Defining an essential transcription factor program for naïve pluripotency
Open accessAbstract
Predicting stem cell renewal or differentiation: Predicting complex mammalian cell behavior is extremely challenging. Dunn et al. developed a computational model that predicts when embryonic stem cells will self-renew or differentiate. The model revealed an essential program governing pluripotency and identifies a minimal set of components and interactions that accurately predict responses to genetic perturbation. Science , this issue p. 1156
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TAP-seq is useful for functional genomics applications where phenotypes appear as expression changes in small gene sets.
“TAP-seq is applicable to a broad range of functional genomics applications, including studies of gene regulatory networks7,19,31, signaling pathways6,32, and combinatorial regulatory logic7,32,33, where phenotypes of interest are represented by expression changes in small sets of genes.”
From Targeted Perturb-seq enables genome-scale genetic screens in single cells (2020) · cites this paper as [31]
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References 32 · Cited by 370
Research works printed but not linked: 1
- [15]Yordanov B Wintersteiger CM Hamadi Y Kugler H NASA Formal Methods Symposium 2013 78 92
- Authors
- Dunn, S.-J., Martello, G., Yordanov, B., Emmott, S., & Smith, A. G.
- Affiliations
- Microsoft Research (United Kingdom) (GB)
- Wellcome/MRC Cambridge Stem Cell Institute (GB)
- Corresponding author
- Martello, G.
- Smith, A. G.
- Venue
- Science
- Published
- 2014-06-06
- Volume
- 344
- Issue
- 6188
- Pages
- 1156-1160
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- PMC
- PMC4257066
- OpenAlex
- W2031285837
- Cited by
- 370
- References
- 32
- Citations by year
- 2026: 10 · 2025: 16 · 2024: 20 · 2023: 23 · 2022: 28 · 2021: 27 · 2020: 33 · 2019: 39 · 2018: 42 · 2017: 47 · 2016: 40 · 2015: 31 · 2014: 14
- FWCI
- 18.05
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Padua Research Archive (University of Padova) (submittedVersion)
- Funders
- Wellcome Trust (091484)
- Medical Research Council (MC_PC_12009)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Pluripotent Stem Cells Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Developmental Biology and Gene Regulation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
- Keywords
- naive pluripotency, embryonic stem cells, transcriptional regulatory networks, self-renewal, cell differentiation, molecular computing
- MeSH terms
- Animals, Gene Expression Regulation, Transcription Factors, Cell Culture Techniques, Computational Biology, Pluripotent Stem Cells, Mice, Gene Regulatory Networks, Embryonic Stem Cells
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