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Pateamine A-sensitive ribosome profiling reveals the scope of translation in mouse embryonic stem cells

Overview of attention for article published in BMC Genomics, January 2016
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  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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Title
Pateamine A-sensitive ribosome profiling reveals the scope of translation in mouse embryonic stem cells
Published in
BMC Genomics, January 2016
DOI 10.1186/s12864-016-2384-0
Pubmed ID
Authors

Alexandra Popa, Kevin Lebrigand, Pascal Barbry, Rainer Waldmann

Abstract

Open reading frames are common in long noncoding RNAs (lncRNAs) and 5'UTRs of protein coding transcripts (uORFs). The question of whether those ORFs are translated was recently addressed by several groups using ribosome profiling. Most of those studies concluded that certain lncRNAs and uORFs are translated, essentially based on computational analysis of ribosome footprints. However, major discrepancies remain on the scope of translation and the translational status of individual ORFs. In consequence, further criteria are required to reliably identify translated ORFs from ribosome profiling data. We examined the effect of the translation inhibitors pateamine A, harringtonine and puromycin on murine ES cell ribosome footprints. We found that pateamine A, a drug that targets eIF4A, allows a far more accurate identification of translated sequences than previously used drugs and computational scoring schemes. Our data show that at least one third but less than two thirds of ES cell lncRNAs are translated. We also identified translated uORFs in hundreds of annotated coding transcripts including key pluripotency transcripts, such as dicer, lin28, trim71, and ctcf. Pateamine A inhibition data clearly increase the precision of the detection of translated ORFs in ribosome profiling experiments. Our data show that translation of lncRNAs and uORFs in murine ES cells is rather common although less pervasive than previously suggested. The observation of translated uORFs in several key pluripotency transcripts suggests that translational regulation by uORFs might be part of the network that defines mammalian stem cell identity.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 26%
Researcher 13 21%
Student > Bachelor 5 8%
Student > Doctoral Student 5 8%
Student > Master 5 8%
Other 6 10%
Unknown 12 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 20 32%
Agricultural and Biological Sciences 20 32%
Neuroscience 5 8%
Medicine and Dentistry 2 3%
Mathematics 1 2%
Other 1 2%
Unknown 13 21%
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 29 February 2016.
All research outputs
#6,495,853
of 23,881,329 outputs
Outputs from BMC Genomics
#2,689
of 10,793 outputs
Outputs of similar age
#101,755
of 400,972 outputs
Outputs of similar age from BMC Genomics
#60
of 254 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 10,793 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 74% 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 400,972 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 74% of its contemporaries.
We're also able to compare this research output to 254 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.