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Volume 27 Issue 5, May 2021

Volume 27 Issue 5

A cell atlas of cystic fibrosis

Carraro and colleagues report results from a study by a multi-institute consortium in which single-cell transcriptomics was applied to compare the airway cell subtypes of patients with cystic fibrosis (CF) with those of previously healthy patients. The cover by Matthew Gangl, a scientist at the Cystic Fibrosis Foundation, illustrates how single-cell transcriptomics shines a light on the tapestry of cellular subtypes in the airway and how CF lung disease alters the landscape. Collectively, this work aims to provide a framework for the development of therapies for CF.

See Carraro and colleagues

Image credit: Matthew Gangl. Cover design: Marina Spence.


  • Editorial |

    Enhancing population diversity in genetic databases and evaluating genetic scores in conjunction with other disease factors will be needed to ensure a more equitable impact of precision medicine.


World View

  • World View |

    Understanding disparities between genders in career equity could help promote equal pay and equal opportunity for women in academia.

    • Nina F. Schor



  • Q&A |

    Black scientists have been historically underrepresented in academia and science. A 2018 study of the National Center for Education Statistics found that only 6% of faculty in the USA were Black. Systemic racism and other issues that translate into a lack of diversity in research often cause unwelcoming environments for Black scientists. Last fall, sparked by the Black Lives Matter movement and triggered by the #BlackBirdersWeek virtual event, several scientific communities took to social media to create ‘#BlackIn...’ movements. Over the course of a week, organizers offered virtual talks, workshops and social events highlighting Black scientists in their fields. We spoke with the founders of four of these ‘#BlackIn...’ movements to learn how they are empowering the Black scientific community to start conversations about being Black in science, and to discuss strategies for continuing to diversify scientific research.

    • Rodrigo Pérez Ortega

News & Views


Review Articles

  • Review Article |

    Recent advances in machine learning techniques have created opportunities to improve medical diagnostics, but implementing these advances in the clinic will not be without challenge.

    • Jeroen van der Laak
    • Geert Litjens
    • Francesco Ciompi

Brief Communications



Amendments & Corrections


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