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Article details
Title
Identification and quantification of newly synthesized proteins translationally regulated by YB-1 using a novel Click–SILAC approach
Published in
Journal of Proteomics, September 2012
DOI 10.1016/j.jprot.2012.08.019
Pubmed ID
Authors
Abstract

Messenger RNA-binding translational regulatory proteins determine in large part the spectrum of transcripts that are translated under specific cellular contexts. Y-box binding protein-1 (YB-1) is a conserved eukaryotic translational regulator that is implicated in cancer progression. To identify specific proteins that are translationally regulated by YB-1, we established a pulse-labelling approach combining Click chemistry and stable isotope labelling by amino acids in cell culture (SILAC). The proteome of TC32 human Ewing sarcoma cells, which robustly express YB-1, was compared with or without YB-1 siRNA knockdown. Cells labelled with light or heavy isotopologs of Arg and Lys were then cotranslationally pulsed with the methionine derivative, azidohomoalanine (AHA). Cells were lysed and newly synthesized proteins were selectively derivatized via a Click (3+2 cycloaddition) reaction to add an alkyne biotin tag. They were then affinity purified and subjected to liquid chromatography-tandem mass spectrometry. This combined Click-SILAC approach enabled us to catalog and quantify newly synthesized proteins regulated by YB-1 after only 45 min of labelling. Bioinformatic analysis revealed that YB-1 regulated proteins are involved in diverse biological pathways. We anticipate that this Click-SILAC strategy will be useful for studying short-term protein synthesis in different cell culture systems and under diverse biological contexts.

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X Demographics

X Demographics

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 4 5%
Korea, Republic of 1 1%
United Kingdom 1 1%
Germany 1 1%
Brazil 1 1%
Unknown 74 90%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 25 30%
Researcher 15 18%
Student > Master 8 10%
Professor > Associate Professor 6 7%
Student > Doctoral Student 4 5%
Other 12 15%
Unknown 12 15%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 27 33%
Biochemistry, Genetics and Molecular Biology 19 23%
Chemistry 7 9%
Medicine and Dentistry 4 5%
Neuroscience 3 4%
Other 9 11%
Unknown 13 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 03 June 2014.
All research outputs
#20,655,488
of 25,373,627 outputs
Outputs from Journal of Proteomics
#2,625
of 3,461 outputs
Outputs of similar age
#146,469
of 186,989 outputs
Outputs of similar age from Journal of Proteomics
#27
of 36 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,461 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 11th percentile – i.e., 11% of its peers scored the same or lower than it.
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We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.