ArticleBMC genomics2018
Time-course transcriptome analysis of human cellular reprogramming from multiple cell types reveals the drastic change occurs between the mid phase and the late phase.
Article in BMC genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Constructing Cell-Specific Causal Networks of Individual Cells for Depicting Dynamical Biological Processes.Research (Washington, D.C.) · 2025Article
- Unlocking cellular plasticity: enhancing human iPSC reprogramming through bromodomain inhibition and extracellular matrix gene expression regulation.Stem cells (Dayton, Ohio) · 2024Article
- The hope, hype and obstacles surrounding cell therapy.Journal of cellular and molecular medicine · 2024Review
- Initiation phase cellular reprogramming ameliorates DNA damage in the ERCC1 mouse model of premature aging.Frontiers in aging · 2023Article
- Intermediate cells of in vitro cellular reprogramming and in vivo tissue regeneration require desmoplakin.Science advances · 2022Article
- Next-generation disease modeling with direct conversion: a new path to old neurons.FEBS letters · 2019Review
- Reprogramming of Cancer Cells into Induced Pluripotent Stem Cells Questioned.International journal of stem cells · 2019Article
- Reprogramming of Keratinocytes as Donor or Target Cells Holds Great Promise for Cell Therapy and Regenerative Medicine.Stem cell reviews and reports · 2019Review
- Clustering, Pathway Enrichment, and Protein-Protein Interaction Analysis of Gene Expression in Neurodevelopmental Disorders.Advances in pharmacological sciences · 2018Article
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Authors and funding
3 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundHuman induced pluripotent stem cells (hiPSCs) have been attempted for clinical application with diverse iPSCs sources derived from various cell types. This proposes that there would be a shared reprogramming route regardless of different starting cell types. However, the insights of reprogramming process are mostly restricted to only fibroblasts of both human and mouse. To understand molecular mechanisms of cellular reprogramming, the investigation of the conserved reprogramming routes from various cell types is needed. Particularly, the maturation, belonging to the mid phase of reprogramming, was reported as the main roadblock of reprogramming from human dermal fibroblasts to hiPSCs. Therefore, we investigated first whether the shared reprogramming routes exists across various human cell types and second whether the maturation is also a major blockage of reprogramming in various cell types.
resultsWe selected 3615 genes with dynamic expressions during reprogramming from five human starting cell types by using time-course microarray dataset. Then, we analyzed transcriptomic variances, which were clustered into 3 distinct transcriptomic phases (early, mid and late phase); and greatest difference lied in the late phase. Moreover, functional annotation of gene clusters classified by gene expression patterns showed the mesenchymal-epithelial transition from day 0 to 3, transient upregulation of epidermis related genes from day 7 to 15, and upregulation of pluripotent genes from day 20, which were partially similar to the reprogramming process of mouse embryonic fibroblasts. We lastly illustrated variations of transcription factor activity at each time point of the reprogramming process and a major differential transition of transcriptome in between day 15 to 20 regardless of cell types. Therefore, the results implied that the maturation would be a major roadblock across multiple cell types in the human reprogramming process.
conclusionsHuman cellular reprogramming process could be traced into three different phases across various cell types. As the late phase exhibited the greatest dissimilarity, the maturation step could be suggested as the common major roadblock during human cellular reprogramming. To understand further molecular mechanisms of the maturation would enhance reprogramming efficiency by overcoming the roadblock during hiPSCs generation.
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