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Taverna, E.

Publications and source records attributed to Taverna, E..

10 recordsLinked to original sources

COG5-mediated Golgi organization coordinates neural progenitor fate during human brain development

Apical radial glial cells (aRGs) are highly polarized epithelial cells that drive human cortical development through tightly regulated lineage progression. A distinctive feature of aRGs is their non-canonical Golgi organization, raising the possibility that specialized intracellular trafficking and secretory processes contribute to progenitor behaviour. However, how Golgi architecture contributes to human corticogenesis remains poorly understood. Here, we investigate this question in the context of COG5 deficiency, a rare congenital disorder of glycosylation associated with neurodevelopmental defects, using patient-derived fibroblasts and brain organoids, N-glycomics, glycolipidomics, and single-cell transcriptomics. We show that COG5 deficiency disrupts Golgi organization and impairs Golgi-to-ER retrograde trafficking. At the neurodevelopmental level, COG5-deficient organoids display altered ventricular organization and reduced basal progenitor abundance. Single-cell transcriptomic analysis reveals rewired developmental trajectories characterized by premature differentiation from apical progenitors with activation of neuronal pathways. Despite the absence of major abnormalities in plasma glycoproteins glycosylation, glycolipidomic analysis identified marked defects in glycosphingolipid maturation within patient-derived brain organoids, indicating selective impairment of neural lipid glycosylation. Transcriptomic and biochemical analyses further revealed dysregulation of developmental pathways, including reduced Notch signalling and altered localization of both cleaved Notch1 and the Golgi-associated protein ACBD3. Consistent with impaired progenitor maintenance, COG5-deficient organoids displayed altered cleavage plane orientation in apical progenitors. Together, our findings suggest a link between Golgi organization, intracellular trafficking, membrane glycosylation, and lineage progression in human neural progenitors, identifying Golgi architecture as an important regulator of apical radial glial cell biology and cortical development.

cell biology↗

An improved CRISPR-LICHT screen of 120 Tdark genes illuminates new biologically relevant SOX2 targets in human brain organoids

SOX2 is a transcription factor and central regulator of neural progenitor identity, yet the downstream molecular networks through which it supports human brain development remain incompletely characterized. Here, we applied CRISPR-lineage tracing at cellular resolution in heterogeneous tissue (CRISPR-LICHT) to human cerebral organoids to functionally interrogate SOX2-dependent regulatory networks. Using a SOX2-focused library targeting SOX2 together with conserved neurodevelopmental regulators expressed in neural progenitor cells, we showed that CRISPR-LICHT detects reproducible lineage- depletion phenotypes across genes already known to be involved in progenitor maintenance, fate specification, glial differentiation and neuronal maturation. This extends the application of CRISPR-LICHT beyond the severe neural progenitor phenotypes previously characterized for microcephaly-associated genes and demonstrates its ability to detect perturbation effects across a broader set of neurodevelopmental regulators, involving SOX2 targets previously defined in mouse and now open to further understanding in a human model setting. We further screened 120 evolutionarily conserved, poorly characterized SOX2-dependent genes classified as Tdark within the Illuminating the Druggable Genome framework and identified 28 candidate hits whose disruption impaired neural progenitor lineage expansion and/or survival. These candidates included proteins associated with cytoskeletal organization, membrane dynamics and intracellular architecture, suggesting that SOX2-dependent developmental programmes may engage cellular processes beyond transcriptional regulation. Individual downregulation of CDC42EP4, a poorly characterized CDC42 effector linked to cytoskeletal organization, revealed altered distribution of targeted progenitors between ventricular- and subventricular- like compartments, with changes consistent with altered progenitor-state progression. Together, these findings expand the functional landscape of SOX2-dependent regulation in human neural progenitors and identify cellular architecture as a potential component of SOX2-associated developmental programs.

developmental biology↗

Evolutionary diversification of lipid logistics shapes synaptic maturation in primates

The prolonged developmental trajectory of the human brain (neoteny) is a defining feature of human evolution. Yet, the cellular mechanisms underlying this delay remain poorly understood. Here, comparing human and chimpanzee induced neurons and cerebral organoids, we we show that human neurons form fewer excitatory synapses and synchronize network activity later. Electron microscopy further revealed reduced synaptic vesicle docking and clustering near release sites, identifying altered presynaptic assembly as a prominent feature of human neuronal development. Unexpectedly, human neurons accumulate more, not less, membrane lipids, revealing a dissociation between lipid abundance and synaptic maturation. Transcriptomics and synaptosome proteomics resolve this paradox: chimpanzee neurons preferentially engage lipid metabolism and synaptic-maturation programs, whereas human neurons upregulate intracellular lipid transport and trafficking pathways. Together, our findings identify membrane organization as a previously unrecognized regulatory layer that controls neuronal neoteny. These results also suggest that evolutionary divergence can arise through changes in the spatial deployment of membrane lipids rather than their abundance, providing a molecular framework for understanding the evolution of human brain neoteny.

evolutionary biology↗

Primate Astrocyte Evolution Controls the Tempo of Neuronal Development

Prolonged neuronal maturation, also referred to as neoteny, constitutes a hallmark of human brain evolution. Yet, the mechanisms controlling neotenic brain development remain poorly understood, and have been defined as neuron-intrinsic. Astrocytes shape synapse formation, activity, and elimination, and have changed substantially between humans and other species. Yet, whether the evolutionary divergence in astrocytes shapes the timing of neuronal maturation is unknown. Here, we show that astrocytes from humans and their closest living relatives, chimpanzees, exert contrasting effects on neuronal maturation: chimpanzee astrocytes accelerate it, whereas human astrocytes delay it, without affecting neuronal survival. Through comparative transcriptomics and epigenomics, we find that evolutionarily reduced APOE expression in human astrocytes underlies the observed delay in neuronal maturation: restoring APOE levels in human astrocytes accelerates neuronal development. We further establish that the Hippo-TEAD signaling represses APOE expression in human astrocytes, revealing a link between the enhanced morphological complexity of human astrocytes and the observed reduced tempo of neuronal development in their presence. Strikingly, neuronal genes differentially impacted by human and chimpanzee astrocytes are associated with schizophrenia, Alzheimers disease, and epilepsy, linking astrocyte evolution to disease vulnerability. Altogether, these findings establish that brain neoteny is partly a glial phenomenon, revealing that understanding the pace of human brain development requires understanding how astrocytes, not only neurons, have evolved.

neuroscience↗

ML-guided robotic microinjection of single neurons in human brain organoids

Human brain organoids have emerged as powerful models for studying the physiology, pathology, and evolution of the human brain. When combined with single-cell approaches, they offer the potential to directly probe the dynamics and mechanisms underlying cell fate decisions. A major technical bottleneck, however, remains the ability to reliably visualize and manipulate individual cells within their dense and heterogeneous tissue environment. Microinjection has proven effective for this purpose, allowing direct delivery of membrane-impermeable probes into single cells within intact tissue. Despite its versatility, widespread adoption of microinjection has been limited by its technically demanding and low-throughput nature. Automated microinjection systems developed for murine tissue have demonstrated that robotics can overcome these limitations, enabling systematic single-cell lineage tracing at scale. Here, we present a vision-guided robotic system capable of imaging organoid slices, identifying tissue boundaries, and targeting specific single cells for microinjection. This approach is generalizable across murine and human tissues and enables high-throughput single-cell manipulation, opening new avenues for studying human brain development at scale.

bioengineering↗

MicroSplit: Semantic Unmixing of Fluorescent Microscopy Data

Fluorescence microscopy, a key driver for progress in the life sciences, faces limitations due to the microscopes optics, fluorophore chemistry, and photon exposure limits, necessitating trade-offs in imaging speed, resolution, and depth. Here, we introduce Micro[S]plit, a computational multiplexing technique based on deep learning that allows multiple cellular structures to be imaged in a single fluorescent channel and then unmix them by computational means, allowing faster imaging and reduced photon exposure. We show that Micro[S]plit efficiently separates up to four superimposed noisy structures into distinct denoised fluorescent image channels. Furthermore, using Variational Splitting Encoder-Decoder (VSE) networks, our approach can sample diverse predictions from a trained posterior of solutions. The diversity of these samples scales with the uncertainty in a given input, allowing us to estimate the true prediction errors by computing the variability between posterior samples. We demonstrate the robustness of Micro[S]plit networks, which are trained for each splitting task at hand, across various datasets and noise levels and show its utility to image more, to image faster, and to improve downstream analysis. We provide Micro[S]plit along with all associated training and evaluation datasets as open resources, enabling life scientists to immediately benefit from the potential of computational multiplexing and thus help accelerate the rate of their scientific discovery process.

bioinformatics↗

DOT1L activity affects cell lineage progression in the developing brain by controlling metabolic programs

Cortical neurogenesis depends on the tight balance between self-renewal and differentiation of apical progenitors (APs), the key progenitor type generating all other neural cells including neocortical neurons. We here report the activity of the histone methyltransferase DOT1L as a gatekeeper for AP cell identity. Combining lineage tracing with single-cell RNA sequencing of clonally related cells, we explore consequences of DOT1L inhibition on AP lineage progression during neurogenesis in the embryonic mouse neocortex. At the cellular level, DOT1L inhibition led to increased neurogenesis driven by a shift from asymmetric self-renewing to symmetric neurogenic divisions of APs. At the molecular level, we show that DOT1L activity preserved AP identity by promoting transcription of a gene set involved in AP metabolism. On a mechanistic level, DOT1L inhibition increased expression of metabolic genes, including microcephaly-associated Asparagine synthetase (Asns) and overexpression of ASNS in APs resulted in increased neuronal differentiation. Asns expression was predicted to be controlled through EZH2 and we show that DOT1L activity allows PRC2-mediated repression of Asns expression. Importantly, inhibition of ASNS activity rescued increased AP differentiation upon DOT1L inhibition. Our data show that DOT1L activity/PRC2 crosstalk controls AP lineage progression by regulating AP metabolism, and they provide a mechanistic view on how DOT1L activity might affect neocortical neurogenesis.

developmental biology↗

Ngn2 induces diverse neuronal lineages from human pluripotency

Human neurons engineered from induced pluripotent stem cells (iPSCs) through Neurogenin 2 (Ngn2) overexpression are widely used to study neuronal differentiation mechanisms and to model neurological diseases. However, the differentiation paths and heterogeneity of emerged neurons have not been fully explored. Here we used single-cell transcriptomics to dissect the cell states that emerge during Ngn2 overexpression across a time course from pluripotency to neuron functional maturation. We find a substantial molecular heterogeneity in the neuron types generated, with at least two populations that express genes associated with neurons of the peripheral nervous system. Neuron heterogeneity is observed across multiple iPSC clones and lines from different individuals. We find that neuron fate acquisition is sensitive to Ngn2 expression level and the duration of Ngn2 forced expression. Our data reveals that Ngn2 dosage can regulate neuron fate acquisition, and that Ngn2-iN heterogeneity can confound results that are sensitive to neuron type.

neuroscience↗

Comparison of induced neurons reveals slower structural and functional maturation in humans than in apes

We generated induced excitatory sensory neurons (iNeurons, iNs) from chimpanzee, bonobo and human stem cells by expressing the transcription factor neurogenin-2 (NGN2). Single cell-RNA sequencing showed that genes involved in dendrite and synapse development are expressed earlier during iNs maturation in the chimpanzee than the human cells. In accordance, during the first two weeks of differentiation, chimpanzee and bonobo iNs showed repetitive action potentials and more spontaneous excitatory activity than human iNs, and extended neurites of higher total length. However, the axons of human iNs were slightly longer at 5 weeks of differentiation. The timing of the establishment of neuronal polarity did not differ between the species. Chimpanzee, bonobo and human neurites eventually reached the same level of structural complexity. Thus, human iNs develop slower than chimpanzee and bonobo iNs and this difference in timing likely depends on functions downstream of NGN2.

evolutionary biology↗

Robotic platform for microinjection into single cells in intact tissue

Microinjection into single cells in intact tissue allows the delivery of membrane-impermeant molecules such as nucleic acids and proteins is a powerful technique to study and manipulate the behavior of these cells and, if applicable, their progeny. However, a high level of skill is required to perform such microinjection and is a low-throughput and low-yield process. The automation of microinjection into cells in intact tissue would empower an increasing number of researchers to perform these challenging experiments and could potentially open up new avenues of experimentation. We have developed the Autoinjector, a robot that utilizes images acquired from a microscope to guide a microinjection needle into tissue to deliver femtoliter volumes of liquids into single cells. The robotic operation enables microinjection of hundreds of cells within a single organotypic slice, resulting in an overall yield that is an order of magnitude greater than manual microinjection. We validated the performance of the Autoinjector by microinjecting both apical progenitors (APs) and newborn neurons in the embryonic mouse telencephalon, APs in the embryonic mouse hindbrain, and neurons in fetal human brain tissue. We demonstrate the capability of the Autoinjector to deliver exogenous mRNA into APs. Further, we used the Autoinjector to systematically study gap-junctional communication between neural progenitors in the embryonic mouse telencephalon and found that apical contact is a characteristic feature of the cells that are part of a gap junction-coupled cell cluster. The throughput and versatility of the Autoinjector will not only render microinjection a broadly accessible high-performance cell manipulation technique but will also provide a powerful new platform for bioengineering and biotechnology for performing single-cell analyses in intact tissue.

neuroscience↗