, transcriptomic or proteomic profiles to functional cellular characteristics, especially time-varying phenotypic changes, would inform our understanding of cancer biology. We present functional single-cell sequencing (FUNseq) to address this need and describe how it might provide a unique way to unravel mechanisms that drive cancer.