Skip Navigation


Bioinformatics Advance Access originally published online on March 7, 2006
Bioinformatics 2006 22(11):1375-1382; doi:10.1093/bioinformatics/btl082
This Article
Right arrow Full Text Freely available
Right arrow FREE Full Text (Print PDF) Freely available
Right arrow Supplementary Data
Right arrow All Versions of this Article:
22/11/1375    most recent
btl082v1
Right arrow Comments: Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when Comments are posted
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrow Search for citing articles in:
ISI Web of Science (2)
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Hsu, C.-P.
Right arrow Articles by Lee, C.-T.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Hsu, C.-P.
Right arrow Articles by Lee, C.-T.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© The Author 2006. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

Constructing quantitative models from qualitative mutant phenotypes: preferences in selecting sensory organ precursors

Chao-Ping Hsu 1,2,*, Pei-Hsuan Lee 1, Ching-Wei Chang 1 and Cheng-Tsung Lee 1

1 Institute of Chemistry, Academia Sinica 128 Section 2 Academia Road, Nankang, Taipei 115 Taiwan
2 Institute of Molecular Sciences, National Chiao-Tung University 1001 Ta Hsueh Road, Hsinchu 300 Taiwan

*To whom correspondence should be addressed.

Motivation: To study biology from the systems level, mathematical models that describe the time-evolution of the system offer useful insights. Quantitative information is required for constructing such models, but such information is rarely provided.

Results: We propose a scheme—based on random searches over a parameter space, according to criteria set by qualitative experimental observations—for inferring quantitative parameters from qualitative experimental results. We used five mutant constraints to construct genetic network models for sensory organ precursor formation in Drosophila development. Most of the models were capable of generating expression patterns for the gene Enhancer of split that were compatible with experimental observations for wild type and two Notch mutants. We further examined factors differentiating the neural fate among cells in a proneural cluster, and found two opposite driving forces that bias the choice between middle cells and the peripheral cells. Therefore, it is possible to build numerical models from mutant screening and to study mechanisms behind the complicated network.

Contact: cherri{at}sinica.edu.tw

Supplementary information: Supplementary data are available at Bioinformatics online.


Received on September 23, 2005; revised on March 1, 2006; accepted on March 3, 2006

Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?




Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.