Nenad Šestan

The paper identifies an RA-autoregulatory loop in the developing PFC that maintains RA signaling and defines cortical areal identities.

The paper presents the MIND model, showing that competing induction and exclusion programs shape the sensorimotor-to-association axis in the neocortex across species.

This study identifies multicellular spatial molecular programs in meningiomas using multi-omic data and develops a model to infer these programs from histopathology.

The paper compiles a large transcriptomic dataset of neocortical development and uses joint matrix decomposition to identify conserved transcriptome dynamics across mammals and developmental stages.

The paper identifies human-specific transcriptomic and regulatory features in the cerebellum, including ZP2's role in synapse development and regulation.

The temporal analysis of gene regulatory networks in human neural stem cells reveals multiple early critical phases associated with cortical disorders and neuropsychiatric traits.

The paper compares distractibility between marmosets and macaques in cognitive tasks and links it to dopamine D1 receptor expression in prefrontal parvalbumin neurons.

The paper identifies mammalian-specific gene regulatory elements and their role in neocortical neuron subtype diversity and connectivity, linking them to neurodevelopmental disorders.

This study identifies SOX4, SOX11, and TFAP2D as critical regulators of ventropallial excitatory neuron development and PFC connectivity in mice, with conserved roles in humans.

Spatial tri-omic sequencing (DBiT ARP-seq and DBiT CTRP-seq) and CODEX imaging map chromatin, RNA, and protein dynamics across mammalian brain development and lysolecithin-induced neuroinflammation.

The paper processes single-nuclei multi-omics data from 388 human brains to identify regulatory elements and build cell-type networks, revealing changes in aging and neuropsychiatric disorders.

The paper examines how the 3D genome landscape and disease influence the functional associations of human genes based on their evolutionary age and lineage restriction.

The paper characterizes the evolution of the brain N-glycome across primates, finding increased complexity and human-specific sialic acid linkage changes.

The paper uses single-cell transcriptomics to identify molecular programs in developing macaque telencephalon, revealing primate-specific signaling and gene roles in regional specification and neural stem cell fate.

This study creates a cross-species proteomic map of synapse development in human, macaque, and mouse neocortex, revealing slower human PSD maturation and its potential link to neoteny.

This study shows that VEGF-C overexpression enhances brain fluid drainage, provides neuroprotection, and improves stroke outcomes in mice.

This study identifies SMARCC1 mutations as a cause of congenital hydrocephalus, showing they lead to neural progenitor dysfunction and a new syndrome called SaDDS.

The paper constructs a cross-ancestry, cell-type-informed gene regulatory atlas of the developing human brain, identifying genetic regulation and linking it to neuropsychiatric disorders.

The paper examines RNA editing changes during human cortical development, identifying expansion of editing sites and their genetic regulation linked to neurological disorders.

This study maps RNA translation dynamics in the human brain using ribosome profiling, identifying thousands of novel translation events and brain-specific microproteins linked to schizophrenia.

The paper quantifies developmental changes in voltage-gated sodium channel exon expression in human and mouse neocortex, identifying key splicing transitions associated with neurological disorders.

The paper provides a comprehensive gene expression profile of all 302 neurons in the C. elegans nervous system and identifies cis-regulatory elements and adhesion proteins involved in synaptic specificity.

This study maps the spatial and single-cell transcriptional landscape of human cerebellar development, revealing cell-type-specific gene expression and implications for neurological disorders.

The paper identifies transcriptomic differences in human pluripotent stem cells that correlate with retinoic acid response and neural fate bias.

The paper introduces a machine learning method to detect somatic L1 insertions in human brain tissue, revealing their widespread distribution in neurons and glia and potential role in neuropsychiatric diseases.

The paper integrates chromatin architecture with transcriptomic data to explore cell-type-specific gene regulatory networks in brain disorders, identifying distinct cellular contributions to Alzheimer's and psychiatric diseases.

The paper identifies primate-specific astrocyte responses to stroke, showing NogoA limits macrophage infiltration and suggests therapeutic targeting.

The paper models the progression of human neural stem cells in vitro, showing they transition through organizer states before committing to cortical excitatory or inhibitory neuronal fates.

The paper uses whole-genome and RNA sequencing from the human prefrontal cortex to identify genetic variants and transcriptomic changes associated with neurodevelopment and neuropsychiatric disorders.

This study identifies NEUROD2 mutations linked to ASD and intellectual disability, showing their role in cortical development and function through mouse models.