Heidelberg Translational Spatial Profiling Center
Welcome to the Translational Spatial Profiling Center (TSPC), a research hub funded by the Bruno and Helene Jöster Stiftung. The TSPC combines computational biology, quantitative biomedicine and novel imaging technologies (Spatial Omics) to discover new features for stratification, diagnosis and treatment of various neoplastic diseases.
The TSPC is managed by the Institute for Computational Biomedicine and Institute of Pathology under the leadership of Dr. Denis Schapiro (Managing Director), Prof. Saez-Rodriguez and Prof. Peter Schirmacher.
Meet the team
Dr. Denis Schapiro
Managing Director
Prof. Dr. Peter Schirmacher
Co-Director
Prof. Dr. Julio Saez-Rodriguez
Co-Director
Dr. Jovan Tanevski
Computational Lead
Dr. med. Lukas Hatscher, M.Sc.
PhD Candidate
Dr. med. Nils Englert, M.Sc.
Pathology resident
Prof. Dr. Thomas Longerich
Clinical Lead
Chiara Schiller, M.Sc.
PhD Candidate
Sebastian Gonzalez Tirado, M.Sc.
PhD Candidate
Dr. Esther Kimmle
Lab manager
Lydia Roeder
Administration
What we do
​The TSPC is committed to comprehensive spatial profiling of cancer patient cohorts. Patient tissue biospecimens are imaged using a Lunaphore COMET® system, generating highly multiplexed images. These images are processed through a standardized image analysis pipeline. The extracted spatial features are then employed to improve patient stratification, including the prediction of therapeutic response. Current use cases are non-small cell lung cancer and intrahepatic cholangiocarcinoma. If you are interested in a collaboration, do not hesitate to contact us! For further information see current open call for collaborations.​
Open call for collaborations
Clinical Call
We are looking for additional case studies for our growing center. If you are interested in collaborating or want to learn more, please feel free to contact us.
Your Expertise:
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Clinically defined cancer patient cohorts: Of particular interest are cohorts with clinically meaningful questions like differences in treatment response or disease progression.
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Biomaterial: Tumor tissue samples
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Clinical metadata: Detailed clinical information about the patients, including diagnosis, imaging, and treatment course.
Our Expertise:
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Spatial profiling with highly multiplexed imaging: Detailed analysis of tumor tissues with a focus on tumor-immune interactions.
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Computational data analysis: Bioinformatics methods for processing image data and comprehensive analyses of the spatial distribution and interaction of cell types within the samples.
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Multimodal analysis: Integration of various data types in conjunction with clinically relevant data for improved patient stratification.
Your request should include a brief abstract and information on:
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Clinical hypothesis and relevance
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Cohort size
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Clinical endpoint (e.g., progression-free survival)
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Status of ethical approval
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Type of tissue samples
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Clinical metadata (type, completeness, availability)
Funding
Bruno und Helene Jöster Stiftung
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University Hospital Heidelberg (Clinician Scientist Program)