edoc

The statistical geometry of transcriptome divergence in cell-type evolution and cancer

Liang, Cong and Fantom Consortium, and Forrest, Alistair R. R. and Wagner, Günter P.. (2015) The statistical geometry of transcriptome divergence in cell-type evolution and cancer. Nature communications, Vol. 6 , Article Nr. 6066.

Full text not available from this repository.

Official URL: http://edoc.unibas.ch/dok/A6428726

Downloads: Statistics Overview

Abstract

In evolution, body plan complexity increases due to an increase in the number of individualized cell types. Yet, there is very little understanding of the mechanisms that produce this form of organismal complexity. One model for the origin of novel cell types is the sister cell-type model. According to this model, each cell type arises together with a sister cell type through specialization from an ancestral cell type. A key prediction of the sister cell-type model is that gene expression profiles of cell types exhibit tree structure. Here we present a statistical model for detecting tree structure in transcriptomic data and apply it to transcriptomes from ENCODE and FANTOM5. We show that transcriptomes of normal cells harbour substantial amounts of hierarchical structure. In contrast, cancer cell lines have less tree structure, suggesting that the emergence of cancer cells follows different principles from that of evolutionary cell-type origination.
Faculties and Departments:05 Faculty of Science > Departement Biozentrum > Computational & Systems Biology > Bioinformatics (van Nimwegen)
UniBasel Contributors:van Nimwegen, Erik
Item Type:Article, refereed
Article Subtype:Research Article
Bibsysno:Link to catalogue
Publisher:Nature Publishing Group
ISSN:2041-1723
Note:Publication type according to Uni Basel Research Database: Journal article
Related URLs:
Identification Number:
Last Modified:02 Oct 2015 10:01
Deposited On:02 Oct 2015 10:01

Repository Staff Only: item control page