| Title |
An expression atlas of miRNAs in Arabidopsis thaliana
|
|---|---|
| Published in |
Science China Life Sciences, November 2017
|
| DOI | 10.1007/s11427-017-9199-1 |
| Pubmed ID | |
| Authors |
Le Xu, Yugang Hu, Ying Cao, Jingrui Li, Ligeng Ma, Yan Li, Yijun Qi |
| Abstract |
MicroRNAs (miRNAs) are small non-coding RNAs that regulate a variety of biological processes. MiRNA expression often exhibits spatial and temporal specificity. However, genome-wide miRNA expression patterns in different organs during development of Arabidopsis thaliana have not yet been systemically investigated. In this study, we sequenced small RNA libraries generated from 27 different organ/tissue types, which cover the entire life cycle of Arabidopsis. Analysis of the sequencing data revealed that most miRNAs are ubiquitously expressed, whereas a small set of miRNAs display highly specific expression patterns. In addition, different miRNA members within the same family have distinct spatial and temporal expression patterns. Moreover, we found that some miRNAs are produced from different arms of their hairpin precursors at different developmental stages. This work provides new insights into the regulation of miRNA biogenesis and a rich resource for future investigation of miRNA functions in Arabidopsis. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 50% |
| Spain | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 50% |
| Members of the public | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 21% |
| Student > Master | 7 | 18% |
| Student > Bachelor | 4 | 10% |
| Researcher | 4 | 10% |
| Student > Doctoral Student | 2 | 5% |
| Other | 5 | 13% |
| Unknown | 9 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 16 | 41% |
| Biochemistry, Genetics and Molecular Biology | 8 | 21% |
| Unspecified | 1 | 3% |
| Computer Science | 1 | 3% |
| Decision Sciences | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 11 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 06 February 2020.
All research outputs
#5,601,387
of 23,009,818 outputs
Outputs from Science China Life Sciences
#210
of 1,009 outputs
Outputs of similar age
#108,031
of 438,562 outputs
Outputs of similar age from Science China Life Sciences
#6
of 38 outputs
Altmetric has tracked 23,009,818 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,009 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.4. This one has done well, scoring higher than 78% of its peers.
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We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.