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A Multi-omics Data Resource for Frontotemporal Dementia Research

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Frontotemporal Dementias

Part of the book series: Advances in Experimental Medicine and Biology ((AEMB,volume 1281))

Abstract

Frontotemporal dementia (FTD) is a neurodegenerative disease with high heritability. Almost half of all familial cases are caused by mutations in one of the three genes MAPT, GRN and C9orf72. Even though major advances in FTD research have been achieved during the last decades, it is not yet fully understood how mutations in these diverse genes lead to the disease. To improve our understanding of FTD, the Risk and Modifying Factors in Frontotemporal Dementia (RiMod-FTD) consortium has created an FTD-specific multi-omics data resource. Using multiple omics technologies on post-mortem brain tissue from patients with mutations in GRN, MAPT or C9orf72 and healthy controls, the resource aims to provide a comprehensive cellular profile of FTD. Furthermore, brain tissue from multiple mouse models and induced pluripotent stem cells (iPSC)-derived neuronal cultures were profiled with similar multi-omics technologies to make up for the shortcomings of post-mortem brain tissue. All data are publicly available to all researchers, and ongoing efforts aim to increase the available datasets and to improve their accessibility. The RiMod-FTD resource represents a uniquely valuable dataset for the field of FTD research, which we hope will accelerate the scientific progress in the field.

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Acknowledgements

This study was supported, in part, by RiMod-FTD an EU Joint Programme – Neurodegenerative Disease Research (JPND) to PH, KM; BMBF Integrative Data Semantics for Neurodegenerative research (IDSN) to PH and the DZNE and NOMIS Foundation to PH, KM.

Author information

Authors and Affiliations

  1. Department of Genome Biology of Neurodegenerative Diseases, German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany

    Peter Heutink

  2. Department of Genome Biology of Neurodegenerative Diseases, Deutsches Zentrum für Neurodegenerative Erkrankungen, Tübingen, Baden-Württemberg, Germany

    Kevin Menden

  3. Department of Genome Biology, Deutsches Zentrum für Neurodegenerative Erkrankungen, Tübingen, Baden-Württemberg, Germany

    Anupriya Dalmia

Authors
  1. Peter Heutink
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  2. Kevin Menden
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  3. Anupriya Dalmia
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Corresponding author

Correspondence to Peter Heutink .

Editor information

Editors and Affiliations

  1. Department of Pathology and Laboratory Medicine, Indiana University, Indianapolis, IN, USA

    Bernardino Ghetti

  2. International Centre for Genetic Engineering and Biotechnology (ICGEB), Trieste, Italy

    Emanuele Buratti

  3. Department of Neurology, Mayo Clinic, Rochester, MN, USA

    Bradley Boeve

  4. VIB Center for Molecular Neurology University of Antwerp-CDE Antwerpen, Belgium, Department of Neuroscience Mayo Clinic Jacksonville, FL, USA, Antwerpen, Belgium

    Rosa Rademakers

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Heutink, P., Menden, K., Dalmia, A. (2021). A Multi-omics Data Resource for Frontotemporal Dementia Research. In: Ghetti, B., Buratti, E., Boeve, B., Rademakers, R. (eds) Frontotemporal Dementias . Advances in Experimental Medicine and Biology, vol 1281. Springer, Cham. https://doi.org/10.1007/978-3-030-51140-1_16

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