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Heidelberg Translational Spatial Profiling Center

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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.

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Meet the team

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Dr. Denis Schapiro

Managing Director

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Prof. Dr. Peter Schirmacher

Co-Director

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Prof. Dr. Julio Saez-Rodriguez

Co-Director

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Dr. Jovan Tanevski

Computational Lead

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Dr. med. Lukas Hatscher, M.Sc.

PhD Candidate

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Dr. med. Nils Englert, M.Sc.

Pathology resident

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Prof. Dr. Thomas Longerich

Clinical Lead

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Chiara Schiller, M.Sc.

PhD Candidate

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Sebastian Gonzalez Tirado, M.Sc.

PhD Candidate

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Dr. Esther Kimmle

Lab manager

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Lydia Roeder

Administration

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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.​

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Open positions

Currently no open positions

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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: 

  • Clinically defined cancer patient cohorts: Of particular interest are cohorts with clinically meaningful questions like differences in treatment response or disease progression. 

  • Biomaterial: Tumor tissue samples 

  • Clinical metadata: Detailed clinical information about the patients, including diagnosis, imaging, and treatment course.

Our Expertise: 

  • Spatial profiling with highly multiplexed imaging: Detailed analysis of tumor tissues with a focus on tumor-immune interactions. 

  • Computational data analysis: Bioinformatics methods for processing image data and comprehensive analyses of the spatial distribution and interaction of cell types within the samples. 

  • 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:

  • Clinical hypothesis and relevance

  • Cohort size

  • Clinical endpoint (e.g., progression-free survival)

  • Status of ethical approval

  • Type of tissue samples

  • Clinical metadata (type, completeness, availability)

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Funding

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Bruno und Helene Jöster Stiftung

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Schapiro Lab

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Tanevski Lab

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Saez-Rodriguez group

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Institute of Pathology

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University Hospital Heidelberg (Clinician Scientist Program)

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Contact

info.tspc(at)uni-heidelberg.de

Institute for Computational Biomedicine

Marsiliusarkaden 130.3

69120 Heidelberg

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