Spatial Multiomic Landscape of the Human Placenta at Molecular Resolution

A New Chapter in the Molecular Understanding of the Human Placenta: Breakthroughs in Spatial Multiomics Background and Research Questions The placenta is the first fetal organ to develop during human pregnancy and plays a critical role in ensuring successful gestation and healthy fetal development. Despite its importance, our understanding of the m...

Repurposing Large-Format Microarrays for Scalable Spatial Transcriptomics

A New Method for Scalable Spatial Transcriptomics via Large-Format Microarrays: The Birth of Array-Seq Technology Background and Research Motivation In recent years, spatiomolecular analyses have become pivotal tools in biomedical research and clinical pathology due to their ability to study how the spatial organization of cells and molecules withi...

Efficient and Highly Amplified Imaging of Nucleic Acid Targets in Cellular and Histopathological Samples with PSABER

A New Platform for Efficient Signal Amplification of Nucleic Acid Targets in Tissue and Clinical Research: PSABER Background and Related Knowledge Since its first introduction by Pardue and Gall in the 1960s, in situ hybridization (ISH) has been widely adopted in research and clinical applications for its ability to spatially map nucleic acid targe...

Single-Molecule Dynamic Structural Biology with Vertically Arranged DNA on a Fluorescence Microscope

Single-Molecule Dynamic Structural Biology: Breakthrough in Observing DNA-Protein Interactions Using Graphene Background Introduction The intricate and precise interactions between DNA and proteins play a crucial role in fundamental biological functions such as DNA replication, transcription, and repair. However, observing these interaction process...

EvoAI Enables Extreme Compression and Reconstruction of the Protein Sequence Space

Extreme Compression and Reconstruction of Protein Sequence Space: A Breakthrough Study on EvoAI Background Protein design and optimization have become central challenges in fields like biotechnology, medicine, and synthetic biology. The functions of proteins are determined by their sequences and structures, but this functional sequence space is hig...

Evaluation of Large Language Models for Discovery of Gene Set Function

Exploration of Gene Set Function Discovery Using Large Language Models: GPT-4 Excels Academic Background In functional genomics, gene set enrichment analysis is a critical methodology for understanding gene functions and their associated biological processes. However, existing enrichment analyses rely heavily on curated gene function databases, suc...

Overcoming the Preferred-Orientation Problem in Cryo-EM with Self-Supervised Deep Learning

Overcoming the Preferred-Orientation Problem in Single-Particle Cryo-EM: An Innovative Solution through Deep Learning Background Introduction In recent years, single-particle cryogenic electron microscopy (Single-Particle Cryo-EM) has become a core technique in structural biology due to its ability to resolve the atomic-resolution structures of bio...

Direct Observation of Small Molecule Activator Binding to Single PR65 Protein

Single-Molecule Optical Tweezer Technique Reveals the Binding Mechanism of a Small Molecule Activator and PR65 Protein Academic Background Protein phosphatase 2A (PP2A) is a crucial enzyme in regulating cellular signaling. Its dysfunction is closely associated with various cancers and chronic diseases, such as Alzheimer’s disease and chronic obstru...

The Development and Application of an Engineered Direct Electron Transfer Enzyme for Continuous Levodopa Monitoring

Development of an Engineered Direct Electron Transfer Enzyme for Continuous Levodopa Monitoring Background Parkinson’s Disease (PD) is a chronic neurodegenerative disease that affects millions of people worldwide. It is characterized by the loss of dopaminergic neurons in the substantia nigra and the presence of α-synuclein aggregations forming Lew...

Advancements of Paper-Based Sensors for Antibiotic-Resistant Bacterial Species Identification

Advances in Paper-Based Sensors for the Detection of Antibiotic-Resistant Bacteria Background Antimicrobial resistance (AMR) is one of the most significant global public health challenges today. With the extensive use and misuse of antibiotics, more and more bacteria have developed resistance, rendering traditional treatments ineffective. According...