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Tapani Viitala

Researcher at University of Helsinki

Publications -  114
Citations -  4197

Tapani Viitala is an academic researcher from University of Helsinki. The author has contributed to research in topics: Surface plasmon resonance & Liposome. The author has an hindex of 32, co-authored 106 publications receiving 3360 citations. Previous affiliations of Tapani Viitala include Jagiellonian University & Russian Academy of Sciences.

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Microvesicle- and exosome-mediated drug delivery enhances the cytotoxicity of Paclitaxel in autologous prostate cancer cells.

TL;DR: Cancer cell-derived EVs can be used as effective carriers of Paclitaxel to their parental cells, bringing the drug into the cells through an endocytic pathway and increasing its cytotoxicity.
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Single exosome study reveals subpopulations distributed among cell lines with variability related to membrane content

TL;DR: The first to indicate that exosome subpopulations are shared among cell types, suggesting distributed exosomes functionality is indicated, and the major sources of spectral variation were in cholesterol content, relative expression of phospholipids to cholesterol, and surface protein expression.
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Inkjet printing of drug substances and use of porous substrates-towards individualized dosing.

TL;DR: The concept of conventional inkjet printing technology to produce printable pharmaceutical dosage forms on porous substrates is reported, and the method enables controlling not only the deposition but also the crystallization of the drug substances.
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Amphiphilic Gold Nanoparticles Grafted with Poly(N-isopropylacrylamide) and Polystyrene

TL;DR: Two types of amphiphilic gold nanoparticles (AuNP-1 and -2) grafted with a mixture of poly(N-isopropylacrylamide) (PNIPAM) and polystyrene (PS) chains in two different compositions have been successfully prepared with the “grafting-to-method in a homogeneous THF phase as discussed by the authors.
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Rational design of liposomal drug delivery systems, a review: Combined experimental and computational studies of lipid membranes, liposomes and their PEGylation.

TL;DR: Computational modeling is able to provide mechanistic insight that explains the context of experimental results and can also take the lead and inspire new directions for experimental research into LDS development, to provide a roadmap for the rational design of LDS based therapies.