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Proteomics informed by transcriptomics for characterising active transposable elements and genome annotation in Aedes aegypti

Overview of attention for article published in BMC Genomics, January 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

blogs
1 blog
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17 X users

Citations

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53 Dimensions

Readers on

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138 Mendeley
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2 CiteULike
Title
Proteomics informed by transcriptomics for characterising active transposable elements and genome annotation in Aedes aegypti
Published in
BMC Genomics, January 2017
DOI 10.1186/s12864-016-3432-5
Pubmed ID
Authors

Kevin Maringer, Amjad Yousuf, Kate J. Heesom, Jun Fan, David Lee, Ana Fernandez-Sesma, Conrad Bessant, David A. Matthews, Andrew D. Davidson

Abstract

Aedes aegypti is a vector for the (re-)emerging human pathogens dengue, chikungunya, yellow fever and Zika viruses. Almost half of the Ae. aegypti genome is comprised of transposable elements (TEs). Transposons have been linked to diverse cellular processes, including the establishment of viral persistence in insects, an essential step in the transmission of vector-borne viruses. However, up until now it has not been possible to study the overall proteome derived from an organism's mobile genetic elements, partly due to the highly divergent nature of TEs. Furthermore, as for many non-model organisms, incomplete genome annotation has hampered proteomic studies on Ae. aegypti. We analysed the Ae. aegypti proteome using our new proteomics informed by transcriptomics (PIT) technique, which bypasses the need for genome annotation by identifying proteins through matched transcriptomic (rather than genomic) data. Our data vastly increase the number of experimentally confirmed Ae. aegypti proteins. The PIT analysis also identified hotspots of incomplete genome annotation, and showed that poor sequence and assembly quality do not explain all annotation gaps. Finally, in a proof-of-principle study, we developed criteria for the characterisation of proteomically active TEs. Protein expression did not correlate with a TE's genomic abundance at different levels of classification. Most notably, long terminal repeat (LTR) retrotransposons were markedly enriched compared to other elements. PIT was superior to 'conventional' proteomic approaches in both our transposon and genome annotation analyses. We present the first proteomic characterisation of an organism's repertoire of mobile genetic elements, which will open new avenues of research into the function of transposon proteins in health and disease. Furthermore, our study provides a proof-of-concept that PIT can be used to evaluate a genome's annotation to guide annotation efforts which has the potential to improve the efficiency of annotation projects in non-model organisms. PIT therefore represents a valuable new tool to study the biology of the important vector species Ae. aegypti, including its role in transmitting emerging viruses of global public health concern.

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 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 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
United Kingdom 1 <1%
Canada 1 <1%
Brazil 1 <1%
Unknown 133 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 27 20%
Student > Bachelor 21 15%
Student > Ph. D. Student 20 14%
Student > Master 14 10%
Other 9 7%
Other 29 21%
Unknown 18 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 37 27%
Agricultural and Biological Sciences 35 25%
Unspecified 8 6%
Immunology and Microbiology 7 5%
Medicine and Dentistry 7 5%
Other 20 14%
Unknown 24 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 16 May 2018.
All research outputs
#2,099,766
of 24,677,985 outputs
Outputs from BMC Genomics
#537
of 11,038 outputs
Outputs of similar age
#43,355
of 426,768 outputs
Outputs of similar age from BMC Genomics
#17
of 217 outputs
Altmetric has tracked 24,677,985 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,038 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 95% 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 426,768 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 217 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.