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Harms, M.

Publications and source records attributed to Harms, M..

17 recordsLinked to original sources

AEGIS reveals epitope- and clone-resolved convergence of CNS B and T cell autoreactivity in ROHHAD

Autoimmune diseases arise when B and T lymphocytes lose tolerance to self. Yet in most disorders, the underlying molecular determinants, including autoantibodies, epitopes and lymphocyte clones that drive tissue injury remain undefined. Rapid-onset obesity with hypothalamic dysfunction, hypoventilation and autonomic dysregulation (ROHHAD) is a rare and often fatal pediatric neuroendocrine syndrome with strong evidence of antigen-driven paraneoplastic autoimmunity, including association with the intracellular autoantigen ZSCAN1. However, the effector immune circuit and the epitope-level determinants operating within the hypothalamus and brainstem have remained unknown. To address this challenge in ROHHAD and more broadly in autoimmune disease, we developed the Autoimmune Epitope and immunoGlobulin/Immune-receptor identification System (AEGIS), an integrated framework that links immune repertoires to their cognate self-epitopes. AEGIS combines B cell and T cell receptor profiling from sites of tissue injury with high-resolution epitope mapping, direct sequencing of antigen-specific autoantibodies, in silico antibody-antigen folding, selection, and T cell antigen discovery. Applied to a deeply phenotyped child with ROHHAD, AEGIS revealed a compartmentalized, clonally restricted immune response in which brain-deposited IgG and expanded cerebrospinal fluid B cell and CD4 T cell clonotypes converged on shared ZSCAN1 epitopes, resolved to minimal determinants and peptide-MHC ligands. These findings provide a clone- and epitope-linked mechanistic map of ROHHAD autoimmunity and establish a generalizable framework for identifying candidate pathogenic clones and antigens across diverse autoimmune diseases.

immunology↗

Requirement of ClpX for CtsR dissociation from its operator elements upon heat stress in Bacillus subtilis

A sudden increase in temperature triggers Bacillus subtilis to activate expression of stress-specific heat shock proteins of the CtsR (class three stress gene repressor) regulon to withstand the adverse conditions. Key members of this regulon, such as ATPases, proteolytic subunits and their adaptors, which can assemble to the functional Clp protease system, perform crucial roles in maintaining cellular proteostasis, while their transcription is repressed by CtsR during vegetative growth. Upon heat shock, a conformational change in a thermosensing glycine-rich loop causes CtsR to detach from its DNA operators, enabling the transcriptional activation of the regulon. Novel data from a clpX-deficient strain demonstrated that in addition, the presence of the ATPase ClpX is essential for the CtsR dissociation from its DNA binding site. To further elucidate this role of ClpX, we constructed a conditional clpX strain, in which clpX induction is decoupled from its native transcriptional control. This conditional expression system mimicked a clpX-deficient phenotype under non-inducing conditions and restored the wild-type phenotype upon induction. Our results indicate that the full induction of the CtsR regulon, particularly clpE, requires both heat and the presence of ClpX, thereby extending the current model for the transcriptional activation of genes repressed by CtsR.

microbiology↗

Novel peptide targeting CXCR4 disrupt tumor-stroma crosstalk to eliminate migrating cancer stem cells

Pancreatic ductal adenocarcinoma (PDAC) is one of the most aggressive and metastatic malignancies worldwide. Migrating cancer stem cells (miCSCs) marked by CD133+CXCR4+ expression drives metastasis but lacks effective drug targets. Here, we show that activated pancreatic stellate cells secrete the CXCR4 ligand CXCL12 to foster stemness, epithelial-to-mesenchymal transition (EMT), and chemoresistance. Protein interaction network analyses links CXCL12/CXCR4 signaling axis and the downstream transcription factor BMI1. Knockdown experiments confirmed the BMI1s role in (mi)CSCs maintenance and survival. Novel CXCR4 inhibitors, i.e., the endogenous human peptide EPI-X4 and its derivatives (e.g., JM#21) strongly inhibited the in vitro migration of miCSCs. In particular, the most potent EPI-X4 derivate JM#21 sufficiently suppressed EMT, stemness, and self-renewal of human PDAC cell lines. In addition, JM#21 sensitized cell lines towards gemcitabine and paclitaxel. Overall, our study reveals that (mi)CSCs are enhanced and maintained via a tumor-stroma crosstalk through BMI1, ultimately promoting metastases and therapeutic resistance in PDAC. Peptide targeting of the CXCL12/CXCR4/BMI1 signaling axis via JM#21 could enhance PDAC combination therapies, offering a promising strategy against this deadly cancer. SynopsisThe study identifies a tumor-stroma interaction mediated by pancreatic stellate cells (PSCs) secreting CXCL12, which binds to CXCR4 on (mi)CSCs, fostering stemness, epithelial-to-mesenchymal transition (EMT), and chemoresistance. The CXCL12/CXCR4 axis activates the downstream BMI1 transcription factor, crucial for migration and stemness maintenance. O_FIG O_LINKSMALLFIG WIDTH=173 HEIGHT=200 SRC="FIGDIR/small/641126v1_ufig1.gif" ALT="Figure 1"> View larger version (50K): org.highwire.dtl.DTLVardef@14e117org.highwire.dtl.DTLVardef@c5db35org.highwire.dtl.DTLVardef@1ba7d2dorg.highwire.dtl.DTLVardef@702ccf_HPS_FORMAT_FIGEXP M_FIG C_FIG O_LICXCL12 enhances (mi)CSC populations and metastatic potential through CXCR4 signaling. C_LIO_LIBMI1 is identified as a pivotal downstream effector linking CXCR4 to EMT and stemness. C_LIO_LIJM#21 effectively blocks CXCL12-induced migration, EMT, and stemness in vitro, demonstrating superior efficacy compared to other CXCR4 inhibitors. C_LIO_LIEncapsulation of JM#21 in silica nanoparticles enhances its stability and delivery, reducing chemoresistance and miCSC populations in co-culture systems. C_LIO_LICombining JM#21 with chemotherapy significantly impairs colony formation and CSC-mediated drug resistance. C_LI

cancer biology↗

GPR15LG binds CXCR4 and synergistically modulates CXCL12-induced cell signaling and migration

GPR15LG, a chemokine-like ligand for the G-protein coupled receptor 15 (GPR15), is abundantly expressed in the gastrointestinal mucosa and inflamed skin. Emerging evidence suggests its involvement in inflammatory disorders and cancers. This study investigates the effects of GPR15LG on the signaling and downstream functions of C-X-C chemokine receptor type 4 (CXCR4), which plays a critical role in immune cell trafficking and cancer metastasis. The results demonstrate that GPR15LG binds to the orthosteric site of CXCR4, modulating downstream signaling in a context-dependent manner. Specifically, GPR15LG enhances CXCL12-mediated CXCR4 signaling synergistically, promoting wound healing and cell migration across various cell types, including CD4+ T cells and cancer cells. These findings underscore the role of GPR15LG in inflammation and metastasis, offering potential therapeutic avenues for CXCR4-mediated diseases. TeaserGPR15LG binds CXCR4 thereby modulating CXCL12/CXCR4 signaling and immune and cancer cell trafficking.

cell biology↗

Antigen-specificity of clonally-enriched CD8+ T cells in multiple sclerosis

CD8+ T cells are the dominant lymphocyte population in multiple sclerosis (MS) lesions where they are highly clonally expanded. The clonal identity, function, and antigen specificity of CD8+ T cells in MS are not well understood. Here we report a comprehensive single-cell RNA-seq and T cell receptor (TCR)-seq analysis of the cerebrospinal fluid (CSF) and blood from a cohort of treatment-naive MS patients and control participants. A small subset of highly expanded and activated CD8+ T cells were enriched in the CSF in MS that displayed high activation, cytotoxicity and tissue-homing transcriptional profiles. Using a combination of unbiased and targeted antigen discovery approaches, MS-derived CD8+ T cell clonotypes recognizing Epstein-Barr virus (EBV) antigens and multiple novel mimotopes were identified. These findings shed vital insight into the role of CD8+ T cells in MS and pave the way towards disease biomarkers and therapeutic targets. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=131 SRC="FIGDIR/small/611010v2_ufig1.gif" ALT="Figure 1"> View larger version (30K): org.highwire.dtl.DTLVardef@1a0b738org.highwire.dtl.DTLVardef@5cf5c2org.highwire.dtl.DTLVardef@10abdccorg.highwire.dtl.DTLVardef@32c7b2_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOGraphical SummaryC_FLOATNO Created in BioRender. Sabatino, J. (2024) BioRender.com/e66l598 C_FIG

immunology↗

InCellCryst - A streamlined approach to structure elucidation using in cellulo crystallized recombinant proteins

With the advent of serial X-ray crystallography on microfocus beamlines at free-electron laser and synchrotron facilities, the demand for protein microcrystals has significantly risen in recent years. However, by conventional methods extensive efforts are usually required to purify proteins and produce sufficiently homogeneous microcrystals. Here, we present InCellCryst, an advanced pipeline for producing homogeneous microcrystals directly within living insect cells. Our baculovirus-based cloning system enables the production of crystals from completely unmodified proteins as well as the screening of different cellular compartments to maximize chances for protein crystallization. By optimizing cloning procedures, recombinant virus production, crystallization and crystal detection, X-ray diffraction data can be collected 24 days after the start of target gene cloning. Furthermore, new strategies for serial synchrotron diffraction data collection directly from crystals within living cells abolish the need to purify the recombinant protein or the associated microcrystals.

biophysics↗

Localizing Rare-Variant Association Regions via Multiple Testing Embedded in an Aggregation Tree

Rare variants (RVs) genetic association studies enable researchers to uncover the variation in phenotypic traits left unexplained by common variation. Traditional single-variant analysis lacks power; thus, researchers have developed various methods to aggregate the effects of RVs across genomic regions to study their collective impact. Some existing methods utilize a static delineation of genomic regions, often resulting in suboptimal effect aggregation, as neutral subregions within the test region will result in an attenuation of signal. Other methods use varying windows to search for signals but often result in long regions containing many neutral RVs. To pinpoint short genomic regions enriched for disease-associated RVs, we developed a novel method, DYNATE (DYNamic Aggregation TEsting). DYNATE dynamically and hierarchically aggregates smaller genomic regions into larger ones and performs multiple testing for disease associations with controlled weighted false discovery rate. Extensive numerical simulations demonstrate the superior performance of DYNATE under various scenarios compared to existing methods. Importantly, DYNATE-identified regions have higher enrichment levels of disease-associated RVs. We applied DYNATE to an amyotrophic lateral sclerosis (ALS) study and identified a new gene, EPG5, harboringpossibly pathogenic mutations.

genetics↗

Targeting of the human nasal microbiota by secretory IgA antibodies

The human nasal microbiome is critical for health and disease, since it is associated with the occurrence of respiratory disorders and hosting of opportunistic pathogens. The host therefore protects this vulnerable mucosal barrier from infection and maintains homeostasis of the microbiota through various mechanisms, including the production of secretory IgA (sIgA) antibodies. However, we currently lack a comprehensive understanding of how sIgA affects the nasal microbiota. Through IgA-seq analysis of nasal microbiome samples and sIgA deposition experiments using nasal sIgA from healthy volunteers, we identified which bacterial genera and species are targeted by sIgA on the level of the individual host. We observed that the amount of sIgA secreted into the nasal mucosa by the host varied substantially and was negatively correlated with the bacterial density. The interaction between mucosal sIgA antibodies and the nasal microbiome was highly individual, and was not dependent on the microbiome composition, or the age or gender of the host. Importantly, we showed that for the clinically relevant opportunistic pathogen S. aureus, sIgA reactivity was in part the result of epitope-independent interaction of sIgA with the antibody binding protein SpA through binding of sIgA Fab regions. This study thereby offers a first comprehensive insight of targeting of nasal microbiota by sIgA antibodies, which may help to better understand the shaping and homeostasis of the nasal microbiome by the host and offer new targets for intervention in disease-associated microbiota.

microbiology↗

QuNex -- An Integrative Platform forReproducible Neuroimaging Analytics

Neuroimaging technology has experienced explosive growth and transformed the study of neural mechanisms across health and disease. However, given the diversity of sophisticated tools for handling neuroimaging data, the field faces challenges in method integration (1-3), particularly across multiple modalities and species. Specifically, researchers often have to rely on siloed approaches which limit reproducibility, with idiosyncratic data organization and limited software interoperability. To address these challenges, we have developed Quantitative Neuroimaging Environment & Toolbox (QuNex), a platform for consistent end-to-end processing and analytics. QuNex provides several novel functionalities for neuroimaging analyses, including a "turnkey" command for the reproducible deployment of custom workflows, from onboarding raw data to generating analytic features. The platform enables inter-operable integration of multi-modal, community-developed neuroimaging software through an extension framework with a software development kit (SDK) for seamless integration of community tools. Critically, it supports high-throughput, parallel processing in high-performance compute environments, either locally or in the cloud. Notably, QuNex has successfully processed over 10,000 scans across neuroimaging consortia (4), including multiple clinical datasets. Moreover, QuNex enables integration of human and non-human workflows via a cohesive translational platform. Collectively, this effort stands to significantly impact neuroimaging method integration across acquisition approaches, pipelines, datasets, computational environments, and species. Building on this platform will enable more rapid, scalable, and reproducible impact of neuroimaging technology across health and disease.

neuroscience↗

Acute myeloid leukemia cells are targeted by the naturally occurring CXCR4 antagonist EPI-X4

This manuscript has been withdrawn by the authors as no consent could be achieved with regard to data contribution. Based on this no agreement on authorship and/or listing in the acknowledgement section was reached. Therefore, the authors do not wish this work to be cited as reference for the project. If you have any questions, please contact the corresponding author.

cancer biology↗

Natural Cystatin C fragments inhibit GPR15-mediated HIV and SIV infection without interfering with GPR15L signaling

GPR15 is a G protein-coupled receptor proposed to play a role in mucosal immunity that also serves as entry cofactor for HIV and SIV. To discover novel endogenous GPR15 ligands, we screened a hemofiltrate-derived peptide library for inhibitors of GPR15-mediated SIV infection. Our approach identified a C-terminal fragment of Cystatin C (CysC95-146) that specifically inhibits GPR15-dependent HIV-1, HIV-2 and SIV infection. In contrast, GPR15L, the chemokine ligand of GPR15, failed to inhibit virus infection. We found that Cystatin C fragments preventing GPR15-mediated viral entry do not interfere with GPR15L signaling and are generated by proteases activated at sites of inflammation. The antiretroviral activity of CysC95-146 was confirmed in primary CD4+ T cells and is conserved in simian hosts of SIV infection. Thus, we identified a potent endogenous inhibitor of GPR15-mediated HIV and SIV infection that does not interfere with the physiological function of this G protein-coupled receptor.

microbiology↗

Biomolecular models of EPI-X4 binding to CXCR4 allow the rational optimization of peptides with therapeutic potential

The Endogenous Peptide Inhibitor of CXCR4 (EPI-X4) is a body-own fragment of albumin and specific antagonist of the CXC-motif-chemokine receptor 4 (CXCR4). CXCR4 signaling is induced by its sole chemokine ligand CXCL12 and is involved in a plethora of functions including cell homing, differentiation, survival and angiogenesis. Consequently, dysregulation of CXCR4 is involved in a variety of disorders, such as cancer or inflammatory diseases, making CXCR4 an attractive drug target. EPI-X4 and derivatives with increased CXCR4 binding affinities represent promising leads as CXCR4 antagonists and have shown therapeutic activity in mouse models of inflammatory diseases. However, it is currently unclear how EPI-X4 and its derivatives interact with CXCR4. Here, by combining biomolecular simulations with experimental mutagenesis and activity studies we investigated the binding behavior of EPI-X4 to CXCR4 at the molecular level. Our work allowed us to show that the EPI-X4 peptide interacts primarily in the minor pocket of CXCR4 through its N-terminal residues. The biomolecular interactions highlighted by the computational studies are in good agreement with the experimental mutagenesis data. Moreover, we found that the N-terminal seven amino-acids of EPI-X4 (a 16-mer) and its improved derivatives (12-mers) are sufficient for CXCR4 binding, which led to the development of shorter leads with optimized CXCR4 antagonizing properties. Collectively, we here established how EPI-X4 binds to its receptor and used this knowledge for rational drug design. The new peptide variants developed by us are more potent in terms of inhibiting CXCR4-downstream signaling and cancer cell migration, without toxic effects.

molecular biology↗

CXCR4 signaling is counteracted by the naturally occurring CXCR4 antagonist EPI-X 4 in Waldenstrom Macroglobulinemia

CXCR4 expression and downstream signaling have been identified as key factors in malignant hematopoiesis. Thus, up to 40% of all patients with Waldenstroms Macroglobulinemia (WM) carry an activating mutation of CXCR4 that leads to a more aggressive clinical course and inferior outcome upon treatment with the Brutons tyrosine kinase inhibitor ibrutinib. Nevertheless, little is known about physiological mechanisms counteracting CXCR4 signaling in hematopoietic neoplasms. Recently, the endogenous human peptide EPI-X4 was identified as a natural CXCR4 antagonist that effectively blocks CXCL12-mediated receptor internalization and suppresses the migration and invasion of cancer cells towards a CXCL12 gradient. Here, we demonstrate that EPI-X4 efficiently impairs growth of WM cells in vitro and in vivo and blocks their migration towards CXCL12. The CXCR4 inhibitory activity of EPI-X4 is accompanied by decreased expression of genes involved in MAPK signaling and energy metabolism. Notably, the anti-WM activity of EPI-X4 could be further augmented by the rational design of EPI-X4 derivatives showing higher binding affinity to CXCR4. In summary, these data demonstrate that a naturally occurring anti-CXCR4 peptide is able to interfere with WM growth, and that optimized derivatives of EPI-X4 may represent a promising approach in suppressing growth promoting CXCR4 signaling in WM.

cancer biology↗

Microtiter plate-based antibody-competition assay to determine binding affinities and plasma/blood stability of CXCR4 ligands

C-X-C chemokine receptor type 4 (CXCR4) is involved in several intractable disease processes, including HIV infection, cancer cell metastasis, leukemia cell progression, rheumatoid arthritis, asthma and pulmonary fibrosis. Thus, CXCR4 represents a promising drug target and several CXCR4 antagonizing agents are in preclinical or clinical development. Important parameters in drug lead evaluation are determination of binding affinities to the receptor and assessment of their stability and activity in plasma or blood of animals and humans. Here, we designed a microtiter plate-based CXCR4 antibody competition assay that enables to measure inhibitory concentrations (IC50 values) and affinity constants (Ki values) of CXCR4 targeting drugs. The assay is based on the observation that most if not all CXCR4 antagonists compete with binding of the fluorescence-tagged CXCR4 antibody 12G5 to the receptor. We demonstrate that this antibody-competition assay allows a convenient and cheap determination of binding affinities of various CXCR4 antagonists in living cells within just 3 hours. Moreover, the assay can be performed in the presence of high concentrations of physiologically relevant body fluids, and thus is a useful readout to evaluate stability (i.e. half-life) of CXCR4 ligands in serum/plasma, and even whole human and mouse blood ex vivo. Thus, this optimized 12G5 antibody competition assay allows a robust and convenient determination and calculation of various important pharmacological parameters of CXCR4 receptor-drug interaction and may not only foster future drug development but also animal welfare by reducing the number of experimental animals.

immunology↗

Thought experiment: Decoding cognitive processes from the fMRI data of one individual

Cognitive processes, such as the generation of language, can be mapped onto the brain using fMRI. These maps can in turn be used for decoding the respective processes from the brain activation patterns. Given individual variations in brain anatomy and organization, analyzes on the level of the single person are important to improve our understanding of how cognitive processes correspond to patterns of brain activity. They also allow to advance clinical applications of fMRI, because in the clinical setting making diagnoses for single cases is imperative. In the present study, we used mental imagery tasks to investigate language production, motor functions, visuo-spatial memory, face processing, and resting-state activity in a single person. Analysis methods were based on similarity metrics, including correlations between training and test data, as well as correlations with maps from the NeuroSynth meta-analysis. The goal was to make accurate predictions regarding the cognitive domain (e.g. language) and the specific content (e.g. animal names) of single 30-second blocks. Four teams used the dataset, each blinded regarding the true labels of the test data. Results showed that the similarity metrics allowed to reach the highest degrees of accuracy when predicting the cognitive domain of a block. Overall, 23 of the 25 test blocks could be correctly predicted by three of the four teams. Excluding the unspecific rest condition, up to 10 out of 20 blocks could be successfully decoded regarding their specific content. The study shows how the information contained in a single fMRI session and in each of its single blocks can allow to draw inferences about the cognitive processes an individual engaged in. Simple methods like correlations between blocks of fMRI data can serve as highly reliable approaches for cognitive decoding. We discuss the implications of our results in the context of clinical fMRI applications, with a focus on how decoding can support functional localization.

neuroscience↗

Enrichment of rare protein truncating variants in amyotrophic lateral sclerosis patients

To discover novel genetic risk factors underlying amyotrophic lateral sclerosis (ALS), we aggregated exomes from 3,864 cases and 7,839 ancestry matched controls. We observed a significant excess of ultra-rare and rare protein-truncating variants (PTV) among ALS cases, which was primarily concentrated in constrained genes; however, a significant enrichment in PTVs does persist in the remaining exome. Through gene level analyses, known ALS genes, SOD1, NEK1, and FUS, were the most strongly associated with disease status. We also observed suggestive statistical evidence for multiple novel genes including DNAJC7, which is a highly constrained gene and a member of the heat shock protein family (HSP40). HSP40 proteins, along with HSP70 proteins, facilitate protein homeostasis, such as folding of newly synthesized polypeptides, and clearance of degraded proteins. When these processes are not regulated, misfolding and accumulation of degraded proteins can occur leading to aberrant protein aggregation, one of the pathological hallmarks of neurodegeneration.

genomics↗

pytc: a python package for analysis of Isothermal Titration Calorimetry experiments

Here we describe pytc, an open-source Python-package for global fits of thermodynamic models to multiple Isothermal Titration Calorimetry experiments. Key features include simplicity, the ability to implement new thermodynamic models, a robust maximum likelihood fitter, a fast Bayesian Markov-Chain Monte Carlo sampler, rigorous implementation, extensive documentation, and full cross-platform compatibility. pytc can be used as either a programming API or with a GUI. It is available for download at: https://github.com/harmslab/pytc.

biophysics↗