ArticleStem cell reports2013
Identification of transcription factors for lineage-specific ESC differentiation.
Article in Stem cell reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
49 citing papers in PubMed, 78 citations in OpenAlex.
- Cell fate acquisition and reprogramming by the proneural transcription factor ASCL1.Open biology · 2025Review
- SCIG: Machine learning uncovers cell identity genes in single cells by genetic sequence codes.Nucleic acids research · 2025Article
- Unravelling the conundrum of nucleolar NR2F1 localization using antibody-based approaches in vitro and in vivo.Communications biology · 2025Article
- Review
- The Neural Progenitor Cell-Associated Transcription Factor FoxG1 Regulates Cardiac Epicardial Cell Proliferation.Stem cells international · 2024Article
- Advances in Genetic Reprogramming: Prospects from Developmental Biology to Regenerative Medicine.Current medicinal chemistry · 2024Review
- Wide field-of-view fluorescence imaging for organ-level lineage tracing of rare intestinal stem cell populations.Journal of biomedical optics · 2023Article
- Comparative transcriptomic analysis of Illumina and MGI next-generation sequencing platforms using RUNX3- and ZBTB46-instructed embryonic stem cells.Frontiers in genetics · 2023Article
- Indirect Mechanisms of Transcription Factor-Mediated Gene Regulation during Cell Fate Changes.Advanced genetics (Hoboken, N.J.) · 2022Article
- [Regenerative medicine for the corneal epithelium : Cell therapy from bench to bedside].Die Ophthalmologie · 2022Review
- Ranking reprogramming factors for cell differentiation.Nature methods · 2022Article
- Principles for the design of multicellular engineered living systems.APL bioengineering · 2022Article
- Distinct structural bases for sequence-specific DNA binding by mammalian BEN domain proteins.Genes & development · 2022Article
- Efficient generation of dopaminergic induced neuronal cells with midbrain characteristics.Stem cell reports · 2021Article
- Investigation of the hepatic development in the coculture of hiPSCs-derived LSECs and HLCs in a fluidic microenvironment.APL bioengineering · 2021Article
- A comprehensive library of human transcription factors for cell fate engineering.Nature biotechnology · 2021Article
- Extracellular matrix mechanics regulate transfection and SOX9-directed differentiation of mesenchymal stem cells.Acta biomaterialia · 2020Article
- Effect of Ionizing Radiation on Transcriptome during Neural Differentiation of Human Embryonic Stem Cells.Radiation research · 2020Article
- The Role of FoxG1 in the Inner Ear.Frontiers in cell and developmental biology · 2020Review
- Transcription Factor-Based Fate Specification and Forward Programming for Neural Regeneration.Frontiers in cellular neuroscience · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
Abstract
A network of transcription factors (TFs) determines cell identity, but identity can be altered by overexpressing a combination of TFs. However, choosing and verifying combinations of TFs for specific cell differentiation have been daunting due to the large number of possible combinations of ∼2,000 TFs. Here, we report the identification of individual TFs for lineage-specific cell differentiation based on the correlation matrix of global gene expression profiles. The overexpression of identified TFs-Myod1, Mef2c, Esx1, Foxa1, Hnf4a, Gata2, Gata3, Myc, Elf5, Irf2, Elf1, Sfpi1, Ets1, Smad7, Nr2f1, Sox11, Dmrt1, Sox9, Foxg1, Sox2, or Ascl1-can direct efficient, specific, and rapid differentiation into myocytes, hepatocytes, blood cells, and neurons. Furthermore, transfection of synthetic mRNAs of TFs generates their appropriate target cells. These results demonstrate both the utility of this approach to identify potent TFs for cell differentiation, and the unanticipated capacity of single TFs directly guides differentiation to specific lineage fates.
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What OpenQuestion holds
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.