Evidence map›Paper›PMID 26005763›Full record

ArticleBiomaterials2015

Dynamic control and quantification of bacterial population dynamics in droplets.

Shuqiang Huang, Jaydeep K Srimani, Anna J Lee, Ying Zhang, Allison J Lopatkin, Kam W Leong, Lingchong You

Abstract read
In one paragraph

Article in Biomaterials, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Trajectory analysis ofBiomicrofluidics · 2024
    Article
  6. Article
  7. Article
  8. Droplet Microfluidics for Microbial Biotechnology.Advances in biochemical engineering/biotechnology · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Microfluidics in systems biology-hype or truly useful?Current opinion in biotechnology · 2016
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Shuqiang HuangDepartment of Biomedical Engineering, Duke University, Durham, NC, USA.
Jaydeep K SrimaniDepartment of Biomedical Engineering, Duke University, Durham, NC, USA.
Anna J LeeDepartment of Biomedical Engineering, Duke University, Durham, NC, USA.
Ying ZhangDepartment of Biomedical Engineering, Duke University, Durham, NC, USA; Department of Biomedical Engineering, Columbia University, New York, USA.
Allison J LopatkinDepartment of Biomedical Engineering, Duke University, Durham, NC, USA.
Kam W LeongDepartment of Biomedical Engineering, Columbia University, New York, USA.
Lingchong YouDepartment of Biomedical Engineering, Duke University, Durham, NC, USA; Duke Center for Genomic and Computational Biology, Duke University, Durham, NC, USA. Electronic address: you@duke.edu.

Funding

Post-antibiotic effect and design of optimal antibiotic dosing protocolsR01GM098642 · NIGMS · DUKE UNIVERSITY · PI YOU, LINGCHONG · 2011 to 2025
$3.6M
A synthetic biology approach to analyze evolution of programmed bacterial deathR01GM110494 · NIGMS · DUKE UNIVERSITY · PI YOU, LINGCHONG · 2014 to 2017
$1.2M
NIGMS NIH HHS R01 GM098642NIGMS NIH HHS R01GM098642NIGMS NIH HHS R01 GM110494NIGMS NIH HHS R01GM110494
6 · The paper itself

Abstract

Culturing and measuring bacterial population dynamics are critical to develop insights into gene regulation or bacterial physiology. Traditional methods, based on bulk culture to obtain such quantification, have the limitations of higher cost/volume of reagents, non-amendable to small size of population and more laborious manipulation. To this end, droplet-based microfluidics represents a promising alternative that is cost-effective and high-throughput. However, difficulties in manipulating the droplet environment and monitoring encapsulated bacterial population for long-term experiments limit its utilization. To overcome these limitations, we used an electrode-free injection technology to modulate the chemical environment in droplets. This ability is critical for precise control of bacterial dynamics in droplets. Moreover, we developed a trapping device for long-term monitoring of population dynamics in individual droplets for at least 240 h. We demonstrated the utility of this new microfluidic system by quantifying population dynamics of natural and engineered bacteria. Our approach can further improve the analysis for systems and synthetic biology in terms of manipulability and high temporal resolution.

Indexed as

Lab-On-A-Chip DevicesBacteriaBatch Cell Culture TechniquesBioreactorsCell SeparationEquipment DesignEquipment Failure AnalysisFlow Injection AnalysisMicromanipulationBacterial population dynamicsDroplet injectionDynamic droplet manipulationMicrofluidics

Identifiers

PMID26005763
PMCPMC4527312

What OpenQuestion holds

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Registered trials

None linked

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.