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Barta, T.

Publications and source records attributed to Barta, T..

18 recordsLinked to original sources

Novel cumate-inducible models of MYC-driven neuroblastoma enable unconfounded mitochondrial synthetic lethality screens

Oncogenic MYC transcription factors profoundly alter cellular programs, imposing dependencies that can be therapeutically exploited in MYC-driven cancers such as high-risk neuroblastoma. However, dissecting such synthetic lethal vulnerabilities using controlled, tunable gene expression within a uniform genetic background remains challenging. Widely used tetracycline-regulated systems rely on inducers known to perturb mitochondrial function, introducing significant off-target effects that may confound interpretation. To overcome this limitation, we established novel cumate (p-isopropylbenzoate)-inducible neuroblastoma models that enable physiologically unbiased regulation of MYC(N) expression. Functional validation demonstrated that cumate itself does not induce off-target effects on neuroblastoma cell viability, mitochondrial membrane potential, morphology, proteostasis, or stress signaling, even at the highest recommended dose. The developed SHEP-CuO-MYC and -MYCN models show efficient, titratable, and reversible upregulation of c-MYC and N-MYC, respectively, recapitulating the expression levels observed in MYC(N)-amplified neuroblastoma. As a proof-of-concept, we applied these models to mechanistically validate the recently proposed mitoribosomal synthetic lethality, providing fully unbiased evidence that elevated c-MYC/N-MYC levels sensitize neuroblastoma cells to inhibitors of mitochondrial gene expression. Although impairing mitochondrial translation activated mitochondrial integrated stress response in both MYC-on and MYC-off states, it led to dramatic MYC downregulation coupled with enhanced caspase-dependent cell death in MYC-on cells. These findings reveal that MYC(N) overexpression confers a selective, proliferation-independent mitochondrial vulnerability that can be therapeutically targeted by repurposing well-tolerated mitochondrial ribosome-targeting antibiotics. Collectively, our models provide a robust platform for studying the MYC-mitochondria interplay and can be directly adapted for drug repurposing screens targeting mitochondrial dependencies in neuroblastoma and, potentially, other MYC-driven tumors. HIGHLIGHTSO_LICumate shows no inducer-associated mitochondrial or cytotoxic off-target effects C_LIO_LICumate-inducible MYC models enable mechanistic studies of mitochondrial synthetic lethality C_LIO_LIMYC overexpression drives neuroblastoma sensitivity to mitochondrial translation inhibition C_LIO_LICommon ribosomal antibiotics trigger caspase-dependent cell death in MYC-driven tumor cells C_LIO_LIContext-specific MYC downregulation links mitochondrial stress to MYC synthetic lethality C_LI

cancer biology↗

Diversity of pheromone temporal coding disruptions by plant volatiles

Moth pheromone-sensitive olfactory receptor neurons (Phe-ORNs) encode the intermittent structure of pheromone plumes through precisely timed spikes, a mechanism that is essential for odor plume tracking behavior in flying insects. However, natural olfactory scenes are composed of diverse volatile plant compounds (VPCs) with complex temporal dynamics whose effects on pheromone signal intermittency encoding remain unclear. Two lines of research, encoding of pheromone intermittency and background interference, remain largely disconnected. Here, we performed electrophysiological recordings from moth Phe-ORNs to quantify their responses to turbulent plume-like flickering pheromone stimuli in constant or fluctuating backgrounds of a diversity of VPCs. We found that some VPCs reversibly disrupted the temporal coding of various subregions of the pheromone stimulus and the trial-to-trial variability. While Phe-ORN activation by VPCs partially accounted for the decrease in coding performance, Phe-ORN gain reduction was insufficient to explain the full extent of the disruption. Some VPCs disrupt temporal coding without activating Phe-ORNs, and others activate Phe-ORNs without altering temporal coding. A continuous background noise can induce strong adaptation and limit dynamic range, whereas a fluctuating background can interfere with pheromone pulse encoding by disrupting spike timing. Altogether, these results indicate that the pheromone detection system must contend with multiple forms of background noise rather than a uniform disturbance. Timing is key for olfactory navigation, and our results raise questions regarding how downstream circuits would process noisy sensory inputs. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=196 SRC="FIGDIR/small/713794v1_ufig1.gif" ALT="Figure 1"> View larger version (39K): org.highwire.dtl.DTLVardef@1c44fb6org.highwire.dtl.DTLVardef@14d5982org.highwire.dtl.DTLVardef@12f94a2org.highwire.dtl.DTLVardef@c731ee_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗

Depression reduces structurally informed network flexibility in premanifest Huntington's disease

1Background and objectivesThe extent to which structural connectivity constrains effective connectivity in both depression and neurodegenerative contexts remains poorly understood. In particular, the relationship between structural connectivity aberrations and effective dysconnectivity associated with depression in Huntingtins disease remains uncharacterized. Here, we applied a novel procedure that implements structural connectivity-informed spectral dynamic causal modelling to examine how structural connectivity shapes directed inter-regional influences in premanifest Huntingtons disease gene expansion carriers (HDGECs) with and without depression history. MethodsUsing spectral dynamic causal modeling embedded in a hierarchical empirical Bayes framework, we analyzed fMRI data from 98 premanifest HDGECs across default mode network and striatum (caudate and putamen). HDGECs were split into two groups based on either having a history of depression or not. Depression severity on both the Beck Depression Inventory, 2nd Edition (BDI-II) and Hospital Anxiety and Depression Scale, Depression Subscale (HADS-D) was used to measure clinically elevated depression symptoms. Leave-one-out cross-validation was implemented to test predictive validity. ResultsModel evidence substantially favored structurally informed over uninformed approaches across all participants. For HDGECs, having a history of depression was associated with reduced baseline variability in effective connectivity (decreased parameter), with particularly tight regularization of near-zero-valued structural connections toward zero effective connectivity values while leaving strongly connected pathways relatively unaffected. Effects converged on striatal self-connectivity and hippocampal-striatal pathways, with distinct patterns emerging between depression history groups. Notably, clinically elevated depression revealed differential connectivity signatures, with right caudate self-connectivity showing positive correlations with clinical cut-offs for HDGECs with and without depression history. In leave-one-out cross-validation, specific connections including DMN-to-striatum (BDI: r = -0.31, p = .002; HADS-D: r = -0.33, p = .001), right hippocampus-to-left caudate (BDI: r = -0.46, p < .001; HADS-D: r = -0.30, p = .002), and left caudate-to-left putamen (BDI: r = -0.48, p < .001; HADS-D: r = -0.30, p = .003) significantly predicted individual differences in depression severity scores. DiscussionTogether, these findings link reduced network flexibility to depression vulnerability in premanifest neurodegeneration, providing a mechanistic bridge between anatomical constraints, effective connectivity alterations, and clinical depression phenotypes.

neuroscience↗

Memory-specific E-I balance supports diverse replay and mitigates catastrophic forgetting

The hippocampus is the brains central locus for memory processing. In a widely accepted hypothesis, the hippocampus stores short-term memories in attractor states, which are then consolidated in the neocortex as long-term memories. Hippocampal replay activities play a pivotal role in memory consolidation, but memories are only transiently, not persistently, replayed, casting doubt on the attractor memory hypothesis. Concepts like memory capacity, the upper bound on the number of storable stable memories in a neural network, may also need to be revised if their offline transient activation is more essential for memory consolidation. Here, we explore the biologically plausible mechanism of offline memory processing by asking a recurrent spiking network to replay reliably as many stored assemblies as possible. We demonstrate the importance of memory-assembly-specific inhibitory plasticity for replaying diverse memory assemblies. Furthermore, our results highlight the role of transient memory states in mitigating catastrophic forgetting.

neuroscience↗

Context-dependent structurally informed effective connectivity under psilocybin

The extent to which anatomical connectivity constrains pharmacologically altered brain dynamics remains poorly understood. Here, we combined psilocybin administration with a structurally informed effective-connectivity model to examine how structural connectivity shapes directed inter-regional influences across experiential contexts. Using dynamic causal modeling embedded in a hierarchical empirical Bayes framework, we analyzed fMRI data acquired from a hippocampo-thalamo-cortical network during rest, guided meditation, music listening and movie viewing. Across contexts, psilocybin reorganized directed interactions while preserving structure-based scaling. Effects converged on efferents (outgoing influences) from the left hippocampus--a hub interfacing mnemonic and associative systems with the default-mode network and thalamus. Notably, the left-hippocampus-to-thalamus pathway showed a sign-reversed association with mystical-experience scores (downregulation during guided meditation and upregulation during music listening). In model-based leave-one-out cross-validation, left-hippocampal efferents predicted individual differences in mystical-experience intensity. A minimal model-free benchmark (hippocampal signal variability) also showed modest associations with mystical experience. Together, these findings link context-specific, structurally informed effective connectivity to individual differences in the acute psychedelic experience, providing a mechanistic bridge between anatomy, neurodynamics, and phenomenology.

neuroscience↗

Temporal Dynamics of Depression in Premanifest Huntington's Disease: A Network Dysconnection Approach

Background and objectivesDepression emerges years before motor signs in Huntington"s disease gene expansion carriers (HDGECs), yet how directional connectivity patterns evolve over time and relate to depression trajectories remains unknown. We hypothesized HDGECs with depression history would show accelerated grey matter atrophy and disinhibition of striatal-to-default mode network connections over time. MethodsThe study utilised the largest longitudinal study of premanifest HD, TrackOn-HD, including structural and resting-state brain scans. HDGECs were stratified by depression history and followed over three annual assessments. Analyses focused on 8 predefined regions spanning striatal and default mode network regions. Here, we applied spectral dynamic causal modelling to examine effective connectivity, alongside voxel-based morphometry of grey matter atrophy and linear mixed models of depressive symptoms. Spectral DCM employed Bayesian model reduction with free energy thresholds [&ge;]0.95 for strong evidence of connectivity changes. ResultsThe study included 105 HDGECs (53 females, mean age = 43, mean CAG = 43). Depression-related network dysconnection operated independently of regional grey matter atrophy, with HDGECs exhibiting widespread striatal volume loss but no differential atrophy patterns between depression groups. Larger posterior cingulate cortex volumes predicted increased depression severity specifically in HDGECs with depression history, across both Beck Depression Inventory-II ({beta} = 36.79, 95% CI = 2.33-71.25, p =.041) and Hospital Anxiety and Depression Scale-Depression Subscale ({beta} = 27.31, 95% CI = 11.12-43.50, p =.002). Spectral dynamic causal models explained 88.6% of variance in depression groups and 90.4% in non-depression groups. Longitudinal effective connectivity analyses revealed distinct dysconnection profiles: HDGECs with depression history showed widespread interhemispheric alterations including progressive inhibitory changes of striatal-DMN circuits and aberrant hippocampal regulatory control, while those without depression exhibited more focal dysconnection. These patterns occurred despite no group differences in grey matter atrophy trajectories over 24 months. DiscussionDepression in HDGECs emerges through network dysconnection that operates independently of regional atrophy. Functional alterations may precede detectable structural breakdown and represent pathological responses to subclinical neurodegenerative processes, suggesting functional connectivity markers may serve as early indicators of depression vulnerability in premanifest HD.

neuroscience↗

Photostimulation Improves Maturation of Human Photoreceptors

The human retina contains photoreceptor cells that detect light and enable vision. The development of these cells involves a tightly regulated cascade of structural and molecular events, and their dysfunction leads to irreversible blindness in many retinal diseases. Human retinal organoids derived from stem cells have become powerful tools to model retinal development and disease, but they often remain immature and lack key features required for full function. Light is not only the sensory target of photoreceptors but also an important developmental signal in vivo. However, light has rarely been used as a deliberate stimulus during in vitro differentiation. Here we show that exposing retinal organoids to rhythmic light flicker at a specific frequency enhances photoreceptor maturation across multiple levels. This stimulation improves the development of outer segments, accelerates the transcriptional transition from precursor to mature photoreceptors, and strengthens functional connectivity with downstream neurons. These findings identify patterned light as a potent and physiologically relevant signal for driving retinal development in vitro. This approach represents a non-invasive and easily scalable method for improving the quality of retinal organoids, with implications for disease modelling, drug discovery and the preparation of photoreceptors for cell-based therapies.

cell biology↗

Long-term daily light exposure boosts photoreceptor maturation in retinal organoids

Induced pluripotent stem cell-derived retinal organoids (ROs) have become promising personalized models to study inherited retinal diseases (IRDs) and develop new innovative therapies. Although ROs mimic key retinal features and show some light responsiveness, their differentiation and maturation remain limited and lengthy. We hypothesize that standard dark culture conditions limit the expression of genes and proteins related to retinal function, delaying differentiation and complicating disease modeling. Therefore, we investigated whether daily light exposure could promote photoreceptor maturation. ROs were exposed to six hours of daily light starting from day 70 in vitro. Light conditioning led to enhanced photoreceptor maturation, specifically an increase in rod photoreceptors, a late-born cell type, without signs of increased stress or cell death. Our findings suggest that daily light exposure enhances RO differentiation, opening new avenues to investigate molecular and cellular phenotypes in IRDs and accelerate therapy development in more relevant functional models.

cell biology↗

PRPF8-associated retinitis pigmentosa variant induces human neural retina-autonomous photoreceptor defects

Retinitis pigmentosa (RP) is an inherited retinal disorder characterized by the progressive loss of photoreceptors that currently lacks effective treatment. Here, we investigated the impact of the pathogenic PRPF8-Y2334N variant on neural retina cells in hiPSC-derived retinal organoids. Expression of this variant resulted in photoreceptor defects, including thinning of the outer segment layer. At the molecular level, we observed relatively minor changes in mRNA expression in multiple retinal cells, indicating that neural retina cells are impacted independently of retinal pigment epithelium (RPE). We found splicing alterations in genes associated with neural and retinal diseases, including those involved in intraflagellar transport, suggesting that these genes may represent common targets of splicing factor mutations. We further detected the misexpression of several circular RNAs (circRNAs), which could serve as early biomarkers of splicing defects caused by RP mutations. Together, we present a model of RP that recapitulates photoreceptor degeneration and demonstrates that these defects are independent of RPE erosion.

cell biology↗

PsiConnect: A Multimodal Neuroimaging Study of Psilocybin-Induced Changes in Brain and Behaviour

PsiConnect is a large-scale neuroimaging study designed to investigate the neural and subjective effects of psilocybin using multimodal neuroimaging. It combines functional, structural, and diffusion-weighted MRI with EEG to examine brain activity in 62 participants before and after a 19 mg dose of psilocybin. The design includes resting-state scans and three naturalistic conditions: guided meditation, music listening, and movie watching. Half of the cohort underwent an 8-week meditation training program, enabling the exploration of interactions among meditation, psilocybin, and brain function. The fMRI data was obtained through multi-echo fMRI, which enhances the signal-to-noise ratio and reduces susceptibility artifacts, thereby improving the reliability of the analyses. A comprehensive battery of behavioural and self-report measures captured both acute and longitudinal cognitive and subjective effects, with follow-ups extending to one year post-administration. The large sample size, multimodal neuroimaging, diversity of contexts, and longitudinal behavioural follow-ups enable the study of psilocybin-induced changes in brain and behaviour with an unprecedented level of detail and reliability. Furthermore, the data is curated according to open science principles to ensure accessibility and interoperability with established neuroimaging processing pipelines. These factors make PsiConnect a valuable and highly reusable resource for researchers in cognitive and computational neuroscience.

neuroscience↗

Armed with PRICKLE(3)s: Stabilizing WNT/PCP complexes against RNF43-mediated ubiquitination

The human Prickle protein family, consisting of PRICKLE1, PRICKLE2, PRICKLE3, and PRICKLE4, is an integral component of the WNT/planar cell polarity (WNT/PCP) pathway and is essential for various cellular and developmental processes. Despite their significance, the detailed roles and involvement in molecular mechanisms of these proteins in cells remain not fully understood. In this study, we used enhanced proximity biotinylation (miniTurboID) combined with mass spectrometry to characterize the microenvironment of PRICKLE1-3. Our results reveal that PRICKLE3 is directly linked to the WNT/PCP pathway, primarily localizing at the plasma membrane and forming complexes with VANGL proteins. This observation prompted us to examine its role in the non-canonical WNT signalling pathway in more detail. Using an inducible expression system to achieve protein levels closer to physiological conditions, we found that PRICKLE3 enhances the stability of VANGL1 and VANGL2 by shielding them from Casein kinase 1 {varepsilon}-mediated phosphorylation. Furthermore, our results indicate that PRICKLE3 modulates WNT receptor complexes by negatively regulating the interaction between Casein kinase 1 {varepsilon} and ubiquitin ligase RNF43, resulting in decreased ubiquitination and increased stabilization of VANGL1/2 at the plasma membrane. Notably, these effects were specific to PRICKLE3, with PRICKLE1 showing no comparable activity. Contrary to previous findings based mainly on standard overexpression studies, neither PRICKLE3 nor PRICKLE1 influenced the levels or phosphorylation status of WNT proteins DISHEVELLED2 and DISHEVELLED3, which are the PRICKLE proteins binding partners. In summary, we have identified a key mechanism specific to PRICKLE3 that positively regulates WNT/PCP complexes by suppressing RNF43. Additionally, we present a comprehensive interactome and new tools for the functional specification of Prickle isoforms to support further research.

cell biology↗

Psychedelics Align Brain Activity with Context

Psychedelics can profoundly alter consciousness by reorganising brain connectivity; however, their effects are context-sensitive. To understand how this reorganisation depends on context, we collected and comprehensively analysed the largest psychedelic neuroimaging dataset to date. Sixty-two adults were scanned with functional MRI and EEG during rest and naturalistic stimuli (meditation, music, and movie), before and after ingesting 19 mg of psilocybin (functional MRI {approx}80 min post-dose; EEG {approx}150 min post-dose). Half the participants ranked the experience among the most meaningful of their lives. Under psilocybin, functional MRI and EEG signals recorded during eyes-closed conditions became similar to those recorded during an eyes-open condition. Global functional connectivity increased in associative regions and decreased in sensory areas. Using machine learning to represent neural activity as low-dimensional trajectories, we found that psilocybin reorganised these into structured, context-sensitive patterns of brain activity that reflected both experimental condition and the quality of subjective experience, revealing an organisation that was missed by time-averaged connectivity measures. Under psilocybin, brain networks that ordinarily segregate internal and external processing coherently integrated and aligned neural dynamics with context. This context-alignment manifested as distinct and cohesive neural trajectories in participants reporting positively felt self- and boundary-dissolving effects, corresponding to the felt experience of being part of the environment, which we refer to as embeddedness--the subjective experience of being continuous with, rather than separate from, the surrounding environment. The strength of this context-alignment was associated with next-day mindset change, bridging the neural, experiential, and therapeutic dimensions of the psychedelic state. These findings show that the organisation of brain activity covaries with the experiential coherence of the psychedelic state, and provide a systems-level framework for how context-sensitive brain dynamics link neurobiology to subjective experience and behavioural change.

neuroscience↗

Unveiling the Cellular and Molecular Mechanisms of Diabetic Retinopathy with Human Retinal Organoids

Diabetic retinopathy (DR) is a leading cause of vision impairment worldwide, driven by chronic hyperglycaemia and its complex metabolic consequences. While animal models have been widely used to study DR, they often fail to replicate the physiology of human retina. To address this limitation, we employed human retinal organoids as a model to study the effects of hyperglycaemia across various stages of retinal differentiation. Early-stage organoids demonstrated resilience to high glucose levels, maintaining normal morphology, viability, and gene expression. However, advanced-stage organoids displayed significant disruptions, including the downregulation of outer segment-specific genes, which impaired photoreceptor maturation, and a noticeable shortening of photoreceptor outer segments. Transcriptomic analysis revealed substantial changes in pathways related vision including G protein-coupled receptor signalling pathway, response to light stimulus, and visual perception. While photoreceptors were particularly vulnerable, other retinal cell types, including bipolar cells, ganglion cells, and Muller glia, showed greater resilience. Additionally, glial activation, evidenced by increased expression of astrocyte markers, suggested an adaptive response to hyperglycaemia. To validate our findings, we compared our dataset with publicly available transcriptomic datasets from human retinas with DR, confirming key overlaps in pathways related to photoreceptor dysfunction, gliogenesis, and oxidative stress responses. These results establish human retinal organoids as an effective and relevant model for studying the molecular mechanisms of neurodegeneration associated with DR progression.

cell biology↗

Shared input and recurrency in neural networks for metabolically efficient information transmission

Shared input to a population of neurons induces noise correlations, which decreases the information carried by a population activity. Inhibitory feedback in recurrent neural networks can reduce the noise correlations and thus increase the information carried by the averaged population activity. However, the activity of inhibitory neurons is costly. This inhibitory feedback decreases the gain of the population. Thus, depolarization of its neurons requires stronger excitatory synaptic input, which is associated with higher ATP consumption. Given that the goal of neural populations is to transmit as much information as possible at minimal metabolic costs, it is unclear whether the increased information transmission reliability provided by inhibitory feedback compensates for the additional costs. We analyze this problem in a network of leaky integrate-and-fire neurons receiving correlated input. By maximizing mutual information with metabolic cost constraints, we show that there is an optimal strength of recurrent connections in the network, which maximizes the value of mutual information-per-cost. For higher values of input correlation, the mutual information-per-cost is higher for recurrent networks with inhibitory feedback compared to feedforward networks without any inhibitory neurons. Our results, therefore, show that the optimal synaptic strength of a recurrent network can be inferred from metabolically efficient coding arguments and that decorrelation of the input by inhibitory feedback compensates for the associated increased metabolic costs.

neuroscience↗

Light-Responsive MicroRNAs in Human Retinal Tissue are Differentially Regulated by Distinct Wavelengths of Light

Retinal microRNA (miRNA) molecules play critical roles in a wide range of processes including cell proliferation, cell death, and synaptic plasticity. Recently they have been shown to regulate crucial processes that are associated with perception of light including visual function, light adaptation, and control of genes regulating circadian light entrainment. Despite extensive work on retinal miRNAs in different model organisms, light-regulated miRNAs in human retina are not known. Here, we aim to characterize these miRNAs. We generated light responsive human retinal organoids that express miRNA families and clusters typically found in the retina. Using in-house-developed photostimulation device, we found that 51 miRNAs are up- or downregulated upon brief photostimulation periods. Clustering analysis revealed that only two miRNA families and three clusters are upregulated, while eight families and ten cluster are downregulated upon photostimulation. Additionally, we found that the light-regulated miRNAs have rapid turnover, and their expression is differentially regulated by distinct wavelengths of light. This study demonstrates that only a small subset of miRNAs is light-responsive in human retinal tissue and the generated human retinal organoids are a valuable model for studying the molecular mechanisms of light perception in the retina.

cell biology↗

Stimulus duration encoding occurs early in the moth olfactory pathway

Pheromones convey rich ethological information and guide insects search behavior. Insects navigating in turbulent environments are tasked with the challenge of coding the temporal structure of an odor plume, obliging recognition of the onset and offset of whiffs of odor. The coding mechanisms that shape odor offset recognition remain elusive. We designed a device to deliver sharp pheromone pulses and simultaneously measured the response dynamics from pheromone-tuned olfactory receptor neurons (ORNs) in male moths and Drosophila. We show that concentration-invariant stimulus duration encoding is implemented in moth ORNs by spike frequency adaptation at two time scales. A linear-nonlinear model fully captures the underlying neural computations and offers an insight into their biophysical mechanisms. Drosophila use pheromone cis-vaccenyl acetate (cVA) only for very short distance communication and are not faced with the need to encode the statistics of the cVA plume. Their cVA-sensitive ORNs are indeed unable to encode odor-off events. Expression of moth pheromone receptors in Drosophila cVA-sensitive ORNs indicates that stimulus-offset coding is receptor independent. In moth ORNs, stimulus-offset coding breaks down for short (<200 ms) whiffs. This physiological constraint matches the behavioral latency of switching from the upwind surge to crosswind cast flight upon losing contact with the pheromone.

neuroscience↗

LuminoCell: a versatile and affordable luminometer platform for monitoring in-cell luciferase-based reporters

Luciferase reporter assays represent a simple and sensitive experimental system in cell and molecular biology to study multiple biological processes. However, the application of these assays is often limited by the costs of conventional luminometer instruments and the versatility of their use in different experimental conditions. Therefore, we aimed to develop a small, affordable luminometer allowing continuous measurement of luciferase activity, designed for inclusion into various kinds of tissue culture incubators. Here we introduce LuminoCell - an open-source platform for the construction of an affordable, sensitive, and portable luminometer capable of realtime monitoring in-cell luciferase activity. The LuminoCell costs $40, requires less than 1 hour to assemble, and it is capable of performing real-time sensitive detection of both magnitude and duration of the activity of major signalling pathways in cell cultures, including receptor tyrosine kinases (EGF, FGF), WNT/{beta}-catenin, and NF-{kappa}B. Additionally, we show that the LuminoCell is suitable to be used in cytotoxicity assays as well as for monitoring periodic circadian gene expression.

molecular biology↗

miR-183/96/182 cluster is an important morphogenetic factor targeting PAX6 expression in differentiating human retinal organoids

MicroRNAs (miRNAs), a class of small, non-coding RNA molecules represent important regulators of gene expression. Recent reports have implicated their role in the cell specification process acting as "fine-tuners" to ensure the precise gene expression at the specific stage of cell differentiation. Here we used retinal organoids differentiated from human pluripotent stem cells (hPSCs) as a model to closely investigate the role of a sensory organ-specific and evolutionary conserved miR-183/96/182 cluster. Using a miRNA tough decoy approach, we inhibited the miR-183/96/182 cluster in hPSCs. Inhibition of the miRNA cluster resulted in an increased expansion of neuroepithelium leading to abnormal "bulged" neural retina in organoids, associated with upregulation of neural-specific and retinal-specific genes. Importantly, we identified PAX6, a well-known essential gene in neuroectoderm specification, as a target of the miR-183/96/182 cluster members. Taken together, the miR-183/96/182 cluster not only represents an important regulator of PAX6 expression, but it also plays a crucial role in retinal tissue morphogenesis.

molecular biology↗