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Interdisciplinary Centre for Bioinformatics (IZBI)

Research Activities at the Centre

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Research Activities at the Centre

The IZBI pursues an interdisciplinary approach bringing together experimental bioscientists (i.e. cell biologists, biochemists, pathologists, clinicians involved in basic research) and experts trained in the analysis of complex data and formal modelling of structures and processes (i.e. computer scientists, biostatisticians, biomathematicians).
The Bioinformatics centre focuses on two major fields of research:

  1. In the field of Genetic Evolution we pursue projects to analyse genetic diversity and to use this knowledge for discerning the evolutionary relationships among species (i.e. phylogeny reconstruction), comparisons between humans and chimpanzees and understanding complexities of biological processes (e.g. evolution of genetic regulation);
  2. In the field of Tissue Formation and Cellular Signal Transduction we concentrate on understanding the genotype and phenotype dependency in tissue formation and function. Several projects are planned to elucidate the mechanisms of spatial formation of tissues (e.g. epithelia, tumours, engineered tissues), to investigate the architecture of signal transduction and genetic regulatory networks, and to analyse high-dimensional genomic and molecular data from manipulated normal and diseased tissues (e.g. gene expression analysis).

Research concept

IZBI offers our partners a novel way of research management to serve their demands in the most efficient way.

IZBI is designed to support cooperating scientists on a project basis. Projects can be either research projects (aiming at a scientific result) or service projects (aiming at providing a technology or a routine data management and analysis).

Project proposals can be submitted to IZBI at any time. The projects selected will be supported whenever possible with IZBI funds.

TheIZBI is structured into working groups. Working groups consist of IZBI research staff members and scientists of the participating institutes. They have regular meetings, discuss research results, invite guests, discuss new project proposals, and conduct courses and seminars.

Each working group is headed by a scientific coordinator, who stimulates and coordinates these activities and also supervises the advance of projects and of skills.

Working group 1 ("Data Base and Data Integration", coordinator Prof. Rahm) focuses particularly on projects to design and implement data warehouses for genomic and molecular data and related annotations. As a methodological working group it links with all other working groups.

Working group 2 ("Tissue Organisation", coordinator Dr. Drasdo) focuses on understanding spatial tissue formation. It pursues projects using simulation models and on 3D image reconstruction of microscopy data.

Working group 3 ("Signal Transduction and Gene Expression", coordinator Prof. Horn) has two areas of activity. One concerns gene expression analysis. The second area concerns cellular signal transduction.

The Junior Research Group ("Complex Regulatory Networks", Prof. Bornholdt) is associated with WG3. This group studies dynamics and function of complex regulatory network systems. Examples range from the molecular level of gene regulation and signal transduction networks, to cellular systems as the immune system and the brain. The goal of this group is to develop methods, models, and strategies for studying the dynamics of complex regulatory network systems.

Working Group 4 ("Genetic Evolution", coordinator since 9/2002 Prof. Stadler) deals with phylogenies on the basis of genome analyses.

Main results

The IZBI achieved the following results in 2003:

(1) The activities of the Bioinformatics Centre were positively evaluated by a board of external reviewers in May 2003. The "Deutsche Forschungsgemeinschaft" decided to support the Centre for the next three years with a grant of 2.1 Mio Euro.

(2) IZBI starts cooperations with the following institutions within the University of Leipzig:

  • Prof. Rahm (Institute for Computer Science): datawarehouse, data integration and aggregation
  • Prof. Middendorf (Institute for Computer Science): complex models of evolution
  • Prof. Robitzki (Biocity): cell and tissue modelling
  • Prof. Schlegel (Biological Faculty): deep phylogenies
  • Prof. Käs (Physical Faculty): cell elasticity
  • Prof. Müller (Faculty of Veterinary Medicine): Virus evolution
  • Dr. Ahnert (Biocity): genetic variability of autoimmune deseases
  • Prof. Paschke (Medical Faculty ): Genexpression of Schilddrüsenkarzinom
  • Prof. Höckel (Medical Faculty): 3D Characterisation of Squamous Epithelial Carcinoma of the Uterine Cervix
  • Prof. Horn (Medical Faculty): genexpression analysis, transcriptional networks
  • PD Dr. Krohn (IZKF): microarray technologies and analysis.
  • PD Dr. Aust (Medical Faculty): growth models of colorectal carcinomas
  • Prof. Löffler (Medical Faculty, IMISE, KKSL): biometry and statistical analysis of geneexpression data, bioinformatics infrastructure for the joint analysis of molecular and clinical data, tissue modeling.
  • Prof. Bader (Biocity): tissue modeling

Research Projects

Working group 1: Databases and Data Integration (WG1)

Data warehouse for gene expression analysis
E. Rahm (IfI), H. H. Do (IZBI), T. Kirsten (IZBI)

Annotation Management and Integration
E. Rahm (IfI), H. H. Do (IZBI), T. Kirsten (IZBI)

Working group 2: Tissue Organisation

3D Characterisation of Squamous Epithelial Carcinoma of the Uterine Cervix by means of both Reconstructed and Modelled Tumours
J.-P. Kuska (IfI), J. Einenkel (Dept. of Gynaecology and Obstetrics), M. Höckel (Dept. of Gynaecology and Obstetrics), L.-C. Horn (Institute of Pathology), U.-D. Braumann (IZBI), J. Galle (IZBI), H. Binder (IZBI), D. Drasdo (MPI MIS), M. Löffler (IMISE)

Modelling the effect of malfunctioning proliferation and apoptosis on the growth dynamics of epithelial cell populations
J. Galle (IZBI), M. Löffler (IMISE), D. Drasdo (MPI MIS)

Modeling tumor growth in-vitro
D. Drasdo (MPI MIS), S. Höhme (IZBI)

Working group 3: Gene expression and cellular signal transduction

Application of the Westfall-Young testing strategy to several sets of genes
J. Läuter (IZBI), M. Beck (IZBI), M. Löffler (IMISE)

Multivariate, parametric testing of differential gene expression for Affymetrix GeneChipâ Data
E. Schuster (IMISE), I. Roeder (IMISE)

Sequence specific sensitivity of oligonucleotide probes
H. Binder (IZBI), I. Hofacker (Univ. Wien), T. Kirsten (IZBI), M. Löffler (IMISE), P. Richter (IfI), P. Stadler (IfI)

Comparison of normalisation procedures for oligonucleotide micro-arrays by parametric bootstrap simulation of spike-in experiments
J. Freudenberg (IZBI), H. Boriss (IZBI), D. Hasenclever (IMISE)

Comparison of summary measures and development of a present call procedure based on 95% credible intervals using a 2 by 2 linear model for signal synthesis
M. Engler (IZBI), H. Boriss (IZBI), D. Hasenclever (IMISE)

Meta analysis of gene expression studies
H. Boriss (IZBI), D. Hasenclever (IMISE)

Modelling the Transcriptional Control of Haemotaopoietic Commitment
D. Drasdo (MPI MIS), K. Missal (IZBI), M. Cross (IZKF)

Reconstruction of a transcriptional network controlling the interleukin-6-dependent growth and survival of multiple myeloma cells
J. Jost (MPI MIS), A. Müller (MPI MIS), F. Horn (IKIT)

Working group 4: Genetic Evolution

Insights into recombination in humans
S. Ptak (IZBI), M. Przeworski (MPI EVA)

Metazoan deep phylogenies - can the Cambrian explosion be resolved with molecular markers
G. Fritzsch (IZBI), M. Schlegel (Institute for Zoology)

Junior Research Group: Complex Regulatory Networks

Information processing in regulatory networks: Structure, dynamics, and function
S. Bornholdt, K. Klemm (IZBI)

Interacting gene regulation networks and spatial pattern formation
S. Bornholdt, T. Rohlf (IZBI)

Complex Biological Networks in Autoimmune Diseases
S. Bornholdt, J. Reichardt (IZBI), P. Ahnert (IKIT)

 

 

 

Home Zusammenstellung: Forschungskontaktstelle, 06.07.2004