Genome-scale metabolic models (GEMs) are relatively new tools for studying the metabolic changes associated with many diseases. GEMs are reconstructions of the metabolic networks of cells, sometimes able to represent an organism’s whole body.
Results for "stem cells"
Helium Ion Microscopy: A Versatile Tool to Study Biological Interactions at the Nanoscale
In their article published in Advanced Biosystems, Miika Leppänen et al. employ helium ion microscopy to visualize the interaction between phages and bacteria.
Storing Energy in a Rose
A special structure for storing energy known as a supercapacitor has been constructed in a plant for the first time.
To PCE Infinity and Beyond: Recent Perovskite Research
Perovskite-based photovoltaics are currently achieving PCEs of just over 22%. Here are some interesting highlights of recent perovskite research.
Graphitic Carbon Nitride Derivatives for Cryopreservation
In Advanced Materials, researchers report for the first time the application of graphitic carbon nitride derivatives for cryopreservation of biological systems.
Well-Defined fluorinated copolymers via organometallic mediated radical polymerization
The synthesis of fluorinated copolymers via organometallic mediated radical polymerization is reported in a new Communication published in Macromolecular Rapid Communications.
Most Read – Featuring 3D-Cancer Tissue Models, Chemo-Photothermal Therapy and Electrospun Antibiotic Membranes
This month’s top Advanced Healthcare Materials papers.
Novel Divide-and-Conquer-Based Computer Simulations
Computer simulations provide valuable and often critical insight into the structure and properties of materials and molecules.
Interview: Advances in Carbon Dioxide Utilization
Prof. Elizabeth Biddinger talks about her recent article on copper-based catalysts for carbon dioxide electroreduction, which brings new insights towards the renewable conversion of carbon dioxide, a well-known greenhouse gas, into green fuels and chemicals.
Dynamic Enhancer Function in the Chromatin Context
In live cells, many enhancer-binding transcription factors exchange rapidly with their binding sites and leave no footprints in chromatin. Available data suggests a highly dynamic mechanism for enhancer activation, involving numerous stochastic binding events at a target enhancer.
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