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Extensive identification and analysis of conserved small ORFs in animals

Overview of attention for article published in Genome Biology, September 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)

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Title
Extensive identification and analysis of conserved small ORFs in animals
Published in
Genome Biology, September 2015
DOI 10.1186/s13059-015-0742-x
Pubmed ID
Authors

Sebastian D. Mackowiak, Henrik Zauber, Chris Bielow, Denise Thiel, Kamila Kutz, Lorenzo Calviello, Guido Mastrobuoni, Nikolaus Rajewsky, Stefan Kempa, Matthias Selbach, Benedikt Obermayer

Abstract

There is increasing evidence that transcripts or transcript regions annotated as non-coding can harbor functional short open reading frames (sORFs). Loss-of-function experiments have identified essential developmental or physiological roles for a few of the encoded peptides (micropeptides), but genome-wide experimental or computational identification of functional sORFs remains challenging. Here, we expand our previously developed method and present results of an integrated computational pipeline for the identification of conserved sORFs in human, mouse, zebrafish, fruit fly, and the nematode C. elegans. Isolating specific conservation signatures indicative of purifying selection on amino acid (rather than nucleotide) sequence, we identify about 2,000 novel small ORFs located in the untranslated regions of canonical mRNAs or on transcripts annotated as non-coding. Predicted sORFs show stronger conservation signatures than those identified in previous studies and are sometimes conserved over large evolutionary distances. The encoded peptides have little homology to known proteins and are enriched in disordered regions and short linear interaction motifs. Published ribosome profiling data indicate translation of more than 100 novel sORFs, and mass spectrometry data provide evidence for more than 70 novel candidates. Taken together, we identify hundreds of previously unknown conserved sORFs in major model organisms. Our computational analyses and integration with experimental data show that these sORFs are expressed, often translated, and sometimes widely conserved, in some cases even between vertebrates and invertebrates. We thus provide an integrated resource of putatively functional micropeptides for functional validation in vivo.

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X Demographics

The data shown below were collected from the profiles of 15 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 315 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 <1%
United States 2 <1%
Israel 1 <1%
Brazil 1 <1%
Denmark 1 <1%
Taiwan 1 <1%
Japan 1 <1%
Spain 1 <1%
Unknown 305 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 73 23%
Student > Ph. D. Student 56 18%
Student > Master 43 14%
Student > Bachelor 33 10%
Student > Doctoral Student 14 4%
Other 32 10%
Unknown 64 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 112 36%
Agricultural and Biological Sciences 85 27%
Computer Science 15 5%
Medicine and Dentistry 11 3%
Immunology and Microbiology 4 1%
Other 16 5%
Unknown 72 23%
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 11 January 2017.
All research outputs
#4,760,313
of 25,374,647 outputs
Outputs from Genome Biology
#2,774
of 4,467 outputs
Outputs of similar age
#56,463
of 280,722 outputs
Outputs of similar age from Genome Biology
#60
of 82 outputs
Altmetric has tracked 25,374,647 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 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 37th percentile – i.e., 37% 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 280,722 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 79% of its contemporaries.
We're also able to compare this research output to 82 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.