ArticleAPL bioengineering2018
Perspective: Engineering noise in biological systems towards predictive stochastic design.
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 9 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.
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Who cites it
9 citing papers in PubMed.
- Engineering plasmid copy number heterogeneity for dynamic microbial adaptation.Nature microbiology · 2024Article
- Phenotypic Patterning through Copy Number Adaptation to Environmental Gradients.ACS synthetic biology · 2024Article
- Using Constrained-Disorder Principle-Based Systems to Improve the Performance of Digital Twins in Biological Systems.Biomimetics (Basel, Switzerland) · 2023Review
- Principles for the design of multicellular engineered living systems.APL bioengineering · 2022Article
- Screening for gene expression fluctuations reveals latency-promoting agents of HIV.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Uncoupling gene expression noise along the central dogma using genome engineered human cell lines.Nucleic acids research · 2020Article
- 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
- Characterizing Glioblastoma Heterogeneity via Single-Cell Receptor Quantification.Frontiers in bioengineering and biotechnology · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Significant progress has been made towards engineering both single-cell and multi-cellular systems through a combination of synthetic and systems biology, nanobiotechnology, pharmaceutical science, and computational approaches. However, our ability to engineer systems that begin to approach the complexity of natural pathways is severely limited by important challenges, e.g. due to noise, or the fluctuations in gene expression and molecular species at multiple scales (e.g. both intra- and inter-cellular fluctuations). This barrier to engineering requires that biological noise be recognized as a design element with fundamentals that can be actively controlled. Here we highlight studies of an emerging discipline that collectively strives to engineer noise towards predictive stochastic design using interdisciplinary approaches at multiple-scales in diverse living systems.
Identifiers
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.