ArticleLab on a chip2019
Femtoliter droplet confinement of Streptococcus pneumoniae: bacterial genetic transformation by cell-cell interaction in droplets.
Article in Lab on a chip, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed, 12 citations in OpenAlex.
- Selective access to individual cells after assembling for advanced cell-cell interaction studies.Journal of nanobiotechnology · 2026Article
- Microdroplet Systems for Gene Transfer: From Fundamentals to Future Perspectives.Micromachines · 2025Review
- [Application of Droplet-Based Microfluidics in Microbial Research].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2023Review
- Multiplex gene transfer by genetic transformation between isolated S. pneumoniae cells confined in microfluidic droplets.Integrative biology : quantitative biosciences from nano to macro · 2019Article
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 at 1 institution in 1 country.
Funding
Abstract
Streptococcus pneumoniae (pneumococcus), a deadly bacterial human pathogen, uses genetic transformation to gain antibiotic resistance. Genetic transformation begins when a pneumococcal strain in a transient specialized physiological state called competence, attacks and lyses another strain, releasing DNA, taking up fragments of the liberated DNA, and integrating divergent genes into its genome. While many steps of the process are known and generally understood, the precise mechanism of this natural genetic transformation is not fully understood and the current standard strategies to study it have limitations in specifically controlling and observing the process in detail. To overcome these limitations, we have developed a droplet microfluidic system for isolating individual episodes of bacterial transformation between two confined cells of pneumococcus. By encapsulating the cells in a 10 μm diameter aqueous droplet, we provide an improved experimental model of genetic transformation, as both participating cells can be identified, and the released DNA is spatially restricted near the attacking strain. Specifically, the bacterial cells, one rifampicin (R) resistant, the other novobiocin (N) and spectinomycin (S) resistant were encapsulated in droplets carried by the fluorinated oil FC-40 with 5% surfactant and allowed to carry out competence-specific attack and DNA uptake (and consequently gain antibiotic resistances) within the droplets. The droplets were then broken, and recombinants were recovered by selective plating with antibiotics. The new droplet system encapsulated 2 or more cells in a droplet with a probability up to 71%, supporting gene transfer rates comparable to standard mixtures of unconfined cells. Thus, confinement in droplets allows characterization of natural genetic transformation during a strictly defined interaction between two confined cells.
Indexed as
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.