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Ribosome profiling reveals translation control as a key mechanism generating differential gene expression in Trypanosoma cruzi

Overview of attention for article published in BMC Genomics, June 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

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9 X users
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1 Wikipedia page

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202 Mendeley
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Title
Ribosome profiling reveals translation control as a key mechanism generating differential gene expression in Trypanosoma cruzi
Published in
BMC Genomics, June 2015
DOI 10.1186/s12864-015-1563-8
Pubmed ID
Authors

Pablo Smircich, Guillermo Eastman, Saloe Bispo, María Ana Duhagon, Eloise P Guerra-Slompo, Beatriz Garat, Samuel Goldenberg, David J Munroe, Bruno Dallagiovanna, Fabiola Holetz, Jose R Sotelo-Silveira

Abstract

Due to the absence of transcription initiation regulation of protein coding genes transcribed by RNA polymerase II, posttranscriptional regulation is responsible for the majority of gene expression changes in trypanosomatids. Therefore, cataloging the abundance of mRNAs (transcriptome) and the level of their translation (translatome) is a key step to understand control of gene expression in these organisms. Here we assess the extent of regulation of the transcriptome and the translatome in the Chagas disease causing agent, Trypanosoma cruzi, in both the non-infective (epimastigote) and infective (metacyclic trypomastigote) insect's life stages using RNA-seq and ribosome profiling. The observed steady state transcript levels support constitutive transcription and maturation implying the existence of distinctive posttranscriptional regulatory mechanisms controlling gene expression levels at those parasite stages. Meanwhile, the downregulation of a large proportion of the translatome indicates a key role of translation control in differentiation into the infective form. The previously described proteomic data correlate better with the translatomes than with the transcriptomes and translational efficiency analysis shows a wide dynamic range, reinforcing the importance of translatability as a regulatory step. Translation efficiencies for protein families like ribosomal components are diminished while translation of the transialidase virulence factors is upregulated in the quiescent infective metacyclic trypomastigote stage. A large subset of genes is modulated at the translation level in two different stages of Trypanosoma cruzi life cycle. Translation upregulation of virulence factors and downregulation of ribosomal proteins indicates different degrees of control operating to prepare the parasite for an infective life form. Taking together our results show that translational regulation, in addition to regulation of steady state level of mRNA, is a major factor playing a role during the parasite differentiation.

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X Demographics

The data shown below were collected from the profiles of 9 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 202 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 <1%
Germany 1 <1%
United States 1 <1%
Unknown 198 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 44 22%
Researcher 33 16%
Student > Master 18 9%
Student > Doctoral Student 16 8%
Student > Bachelor 16 8%
Other 43 21%
Unknown 32 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 71 35%
Agricultural and Biological Sciences 64 32%
Immunology and Microbiology 5 2%
Unspecified 4 2%
Computer Science 2 <1%
Other 14 7%
Unknown 42 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 December 2021.
All research outputs
#4,309,485
of 23,881,329 outputs
Outputs from BMC Genomics
#1,711
of 10,793 outputs
Outputs of similar age
#52,639
of 268,639 outputs
Outputs of similar age from BMC Genomics
#39
of 228 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,793 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 84% 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 268,639 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 80% of its contemporaries.
We're also able to compare this research output to 228 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.