Laurens Lehner

ORCID: 0000-0001-7690-7168
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About
Contact & Profiles
Research Areas
  • IL-33, ST2, and ILC Pathways
  • Inflammasome and immune disorders
  • 3D Modeling in Geospatial Applications
  • Gene expression and cancer classification
  • Immune Cell Function and Interaction
  • Biomedical and Engineering Education
  • Single-cell and spatial transcriptomics
  • Autoimmune and Inflammatory Disorders Research
  • Geographic Information Systems Studies
  • Bioinformatics and Genomic Networks

Helmholtz Zentrum München
2024

Leibniz-Institut für Naturstoff-Forschung und Infektionsbiologie e. V. - Hans-Knöll-Institut (HKI)
2022-2023

Abstract Spatially resolved omics technologies are transforming our understanding of biological tissues. However, the handling uni- and multimodal spatial datasets remains a challenge owing to large data volumes, heterogeneity types lack flexible, spatially aware structures. Here we introduce SpatialData, framework that establishes unified extensible multiplatform file-format, lazy representation larger-than-memory data, transformations alignment common coordinate systems. SpatialData...

10.1038/s41592-024-02212-x article EN cc-by Nature Methods 2024-03-20

Abstract It has been shown that innate immune responses can adopt adaptive properties such as memory. Whether T cells utilize signaling pathways to diversify their repertoire of effector functions is unknown. Gasdermin E (GSDME) a membrane pore-forming molecule execute pyroptotic cell death and thus serve potential cancer checkpoint. In the present study, we show human express GSDME and, surprisingly, this expression associated with durable viability repurposed for release alarmin...

10.1038/s41590-022-01386-w article EN cc-by Nature Immunology 2023-01-05

This pre-print is aimed at sharing the results of "1st SpatialData workshop," an in-person event organized by team and funded Chan Zuckerberg Initiative (CZI) that brought together expertise from different fields, including methods developers a variety tools for single-cell spatial omics. The purpose to explore new directions advance field By leveraging multiple programming languages, Python, R, JavaScript, focuses on four central hackathon tracks: R interoperability: track aims enhance...

10.37044/osf.io/8ck3e preprint EN 2024-12-20
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