Biology subjects

Vogel, T.

Publications and source records attributed to Vogel, T..

At least 19 recordsLinked to original sources

bioRxiv2026

Epigenetic perturbation unravels diverse origins, state conversions and de-differentiation of cortical astrocytes

The role of epigenetic modifiers in astrogenesis is less understood compared to neurogenesis. For example, the Disruptor of telomeric silencing 1 like, DOT1L, conferring H3K79 methylation safeguards neural progenitors from premature differentiation in various brain regions, however, its role in astrogenesis has not yet been reported. Here, we decipher its role during astrogenesis using an Emx1-cre driven DOT1L conditional knock-out during the development of mouse cerebral cortex from E12.5 till P0. We describe two astrocyte types at P0, distinguishable by expression of phagocytosis markers genes. DOT1L loss-of-function (LOF) increased the number of those astrocytes that express fewer phagocytosis marker genes, while it affects a larger number of differentially expressed genes in those astrocytes that strongly express homeostasis marker genes. Our findings establish DOT1L as a barrier between these astrocyte states, limiting differentiation of the astrocytes expressing phagocytosis marker genes. We also identify multiple developmental origins of astrocytes. In addition to apical progenitors (AP), the prevailing stem cell population considered as origin of cortical astrocytes, we identify neural stem cells (NSC) in the dorsal telencephalon differentiating towards astrocytes, and Nkx2.1-lineage derived astrocytes, originating from the ventral telencephalon. This finding refines the prevailing view that dorsal telencephalon APs are the only source of embryonic cortical astrocytes, and enter astrogliogenesis after neurogenesis. We show that the expression of Emx1 discriminates different astrocyte origins during cortical development, and we describe a new set of transcription factors (TFs) that mark the state conversion between the homeostasis or phagocytosis expression programs in astrocytes. DOT1L orchestrates different TF networks, of which Lhx2, Nfia, Sox6, and Creb5 drive astrogliogenesis, and Nfia, Nfib, and Tcf4 affect astrocyte state conversion. Importantly, our analysis also shows that NSCs, APs and astrocytes de-differentiate within this lineage trajectory, and lowering the DOT1L-mediated epigenetic barrier strongly favours appearance of astrocytes with limited phagocytosis properties and reactivation of progenitor programs.

neuroscience↗

bioRxiv2026

Regulation of protein abundance in neurons by selective translation of 3'UTR isoforms

The precise regulation of protein synthesis is essential for cellular function and survival. In particular, in neurons, dysregulated mRNA translation is linked to impaired memory formation and is a hallmark of neurodegenerative diseases. Neurons are characterized by tissue-specific, long 3' untranslated regions (3'UTRs); in this study, we demonstrate that mRNA isoforms with these neuronal 3'UTRs are less efficiently translated than their short counterparts in Drosophila and mammalian brains. 3'UTR-dependent translation is based on a negative feedback mechanism centered around the two neural-enriched proteins ELAV and Pumilio. The long elav 3'UTR inhibits production of the neuronal ELAV protein, which in turn mediates 3'UTR extension of hundreds of neuronal genes. Those long 3'UTR isoforms are preferentially bound and translationally inhibited by Pumilio. The regulatory loop maintains optimal neuronal 3'UTR and protein levels in conditions of genetic and environmental perturbations; its disruption reduces animal viability and lowers stress resilience, and causes severe developmental phenotypes in flies and in human brain organoids. We propose 3'UTR-mediated translational control as an evolutionarily conserved mechanism for the maintenance of cell-type-specific proteostasis.

molecular biology↗

bioRxiv2026

Mapping spatial cell-cell communication programs by tailoring chains of cells for transformer neural networks

Recent advances in spatial transcriptomics and computational modeling enable the study of cellular interactions in situ. However, existing methods quantify ligand-receptor activity pairwise or between predefined cell groups, yielding overlapping signals and limited ability to summarize concurrent interactions into programs while localizing communication hotspots. We introduce scCChain, a transformer-based framework that integrates ligand-receptor activity into spatially resolved communication programs and localizes hotspots at spot and single-cell resolution. scCChain first derives candidate programs using structured dimensionality reduction. Subsequently, it samples programspecific communication chains by linking transcriptionally similar sender cells to candidate receivers via weighted random walks on a distance-informed cell graph, borrowing signal from similar neighbors. Transformer-based modeling then scores chains to prioritize communication programs and pinpoint hotspots across the tissue. Applied to human breast cancer spatial transcriptomics data at spot and single-cell resolution, scCChain supports both exploratory communication program discovery and targeted analysis of user-specified ligand-receptor pairs. In spot-level data, it prioritizes a tumor-associated program enriched for pro-angiogenic signaling that localizes to invasive regions. In imaging-based data, it highlights CXCL12-CXCR4 communication hotspots at cellular resolution. Here, we demonstrate that chain-based transformer modeling enables interpretable discovery and mapping of biological meaningful spatial communication programs within complex tissues.

bioinformatics↗

bioRxiv2026

Gradient boosting regression and convolution improve deconvolution of bulk transcriptomes

Bulk cell type deconvolution aims to estimate cell type composition from bulk transcriptomic data. So-called pseudobulk simulation, where single-cell RNA-seq data is aggregated to bulk-like expression profiles, represents a central concept in training and testing of deconvolution tools. However, deconvolution methods often lack interpretability and struggle to generalize from simulated to real data. We present GrooD (GradientBoostedDeconvolution), a second-generation deconvolution tool that uses gradient boosted trees trained on pseudobulks from scRNA-seq references. GrooDs pseudobulk simulations account for donor and condition variability to better model the complexity of real-world transcriptomes. We show that GrooD achieves state-of-the-art and superior deconvolution performance on human blood biospecimen. Furthermore, Grood provides visualizations of feature loadings and deconvolution results, that allow mechanistic insights for biological interpretation. We further integrate a convolution framework to assess the transcriptomic similarity between bulk and pseudobulk data, showing that higher similarity can indicate better deconvolution performance. GrooD deconvolution of blood transcriptomes from a large sepsis patient cohort identifies meaningful shifts in immune cell type composition that are associated with disease severity. By combining interpretability, robustness, and heterogeneous pseudobulk simulation, GrooD represents a powerful, user-friendly second-generation tool for cell type deconvolution.

bioinformatics↗

bioRxiv2024

Sparse dimensionality reduction for analyzing single-cell-resolved interactions

SummarySeveral approaches have been proposed to reconstruct interactions between groups of cells or individual cells from single-cell transcriptomics data, leveraging prior information about known ligand-receptor interactions. To enhance downstream analyses, we present an end-to-end dimensionality reduction workflow, specifically tailored for single-cell cell-cell interaction data. In particular, we demonstrate that sparse dimensionality reduction can pinpoint specific ligand-receptor interactions in relation to clusters of cell pairs. For sparse dimensionality reduction, we focus on the Boosting Autoencoder approach (BAE). Overall, we provide a comprehensive workflow, including result visualization, that simplifies the analysis of interaction patterns in cell pairs. This is supported by a Jupyter notebook that can readily be adapted to different datasets. Availability and implementationhttps://github.com/NiklasBrunn/Sparse-dimension-reduction Contactniklas.brunn@uniklinik-freiburg.de Supplementary material...

bioinformatics↗

bioRxiv2024

Premature upregulation of miR-92a's target RBFOX2 hijacks PTBP splicing and impairs cortical neuronal differentiation.

Alternative splicing is a crucial component of neuronal differentiation, yet the mechanisms that regulate splicing transitions during embryonic brain development remain incompletely understood. Here, we identify a post-transcriptional mechanism that times the expression of the splicing factor Rbfox2 during neurogenesis. RBFOX2 is normally expressed at low levels in neural progenitor cells (NPCs) and becomes upregulated in newborn neurons where it promotes neuronal differentiation. Unexpectedly, premature expression of Rbfox2 in NPCs of the embryonic mouse neocortex blocked their differentiation into neurons rather than promoting it. Genome-wide analysis revealed widespread alternative splicing changes enriched for NDD genes and associated with a hybrid NPC- and neuron-like splicing pattern that significantly deviates from the normal splicing developmental trajectory. Remarkably, premature Rbfox2 expression induced the inclusion of validated target exons that are otherwise repressed by PTBP2 pointing to an antagonistic splicing relationship. Integrative scRNA-seq analysis confirmed a negatively correlated expression between these two RNA-binding proteins (RBP) along differentiation pseudotime. Strikingly, we identified the NPC-specific miRNA 92a-3p as a regulator of the Rbfox2 expression switch: expression of miR-92a reduced RBFOX2 levels and reversed splicing patterns of target genes in vitro, while silencing miR-92a in vivo increased RBFOX2 expression in the embryonic cortex. Together, these findings reveal a previously unrecognized miRNA-RBP regulatory axis that ensures the proper timing of NPC-to-neuron splicing transitions in the developing cortex and provide new insights into splicing dysregulation as a contributing factor to the emergence of neurodevelopmental disorders. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=152 HEIGHT=200 SRC="FIGDIR/small/614071v3_ufig1.gif" ALT="Figure 1"> View larger version (28K): org.highwire.dtl.DTLVardef@16248caorg.highwire.dtl.DTLVardef@198dd0dorg.highwire.dtl.DTLVardef@d8887aorg.highwire.dtl.DTLVardef@1e8419e_HPS_FORMAT_FIGEXP M_FIG C_FIG Graphical Abstract Schematic representation of the proposed splicing regulation for the transition of undifferentiated NPCs to neurons in the developing cerebral cortex.

genomics↗

bioRxiv2024

DNMT1-Mediated Regulation of Inhibitory Interneuron Migration Impacts Cortical Architecture and Function

The fine-tuned establishment of neuronal circuits during the formation of the cerebral cortex is pivotal for its functionality. Developmental abnormalities affecting the composition of cortical circuits, which consist of excitatory neurons and inhibitory cortical interneurons (cINs), are linked to a spectrum of neuropsychiatric disorders. Excitatory neurons originate in cortical proliferative zones, while inhibitory interneurons migrate from discrete domains of the basal telencephalon into the cortex. This migration is intricately governed by intrinsic genetic programs and extrinsic cues. Our current study reveals the role of the DNA methyltransferase 1 (DNMT1) in regulating the expression of key genes implicated in mouse cIN development and in guiding the migration of somatostatin (SST)-expressing interneurons at postmitotic level within the developing cortex. Dnmt1 deletion causes SST+ cINs to exit prematurely from the superficial migratory stream. In addition to the perturbed migration pattern and altered gene expression signatures, Dnmt1-deficient SST+ cINs had a discernible non-cell autonomous effect on cortical progenitors, which culminated in nuanced alterations of layer thicknesses in the adult cortex. Our study uncovers that DNMT1 governs the migration of SST+ cINs and through this, their instructive role in sculpting the intricate cortical layer architecture by signaling to cortical progenitors, with pronounced effects on neuronal network function.

neuroscience↗

bioRxiv2024

The lincRNA Pantr1 is a FOXG1 target gene conferring site-specific chromatin binding of FOXG1

Derailed gene expression programs within the developing nervous system, encompassing both transcriptional and posttranscriptional processes, can cause diverse neurodevelopmental diseases (NDD). The NDD FOXG1-syndrome lacks full understanding of the mechanistic role of its eponymous gene product. While it is known that FOXG1 acts in part at the chromatin by binding to regulative regions, it is unclear what factors control its presence at specific sites. Long non-coding RNAs (lncRNAs) can mediate site-directed transcription factor binding, but their potential role in FOXG1-syndrome has not been described. Here, we show that FOXG1 localisation is regulated at selected loci through the lncRNA Pantr1. We identified FOXG1 as an upstream transcriptional activator of Pantr1 in human and mice. Further, we discovered that FOXG1 has the ability to associate with RNAs. Both, transcriptional regulation of Pantr1 by FOXG1 and association of both partners, build up a regulative network that impacts the localisation of FOXG1 at selected genomic loci. Specifically, Pantr1 facilitates cooperative presence of FOXG1/NEUROD1 at specific sites, and Pantr1 reduction leads to redistribution of FOXG1 to comparably more generic binding sites. The rescue of impaired dendritic outgrowth upon FOXG1 reduction by simultaneous overexpression of Pantr1 underlines the importance of the FOXG1/Pantr1 regulative network. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=79 SRC="FIGDIR/small/610239v1_ufig1.gif" ALT="Figure 1"> View larger version (23K): org.highwire.dtl.DTLVardef@19ecb05org.highwire.dtl.DTLVardef@22cfbcorg.highwire.dtl.DTLVardef@1748056org.highwire.dtl.DTLVardef@1959e3c_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗

bioRxiv2024

TSS-Captur: A User-Friendly Characterization Pipeline for Transcribed but Unclassified RNA transcripts

AO_SCPLOWBSTRACTC_SCPLOWRNA-seq and its 5-enrichment-based methods for prokaryotes have enabled the base-exact identification of transcription starting sites (TSSs) and have improved gene expression analysis. Computational methods analyze this experimental data to identify TSSs and classify them based on proximal annotated genes. While some TSSs cannot be classified at all (orphan TSSs), other TSSs are found on the reverse strand of known genes (antisense TSSs), but are not associated with the direct transcription of any known gene. Here, we introduce TSS-Captur, a novel pipeline, that uses computational approaches to characterize genomic regions starting from experimentally confirmed, but unclassified TSSs. By analyzing experimental TSS data, TSS-Captur characterizes unclassified signals, hence complementing prokaryotic genome annotation tools and enhancing the bacterial transcriptome understanding. TSS-Captur classifies extracted transcripts into coding or non-coding genes and predicts for each putative transcript its transcription termination site. For non-coding genes, the secondary structure is computed. Furthermore, putative promoter regions are analyzed to identify enriched motifs. An interactive report allows a seamless data exploration. We validated TSS-Captur with a Campylobacter jejuni dataset and characterized unlabeled non-coding RNAs in Streptomyces coelicolor. Besides its usage over the command-line, TSS-Captur is available as a web-application to enhance its user accessibility and explorative capabilities.

bioinformatics↗

bioRxiv2024

Random adversarial threshold search enables automated DNA screening

Custom DNA synthesis underpins modern biology, but controlled genes in the wrong hands could threaten many lives and public trust in science. In .1992, a virology-trained mass murderer tried and failed to obtain physical samples of Ebola; today, viruses can be assembled from synthetic DNA fragments. Screening orders for controlled sequences is unreliable and expensive because current similarity search algorithms yield false alarms requiring expert human review. Exact-match search can achieve perfect specificity among short known sequences by detecting subsequences unique to controlled genes, but can be trivially evaded by incorporating mutations. Here we rescue exact-match search by additionally screening for predicted functional variants of pseudo-randomly chosen subsequences that arent found in known unregulated genes. To experimentally assess robustness, we protected nine windows from the M13 bacteriophage virus, then invited a "red team" to launch up to 21,000 attacks at each window and measure the fitness of their designed mutants. We identified defensible windows from regulated pathogens, built a test database that our experiments indicate will block 99.999% of functional attacks, and verified its sensitivity against redesigned enzymes. Exact-match search with functional variant prediction offers a promising way to safeguard biotechnology by automating DNA synthesis screening. SummarySearching for exact matches to pre-computed functional variants unique to controlled genes enables sensitive, secure, and automated DNA synthesis screening.

synthetic biology↗

bioRxiv2024

Infusing structural assumptions into dimension reduction for single-cell RNA sequencing data to identify small gene sets

Dimensionality reduction greatly facilitates the exploration of cellular heterogeneity in single-cell RNA sequencing data. While most of such approaches are data-driven, it can be useful to incorporate biologically plausible assumptions about the underlying structure or the experimental design. We propose the boosting autoencoder (BAE) approach, which combines the advantages of unsupervised deep learning for dimensionality reduction and boosting for formalizing assumptions. Specifically, our approach selects small sets of genes that explain latent dimensions. As illustrative applications, we explore the diversity of neural cell identities and temporal patterns of embryonic development.

bioinformatics↗

bioRxiv2023

DOT1L deletion impairs the development of cortical Parvalbumin-expressing interneurons

The cortical plate is composed of excitatory and inhibitory neurons, the latter of which originate in the ganglionic eminences. From their origin in the ventral telencephalon, interneuron precursors migrate during embryonic development over some distance to reach their final destination in the cortical plate. The histone methyltransferase DOT1L is necessary for proper cortical plate development and layer distribution of glutamatergic neurons, however, its specific role on cortical interneuron development has not yet been explored. Here, we demonstrate that DOT1L affects interneuron development in a cell-autonomous manner. Deletion of Dot1l in MGE-derived interneuron precursor cells results in an overall reduction and altered distribution of GABAergic interneurons in the cortical plate at postnatal day (P) 0. Furthermore, we observed an altered proportion of GABAergic interneurons in the cortex and striatum at P21 with a significant decrease in Parvalbumin (PVALB)-expressing interneurons. Altogether, our results indicate that reduced numbers of cortical interneurons upon DOT1L deletion results from altered post-mitotic differentiation/maturation.

neuroscience↗

bioRxiv2022

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↗

bioRxiv2021

Overactive STAT3 drives accumulation of disease-associated CD21low B cells

Dysregulated STAT3 signalling is correlated with antibody-mediated autoimmunity and B- cell neoplasia, but its effect on B cells is underexplored. Here we address this in children with STAT3 gain-of-function (GOF) syndrome and in mice with STAT3T716M, the most common STAT3 GOF syndrome human mutation, or STAT3K658N, a dimerization interface mutation responsible for STAT3 GOF syndrome in two children. The main B cell consequence of overactive STAT3 was accumulation of CD19high CD21low atypical memory B cells in humans and of CD21low CD23low B cells in mice resembling age-associated B cells expressing T-bet, CD11c and plasma cell differentiation genes. Overactive STAT3 within B cells increased expression of many genes in the B cell receptor and T cell help pathways, increased the tolerogenic receptor CD22, but opposed B cell tolerance checkpoints and increased formation of T-bet+ B cells upon BCR and CD40 stimulation. These results reveal overactive STAT3 as a central driver of a key class of disease- associated B-lymphocytes in humans and mice.

immunology↗

bioRxiv2021

Integrative multi-omics analyses reveal multi-modal FOXG1 functions acting on epigenetic processes and in concert with NEUROD1 to regulate synaptogenesis in the mouse hippocampus

BackgroundFOXG1 has important functions for neuronal differentiation and balances excitatory/inhibitory network activity. Mutations in the human FOXG1 gene cause a rare neurodevelopmental disorder, FOXG1-syndrome, which manifests differing phenotypes, including severe cognitive dysfunction, microencephaly, social withdrawal, and communication and memory deficits. Changes at the molecular level underlying these functional abnormalities upon FOXG1 haploinsufficiency are largely unexplored, in human patients as well as in animals modelling the debilitating disease. MethodsWe present multi-omics data and explore comprehensively how FOXG1 impacts neuronal maturation at the chromatin level in the adult mouse hippocampus. We used RNA-, ATAC- and ChIP-sequencing of primary hippocampal neurons and co-immunoprecipitation to explore various levels of epigenetic changes and transcription factor networks acting to alter neuronal differentiation upon reduction of FOXG1. ResultsWe provide the first comprehensive multi-omics data set exploring FOXG1 presence at the chromatin and identifying the consequences of reduced FOXG1 expression in primary hippocampal neurons. Analyzing the multi-omics data, our study reveals that FOXG1 uses various different ways to regulate transcription at the chromatin level. On a genome-wide level, FOXG1 (i) both represses and activates transcription, (ii) binds mainly to enhancer regions, and (iii) bidirectionally alters the epigenetic landscape in regard to levels of H3K27ac, H3K4me3, and chromatin accessibility. Genes affected by the chromatin alterations upon FOXG1 reduction impact synaptogenesis and axonogenesis. This finding emphasizes the importance of FOXG1 to integrate and coordinate transcription of genes necessary for proper neuronal function by acting on a genome-wide level. Interestingly, FOXG1 acts through histone deacetylases (HDACs) and inhibition of HDACs partly rescued transcriptional alterations observed upon FOXG1 reduction. On a more detailed level of analysis, we show that FOXG1 (iv) operates synergistically with NEUROD1. Interestingly, we could not detect a clear hierarchy of these two key transcription factors, but instead provide first evidence that they act in highly concerted and orchestrated manner to control neuronal differentiation. ConclusionsThis integrative and multi-omics view of changes upon FOXG1 reduction reveals an unprecedented multimodality of FOXG1 functions converging on neuronal maturation, fueling novel therapeutic options based on epigenetic drugs to alleviate, at least in part, neuronal dysfunctions.

neuroscience↗

bioRxiv2021

Single-cell transcriptomic resolution of stem cells and their developmental trajectories in the hippocampus reveals epigenetic control of cell state perseverance

Despite conceptual research on hippocampus development and the application of single-cell-resolved technologies, the nature and maturation of its diverse progenitor populations are unexplored. The chromatin modifier DOT1L balances progenitor proliferation and differentiation, and conditional loss-of-function mice featured impaired hippocampus development. We applied single-cell RNA sequencing on DOT1L-mutant mice and explored cell trajectories in the E16.5 hippocampus. We resolved in our data five distinct neural stem cell populations with the developmental repertoire to specifically generate the cornu ammonis (CA) 1 field and the dentate gyrus (DG). Within the two developing CA1- and CA3-fields, we identified two distinct maturation states and we thus propose CA1- and CA3-differentiation along the radial axis. In the developing hippocampus, DOT1L is primarily involved in the proper development of CA3 and the DG, and it serves as a state-preserving epigenetic factor that orchestrates the expression of several important transcription factors that impact neuronal differentiation and maturation. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/452775v1_ufig1.gif" ALT="Figure 1"> View larger version (70K): org.highwire.dtl.DTLVardef@d611caorg.highwire.dtl.DTLVardef@2a0e3corg.highwire.dtl.DTLVardef@10c9082org.highwire.dtl.DTLVardef@1e358c8_HPS_FORMAT_FIGEXP M_FIG C_FIG O_LIThe developing hippocampus contains distinct and spatially separated NSC populations that differ in expression of a specific set of firstly described marker genes. C_LIO_LICA pyramidal neurons mature along the radial axis and pass through distinct maturation states. C_LIO_LIDOT1L preserves the dentate granule cell lineage in the developing hippocampus and limits maturation in the CA1- and CA3-fields development. C_LIO_LIDOT1L gates cell maturation as upstream regulator of transcription factor expression that confer instrumental roles in hippocampus development. C_LI

neuroscience↗

bioRxiv2020

A mouse model of Bardet-Biedl Syndrome has impaired fear memory, which is rescued by lithium treatment

Primary cilia are microtubule-based organelles present on most cells that regulate many physiological processes, ranging from maintaining energy homeostasis to renal function. However, the role of these structures in the regulation of behavior remains unknown. To study the role of cilia in behavior, we employ mouse models of the human ciliopathy, Bardet-Biedl Syndrome (BBS). Here, we demonstrate that BBS mice have significant impairments in context fear conditioning, a form of associative learning. Moreover, we show that postnatal deletion of BBS gene function, as well as congenital deletion, specifically in the forebrain, impairs context fear conditioning. Analyses indicated that these behavioral impairments are not the result of impaired hippocampal long-term potentiation. However, our results indicate that these behavioral impairments are linked to impaired hippocampal neurogenesis. Two-week treatment with lithium chloride partially restores the proliferation of hippocampal neurons which leads to a rescue of context fear conditioning. Overall, our results identify a novel role of cilia genes in hippocampal neurogenesis and long-term context fear conditioning. Author summaryThe primary cilium is a microtubule-based membranous projection on the cell that is involved in multiple physiological functions. Patients who have cilia dysfunction commonly have intellectual disability. However, it is not known how cilia affect learning and memory. Studying mouse models of a cilia-based intellectual disability can provide insight into learning and memory. One such cilia-based intellectual disability is Bardet-Biedl Syndrome (BBS), which is caused by homozygous and compound heterozygous mutations of BBS genes. We found that a mouse model of BBS (Bbs1M390R/M390R mice) has learning and memory defects. In addition, we found that other mouse models of BBS have similar learning and memory defects. These BBS mouse models have difficulty associating an environment with an aversive stimulus, a task designed to test context fear memory. This type of memory involves the hippocampus. We found that Bbs1M390R/M390R mice have decreased cell production in the hippocampus. Treating Bbs1M390R/M390R mice with a compound (lithium) that increases cell production in the hippocampus improved the learning and memory deficits. Our results demonstrate a potential role for cilia in learning and memory, and indicate that lithium is a potential treatment, requiring further study, for the intellectual disability phenotype of BBS.

animal behavior and cognition↗

bioRxiv2020

ZFP982 confers stem cell characteristics by regulating expression of Nanog, Zfp42 and Dppa3

We here used multi-omics analyses to identify and characterize zinc finger protein 982 (Zfp982) that confers stemness characteristics by regulating expression of Nanog, Zfp42 and Dppa3 in mouse embryonic stem cells (mESC). Network-based expression analyses comparing the transcriptional profiles of mESC and differentiated cells revealed high expression of Zfp982 in stem cells. Moreover, Zfp982 showed transcriptional overlap with Yap1, the major co-activator of the Hippo pathway. Quantitative proteomics and co-immunoprecipitation revealed interaction of ZFP982 with YAP1. ZFP982 used a GCAGAGKC motif to bind to chromatin, for example near the stemness conferring genes Nanog, Zfp42 and Dppa3 as shown by ChIP-seq. Loss-of-function experiments in mESC established that expression of Zfp982 is necessary to maintain stem cell characteristics. Zfp982 expression decreased with progressive differentiation, and knockdown of Zfp982 resulted in neural differentiation of mESC. ZFP982 localized to the nucleus in mESC and translocated to the cytoplasm upon neuronal differentiation. Similarly, YAP1 localized to the cytoplasm upon differentiation, but in mESC YAP1 was present in the nucleus and cytoplasm. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=143 SRC="FIGDIR/small/131847v1_ufig1.gif" ALT="Figure 1"> View larger version (34K): org.highwire.dtl.DTLVardef@476929org.highwire.dtl.DTLVardef@4921a9org.highwire.dtl.DTLVardef@14119e3org.highwire.dtl.DTLVardef@10abe1e_HPS_FORMAT_FIGEXP M_FIG ZFP982 is a regulator of stemness of mouse embryonic stem cells and acts as transcription factor by activating expression of stem cell genes including Nanog, Dppa3 and Zfp42. C_FIG HighlightsO_LIZfp982 is a new mouse stem cell defining marker gene. C_LIO_LIZfp982 is co-expressed with Yap1 and stem cell marker genes in mESC. C_LIO_LIZFP982 binds to DNA and induces expression of master genes of stemness in mESC. C_LIO_LIExpression of Zfp982 gene prevents neural differentiation and maintains stem cell characteristics. C_LIO_LIZFP982 and YAP1 interact in mESC and translocate to the cytoplasm upon neural differentiation. C_LI

cell biology↗