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Interrogation of the Tumor Microenvironment by Nanoparticles.
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Department of Pathology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, 73104, USA; Peggy and Charles Stephenson Cancer Center, The University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA. Electronic address:
The tumor microenvironment (TME) plays a pivotal role in cancer progression by fostering intricate multicellular crosstalk among cancer cells, stromal cells, and immune cells. This review explores the emerging paradigm of utilizing nanoparticles to disrupt this crosstalk within the TME as a therapeutic strategy. Nanoparticles are engineered with precise physicochemical properties to target specific cell types and deliver therapeutic payloads, thereby inhibiting critical signaling pathways involved in tumor growth, invasion, and metastasis.
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Int J Mol Sci
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Department of Physics, Faculty of Physics, West University of Timisoara, Bv. V. Pârvan No. 4, 300223 Timisoara, Romania.
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This article highlights the recent work by Wang, Qi, (, 2024, https://doi.org/10.1039/D4NH00400K) on the full-color peptide-based fluorescent nanomaterials assembled under the control of amino acid doping.
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Global production and widespread use of plastics are increasing dramatically. With current limited recycling and recovery options, microplastics and nanoplastics (MNPs) persist in the natural environment. Due to their ubiquity, human exposure to MNPs is inevitable.
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CIMAINA and Dipartimento di Fisica "A. Pontremoli", Università degli Studi di Milano, Milan, Italy.
The brain's ability to perform efficient and fault-tolerant data processing is strongly related to its peculiar interconnected adaptive architecture, based on redundant neural circuits interacting at different scales. By emulating the brain's processing and learning mechanisms, computing technologies strive to achieve higher levels of energy efficiency and computational performance. Although efforts to address neuromorphic solutions through hardware based on top-down CMOS-based technologies have obtained interesting results in terms of energetic efficiency improvement, the replication of brain's self-assembled and redundant architectures is not considered in the roadmaps of data processing electronics.
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