ArticleFrontiers in cellular neuroscience2021
Article in Frontiers in cellular neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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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.
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Who cites it
11 citing papers in PubMed, 15 citations in OpenAlex.
- Microfluidics for cell therapy and manufacturing in oncology and regenerative medicine.Lab on a chip · 2026Review
- Pulsed electromagnetic stimulation promotes neuronal maturation by up-regulating cholesterol biosynthesis.Stem cell research & therapy · 2025Article
- A Snapshot of Early Transcriptional Changes Accompanying the Pro-Neural Phenotype Switch by NGN2, ASCL1, SOX2, and MSI1 in Human Fibroblasts: An RNA-Seq Study.International journal of molecular sciences · 2024Article
- On-Chip Neural Induction Boosts Neural Stem Cell Commitment: Toward a Pipeline for iPSC-Based Therapies.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Cellular population dynamics shape the route to human pluripotency.Nature communications · 2023Article
- Microfluidic Manipulation for Biomedical Applications in the Central and Peripheral Nervous Systems.Pharmaceutics · 2023Review
- Inducible motor neuron differentiation of human induced pluripotent stem cells in vivo.Cell proliferation · 2022Article
- Microfluidics for Neuronal Cell and Circuit Engineering.Chemical reviews · 2022Review
- Making neurons, made easy: The use of Neurogenin-2 in neuronal differentiation.Stem cell reports · 2022Review
- Timely delivery of cardiac mmRNAs in microfluidics enhances cardiogenic programming of human pluripotent stem cells.Frontiers in bioengineering and biotechnology · 2022Article
- Microfluidic platforms for single neuron analysis.Materials today. Bio · 2022Review
Corrections and comments
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Authors and funding
9 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recent advancements in cell engineering have succeeded in manipulating cell identity with the targeted overexpression of specific cell fate determining transcription factors in a process named transcriptional programming. Neurogenin2 (NGN2) is sufficient to instruct pluripotent stem cells (PSCs) to acquire a neuronal identity when delivered with an integrating system, which arises some safety concerns for clinical applications. A non-integrating system based on modified messenger RNA (mmRNA) delivery method, represents a valuable alternative to lentiviral-based approaches. The ability of NGN2 mmRNA to instruct PSC fate change has not been thoroughly investigated yet. Here we aimed at understanding whether the use of an NGN2 mmRNA-based approach combined with a miniaturized system, which allows a higher transfection efficiency in a cost-effective system, is able to drive human induced PSCs (hiPSCs) toward the neuronal lineage. We show that NGN2 mRNA alone is able to induce cell fate conversion. Surprisingly, the outcome cell population accounts for multiple phenotypes along the neural development trajectory. We found that this mixed population is mainly constituted by neural stem cells (45% ± 18 PAX6 positive cells) and neurons (38% ± 8 βIIITUBULIN positive cells) only when NGN2 is delivered as mmRNA. On the other hand, when the delivery system is lentiviral-based, both providing a constant expression of NGN2 or only a transient pulse, the outcome differentiated population is formed by a clear majority of neurons (88% ± 1 βIIITUBULIN positive cells). Altogether, our data confirm the ability of NGN2 to induce neuralization in hiPSCs and opens a new point of view in respect to the delivery system method when it comes to transcriptional programming applications.
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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.