LewisLabUCSD

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

[Nathan Lewis @Nathan_E_Lewis]

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

https://t.co/ji3L9izQLP

[Nathan Lewis @Nathan_E_Lewis]

Our 14 protein knockout cell line work was highlighted in GenEng News: "Genome Editing Helps Cell Lines “Clean Up” Their Protein Production" @favprotchemist @Danielley86DK @GutierrezJahir @wtchiang2013 @DTUBiosustain
https://t.co/1RCeDEvY88

[Nathan Lewis @Nathan_E_Lewis]

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: https://t.co/LCUfVNxJha

[Oded Rechavi @OdedRechavi]

Standard bioinformatic pipeline https://t.co/N9xYHQrWo9

[Nathan Lewis @Nathan_E_Lewis]

@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 https://t.co/qpVUhaCoDL

[Nathan Lewis @Nathan_E_Lewis]

Making Goodsell illustrations https://t.co/DVGo0X8abJ

[LewisLabUCSD @LewisLabUCSD]

@Nathan_E_Lewis This is soooo cool!

[LewisLabUCSD @LewisLabUCSD]

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!

[LewisLabUCSD @LewisLabUCSD]

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: https://t.co/RnFN3Oprat

[LewisLabUCSD @LewisLabUCSD]

Enjoyed your talk and exciting results with the Beacon technology #BPSMT

[Bruker Cellular Analysis @brukercellular]

Join us for a Luncheon Presentation. We'll review case studies that show how the Beacon platform accelerates CLD timelines and improves yields. https://t.co/3Jw6HRklUh #BPSMT #CellLineDevelopment

[UCB US @UCBUSA]

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: https://t.co/AQFnHHgqK3

[LewisLabUCSD @LewisLabUCSD]

Enjoyed Jamey Young's CHO productivity and mitochondrial metabolism presented at the Bioprocessing Summit! #BPSMT @VUEngineering

[LewisLabUCSD @LewisLabUCSD]

Enjoyed you guys' booth at the Bioprocessing Summit! (#BPSMT)

[908 Devices @908Devices]

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: https://t.co/htvCB4ljUF

[LewisLabUCSD @LewisLabUCSD]

Hooman will be presenting on the "Complete Elimination of the Warburg Effect in CHO Cells", this Thursday at the Bioprocessing Summit (#BPSMT). Come join!

[Nathan Lewis @Nathan_E_Lewis]

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:
https://t.co/EfS2iMmRr7

[Nathan Lewis @Nathan_E_Lewis]

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:
https://t.co/2LrnjNIumM

[Nathan Lewis @Nathan_E_Lewis]

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

[Nathan Lewis @Nathan_E_Lewis]

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 https://t.co/lj3Lfjtkff

[eLife - the journal @eLife]

A computer model attempts to simulate the metabolic network of a minimal cell with 493 genes https://t.co/bfMV3y51H8