ReviewBiotechnology journal2011
Programming microbial population dynamics by engineered cell-cell communication.
Review in Biotechnology journal, 2011. 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
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed.
- AI-directed gene fusing prolongs the evolutionary half-life of synthetic gene circuits.Science advances · 2025Article
- Key amino acid residues govern the substrate selectivity of the transporter Xltr1p fromEngineering microbiology · 2024Article
- Mathematical modeling for operative improvement of the decoloration of Acid Red 27 by a novel microbial consortium ofHeliyon · 2023Article
- Coupling Cell Communication and Optogenetics: Implementation of a Light-Inducible Intercellular System in Yeast.ACS synthetic biology · 2023Article
- Nano-guided cell networks as conveyors of molecular communication.Nature communications · 2015Article
- Sender-receiver systems and applying information theory for quantitative synthetic biology.Current opinion in biotechnology · 2015Review
- Artificial cell-cell communication as an emerging tool in synthetic biology applications.Journal of biological engineering · 2015Article
- Directed evolution: an evolving and enabling synthetic biology tool.Current opinion in chemical biology · 2012Review
- Enhancing E. coli tolerance towards oxidative stress via engineering its global regulator cAMP receptor protein (CRP).PloS one · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
A major aim of synthetic biology is to program novel cellular behavior using engineered gene circuits. Early endeavors focused on building simple circuits that fulfill simple functions, such as logic gates, bistable toggle switches, and oscillators. These gene circuits have primarily focused on single-cell behaviors since they operate intracellularly. Thus, they are often susceptible to cell-cell variations due to stochastic gene expression. Cell-cell communication offers an efficient strategy to coordinate cellular behavior at the population level. To this end, we review recent advances in engineering cell-cell communication to achieve reliable population dynamics, spanning from communication within single species to multispecies, from one-way sender-receiver communication to two-way communication in synthetic microbial ecosystems. These engineered systems serve as well-defined model systems to better understand design principles of their naturally occurring counterparts and to facilitate novel biotechnology applications.
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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.