Publications by authors named "J Villen"
Human-use medicines are introduced into surface water throughout their entire life cycle, from manufacturing and consumption to improper disposal, resulting in negative effects on aquatic flora and fauna. Sustainability approaches have addressed this issue, proposing frameworks like the One Health approach. A revised definition of the rational use of medicines has also been proposed, taking into account their environmental sustainability.
View Article and Find Full Text PDFThe plant corepressor TPL is recruited to diverse chromatin contexts, yet its mechanism of repression remains unclear. Previously, we leveraged the fact that TPL retains its function in a synthetic transcriptional circuit in the yeast model Saccharomyces cerevisiae to localize repressive function to two distinct domains. Here, we employed two unbiased whole-genome approaches to map the physical and genetic interactions of TPL at a repressed locus.
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- Human genetics has evolved significantly over the last 30 years, shifting focus from rare Mendelian diseases to the intricate genetic factors influencing common diseases.
- Researchers highlight the critical role of genetic context—including variants, gene regulation, and environmental interactions—in understanding how these genetic variants impact health.
- The article calls for unified methods to analyze the complex interplay of molecular and environmental factors, proposing that combining cellular, animal, and epidemiological data can enhance our interpretation of genetic variants and improve disease treatment strategies.
Article Synopsis
- Data-independent acquisition (DIA) mass spectrometry is gaining popularity in quantitative proteomics due to its effectiveness in data analysis.
- Creating reliable spectral libraries for DIA is challenging, as most current libraries come from data-dependent acquisition (DDA) data or predictions based on DDA.
- The study introduces Carafe, a tool that generates specific spectral libraries by using deep learning directly on DIA data, showing better performance in predicting ion intensity and detecting peptides compared to existing DDA models.
Calcium ions play important roles in nearly every biological process, yet whole-proteome analysis of calcium effectors has been hindered by a lack of high-throughput, unbiased, and quantitative methods to identify protein-calcium engagement. To address this, we adapted protein thermostability assays in budding yeast, human cells, and mouse mitochondria. Based on calcium-dependent thermostability, we identified 2,884 putative calcium-regulated proteins across human, mouse, and yeast proteomes.
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