Evidence map›Paper›PMID 23880863›Full record

ArticleInternational journal of molecular sciences2013

Impacts of pr-10a overexpression at the molecular and the phenotypic level.

Lea A I Vaas, Maja Marheine, Johannes Sikorski, Markus Göker, Heinz-Martin Schumacher

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

9 citing papers in PubMed, 9 citations in OpenAlex.

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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

5 authors at 1 institution in 2 countries.

Lea A I VaasDSMZ-German Collection for Microorganisms and Cell Cultures, Inhoffenstr. 7b, 38124 Braunschweig, Germany. lev09@dsmz.de
Maja Marheine
Johannes Sikorski
Markus Göker
Heinz-Martin Schumacher
Leibniz Institute DSMZ – German Collection of Microorganisms and Cell Cultures · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biotechnological approaches using genetic modifications such as homologous gene overexpression can be used to decode gene functions under well-defined circumstances. However, only the recording of the resulting phenotypes allows inferences about the impact of the modification on the organisms' evolutionary, ecological or economic performance. We here compare a potato wild-type cell line with two genetically engineered cell cultures homologously overexpressing Pathogenesis Related Protein 10a (pr-10a). A detailed analysis of the relative gene-expression patterns of pr-10a and its regulators sebf and pti4 over time provides insights into the molecular response of heterotrophic cells to distinct osmotic and salt-stress conditions. Furthermore, this system serves as an exemplar for the tracing of respiration kinetics as a faster and more sensitive alternative to the laborious and time-consuming recording of growth curves. The utility and characteristics of the resulting data type and the requirements for its appropriate analysis are figured out. It is demonstrated how this novel type of phenotypic information together with the gene-expression-data provides valuable insights into the effect of genetic modifications on the behaviour of cells on both the molecular and the macroscopic level.

Indexed as

DNA-Binding ProteinsGene ExpressionGenotypeHydro-LyasesNuclear ProteinsOsmotic PressurePhenotypePlant ProteinsPlants, Genetically ModifiedPromoter Regions, GeneticSolanum tuberosumDNA-Binding ProteinsHydro-Lyasesmannopine synthaseNuclear ProteinsPBF-2 protein, Solanum tuberosumPlant Proteins

Identifiers

PMID23880863
PMCPMC3742292
OpenAlexW2151852741

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.