Abstract
We present a methodology to analyze zebrafish knock-out experiment replicated time series microarray data. The knock-out experiment aimed to elucidate the transcriptomal regulators underlying the glycocalyx-regulation of vasculogenesis by performing global gene expression analysis of NDST mutants and wild-type siblings at three distinct time points during development. Cluster analysis and the construction of a genetic interaction network allows to identify groups of genes acting in the process of early stage vasculogenesis. We report the following findings: we found a large number of gene clusters, particularly glycans, during the three developmental steps of the zebrafish organism. In each step, genes connectivity changes according to two different powerlaws. The clusters are highlighted in such a way, that it is possible to see the dynamics of the interactions through the time points recorded in the microarray experiment. Vegf-related genes seem not to be involved at transcriptomics level, suggesting alternative regulative pathways do exist to modulate transcriptomal signatures in developing zebrafish. Our results show that there are several glycan-related genes which may be involved in early processes such as vasculogenesis.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Hanahan, D., Weinberg, R.A.: The hallmarks of cancer. CellĀ 100(1), 57ā70 (2000)
Fuster, M.M., et al.: Genetic alteration of endothelial heparan sulfate selectively inhibits tumor angiogenesis. Journal of Experimental MedicineĀ 204, i16 (2007)
Ihaka, R., Gentleman, R.: A Language for Data Analysis and Graphics. Journal of Computational and Graphical StatisticsĀ 5(3), 299ā314 (1996)
Enright, A.J., Van Dongen, S., et al.: An efficient algorithm for large-scale detection of protein families. Nucleic Acids Res.Ā 30(7), 1575ā1584 (2002)
Brandes, U., Wagner, D.: Visone - Analysis and Visualization of Social Networks. In: Junger, M., Mutzel, P. (eds.) Graph Drawing Software, pp. 321ā340. Springer, Heidelberg (2003)
Veiga, D.F., Vicente, F.F., et al.: Gene networks as a tool to understand transcriptional regulation. Genet Mol. Res.Ā 5(1), 254ā268 (2006)
Caretta-Cartozo, C., De Los Rios, P., et al.: Bottleneck Genes and Community Structure in the Cell Cycle Network of S. pombe. PLoS Comput. Biol.Ā 3(6), e103 (2007)
Watts, D.J., Strogatz, S.H.: Collective dynamics of āsmall-worldā networks. NatureĀ 393, 440ā442 (1998)
Park, J., Barabasi, A.-L.: Distribution of node characteristics in complex networks. PNAS (2007) 0705081104v1-0
Guimera, R., Sales-Pardo, M., Amaral, L.A.: Modularity from fluctuations in random graphs and complex networks. Phys. Rev. E Stat. Nonlin. Soft Matter Phys.Ā 70(2 Pt 2), 025101 (2004)
Newman, M.E., Girvan, M.: Finding and evaluating community structure in networks. Phys. Rev. E Stat. Nonlin. Soft Matter Phys.Ā 69, 026113 (2004)
Fortunato, S., Barthelemy, M.: Resolution limit in community detection. Proc. Natl. Acad. Sci. U S A.Ā 104, 36ā41 (2007)
van Dongen, S.: Graph Clustering by Flow Simulation. PhD thesis, University of Utrecht (May 2000)
Gfeller, D., Chappelier, J.C., De Los Rios, P.: Finding instabilities in the community structure of complex networks. Phys. Rev. E Stat. Nonlin. Soft Matter Phys.Ā 72, 056135 (2005)
Caretta-Cartozo, C., De Los Rios, P., Piazza, F., Lio, P.: Bottleneck genes and community structure in the cell cycle network of S. pombe. PLoS Comput Biol.Ā 3(6), e103 (2007)
Ramsay, J.O., Dalzell, C.J.: Some tools for functional data analysis. Journal of the Royal Statistical Society, Series B 53, 539ā572 (1991)
Ramsay, J.O., Munhall, K.G., Gracco, V.L., Ostry, D.J.: Functional data analysis of lip motion. Journal of the Acoustical Society of AmericaĀ 99, 3718ā3727 (1996)
Ramsay, J.O., Silverman, B.W.: Functional Data Analysis. Springer, New York (1997)
Abramsson, A., Kurup, S., Busse, M., Yamada, S., Lindblom, P., Schallmeiner, E., Stenzel, D., Sauvaget, D., Ledin, J., Ringvall, M., Landegren, U., KjellĆ©n, L., Bondjers, G., Li, J., Lindahl, U., Spillmann, D., Betsholtz, C., Gerhardt, H.: Defective N-sulfation of heparan sulfate proteoglycans limits PDGF-BB binding and pericyte recruitment in vascular development. Genes and DevelopmentĀ 21, 316ā331 (2007)
Ritchie, M.E., Diyagama, D., Neilson, J., van Laar, R., Dobrovic, A., Holloway, A., Smyth, G.K.: Empirical array quality weights for microarray data. BMC BioinformaticsĀ 7, 261 (2006)
Neufeld, T.P.: Shrinkage control: regulation of insulin-mediated growth by FOXO transcription factors. Journal of BiologyĀ 2, 18 (2003)
Lam, E.W.-F., Francis, R.E., Petkovic, M.: FOXO transcription factors: key regulators of cell fate. Biochemical Society TransactionsĀ 34, 5 (2006)
JĆ¼nger, M.A., Rintelen, F., Stocker, H., Wasserman, J.D., VĆ©gh, M., Radimerski, v., Greenberg, M.E., Hafen, E.: The Drosophila Forkhead transcription factor FOXO mediates the reduction in cell number associated with reduced insulin signaling. Journal of BiologyĀ 2, 20 (2003)
Harvey, K.F., Mattila, J., Sofer, A., Bennett, F.C., Ramsey, M.R., Ellisen, L.W., Puig, O., Hariharan, I.K.: FOXO-regulated transcription restricts overgrowth of Tsc mutant organs. The Journal of Cell Biology, 691ā696 (2008)
Daly, C., et al.: Angiopoietin-1 modulates endothelial cell function and gene expression via the transcription factor FKHR (FOXO1). Genes Dev.Ā 18, 1060ā1071 (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
Ā© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Sorathiya, A., Jucikas, T., Piecewicz, S., Sengupta, S., LiĆ², P. (2009). Searching for Glycomics Role in Stem Cell Development. In: Masulli, F., Tagliaferri, R., Verkhivker, G.M. (eds) Computational Intelligence Methods for Bioinformatics and Biostatistics. CIBB 2008. Lecture Notes in Computer Science(), vol 5488. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02504-4_18
Download citation
DOI: https://doi.org/10.1007/978-3-642-02504-4_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02503-7
Online ISBN: 978-3-642-02504-4
eBook Packages: Computer ScienceComputer Science (R0)