Smad1/5 is acetylated in the dorsal aortae of the mouse embryo driving early arterial gene expression

Academic Background During embryonic development, arteriovenous differentiation (AV differentiation) is a critical step in ensuring proper blood vessel formation and maturation. Defects in arterial or venous identity can lead to inappropriate fusion of vessels, resulting in so-called arteriovenous malformations (AVMs). Currently, the mechanism behi...

Circulating Dimethylguanidino Valeric Acid, Dietary Factors, and Risk of Coronary Heart Disease

Background Coronary Heart Disease (CHD) is one of the leading causes of death globally, with a complex pathogenesis involving multiple metabolic and dietary factors. In recent years, the development of metabolomics has provided new perspectives for studying CHD, particularly through the analysis of blood metabolites to uncover potential disease ris...

RNA Binding Protein with Multiple Splicing (RBPMS) Promotes Contractile Phenotype Splicing in Human Embryonic Stem Cell-Derived Vascular Smooth Muscle Cells

The Critical Role of RNA-Binding Protein RBPMS in Vascular Smooth Muscle Cells Academic Background Vascular Smooth Muscle Cells (VSMCs) are the primary structural components of large arteries. In healthy blood vessels, VSMCs exhibit a mature contractile phenotype, responsible for regulating vascular tone and blood flow. However, VSMCs possess pheno...

Significance in Scale Space for Hi-C Data Analysis

In the field of genomics, understanding the spatial organization of the genome is crucial for uncovering gene regulatory mechanisms. Hi-C technology, as a genome-wide chromosome conformation capture technique, can reveal the three-dimensional structure of the genome, particularly the key role of chromatin loops in gene regulation. However, existing...

Multi-Modal Interpretable Representation for Non-Coding RNA Classification and Class Annotation

Non-coding RNAs (ncRNAs) play critical roles in cellular processes and disease development. Although genome sequencing projects have revealed a vast number of non-coding genes, the functional classification of ncRNAs remains a complex and challenging issue. The diversity, complexity, and functionality of ncRNAs make them important subjects in biome...

Privacy-Preserving Framework for Genomic Computations via Multi-Key Homomorphic Encryption

Privacy-Preserving Framework for Genomic Analysis: A Study Based on Multi-Key Homomorphic Encryption Academic Background With the reduction in the cost of genome sequencing, the widespread availability of genomic data has opened up new possibilities for personalized medicine (also known as genomic medicine). However, genomic data contains a vast am...

EPICPred: Predicting Phenotypes Driven by Epitope-Binding TCRs Using Attention-Based Multiple Instance Learning

T-cell receptors (TCRs) play a crucial role in the adaptive immune system by recognizing pathogens through binding to specific antigen epitopes. Understanding the interactions between TCRs and epitopes is essential for uncovering the biological mechanisms of immune responses and developing T cell-mediated immunotherapies. However, although the impo...

DeepES: Deep Learning-Based Enzyme Screening for Identifying Orphan Enzyme Genes

Academic Background With the rapid advancement of sequencing technology, scientists have been able to obtain a vast amount of protein sequence data, including many enzyme sequences. However, despite the establishment of large enzyme databases such as the Kyoto Encyclopedia of Genes and Genomes (KEGG) and BRENDA, sequence information for many enzyme...

MostPlas: A Self-Correction Multi-Label Learning Model for Plasmid Host Range Prediction

Plasmids are small, circular, double-stranded DNA molecules that exist independently of chromosomal DNA in bacteria. They facilitate horizontal gene transfer, enabling host bacteria to acquire beneficial traits such as antibiotic resistance and metal resistance. Some plasmids can transfer, replicate, or persist in multiple microorganisms, and these...

Sequence Analysis: DNA Sequence Alignment Using Transformer Models

Academic Background DNA sequence alignment is a core task in genomics, aiming to map short DNA fragments (reads) to the most probable locations on a reference genome. Traditional methods typically involve two steps: first, indexing the genome, followed by efficient searching to locate potential positions for the reads. However, with the exponential...