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Identification and characterization of ncRNA-associated ceRNA networks in Arabidopsis leaf development

Overview of attention for article published in BMC Genomics, August 2018
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Title
Identification and characterization of ncRNA-associated ceRNA networks in Arabidopsis leaf development
Published in
BMC Genomics, August 2018
DOI 10.1186/s12864-018-4993-2
Pubmed ID
Authors

Xianwen Meng, Peijing Zhang, Qi Chen, Jingjing Wang, Ming Chen

Abstract

Leaf development is a complex biological process that is accompanied by wide transcriptional changes. Many protein-coding genes have been characterized in plant leaves, but little attention has been given to noncoding RNAs (ncRNAs). Moreover, increasing evidence indicates that an intricate interplay among RNA species, including protein-coding RNAs and ncRNAs, exists in eukaryotic transcriptomes, however, it remains elusive in plant leaves. We detected novel ncRNAs, such as circular RNAs (circRNAs) and long noncoding RNAs (lncRNAs), and further constructed and analyzed their associated competitive endogenous RNA (ceRNA) networks in Arabidopsis leaves. Transcriptome profiling showed extensive changes during leaf development. In addition, comprehensive detection of circRNAs in other plant leaves suggested that circRNAs are widespread in plant leaves. To investigate the complex post-transcriptional interactions in Arabidopsis leaves, we constructed a global circRNA/lncRNA-associated ceRNA network. Functional analysis revealed that ceRNAs were highly correlated with leaf development. These ceRNAs could be divided into six clusters, which were enriched for different functional classes. Stage-specific ceRNA networks were further constructed and comparative analysis revealed different roles of stage common and specific hub ceRNAs. Our results demonstrate that understanding the ceRNA interactions will lead insights into gene regulations implicated in leaf development.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 20%
Student > Master 3 10%
Student > Bachelor 2 7%
Student > Doctoral Student 2 7%
Researcher 2 7%
Other 5 17%
Unknown 10 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 43%
Biochemistry, Genetics and Molecular Biology 5 17%
Environmental Science 1 3%
Chemistry 1 3%
Unknown 10 33%
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 19 August 2018.
All research outputs
#14,422,940
of 23,099,576 outputs
Outputs from BMC Genomics
#5,733
of 10,707 outputs
Outputs of similar age
#186,208
of 330,840 outputs
Outputs of similar age from BMC Genomics
#90
of 186 outputs
Altmetric has tracked 23,099,576 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,707 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 42nd percentile – i.e., 42% 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 330,840 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 186 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.