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Št. zadetkov: 4
Human mesenchymal stem cells and their use in cell-based therapies
Helena Motaln, Christian Schichor, Tamara Lah Turnšek
Pregledni znanstveni članek
Oznake: cancer treatment;cell-based therapy;human mesenchymal stem cells;transformed mesenchymal stem cells;spontaneous transformation;
Human mesenchymal stem cells and their use in cell-based therapies
Leto: 2010 Vir: Digitalni repozitorij raziskovalnih organizacij Slovenije
Heterogeneous glioblastoma cell cross-talk promotes phenotype alterations and enhanced drug resistance
Helena Motaln, Ana Koren, Kristina Gruden, Živa Ramšak, Christian Schichor, Tamara Lah Turnšek
Izvirni znanstveni članek
Oznake: glioblastoma heterogeneity;U87 cells;temozolomide resistance;cellular cross-talk;transcriptomics;
Glioblastoma multiforme is the most lethal of brain cancer, and it comprises a heterogeneous mixture of functionally distinct cancer cells that affect tumor progression. We examined the U87, U251, and U373 malignant cell lines as in vitro models to determine the impact of cellular cross-talk on thei ...
Leto: 2015 Vir: Nacionalni inštitut za biologijo (NIB)
Human mesenchymal stem cells exploit the immune response mediating chemokines to impact the phenotype of glioblastoma
Helena Motaln, Kristina Gruden, Matjaž Hren, Christian Schichor, Monika Primon, Ana Rotter, Tamara Lah Turnšek
Izvirni znanstveni članek
Oznake: mesenchymal stem cels;glioblastoma multiformae;MCP-1/CCL2;
Human mesenchymal stem cells exploit the immune response mediating chemokines to impact the phenotype of glioblastoma
Leto: 2012 Vir: Repozitorij Univerze v Ljubljani (RUL)
BioMiner
Chris Bauer, Karol Stec, Alexander Glintschert, Kristina Gruden, Christian Schichor, Michal Or-Guil, Joachim Selbig, Johannes Schuchhardt
Izvirni znanstveni članek
Oznake: data mining;multiomics data integration;biomarker detection;pathway visualization;personalized medicine;cancer;
Personalized medicine is promising a revolution for medicine and human biology in the 21st century. The scientific foundation for this revolution is accomplished by analyzing biological high-throughput data sets from genomics, transcriptomics, proteomics, and metabolomics. Currently, access to these ...
Leto: 2015 Vir: Nacionalni inštitut za biologijo (NIB)
Št. zadetkov: 4
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