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Koch, P.

Publications and source records attributed to Koch, P..

At least 19 recordsLinked to original sources

A defined 2D system for generating and expanding human basal radial glia from iPSCs

Basal radial glia (bRG) drive human cortical expansion but remain underrepresented in vitro. We established a defined and expandable 2D system for efficient generation of human bRG from iPSCs. These cells recapitulate canonical molecular signatures, hallmark somal translocation behaviours, intrinsic differentiation potential, and integration into organoid tissue. Network-based analyses identified PAK2 as a regulator of mitotic somal translocation, illustrating the systems utility for mechanistic interrogation of bRG biology.

neuroscience↗

Serotonergic innervation and cortical progenitor regulation in human brain assembloids

Neuromodulatory signaling is classically associated with mature neural circuits, yet serotonergic projections reach the developing cortex prior to circuit formation, suggesting a role in early human cortical development. Here, we establish a human raphe-cortical assembloid platform by generating iPSC-derived hindbrain-patterned raphe organoids that produce serotonergic neurons and form projections into fused cortical organoids, exhibiting endogenous serotonin release within developing cortical tissue. Using this system, we find that serotonergic innervation is associated with a shift toward progenitor-enriched states, accompanied by increased proliferative activity, activation of developmental transcriptional programs, and predicted signaling interactions targeting cortical progenitors and neurons. Consistent with these findings, cortical regions receiving serotonergic projections exhibit increased mitotic activity, and pharmacological modulation demonstrates selective proliferative responses in basal progenitor populations, consistent with observations in human fetal tissue. Together, this system provides a framework to investigate how early neuromodulatory input shapes human cortical development and developmental vulnerability.

neuroscience↗

Synthetic circRNAs employ IRES activity for translation in cells and in cell-free translation systems

Gene regulation through translation is critical for spatiotemporal protein expression. Internal ribosomal entry sites (IRESes) mediate mRNA-specific translation by recruiting ribosomes to 5' untranslated regions. Circular RNAs (circRNAs), naturally occurring and stable RNAs, are increasingly used as synthetic tools for sustained therapeutic protein translation by IRES-driven initiation. However, the functionality of different IRESes in synthetic circRNAs remains sparsely characterized. We systematically examine circRNA reporter translation by viral and cellular IRESes in human cells and in diverse in vitro translation systems. Improved circRNA purification by urea-PAGE and RNase R-treatment removes contaminants that induce RNA sensing. Viral CVB3 and HCV, as well as cellular Hoxa9, Chrdl1, Cofilin and c-Myc IRESes, effectively drive circRNA translation. We also establish circRNA translation in a recently developed human cell-free extract that recapitulates IRES-dependent regulation, and allows for precise engineering of HCV IRES-mediated translation. These findings inform IRES selection for synthetic circRNA translation relevant for circRNA-based medicine. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=80 SRC="FIGDIR/small/715045v2_ufig1.gif" ALT="Figure 1"> View larger version (39K): org.highwire.dtl.DTLVardef@1a60d08org.highwire.dtl.DTLVardef@a1a7d6org.highwire.dtl.DTLVardef@112042aorg.highwire.dtl.DTLVardef@1cf6c34_HPS_FORMAT_FIGEXP M_FIG C_FIG

biochemistry↗

Convergent molecular signatures of ageing and injury in the peripheral nervous system

Peripheral nervous system (PNS) ageing is marked by structural and functional decline, yet it remains unclear whether ageing constitutes a distinct biological programme or reflects a chronic injury-like state. To address this, we performed an unbiased, comparative molecular analysis of PNS ageing, neuroprotective dietary restriction (DR), and nerve injury. We conducted transcriptomic and proteomic profiling of peripheral nerves from young, old and geriatric mice fed ad libitum or subjected to long-term DR, and proteomics of nerves collected at multiple time points following injury. Age-associated molecular changes followed both linear and non-linear trajectories, and DR partially attenuated these ageing-related alterations. Notably, ageing-and injury-induced proteomic signatures showed considerable similarities, supporting the concept that an aged nerve resembles an injured nerve. Together, our study provides the most comprehensive molecular resource of PNS changes during ageing, DR, and injury, enabling the definition of key molecular signatures underlying PNS physiology. All datasets are integrated into the "PNS-omics Viewer", a Shiny web application designed to facilitate data mining of the herein presented datasets (tba).

neuroscience↗

Fast Single-Cell MALDI Imaging of Low-Mass Metabolites Reveals Cellular Activation Markers

Single-cell MALDI mass spectrometry imaging (MSI) of lipids and metabolites >200 Da has recently come to the forefront of biomedical research and chemical biology, but fast metabolome-preserving methods without paraformaldehyde fixation for analysis of low mass, hydrophilic metabolites (<200 Da) in large cell populations are lacking. Introducing giant unilamellar vesicles (GUVs) as MSI ground truth for cell-sized objects and Monte Carlo reference-based consensus clustering for data-dependent identification of cell subpopulations. The PRISM-MS (PRescan Imaging for Small Molecule - Mass Spectrometry) dual-scan MSI workflow is presented, enabling space-efficient and therefore faster lipid analysis in single GUVs and cells. Beyond lipids, PRISM-MS enables MSI and on-cell MS2-based identification of low-mass metabolites like amino acids or Krebs cycle intermediates involved in stimulus-dependent cell activation. The utility of PRISM-MS is demonstrated through the characterization of complex metabolome changes in lipopolysaccharide (LPS)-stimulated microglial cells and human-induced pluripotent stem cell-derived microglia. Translation of single cell results to endogenous microglia in organotypic hippocampal slice cultures indicates that LPS-activation involves changes of the itaconate-to-taurine ratio and alterations in neuron-to-glia glutamine-glutamate shuttling. The data suggests that PRISM-MS could serve as a standard method in single cell metabolomics, given its capability to characterize larger cell populations and low-mass metabolites.

bioinformatics↗

A multi-omics and cell type-specific characterization of the ventral striatum in human cocaine use disorder

Epigenome, transcriptome, and proteome analyses of postmortem brains have revealed initial molecular insights into cocaine use disorder (CUD). However, the inter-relationship between these -omics and the contribution of individual cell types remain largely unknown. We present an in-depth analysis of molecular changes in the ventral striatum in CUD at multi-omics and single-cell resolution. Integrative multi-omics analyses of microRNA-seq, RNA-seq, and proteomics datasets in 41 individuals and single-nuclei RNA-seq in a subset of 16 individuals revealed conserved deregulation of metabolic pathways, oxidative phosphorylation, and glutamatergic signaling. Cell type-specific analyses identified inverse metabolic pathway deregulation patterns in glial and neuronal cells, notably in astrocytes and medium spiny neurons (MSNs). Characterizing astrocyte-neuron crosstalk revealed altered glutamatergic and cell adhesion signaling in CUD. By applying a comprehensive multi-omics analytical framework, our study provides novel insights into CUD-associated molecular changes in the ventral striatum, suggesting astrocytes, MSNs, and their crosstalk as particularly perturbed in CUD.

neuroscience↗

Probing the glioma micro-environment: analysis using biopsy in combination with ultra-fast cyclic immunolabeling

The interaction between gliomas and the immune system is poorly understood and thus hindering development of effective immunotherapies for glioma patients. The immune response is highly variable during tumor development, and affected by therapies such as surgery, radiation, and chemotherapy. Currently, analysis of these local changes is difficult due to poor accessibility of the tumor and high-morbidity of sampling. In this study, we developed a model for repeat-biopsy in mice to study these local immunological changes over time. Using fine needle biopsy we were able to safely and repeatedly collect cells from intracranial tumors in mice. Ultra-fast cycling technology (FAST) was used for multi-cycle immunofluorescence of retrieved cells, and provided insights in the changing immune response over time. The combination of these techniques can be utilized to study changes in the immune response in glioma or other intracranial diseases over time, and in response to treatment within the same animal. TeaserFine-needle biopsy and ultra-fast cycling technology techniques were developed to allow for repeat sampling and analysis of glial tumors in mice.

cancer biology↗

Capture of Human Neuromesodermal and Posterior Neural Tube Axial Stem Cells

The spinal cord, nerves, and skeletal muscles arise from neuromesodermal progenitors (NMPs). We have developed a growth-factor screening strategy, utilizing ES and iPS cells, facilitating the indefinite self-renewal of two types of human axial stem cells (AxSCs), closely resembling mouse NMPs (NM-AxSCs) and posterior neural tube progenitors (N-AxSCs). Under specific regimens-- Wnt/CHIR99021, FGF2, and TGF-{beta} inhibitor SB431542 (CFS) and excluding FGF2 (CS), respectively--these AxSCs self-renew and sustain telomeres. Single cell transcriptomics and proteomics have revealed expression of posterior growth-zone and dorsoventral neural tube markers in NM-AxSCs, and correspondingly, differentiation to a wide spectrum of neural tube neurons and myocytes. N-AxSCs rapidly matured into dorsal sensory subsets and neural crest. Crucially, neither AxSC type produces teratomas, and analogous mouse NM-AxSCs integrated successfully into the neural tube and somites. Capturing of AxSCs from patient and GMP ES / iPS cells without transgenesis unveils ontogeny and promises modeling and therapy in neuropathies.

developmental biology↗

Transcriptome analysis of different strains of the turquoise killifish Nothobranchius furzeri identifies signatures associated with heritable lifespan differences

The killifish Nothobranchius furzeri is the shortest-lived vertebrate model organism and is characterized by laboratory strains differing in lifespan by more than a factor of two. The genetic architecture underlying this difference is complex and the pathways responsive remain elusive. We performed an analysis in N. furzeri of public transcritomic datasets comprehensive of four different tissues and one embryonic stage in two strains: the shorter-lived GRZ and the longer-lived MZM0410. Remarkably, the two strains differ in their transcriptome profile already at the embryonic stage. The short-lived strain GRZ shows an anticipated aging profile consistently in all tissues investigated, with differences in expression of aging-related genes detected already at sexual maturity. In addition, analysis of a longitudinal dataset revealed that genes whose expression is prognostic of longer lifespan at the individual level are also differentially expressed between strains at an early adult age, suggesting antagonistic pleiotropism.

genomics↗

The Tgf-β family member Gdf6Y determines the male sex in Nothobranchius furzeri by suppressing oogenesis-inducing genes

The short-lived African killifish Nothobranchius furzeri lives in seasonal freshwater ponds and has evolved remarkable traits to survive in this limited environment. One of those traits is a genetic XX/XY sex-determination system, which ensures an equal distribution of both sexes. Comparisons of female and male genomic sequences identified the Y-chromosomal copy of the TGF-{beta} family member gdf6 as the candidate male sex-determining (SD) gene, which was named gdf6Y in contrast to the X-chromosomal allele gdf6X. CRISPR/Cas9-mediated inactivation of gdf6Y in N. furzeri led to a complete male-to-female sex reversal in XY animals. The homozygous inactivation of gdf6X on the other hand led to a detrimental phenotype post-hatching. This phenotype was compensated by gdf6Y, revealing that the latter became the SD gene while retaining at least some of its original gdf6 function. Gdf6Y is expressed in testicular somatic cells already prior to hatching, where it represses the germ cell-intrinsic feminizing gene foxl2l. We have identified components of the TGF-{beta} signaling pathway, especially the inhibitor of DNA binding genes id1/2/3, and the mRNA decay activator zfp36l2, as Gdf6Y targets. We conclude that Gdf6Y exerts its function as the male sex-determining gene by suppressing female-specific genes in the developing gonad of male N. furzeri.

molecular biology↗

PI(3,5)P2 Controls the Signaling Activity of Class I PI3K

3-Phosphoinositides are ubiquitous cellular lipids that play pivotal regulatory roles in health and disease. Among 3-phosphoinositides, phosphatidylinositol-3,5-bisphosphate (PI(3,5)P2) remains the least understood species in terms of its spatiotemporal dynamics and physiological function due to the lack of a specific sensor that allows spatiotemporally resolved quantitative imaging of PI(3,5)P2. Using a newly developed ratiometric PI(3,5)P2 sensor engineered from the C-terminal SH2 domain of Class I phosphoinositide 3-kinases (PI3K)-p85 subunit we demonstrate that a unique pool of PI(3,5)P2 is generated on lysosomes and late endosomes in response to growth factor stimulation. This PI(3,5)P2, the formation of which is mediated sequentially by Class II PI3KC2{beta} and PIKfyve, plays a crucial role in terminating the activity of growth factor-stimulated Class I PI3K, one of the most frequently mutated proteins in cancer, via specific interaction with its regulatory p85 subunit. A small molecule inhibitor of p85-PI(3,5)P2 binding specifically blocks the feedback inhibition of Class I PI3K by PI(3,5)P2 and thus serves as a PI3K activator that promotes neurite growth. Furthermore, cancer-causing mutations of the Class I PI3K-p85 subunit inhibit p85-PI(3,5)P2 interaction and thereby induce sustained activation of Class I PI3K. Our results unravel a hitherto unknown spatiotemporally specific regulatory function of PI(3,5)P2 that links Class I and II PI3Ks and modulates the magnitude of PI3K-mediated growth factor signaling. These results also suggest new therapeutic possibilities for treating cancer patients with p85 mutations and promoting wound healing and tissue regeneration.

biochemistry↗

Capturing the pathomechanisms of different disease severities in a human cerebral organoid model of LIS1-lissencephaly

Lissencephaly is a malformation of cortical development (MCD) characterized by reduced to absent gyri and a disorganized cortex, leading to severe neurological consequences in affected individuals, including epilepsy, intellectual disability, and reduced life expectancy. Treatments are purely symptomatic, and patients often remain refractory to them. Heterozygous mutations in the LIS1 gene, encoding a regulator of the microtubule motor dynein, cause LIS1-lissencephaly. For unknown reasons, LIS1-lissencephaly patients show marked differences in disease severity despite each carrying a heterozygous LIS1 mutation. We leveraged forebrain-type organoids from patients diagnosed with mild, moderate, or severe LIS1-lissencephaly to investigate, in a cytoarchitecture and multi-omics approach, disease and severity grade associated phenotypes, mechanisms, and rescue approaches. We identified alterations of the cytoarchitecture, progenitor cell homeostasis, and neurogenesis often with a severity-dependent gradient. Identified disease-linked molecular mechanisms were microtubule destabilization, WNT-signaling, protein metabolism, and perturbed cadherin- and unfolded protein-binding. Some mechanisms exhibited a severity-dependent gradient or were specific to a severe grade. We present strategies to reverse phenotypic changes in LIS1-patient organoids and identify mTOR pathway inhibitors in in silico drug repurposing analysis as potential novel therapeutic strategy. By probing the top hit drug, the mTOR inhibitor everolimus, we could indeed rescue severity-dependent phenotypic changes in LIS1-patient organoids. This study demonstrates that organoid-based modeling is sensitive in recapitulating disease severity, which presents an important step in patient stratification, and allows the development of novel personalized rescue strategies with therapeutic potential.

neuroscience↗

A deep neural network provides an ultraprecise transcriptomic clock of the short-lived fish Nothobranchius furzeri and identifies predictive genes translatable to human aging.

A key and unresolved question in aging research is how to quantify aging at the individual level that led to development of "aging clocks", machine learning algorhythms trained to predict individual age from high-dimensional molecular data under the the assumption that individual deviations of the predicted age from the chronological age contain information on the individual condition (often referred to as "biological age"). A full validation of such clocks as biomarkers for clinical studies of ageing would require a comparison of their predictions with information on actual lifespan and long-term health. Such studies take decades in humans, but could be conducted in a much shorter time-frame in animal models. We developed a transcriptomic clock in the turquoise killifish Nothobranchius furzeri. This species is the shortest-lived vertebrate that can be cultured in captivity and is an emerging model organism for genetic and experimental studies on aging. We developed a proprietary deep learning architecture that autonomously selects a customizable number of input genes to use for its predictions in order to reduce overfitting and increase interpretability, and adopts an adversarial learning framework to identify tissue-independent transcriptional patterns. We called this architecture the Selective Adversarial Deep Neural Network (SA-DNN) and trained it on a multi-tissue transcriptomic dataset of N. furzeri. This SA-DNN predicted age of the test set with an accuracy of 1 day, i.e. less than 1% of the total species lifespan and detected genetic, pharmacological and environmental interventions that are known to influence lifespan in this species. Finally, a human transcriptomic multi-tissue clock that uses as input the orthologs of the genes selected by our SA-DNN in N. furzeri reaches an average error of[~] 3 years rivalling epigenetic clocks. Our SA-DNN represents the prototype of a new class of aging clocks that provide biomarkers applicable to intervention studies in model organisms and humans.

genomics↗

A multiplexed cell-free assay to screen for antimicrobial peptides in double emulsion droplets

The global surge in bacterial resistance against traditional antibiotics triggered intensive research for novel compounds, with antimicrobial peptides (AMPs) identified as a promising candidate. Automated methods to systematically generate and screen AMPs according to their membrane preference, however, are still lacking. We introduce a novel microfluidic system for the simultaneous cell-free production and screening of AMPs for their membrane specificity. On our device, AMPs are cell-free produced within water-in-oil-in-water double emulsion droplets, generated at high frequency. Within each droplet, the peptides can interact with different classes of co-encapsulated liposomes, generating a membrane-specific fluorescent signal. The double emulsions can be incubated and observed in a hydrodynamic trapping array or analysed via flow cytometry. Our approach provides a valuable tool for the discovery and development of membrane-active antimicrobials.

bioengineering↗

The analysis of epigenomic evolution

While the investigation of the epigenome becomes increasingly important, still little is known about the long-term evolution of epigenetic marks and systematic investigation strategies are still withstanding. Here, we systematically demonstrate the transfer of classic phylogenetic methods such as maximum likelihood based on substitution models, parsimony, and distance-based to interval-scaled epigenetic data (available at Github). Using a great apes blood data set, we demonstrate that DNA methylation is evolutionarily conserved at the level of individual CpGs in promotors, enhancers and genic regions. Our analysis also reveals that this epigenomic conservation is significantly correlated with its transcription factor binding density. Binding sites for transcription factors involved in neuron differentiation and components of AP-1 evolve at a significantly higher rate at methylation than at nucleotide level. Moreover, our models suggest an accelerated epigenomic evolution at binding sites of BRCA1, CBX2, and factors of the polycomb repressor 2 complex in humans. For most genomic regions, the methylation-based reconstruction of phylogenetic trees is at par with sequence-based reconstruction. Most strikingly, phylogenetic reconstruction using methylation rates in enhancer regions was ineffective independently of the chosen model. We identify a set of phylogenetically uninformative CpG sites enriching in enhancers controlling immune-related genes.

evolutionary biology↗

High-content screening of coronavirus genes for innate immune suppression revealsenhanced potency of SARS-CoV-2 proteins

Suppression of the host intracellular innate immune system is an essential aspect of viral replication. Here, we developed a suite of medium-throughput high-content cell-based assays to reveal the effect of individual coronavirus proteins on antiviral innate immune pathways. Using these assays, we screened the 196 protein products of seven coronaviruses (SARS-CoV-2, SARS-CoV-1, 229E, NL63, OC43, HKU1 and MERS). This includes a previously unidentified gene in SARS-CoV-2 encoded within the Spike gene. We observe immune-suppressing activity in both known host-suppressing genes (e.g., NSP1, Orf6, NSP3, and NSP5) as well as other coronavirus genes, including the newly identified SARS-CoV-2 protein. Moreover, the genes encoded by SARS-CoV-2 are generally more potent immune suppressors than their homologues from the other coronaviruses. This suite of pathway-based and mechanism-agnostic assays could serve as the basis for rapid in vitro prediction of the pathogenicity of novel viruses based on provision of sequence information alone.

systems biology↗

Nutrient signaling pathways regulate amyloid clearance and synaptic loss in Alzheimer's disease

Extra-cellular accumulation of Amyloid-{beta} (A{beta}) plaques is causatively associated with Alzheimers disease (AD). However, mechanisms that mediate the pre-pathological state of amyloid plaque formation remain elusive. Here, using paired RNAi and kinase inhibitor screens, we discovered that AKT-mediated insulin/nutrient signaling suppresses lysosomal clearance of A{beta} and promotes amyloid formation. This mechanism is cell-autonomous and functions in multiple systems, including iPSC-derived human neurons and in vivo. Nutrient signaling regulates amyloid formation via distinct lysosomal functional mechanisms, while enhanced amino acid signaling promotes amyloid formation by transcriptionally suppressing lysosome biogenesis, and high intracellular cholesterol levels suppress lysosomal clearance of amyloid by increasing the number of non-functional lysosomes. The nutrient signaling pathway, present in both neurons and microglia, regulates lysosomal clearance of amyloid and microglia mediated synapse loss, both in vitro and in vivo. Clinically, older hyperlipidemic patients showed less synapse loss through microglia and performed better in cognitive tests. Thus, our results reveal a bi-partite cellular quality control system regulated by the insulinnutrient signaling that in neurons regulates A{beta} peptide clearance and in microglia regulates synaptic loss, both processes causally associated with AD. Our results also caution against reducing amyloid through such processes as this might also result in synapse loss.

neuroscience↗

Status-dependent aging rates in long-lived, social mole-rats are shaped by HPA stress axis

Sexual activity and/or reproduction doubles life expectancy in the long-lived rodent genus Fukomys. To investigate the molecular mechanisms underlying this phenomenon, we analyzed a total of 636 RNA-seq samples across 15 tissues. This analysis suggests that the differences in life expectancy between reproductive and non-reproductive mole-rats are mainly caused by critical changes in the regulation of the hypothalamic-pituitary-adrenal stress axis, which we further substantiate with a series of independent evidence. In accordance with previous studies, the up-regulation of the proteasome and several so-called "anti-aging molecules", such as DHEA, is also linked with enhanced life expectancy. On the other hand, several our results oppose crucial findings in short-lived model organisms. For example, we found the up-regulation of the IGF1/GH axis and several other anabolic processes to be compatible with a considerable lifespan prolongation. These contradictions question the extent to which findings from short-lived species can be transferred to longer-lived ones.

genomics↗