liu.seSearch for publications in DiVA
Change search
ReferencesLink to record
Permanent link

Direct link
Modelling cell lineage using a meta-Boolean tree model with a relation to gene regulatory networks
Linköping University, Department of Mathematics, Applied Mathematics. Linköping University, The Institute of Technology.ORCID iD: 0000-0002-1082-8325
Linköping University, Department of Electrical Engineering. Linköping University, The Institute of Technology.
Karolinska Institute.
Karolinska Institute.
Show others and affiliations
2011 (English)In: JOURNAL OF THEORETICAL BIOLOGY, ISSN 0022-5193, Vol. 268, no 1, 62-76 p.Article in journal (Refereed) Published
Abstract [en]

A cell lineage is the ancestral relationship between a group of cells that originate from a single founder cell. For example, in the embryo of the nematode Caenorhabditis elegans an invariant cell lineage has been traced, and with this information at hand it is possible to theoretically model the emergence of different cell types in the lineage, starting from the single fertilized egg. In this report we outline a modelling technique for cell lineage trees, which can be used for the C. elegans embryonic cell lineage but also extended to other lineages. The model takes into account both cell-intrinsic (transcription factor-based) and -extrinsic (extracellular) factors as well as synergies within and between these two types of factors. The model can faithfully recapitulate the entire C. elegans cell lineage, but is also general, i.e., it can be applied to describe any cell lineage. We show that synergy between factors, as well as the use of extrinsic factors, drastically reduce the number of regulatory factors needed for recapitulating the lineage. The model gives indications regarding co-variation of factors, number of involved genes and where in the cell lineage tree that asymmetry might be controlled by external influence. Furthermore, the model is able to emulate other (Boolean, discrete and differential-equation-based) models. As an example, we show that the model can be translated to the language of a previous linear sigmoid-limited concentration-based model (Geard and Wiles, 2005). This means that this latter model also can exhibit synergy effects, and also that the cumbersome iterative technique for parameter estimation previously used is no longer needed. In conclusion, the proposed model is general and simple to use, can be mapped onto other models to extend and simplify their use, and can also be used to indicate where synergy and external influence would reduce the complexity of the regulatory process.

Place, publisher, year, edition, pages
Elsevier Science B.V., Amsterdam , 2011. Vol. 268, no 1, 62-76 p.
Keyword [en]
Differentiation, Transcription factor, Asymmetric cell division
National Category
Engineering and Technology
URN: urn:nbn:se:liu:diva-63386DOI: 10.1016/j.jtbi.2010.10.003ISI: 000284918100007OAI: diva2:379166
Available from: 2010-12-17 Created: 2010-12-17 Last updated: 2016-08-31

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Larsson, Jan-ÅkeWadströmer, NiclasForchheimer, Robert
By organisation
Applied MathematicsThe Institute of TechnologyDepartment of Electrical Engineering
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 390 hits
ReferencesLink to record
Permanent link

Direct link