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Tecnología en Marcha
Article . 2019 . Peer-reviewed
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Tecnología en Marcha
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Tecnología en Marcha
Article . 2019
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Cultivo Celular e Ingeniería de Tejidos: Aplicaciones en Biomedicina

Authors: Johan Morales-Sánchez; Andrea Ulloa-Fernández; Silvia Castro-Piedra; Carolina Centeno-Cerdas; Laura A. Calvo-Castro;

Cultivo Celular e Ingeniería de Tejidos: Aplicaciones en Biomedicina

Abstract

El Laboratorio de Ingeniería de Tejidos (LAINTEC) del Centro de Investigación en Biotecnología (CIB) de la Escuela de Biología del Instituto Tecnológico de Costa Rica (TEC) nació en el 2005 con el objetivo de desarrollar terapias celulares para aplicaciones en medicina regenerativa. Actualmente, el LAINTEC aloja más de una decena de proyectos multidisciplinarios, realizados en colaboración con otros centros de investigación del TEC y con otras universidades a nivel nacional e internacional. Estas investigaciones se enfocan en el desarrollo y evaluación de implantes, biomateriales y terapias regenerativas de piel, músculo y hueso, incluyendo el aislamiento y caracterización de células madre mesenquimales de tejido adiposo. Además, se han establecido modelos celulares y tisulares para la evaluación del potencial bioactivo de distintos agentes con potenciales aplicaciones en biomedicina.

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Keywords

Technology, Medicina regenerativa, musculo, cáncer, T, células madre mesenquimales de tejido adiposo, fitoquímicos, piel

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    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold