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Mohamed Al-Rubeai

Researcher at University College Dublin

Publications -  219
Citations -  12447

Mohamed Al-Rubeai is an academic researcher from University College Dublin. The author has contributed to research in topics: Cell culture & Apoptosis. The author has an hindex of 48, co-authored 219 publications receiving 11651 citations. Previous affiliations of Mohamed Al-Rubeai include University of Birmingham & Cihan University.

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Apoptosis and its control in cell culture systems.

TL;DR: This review focuses on the induction of apoptosis during industrial cell cultures as well as the effects of the apoptosis suppresser gene bcl-2 on cell survival in conditions relevant to bioreaction environments.
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Cell cycle, cell size and mitochondrial activity of hybridoma cells during batch cultivation.

TL;DR: The results demonstrated that the level of activity of cells in the innoculum culture could have a significant effect on cellular activity during the initial phase of the inoculated culture, as it advances through its growth cycle.
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Improved titers of retroviral vectors from the human FLYRD18 packaging cell line in serum- and protein-free medium.

TL;DR: Results suggest that protease inhibitors present in serum may be responsible for the inhibition of virus production, although the exact mechanism remains, however, to be determined.
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Effect of Bcl-2 overexpression on cell cycle and antibody productivity in chemostat cultures of myeloma NS0 cells.

TL;DR: A good correlation between specific antibody production rate and the percentage of G2/M cells was observed and the dilution rate was reduced for both NS0 cell lines.
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Nanoscale infrared absorption imaging permits non-destructive intracellular photosensitizer localization for subcellular uptake analysis

TL;DR: It is illustrated that IR absorption nanoimaging combined with IR point source data does not only yield intracellular drug detection on the order of nanometres, but also permits extension of the AFM-IR technique from subcellular analysis up to studies of cell numbers that are statistically significant.