Evidence map›Paper›PMID 34028778›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2021

Regulated Chloroplast Gene Expression in Chlamydomonas.

Jean-David Rochaix, Raymond Surzycki, Silvia Ramundo

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.6field-weighted citation impact, top 10% of its field
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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Harnessing microalgae for bioproducts: innovations in synthetic biology.World journal of microbiology & biotechnology · 2025
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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

3 authors at 3 institutions in 2 countries.

Jean-David RochaixDepartments of Molecular Biology and Plant Biology, University of Geneva, Geneva, Switzerland. Jean-David.Rochaix@unige.ch.
Raymond SurzyckiSolarvest BioEnergy Inc., Bloomington, IN, USA.
Silvia RamundoSchool of Medicine, UC San Francisco, San Francisco, CA, USA.
Bioenergy Life Science (United States) · USUniversity of California, San Francisco · USUniversity of Geneva · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The green unicellular alga Chlamydomonas reinhardtii has emerged as a very attractive model system for chloroplast genetic engineering. Algae can be transformed readily at the chloroplast level through bombardment of cells with a gene gun and transformants can be selected using antibiotic resistance or phototrophic growth. An inducible chloroplast gene expression system could be very useful for several reasons. First, it could be used to elucidate the function of essential chloroplast genes required for cell growth and survival. Second, it could be very helpful for expressing proteins which are toxic to the algal cells. Third, it would allow for the reversible depletion of photosynthetic complexes, thus making it possible to study their biogenesis in a controlled fashion. Fourth, it opens promising possibilities for hydrogen production in Chlamydomonas. Here we describe an inducible/ repressible chloroplast gene expression system in Chlamydomonas in which the copper-regulated Cyc

Indexed as

Gene Expression Regulation, PlantGenes, ChloroplastTransformation, GeneticChlamydomonas reinhardtiiChloroplastsGenetic EngineeringPlants, Genetically ModifiedPromoter Regions, GeneticRiboswitchRiboswitchChlamydomonasChloroplast geneChloroplast geneticsChloroplast transformationInducible chloroplast gene expressionInducible promoterTrans-acting factor

Identifiers

PMID34028778
OpenAlexW3165530821

What OpenQuestion holds

Textmetadata
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.