ArticleCurrent opinion in systems biology2019
Cell-machine interfaces for characterizing gene regulatory network dynamics.
Article in Current opinion in systems biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
22 citing papers in PubMed.
- Dynamic heterogeneity in an E. coli stress response regulon mediates gene activation and antimicrobial peptide tolerance.Cell reports · 2026Article
- Overriding Bioprocess Perturbations With a Cell-Machine Interface for Reliable Microbial Stress-Response Control.Microbial biotechnology · 2026Article
- Article
- Image-guided optogenetic spatiotemporal tissue patterning using μPatternScope.Nature communications · 2024Article
- The evolutionary theory of cancer: challenges and potential solutions.Nature reviews. Cancer · 2024Review
- Red blood cell flickering activity locally controlled by holographic optical tweezers.iScience · 2024Article
- Light-inducible protein degradation ineLife · 2024Article
- Fitness cost associated with cell phenotypic switching drives population diversification dynamics and controllability.Nature communications · 2023Article
- Enhancing bioreactor arrays for automated measurements and reactive control with ReacSight.Nature communications · 2022Article
- Dynamic gene expression and growth underlie cell-to-cell heterogeneity inProceedings of the National Academy of Sciences of the United States of America · 2022Article
- Platforms for Optogenetic Stimulation and Feedback Control.Frontiers in bioengineering and biotechnology · 2022Review
- Exploiting Information and Control Theory for Directing Gene Expression in Cell Populations.Frontiers in microbiology · 2022Review
- Cybergenetic control of microbial community composition.Frontiers in bioengineering and biotechnology · 2022Review
- Cells and computers, better together.Nature reviews. Microbiology · 2021Article
- Design and Characterization of Rapid Optogenetic Circuits for Dynamic Control in Yeast Metabolic Engineering.ACS synthetic biology · 2020Article
- Autonomous and Assisted Control for Synthetic Microbiology.International journal of molecular sciences · 2020Review
- Bioluminescence-Driven Optogenetics.Life (Basel, Switzerland) · 2020Review
- Functional roles of microbial cell-to-cell heterogeneity and emerging technologies for analysis and control.Current opinion in microbiology · 2020Review
- DeLTA: Automated cell segmentation, tracking, and lineage reconstruction using deep learning.PLoS computational biology · 2020Article
- A yeast optogenetic toolkit (yOTK) for gene expression control in Saccharomyces cerevisiae.Biotechnology and bioengineering · 2020Article
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
Abstract
Gene regulatory networks and the dynamic responses they produce offer a wealth of information about how biological systems process information about their environment. Recently, researchers interested in dissecting these networks have been outsourcing various parts of their experimental workflow to computers. Here we review how, using microfluidic or optogenetic tools coupled with fluorescence imaging, it is now possible to interface cells and computers. These platforms enable scientists to perform informative dynamic stimulations of genetic pathways and monitor their reaction. It is also possible to close the loop and regulate genes in real time, providing an unprecedented view of how signals propagate through the network. Finally, we outline new tools that can be used within the framework of cell-machine interfaces.
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.