Publications by authors named "Yu-Mi Kwon"
Article Synopsis
- Type 1 diabetes (T1D) is an autoimmune disease, and mass spectrometry (MS) is being used to find new biomarkers and understand the disease's mechanisms better.
- The combination of MS and machine learning has led to the identification of multi-molecular biomarker panels and the discovery of relevant pathways and therapeutic targets.
- Despite progress, challenges like understanding tissue environments and the impact of external factors persist, but advancements in MS technologies, like ultra-fast separations and single-cell analysis, may help overcome these obstacles.
The mycobacterial SenX3-RegX3 two-component system consists of the SenX3 sensor histidine kinase and its cognate RegX3 response regulator. This system is a phosphorelay-based regulatory system involved in sensing environmental P levels and induction of genes required for P acquisition under P-limiting conditions. Here we demonstrate that overexpression of the kinase domain of PknB (PknB-KD) inhibits the transcriptional activity of RegX3 of both and (RegX3 and RegX3, respectively).
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