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Kristin Reiche

Professor of Digital Molecular Medicine

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Kristin Reiche

Research group:

Digital Molecular Medicine

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Short bio:

Kristin Reiche is a Professor of Digital Molecular Medicine at IT:U. Through her research focus on digital solutions and computational models that integrate data from molecular biology, she aims to make medicine more personalized and effective.

She studied Computer Science (major) and Medical Informatics (minor) at Leipzig University, where she also completed her PhD in Bioinformatics.

Kristin Reiche is Head of the Department of Medical Bioinformatics at the Fraunhofer Institute for Cell Therapy and Immunology (IZI), a Principal Investigator at the Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI), and a Fellow at the School of Embedded Composite Artificial Intelligence (SECAI). She is an Associate Editor at BMC Bioinformatics, founding member of the T2Evolve Association (T2Evolve e.V.), and a member of the European Association for Cancer Research (EACR). Kristin Reiche serves as Principal Investigator on multiple research projects and coordinates the Horizon Europe project CERTAINTY — A cellular immunotherapy virtual twin for personalised cancer treatment.

“Only through interdisciplinary collaboration can we make precision medicine a reality for all”.
Kristin Reiche.

Publications

Title

Year

Anti-CD4 Antibody–modulated Transplants for GvHD Prevention in Haematopoietic Cell Transplantation

2026

Kristina Roth, Dennis Loeffler, Conny Blumert, Alexander Scholz, Kristin Reiche, Marcus…
Blood
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Authors:	Kristina Roth, Dennis Loeffler, Conny Blumert, Alexander Scholz, Kristin Reiche, Marcus Bauer, Claudia Wickenhauser, Denise Schiefer, Nadja Hilger, André-René Blaudszun, Jenifer Thees, Jasmin Walter, Sandy U Tretbar, Ulrike Koehl, Stephan Fricke, Ulrich Blache
Publication date:	01/29/2026
Journal:	Blood
Publisher:	Content Repository Only!
Description:	Graft-versus-host disease (GvHD) remains one of the major complications following allogeneic haematopoietic cell transplantation. Currently, immunosuppressants are used for GvHD prophylaxis and treatment in the majority of transplant recipients. Due to their systemic, non-specific mode of action, this treatment regimen is frequently associated with severe toxic side effects, opportunistic infections as well as cancer relapse when treating haematologic malignancies. By using short-term ex vivo modulation of haematopoietic cell transplants with the anti-human CD4 antibody MAX.16H5, we have developed a novel immune tolerance-inducing strategy enabling potent GvHD prevention. Functional in vitro assays and transcriptome profiling data suggest impaired TCR signalling and a shift towards an IL-10-dependent regulatory phenotype as the primary mechanism of action of anti-human CD4 antibody treatment …

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Deep learning-aided inter-species-comparison reveals shared and distinct molecular patterns in cynomolgus monkey and humans following non-specific T cell activation

2025

Vincent D Friedrich, Kari Neier, Kristina Müller, Birgit Fogal, Zuzana Loncova, Michael…
Frontiers in Immunology 16, 1603716
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Authors:	Vincent D Friedrich, Kari Neier, Kristina Müller, Birgit Fogal, Zuzana Loncova, Michael Rade, Muhammad Shoaib, Ulrike Köhl, Kathleen Hoyt, Parimal Pande, Lily Blanchard, Ernest Raymond, Markus Scholz, Kristin Reiche, Holger Kirsten
Publication date:	12/12/2025
Journal:	Frontiers in Immunology
Volume:	16
Pages:	1603716
Publisher:	Frontiers Media SA
Description:	The early phase of drug development relies on the examination of the efficacy and safety of therapeutic agents in animal models. Due to their close genetic and physiological relation to humans, cynomolgus monkeys (Macaca fascicularis) are a promising animal model in preclinical studies investigating the immune system. However, the shared and divergent characteristics of the immune response at the molecular level are not yet fully understood, which makes transferring findings from these studies to human conditions challenging. Here, we demonstrate a cross-species analysis pipeline using single-cell transcriptomics (scRNA-seq) data from peripheral blood mononuclear cells (PBMCs), investigating the transcriptomic response in cynomolgus monkeys and healthy humans following anti-CD3/anti-CD28 T cell activation. For this, PBMCs were collected at baseline, stimulated in vitro, and measured at 0 hours, at 6 hours and at 24 hours post-stimulation, with two biological replicates per species. The analysis integrates Variational Autoencoder (VAE)-based deep learning, cell-cell communication, differential gene expression, and pathway enrichment for an in-depth data exploration. We observed shared molecular patterns across species in the transition from innate to adaptive immune response, such as the increase of CD4+ T cell proportion and the reduction of CD14+CD16- and CD14lowCD16+ monocytes. Specific transcriptional clusters related to metabolic reprogramming emerged in CD8+ T cells and related to inflammatory and antiviral programs in NK cells at 24 hours post-stimulation in both species, with stronger regulation of pathways …
Resources:	[HTML] from frontiersin.org

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