首页|Deciphering the transcriptional regulatory network of Yarrowia lipolytica using machine learning
Deciphering the transcriptional regulatory network of Yarrowia lipolytica using machine learning
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – According to news reporting based on a preprint a bstract, our journalists obtained the followingquote sourced from biorxiv.org:“The transcriptional regulatory network (TRN) in Yarrowia lipolytica coordinates its cellular processes,including the response to various stimuli. The TRN has been difficult to study due to its complex nature. “In industrial-size fermenters, environments are often not homogenous, resulting in Yarrowia experiencingfluctuating conditions during a fermentation. Compared with homogenous laboratory conditions, thesefluctuations result in altered cel lular states and behaviours due to the action of the TRN. Here, a machinelearni ng approach was deployed to modularize the transcriptome to enable meaningful de scription ofits changing composition. To provide a sufficiently broad dataset, a wide range of relevant fermentationconditions (nutrient limitations, growth r ates, pH values, oxygen availability and CO2 stresses) were runand samples obta ined for RNA-Seq generation. We thus significantly increased the number of publi clyavailable transcriptomic dataset on Y. lipolytica W29.
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