Results 181 to 190 of about 744,413 (213)

3D Bioprinted Glioblastoma Multiforme Models: How the Extracellular Matrix Glycosignature Influences Drug Response

Advanced Functional Materials, EarlyView.
Aberrant glycosylation in the glioblastoma tumor microenvironment drives therapeutic resistance. Here, a 3D bioprinted model was engineered by incorporating α‐NeuNAc‐(2→3)‐β‐D‐Gal‐ and chondroitin sulfate. Combined multiplex immunofluorescence and synchrotron‐based nanoCT analysis revealed that glycan‐matrix interactions dictate specific drug‐escape ...
Francesca Cadamuro, Marco Piazzoni, Ilaria Borghi, Alberto Baeri, Alessandro Fumagalli, Federica Perillo, Hafiz Muhammad Fahad, Martina Ghizzi, Luca Crippa, Gabriella Nicolini, Angela Bentivegna, Daniele Ramazzotti, Valentina Zuliani, Mirko Rivara, Carlo Giorgio Giussani, Andrea Di Cristofori, Guido Cavaletti, Federica Facciotti, Sobhan Sheikhi, Claire Seydoux, Murielle Salome, Peter Cloetens, Alberto Bravin, Paola Coan, Francesco Nicotra, Laura Russo   +25 more
wiley   +1 more source

Research progress on the pharmacological activity, biosynthetic pathways, and biosynthesis of crocins. [PDF]

Beilstein J Org Chem
Hua Z, Liu N, Yan X.
europepmc   +1 more source

Mechanical Programming of PEGDA‐β‐CD Polyrotaxane‐Based Hydrogels via Host–Guest Molecular Recognition

Advanced Functional Materials, EarlyView.
A mechanically programmable hydrogel for tissue engineering is developed by modulating the molecular threading density of poly(ethylene glycol) diacrylate‐β‐cyclodextrin (PEGDA‐β‐CD) polyrotaxane and combining it with β‐CD‐modified gelatin. The polyrotaxane‐guided transition from disordered pores to laminar microstructures enables precise tuning ...
Shiyi Chen, Xudan Xing, Haopu Su, Dominik Voll, Xiaohe Xu, Jiafeng Wan, Tongtong Cui, Christian W. Schmitt, Stefan Bräse, Peng Li, Patrick Théato   +10 more
wiley   +1 more source

Elucidating the phytochemical profile of Sophorae Flavescentis Radix-Astragali Radix herb pair: an integrated LC-QTOF-MS/MS, pharmacological activity, and network pharmacology study on anti-hepatocellular carcinoma effects. [PDF]

Front Chem
Yin Y, Qu J, Qu L, Li Z, Xu H, Li Q.
europepmc   +1 more source

Engineered Nanotopography to Modulate Growth and Signaling of Neuronal Networks

Advanced Functional Materials, EarlyView.
This study examines the interaction between neurons and nanoscale topographies on engineered substrates. Neurons cultured on nanowires, nanopillars and nanoneedles exhibit enhanced neurite outgrowth, form more organized neuronal circuits, and display improved synaptic connectivity, compared to flat substrates.
Hao Nguyen Tran, Kalyan Shobhana, Zlatan Trifunovic, Dan Smith, Michael Stuiber, Chennupati Jagadish, Mirella Dottori, Andrea J. O'Connor, Vini Gautam   +8 more
wiley   +1 more source

Effect of Lanthanide Ions and Triazole Ligands on the Molecular Properties, Spectroscopy and Pharmacological Activity. [PDF]

Int J Mol Sci
Alcolea Palafox M, Belskaya NP, Todorov LT, Hristova-Avakoumova NG, Kostova IP.   +4 more
europepmc   +1 more source

An Epigenetic Fate Converter Based on Nuclei‐Targeting Lipid Nanoparticles Drives Neuronal Programming of Stem Cells for Spinal Cord Repair

Advanced Functional Materials, EarlyView.
Schematic illustration of LNP‐MPG nuclei‐targeting delivery of HMW‐FGF2 promoting histone acetylation to regulate the fate of DPSCs and treat spinal cord injury. LNPs components include pHMW‐FGF2 plasmid, DSPC, Dlin‐MC3‐DMA, cholesterol, and PEG2000, and are modified with MPG to form HMW‐FGF2@LNP‐MPG (HLM). HLM nuclei‐targets DPSCs to deliver HMW‐FGF2,
Heng Zhou, Qiang Qin, Xiqin Li, Hanyu Ding, Chun Xu, Yan He, Qingsong Ye   +6 more
wiley   +1 more source

An updated and comprehensive review of the morphology, ethnomedicinal uses, phytochemistry, and pharmacological activity of Aster tataricus L. f. [PDF]

Heliyon
Fan XL, Qin ZP, Wen JH, Wang ZZ, Xiao W.
europepmc   +1 more source

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source