Research
- Research Topics
- Cell Biology and Tumor Biology
- Stem Cells and Cancer
- Inflammatory Stress in Stem Cells
- Experimental Hematology
- Molecular Embryology
- Signal Transduction and Growth Control
- Epigenetics
- Redox Regulation
- Vascular Oncology and Metastasis
- Clinical Neurobiology
- Molecular Neurogenetics
- Vascular Signaling and Cancer
- Molecular Neurobiology
- Mechanisms Regulating Gene Expression
- Molecular Biology of Centrosomes and Cilia
- Dermato-Oncology
- Pediatric Leukemia
- Tumour Metabolism and Microenvironment
- Personalized Medical Oncology
- Molecular Hematology - Oncology
- Cancer Progression and Metastasis
- Translational Surgical Oncology
- Neuronal Signaling and Morphogenesis
- Cell Signaling and Metabolism
- Cell Fate Engineering and Disease Modeling
- Cancer Drug Development
- Cell Morphogenesis and Signal Transduction
- Functional and Structural Genomics
- Molecular Genome Analysis
- Molecular Genetics
- Pediatric Neurooncology
- Cancer Genome Research
- Chromatin Networks
- Functional Genome Analysis
- Theoretical Systems Biology
- Neuroblastoma Genomics
- Signaling and Functional Genomics
- Signal Transduction in Cancer and Metabolism
- RNA-Protein Complexes and Cell Proliferation
- Systems Biology of Signal Transduction
- Areas of Interest
- Advancement of clinical proteomics for systems medicine
- Bridging from the single cell to the cell population – Epo-induced cellular responses and erythroleukemia
- Deciphering tumor microenvironment interactions determining lung cancer development
- Mechanisms controlling the compensation of liver injury and towards model-based biomarkers for early detection of liver cancer
- Application of dynamic pathway modelling for personalized medicine
- Group Members
- Publications
- Open Positions
- Funding
- Teaching
- Areas of Interest
- Molecular thoracic Oncology
- Proteomics of Stem Cells and Cancer
- Computational Genomics and System Genetics
- Applied Functional Genomics
- Applied Bioinformatics
- Translational Medical Oncology
- Metabolic crosstalk in cancer
- Pediatric Glioma Research
- Cancer Epigenomics
- Translational Pediatric Sarcoma Research
- Artificial Intelligence in Oncology
- Mechanisms of Genomic Variation and Data Science
- Neuropathology
- Pediatric Oncology
- Neurooncology
- Somatic Evolution and Early Detection
- Translational Control and Metabolism
- Soft-Tissue Sarcoma
- Precision Sarcoma Research
- Brain Mosaicism and Tumorigenesis
- Mechanisms of Genome Control
- Translational Gastrointestinal Oncology and Preclinical Models
- Translational Lymphoma Research
- Mechanisms of Leukemogenesis
- Genome Instability in Tumors
- Developmental Origins of Pediatric Cancer
- Brain Tumor Translational Targets
- Translational Functional Cancer Genomics
- Regulatory Genomics and Cancer Evolution
- SPRINT
- Cancer Risk Factors and Prevention
- Cancer Epidemiology
- Biostatistics
- Clinical Epidemiology and Aging Research
- Health Economics
- Physical Activity, Prevention and Cancer
- Preventive Oncology
- Personalized Early Detection of Prostate Cancer
- Digital Biomarkers for Oncology
- Tumorigenesis and molecular cancer prevention
- Genomic Epidemiology
- Cancer Survivorship
- Immunology, Infection and Cancer
- Structural Biology of Infection and Immunity
- Cellular Immunology
- B Cell Immunology
- Immune Diversity
- Immunoproteomics
- Personalized Immunotherapy
- mRNA Cancer Immunotherapies
- Translational Immunotherapy
- Infections and Cancer Epidemiology
- Pathogenesis of Virus-Associated Tumors
- Immunotherapy and Immunoprevention
- Virus-associated Carcinogenesis
- Chronic Inflammation and Cancer
- Microbiome and Cancer
- Molecular Oncology of Gastrointestinal Tumors
- Applied Tumor Immunity
- Neuroimmunology and Brain Tumor Immunology
- Applied Tumor Biology
- Virotherapy
- Adaptive Immunity and Lymphoma
- Dermal Oncoimmunology
- Immune Regulation in Cancer
- Systems Immunology and Single Cell Biology
- Pediatric Immuno-Oncology
- Experimental Hepatology, Inflammation and Cancer
- GMP & T Cell Therapy
- Tumorvirus-specific Vaccination Strategies
- Mammalian Cell Cycle Control Mechanisms
- Molecular Therapy of Virus-Associated Cancers
- DNA Vectors
- Episomal-Persistent DNA in Cancer- and Chronic Diseases
- Immune Monitoring
- News
- Imaging and Radiooncology
- Radiology
- Research
- Computational Radiology Research Group
- Contrast Agents In Radiology Research Group
- Neuro-Oncologic Imaging Research Group
- Radiological Early Response Assessment Of Modern Cancer Therapies
- Imaging In Monoclonal Plasma Cell Disorders
- 7 Tesla MRI - Novel Imaging Biomarkers
- Functional Imaging
- Visualization And Forensic Imaging
- PET/MRI
- Dual- and Multienergy CT
- Radiomics Research Group
- Prostate Research Group
- Breast Imaging Research Group
- Bone marrow
- Musculoskeletal Imaging
- Microstructural Imaging Research Group
- Staff
- Patients
- Research
- Medical Physics in Radiology
- X-Ray Imaging and Computed Tomography
- Federated Information Systems
- Translational Molecular Imaging
- Medical Physics in Radiation Oncology
- Biomedical Physics in Radiation Oncology
- Intelligent Medical Systems
- Medical Image Computing
- Radiooncology - Radiobiology
- Smart Technologies for Tumor Therapy
- Radiation Oncology
- Molecular Radiooncology
- Nuclear Medicine
- Translational Radiation Oncology
- Molecular Biology of Systemic Radiotherapy
- Interactive Machine Learning
- Intelligent Systems and Robotics in Urology
- Multiparametric methods for early detection of prostate cancer
- Translational Molecular Imaging in Oncologic Therapy Monitoring
- Radiology
- Cell Biology and Tumor Biology
- Research Groups A-Z
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- List of Core Facilities
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Flow Cytometry (FACS ®)
Dr. Steffen Schmitt
Thanks to continous technical development and the use of novel fluorescent dyes, the field of application of flow cytometry has steadily expanded in recent years. Originally developed as a method in immunology and haematology (routine diagnostics), flow cytometry is increasingly used in other biomedical research areas and in basic medical research. Especially in single cell analysis (e.g. genome and transcriptome analysis), flow cytometry cell sorting plays an important role for obtaining and processing the sample material.
FACS® (Fluorescence Activated Cell Sorting) analysis is based on a (stained) single cell suspension (or other soluble particles), which individually pass through a focused laser beam and the characteristic scattered and fluorescent light generated is detected separately. With this method, relatively large cell counts can be analysed in a comparatively short time (up to 30,000 cells per second). The number of parameters per cell that can be analysed increases with the number of lasers and fluorescent dyes used. With our cell sorting devices at the DKFZ we can detect twenty parameters at the single cell level simultaneously with the above-mentioned flow rate and sort four subpopulations in parallel.
For the staining of cells, fluorescence dye-labelled antibodies are generally used, which specifically recognize and label structures on the cells. By suitable selection and composition of the individual markers with different fluorescent dyes, several dozens of subpopulations can be distinguished in one panel.
The Cytometry Core Facility at the DKFZ is a central service facility that advises and supports scientists in the planning, execution and evaluation of flow cytometry analyses and cell sorting. Modern instruments (analytical instruments and cell sorters) as well as various software are available for this purpose. In addition, the flow cytometry core facility is involved in the training of DKFZ staff and doctoral students. The courses on offer can be viewed via the department for advanced training. Course materials are made available via the DKFZ's internal eLearning portal.
After training (participation of our lectures and practical introduction and/ or training by the core staff) and acknowledgment of our user-guidelines, the use of the analysis equipment is directly done by the users. The cell sorting devices are operated with the support of our core members. Registered users fill out an "Initial Sort Discussion Sheet" and reserve a sort time slot online, which must be confirmed by the core facility members.
DKFZ staff can find further information on our range of services and available equipment on the Intranet under Scientific Services - Core Facilities – Imaging and Cytometry - Flow Cytometry
For further questions, please do not hesitate to contact us.
Employees:
Dr. Marcus Eich: + 49 (0)6221 42-3645
Klaus Hexel: + 49 (0)6221 42-3641
Tobias Rubner: + 49 (0)6221 42-3640
Florian Blum: +49 (0)6221 42-3641
E-mail: cytometry(at)dkfz-heidelberg.de