首页 | 本学科首页   官方微博 | 高级检索  
   检索      


A guide to stem cell identification: progress and challenges in system-wide predictive testing with complex biomarkers
Authors:Williams Roy  Schuldt Bernhard  Müller Franz-Josef
Institution:Bioinformatics Shared Resource, Sanford Burnham Medical Research Institute, La Jolla, CA, USA.
Abstract:We have developed a first generation tool for the unbiased identification and characterization of human pluripotent stem cells, termed PluriTest. This assay utilizes all the information contained on a microarray and abandons the conventional stem cell marker concept. Stem cells are defined by the ability to replenish themselves and to differentiate into more mature cell types. As differentiation potential is a property that cannot be directly proven in the stem cell state, biologists have to rely on correlative measurements in stem cells associated with differentiation potential. Unfortunately, most, if not all, of those markers are only valid within narrow limits of specific experimental systems. Microarray technologies and recently next-generation sequencing have revolutionized how cellular phenotypes can be characterized on a systems-wide level. Here we discuss the challenges PluriTest and similar global assays need to address to fulfill their enormous potential for industrial, diagnostic and therapeutic applications.
Keywords:bioinformatics  biomarkers  gene expression  machine learning  pluripotent stem cells
本文献已被 PubMed 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号