Single Cell Genomics Network (SCGN) - Revolutionizing Biology and Medicine

Single Cell Genomics Network (SCGN)

Revolutionizing Biology and Medicine

SCGN mission

Single-cell genomics is revolutionizing biology and medicine, combining the advantages of bulk sequencing techniques and microscopic analyses of single cells. Rapid technological advances now allow the profiling of genomes, transcriptomes and epigenomes at an unprecedented level of resolution. To harness the full potential of these developments  new computational methods specifically tailored towards the analysis of single-cell omics data are essential. Integrating efforts in all research areas involved will enhance the translation of single-cell sequencing techniques to the clinic. The single cell genomics network Germany (SCGNG) brings together  national researchers using and developing single-cell technologies to generate insights into biological systems. Its mission is to provide a collaborative platform for the exchange of both computational and experimental methods and expertise, thereby strengthening single-cell research in Germany. Connecting the German single-cell community with relevant international initiatives (such as HCA and IHEC), the SCGNG will help to address biomedical questions and foster translational research.


Ezio Bonifacio
Technical University of Dresden

Maria Colomé-Tatché
Helmholtz Zentrum München

Roland Eils/Christian Conrad/Matthias Schlesner
Bioquant, DKFZ Heidelberg

Wolfgang Enard
Ludwig-Maximilians-Universität München

Michael Floßdorf
Technical University of Munich

Christiane Fuchs
Helmholtz Zentrum München

Dominik Grün
Max Planck Institute of Immunobiology and Epigenetics

Ines Hellmann
Ludwig-Maximilians-Universität München

Thomas Höfer
DKFZ Heidelberg

Jan-Philipp Junker
MDC Berlin

Christoph Klein/Stefan Kirsch/Urs Lahrmann
Fraunhofer ITEM Regensburg

Ursula Klingmüller/Marcel Schilling
DKFZ Heidelberg

Oliver Kohlbacher
University of Tübingen

Carsten Marr
Helmholtz Zentrum München

Alice McHardy
Helmholtz Centre for Infection Research, Braunschweig

Uwe Ohler
MDC Berlin

Nikolaus Rajewski
MDC Berlin

Herbert Schiller
Helmholtz Zentrum München

Joachim Schultze/Andreas Schlitzer

Rainer Spang
University of Regensburg

Oliver Stegle
EMBL-EBI, Wellcome Genome Campus, Hinxton, UK

Fabian Theis
Helmholtz Zentrum München

Maria Elena Torres-Padilla
Helmholtz Zentrum München

Barbara Treutlein
Max Planck Institute for Evolutionary Anthropology, Munich

Jörg Vogel
Institute for Molecular Infection Biology, HIRI Würzburg

Jörn Walter
Universität des Saarlandes

Dietmar Zehn
Technical University of Munich

Michael Ziller
Max Planck Institute of Psychiatry, Munich


Adlung et al.
Protein abundance of AKT and ERK pathway components governs cell-type-specific regulation of proliferation
Molecular Systems Biology 2017

Beckert et al.
A meta-analysis of HLA peptidome composition in different hematological entities: Entity-specific dividing lines and "pan-leukemia" antigens 
Oncotarget 2017

Heninger et al.
A divergent population of autoantigen-responsive CD4+T cells in infants prior to β cell autoimmunity
Science Translational Medicine 2017

Ziegenhain et al.
Comparative Analysis of Single-Cell Sequencing Methods
Molecular Cell 2017

Bakker et al.
Single-cell sequencing reveals karyotype heterogeneity in murine and human malignancies
Genome Biology, 2016

Haghverdi et al.
Diffusion Pseudotime robustly reconstructs lineage branching
Nature Methods 2016

Hilsenbeck at al.
Software tools for single-cell tracking and quantification of cellular and molecular properties
Nature Biotechnology 2016

Hosseini at al.
Early dissemination seeds metastasis in breast cancer
Nature 2016

Flossdorf et al.
CD8+ T cell diversification by asymmetric cell division
Nature Immunology 2015

Schiller et al.
Time- and compartment-resolved proteome profiling of the extracellular niche in lung injury and repair
Molecular Systems Biology 2015

Joachim Schultze
Teaching 'big data' analysis to young immunologists
Nature Immunology 2015

Buchholz et al.
Disparate Individual Fates Compose Robust CD8+ T Cell Immunity
Science 2013

Grün et al.
Validation of noise models for single-cell transcriptomics
Nature Methods 2014

Junker JP et al
Every Cell Is Special: Genome-wide Studies Add a New Dimension to Single-Cell Biology
Cell 2014

Become a member


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Fabian Theis
Helmholtz Zentrum München

Nikolaus Rajewsk
MDC Berlin

Jörn Walter

Universität des Saarlandes