The Experts below are selected from a list of 3549 Experts worldwide ranked by ideXlab platform
Hideki Taniguchi - One of the best experts on this subject based on the ideXlab platform.
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establishment of Clonal Colony forming assay system for pancreatic stem progenitor cells
Cell Transplantation, 2002Co-Authors: Atsushi Suzuki, Kazunobu Oyama, Katashi Fukao, Hiromitsu Nakauchi, Hideki TaniguchiAbstract:Pluripotent stem cells found in a number of organs are usually in small cell populations. However, under adaptive stimulation, they enter the stage of growth and differentiation to compensate for the loss of differentiated cells. To analyze stem cell potential precisely, the exclusion of other differentiated cells and a Clonal assay system are strongly required. In this study, we established a Colony-forming assay system for pancreatic stem/progenitor cells in vitro. In this culture condition, they received signals for growth and differentiation, and formed Clonal colonies including pancreatic endocrine-lineage cells, such as alpha and beta cells. By combining this culture system with flow cytometric cell sorting, pancreatic stem/progenitor cells will be enriched, and their potential can be analyzed precisely in single cell-based experiments.
Jing Zhou - One of the best experts on this subject based on the ideXlab platform.
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establishment of Clonal Colony forming assay for propagation of pancreatic cancer cells with stem cell properties
Pancreas, 2007Co-Authors: Shanmiao Gou, Tao Liu, Chunyou Wang, Tao Yin, Ming Yang, Jing ZhouAbstract:Objective:Pancreatic cancer is among the most aggressive solid malignancies. It is possible that pancreatic cancer contains cancer stem cells responsible for its malignancy. The purposes of this study were (1) to establish an assay in which a subset of pancreatic cancer cell line (PANC-1) cells with
Daniel Vidal - One of the best experts on this subject based on the ideXlab platform.
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improving Clonal Colony optimization to evolve robust solutions
Genetic and Evolutionary Computation Conference, 2012Co-Authors: Jorge Maturana, Fernando Vergara, Cristian Rojas, Frederic Saubion, Felipe Vargas, Daniel VidalAbstract:In this article we work with a recently introduced metaheuristic for robust optimization, inspired by the structure and behavior of biologic Clonal colonies. We propose some improvements to increase their exploration and the exploitation capabilities. Our approach is compared to other robust optimization techniques, focusing in how the population is managed during the search.
Jorge Maturana - One of the best experts on this subject based on the ideXlab platform.
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improving Clonal Colony optimization to evolve robust solutions
Genetic and Evolutionary Computation Conference, 2012Co-Authors: Jorge Maturana, Fernando Vergara, Cristian Rojas, Frederic Saubion, Felipe Vargas, Daniel VidalAbstract:In this article we work with a recently introduced metaheuristic for robust optimization, inspired by the structure and behavior of biologic Clonal colonies. We propose some improvements to increase their exploration and the exploitation capabilities. Our approach is compared to other robust optimization techniques, focusing in how the population is managed during the search.
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robust optimization by means of vegetative reproduction
International Conference on Adaptive and Intelligent Systems, 2011Co-Authors: Jorge Maturana, Fernando VergaraAbstract:In the last half century, computer science has witnessed the appearance of nature-inspired methods for the resolution of complex optimization problems, which are hardly solved by traditional optimization methods. Metaheuristics like evolutionary algorithms or swarm intelligence have been successfully applied to a wide range of both theoretical and practical problems. This article presents a new optimization method based in reproduction mechanics of plant Clonal colonies. These systems are composed of a set of clones, interconnected and spatially spread over a geographical area. In this new metaheuristic, called Clonal Colony Optimization (CCO), problem solutions are associated to clones, that are subject to evolutionary cycles that adaptively reconfigure the geographical covering over the search space of the problem. Solutions coded in this manner would be more robust that those obtained using independent individuals.
Atsushi Suzuki - One of the best experts on this subject based on the ideXlab platform.
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establishment of Clonal Colony forming assay system for pancreatic stem progenitor cells
Cell Transplantation, 2002Co-Authors: Atsushi Suzuki, Kazunobu Oyama, Katashi Fukao, Hiromitsu Nakauchi, Hideki TaniguchiAbstract:Pluripotent stem cells found in a number of organs are usually in small cell populations. However, under adaptive stimulation, they enter the stage of growth and differentiation to compensate for the loss of differentiated cells. To analyze stem cell potential precisely, the exclusion of other differentiated cells and a Clonal assay system are strongly required. In this study, we established a Colony-forming assay system for pancreatic stem/progenitor cells in vitro. In this culture condition, they received signals for growth and differentiation, and formed Clonal colonies including pancreatic endocrine-lineage cells, such as alpha and beta cells. By combining this culture system with flow cytometric cell sorting, pancreatic stem/progenitor cells will be enriched, and their potential can be analyzed precisely in single cell-based experiments.