Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

High-throughput mapping of single-neuron projection and molecular features by retrograde barcoded labelling

ABSTRACT: High-throughput mapping of single-neuron projection and molecular features by retrograde barcoded labelling

PROVIDER: PRJNA864622 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other
	SRR20727964_1.fastq.gz	Fastqsanger.gz
	SRR20727964_2.fastq.gz	Fastqsanger.gz
	SRR20727966_1.fastq.gz	Fastqsanger.gz
	SRR20727966_2.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 35

Similar Datasets

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

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

| PRJNA864628 | ENA

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

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

| PRJNA864627 | ENA

High-throughput mapping of single-neuron projection and molecular features by retrograde barcoded labelling [scRNA-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 | GSE210172 | GEO

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

2024-02-25 | GSE210173 | GEO

Retrograde labelling and RNA deep sequencing of olfactory bulb projection neurons [bulk RNA-seq]

Project description:Retrograde labelling and RNA deep sequencing of olfactory bulb projection neurons [bulk RNA-seq]

| PRJNA682580 | ENA

High-throughput mapping of single-neuron projection and molecular features by retrograde barcoded labelling

Project description:This SuperSeries is composed of the SubSeries listed below.

2024-02-25 | GSE210174 | GEO

Single cell sequencing and retrograde barcode tracing reveal human DA neuron identities based on projection patterns in stem cell-derived grafts

Project description:Groundbreaking research in the last decade has definitively established human pluripotent stem cells (hPSCs) as a powerful source for the unlimited generation of dopamine (DA) neurons used in cell-based therapy in Parkinson’s disease (PD). However, DA neurons constitute a heterogeneous group of cells with different molecular identities and, consequently, different functions and innervation targets. Moreover, the inaccessibility of the human brain has so far hindered our understanding of the highly complex human DA system and, therefore, the design of DA neuron subtype-specific differentiation protocols for more effective cell replacement therapies. Currently, DA neurons – located in human ventral midbrain – can only be reliably distinguished based on their projection patterns. Here, we used hPSCs to derive and then transplant DA neurons into a rat model of PD. After one year of transplantation, we performed single nucleus RNA sequencing (snRNAseq) of ~80,000 human nuclei to transcriptionally define cell type composition and obtained a comprehensive map of DA neuron molecular identities. Exploiting the fact that transplanted DA neurons innervated and integrated within the host circuitry, we then combined snRNAseq with axonal retrograde AAV barcoding to trace the projection patterns of molecularly distinct human DA neuron subtypes in the grafts. We thus defined human DA neuron transcriptional profiles based on their target-specific outgrowth in the host brain. The resulting datasets provide an unprecedented resource both for elucidating the molecular basis of human DA neuron diversity as well as for developing more targeted cell-based therapies, with major implications for outcomes of PD patients.

2024-11-03 | GSE233885 | GEO

High-throughput mapping of single-neuron projection and molecular features by retrograde barcoded labeling.

Project description:Deciphering patterns of connectivity between neurons in the brain is a critical step toward understanding brain function. Imaging-based neuroanatomical tracing identifies area-to-area or sparse neuron-to-neuron connectivity patterns, but with limited throughput. Barcode-based connectomics maps large numbers of single-neuron projections, but remains a challenge for jointly analyzing single-cell transcriptomics. Here, we established a rAAV2-retro barcode-based multiplexed tracing method that simultaneously characterizes 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 and found that projection-defined vmPFC neurons are molecularly heterogeneous. We identified transcriptional signatures of projection-specific vmPFC neurons, and verified Pou3f1 as a marker gene enriched in neurons projecting to the lateral hypothalamus, denoting a distinct subset with collateral projections to both dorsomedial striatum and lateral hypothalamus. 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.

| S-EPMC10914349 | biostudies-literature

Retrograde labelling and RNA deep sequencing of olfactory bulb projection neurons [bulk RNA-seq]

Project description:To characterize the molecular diversity of olfactory bulb projection neurons we used viral targeting and Fluorescence Activated Nuclei Sorting (FANS) to enrich for piriform cortex-projecting or AON-projecting neurons, and bulk RNA deep sequencing (bulk RNA deep seq) to comprehensively characterize their transcriptomes.

2020-12-05 | GSE162655 | GEO

Projection-TAGs enable multiplex projection tracing and multi-modal profiling of projection neurons

Project description:Single-cell multiomic techniques have sparked immense interest in developing a comprehensive multi-modal map of diverse neuronal cell types and their brain-wide projections. However, investigating the complex wiring diagram, spatial organization, transcriptional, and epigenetic landscapes of brain-wide projection neurons is hampered by the lack of efficient and easily adoptable tools. Here we introduce Projection-TAGs, a retrograde AAV platform that allows multiplex tagging of projection neurons using RNA barcodes. By using Projection-TAGs, we performed multiplex projection tracing of the mouse cortex and high-throughput single-cell profiling of the transcriptional and epigenetic landscapes of the cortical projection neurons. Projection-TAGs can be leveraged to obtain a snapshot of activity-dependent recruitment of distinct projection neurons and their molecular features in the context of a specific stimulus. Given its flexibility, usability, and compatibility, we envision that Projection-TAGs can be readily applied to build a comprehensive multi-modal map of brain neuronal cell types and their projections.

2025-04-01 | GSE277718 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data