Evidence map›Paper›PMID 24710110›Full record

ArticlePloS one2014

Enhanced genetic tools for engineering multigene traits into green algae.

Beth A Rasala, Syh-Shiuan Chao, Matthew Pier, Daniel J Barrera, Stephen P Mayfield

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Article
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  5. Efficient precision editing of endogenousCell reports methods · 2023
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  7. Molecules (Basel, Switzerland) · 2023
    Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Cloning ofBiology · 2020
    Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

5 authors.

Beth A RasalaCalifornia Center for Algae Biotechnology and Division of Biological Sciences, University of California San Diego, La Jolla, California, United States of America.
Syh-Shiuan ChaoCalifornia Center for Algae Biotechnology and Division of Biological Sciences, University of California San Diego, La Jolla, California, United States of America.
Matthew PierCalifornia Center for Algae Biotechnology and Division of Biological Sciences, University of California San Diego, La Jolla, California, United States of America.
Daniel J BarreraCalifornia Center for Algae Biotechnology and Division of Biological Sciences, University of California San Diego, La Jolla, California, United States of America.
Stephen P MayfieldCalifornia Center for Algae Biotechnology and Division of Biological Sciences, University of California San Diego, La Jolla, California, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transgenic microalgae have the potential to impact many diverse biotechnological industries including energy, human and animal nutrition, pharmaceuticals, health and beauty, and specialty chemicals. However, major obstacles to sophisticated genetic and metabolic engineering in algae have been the lack of well-characterized transformation vectors to direct engineered gene products to specific subcellular locations, and the inability to robustly express multiple nuclear-encoded transgenes within a single cell. Here we validate a set of genetic tools that enable protein targeting to distinct subcellular locations, and present two complementary methods for multigene engineering in the eukaryotic green microalga Chlamydomonas reinhardtii. The tools described here will enable advanced metabolic and genetic engineering to promote microalgae biotechnology and product commercialization.

Indexed as

BiotechnologyChlamydomonas reinhardtiiGenetic EngineeringGenetic EnhancementTransgenes

Identifiers

PMID24710110
PMCPMC3978050

What OpenQuestion holds

Textmetadata
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.