Cart (Loading....) | Create Account
Close category search window

A systems biology approach to hematopoietic stem-cell differentiation

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)

Genomic-level expression profiling, facilitated by the development of DNA micro or macro-arrays, allows measurement of the transcriptional response of a large set of genes to a cellular state in a single assay. The expression profile constitutes a detailed molecular phenotype of the cellular state, whether it is a disease, a process such as cell division or differentiation, or a response to a chemical or environmental perturbation. Although still in its technological infancy, DNA arrays are a powerful new tool (the first of the high throughput genomic tools) that will change the way we do basic and applied biological research, IP protection and process validation. Data are presented on the temporal expression profile of stem-cell differentiation along the granulocytic (G) lineage using Clontech/BD Plastic 8K Human Arrays to survey transcript levels of over 8,300 human genes. Data from several time points of the 14-day cultures were normalized by the new mask method of ratio normalization developed in our laboratory. This mask method was used to conservatively filter out genes with low fold changes (at 95% confidence level). A total of 380 genes were observed to be differentially regulated over time point and they were clustered into 5 clusters using self-organizing maps (SOMs). Two clusters displayed sequential upregulation of differentiation and function related genes. Another two exhibited sequential downregulation of protein synthesis and folding related genes. The remaining clustered showed early upregulation followed by downregulation of proliferation and differentiation related genes. Detailed examination of the differentially regulated genes revealed many are categorized into the expected clusters and with functionally complementary genes.

Published in:

Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint  (Volume:1 )

Date of Conference:


Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.