Evidence map›Paper›PMID 31284720›Full record

ArticleAnalytical chemistry2019

Building Dynamic Cellular Machineries in Droplet-Based Artificial Cells with Single-Droplet Tracking and Analysis.

Meng Sun, Zhengda Li, Shiyuan Wang, Gembu Maryu, Qiong Yang

Abstract read
In one paragraph

Article in Analytical chemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. In vitro cell cycle oscillations exhibit a robust and hysteretic response to changes in cytoplasmic density.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  8. Engineering spatiotemporal organization and dynamics in synthetic cells.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology · 2021
    Review
  9. Article
  10. Article
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

5 authors.

Meng SunDepartment of Biophysics , University of Michigan , 930 N. University Avenue , Ann Arbor , Michigan 48109 , United States.
Zhengda LiDepartment of Biophysics , University of Michigan , 930 N. University Avenue , Ann Arbor , Michigan 48109 , United States.
Shiyuan WangDepartment of Biophysics , University of Michigan , 930 N. University Avenue , Ann Arbor , Michigan 48109 , United States.
Gembu MaryuDepartment of Biophysics , University of Michigan , 930 N. University Avenue , Ann Arbor , Michigan 48109 , United States.
Qiong YangDepartment of Biophysics , University of Michigan , 930 N. University Avenue , Ann Arbor , Michigan 48109 , United States.ORCID 0000-0002-2442-2094

Funding

Supplement: Quantitative in vitro and in vivo analyses of oscillatory processes in early zebrafish embryosR35GM119688 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI YANG, QIONG · 2016 to 2020
$1.9M
NIGMS NIH HHS R35 GM119688
6 · The paper itself

Abstract

Although the application of droplet microfluidics has grown exponentially in chemistry and biology over the past decades, robust universal platforms for the routine generation and comprehensive analysis of droplet-based artificial cells are still rare. Here we report using microfluidic droplets to reproduce a variety of types of cellular machinery in in vitro artificial cells. In combination with a unique image-based analysis method, the system enables full automation in tracking single droplets with high accuracy, high throughput, and high sensitivity. These powerful performances allow broad applicability evident in three representative droplet-based analytical prototypes that we develop for (i) droplet digital detection, (ii) in vitro transcription and translation reactions, and (iii) spatiotemporal dynamics of cell-cycle oscillations. The capacities of this platform to generate, incubate, track, and analyze individual microdroplets via real-time, long-term imaging unleash its great potential in accelerating cell-free synthetic biology. Moreover, the wide scope covering from digital to analog to morphological detections makes this droplet analysis technique adaptable for many other divergent types of droplet-based chemical and biological assays.

Indexed as

Lab-On-A-Chip DevicesArtificial CellsCell CycleProtein BiosynthesisTranscription, Genetic

Identifiers

PMID31284720
PMCPMC7260773

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.