Spring Selection 2018

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currently open
closes 7 Jan 2018

Research Groups

Portrait Pavel Tomancak

Pavel Tomancak

Patterns of gene expression in animal development

Previous and Current Research

The overall goal of our research is to understand how the information contained in animal genomes transforms into coordinated cellular behaviors that collectively represent development. It can be argued that the most direct manifestation of the genomic program is the tissue specific regulation of gene expression. Therefore, by describing the gene expression patterns in the context of cellular anatomy of the developing system, we take the necessary, first step towards understanding the information transfer from genome sequences to developmental processes. We focus on Drosophila embryogenesis as primary model system and insist on limiting our approaches to the ones that can be applied to many and potentially all genes in the genome. Initially we used high-throughput methods such as RNA in situ hybridization to visualize patterns of gene expression during embryonic development (APOGEE and FlyFish in collaboration with Eric Lecuyer and Henry Krause).

More recently we developed the FlyFos system that allows systematic generation of faithful, fluorescently labeled, live transgenic gene expression reporters. We develop novel imaging approaches based on Selective Plane Illumination Microscopy (SPIM) that will allow us to monitor the entire developing system, distinguishing all cells and associating gene activity reporters to them. This will result in the most qualitatively complete representation of patterns of gene expression and will lay down the observational foundation for systems biology analysis of development. These advanced imaging approaches necessitate new developments in quantitative 3D image analysis and to that end we pursue several projects that combine computer vision and biology (Fiji and CATMAID).

The observed complexity of gene expression regulation in embryogenesis arises, to large extent, from evolution of cis-regulatory sequences. The mechanisms of action of natural selection on non-coding sequences remain relatively poorly understood. We use the morphologically highly similar embryonic development of sequenced Drosophilid species to study the sequence determinants underlying divergence of gene expression patterns. We use high-throughput methods such as micro-arrays and deep sequencing, to uncover divergent gene expression profiles. In the course of this work we found unique, quantitative supporting evidence for a fundamental law of nature, the hourglass model of morphological evolution. We use the hourglass hypothesis as motivation to evaluate, using the tools we developed in D. melanogaster the divergence of embryonic patterns in different species before, during and after the insect phylotypic stage. We hope that by linking the divergence in sequence, to the divergence in gene expression regulation and the embryo phenotype we will provide new insights into the evolutionary mechanisms shaping the gene regulatory networks in early embryogenesis.

Pavel Tomancak research: figure 1
Fig.1: Sampling of patterns of gene expression in Drosophila embryogenesis.
Pavel Tomancak research: figure 2
Fig.2: Haeckel embryos constructed from Drosophila embryo images.
Future Projects and Goals
  • Developmental hourglass : comparative imaging of fruitfly embryogenesis
  • Advanced image analysis techniques to register and analyze 4d in toto SPIM recordings of gene expression patterns.
Methodological and Technical Expertise
  • Light sheet microscopy
  • biological image analysis
  • image-based genomics
  • transcriptomics
Selected Publications

Kalinka, Alex T.; Varga, Karolina M.; Gerrard, Dave T.; Preibisch, Stephan W.; Corcoran, David L.; Jarrels, Julia; Ohler, Uwe; Bergman, Casey M.; Tomancak, Pavel
Gene expression divergence recapitulates the developmental hourglass model
Nature, 468, no. 7325, pp. 811–814 (2010)

Preibisch S., Saalfeld S., Schindelin J., Tomancak P.
Software for bead-based registration of selective plane illumination microscopy data.
Nature Methods 7:418–419 (2010)

Saalfeld S., Cardona A., Hartenstein, V. and Tomancak P.
As-rigid-as-possible 2d-mosaicking and 3d-registration of large serial section TEM datasets.
Bioinformatics 26(12):i57–i63 (2010)

Ejsmont R., Sarov M., Winkler S., Lipinski K., Tomancak P.
A toolkit for high-throughput, cross-species gene engineering in Drosophila.
Nature Methods Jun;6(6):435–7 (2009)

Lécuyer E., Yoshida H., Parthasarathy N., Alm C., Babak T., Cerovina T., Hughes T.R., Tomancak P., Krause H.M.
Global analysis of mRNA localization reveals a prominent role in organizing cellular architecture and function.
Cell Oct 5;131(1):174–87 (2007)

Tomancak P., Berman B.P., Beaton A., Weiszmann R., Kwan E., Hartenstein V., Celniker S.E., Rubin G.M.
Global analysis of patterns of gene expression during Drosophila embryogenesis.
Genome Biology 8(7):R145 (2007)

CV

since 2005
Group leader at the Max-Planck-Institute of Molecular Cell Biology and Genetics, Dresden, Germany
Funding: ERC, HFSP, FP7

2000–2004
Postdoctoral work at the Dept. of Molecular and Cell Biology, University of California in Berkeley

1995–1999
PhD work at EMBL Heidelberg, Germany

Contact

Max Planck Institute of Molecular Cell Biology and Genetics
Pfotenhauerstraße 108
01307 Dresden

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