Results 181 to 190 of about 10,995,303 (306)

Atom‐Efficient Cerium‐Based Molecular Cages as Biocompatible Reactive Oxygen Scavengers

Advanced Healthcare Materials, EarlyView.
Discrete mixed‐valent cerium molecular cages organize accessible redox centers within confined coordination environments and scavenge superoxide, hydrogen peroxide, and hydroxyl radicals. Encapsulation of the lead cage in an ROS‐responsive DTP nanoplatform enables lesion‐associated delivery, attenuates macrophage oxidative stress and inflammation, and ...
Chao Li, Chunbai Xiang, Ye Xu, Yu Liu, Keze Hong, Fanchu Zeng, Gelin Xu, Zhao‐Xi Wang, Jonathan L. Sessler, Ping Gong   +9 more
wiley   +1 more source

MoRNiNG: A Database of RNA Modification Sites Associated with RNA Secondary Structure Dynamics. [PDF]

Genomics Proteomics Bioinformatics
Zhou 周奕岑 Y, Lyu 吕善鑫 S, Liew 刘晓薇 SW, Mou 牟希 X, Hoffecker I, Yan 严健 J, Li 李煜 Y, Kwok 郭骏杰 CK, Zhang 张继林 J.   +8 more
europepmc   +1 more source

Hybrid Biofabrication of a Hierarchically Organized Periosteum‐Inspired In Vitro Platform

Advanced Healthcare Materials, EarlyView.
A hybrid biofabrication strategy integrates melt electrowriting with extrusion‐based 3D bioprinting to create a hierarchically organized periosteum‐inspired in vitro platform. Spatially defined osteogenic, fibrous, and endothelial cell‐containing compartments support long‐term culture, osteogenic maturation, and CD31+ endothelial cell organization ...
Yakui Liu, Xinggui Tian, Anne Bernhardt, Anja Lode, Max von Witzleben, Ege Kirbas, Stefan Zwingenberger, Michael Gelinsky   +7 more
wiley   +1 more source

Machine learning for RNA secondary structure prediction: a review of current methods and challenges. [PDF]

RNA
Sacco G, Bussi G, Sanguinetti G.
europepmc   +1 more source

Modeling Early Metastatic Progression in Breast Cancer Using a Barrier‐Free, Perfusable Spheroid‐on‐a‐Chip Platform

Advanced Healthcare Materials, EarlyView.
Open‐port, barrier‐free microfluidic device for modeling early metastatic progression. A centrally positioned tumor spheroid releases invasive cells that migrate through the surrounding matrix and intravasate into endothelialized lateral channels.
Vira Sharko, Claudia Olaizola‐Rodrigo, Clara Bayona, Teodora Ranđelović, Rosa Monge, Estela Solanas, Sara Oliván, Ignacio Ochoa   +7 more
wiley   +1 more source

Deep generalizable prediction of RNA secondary structure via base pair motif energy. [PDF]

Nat Commun
Zhu H, Tang F, Quan Q, Chen K, Xiong P, Zhou SK.   +5 more
europepmc   +2 more sources

Bioprinted Stiffness‑Tunable Pancreatic Microniches to Decode Early Tumor Initiation Mechanisms

Advanced Healthcare Materials, EarlyView.
Stiffness‐tunable GelMA microniches generated by microvalve bioprinting preserve wild‐type acinar identity while revealing a nonlinear, Kras‐dependent response to matrix mechanics. Intermediate stiffness promotes acinar‐to‐ductal metaplasia and proliferation, defining a permissive mechanical window.
Aurelien Mazet, Charles Handschin, Theo Desigaux, Nathalie Dusserre, Marie‐Laure Stachowicz, Shane Fennell, Malou Lea, Silvia Arcucci, Benoît Thibault, Jean‐Christophe Fricain, Julie Guillermet‐Guibert, Hugo Oliveira   +11 more
wiley   +1 more source

Deep learning for RNA secondary structure determination: gauging generalizability and broadening the scope of traditional methods. [PDF]

RNA
Szikszai M, Wang TY, Krueger R, Mathews DH, Ward M, Aviran S.   +5 more
europepmc   +1 more source

Microgels Enable iPSCs to Assemble, Expand, and Differentiate Into Organoids—From Sizable to High‐Throughput

Advanced Materials, EarlyView.
A chemically defined PEG‐based microgel platform enables scalable, reproducible production of three‐dimensional microgel‐iPSC constructs in multiple sizes. The system is compatible with high‐throughput automation and supports human iPSC expansion and differentiation within a single construct, including directed differentiation into cardiac organoids ...
Laura Klasen, Matthias Mork, Ramin Nasehi, Vasudha Turuvekere Krishnamurthy, Kira Zeevaert, Aaron Babendreyer, Jacopo Di Russo, Wolfgang Wagner, Laura De Laporte   +8 more
wiley   +1 more source

Predicting RNA secondary structure by a neural network: what features may be learned? [PDF]

PeerJ, 2022
Grigorashvili EI, Chervontseva ZS, Gelfand MS.   +2 more
europepmc   +1 more source