ArticleProceedings of the National Academy of Sciences of the United States of America2024
TARGET-seq: Linking single-cell transcriptomics of human dopaminergic neurons with their target specificity.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Brain organoids as models of extracellular vesicle-mediated human neural communication.Neural regeneration research · 2026Article
- Beyond phenotypic markers: rethinking dopaminergic identity in iPSC-derived neurons.Cell communication and signaling : CCS · 2026Review
- Construct optimization for AAV-mediated human α-syn overexpression, and validation across research settings: Development of a shared tool for the research community.Journal of Parkinson's disease · 2026Article
- Optimized Midbrain Organoid Transplantation Restores Dopaminergic Nigrostriatal Pathway and Motor Function in Parkinson's Disease Mouse Model.Neuroscience bulletin · 2026Article
- Modulation of WNT and FGF18 enhances yield and subtype identity of hPSC-derived midbrain dopamine neurons.The Journal of clinical investigation · 2026Article
- Modern Mining: The Role of Single-cell RNA Sequencing in Advancing Neuroscience Research.BioEssays : news and reviews in molecular, cellular and developmental biology · 2026Review
- Single-cell sequencing: accurate disease detection.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Review
- In vitro derivation of midbrain dopaminergic neurons from porcine embryonic stem cells in multi-dimensional conditions.Stem cell research & therapy · 2025Article
- Three-dimensional co-culturing reveals human stem cell-derived somatostatin interneurons with subclass expression.Stem cell reports · 2025Article
- Advances, challenges, and opportunities of human midbrain organoids for modelling of the dopaminergic system.The EMBO journal · 2025Review
- Three-dimensional cell-cell interactions promote direct reprogramming of patient fibroblasts into functional and transplantable neurons.Science advances · 2025Article
- Proteomic insights into the biology of dopaminergic neurons.Frontiers in molecular neuroscience · 2025Review
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
Dopaminergic (DA) neurons exhibit significant diversity characterized by differences in morphology, anatomical location, axonal projection pattern, and selective vulnerability to disease. More recently, scRNAseq has been used to map DA neuron diversity at the level of gene expression. These studies have revealed a higher than expected molecular diversity in both mouse and human DA neurons. However, whether different molecular expression profiles correlate with specific functions of different DA neurons or with their classical division into mesolimbic (A10) and nigrostriatal (A9) neurons, remains to be determined. To address this, we have developed an approach termed TARGET-seq (Tagging projections by AAV-mediated RetroGrade Enrichment of Transcriptomes) that links the transcriptional profile of the DA neurons with their innervation of specific target structures in the forebrain. Leveraging this technology, we identify molecularly distinct subclusters of human DA neurons with a clear link between transcriptome and axonal target-specificity, offering the possibility to infer neuroanatomical-based classification to molecular identity and target-specific connectivity. We subsequently used this dataset to identify candidate transcription factors along DA developmental trajectories that may control subtype identity, thus providing broad avenues that can be further explored in the design of next-generation A9 and A10 enriched DA-neurons for drug screening or A9 enriched DA cells for clinical stem cell-based therapies.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.