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Transcriptomic, proteomic and metabolic changes in Arabidopsis thaliana leaves after the onset of illumination

Overview of attention for article published in BMC Plant Biology, February 2016
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Title
Transcriptomic, proteomic and metabolic changes in Arabidopsis thaliana leaves after the onset of illumination
Published in
BMC Plant Biology, February 2016
DOI 10.1186/s12870-016-0726-3
Pubmed ID
Authors

Chao Liang, Shifeng Cheng, Youjun Zhang, Yuzhe Sun, Alisdair R. Fernie, Kang Kang, Gianni Panagiotou, Clive Lo, Boon Leong Lim

Abstract

Light plays an important role in plant growth and development. In this study, the impact of light on physiology of 20-d-old Arabidopsis leaves was examined through transcriptomic, proteomic and metabolomic analysis. Since the energy-generating electron transport chains in chloroplasts and mitochondria are encoded by both nuclear and organellar genomes, sequencing total RNA after removal of ribosomal RNAs provides essential information on transcription of organellar genomes. The changes in the levels of ADP, ATP, NADP(+), NADPH and 41 metabolites upon illumination were also quantified. Upon illumination, while the transcription of the genes encoded by the plastid genome did not change significantly, the transcription of nuclear genes encoding different functional complexes in the photosystem are differentially regulated whereas members of the same complex are co-regulated with each other. The abundance of mRNAs and proteins encoded by all three genomes are, however, not always positively correlated. One such example is the negative correlation between mRNA and protein abundances of the photosystem components, which reflects the importance of post-transcriptional regulation in plant physiology. This study provides systems-wide datasets which allow plant researchers to examine the changes in leaf transcriptomes, proteomes and key metabolites upon illumination and to determine whether there are any correlations between changes in transcript and protein abundances of a particular gene or pathway upon illumination. The integration of data of the organelles and the photosystems, Calvin-Benson cycle, carbohydrate metabolism, glycolysis, the tricarboxylic acid cycle and respiratory chain, thereby provides a more complete picture to the changes in plant physiology upon illumination than has been attained to date.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 1%
United States 1 1%
Germany 1 1%
Unknown 73 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 24%
Researcher 13 17%
Student > Bachelor 8 11%
Student > Master 6 8%
Other 5 7%
Other 7 9%
Unknown 19 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 38 50%
Biochemistry, Genetics and Molecular Biology 8 11%
Engineering 2 3%
Computer Science 2 3%
Environmental Science 1 1%
Other 2 3%
Unknown 23 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 04 July 2016.
All research outputs
#13,458,480
of 22,849,304 outputs
Outputs from BMC Plant Biology
#984
of 3,256 outputs
Outputs of similar age
#193,631
of 400,580 outputs
Outputs of similar age from BMC Plant Biology
#18
of 66 outputs
Altmetric has tracked 22,849,304 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,256 research outputs from this source. They receive a mean Attention Score of 3.0. This one has gotten more attention than average, scoring higher than 67% of its peers.
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 400,580 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.