ETV2/ER71 regulates hematovascular lineage generation and vascularization through an H3K9 demethylase, KDM4A.

ETV2/ER71, an ETS (E-twenty six) transcription factor, is critical for hematopoiesis and vascular development. However, research about the molecular mechanisms behind ETV2-mediated gene transcription is limited. Herein, we demonstrate that ETV2 and KDM4A, an H3K9 demethylase, regulate hematopoietic and endothelial genes.

Post-synthesis surface modification of Cu/Zr metal azolate framework: A pathway to highly sensitive electrochemical biosensors for atrazine detection.

Background: Atrazine (ATZ), a pesticide that poses serious health problems, is observed in the environment, thereby prompting its periodic monitoring and control using functional biosensors. However, established methods for ATZ detection have limited applicability. Two-dimensional (2D) metal azolate frameworks (MAF) have a higher surface area per unit volume and provide easier access to active sites.

Probing mechanical selection in diverse eukaryotic genomes through accurate prediction of 3D DNA mechanics.

Connections between the mechanical properties of DNA and biological functions have been speculative due to the lack of methods to measure or predict DNA mechanics at scale. Recently, a proxy for DNA mechanics, cyclizability, was measured by loop-seq and enabled genome-scale investigation of DNA mechanics. Here, we use this dataset to build a computational model predicting bias-corrected intrinsic cyclizability, with near-perfect accuracy, solely based on DNA sequence.

Contact-Engineered Oxide Memtransistors for Homeostasis-Based High-Linearity and Precision Neuromorphic Computing.

Homeostasis is essential in biological neural networks, optimizing information processing and experience-dependent learning by maintaining the balance of neuronal activity. However, conventional two-terminal memristors have limitations in implementing homeostatic functions due to the absence of global regulation ability. Here, three-terminal oxide memtransistor-based homeostatic synapses are demonstrated to perform highly linear synaptic weight update and enhanced accuracy in neuromorphic computing.