In a groundbreaking study published in Nature Neuroscience, Baldassari, Klingler, Teijeiro, and colleagues push the frontier of neurological disorder research by employing cutting-edge single-cell genomics and transcriptomics to unravel the complex cellular architecture of mosaic focal cortical dysplasia (FCD). This innovative work marks a monumental leap in understanding the pathophysiology underpinning one of the most common causes of drug-resistant epilepsy in children and young adults. Using a combination of meticulous single-cell genotyping coupled with thorough transcriptomic profiling, the team sheds light on the heterogeneity and mosaic nature of the disorder, providing a blueprint for more personalized therapeutic approaches.
Focal cortical dysplasia is a malformation of cortical development characterized by disrupted lamination and aberrant neuronal morphology, which culminates in the generation of epileptogenic tissue. Historically, investigations into FCD have been hampered by the tissue heterogeneity and limitations in resolving individual cellular contributions. The authors overcome these challenges by harnessing single-cell sequencing technologies that allow the dissection of genetic mutations and transcriptional landscapes at the resolution of individual cells. This approach reveals the mosaicism inherent to FCD lesions, where only subsets of neurons and glial cells harbor pathogenic variants, while neighboring cells may remain genetically unaffected.
Central to this investigation is the application of comprehensive single-cell whole-genome genotyping. By isolating thousands of individual cells from resected cortical tissue of affected patients, the researchers identified somatic mutations in key mTOR pathway genes, which have long been implicated in cortical malformations and epilepsy. These mutations are not uniformly distributed but rather restricted to discrete cellular populations, which define the mosaic nature of the dysplastic tissue. This evidence challenges prior assumptions of uniform mutation across lesions and emphasizes the complexity of mosaicism in neurodevelopmental disorders.
Going beyond genotyping, the study performs single-cell RNA sequencing to interrogate transcriptomic profiles and reveal the functional consequences of somatic mutations at a molecular level. Intriguingly, dysplastic cells with mutations exhibit altered gene expression patterns notably enriched in pathways governing cell growth, synaptic signaling, and inflammation. This aberrant transcriptional state likely contributes to the epileptogenicity of the lesion and offers clues to the cellular processes that could be therapeutically targeted to modulate disease progression or seizure activity.
What sets this research apart is the integration of genotypic and transcriptomic data within the same single cells, providing unparalleled insight into how genetic mosaicism shapes cellular phenotypes in FCD. The team’s data convincingly demonstrate that mutant and wild-type cells coexist within one lesion, creating a microenvironment with unique intercellular interactions that may drive pathological network hyperexcitability. This nuanced understanding permits a new conceptual model of FCD pathology as a stable mosaic network rather than a homogenous mass of defective cells.
Furthermore, the authors explore the diversity of affected cell types within dysplastic tissue. They identify not only neurons but also astrocytes and oligodendrocyte precursor cells harboring mutations, indicating that multiple lineages contribute to the malformation and its epileptogenic potential. This multi-lineage mosaicism extends the potential impact of somatic mutations beyond neuronal circuits and into glial-mediated modulation of brain function, opening new avenues for research into neuroglial interactions in epilepsy.
A particularly striking discovery from the transcriptomic data is the activation of neuroinflammatory pathways selectively in mutant cells, suggesting that inflammation and immune signaling may play a crucial role in the pathogenesis of focal cortical dysplasia. This aligns with emerging evidence that immune-mediated processes influence epileptogenesis and highlights potential targets for adjunctive anti-inflammatory therapy to complement surgical intervention.
The study also leverages advanced computational algorithms to reconstruct developmental lineage trajectories of mutated cells, revealing how somatic mutations emerge during corticogenesis and lead to clonal expansion of dysplastic cells. This temporal and spatial mapping of mutant clones provides critical insights into the timing and cellular context for effective therapeutic intervention, emphasizing the potential for early detection and precision medicine approaches.
Clinically, these findings have profound implications. They suggest that future diagnostic regimes for epilepsy patients with FCD may benefit from single-cell molecular profiling to accurately characterize lesion heterogeneity and identify actionable mutations. Such precision diagnostics could be pivotal in stratifying patients who may respond to targeted inhibitors of pathogenic pathways like mTOR, thereby moving away from one-size-fits-all epilepsy surgery.
Moreover, the data serve as a foundation for developing molecular biomarkers that predict seizure frequency, prognosis, or response to therapy. For instance, the gene expression signatures uncovered could be translated into imaging or cerebrospinal fluid markers that non-invasively monitor disease activity or treatment efficacy, significantly improving patient management.
On the therapeutic front, the delineation of mutation-bearing cell populations prompts exciting possibilities for cell-type specific interventions, such as gene editing tools or molecular therapies delivered to discrete cellular subtypes. By precisely targeting mutant cells while sparing normal tissue, such approaches hold promise for minimizing side effects and maximizing treatment success in notoriously challenging refractory epilepsy.
The research also underscores the value of interdisciplinary collaboration, merging expertise in neurogenetics, bioinformatics, neuropathology, and clinical neurology. The use of extensive patient-derived tissue and the development of bespoke analytical pipelines exemplify how state-of-the-art technology platforms can be harnessed to decode complex neurological disorders systematically.
Looking beyond FCD, the methodologies and findings presented may have broad ramifications for other neurodevelopmental and neuropsychiatric diseases characterized by somatic mosaicism, including autism spectrum disorders and schizophrenia. This study paves the way for a paradigm shift in brain disease research, emphasizing the mosaic architecture of pathology as a fundamental principle.
Additionally, the high-resolution data generated offer a valuable resource for the neuroscience community, providing a reference map to explore gene regulatory networks, cellular interactions, and mutation-driven pathobiology. By publicly sharing their datasets, the authors foster an open scientific atmosphere encouraging further discovery and validation.
One of the most compelling aspects of this work is its potential to inspire novel experimental models. By identifying exact mutation profiles and affected cell types, researchers can engineer more faithful in vitro and in vivo models to study epileptogenesis or screen candidate drugs, accelerating translation from bench to bedside.
In summary, Baldassari et al. deliver a tour de force study that redefines our understanding of focal cortical dysplasia through single-cell resolution genetic and transcriptomic characterization. Their findings elucidate the mosaicism that orchestrates the lesion’s pathogenesis, identify critical molecular pathways driving disease, and chart a course toward precision diagnostics and targeted therapeutics for patients with epileptic brain malformations. This landmark study not only advances epilepsy research but also exemplifies the transformative power of single-cell technologies in tackling intricate brain disorders.
Subject of Research: Single-cell genetic and transcriptomic analysis of mosaic focal cortical dysplasia in drug-resistant epilepsy patients
Article Title: Single-cell genotyping and transcriptomic profiling of mosaic focal cortical dysplasia
Article References:
Baldassari, S., Klingler, E., Teijeiro, L.G. et al. Single-cell genotyping and transcriptomic profiling of mosaic focal cortical dysplasia. Nat Neurosci (2025). https://doi.org/10.1038/s41593-025-01936-z
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Tags: cellular architecture of epilepsydrug-resistant epilepsy in childrenfocal cortical dysplasia researchgenetic mutations in FCDheterogeneity in neurological disordersmosaic focal cortical dysplasianeuronal morphology abnormalitiespathophysiology of cortical malformationspersonalized therapeutic approaches for epilepsySingle-Cell Genomicssingle-cell sequencing technologiestranscriptomic profiling techniques
