ArticleAPL bioengineering2018
Fine-tuning of noise in gene expression with nucleosome remodeling.
Article in APL bioengineering, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 17 citations in OpenAlex.
- Heritable single-cell gene expression states shape functional variability in innate immune responses.bioRxiv : the preprint server for biology · 2026Article
- Unraveling IFN-I response dynamics and TNF crosstalk in the pathophysiology of systemic lupus erythematosus.Frontiers in immunology · 2024Article
- Variability of the innate immune response is globally constrained by transcriptional bursting.Frontiers in molecular biosciences · 2023Article
- Article
- Roles of ARID1A variations in colorectal cancer: a collaborative review.Molecular medicine (Cambridge, Mass.) · 2022Review
- Principles for the design of multicellular engineered living systems.APL bioengineering · 2022Article
- Synergistic Chromatin-Modifying Treatments Reactivate Latent HIV and Decrease Migration of Multiple Host-Cell Types.Viruses · 2021Article
- Mutation-Driven Signals of ARID1A and PI3K Pathways in Ovarian Carcinomas: Alteration Is An Opportunity.International journal of molecular sciences · 2019Review
- Drugs modulating stochastic gene expression affect the erythroid differentiation process.PloS one · 2019Article
- Cell Size-Based Decision-Making of a Viral Gene Circuit.Cell reports · 2018Article
- Small Molecule Targeting of Specific BAF (mSWI/SNF) Complexes for HIV Latency Reversal.Cell chemical biology · 2018Article
- Perspective: Engineering noise in biological systems towards predictive stochastic design.APL bioengineering · 2018Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Engineering stochastic fluctuations of gene expression (or "noise") is integral to precisely bias cellular-fate decisions and statistical phenotypes in both single-cell and multi-cellular systems. Epigenetic regulation has been shown to constitute a large source of noise, and thus, engineering stochasticity is deeply intertwined with epigenetics. Here, utilizing chromatin remodeling, we report that Caffeic acid phenethyl ester (CA) and Pyrimethamine (PYR), two inhibitors of BAF250a, a subunit of the Brahma-associated factor (BAF) nucleosome remodeling complex, enable differential and tunable control of noise in transcription and translation from the human immunodeficiency virus long terminal repeat promoter in a dose and time-dependent manner. CA conserves noise levels while increasing mean abundance, resulting in direct tuning of the transcriptional burst size, while PYR strictly increases transcriptional initiation frequency while conserving a constant transcriptional burst size. Time-dependent treatment with CA reveals non-continuous tuning with noise oscillating at a constant mean abundance at early time points and the burst size increasing for treatments after 5 h. Treatments combining CA and Protein Kinase C agonists result in an even larger increase of abundance while conserving noise levels with a highly non-linear increase in variance of up to 63× untreated controls. Finally, drug combinations provide non-antagonistic combinatorial tuning of gene expression noise and map a noise phase space for future applications with viral and synthetic gene vectors. Active remodeling of nucleosomes and BAF-mediated control of gene expression noise expand a toolbox for the future design and engineering of stochasticity in living systems.
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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.