Hu Alums Gather in Boston
Fourteen alumni took advantage of Wei-Shou Hu’s visit to the Boston area in late October to reunite with the old group. There are sixteen former group members from the Hu lab now working in various biotech companies in the Boston area.
Professor Hu receives Food, Pharmaceutical, and Bioengineering Division Award
Prof. Hu was honored during the American Institute of Chemical Engineers (AIChE) Annual Meeting in Nashville, TN, which was held November 8-13, 2009. He received the Food, Pharmaceutical, and Bioengineering Division Award for his groundbreaking contributions in cell-culture engineering, genomics, liver-tissue engineering, and metabolic engineering.
Professor Hu and Professor Miranda Yap given appreciation at AIChE
Professors Hu and Yap were recognized at the AIChE Annual Meeting in Nashville for their services to the biological engineering community. In her presentation speech, SBE Executive Director Miriam Cortes-Caminero stated, “Their vision and realization of innovation within the biological engineering community is inspirational.”
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HuGroup student Huong Le speaks on her research of gene expression at the AIChE Annual Meeting in Nashville
HuGroup student Siguang Sui explores the interplay between metabolic regulation and ethanol tolerance in Clostridium thermocellum at the AIChE Annual Meeting in Nashville
HuGroup student Kathryn Johnson presents her work on Chinese Hamster Ovary cells at the AIChE Annual Meeting in Nashville
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Data Mining in Biomanufacturing
Modern manufacturing plants, with their every process and control step electronically controlled or monitored, generate not only the bioproducts but also tremendous amount of data. Mining this data can potentially provide much insight to the hidden information and enhance process robustness. Such work requires cross disciplinary team work. This review, coauthored by bioengineers and computer engineer, lays out the characteristics of bioprocess data and outlines the methods that can be used to mine the data. (Charaniya, S., et al. 2009. Biotechnol. Bioeng. submitted)
Uncovering Genes with Divergent mRNA-Protein Dynamics in Streptomyces coelicolor
This collaboration employed proteomic and transcriptomic technologies to compare the dynamics of mRNA and protein at a global level in Streptomyces coelicolor, an important model organism for cellular differentiation and antibiotic biosynthesis. Through rapid growth and stationary phase the change of mRNA and protein for most genes follow the same trend. Using principal component analysis to examine the time series data of both proteome and transcriptome, it was revealed that the trends for mRNA and protein differ for about 15% of genes. It was one of the rare comparisons of transcritome and proteome dynamics at a global scale.
Genome-wide transcriptome analysis reveals that a pleiotropic antibiotic regulator, AfsS, modulates nutritional stress response in Streptomyces coelicolor A3(2)
Knock-out of a two component system gene in Streptomyces coelicolor results in drastically reduced production of Red antibiotic. The effect of knock-out on transcriptome dynamics was examined using a DNA microarray. PCA was used to identify genes which may play key roles in altering the antibiotic production characteristics.
Books on Cell Culture Engineering
Dr. Hu has recently collaborated on two books, Cell Culture Engineering and Cell Culture Technology for Pharmaceutical and Cellular Therapies, which were published in 2006.
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A Bistable Gene Switch for Antibiotic Biosynthesis: The Butyrolactone Regulon in Streptomyces coelicolor
S. Coelicolor produces a signaling molecule that is used to synchronize the synthesis of antibiotics among neighbors in the environ in an ON-OFF manner, like a switch. This article asserts that the switch behavior is accomplished by the bistability behavior, a cherished subject in classical chemical reaction engineering.
Tweaking biological switches through a better understanding of bistability
Chatterjee articulated the bistability phenomena as a switch in biological pathways, differentiaion and development. Literature examples, both experimental observation and model analysis were discussed.
Mining Transcriptome Data for Function-Trait Relationship of Hyper Productivity of Recombinant Antibody
Comparative Transcriptome Analysis to Unveil Genes Affecting Recombinant Protein Productivity in Mammalian Cells
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The People
Meet the faculty, staff and students who form the Hu Group.
Former Group Members
The Hu Group is proud of its former students, scholars and staff who set the standard of excellence we continue to strive for.
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Life in the Hu Lab
The Hu Group returns from its annual weekend retreat and workshop to Itasca State Park where they also enjoyed Minnesota's winter outdoor activities.
Hu Group on Facebook!
The Hu Group is now on Facebook! Find all the photos, updates and discussions in the group. Search Hu Group UMN and request to become a member! |
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