13 research outputs found
Development of a Novel Adaptive Soft-Sensor Using Variational Bayesian PLS with Accounting for Online Identification of Key Variables
Soft-sensor is the most common strategy
to estimate the hard-to-measure
variables in the chemical processes. Recent research has shown that
accurate prediction of hard-to-measure variables can significantly
improve system performance. However, deterioration of predictive ability
resulting from dramatic changes in the operation conditions always
renders a generic soft-sensor inadequate. This study developed an
adaptive soft-sensor with Moving Window and Time Differencing technique
accounting for both of long-term and short-term information for modeling.
At each step of model update, the most insensitive variables were
removed by VIP (Variable importance in projection). With further integrating
Variational Bayesian PLS (VBPLS) as predictive model, not just prediction
values are obtained but also the credibility of information for hard-to-measure
quantities can be generated. The proposed methodology was first demonstrated
by applying the design algorithm to a WWTP simulated with the well-established
model, BSM1, then extended to a real WWTP with data collecting from
the field. Results showed that the proposed strategy significantly
improved the prediction performance
MOESM1 of Improved methanol-derived lovastatin production through enhancement of the biosynthetic pathway and intracellular lovastatin efflux in methylotrophic yeast
Additional file 1. Additional figures and tables
Kinase Screening in <i>Pichia pastoris</i> Identified Promising Targets Involved in Cell Growth and <i>Alcohol Oxidase 1</i> Promoter (P<i><sub>AOX1</sub></i>) Regulation
<div><p>As one of the most commonly used eukaryotic recombinant protein expression systems, <i>P</i>. <i>pastoris</i> relies heavily on the <i>AOX1</i> promoter (P<sub><i>AOX1</i></sub>), which is strongly induced by methanol but strictly repressed by glycerol and glucose. However, the complicated signaling pathways involved in P<sub><i>AOX1</i></sub> regulation when supplemented with different carbon sources are poorly understood. Here we constructed a kinase deletion library in <i>P</i>. <i>pastoris</i> and identified 27 mutants which showed peculiar phenotypes in cell growth or P<sub><i>AOX1</i></sub> regulation. We analyzed both annotations and possible functions of these 27 targets, and then focused on the MAP kinase Hog1. In order to locate its potential downstream components, we performed the phosphoproteome analysis on glycerol cultured WT and Δ<i>hog1</i> strains and identified 157 differentially phosphorylated proteins. Our results identified important kinases involved in <i>P</i>. <i>pastoris</i> cell growth and P<sub><i>AOX1</i></sub> regulation, which could serve as valuable targets for further mechanistic studies.</p></div
Kinase Screening in <i>Pichia pastoris</i> Identified Promising Targets Involved in Cell Growth and <i>Alcohol Oxidase 1</i> Promoter (P<i><sub>AOX1</sub></i>) Regulation - Fig 2
<p>GFP reporter assay showing the AOX1 promoter activity of several kinase mutants in methanol (A) or glycerol (B). A WT strain is used as control here.</p
A cluster of orthologous groups of proteins analysis of the phosphoproteins in H-G, W-G and W-M.
<p>H-G: glycerol cultured Δ<i>hog1</i> strain; W-G: glycerol cultured WT strain; W-M: methanol cultured WT strain.</p
Summary of kinase genes specifically involved in methanol supported cell growth.
<p>Summary of kinase genes specifically involved in methanol supported cell growth.</p
The growth rates (shown by spotting assay) and Aox activities (shown by colorimetrical assay) of the 27 knockouts.
<p>D: glucose; G: glycerol; M: methanol.</p
The counts of phosphopeptides carrying single, double and triple phosphate groups in H-G, W-G and W-M.
<p>H-G: glycerol cultured Δ<i>hog1</i> strain; W-G: glycerol cultured WT strain; W-M: methanol cultured WT strain.</p
The characteristics of the identified phosphoproteins.
<p>The characteristics of the identified phosphoproteins.</p
A gene ontology analysis of the phosphoproteins in H-G, W-G and W-M.
<p>H-G: glycerol cultured Δ<i>hog1</i> strain; W-G: glycerol cultured WT strain; W-M: methanol cultured WT strain.</p