Biology subjects

Bichmann, L.

Publications and source records attributed to Bichmann, L..

7 recordsLinked to original sources

bioRxiv2026

MEA-LINK identifies the CCL4-CCR5 axis in neuronal hyperactivity control by human microglia

Microglia, the resident immune cells of the brain, act along a spectrum to maintain CNS homeostasis, respond to perturbations, and control neuronal activity. Disentangling the molecular mechanisms of human microglia-neuron crosstalk remains challenging due to the context-dependent, dynamic nature of their interaction. We introduce MEA-LINK, a systems-approach leveraging natural variation to screen for immune modulators of neuronal activity. This multi-modal platform integrates human induced pluripotent stem cell (hiPSC) technology with micro-electrode array (MEA) recordings and proteomic analyses of secreted immune factors, allowing for longitudinal samples and correlations across modalities. We applied MEA-LINK to explore microglia-neuron interactions during development and hyperactivity challenges. We show that human microglia accelerate neuronal network development and rescue hyperactive network phenotypes. Linking the secretome adaptations to neuronal network activity variations, we identified CCL4 as a top candidate in microglia-mediated hyperactivity control. Then, we functionally validated the context-dependent role of microglial CCL4 to neuronal CCR5 signaling in human neuronal networks. Our findings support a neuron-specific function of chemokines and their receptors in the brain and provide a new perspective for immune signaling in neuronal hyperactivity control. The MEA-LINK platform thus offers a foundation for comprehensive, systematic studies of human microglia-neuron interactions. HighlightsO_LIMEA-LINK integrates micro-electrode array recordings with proteomics of longitudinal samples to identify immune modulators of neuronal activity. C_LIO_LIHuman microglia rescue neuronal hyperactivity induced by pharmacological and genetic challenges. C_LIO_LIMicroglial CCL4 dampens neuronal activity via CCR5 signaling in a context-dependent manner. C_LI Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=147 SRC="FIGDIR/small/703799v1_ufig1.gif" ALT="Figure 1"> View larger version (39K): org.highwire.dtl.DTLVardef@18e44f7org.highwire.dtl.DTLVardef@151c450org.highwire.dtl.DTLVardef@12f7b89org.highwire.dtl.DTLVardef@57651b_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗

bioRxiv2025

Fetal and maternal immune cells exhibit tandem maturation across gestation and dysregulation in preterm birth

Appropriate regulation of maternal immune cells in the pregnant uterus is essential for successful pregnancy, yet the impact of immune cells in placental villi (PV) on placental health remain understudied. We enriched immune cells from term and preterm PV for transcriptomic and functional analyses. Maternal and fetal immune cells were abundant, with maternal chimerism increasing at term. Fetal lymphocytes displayed enhanced prostaglandin-D signatures, while maternal lymphocytes were enriched for antigen presentation pathways. Inflammatory cytokines and expanded maternal and fetal T cell clones peaked at term but did not induce cytotoxicity in placental organoids, whereas expanded T cells from idiopathic preterm cases impaired trophoblast growth and endocrine function ex vivo. These findings reveal significant immune chimerism within PV in both health and disease yet implicate PV T cells in idiopathic preterm birth. One Sentence SummaryFetal-maternal immune chimerism is characteristic of all placental villi, yet unchecked T cells and cytokines can hinder trophoblast growth and potentially precipitate preterm birth.

immunology↗

bioRxiv2020

DIAproteomics: A multi-functional data analysis pipeline for data-independent-acquisition proteomics and peptidomics

Data-independent acquisition (DIA) is becoming a leading analysis method in biomedical mass spectrometry. Main advantages include greater reproducibility, sensitivity and dynamic range compared to data-dependent acquisition (DDA). However, data analysis is complex and often requires expert knowledge when dealing with large-scale data sets. Here we present DIAproteomics a multi-functional, automated high-throughput pipeline implemented in Nextflow that allows to easily process proteomics and peptidomics DIA datasets on diverse compute infrastructures. Central components are well-established tools such as the OpenSwathWorkflow for DIA spectral library search and PyProphet for false discovery rate assessment. In addition, it provides options to generate spectral libraries from existing DDA data and carry out retention time and chromatogram alignment. The output includes annotated tables and diagnostic visualizations from statistical post-processing and computation of fold-changes across pairwise conditions, predefined in an experimental design. DIAproteomics is open-source software and available under a permissive license to the scientific community at https://www.openms.de/diaproteomics/.

bioinformatics↗

bioRxiv2020

The Global Architecture Shaping the Heterogeneity and Tissue-Dependency of the MHC Class I Immunopeptidome is Evolutionarily Conserved

Understanding the molecular principles that govern the composition of the mammalian MHC-I immunopeptidome (MHC-Ii) across different primary tissues is fundamentally important to predict how T cell respond in different contexts in vivo. Here, we performed a global analysis of the mammalian MHC-Ii from 29 and 19 primary human and mouse tissues, respectively. First, we observed that different HLA-A, -B and -C allotypes do not contribute evenly to the global composition of the MHC-Ii across multiple human tissues. Second, we found that peptides that are presented in a tissue-dependent and -independent manner share very distinct properties. Third, we discovered that proteins that are evolutionarily hyperconserved represent the primary source of the MHC-Ii at the organism-wide scale. Finally, we uncovered new components of the antigen processing and presentation network that may drive the high level of heterogeneity of the MHC-Ii across different tissues in mammals. This study opens up new avenues toward a system-wide understanding of antigen presentation in vivo and may serve as ground work to understand tissue-dependent T cell responses in autoimmunity, infectious diseases and cancer.

immunology↗

bioRxiv2020

Universal Spectrum Explorer: A standalone (web-)application for cross-resource spectrum comparison

Here we present the Universal Spectrum Explorer (USE), a web-based tool based on IPSA for cross-resource (peptide) spectrum visualization and comparison (https://www.proteomicsdb.org/use/). Mass spectra under investigation can either be provided manually by the user (table format), or automatically retrieved from online repositories supporting access to spectral data via the universal spectrum identifier (USI), or requested from other resources and services implementing a newly designed REST interface. As a proof of principle, we implemented such an interface in ProteomicsDB thereby allowing the retrieval of spectra acquired within the ProteomeTools project or real-time prediction of tandem mass spectra from the deep learning framework Prosit. Annotated mirror spectrum plots can be exported from the USE as editable scalable high quality vector graphics. The USE was designed and implemented with minimal external dependencies allowing local usage and integration into other websites (https://github.com/kusterlab/universal_spectrum_explorer).

bioinformatics↗

bioRxiv2020

An innovative approach for HLA typing, molecular tumor testing and the validation of tumor exclusive antigens

DisclaimerThis manuscript has been withdrawn by the corresponding author, as it was submitted and made public in bioRxiv without knowledge and the full consent of all the authors listed. The co-authors are therefore not responsible for the contents of this manuscript. For this reason, the submitting author has chosen to withdraw this preprint as a precautionary measure and would like to state that this work should not be cited as a reference. For any related questions that may arise, please contact the corresponding author.Competing Interest StatementThe authors have declared no competing interest.

immunology↗

bioRxiv2019

The HLA Ligand Atlas. A resource of natural HLA ligands presented on benign tissues.

The human leukocyte antigen (HLA) complex controls adaptive immunity by presenting defined fractions of the intracellular and extracellular protein content to immune cells. Here, we describe the HLA Ligand Atlas, an extensive collection of mostly matched HLA-I and -II ligandomes from 225 benign samples (29 tissues, 21 subjects). The initial release covers 51 HLA-I and 86 HLA-II allotypes presenting 89,853 HLA-I- and 140,861 HLA-II ligands. We observe that the immunopeptidomes differ considerably between tissues and individuals on both source protein and HLA-ligand level. 1,407 HLA-I ligands stem from non-canonical genomic regions. We highlight the importance of comparatively analyzing both benign and malignant tissues to inform tumor association, based on a case study in three glioblastoma patients. The resource provides insights into applied and basic immune-associated questions in the context of cancer immunotherapy, infection, transplantation, allergy, and autoimmunity. It is publicly available at www.hla-ligand-atlas.org.

immunology↗