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High-throughput identification of novel conotoxins from the Chinese tubular cone snail (Conus betulinus) by multi-transcriptome sequencing

Overview of attention for article published in Giga Science, April 2016
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  • Good Attention Score compared to outputs of the same age (69th percentile)

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65 Mendeley
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Title
High-throughput identification of novel conotoxins from the Chinese tubular cone snail (Conus betulinus) by multi-transcriptome sequencing
Published in
Giga Science, April 2016
DOI 10.1186/s13742-016-0122-9
Pubmed ID
Authors

Chao Peng, Ge Yao, Bing-Miao Gao, Chong-Xu Fan, Chao Bian, Jintu Wang, Ying Cao, Bo Wen, Yabing Zhu, Zhiqiang Ruan, Xiaofei Zhao, Xinxin You, Jie Bai, Jia Li, Zhilong Lin, Shijie Zou, Xinhui Zhang, Ying Qiu, Jieming Chen, Steven L. Coon, Jiaan Yang, Ji-Sheng Chen, Qiong Shi

Abstract

The venom of predatory marine cone snails mainly contains a diverse array of unique bioactive peptides commonly referred to as conopeptides or conotoxins. These peptides have proven to be valuable pharmacological probes and potential drugs because of their high specificity and affinity to important ion channels, receptors and transporters of the nervous system. Most previous studies have focused specifically on the conopeptides from piscivorous and molluscivorous cone snails, but little attention has been devoted to the dominant vermivorous species. The vermivorous Chinese tubular cone snail, Conus betulinus, is the dominant Conus species inhabiting the South China Sea. The transcriptomes of venom ducts and venom bulbs from a variety of specimens of this species were sequenced using both next-generation sequencing and traditional Sanger sequencing technologies, resulting in the identification of a total of 215 distinct conopeptides. Among these, 183 were novel conopeptides, including nine new superfamilies. It appeared that most of the identified conopeptides were synthesized in the venom duct, while a handful of conopeptides were identified only in the venom bulb and at very low levels. We identified 215 unique putative conopeptide transcripts from the combination of five transcriptomes and one EST sequencing dataset. Variation in conopeptides from different specimens of C. betulinus was observed, which suggested the presence of intraspecific variability in toxin production at the genetic level. These novel conopeptides provide a potentially fertile resource for the development of new pharmaceuticals, and a pathway for the discovery of new conotoxins.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 65 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 18%
Student > Master 10 15%
Student > Ph. D. Student 5 8%
Student > Bachelor 5 8%
Student > Doctoral Student 3 5%
Other 12 18%
Unknown 18 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 25%
Agricultural and Biological Sciences 12 18%
Chemistry 4 6%
Environmental Science 2 3%
Unspecified 2 3%
Other 9 14%
Unknown 20 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 30 March 2018.
All research outputs
#7,205,295
of 25,374,647 outputs
Outputs from Giga Science
#961
of 1,168 outputs
Outputs of similar age
#95,991
of 315,339 outputs
Outputs of similar age from Giga Science
#9
of 10 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,168 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.8. This one is in the 17th percentile – i.e., 17% 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 315,339 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 69% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one.