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
2023
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Patient-specific identification of genome-wide DNA-methylation differences between intracranial and extracranial melanoma metastases, 9 Jan 2023, In: Scientific reports. 13, 1, 444Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Meta-analysis of expression and the targeting of cell adhesion associated genes in nine cancer types - A one research lab re-evaluation, Jan 2023, In: Computational and Structural Biotechnology Journal. 21, p. 2824-2836, 13 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
2022
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Computational gene expression analysis reveals distinct molecular subgroups of T-cell prolymphocytic leukemia, Sep 2022, In: PloS one. 17, 9, e0274463Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Comparative Gene Expression Analysis Reveals Similarities and Differences of Chronic Myeloid Leukemia Phases, 5 Jan 2022, In: Cancers. 14, 1, 256Electronic (full-text) versionResearch output: Contribution to journal > Research article
2021
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Advanced Pathogenetic Concepts in T-Cell Prolymphocytic Leukemia and Their Translational Impact, 19 Nov 2021, In: Frontiers in oncology. 11, 775363Electronic (full-text) versionResearch output: Contribution to journal > Review article
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Diminished PLK2 Induces Cardiac Fibrosis and Promotes Atrial Fibrillation, Oct 2021, In: Circulation research. 129, 8, p. 804-820, 17 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
2020
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The effect of the triazene compound CT913 on ovarian cancer cells in vitro and its synergistic interaction with the PARP-inhibitor olaparib, Dec 2020, In: Gynecologic oncology. 159, 3, p. 850-859, 10 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
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The clinical-phenotype continuum in DYNC1H1-related disorders—genomic profiling and proposal for a novel classification, 1 Nov 2020, In: Journal of Human Genetics. 65, 11, p. 1003-1017, 15 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Survival differences and associated molecular signatures of DNMT3A-mutant acute myeloid leukemia patients, 29 Jul 2020, In: Scientific reports. 10, 1, 12761Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Identifying Genetic Lesions in Ocular Adnexal Extranodal Marginal Zone Lymphomas of the MALT Subtype by Whole Genome, Whole Exome and Targeted Sequencing, 17 Apr 2020, In: Cancers. 12, 4, 986Electronic (full-text) versionResearch output: Contribution to journal > Research article
This information is provided by the FIS.