Systems Biology and Cell Engineering Lab at University of California, San diego

Joined August 2017
7 Photos and videos
LewisLabUCSD retweeted
What you eat, given your microbiome, can affect your response to drugs without altering the drug (at least if you're a worm). Great collaboration with the O'Rourke lab nature.com/articles/s41467-0…

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LewisLabUCSD retweeted
Latest work from @Anne_R1chL. We developed a tool that used systems biology models to precompute the genes needed for a cell to accomplish a metabolic task, and now you can overlay your omics data to see what your cell is doing using @GenePattern. bioRxiv: doi.org/10.1101/2020.04.26.0…

Do you want to know what does your cell really do? Then check this out => CellFie : a new framework to elucidate a cell’s metabolic functions directly from omics data. biorxiv.org/content/10.1101/…
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LewisLabUCSD retweeted
Standard bioinformatic pipeline x.com/AMAZlNGSCIENCE/status/…

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LewisLabUCSD retweeted
Replying to @GutierrezJahir
@GutierrezJahir and @amir_feizi mapped out the mammalian secretory pathway, connected it to a genome-scale metabolic model, and showed we could predict an increase in antibody secretion with a gene knockdown. @NIGMS @DTUBiosustain nature.com/articles/s41467-0…
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LewisLabUCSD retweeted
Making Goodsell illustrations sciencedirect.com/science/ar…

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Will Johnson from @Amgen presenting on multivariate, multi-scale, modular modeling of bioprocessing at #BPSMT. From bioreactor fluid dynamics to cellular metabolism to subcellular organs. Cool stuff!
Mortiz von stosch from #Glaxo on ML applications in bioprocessing: ready-now (concise problem with lots of data) versus ready-later (hybrid models with broad implications). #ArtificialIntelligence #BPSMT See also: aiche.org/chenected/2014/02/…

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Enjoyed your talk and exciting results with the Beacon technology #BPSMT
Join us for a Luncheon Presentation. We'll review case studies that show how the Beacon platform accelerates CLD timelines and improves yields. ow.ly/Hkay50vwmYY #BPSMT #CellLineDevelopment
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LewisLabUCSD retweeted
13 Aug 2019
UCB researcher Dr. Rana Sidhu spoke today at the @CHI_Healthtech #BPSMT event about the new strategies our scientists are using to better understand proteins that are challenging to study: ucbusa.news/2YXoOPP
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Enjoyed Jamey Young's CHO productivity and mitochondrial metabolism presented at the Bioprocessing Summit! #BPSMT @VUEngineering
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Enjoyed you guys' booth at the Bioprocessing Summit! (#BPSMT)
Big news at Bioprocessing Summit! We are introducing a new product that is sure to change the way you look at cell culture analysis. Join us at booth 201 and our after-party on Tuesday night. More info here: bit.ly/2Kt78lQ
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Hooman will be presenting on the "Complete Elimination of the Warburg Effect in CHO Cells", this Thursday at the Bioprocessing Summit (#BPSMT). Come join!
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LewisLabUCSD retweeted
Just came out today... by targeting two transcription factors concurrently, we engineered innate immunity in mammalian cells to make them resistant to multiple RNA viruses: rdcu.be/bHkX5
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LewisLabUCSD retweeted
We engineered cleaner drug producing mammalian cells by knocking out more than a dozen genes, leading to better growing cells, enhanced recombinant protein production, and more pure antibody production. Check out our preprint: biorxiv.org/content/10.1101/…
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LewisLabUCSD retweeted
Congrats to Julie la Cour Karottki @kjlack, our adopted lab member, for an excellent PhD thesis defense on the use of #CRISPR a/i and pooled screens in CHO cells! @DTUBiosustain
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LewisLabUCSD retweeted
A new, experimentally defined annotation of the Chinese hamster genome, plus the identification of endogenous retroviral elements that have added a significant cost to biopharmaceuticals for decades pubs.acs.org/doi/10.1021/acs…
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LewisLabUCSD retweeted
A computer model attempts to simulate the metabolic network of a minimal cell with 493 genes elifesciences.org/digests/36…

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LewisLabUCSD retweeted
New with @Anne_R1chL , we developed a framework for inferring the specific metabolic functions of a tissue or cell line to aid in building large metabolic networks of the tissue or cell line of interest doi.org/10.1371/journal.pcbi… @PLOSCompBiol
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