ArticleJournal of proteome research2020
Deciphering the Proteome Dynamics during Development of Neurons Derived from Induced Pluripotent Stem Cells.
Article in Journal of proteome research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 23 citations in OpenAlex.
- Tuning Secretomes for Regenerative Medicine.Biology · 2026Review
- Development of Cellular Energy Metabolism During Differentiation of Human iPSCs into Cortical Neurons.Molecular neurobiology · 2025Article
- Human sensory-like neuron surfaceome analysis.PloS one · 2025Article
- Multiomics Evaluation of Human iPSCs and iPSC-Derived Neurons.Journal of proteome research · 2024Article
- Expression Proteomics and Histone Analysis Reveal Extensive Chromatin Network Changes and a Role for Histone Tail Trimming during Cellular Differentiation.Biomolecules · 2024Article
- Macromolecular crowding in human tenocyte and skin fibroblast cultures: A comparative analysis.Materials today. Bio · 2024Article
- Proteomics applications in next generation induced pluripotent stem cell models.Expert review of proteomics · 2024Review
- Identification of MicroRNA Profiles in Fetal Spina Bifida: The Role in Pathomechanism and Diagnostic Significance.International journal of molecular sciences · 2024Article
- Article
- Proteomic Identification and Label-Free Quantification of Proteins Implicated in Neurite and Spine Formation.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Neurotoxic properties of the Zika virus envelope protein.Experimental neurology · 2023Article
- Article
- Growth rates of human induced pluripotent stem cells and neural stem cells from attention-deficit hyperactivity disorder patients: a preliminary study.Journal of neural transmission (Vienna, Austria : 1996) · 2023Article
- Inflammation: A New Look at an Old Problem.International journal of molecular sciences · 2022Review
- The promise of organoids for unraveling the proteomic landscape of the developing human brain.Molecular psychiatry · 2022Review
- Spinal Muscular Atrophy Patient iPSC-Derived Motor Neurons Display Altered Proteomes at Early Stages of Differentiation.ACS omega · 2021Article
- Characteristics of neural growth and cryopreservation of the dorsal root ganglion using three-dimensional collagen hydrogel cultureNeural regeneration research · 2021Article
- Neuroproteomics of the Synapse: Subcellular Quantification of Protein Networks and Signaling Dynamics.Molecular & cellular proteomics : MCP · 2021Review
- Proteomic profiling reveals mitochondrial metabolic alterations in dexamethasone-induced neuronal differentiation.Science progressArticle
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Neuronal development is a complex multistep process that shapes neurons by progressing though several typical stages, including axon outgrowth, dendrite formation, and synaptogenesis. Knowledge of the mechanisms of neuronal development is mostly derived from the study of animal models. Advances in stem cell technology now enable us to generate neurons from human induced pluripotent stem cells (iPSCs). Here we provide a mass spectrometry-based quantitative proteomic signature of human iPSC-derived neurons, i.e., iPSC-derived induced glutamatergic neurons and iPSC-derived motor neurons, throughout neuronal differentiation. Tandem mass tag 10-plex labeling was carried out to perform proteomic profiling of cells at different time points. Our analysis reveals significant expression changes (FDR < 0.001) of several key proteins during the differentiation process, e.g., proteins involved in the Wnt and Notch signaling pathways. Overall, our data provide a rich resource of information on protein expression during human iPSC neuron differentiation.
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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.