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High-throughput mapping of single-neuron projection and molecular features by retrograde barcoded labelling [scRNA-seq]

ABSTRACT: Deciphering patterns of connectivity between neurons in the mammalian brain is a critical step toward understanding brain function. Conventional imaging based neuroanatomical tracing methods identify area-to-area or sparse neuron-to-neuron connectivity patterns, but with extremely limited throughput. Recently developed barcode-based connectomics methods can efficiently map large numbers of single-neuron projections, but linking these data to single-cell transcriptomics remains a challenge. Here, we established a retro-AAV barcode-based multiplexed tracing method called MERGE-seq (Multiplexed projection neuRons retroGrade barcodE sequencing), which is capable of simultaneously characterizing the projectome and transcriptome at the single neuron level. We uncovered dedicated and collateral projection patterns of ventromedial prefrontal cortex (vmPFC) neurons to five downstream targets (AI, DMS, BLA, MD and LH). We found that projection-defined vmPFC neurons are molecularly heterogeneous, which are composed of different neuronal subtypes. We further identified transcriptional signatures of various dedicated and bifurcated vmPFC neurons, and verified Pou3f1 as the marker gene of neurons sending collateral axons to DMS and LH. Finally, we fitted our single-neuron connectome/transcriptome data into a machine learning-based model and revealed groups of genes that were predictive of certain projection pattern. In summary, we have developed a new multiplexed technique whose paired connectome and gene expression data can help reveal organizational principles that form neural circuits and process information.

ORGANISM(S): Mus musculus

PROVIDER: GSE210172 | GEO | 2024/02/25

REPOSITORIES: GEO

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High-throughput mapping of single-neuron projection and molecular features by retrograde barcoded labelling [bulk RNA-seq]

Project description:Deciphering patterns of connectivity between neurons in the mammalian brain is a critical step toward understanding brain function. Conventional imaging based neuroanatomical tracing methods identify area-to-area or sparse neuron-to-neuron connectivity patterns, but with extremely limited throughput. Recently developed barcode-based connectomics methods can efficiently map large numbers of single-neuron projections, but linking these data to single-cell transcriptomics remains a challenge. Here, we established a retro-AAV barcode-based multiplexed tracing method called MERGE-seq (Multiplexed projection neuRons retroGrade barcodE sequencing), which is capable of simultaneously characterizing the projectome and transcriptome at the single neuron level. We uncovered dedicated and collateral projection patterns of ventromedial prefrontal cortex (vmPFC) neurons to five downstream targets (AI, DMS, BLA, MD and LH). We found that projection-defined vmPFC neurons are molecularly heterogeneous, which are composed of different neuronal subtypes. We further identified transcriptional signatures of various dedicated and bifurcated vmPFC neurons, and verified Pou3f1 as the marker gene of neurons sending collateral axons to DMS and LH. Finally, we fitted our single-neuron connectome/transcriptome data into a machine learning-based model and revealed groups of genes that were predictive of certain projection pattern. In summary, we have developed a new multiplexed technique whose paired connectome and gene expression data can help reveal organizational principles that form neural circuits and process information.

2024-02-25 | GSE210173 | GEO

Virally Encoded Connectivity Transgenic Overlay RNA sequencing (VECTORseq) defines projection neurons involved in sensorimotor integration

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2021-12-02 | GSE189907 | GEO

Prefrontal D2- dopamine receptor deactivates top-down inhibitory control by regulating striatal cholinergic interneurons

Project description:Inhibitory control is a core cognitive function preventing the expression of maladaptive behaviors. This function is overridden in mental illnesses including bipolar disorder, autism spectrum disorders and schizophrenia, causing maladaptive psychomotor agitation. We developed intersectional CRISPR/Cas9 targeting approaches in adult mice to identify receptor/circuit selective mechanisms responsible for inactivation of inhibitory control in two models of amphetamine-induced psychomotor agitation. Inactivation of dopamine D2-receptors in the medial-prefrontal cortex (mPFC) abolished amphetamine-induced: psychomotor agitation, motor sensitization, and cAMP-associated transcriptome changes in the striatum. Further characterization using intersectional projection preparations indicate that these deficits implicate D2-receptors expressed on projection neurons innervating cholinergic interneurons of the dorsomedial striatum (DMS). Trans-synaptic targeting of acetylcholine production in DMS neurons receiving these projections restored psychomotor agitation in mice lacking mPFC D2- receptor expression. These findings identify a circuit by which activation of cortical D2-receptor circumvent an acetylcholine-mediated inhibition of DMS functions by the mPFC to promote psychomotor activation.

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Developmental cell death of cortical projection neurons is controlled by a Bcl11a/Bcl6-dependent pathway II

Project description:Developmental neuron death plays a pivotal role in refining organization and wiring during neocortex formation. Aberrant regulation of this process results in neurodevelopmental disorders including impaired learning and memory. Underlying molecular pathways are incompletely determined. Loss of Bcl11a in cortical projection neurons induces pronounced cell death in upper-layer cortical projection neurons during postnatal corticogenesis. We used this genetic model to explore genetic mechanisms by which developmental neuron death is controlled. Unexpectedly, we found Bcl6, previously shown to be involved in transition of cortical neurons from progenitor to postmitotic differentiation state to provide a major check point regulating neuron survival during late cortical development. We show that Bcl11a is a direct transcriptional regulator of Bcl6. Deletion of Bcl6 exerts death of cortical projection neurons. In turn, reintroduction of Bcl6 into Bcl11a mutants prevents induction of cell death in these neurons. Together, our data identify a novel Bcl11a/Bcl6-dependent molecular pathway in regulation of developmental cell death during corticogenesis.

2022-06-24 | GSE185288 | GEO

Developmental cell death of cortical projection neurons is controlled by a Bcl11a/Bcl6-dependent pathway I

2022-06-24 | GSE185287 | GEO

Transcription profiling of mouse FACS-purified cortical projection neurons using Affymetrix 430 2.0 microarrays

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2009-10-09 | E-GEOD-17783 | biostudies-arrayexpress

Effect of phox2a knockout on the molecular profiles of hindbrain vestibular neurons in the larval zebrafish (bulk RNA-Seq)

Project description:Sensorimotor reflex circuits engage distinct neuronal subtypes, defined by precise connectivity, to transform sensation into compensatory behavior. Whether and how motor partner populations shape the subtype fate and connectivity of their pre-motor counterparts remains controversial. Here, we discovered that motor partners are dispensable for proper connectivity across an entire vestibular reflex circuit that stabilizes gaze. We first measured activity following vestibular sensation in pre-motor projection neurons after constitutive loss of their extraocular motor neuron partners.We observed normal responses and topography consistent with unchanged functional connectivity between sensory neurons and projection neurons. Next, we show that projection neurons remain anatomically and molecularly poised to connect appropriately with their motor partners. Lastly, we show that the transcriptional signatures of projection neuron subtypes develop independently of motor partners. Our findings comprehensively overturn a long-standing model: that connectivity in the circuit for gaze stabilization is retrogradely determined by motor partner-derived signals. By defining the contribution of motor neurons to canonical sensorimotor circuit assembly, our work speaks to comparable processes in spinal circuits and advances our understanding of general principles of neural development.

2024-01-27 | GSE254345 | GEO

Identification of molecular controls of Corticothalamic projection neurons differentiatiion

Project description:Molecular mechanisms controlling specification and differentiation of distinct neuron subtypes in the cerebral cortex are not well understood. Corticothalamic projection neurons (CThPN) are a diverse set of neurons, critical for function of the neocortex, but little is known about the molecular mechansims controlling their development. We used microarrays to detail CThPN gene expression at 3 developmental time points. We then compared CThPN gene expression, with the gene expression of other neuron subtypes in the cerebral cortex at the same stages (previously described in Arlotta et a., 2005) CThPN were retrogradely label with fluorescent microespheres injected into the thalamus, and were FACS purified at 3 developmental stages for RNA extraction and hybridization on Affymetrix microarrays.

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Analysis of changes in the BLA and vmPFC brain region of control mice and global cerebral ischemia mice after acute stress

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2024-01-31 | GSE248200 | GEO

Modular organization of mouse prefrontal cortex subnetwork revealed by spatial single-cell multi-omic analysis of SPIEDER-Seq

Project description:Deciphering the connectome, transcriptome and spatial-omics integrated multi-modal brain atlas and the underlying organization principles remains a great challenge. We developed a cost-effective Single-cell Projectome-transcriptome In situ Deciphering Sequencing (SPIDER-Seq) technique by combining viral barcoding tracing with single-cell sequencing and spatial-omics. This empowers us to delineate a comprehensive integrated single-cell spatial molecular, cellular and projectomic atlas of mouse prefrontal cortex (PFC). The projectomic and transcriptomic cell clusters display distinct modular organization principles, but are coordinately configured in the PFC. The projection neurons gradiently occupied different territories in the PFC aligning with their wiring patterns. Importantly, they show higher co-projection probability to the downstream nuclei with reciprocal circuit connections. Moreover, we integrated projectomic atlas with their distinct spectrum of neurotransmitter/neuropeptide and the receptors-related gene profiles and depicted PFC neural signal transmission network. By which, we uncovered potential mechanisms underlying the complexity and specificity of neural transmission. Finally, we predicted neuron projections with high accuracy by combining gene profiles and spatial information via machine learning. This study facilitates our understanding of brain multi-modal network and neural computation.

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