↓ Skip to main content

Delineation of condition specific Cis- and Trans-acting elements in plant promoters under various Endo- and exogenous stimuli

Overview of attention for article published in BMC Genomics, May 2018
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
19 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Delineation of condition specific Cis- and Trans-acting elements in plant promoters under various Endo- and exogenous stimuli
Published in
BMC Genomics, May 2018
DOI 10.1186/s12864-018-4469-4
Pubmed ID
Authors

Chi-Nga Chow, Yi-Fan Chiang-Hsieh, Chia-Hung Chien, Han-Qin Zheng, Tzong-Yi Lee, Nai-Yun Wu, Kuan-Chieh Tseng, Ping-Fu Hou, Wen-Chi Chang

Abstract

Transcription factors (TFs) play essential roles during plant development and response to environmental stresses. However, the relationships among transcription factors, cis-acting elements and target gene expression under endo- and exogenous stimuli have not been systematically characterized. Here, we developed a series of bioinformatics analysis methods to infer transcriptional regulation by using numerous gene expression data from abiotic stresses and hormones treatments. After filtering the expression profiles of TF-encoding genes, 291 condition specific transcription factors (CsTFs) were obtained. Differentially expressed genes were then classified into various co-expressed gene groups based on each CsTFs. In the case studies of heat stress and ABA treatment, several known and novel cis-acting elements were identified following our bioinformatics approach. Significantly, a palindromic sequence of heat-responsive elements is recognized, and also obtained from a 3D protein structure of heat-shock protein-DNA complex. Notably, overrepresented 3- and 4-mer motifs in an enriched 8-mer motif could be a core cis-element for a CsTF. In addition, the results suggest DNA binding preferences of the same CsTFs are different according to various conditions. The overall results illustrate this study may be useful in identifying condition specific cis- and trans- regulatory elements and facilitate our understanding of the relationships among TFs, cis-acting elements and target gene expression.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 21%
Student > Master 4 21%
Researcher 3 16%
Student > Doctoral Student 3 16%
Student > Bachelor 2 11%
Other 0 0%
Unknown 3 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 53%
Biochemistry, Genetics and Molecular Biology 3 16%
Chemical Engineering 2 11%
Unknown 4 21%
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 17 May 2018.
All research outputs
#18,612,796
of 23,056,273 outputs
Outputs from BMC Genomics
#8,231
of 10,702 outputs
Outputs of similar age
#253,699
of 327,414 outputs
Outputs of similar age from BMC Genomics
#184
of 250 outputs
Altmetric has tracked 23,056,273 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,702 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% 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 327,414 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 250 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.