Versatile Types of Organic/Inorganic Nanohybrids: From Strategic Design to Biomedical ApplicationsNana Zhao, Liemei Yan, Xiaoyi Zhao et al.|Chemical Reviews|2018 Organic/inorganic nanohybrids have attracted widespread interests due to their favorable properties and promising applications in biomedical areas. Great efforts have been made to design and fabricate versatile nanohybrids. Among different organic components, diverse polymers offer unique avenues for multifunctional systems with collective properties. This review focuses on the design, properties, and biomedical applications of organic/inorganic nanohybrids fabricated from inorganic nanoparticles and polymers. We begin with a brief introduction to a variety of strategies for the fabrication of functional organic/inorganic nanohybrids. Then the properties and functions of nanohybrids are discussed, including properties from organic and inorganic parts, synergistic properties, morphology-dependent properties, and self-assembly of nanohybrids. After that, current situations of nanohybrids applied for imaging, therapy, and imaging-guided therapy are demonstrated. Finally, we discuss the prospect of organic/inorganic nanohybrids and highlight the challenges and opportunities for the future investigations.
What’s in my pot? Real-time species identification on the MinION™Sissel Juul, Fernando Izquierdo, Adam M. Hurst et al.|bioRxiv (Cold Spring Harbor Laboratory)|2015 Abstract Whole genome sequencing on next-generation instruments provides an unbiased way to identify the organisms present in complex metagenomic samples. However, the time-to-result can be protracted because of fixed-time sequencing runs and cumbersome bioinformatics workflows. This limits the utility of the approach in settings where rapid species identification is crucial, such as in the quality control of food-chain components, or in during an outbreak of an infectious disease. Here we present What’s in my Pot? (WIMP), a laboratory and analysis workflow in which, starting with an unprocessed sample, sequence data is generated and bacteria, viruses and fungi present in the sample are classified to subspecies and strain level in a quantitative manner, without prior knowledge of the sample composition, in approximately 3.5 hours. This workflow relies on the combination of Oxford Nanopore Technologies’ MinION™ sensing device with a real-time species identification bioinformatics application.