Results 141 to 150 of about 2,858,223 (342)
Artificial Receptor in Synthetic Cells Performs Transmembrane Activation of Proteolysis
Transmembrane signaling is the hallmark of living cells and is among the highest challenges for the design of synthetic cells. Herein, an artificial receptor based on the chemistry of self‐immolative linkers is used to communicate information across the lipid bilayer, for transmembrane activation of enzymatic activity. Abstract The design of artificial,
Ane Bretschneider Søgaard+7 more
wiley +1 more source
The paper explores the creation and characterization of vesicles through biocatalytic Polymerization‐Induced Self‐Assembly (bioPISA), focusing on achieving size uniformity using centrifugation techniques. It examines the effects of stirring speed on vesicle morphology and analyses the internal polymer‐rich structure using fluorescence correlation ...
Andrea Belluati+7 more
wiley +1 more source
Light‐Triggered Protease‐Mediated Release of Actin‐Bound Cargo from Synthetic Cells
TEV Prtoease‐mediated Releasable Actin‐binding Protein (TRAP) is a protein‐based platform consisting of a cargo tightly bound to reconstituted actin networks in synthetic cells which can be proteolyticly released from the bound actin, followed by its secretion through membrane translocation mediated by a cell‐penetrating peptide.
Mousumi Akter+3 more
wiley +1 more source
Russian Arctic or the Arctic zone
Analysis of data collection results on the topic “Russian Arctic or the Arctic zone”.
openaire +3 more sources
Coacervation driven by liquid‐liquid phase separation (LLPS) of biopolymers has garnered increasing attention in biology since this leads to the formation of membraneless organelles capable of performing essential yet largely unknown functions. This review highlights recent advances in coacervates (artificial condensates) composed of low‐molecular ...
Sayuri L. Higashi, Masato Ikeda
wiley +1 more source
SIFM: A Foundation Model for Multi-granularity Arctic Sea Ice Forecasting [PDF]
Arctic sea ice performs a vital role in global climate and has paramount impacts on both polar ecosystems and coastal communities. In the last few years, multiple deep learning based pan-Arctic sea ice concentration (SIC) forecasting methods have emerged and showcased superior performance over physics-based dynamical models.
arxiv
RhoA and Rac1 as Mechanotransduction Mediators in Colorectal Cancer
Analysing RhoA and Rac1 protein levels in Colorectal cancer (CRC) samples under mechanical strain highlights their potential as diagnostic markers. Monitoring their activity could offer valuable insights into how cancer spreads, paving the way for new approaches to better understand and diagnose colorectal cancer.
Sharda Yadav+5 more
wiley +1 more source
Synthetic cells (SCs) hold great promise for biomedical applications, but manual production limits scalability. This study presents an automated method for large‐scale SC synthesis, integrating robotic liquid handling and machine learning‐driven high‐throughput characterization.
Noga Sharf‐Pauker+7 more
wiley +1 more source