Evidence map›Paper›PMID 30404358›Full record

ReviewMicromachines2016

Review of Microfluidic Photobioreactor Technology for Metabolic Engineering and Synthetic Biology of Cyanobacteria and Microalgae.

Ya-Tang Yang, Chun Ying Wang

Abstract readReview
In one paragraph

Review in Micromachines, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Review
  3. Microfluidic Microalgae System: A Review.Molecules (Basel, Switzerland) · 2022
    Review
  4. Review
  5. Article
  6. Microfluidic tools for lipid production and modification: a review.Environmental science and pollution research international · 2019
    Review
  7. High-Throughput Screening ofBiomolecules · 2019
    Article
  8. Review
  9. Article
  10. Review
  11. 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

2 authors.

Ya-Tang YangDepartment of Electrical Engineering, National Tsing Hua University, Hsinchu 30013, Taiwan. ytyang@ee.nthu.edu.tw.
Chun Ying WangDepartment of Electrical Engineering, National Tsing Hua University, Hsinchu 30013, Taiwan. chun-ying.wang@synmikro.mpi-marburg.mpg.de.

Funding

Ministry of Science and Technology, Taiwan 103-2220-E-007-026Ministry of Science and Technology, Taiwan 104-2220-E-007-011Ministry of Science and Technology, Taiwan 105-2221-E-007Ministry of Science and Technology, Taiwan 105-2622-8-007-009National Tsing Hua University, Taiwan 103N2042E1National Tsing Hua University, Taiwan 104N2042E1National Tsing Hua University, Taiwan 105N518CE1
6 · The paper itself

Abstract

One goal of metabolic engineering and synthetic biology for cyanobacteria and microalgae is to engineer strains that can optimally produce biofuels and commodity chemicals. However, the current workflow is slow and labor intensive with respect to assembly of genetic parts and characterization of production yields because of the slow growth rates of these organisms. Here, we review recent progress in the microfluidic photobioreactors and identify opportunities and unmet needs in metabolic engineering and synthetic biology. Because of the unprecedented experimental resolution down to the single cell level, long-term real-time monitoring capability, and high throughput with low cost, microfluidic photobioreactor technology will be an indispensible tool to speed up the development process, advance fundamental knowledge, and realize the full potential of metabolic engineering and synthetic biology for cyanobacteria and microalgae.

Indexed as

bioreactorcyanobacteriametabolic engineeringmicrofluidicsoptofluidicsphotobiologyphotobioreactorphotosynthesissynthetic biology

Identifiers

PMID30404358
PMCPMC6190437

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.