Results 211 to 220 of about 176,411 (317)
Detecting ribosome collisions with differential rRNA fragment analysis in ribosome profiling data. [PDF]
Kyei-Baffour ES+4 more
europepmc +1 more source
The orientation of the Ribonucleic Acid within Yeast Ribosomes Determined Electro-Optically
Richard S. Morgan
openalex +1 more source
A mitochondria‐targeted AIE photosensitizer, LIQ‐TPA‐TZ, was developed to fight against Candida infection. It can efficiently produce reactive oxygen species to kill Candida guilliermondii and eradicate biofilms. It not only disrupted the respiratory chain and affected the metabolism and energy supply but also reduced the fungi adhesion and filament ...
Kun‐Mei Liu+5 more
wiley +1 more source
Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction. [PDF]
Chen J+6 more
europepmc +1 more source
Ribosomes in Dormant and Germinating Conidia of Aspergillus oryzae
Koki Horikoshi+2 more
openalex +2 more sources
A Chemogenetic Toolkit for Inducible, Cell Type‐Specific Actin Disassembly
ChiActs are novel actin‐perturbing genetic tools that can be rapidly activated by chemical actuators and optogenetically targeted to distinct subcellular locations using light. ChiActs rapidly induce actin disassembly in several model cell types and are able to perturb actin‐dependent nano‐assembly and cellular functions, including inhibition of ...
Tien‐Hung Lan+5 more
wiley +1 more source
Expanded ribosomal synthesis of non-standard cyclic backbones in vitro. [PDF]
Lee K+5 more
europepmc +1 more source
Schematic illustration of the current study. A) Multiple cell culture media are used for HUVEC cultures under both static and flow conditions. Cells are analyzed for morphology, endothelial markers, and gene expression. B) EVs are isolated from static and flow HUVEC cultures, and investigated for particle characterization, transcriptome and proteome ...
Arefeh Kardani+13 more
wiley +1 more source
Long non‐coding RNAs (lncRNAs) are receiving increasing attention as biomarkers for cancer diagnosis and therapy, highlighting the urgent need for computational methods to accelerate their comprehensive discovery. Here, to better predict and provide functional insight into cancer lncRNAs, a novel interpretable machine‐learning method (POCALI) is ...
Ziyan Rao+5 more
wiley +1 more source