iTox – integrative toxicology

In iTox we aim to integrate data and knowledge from different fields of toxicology to investigate molecular toxicological events and their relation to adverse outcomes on the organism scale. The integration of own data with knowledge and data from databases and other sources is key in our research that aims at understanding general and specific toxicological processes relevant for human and environmental health.

In different projects we work on the investigation, modelling and visualisation of toxicogenomic effects in zebrafish embryos and study time and concentration dependencies as well as mixture and recovery effects (see also: https://webapp.ufz.de/itox/tfpbrowser/).

Biotox 6
Picture: predicted (A) and observed (B) whole transcriptome effect patterns in the zebrafish embryo after mixture exposure (Smax=Sensitivity, sum(CI)=measure for significance)
Furthermore, we collect, investigate and apply mode of action knowledge and effect data of chemicals for environmental mixture risk assessment and develop tools for data management and data integration.

Tools and Software

a R Shiny tool for exploration and visualization of time and concentration dependent toxicogenomic data obtained with the zebrafish embryo model


INTOB-ZFE

Integrated software and database for effect observations on organism scale

https://webapp.ufz.de/intob-db/

Group members

itox group
Photo: Sebastian Wiedling

If you are interested in joining the group please contact Wibke Busch

Dr. Wibke Busch
Working Group Leader
Phone: +49 341 235 1581
E-Mail

Paul Michaelis
Bioinformatican
Phone: +49 341 235 4751
E-Mail

Maryam Azarian
PostDoc
Phone: +49 341 235 1512
E-Mail

Bernhard Kodritsch
PhD-Student
Phone +49 341 235 4751
E-Mail

Janet Krüger
Technican
Phone: +49 341 235 1480
E-Mail

Bente Nissen
Student assistant
Phone +49 341 235 1491
E-Mail

Lukas Nerlich
Student assistant
E-Mail

Lena Kramer
Student assistant
E-Mail 

Anton Schnurpel
Student assistant
E-Mail 

Publications

Index:

You could use our publication index for further requests.

2023 (3)

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2022 (5)

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2021 (2)

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2020 (4)

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2019 (6)

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2018 (6)

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2017 (6)

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2016 (3)

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2015 (4)

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