Computational Strategies for Niche-Dependent Cell Conversion to Assist Stem Cell Therapy
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Updated: Jan 28, 2026

Studying Pancreatic Cancer Stem Cell Characteristics for Developing New Treatment Strategies
Published on: June 20, 2015
Antonio Del Sol1, Satoshi Okawa2, Srikanth Ravichandran2
1Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg,7 Avenue des Hauts-Fourneaux, Esch-sur-Alzette, L-4362 Luxembourg City, Luxembourg; CIC bioGUNE,Bizkaia Technology Park, 801 Building, 48160 Derio, Spain; IKERBASQUE, Basque Foundation for Science, Bilbao 48013, Spain; Moscow Institute of Physics and Technology, 141700 Dolgoprudny, Russia.
Abstract:
The field of regenerative medicine has blossomed in recent decades. However, the ultimate goal of tissue regeneration - replacing damaged or aged cells with healthy functioning cells - still faces a number of challenges. In particular, better understanding of the role of the cellular niche in shaping stem cell phenotype and conversion would aid in improving current protocols for stem cell therapies. In this regard, the implementation of novel computational approaches that consider the niche effect on stem cells would be valuable. Here we discuss current problems in stem cell transplantation and rejuvenation, and we propose computational strategies to control niche-dependent cell conversion to overcome them.
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