Publications by authors named "J Yazaki"
Article Synopsis
- Mapping protein interaction complexes is crucial for protein network analysis and has been technically challenging due to a lack of focus on interaction stoichiometry.
- The study introduces HaloTag-based affinity purification mass spectrometry (HaloMS), a high-throughput method that speeds up the discovery of protein interactions by quickly capturing newly expressed proteins.
- The researchers used HaloMS to investigate interactions among 17 regulatory proteins in human adipocytes, validating their findings with pull-down assays and AI tools, leading to the identification of new transcription factor-protein complexes and insights into adipocyte differentiation pathways.
Being overweight exacerbates various metabolic diseases, necessitating the identification of target molecules for obesity control. In the current study, we investigated common physiological features related to metabolism in mice with low weight gain: (1) G protein-coupled receptor, family C, group 5, member B-knockout; (2) gastric inhibitory polypeptide receptor-knockout; and (3) Iroquois-related homeobox 3-knockout. Moreover, we explored genes involved in metabolism by analyzing differentially expressed genes (DEGs) between low-weight gain mice and the respective wild-type control mice.
View Article and Find Full Text PDFIn Situ Protein Microarray for Identifying the Geminivirus-Arabidopsis Interactome.
Methods Mol Biol
November 2023
The protein-protein interactions (PPI) by protein array technology complement other PPI assay technologies such as AP-MS and Y2H. The in situ protein array technology (NAPPA) enables low-cost, rapid, and comprehensive protein detection. It allows standardized and simultaneous assay of a wide range of proteins with a broad range of expression in cells.
View Article and Find Full Text PDFArticle Synopsis
- - Atopic dermatitis (AD) is not just a local skin issue but a complex systemic disease, showing varying clinical presentations and molecular profiles based on patient data.
- - Researchers analyzed RNA-sequencing data from both skin and blood samples of 115 AD patients and 14 healthy controls to identify specific molecular features linked to different clinical manifestations, like erythema and papulation.
- - By using a regression model on longitudinal data from 30 AD patients, they discovered three distinct patient clusters relating to clinical severity and treatment history, emphasizing the need for a comprehensive approach in understanding and monitoring AD.
Article Synopsis
- * A multi-omics approach was used to analyze the relationship between gut bacteria, metabolites, and insulin resistance in humans, finding specific carbohydrates linked to insulin resistance.
- * The study identifies certain gut bacteria that may help improve insulin sensitivity, highlighting the potential for microbiome-based therapies for insulin resistance.