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Unraveling retrograde signaling pathways: finding candidate signaling molecules via metabolomics and systems biology driven approaches

Overview of attention for article published in Frontiers in Plant Science, January 2012
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Title
Unraveling retrograde signaling pathways: finding candidate signaling molecules via metabolomics and systems biology driven approaches
Published in
Frontiers in Plant Science, January 2012
DOI 10.3389/fpls.2012.00267
Pubmed ID
Authors

Camila Caldana, Alisdair R. Fernie, Lothar Willmitzer, Dirk Steinhauser

Abstract

A tight coordination of biological processes between cellular compartments and organelles is crucial for the survival of any eukaryotic organism. According to cellular requirements, signals can be generated within organelles, such as chloroplasts and mitochondria, modulating the nuclear gene expression in a process called retrograde signaling. Whilst many research efforts have been focused on dissecting retrograde signaling pathways using biochemical and genetics approaches, metabolomics and systems biology driven studies have illustrated their great potential for hypotheses generation and for dissecting signaling networks in a rather unbiased or untargeted fashion. Recently, integrative genomics approaches, in which correlation analysis has been applied on transcript and metabolite profiling data of Arabidopsis thaliana, revealed the identification of metabolites which are putatively acting as mediators of nuclear gene expression. Complimentary, the continuous technological developments in the field of metabolomics per se has further demonstrated its potential as a very suitable readout to unravel metabolite-mediated signaling processes. As foundation for these studies here we outline and discuss recent advances in elucidating retrograde signaling molecules and pathways with an emphasis on metabolomics and systems biology driven approaches.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 3%
Colombia 1 2%
Austria 1 2%
Brazil 1 2%
Czechia 1 2%
Unknown 53 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 25%
Researcher 11 19%
Professor > Associate Professor 7 12%
Student > Doctoral Student 6 10%
Other 5 8%
Other 9 15%
Unknown 6 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 59%
Biochemistry, Genetics and Molecular Biology 8 14%
Chemistry 5 8%
Medicine and Dentistry 1 2%
Business, Management and Accounting 1 2%
Other 0 0%
Unknown 9 15%
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 05 December 2012.
All research outputs
#20,174,175
of 22,687,320 outputs
Outputs from Frontiers in Plant Science
#15,783
of 19,884 outputs
Outputs of similar age
#221,217
of 244,125 outputs
Outputs of similar age from Frontiers in Plant Science
#109
of 195 outputs
Altmetric has tracked 22,687,320 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 19,884 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 244,125 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 195 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.