Recent technological advances have expanded the breadth of available omic data, from whole-genome sequencing data, to extensive transcriptomic, methylomic and metabolomic data. A key goal of analyses of these data is the identification of effective models that predict phenotypic traits and outcomes, elucidating important biomarkers and generating important insights into the genetic underpinnings of the heritability of complex traits. There is still a need for powerful and advanced analysis strategies to fully harness the utility of these comprehensive high-throughput data, identifying true associations and reducing the number of false associations. In this Review, we explore the emerging approaches for data integration - including meta-dimensional and multi-staged analyses - which aim to deepen our understanding of the role of genetics and genomics in complex outcomes. With the use and further development of these approaches, an improved understanding of the relationship between genomic variation and human phenotypes may be revealed.
We synthesized uniform ferrimagnetic magnetite nanocubes in the size range from 20 to 160 nm. The magnetic property of the nanocubes was characterized, and magnetic separation of the histidine-tagged protein was demonstrated.
Therapeutic effects of photodynamic therapy (PDT) are limited by cancer hypoxia because the PDT process is dependent on O concentration. Herein, we design biocompatible manganese ferrite nanoparticle-anchored mesoporous silica nanoparticles (MFMSNs) to overcome hypoxia, consequently enhancing the therapeutic efficiency of PDT. By exploiting the continuous O-evolving property of MnFeO nanoparticles through the Fenton reaction, MFMSNs relieve hypoxic condition using a small amount of nanoparticles and improve therapeutic outcomes of PDT for tumors in vivo. In addition, MFMSNs exhibit T contrast effect in magnetic resonance imaging (MRI), allowing in vivo tracking of MFMSNs. These findings demonstrate great potential of MFMSNs for theranostic agents in cancer therapy.
This article reviews the cascade strategy of stretchable conductive nanocomposites where various filler materials are processed for stretchable electronic applications.
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