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Study of cell differentiation by phylogenetic analysis using histone modification data.

Authors :
Nair, Nishanth Ulhas
Yu Lin
Manasovska, Ana
Antic, Jelena
Grnarova, Paulina
Das Sahu, Avinash
Bucher, Philipp
Moret, Bernard M. E.
Source :
BMC Bioinformatics. 2014, Vol. 15 Issue 1, p1-15. 15p. 8 Diagrams, 5 Charts.
Publication Year :
2014

Abstract

Background: In cell differentiation, a cell of a less specialized type becomes one of a more specialized type, even though all cells have the same genome. Transcription factors and epigenetic marks like histone modifications can play a significant role in the differentiation process. Results: In this paper, we present a simple analysis of cell types and differentiation paths using phylogenetic inference based on ChIP-Seq histone modification data. We precisely defined the notion of cell-type trees and provided a procedure of building such trees. We propose new data representation techniques and distance measures for ChIP-Seq data and use these together with standard phylogenetic inference methods to build biologically meaningful cell-type trees that indicate how diverse types of cells are related. We demonstrate our approach on various kinds of histone modifications for various cell types, also using the datasets to explore various issues surrounding replicate data, variability between cells of the same type, and robustness. We use the results to get some interesting biological findings like important patterns of histone modification changes during cell differentiation process. Conclusions: We introduced and studied the novel problem of inferring cell type trees from histone modification data. The promising results we obtain point the way to a new approach to the study of cell differentiation. We also discuss how cell-type trees can be used to study the evolution of cell types. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14712105
Volume :
15
Issue :
1
Database :
Academic Search Index
Journal :
BMC Bioinformatics
Publication Type :
Academic Journal
Accession number :
100950729
Full Text :
https://doi.org/10.1186/1471-2105-15-269