ArticleScience advances2020
Diversification of reprogramming trajectories revealed by parallel single-cell transcriptome and chromatin accessibility sequencing.
Article in Science advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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Who cites it
34 citing papers in PubMed.
- Proteome dynamics during establishment of California grunion (Leuresthes tenuis) cell lines.BMC biology · 2026Article
- Redefining cellular reprogramming with advanced genomic technologies.Nature reviews. Genetics · 2026Review
- Article
- Article
- Glucagon-like Peptide-1 Receptor Agonists: A New Frontier in Treating Alcohol Use Disorder.Brain sciences · 2025Review
- A chromatin-focused CRISPR screen identifies USP22 as a barrier to somatic cell reprogramming.Communications biology · 2025Article
- Generation of Bona Fide Human Induced Trophoblast Stem Cells by Direct Reprogramming of Term Umbilical Cord Cells.International journal of molecular sciences · 2024Article
- Induced pluripotent stem cells (iPSCs): molecular mechanisms of induction and applications.Signal transduction and targeted therapy · 2024Review
- Retrospective identification of cell-intrinsic factors that mark pluripotency potential in rare somatic cells.Cell systems · 2024Article
- Deciphering the decisive factors driving fate bifurcations in somatic cell reprogramming.Molecular therapy. Nucleic acids · 2023Article
- Transcription factor stoichiometry, motif affinity and syntax regulate single-cell chromatin dynamics during fibroblast reprogramming to pluripotency.bioRxiv : the preprint server for biology · 2023Article
- PC3T: a signature-driven predictor of chemical compounds for cellular transition.Communications biology · 2023Article
- Single-nucleus multiomic mapping of mMolecular cell · 2023Article
- Article
- Cellular population dynamics shape the route to human pluripotency.Nature communications · 2023Article
- Ribosomal proteins regulate 2-cell-stage transcriptome in mouse embryonic stem cells.Stem cell reports · 2023Article
- Retrospective identification of intrinsic factors that mark pluripotency potential in rare somatic cells.bioRxiv : the preprint server for biology · 2023Article
- Gene regulatory network reconfiguration in direct lineage reprogramming.Stem cell reports · 2023Article
- Metabolic control of induced pluripotency.Frontiers in cell and developmental biology · 2023Review
- Latent disease similarities and therapeutic repurposing possibilities uncovered by multi-modal generative topic modeling of human diseases.Bioinformatics advances · 2023Article
Corrections and comments
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Authors and funding
15 authors.
Funding
Abstract
Cellular reprogramming suffers from low efficiency especially for the human cells. To deconstruct the heterogeneity and unravel the mechanisms for successful reprogramming, we adopted single-cell RNA sequencing (scRNA-Seq) and single-cell assay for transposase-accessible chromatin (scATAC-Seq) to profile reprogramming cells across various time points. Our analysis revealed that reprogramming cells proceed in an asynchronous trajectory and diversify into heterogeneous subpopulations. We identified fluorescent probes and surface markers to enrich for the early reprogrammed human cells. Furthermore, combinatory usage of the surface markers enabled the fine segregation of the early-intermediate cells with diverse reprogramming propensities. scATAC-Seq analysis further uncovered the genomic partitions and transcription factors responsible for the regulatory phasing of reprogramming process. Binary choice between a FOSL1 and a TEAD4-centric regulatory network determines the outcome of a successful reprogramming. Together, our study illuminates the multitude of diverse routes transversed by individual reprogramming cells and presents an integrative roadmap for identifying the mechanistic part list of the reprogramming machinery.
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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.