ArticleStem cell reports2021
Decoding Neuronal Diversification by Multiplexed Single-cell RNA-Seq.
Article in Stem cell reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed.
- Computational blueprints for cell fate programming.Stem cell reports · 2026Review
- Combinatorial transcription factor interactions drive modular gene regulatory networks.bioRxiv : the preprint server for biology · 2026Article
- Dissecting the impact of transcription factor dose on cell reprogramming heterogeneity using scTF-seq.Nature genetics · 2025Article
- CRISPR screening in hematology research: from bulk to single-cell level.Journal of hematology & oncology · 2023Review
- Review
- Deep learning models will shape the future of stem cell research.Stem cell reports · 2023Review
- Probing cell identity hierarchies by fate titration and collision during direct reprogramming.Molecular systems biology · 2022Article
- Generative modeling of single-cell time series with PRESCIENT enables prediction of cell trajectories with interventions.Nature communications · 2021Article
- Single-Cell Toolkits Opening a New Era for Cell Engineering.Molecules and cells · 2021Review
- Single-Cell Genomics: Catalyst for Cell Fate Engineering.Frontiers in bioengineering and biotechnology · 2021Review
- Mapping regulators of cell fate determination: Approaches and challenges.APL bioengineering · 2020Review
- Next-generation disease modeling with direct conversion: a new path to old neurons.FEBS letters · 2019Review
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cellular reprogramming is driven by a defined set of transcription factors; however, the regulatory logic that underlies cell-type specification and diversification remains elusive. Single-cell RNA-seq provides unprecedented coverage to measure dynamic molecular changes at the single-cell resolution. Here, we multiplex and ectopically express 20 pro-neuronal transcription factors in human dermal fibroblasts and demonstrate a widespread diversification of neurons based on cell morphology and canonical neuronal marker expressions. Single-cell RNA-seq analysis reveals diverse and distinct neuronal subtypes, including reprogramming processes that strongly correlate with the developing brain. Gene mapping of 20 exogenous pro-neuronal transcription factors further unveiled key determinants responsible for neuronal lineage specification and a regulatory logic dictating neuronal diversification, including glutamatergic and cholinergic neurons. The multiplex scRNA-seq approach is a robust and scalable approach to elucidate lineage and cellular specification across various biological systems.
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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 OpenQuestion graph.