Seifert Lab: Medical Bioinformatics
The fast progress in the development of experimental technologies enables to measure molecular data of complex diseases with unprecedented detail. The analysis of such heterogeneous data sets requires specific bioinformatic tools to disentangle the complex interplay of different regulatory layers associated with disease-causing processes.
The focus of the research group Medical Bioinformatics is on the analysis of molecular high-throughput data for specific research questions connected to human diseases and on the development of corresponding innovative bioinformatic approaches and methods for the integrative analysis of the different molecular layers of such data sets. The research group can also offer support for data analyses based on bioinformatic consulting and extended service projects.
Research and service focus
- Analysis of molecular high-throughput data (e.g. transcriptome, epigenome, genome, proteome, metabolome) measured by bulk sequencing, single-cell sequencing, microarrays or other technologies
- Development of network-based methods and probabilistic models for the integrative analysis of heterogeneous molecular high-throughput data
- Identification and characterization of molecular alterations and their associations with subgroups and clinical data
- Application of existing and newly developed data analysis strategies for computational cancer research (e.g. melanoma, astrocytoma, oligodendroglioma, leukemia, head and neck cancer, ovarian cancer)
Selected Projects
- Junior Associations MelBrainSys — Model-based prediction and experimental validation of novel therapeutic interventions for melanoma brain metastases (BMBF)
- Reconstruction of the evolutionary development of ovarian cancer
- Identification of novel cancer candidate genes for oligodendrogliomas
- Comparative preclinical drug response analysis of T-cell prolymphocytic leukemia
- Identification and characterization of gene expression differences between melanoma metastases in different organs
- Determination of molecular signatures associated with survival of acute myeloid leukemia
- Single-cell based transcriptome comparisons of brain and non-brain metastases of melanomas
Group leader
© Michael Seifert
Group leader
NameMr PD Dr. rer. nat. habil. Michael Seifert
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Members of the research group
© Luca Penso Dolfin
Research fellow
NameMr Dr. Luca Penso Dolfin
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Students (MD/ Ph.D. students, student assistants)
© Natalie Labitzke
MD student
NameMs Natalie Labitzke
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© Niclas Lange
MD student
NameMr Niclas Lange
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© Inja Lenhardt
MD student
NameMs J. M. Inja Lenhardt
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© Xuliang Xu
research assistant
NameMr Xuliang Xu B.Sc.
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Former staff members
© Felix Broghammer
Research fellow (external: OncoRay)
NameMr Felix Broghammer M.Sc.
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© Felicitas-Berenike Broll
MD student
NameMs Felicitas-Berenike Broll
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© Julia Figueroa Martinez
Master student
NameMs Julia Figueroa Martinez
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MD student
NameMr Josef Gladitz
Else-Kröner-Stiftung
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© Konrad Gruetzmann
Research fellow
NameMr Dr. rer. nat. Konrad Grützmann
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© Cosima Hufnagel
MD student
NameMs Cosima Hufnagel
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© Theresa Kraft
Research fellow
NameMs Theresa Kraft M.Sc.
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© Chris Lauber
Research fellow
NameMr Dr. Chris Lauber
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student assistant
NameMs Olena Maiakovska B.Sc.
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student assistant
NameMr Assad Majid B.Sc.
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Research fellow
NameMr Dr. rer. nat. Nathan Mikhaylenko
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Ph.D. student
NameMr Adrian Ortiz Cervantes M.Sc.
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© Pirasteh Pahlavan
Research fellow (external: NCT)
NameMs Dr. rer. nat. Pirasteh Pahlavan
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© Michael Rank
Research fellow
NameMr Michael Rank M.Sc.
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© Lisa Schöne
Research fellow (external: NCT)
NameMs Lisa Schöne M.Sc.
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© Annemarie Schwarz
MD student
NameMs Annemarie Schwarz
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MD student
NameMs Lisa Sturm
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© Marc-Christoph Wagner
Research fellow
NameMr Marc-Christoph Wagner M.Sc.
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Publications of the lab
2019
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Mutant IDH1 differently affects redox state and metabolism in glial cells of normal and tumor origin, Dec 2019, In: Cancers. 11, 12, 2028Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Targeted capture-based NGS is superior to multiplex PCR-based NGS for hereditary BRCA1 and BRCA2 gene analysis in FFPE tumor samples, 27 Apr 2019, In: BMC cancer. 19, 1, 396Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Multi-omic measurements of heterogeneity in HeLa cells across laboratories, 1 Mar 2019, In: Nature biotechnology. 37, 3, p. 314-322, 9 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Discovery of highly divergent lineages of plant-associated astro-like viruses sheds light on the emergence of potyviruses, 15 Jan 2019, In: Virus research. 260, p. 38-48, 11 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
2018
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Network-based analysis of oligodendrogliomas predicts novel cancer gene candidates within the region of the 1p/19q co-deletion, 11 Jun 2018, In: Acta neuropathologica communications. 6, 1, 49Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Pericytes/vessel-associated mural cells (VAMCs) are the major source of key epithelial-mesenchymal transition (EMT) factors SLUG and TWIST in human glioma, 8 May 2018, In: Oncotarget. 9, 35, p. 24041-24053, 13 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Comparative analysis of histologically classified oligodendrogliomas reveals characteristic molecular differences between subgroups, 10 Apr 2018, In: BMC cancer. 18, 1, 399Electronic (full-text) versionResearch output: Contribution to journal > Research article
2017
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The biology and mathematical modelling of glioma invasion: A review, Nov 2017, In: Journal of the Royal Society interface. 14, 136, 20170490Electronic (full-text) versionResearch output: Contribution to journal > Review article
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Comprehensive molecular characterization of multifocal glioblastoma proves its monoclonal origin and reveals novel insights into clonal evolution and heterogeneity of glioblastomas, 1 Apr 2017, In: Neuro-Oncology. 19, 4, p. 546-557, 12 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Adhesion- and stress-related adaptation of Glioma radiochemoresistance is circumvented by β1 integrin/JNK cotargeting, 2017, In: Oncotarget. 8, 30, p. 49224-49237, 14 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
This information is provided by the FIS.