Biology subjects

Poovathingal, S.

Publications and source records attributed to Poovathingal, S..

At least 19 recordsLinked to original sources

bioRxiv2026

A subtype-specific gene regulatory program controls differential circuit integration of deep CA3 pyramidal neurons

How closely related neuronal subtypes integrate into different circuits remains poorly understood. Deep and superficial hippocampal CA3 pyramidal neurons (PNs) differ in intrinsic firing and mossy fiber (MF) input at specialized postsynaptic structures termed thorny excrescences (TEs). Combining developmental single-nucleus multiomics with genetic targeting, morphological analysis and electrophysiology, we identify the transcription factor ST18 as a regulator of deep CA3 subtype identity. ST18 marks sparsely thorny and burst-firing neurons, and gene regulatory analyses predict that it represses a superficial-associated program involved in dendritic spine development, synaptic organization, and electrophysiological properties. Postnatal ST18 loss shifts the transcriptional and chromatin landscape of deep CA3 PNs toward a superficial-like state. These molecular changes are accompanied by increased TE elaboration approaching superficial levels, enhanced excitatory synaptic activity, and reduced burst-firing. Together, these findings identify ST18-dependent restriction of an alternative subtype program as a mechanism linking molecular identity to distinct input connectivity patterns and intrinsic firing properties during postnatal circuit maturation.

neuroscience↗

bioRxiv2026

Multimodal profiling and intersectional genetics reveal CA1 border inhibitory neuron diversity and postnatal emergence of retrosplenial connectivity

Inhibitory neurons (INs) at the stratum radiatum/stratum lacunosum-moleculare border of hippocampal CA1 comprise diverse populations, including long-range-projecting neurons that innervate the retrosplenial cortex (RSCtx). However, their molecular organization and developmental connectivity remain poorly understood. Here, we combine multimodal transcriptomic profiling, intersectional genetics, and retrograde tracing to characterize CA1 border INs. We identified two major caudal ganglionic eminence-derived, Cxcl14-enriched populations distinguished by Syt6/Cck-related and Ntng1-expressing transcriptional profiles. We then generated a Cxcl14-Cre mouse line that, when combined with an IN-specific viral enhancer, provides genetic access to CA1 border INs. Retrograde labeling established that CA1 INs projecting to the RSCtx belong to the Ntng1-expressing population, and that this long-range projection emerges during postnatal mouse development, between postnatal days 3 and 5. Finally, analysis of genes encoding cell-surface proteins, key regulators of connectivity, revealed distinct expression profiles in RSCtx-projecting and SYT6-positive INs. Together, these findings establish a molecular and developmental framework for CA1 border IN diversity and provide a genetic strategy for investigating the assembly and function of these inhibitory circuits.

neuroscience↗

bioRxiv2025

SMARCA2/4-Dependent Chromatin Remodelling Establishes Gene Regulatory Programs in Early Human Embryos and Blastoids

Establishment of cell lineages during development is regulated by transcription factors binding at cis-regulatory elements to activate gene regulatory programs. Many transcription factors require chromatin remodellers for accessibility at their target sites. Although these key principles of gene regulation in mammalian development have emerged, the contribution of chromatin remodellers to early human embryogenesis remains unknown. Here, we show that the SWI/SNF ATPases SMARCA2 and SMARCA4 are required for establishing the epiblast and trophectoderm fates during human pre-implantation development and facilitate accessibility at regulatory elements. We find that degradation of SWI/SNF ATPases disrupts epiblast formation in blastoids and enhances trophectoderm specification, while also showing transcriptional and chromatin misregulation in TE-like cells. In human embryos, SWI/SNF perturbation impaired blastocyst formation and the establishment of the inner cell mass. Single-nucleus chromatin accessibility and transcriptome profiling in blastoids reveals that the SWI/SNF complex safeguards the naive epiblast and trophectoderm programs and facilitates enhancer and transcription factor motif accessibility. These findings identify SWI/SNF chromatin remodellers as critical regulators of embryonic lineage specification during human pre-implantation development.

developmental biology↗

bioRxiv2025

The Alzheimer's therapeutic Lecanemab induces an amyloid-clearing program in microglia

Controversies over anti-amyloid immunotherapies underscore the need to elucidate their mechanisms of action. Here we demonstrate that Lecanemab, a leading anti-A{beta} antibody, mediates amyloid clearance by triggering effector functions in the microglia. Using a human microglia xenograft model, we show that Lecanemab significantly reduces A{beta} pathology and associated neuritic damage, while neither Fc-inactivated Lecanemab nor microglia deficiency elicit this effect despite intact plaque binding. Single-cell RNA sequencing and spatial transcriptomic analyses reveal that Lecanemab induces a focused transcriptional program that enhances phagocytosis, lysosomal degradation, metabolic reprogramming, interferon gamma genes, and antigen presentation. Finally, we identify SPP1/osteopontin as a major factor induced by Lecanemab treatment and demonstrate its role in promoting A{beta} clearance. These findings highlight that effective amyloid removal depends on the engagement of microglia through Fc fragment, providing critical insights for optimizing anti-amyloid therapies in AD.

neuroscience↗

bioRxiv2025

X-chromosome upregulation operates on a gene-by-gene basis at RNA and protein levels

Gene dosage compensation mechanisms are crucial for mammalian development. In mice, recent findings show that cells can sense the number of X chromosomes. Loss or inactivation of one of the two X chromosomes is compensated by upregulating the remaining active X chromosome, a process termed X-chromosome upregulation (XCU). However, how cells sense X-chromosome dosage and induce XCU remains unclear. Here, we show that heterozygous X chromosome fragment deletions in mouse pluripotent stem cells induces XCU in trans, and that compensation takes place at the mRNA and protein level. Furthermore, we found that inducing gene silencing in cis on autosomes induces gene dosage compensation in trans. This work provides significant insights into the molecular foundations of mammalian gene dosage compensation.

developmental biology↗

bioRxiv2025

Human Myelin Spheres for In Vitro Oligodendrocyte Maturation, Myelination and Neurological Disease Modeling

Demyelinating diseases, such as multiple sclerosis, damage the protective myelin sheaths of the central nervous system. The development of effective therapies has been hampered by the lack of models that accurately replicate human myelin biology. Here we present a novel method to generate human myelin spheres (MyS) by coculturing of hPSC-derived neuronal and oligodendrocyte precursor cells, to create myelinated neurons. Using multimodal analyses including confocal and (electron)microscopy, single-nuclei transcriptomics, lipidomics, and electrophysiology, we demonstrate myelination in MyS as early as six weeks into coculture. These myelinated structures mature over time into multilamellar and compacted myelin sheaths with lipid compositions and transcriptomic profiles mirror the temporal dynamics of in vivo human oligodendrocyte development and neuronal myelination, resembling those of late fetal/postnatal oligodendrocytes. By employing lysolecithin-induced demyelination and Rabies virus infection experiments, we demonstrate the potential of MyS as an innovative, physiologically relevant platform for studying myelin-related neurodegeneration and neuroinfection.

neuroscience↗

bioRxiv2025

HyDrop v2: Scalable atlas construction for training sequence-to-function models

Deciphering cis-regulatory logic underlying cell type identity is a fundamental question in biology. Single-cell chromatin accessibility (scATAC-seq) data has enabled training of sequence-to-function deep learning models allowing decoding of enhancer logic and design of synthetic enhancers. Training such models requires large amounts of high-quality training data across species, organs, development, aging, and disease. To facilitate the cost-effective generation of large scATAC-seq atlases for model training, we developed a new version of the open-source microfluidic system HyDrop with increased sensitivity and scale: HyDrop v2. We generated HyDrop v2 atlases for the mouse cortex and Drosophila embryo development and compared them to atlases generated on commercial platforms. HyDrop v2 data integrates seamlessly with commercially available chromatin accessibility methods (10x Genomics). Differentially accessible regions and motif enrichment across cell types are equivalent between HyDrop-v2 and 10x atlases. Sequence-to-function models trained on either atlas are comparable as well in terms of enhancer predictions, sequence explainability, and transcription factor footprinting. By offering accessible data generation, enhancer models trained on HyDrop-v2 and mixed atlases can contribute to unraveling cell-type specific regulatory elements in health and disease.

bioinformatics↗

bioRxiv2025

A dynamic gene regulatory code drives synaptic development of hippocampal granule cells

Connecting neurons into functional circuits requires the formation, maturation, and plasticity of synapses. While advances have been made in identifying individual genes regulating synapse development, the molecular programs orchestrating their action during circuit integration of neurons remain poorly understood. Here, we take a multiomic approach to reconstruct gene regulatory networks (GRNs), comprising transcription factors (TFs), regulatory regions, and predicted target genes, in hippocampal granule cells (GCs). We find a dynamic gene regulatory code, with early and late postnatal GRNs regulating cell morphogenesis and synapse organization and plasticity, respectively. Our results predict sequential regulations, with early-active TFs delaying the activation of later GRNs and their putative synaptic targets. Using a loss-of-function approach, we identify Bcl6 as a regulator of pre- and postsynaptic structural maturation, and Smad3 as a modulator of inhibitory synaptic transmission, in GCs. Together, these findings highlight the networks of key TFs and target genes orchestrating GC synapse development.

neuroscience↗

bioRxiv2024

Parkinson's disease-associated Pink1 loss disrupts vesicle trafficking in ensheathing glia causing dopaminergic neuron synapse loss

Parkinsons disease (PD) is commonly associated with the loss of dopaminergic neurons in the substantia nigra, but many other cell types are affected even before neuron loss occurs. Recent studies have linked oligodendrocytes to early stages of PD, though their precise role is still unclear. PINK1 is mutated in familial PD, and through unbiased single-cell sequencing of the entire brain of Drosophila Pink1 models, we observed significant gene deregulation in ensheathing glia (EG); cells that share functional similarities with oligodendrocytes. We found that the loss of Pink1 leads to abnormalities in EG, similar to the reactive response of EG seen upon nerve injury. Using cell-type-specific transcriptomics, we identified deregulated genes in EG as potential functional modifiers. Specifically downregulating two trafficking factors in EG, Vps35 and Vps13, also mutated in PD, was sufficient to rescue neuronal function and protect against dopaminergic synapse loss. Our findings demonstrate that Pink1 loss in neurons triggers an injury-like response in EG, and that Pink1 loss in EG in turn disrupts neuronal function. Vesicle trafficking components, which may regulate membrane interactions between organelles in EG, seem to play a role in maintaining neuronal health and ultimately preventing dopaminergic synapse loss. Our work highlights the essential role of glial support cells in the pathogenesis of PD and identifies vesicle trafficking within these cells in disease progression.

neuroscience↗

bioRxiv2024

Enhancer-driven cell type comparison reveals similarities between the mammalian and bird pallium

Combinations of transcription factors govern the identity of cell types, which is reflected by enhancer codes in cis-regulatory genomic regions. Cell type-specific enhancer codes at nucleotide-level resolution have not yet been characterized for the mammalian neocortex. It is currently unknown whether these codes are conserved in other vertebrate brains, and whether they are informative to resolve homology relationships for species that lack a neocortex such as birds. To compare enhancer codes of cell types from the mammalian neocortex with those from the bird pallium, we generated single-cell multiome and spatially-resolved transcriptomics data of the chicken telencephalon. We then trained deep learning models to characterize cell type-specific enhancer codes for the human, mouse, and chicken telencephalon. We devised three metrics that exploit enhancer codes to compare cell types between species. Based on these metrics, non-neuronal and GABAergic cell types show a high degree of regulatory similarity across vertebrates. Proposed homologies between mammalian neocortical and avian pallial excitatory neurons are still debated. Our enhancer code based comparison shows that excitatory neurons of the mammalian neocortex and the avian pallium exhibit a higher degree of divergence than other cell types. In contrast to existing evolutionary models, the mammalian deep layer excitatory neurons are most similar to mesopallial neurons; and mammalian upper layer neurons to hyper- and nidopallial neurons based on their enhancer codes. In addition to characterizing the enhancer codes in the mammalian and avian telencephalon, and revealing unexpected correspondences between cell types of the mammalian neocortex and the chicken pallium, we present generally applicable deep learning approaches to characterize and compare cell types across species via the genomic regulatory code.

genomics↗

bioRxiv2024

Nova-ST: Nano-Patterned Ultra-Dense platform for spatial transcriptomics

Spatial transcriptomics workflows using barcoded capture arrays are commonly used for resolving gene expression in tissues. However, existing techniques are either limited by capture array density or are cost prohibitive for large scale atlasing. We present Nova-ST, a dense nano-patterned spatial transcriptomics technique derived from randomly barcoded Illumina sequencing flow cells. Nova-ST enables customized, low cost, flexible, and high-resolution spatial profiling of large tissue sections. Benchmarking on mouse brain sections demonstrates significantly higher sensitivity compared to existing methods, at reduced cost. MotivationSpatial transcriptomics analysis is becoming exceedingly important in biomedical and clinical research. Several platforms for spatial transcriptomics are currently available, but most of these technologies are commercialized making them inflexible and cost prohibitive. The motivation for this work was to establish an open source, flexible and sensitive sequencing-based spatial transcriptomics platform that can provide a considerable cost advantage for performing large scale spatial profiling. We provide thorough and in-depth guidance and resources both for the experimental and computational components of the workflow, to facilitate easy implementation of Nova-ST.

genomics↗

bioRxiv2023

The microcephaly gene ASPM is required for the timely generation of human outer-radial glia progenitors by controlling mitotic spindle orientation

Abnormal spindle-like, microcephaly-associated (ASPM) is the most commonly mutated gene in primary microcephaly (MCPH), characterized by reduced brain size and intellectual deficiency. The mechanisms underlying MCPH have remained unclear, as ASPM disruption leads to distinct phenotypes depending on the species studied. Here, we studied the impact of ASPM pathogenic mutations on human corticogenesis in organoid models. We found that at earliest stages of neurogenesis, ASPM mutant cortical progenitors, located at the apical surface of the neuroepithelium, display transient mitotic spindle randomization. The mutant progenitors then delaminate basally to adopt precociously the characteristics of outer radial glia cells (oRGC), a population of progenitors selectively amplified in human corticogenesis. Subsequently, cortical progenitors are depleted through decreased amplification and increased apoptosis. Thus, ASPM regulates the timely generation of oRGC by controlling mitotic spindle orientation, shedding light on how species-specific features of neurogenesis may confer vulnerability to neurodevelopmental diseases.

neuroscience↗

bioRxiv2023

Single-cell transcriptomics reveals that glial cells integrate homeostatic and circadian processes to drive sleep-wake cycles

The sleep-wake cycle is determined by circadian and sleep homeostatic processes. However, the molecular impact of these processes and their interaction in different brain cell populations remain unknown. To fill this gap, we profiled the single-cell transcriptome of adult Drosophila brains across the sleep-wake cycle and four circadian times. We show cell type-specific transcriptomic changes with glia displaying the largest variation. Glia are also among the few cell types whose gene expression correlates with both sleep homeostat and circadian clock. The sleep-wake cycle and sleep drive level affect expression of clock gene regulators in glia, while diminishing the circadian clock specifically in glia impairs homeostatic sleep rebound after sleep deprivation. These findings reveal a comprehensive view of the effects of sleep homeostatic and circadian processes on distinct cell types in an entire animal brain and reveal glia as an interaction site of these two processes to determine sleep-wake dynamics.

animal behavior and cognition↗

bioRxiv2023

Rescuing early Parkinson-induced hyposmia prevents dopaminergic system failure

The classical diagnosis of Parkinsonism is based on motor symptoms that are the consequence of nigrostriatal pathway dysfunction and reduced dopaminergic output. However, a decade prior to the emergence of motor issues, patients frequently experience non-motor symptoms, such as a reduced sense of smell (hyposmia). The cellular and molecular bases for these early defects remain enigmatic. To explore this, we developed a new collection of five fruit fly models of familial Parkinsonism and conducted single-cell RNA sequencing on young brains of these models. Interestingly, cholinergic projection neurons are the most vulnerable cells and genes associated with presynaptic function are the most deregulated. Additional single nucleus sequencing of three specific brain regions of Parkinsons disease patients confirms these findings. Indeed, the disturbances lead to early synaptic dysfunction, notably affecting cholinergic olfactory projection neurons crucial for olfactory function in flies. Correcting these defects specifically in olfactory cholinergic interneurons in flies or inducing cholinergic signaling in Parkinson mutant human induced dopaminergic neurons in vitro using nicotine, both rescue age-dependent dopaminergic neuron decline. Hence, our research uncovers that one of the earliest indicators of disease in 5 different models of familial Parkinsonism is synaptic dysfunction in higher-order cholinergic projection neurons and this contributes to the development of hyposmia. Furthermore, the shared pathways of synaptic failure in these cholinergic neurons ultimately contribute to dopaminergic dysfunction later in life.

neuroscience↗

bioRxiv2023

Traumatic brain injury modifies adult hippocampal neural stem cell fate to promote neurogenesis at the cost of astrogliogenesis.

Moderate Traumatic brain injury (TBI) can result in long-lasting changes in brain function. Although frequently spared from the acute primary injury, the hippocampus becomes affected during a secondary phase that takes place hours, or even days, after TBI, contributing to cognitive deficits. The hippocampus is one of the few brain areas in the adult brain harboring native neural stem cells (NSCs) that continue to generate new neurons (neurogenesis), and to a lesser extent new astrocytes (astrogliogenesis). While deregulation of hippocampal NSCs and neurogenesis have been observed after TBI, very little is known about how TBI may affect hippocampal astrogliogenesis. Here, we aimed to assess how TBI affects hippocampal NSCs and their subsequent commitment to the neuronal or astroglial lineages. Using a controlled cortical impact model of TBI, single cell RNA sequencing and spatial transcriptomics, we observed a cell population-specific increase in NSC-derived neuronal cells and a decrease in NSC-derived astrocytic cells. These cellular changes were associated with cell-population specific changes in gene expression and dysplasia within the dentate gyrus. Overall, our findings support the conclusion that TBI modifies adult hippocampal NSC fate to promote neurogenesis at the cost of astrogliogenesis, and highlights specific cell populations as possible targets to counteract the changes induced by TBI in the hippocampus.

neuroscience↗

bioRxiv2023

Unravelling cell type specific response to Parkinson's Disease at single cell resolution

Parkinsons Disease (PD) is the second most common neurodegenerative disorder and is generally characterized by impaired motor functions. It currently affects 6.3 million people aged 60 years and more, worldwide. The pathological hallmarks of PD are Lewy bodies (abnormal aggregation of -synuclein inside cells), which are observed primarily in the substantia nigra (SN) region of the midbrain. It is yet not known how different cell types in SN respond during PD and what are the molecular mechanisms underlying neurodegeneration. To address this question, we generated a large-scale single cell transcriptomics dataset from human post-mortem SN tissue of 29 donors including 15 sporadic cases and 14 controls. We obtained data for a total of [~]80K nuclei, representing major cell types of the brain (including neurons, astrocytes, microglia and oligodendrocytes). Pathway and differential gene expression analysis revealed multicellular character of PD pathology involving major cellular response from neuronal and glial cells.

bioinformatics↗

bioRxiv2022

Single-nucleus co-expression networks of dopaminergic neurons support iron accumulation as a plausible explanation to their vulnerability in Parkinson's disease

Motivationgene co-expression networks have been widely applied to identify critical genes and pathways for neurodegenerative diseases such as Parkinsons and Alzheimers disease. Now, with the advent of single-cell RNA-sequencing, we have the opportunity to create cell-type specific gene co-expression networks. However, single-cell RNA-sequencing data is characterized by its sparsity, amongst some other issues raised by this new type of data. ResultsWe present scCoExpNets, a framework for the discovery and analysis of cell-type specific gene coexpression networks (GCNs) from single-cell RNA-seq data. We propose a new strategy to address the problem of sparsity, named iterative pseudo-cell identification. It consists of adding the gene expression of pairs of cells that belong to the same individual and the same cell-type while the number of cells is over 200, thus creating multiple matrices and multiple scGCNs for the same cell-type, all of them seen as alternative and complementary views of the same phenomena. We applied this new tool on a snRNA-seq dataset human post-mortem substantia nigra pars compacta tissue of 13 controls and 14 Parkinsons disease (PD) cases (18 males and 9 females) with 30-99 years. We show that one of the hypotheses that support the selective vulnerability of dopaminergic neurons in PD, the iron accumulation, is sustained in our dopaminergic neurons network models. Moreover, after successive pseudo-celluling iterations, the gene groups sustaining this hypothesis remain intact. At the same time, this pseudo-celulling strategy also allows us to discover genes whose grouping changes considerably throughout the iterations and provides new insights. Finally, since some of our models were correlated with diagnosis and age at the same time, we also developed our own framework to create covariate-specific GCNs, called CovCoExpNets. We applied this new software to our snRNA-seq dataset and we identified 11 age-specific genes and 5 diagnosis-specific genes which do not overlap. Availability and implementationThe CoExpNets implementations are available as R packages: scCoExpNets for creating single-cell GCNs and CovCoExpNets for creating covariate-specific GCNs. Users can either download the development version via github https://github.com/aliciagp/scCoExpNets and https://github.com/aliciagp/CovCoExpNets Contactalicia.gomez1@um.es Supplementary informationsupplementary data is available online.

bioinformatics↗

bioRxiv2022

Enhancer grammar of liver cell types and hepatocyte zonation states

Cell type identity is encoded by gene regulatory networks (GRN), in which transcription factors (TFs) bind to enhancers to regulate target gene expression. In the mammalian liver, lineage TFs have been characterized for the main cell types, including hepatocytes. Hepatocytes cover a relatively broad cellular state space, as they differ significantly in their metabolic state, and function, depending on their position with respect to the central or portal vein in a liver lobule. It is unclear whether this spatially defined cellular state space, called zonation, is also governed by a well-defined gene regulatory code. To address this challenge, we have mapped enhancer-GRNs across liver cell types at high resolution, using a combination of single cell multiomics, spatial omics, GRN inference, and deep learning. We found that cell state changes in transcription and chromatin accessibility in hepatocytes, liver sinusoidal endothelial cells and hepatic stellate cells depend on zonation. Enhancer-GRN mapping suggests that zonation states in hepatocytes are driven by the repressors Tcf7l1 and Tbx3, that modulate the core hepatocyte GRN, controlled by Hnf4a, Cebpa, Hnf1a, Onecut1 and Foxa1, among others. To investigate how these TFs cooperate with cell type TFs, we performed an in vivo massively parallel reporter assay on 12,000 hepatocyte enhancers and used these data to train a hierarchical deep learning model (called DeepLiver) that exploits both enhancer accessibility and activity. DeepLiver confirms Cebpa, Onecut, Foxa1, Hnf1a and Hnf4a as drivers of enhancer specificity in hepatocytes; Tcf7l1/2 and Tbx3 as regulators of the zonation state; and Hnf4a, Hnf1a, AP-1 and Ets as activators. Finally, taking advantage of in silico mutagenesis predictions from DeepLiver and enhancer assays, we confirmed that the destruction of Tcf7l1/2 or Tbx3 motifs in zonated enhancers abrogates their zonation bias. Our study provides a multi-modal understanding of the regulatory code underlying hepatocyte identity and their zonation state, that can be exploited to engineer enhancers with specific activity levels and zonation patterns.

genomics↗