Litcius/Paper detail

Advancing reproducibility can ease the ‘hard truths’ of synthetic biology

Matthew W. Lux, Elizabeth A. Strychalski, Gary J. Vora

2023Synthetic Biology14 citationsDOIOpen Access PDF

Abstract

Abstract Reproducibility has been identified as an outstanding challenge in science, and the field of synthetic biology is no exception. Meeting this challenge is critical to allow the transformative technological capabilities emerging from this field to reach their full potential to benefit the society. We discuss the current state of reproducibility in synthetic biology and how improvements can address some of the central shortcomings in the field. We argue that the successful adoption of reproducibility as a routine aspect of research and development requires commitment spanning researchers and relevant institutions via education, incentivization and investment in related infrastructure. The urgency of this topic pervades synthetic biology as it strives to advance fundamental insights and unlock new capabilities for safe, secure and scalable applications of biotechnology. Graphical Abstract

Topics & Concepts

Synthetic biologyTransformative learningField (mathematics)ScalabilityComputer scienceNanotechnologyReproducibilityData scienceBiochemical engineeringManagement scienceEngineering ethicsBiologyEngineeringComputational biologyChemistryPsychologyMaterials scienceMathematicsPedagogyDatabasePure mathematicsChromatographyGene Regulatory Network AnalysisSingle-cell and spatial transcriptomicsCell Image Analysis Techniques