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Pre-fractionation strategies to resolve pea (Pisum sativum) sub-proteomes

Overview of attention for article published in Frontiers in Plant Science, October 2015
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Title
Pre-fractionation strategies to resolve pea (Pisum sativum) sub-proteomes
Published in
Frontiers in Plant Science, October 2015
DOI 10.3389/fpls.2015.00849
Pubmed ID
Authors

Claudia-Nicole Meisrimler, Ljiljana Menckhoff, Biljana M. Kukavica, Sabine Lüthje

Abstract

Legumes are important crop plants and pea (Pisum sativum L.) has been investigated as a model with respect to several physiological aspects. The sequencing of the pea genome has not been completed. Therefore, proteomic approaches are currently limited. Nevertheless, the increasing numbers of available EST-databases as well as the high homology of the pea and medicago genome (Medicago truncatula Gaertner) allow the successful identification of proteins. Due to the un-sequenced pea genome, pre-fractionation approaches have been used in pea proteomic surveys in the past. Aside from a number of selective proteome studies on crude extracts and the chloroplast, few studies have targeted other components such as the pea secretome, an important sub-proteome of interest due to its role in abiotic and biotic stress processes. The secretome itself can be further divided into different sub-proteomes (plasma membrane, apoplast, cell wall proteins). Cell fractionation in combination with different gel-electrophoresis, chromatography methods and protein identification by mass spectrometry are important partners to gain insight into pea sub-proteomes, post-translational modifications and protein functions. Overall, pea proteomics needs to link numerous existing physiological and biochemical data to gain further insight into adaptation processes, which play important roles in field applications. Future developments and directions in pea proteomics are discussed.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 21%
Researcher 7 21%
Student > Bachelor 3 9%
Professor > Associate Professor 3 9%
Student > Master 3 9%
Other 4 12%
Unknown 7 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 32%
Biochemistry, Genetics and Molecular Biology 6 18%
Medicine and Dentistry 4 12%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Social Sciences 1 3%
Other 3 9%
Unknown 8 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 October 2015.
All research outputs
#20,294,248
of 22,830,751 outputs
Outputs from Frontiers in Plant Science
#16,042
of 20,146 outputs
Outputs of similar age
#237,871
of 283,771 outputs
Outputs of similar age from Frontiers in Plant Science
#286
of 382 outputs
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We're also able to compare this research output to 382 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.